ProScalper๐ ProScalper - Professional 1-Minute Scalping System
๐ฏ Overview
ProScalper is a sophisticated, multi-confluence scalping indicator designed specifically for 1-minute chart trading. Combining advanced technical analysis with intelligent signal filtering, it provides high-probability trade setups with clear entry, stop loss, and take profit levels.
โจ Key Features
๐บ Smart Signal Detection
Range Filter Technology: Fast-responding trend detection (25-period) optimized for 1-minute timeframe
Medium-sized triangles appear above/below candles for clear buy/sell signals
Only most recent signal shown - no chart clutter
Automatically deletes old signals when new ones appear
๐ Real-Time Signal Table
Top-center display shows complete trade breakdown
Grade system: A+, A, B+, B, C+ ratings for every setup
All confluence reasons listed with checkmarks
Score and R:R displayed for instant trade quality assessment
Color-coded: Green for LONG, Red for SHORT
๐ Multi-Confluence Analysis
ProScalper combines 10+ technical factors:
โ
EMA Trend: 4 EMAs (200, 48, 13, 8) for multi-timeframe alignment
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VWAP: Dynamic support/resistance
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Fibonacci Retracement: Golden ratio (61.8%), 50%, 38.2%, 78.6%
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Range Filter: Adaptive trend confirmation
โ
Pivot Points: Smart reversal detection
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Volume Analysis: Spike detection and volume profile
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Higher Timeframe: 5-minute trend confirmation
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HTF Support/Resistance: Key levels from higher timeframes
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Liquidity Sweeps: Smart money detection
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Opening Range Breakout: First 15-minute range
๐ฐ Complete Trade Management
Entry Lines: Dashed green (LONG) or red (SHORT) showing exact entry
Stop Loss: Red dashed line with price label
Take Profit: Blue dashed line with price label and R:R
Partial Exits: 1R level marked with orange dashed line
All lines extend 10 bars for clean alignment with Fibonacci levels
๐ Dynamic Risk/Reward
Adaptive R:R calculation based on market volatility
Targets adjusted for pivot distances
Minimum 1.2:1 to maximum 3.5:1 for scalping
Position sizing based on account risk percentage
๐จ Professional Visualization
Clean chart layout - no clutter, only essential information
Custom EMA colors: Red (200), Aqua (48), Green (13), White (8)
Gold VWAP line for key support/resistance
Color-coded Fibonacci: Bright yellow (61.8%), white (50%), orange (38.2%), fuchsia (78.6%)
No shaded zones - pure price action focus
๐ Performance Tracking
Real-time statistics table (optional)
Win rate, total trades, P&L tracking
Average R:R and win/loss ratios
Setup-specific performance metrics
โ๏ธ Settings & Customization
Risk Management
Adjustable account risk per trade (default: 0.5%)
ATR-based stop loss multiplier (default: 0.8 for tight scalping)
Dynamic position sizing
Signal Sensitivity
Confluence Score Threshold: 40-100 (default: 55 for balanced signals)
Range Filter Period: 25 bars (fast signals for 1-min)
Range Filter Multiplier: 2.2 (tighter bands for more signals)
Visual Controls
Toggle signal table on/off
Show/hide Fibonacci levels
Control EMA visibility
Adjust table text size
Partial Exits
1R: 50% (default)
2R: 30% (default)
3R: 20% (default)
Fully customizable percentages
Trailing Stops
ATR-Based (best for scalping)
Pivot-Based
EMA-Based
Breakeven trigger at 0.8R
๐ฏ Best Use Cases
Ideal For:
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1-minute scalping on liquid instruments
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Day traders looking for quick 2-8 minute trades
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High-frequency trading with 8-15 signals per session
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Trending markets where Range Filter excels
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Crypto, Forex, Futures - works on all liquid assets
Trading Style:
Timeframe: 1-minute (can work on 3-5 min with adjusted settings)
Hold Time: 3-8 minutes average
Target: 1.2-3R per trade
Frequency: 8-15 signals per day
Win Rate: 45-55% (with proper risk management)
๐ How to Use
Step 1: Wait for Signal
Watch for green triangle (BUY) or red triangle (SELL)
Signal table appears at top center automatically
Step 2: Review Confluence
Check grade (prefer A+, A, B+ for best quality)
Review all reasons listed in table
Confirm score is above your threshold (55+ recommended)
Note the R:R ratio
Step 3: Enter Trade
Enter at current market price
Set stop loss at red dashed line
Set take profit at blue dashed line
Mark 1R level (orange line) for partial exit
Step 4: Manage Trade
Exit 50% at 1R (orange line)
Move to breakeven after 0.8R
Trail remaining position using your chosen method
Exit fully at TP or opposite signal
๐จ Chart Setup Recommendations
Optimal Display:
Timeframe: 1-minute
Chart Type: Candles or Heikin Ashi
Background: Dark theme for best color visibility
Volume: Enable volume bars below chart
Complementary Indicators (optional):
Order flow/Delta for institutional confirmation
Market profile for key levels
Economic calendar for news avoidance
โ ๏ธ Important Notes
Risk Disclaimer:
Not financial advice - for educational purposes only
Always use proper risk management (0.5-1% per trade max)
Past performance doesn't guarantee future results
Test on demo account before live trading
Best Practices:
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Trade during high liquidity hours (9:30-11 AM, 2-4 PM EST)
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Avoid news events and market open/close (first/last 2 minutes)
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Use tight stops (0.8-1.0 ATR) for 1-minute scalping
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Take partial profits quickly (1R = 50% off)
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Respect max daily loss limits (3% recommended)
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Focus on A and B grade setups for consistency
What Makes This Different:
๐ฏ Complete system - not just signals, but full trade management
๐ Multi-confluence - 10+ factors analyzed per trade
๐จ Professional visualization - clean, focused chart design
โก Optimized for 1-min - settings specifically tuned for fast scalping
๐ Transparent reasoning - see exactly why each trade was taken
๐ Grade system - instantly know trade quality
๐ง Technical Details
Pine Script Version: 5
Overlay: Yes (plots on price chart)
Max Lines: 500
Max Labels: 100
Non-repainting: All signals confirmed on bar close
Alerts: Compatible with TradingView alerts
๐ Support & Updates
This indicator is actively maintained and optimized for 1-minute scalping. Settings can be adjusted for different timeframes and trading styles, but default configuration is specifically tuned for high-frequency 1-minute scalping.
๐ Get Started
Add ProScalper to your 1-minute chart
Adjust settings to your risk tolerance
Wait for signals (green/red triangles)
Follow the signal table guidance
Manage trades using provided levels
Track performance with stats table
Happy Scalping! ๐โก๐ฐ
Cari dalam skrip untuk "scalping"
Timeframe Resistance Evaluation And Detection - CoffeeKillerTREAD - Timeframe Resistance Evaluation And Detection Guide
๐ Important Technical Limitation ๐
**This indicator does NOT fetch true higher timeframe data.** Instead, it simulates higher timeframe levels by aggregating data from your current chart timeframe. This means:
- Results will vary depending on what chart timeframe you're viewing
- Levels may not match actual higher timeframe candle highs/lows
- You might miss important wicks or gaps that occurred between chart timeframe bars
- **Always verify levels against actual higher timeframe charts before trading**
Welcome traders! This guide will walk you through the TREAD (Timeframe Resistance Evaluation And Detection) indicator, a multi-timeframe analysis tool developed by CoffeeKiller that identifies support and resistance confluence across different time periods.(I am 50+ year old trader and always thought I was bad a teaching and explaining so you get a AI guide. I personally use this on the 5 minute chart with the default settings, but to each there own and if you can improve the trend detection methods please DM me. I would like to see the code. Thanks)
Core Components
1. Dual Timeframe Level Tracking
- Short Timeframe Levels: Tracks opening price extremes within shorter periods
- Long Timeframe Levels: Tracks actual high/low extremes within longer periods
- Dynamic Reset Mechanism: Levels reset at the start of each new timeframe period
- Momentum Detection: Identifies when levels change mid-period, indicating active price movement
2. Visual Zone System
- High Zones: Areas between long timeframe highs and short timeframe highs
- Low Zones: Areas between long timeframe lows and short timeframe lows
- Fill Coloring: Dynamic colors based on whether levels are static or actively changing
- Momentum Highlighting: Special colors when levels break during active periods
3. Customizable Display Options
- Multiple Plot Styles: Line, circles, or cross markers
- Flexible Timeframe Selection: Wide range of short and long timeframe combinations
- Color Customization: Separate colors for each level type and momentum state
- Toggle Controls: Show/hide different elements based on trading preference
Main Features
Timeframe Settings
- Short Timeframe Options: 15m, 30m, 1h, 2h, 4h
- Long Timeframe Options: 1h, 2h, 4h, 8h, 12h, 1D, 1W
- Recommended Combinations:
- Scalping: 15m/1h or 30m/2h
- Day Trading: 30m/4h or 1h/4h
- Swing Trading: 4h/1D or 1D/1W
Display Configuration
- Level Visibility: Toggle short/long timeframe levels independently
- Fill Zone Control: Enable/disable colored zones between levels
- Momentum Fills: Special highlighting for actively changing levels
- Line Customization: Width, style, and color options for all elements
Color System
- Short TF High: Default red for resistance levels
- Short TF Low: Default green for support levels
- Long TF High: Transparent red for broader resistance context
- Long TF Low: Transparent green for broader support context
- Momentum Colors: Brighter colors when levels are actively changing
Technical Implementation Details
How Level Tracking Works
The indicator uses a custom tracking function that:
1. Detects Timeframe Periods: Uses `time()` function to identify when new periods begin
2. Tracks Extremes: Monitors highest/lowest values within each period
3. Resets on New Periods: Clears tracking when timeframe periods change
4. Updates Mid-Period: Continues tracking if new extremes are reached
The Timeframe Limitation Explained
`pinescript
// What the indicator does:
short_tf_start = ta.change(time(short_timeframe)) != 0 // Detects 30m period start
= track_highest(open, short_tf_start) // BUT uses chart TF opens!
// What true multi-timeframe would be:
// short_tf_high = request.security(syminfo.tickerid, short_timeframe, high)
`
This means:
- On a 5m chart with 30m/4h settings: Tracks 5m bar opens during 30m and 4h windows
- On a 1m chart with same settings: Tracks 1m bar opens during 30m and 4h windows
- Results will be different between chart timeframes
- May miss important price action that occurred between your chart's bars
Visual Elements
1. Level Lines
- Short TF High: Upper resistance line from shorter timeframe analysis
- Short TF Low: Lower support line from shorter timeframe analysis
- Long TF High: Broader resistance context from longer timeframe
- Long TF Low: Broader support context from longer timeframe
2. Zone Fills
- High Zone: Area between long TF high and short TF high (potential resistance cluster)
- Low Zone: Area between long TF low and short TF low (potential support cluster)
- Regular Fill: Standard transparency when levels are static
- Momentum Fill: Enhanced visibility when levels are actively changing
3. Dynamic Coloring
- Static Periods: Normal colors when levels haven't changed recently
- Active Periods: Momentum colors when levels are being tested/broken
- Confluence Zones: Different intensities based on timeframe alignment
Trading Applications
1. Support/Resistance Trading
- Entry Points: Trade bounces from zone boundaries
- Confluence Areas: Focus on areas where short and long TF levels cluster
- Zone Breaks: Enter on confirmed breaks through entire zones
- Multiple Timeframe Confirmation: Stronger signals when both timeframes align
2. Range Trading
- Zone Boundaries: Use fill zones as range extremes
- Mean Reversion: Trade back toward opposite zone when price reaches extremes
- Breakout Preparation: Watch for momentum color changes indicating potential breakouts
- Risk Management: Place stops outside the opposite zone
3. Trend Following
- Direction Bias: Trade in direction of zone breaks
- Pullback Entries: Enter on pullbacks to broken zones (now support/resistance)
- Momentum Confirmation: Use momentum coloring to confirm trend strength
- Multiple Timeframe Alignment: Strongest trends when both timeframes agree
4. Scalping Applications
- Quick Bounces: Trade rapid moves between zone boundaries
- Momentum Signals: Enter when momentum colors appear
- Short-Term Targets: Use opposite zone as profit target
- Tight Stops: Place stops just outside current zone
Optimization Guide
1. Timeframe Selection
For Different Trading Styles:
- Scalping: 15m/1h - Quick levels, frequent updates
- Day Trading: 30m/4h - Balanced view, good for intraday moves
- Swing Trading: 4h/1D - Longer-term perspective, fewer false signals
- Position Trading: 1D/1W - Major structural levels
2. Chart Timeframe Considerations
**Important**: Your chart timeframe affects results
- Lower Chart TF: More granular level tracking, but may be noisy
- Higher Chart TF: Smoother levels, but may miss important price action
- Recommended: Use chart timeframe 2-4x smaller than short indicator timeframe
3. Display Settings
- Busy Charts: Disable fills, show only key levels
- Clean Analysis: Enable all fills and momentum coloring
- Multi-Monitor Setup: Use different color schemes for easy identification
- Mobile Trading: Increase line width for visibility
Best Practices
1. Level Verification
- Always Cross-Check: Verify levels against actual higher timeframe charts
- Multiple Timeframes: Check 2-3 different chart timeframes for consistency
- Price Action Confirmation: Wait for candlestick confirmation at levels
- Volume Analysis: Combine with volume for stronger confirmation
2. Risk Management
- Stop Placement: Use zones rather than exact prices for stops
- Position Sizing: Reduce size when zones are narrow (higher risk)
- Multiple Targets: Scale out at different zone boundaries
- False Break Protection: Allow for minor zone penetrations
3. Signal Quality Assessment
- Momentum Colors: Higher probability when momentum coloring appears
- Zone Width: Wider zones often provide stronger support/resistance
- Historical Testing: Backtest on your preferred timeframe combinations
- Market Conditions: Adjust sensitivity based on volatility
Advanced Features
1. Momentum Detection System
The indicator tracks when levels change mid-period:
`pinescript
short_high_changed = short_high != short_high and not short_tf_start
`
This identifies:
- Active level testing
- Potential breakout situations
- Increased market volatility
- Trend acceleration points
2. Dynamic Color System
Complex conditional logic determines fill colors:
- Static Zones: Regular transparency for stable levels
- Active Zones: Enhanced colors for changing levels
- Mixed States: Different combinations based on user preferences
- Custom Overrides: User can prioritize certain color schemes
3. Zone Interaction Analysis
- Convergence: When short and long TF levels approach each other
- Divergence: When timeframes show conflicting levels
- Alignment: When both timeframes agree on direction
- Transition: When one timeframe changes while other remains static
Common Issues and Solutions
1. Inconsistent Levels
Problem: Levels look different on various chart timeframes
Solution: Always verify against actual higher timeframe charts
2. Missing Price Action
Problem: Important wicks or gaps not reflected in levels
Solution: Use chart timeframe closer to indicator's short timeframe setting
3. Too Many Signals
Problem: Excessive level changes and momentum alerts
Solution: Increase timeframe settings or reduce chart timeframe granularity
4. Lagging Signals
Problem: Levels seem to update too slowly
Solution: Decrease chart timeframe or use more sensitive timeframe combinations
Recommended Setups
Conservative Approach
- Timeframes: 4h/1D
- Chart: 1h
- Display: Show fills only, no momentum coloring
- Use: Swing trading, position management
Aggressive Approach
- Timeframes: 15m/1h
- Chart: 5m
- Display: All features enabled, momentum highlighting
- Use: Scalping, quick reversal trades
Balanced Approach
- Timeframes: 30m/4h
- Chart: 15m
- Display: Selective fills, momentum on key levels
- Use: Day trading, multi-session analysis
Final Notes
**Remember**: This indicator provides a synthetic view of multi-timeframe levels, not true higher timeframe data. While useful for identifying potential confluence areas, always verify important levels by checking actual higher timeframe charts.
**Best Results When**:
- Combined with actual multi-timeframe analysis
- Used for confluence confirmation rather than primary signals
- Applied with proper risk management
- Verified against price action and volume
**DISCLAIMER**: This indicator and its signals are intended solely for educational and informational purposes. The timeframe limitation means results may not reflect true higher timeframe levels. Always conduct your own analysis and verify levels independently before making trading decisions. Trading involves significant risk of loss.
MTF EMA Trading SystemHere's a comprehensive description and usage guide for publishing your MTF EMA Trading System indicator on TradingView:
MTF EMA Trading System - Pro Edition
๐ Indicator Overview
The MTF EMA Trading System is an advanced multi-timeframe exponential moving average indicator designed for traders seeking high-probability setups with multiple confirmations. Unlike simple EMA crossover systems, this indicator combines trend alignment, momentum, volume analysis, and previous day confluence to generate reliable long and short signals with optimal risk-reward ratios.
โจ Key Features
1. Multi-Timeframe EMA Analysis
Configure 5 independent EMAs (default: 9, 21, 50, 100, 200)
Each EMA can pull data from ANY timeframe (5m, 15m, 1H, 4H, 1D, etc.)
Color-coded lines with customizable widths
End-of-line labels showing EMA period and timeframe (e.g., "EMA200 ")
Perfect for analyzing higher timeframe trends on lower timeframe charts
2. Advanced Signal Generation (Beyond Simple Crosses)
The system requires MULTIPLE confirmations before generating a signal:
LONG Signals Require:
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Price action trigger (EMA cross, bounce from key EMA, or pullback setup)
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Bullish EMA alignment (EMAs in proper ascending order)
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Volume spike confirmation (configurable threshold)
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RSI momentum confirmation (bullish but not overbought)
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Sufficient EMA separation (avoids choppy/whipsaw conditions)
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Price above previous day's low (confluence with support)
SHORT Signals Require:
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Price action trigger (EMA cross, rejection from key EMA, or pullback setup)
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Bearish EMA alignment (EMAs in proper descending order)
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Volume spike confirmation
โ
RSI momentum confirmation (bearish but not oversold)
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Sufficient EMA separation
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Price below previous day's high (confluence with resistance)
3. Real-Time Dashboard
Displays critical market conditions at a glance:
Overall trend direction (Bullish/Bearish/Neutral)
Price position relative to all EMAs
Volume status (spike or normal)
RSI momentum reading
EMA confluence strength
EMA separation quality
Current ATR value
Previous day high/low levels
Current signal status (LONG/SHORT/WAIT)
Risk-reward ratio
4. Clean Visual Design
Large, clear trade signal markers (green triangles for LONG, red triangles for SHORT)
No chart clutter - only essential information displayed
Customizable signal sizes
Professional color-coded dashboard
5. Built-In Risk Management
ATR-based calculations for stop loss placement
1:2 risk-reward ratio by default
All levels displayed in dashboard for easy reference
๐ฏ How to Use This Indicator
Step 1: Initial Setup
Add the indicator to your TradingView chart
Configure your preferred timeframes for each EMA:
EMA 9: Leave blank (uses chart timeframe) - Fast reaction to price
EMA 21: Leave blank or set to 15m - Key pivot level
EMA 50: Set to 1H - Intermediate trend
EMA 100: Set to 4H - Major trend filter
EMA 200: Set to 1D - Overall market bias
Adjust signal settings based on your trading style:
Conservative: Keep all confirmations enabled
Aggressive: Disable volume or momentum requirements
Scalping: Reduce min EMA separation to 0.2-0.3%
Step 2: Reading the Dashboard
Before taking any trade, check the dashboard:
Trend: Only take LONG signals in bullish trends, SHORT signals in bearish trends
Position: Confirm price is on the correct side of EMAs
Volume: Green spike = strong confirmation
RSI: Avoid extremes (>70 or <30)
Confluence: "Strong" = high probability setup
Separation: "Good" = trending market, avoid "Low" separation
Step 3: Trade Entry
For LONG Trades:
Wait for green triangle to appear below price
Verify dashboard shows:
Bullish or Neutral trend
Volume spike (preferred)
RSI between 50-70
Good separation
Enter at market or on next bar
Set stop loss at: Entry - (ATR ร 2)
Set target at: Entry + (ATR ร 4)
For SHORT Trades:
Wait for red triangle to appear above price
Verify dashboard shows:
Bearish or Neutral trend
Volume spike (preferred)
RSI between 30-50
Good separation
Enter at market or on next bar
Set stop loss at: Entry + (ATR ร 2)
Set target at: Entry - (ATR ร 4)
Step 4: Trade Management
Use the ATR values from dashboard for position sizing
Trail stops using the fastest EMA (EMA 9) as price moves in your favor
Exit partial position at 1:1 risk-reward, let remainder run to target
Exit immediately if dashboard trend changes against your position
๐ก Best Practices
Timeframe Recommendations:
Scalping: 1m-5m chart with 5m, 15m, 1H, 4H, 1D EMAs
Day Trading: 5m-15m chart with 15m, 1H, 4H, 1D EMAs
Swing Trading: 1H-4H chart with 4H, 1D, 1W EMAs
Position Trading: 1D chart with 1D, 1W, 1M EMAs
Market Conditions:
Best in: Trending markets with clear direction
Avoid: Tight consolidation, low volume periods, major news events
Filter trades: Only take signals aligned with higher timeframe trend
Risk Management:
Never risk more than 1-2% per trade
Use ATR from dashboard to calculate position size
Respect the stop loss levels
Don't force trades when dashboard shows weak conditions
โ๏ธ Customization Options
EMA Settings (for each of 5 EMAs):
Length (period)
Timeframe (multi-timeframe capability)
Color
Line width
Show/hide toggle
Signal Settings:
Volume confirmation (on/off)
Volume spike threshold (1.0-3.0x)
Momentum confirmation (on/off)
RSI overbought/oversold levels
Minimum EMA separation percentage
ATR period and stop multiplier
Display Settings:
Show/hide EMA labels
Show/hide trade signals
Signal marker size (tiny/small/normal/large)
Show/hide dashboard
๐ Alert Setup
The indicator includes 4 alert conditions:
LONG Signal - Fires when all long confirmations are met
SHORT Signal - Fires when all short confirmations are met
Bullish Setup - Early warning when trend aligns bullish with volume
Bearish Setup - Early warning when trend aligns bearish with volume
To set up alerts:
Right-click on chart โ Add Alert
Select "MTF EMA Trading System"
Choose your desired alert condition
Configure notification method (popup, email, SMS, webhook)
๐ Performance Tips
Increase Win Rate:
Only trade in direction of higher timeframe trend
Wait for volume spike confirmation
Avoid trades during first 30 minutes and last 15 minutes of session
Skip trades when separation is "Low"
Reduce False Signals:
Increase minimum EMA separation to 0.7-1.0%
Enable all confirmation requirements
Only trade when confluence shows "Strong"
Combine with support/resistance levels
Optimize for Your Market:
Stocks: Use 9, 21, 50, 100, 200 EMAs
Forex: Consider 8, 13, 21, 55, 89 EMAs (Fibonacci)
Crypto: May need wider ATR multiplier (2.5-3.0x) for volatility
โ ๏ธ Important Notes
This indicator is designed to reduce false signals by requiring multiple confirmations
No indicator is 100% accurate - always use proper risk management
Backtesting recommended before live trading
Market conditions change - adjust settings as needed
Works best in liquid markets with clear price action
๐ Conclusion
The MTF EMA Trading System transforms simple moving average analysis into a sophisticated, multi-confirmation trading strategy. By combining trend alignment, momentum, volume, and confluence, it helps traders identify high-probability setups while filtering out noise and false signals. The clean interface and comprehensive dashboard make it suitable for both beginners and experienced traders across all markets and timeframes.
Clock&Flow โ Market Pulse IndicatorClock&Flow โ Market Pulse Indicator
1) General Purpose
The Market Pulse Indicator is designed to visualize the strength and direction of market flow in a clear, intuitive way.
Unlike common volume or momentum indicators, it blends three essential dimensions โ price velocity, normalized volume, and volatility (ATR) โ to highlight when market pressure is truly meaningful.
It helps identify genuine liquidity inflows/outflows, potential exhaustion zones, and moments of compression or expansion within the price structure.
2) Data Sources
All data is directly taken from the current chartโs feed on TradingView:
Price (close): to measure relative price change.
Volume: to detect the intensity of market participation (normalized to average).
ATR (Average True Range): to evaluate volatility relative to price levels.
No external data or off-platform sources are used.
3) Logic and Calculation Steps
Price Velocity: calculates the percentage change between the current close and the close N bars ago.
priceChange = (close - close ) / close
Normalized Volume: compares current volume to its moving average over the same period.
volNorm = volume / sma(volume, length)
Normalized Volatility: ATR divided by price to adjust for instrument scale.
atrNorm = atr(length) / close
Combination : multiplies the three components into one raw value that represents market pulse intensity.
rawPulse = priceChange * volNorm * (1 + atrNorm)
Smoothing: a moving average (smoothLen) is applied to create a cleaner and more readable oscillator line.
flowPulse = sma(rawPulse * multiplier, smoothLen)
4) Parameters (Default Settings)
length (20): analysis period for price change, volume, and ATR.
smoothLen (5): smoothing factor; higher values reduce noise.
multiplier (100): scales the output for readability; adjust to fit chart scale.
5) How to Read the Indicator
Market Pulse > 0 (green): net inflow of liquidity; buying pressure dominates.
Market Pulse < 0 (red): net outflow of liquidity; selling pressure dominates.
Near 0: neutral phase; market balance or consolidation.
Sudden peaks: strong bursts of flow โ often coincide with news releases or session overlaps.
Confirmations: use as a second-level filter before entering trades or to confirm momentum behind a breakout.
6) Divergences
Divergences between price and Market Pulse are key signals of weakening flow strength:
Bullish divergence: price forms lower lows while Market Pulse forms higher lows โ selling pressure is fading; potential reversal or bounce.
Bearish divergence: price forms higher highs while Market Pulse fails to confirm โ buying momentum is losing strength; potential correction ahead.
For reliability, look for divergences on higher timeframes (H4, Daily).
On lower timeframes, treat them as early warnings.
7) Typical Use Cases
Breakout confirmation: price breaks resistance with a rising Market Pulse โ confirms genuine participation.
False signal filter: price breaks a level but Market Pulse remains flat/negative โ likely fake breakout.
Pullback entry: after a breakout, wait for a short retracement and a new positive pulse โ safer entry point.
Exit signal: if youโre long and Market Pulse suddenly turns negative with strong volume โ consider partial exit or tighter stops.
8) Recommended Timeframes
Intraday / Scalping: 5โ30 min charts with length 10โ14, smoothLen 3โ5.
Swing trading: 1hโ4h charts with length 20โ50.
Position trading: Daily charts with larger length (50โ100) for smoother data.
Always optimize parameters to the specific asset โ there are no universal settings.
9) Limitations
This indicator is not a trading system โ itโs a decision-support tool.
Results depend on the quality of the volume data available for the symbol.
Performance and sensitivity are influenced by length, smoothing, and multiplier values โ always test before live trading.
Use alongside sound risk and money management.
10) Disclaimer
This script is provided for educational purposes only and does not constitute financial advice.
Trading and investing involve significant risk, including the potential loss of capital.
Always test indicators in simulation environments and make independent decisions based on your own analysis and risk tolerance.
Italiano
1) Scopo generale
Flow Pulse รจ un oscillatore pensato per visualizzare la forza e la direzione del flusso di mercato in modo immediato. Non รจ un semplice indicatore di volume nรฉ una copia di RSI/MACD: combina tre dimensioni fondamentali โ variazione di prezzo, volume normalizzato e volatilitร โ per mettere in evidenza i momenti in cui la pressione dei partecipanti รจ realmente significativa.
ร ideale per identificare: entrate guidate da flussi reali, potenziali esaurimenti, momenti di compressione/espansione del movimento e segnali di conferma per breakout o rimbalzi.
2) Dati utilizzati
Lโindicatore usa esclusivamente dati disponibili sulla piattaforma TradingView del grafico corrente:
price (close) โ per calcolare la variazione percentuale del prezzo;
volume per misurare lโintensitร degli scambi (normalizzato su media);
ATR (Average True Range) โ per normalizzare la volatilitร rispetto al prezzo;
Tutti i feed (prezzo e volume) sono quelli forniti dallโexchange/fornitore dati collegato al simbolo sul grafico.
3) Logica e passaggi di calcolo
Velocitร del prezzo: calcolo della variazione percentuale tra la chiusura corrente e la chiusura N barre fa:
priceChange = (close - close ) / close
โ misura la direzione e magnitudine del movimento in termine relativo.
Volume normalizzato: rapporto tra il volume corrente e la media mobile semplice del volume su length barre:
volNorm = volume / sma(volume, length)
โ evidenzia volumi anomali rispetto alla media.
Volatilitร normalizzata (ATR): rapporto ATR/close per rendere la volatilitร comparabile across price levels:
atrNorm = atr(length) / close
Combinazione: il prodotto di questi fattori (con un piccolo offset su ATR) genera un valore grezzo:
rawPulse = priceChange * volNorm * (1 + atrNorm)
โ se priceChange e volNorm sono positivi e lโATR รจ presente, il rawPulse sarร significativamente positivo.
Smoothing: media mobile semplice (SMA) applicata al rawPulse e moltiplicazione per un fattore scalare (multiplier) per portare il range su livelli leggibili:
flowPulse = sma(rawPulse * multiplier, smoothLen)
4) Parametri esposti (default consigliati)
length (periodo analisi) โ default 20: influenza calcolo ฮ% e media volumi; allunga la finestra storica.
smoothLen (smussamento) โ default 5: smoothing del segnale per ridurre rumore.
multiplier โ default 100: fattore di scala per rendere lโoscillatore piรน leggibile.
5) Interpretazione pratica dei valori
FlowPulse > 0 (verde): predominanza di flusso dโingresso โ pressione dโacquisto. Maggiore il valore, piรน forte la convinzione (volume + movimento + volatilitร ).
FlowPulse < 0 (rosso): predominanza di flusso in uscita โ pressione di vendita.
Vicino a 0: assenza di flussi netti chiari; mercato piatto o bilanciato.
Picchi repentini: indicano accelerate di flusso โ spesso coincidono con rotture, open/close session, news.
Sostegno al trade: usa FlowPulse come conferma prima di entrare su breakout o come avviso di attenzione su esaurimenti.
6) Divergenze (come leggerle)
Le divergenze tra prezzo e FlowPulse sono segnali importanti:
Divergenza rialzista (bullish divergence): prezzo fa nuovi minimi mentre FlowPulse non fa nuovi minimi (o forma minimo relativo piรน alto) โ indica che la spinta di vendita non รจ supportata da volume/volatilitร , possibile inversione/rimbalzo.
Divergenza ribassista (bearish divergence): prezzo fa nuovi massimi mentre FlowPulse non li conferma (o forma massimo relativo piรน basso) โ la spinta dโacquisto รจ โdeboleโ, possibile esaurimento e inversione.
Note pratiche: cercare divergenze su timeframe maggiori (H4, D) per maggiore attendibilitร ; sui timeframe minori prendere solo come early warning.
7) Esempi dโuso operativo
Conferma breakout: prezzo rompe resistenza + FlowPulse positivo e crescente โ breakout piรน probabile e con volumi reali.
Filtro per falsi segnali: prezzo rompe ma FlowPulse รจ piatto/negativo โ alto rischio di false breakout.
Entrata per pullback: dopo breakout, attendere un pullback con FlowPulse che torna positivo โ ingresso piรน prudente.
Gestione delle uscite: se sei long e FlowPulse improvvisamente si inverte in negativo su volumi elevati โ considerare riduzione posizione o stop.
8) Timeframe consigliati
Intraday / Scalping: M5โM30 con length ridotto (es. 10โ14) e smoothLen piccolo.
Swing trading: H1โH4 con length 20โ50.
Position trading: D1 con length maggiore per filtrare rumore.
Testa i parametri sul tuo asset e timeframe; nessun parametro รจ universale.
9) Limitazioni e avvertenze
Lโindicatore non รจ un sistema di trading completo: รจ un tool di informazione e timing.
Dipende dalla qualitร dei dati di volume del simbolo: su alcuni titoli/mercati (es. alcuni ETF, Forex su certi broker) il volume puรฒ essere parziale o non rappresentativo.
I valori di margine/multiplier e smoothing influenzano sensibilmente sensibilitร e falsi segnali: backtest e ottimizzazione sono raccomandati.
Non usare il solo FlowPulse per entrare su leva elevata senza gestione del rischio12) Disclaimer da inserire
Disclaimer: Questo indicatore รจ fornito solo a scopo didattico e non costituisce consulenza finanziaria. Lโuso comporta rischi: valuta sempre la gestione del rischio e testa su conto demo prima dellโapplicazione in reale.
Green*DiamondGreen*Diamond (GD1)
Unleash Dynamic Trading Signals with Volatility and Momentum
Overview
GreenDiamond is a versatile overlay indicator designed for traders seeking actionable buy and sell signals across various markets and timeframes. Combining Volatility Bands (VB) bands, Consolidation Detection, MACD, RSI, and a unique Ribbon Wave, it highlights high-probability setups while filtering out noise. With customizable signals like Green-Yellow Buy, Pullback Sell, and Inverse Pullback Buy, plus vibrant candle and volume visuals, GreenDiamond adapts to your trading styleโwhether youโre scalping, day trading, or swing trading.
Key Features
Volatility Bands (VB): Plots dynamic upper and lower bands to identify breakouts or reversals, with toggleable buy/sell signals outside consolidation zones.
Consolidation Detection: Marks low-range periods to avoid choppy markets, ensuring signals fire during trending conditions.
MACD Signals: Offers flexible buy/sell conditions (e.g., cross above signal, above zero, histogram up) with RSI divergence integration for precision.
RSI Filter: Enhances signals with customizable levels (midline, oversold/overbought) and bullish divergence detection.
Ribbon Wave: Visualizes trend strength using three EMAs, colored by MACD and RSI for intuitive momentum cues.
Custom Signals: Includes Green-Yellow Buy, Pullback Sell, and Inverse Pullback Buy, with limits on consecutive signals to prevent overtrading.
Candle & Volume Styling: Blends MACD/RSI colors on candles and scales volume bars to highlight momentum spikes.
Alerts: Set up alerts for VB signals, MACD crosses, Green*Diamond signals, and custom conditions to stay on top of opportunities.
How It Works
Green*Diamond integrates multiple indicators to generate signals:
Volatility Bands: Calculates bands using a pivot SMA and standard deviation. Buy signals trigger on crossovers above the lower band, sell signals on crossunders below the upper band (if enabled).
Consolidation Filter: Suppresses signals when candle ranges are below a threshold, keeping you out of flat markets.
MACD & RSI: Combines MACD conditions (e.g., cross above signal) with RSI filters (e.g., above midline) and optional volume spikes for robust signals.
Custom Logic: Green-Yellow Buy uses MACD bullishness, Pullback Sell targets retracements, and Inverse Pullback Buy catches reversals after downmovesโall filtered to avoid consolidation.
Visuals: Ribbon Wave shows trend direction, candles blend momentum colors, and volume bars scale dynamically to confirm signals.
Settings
Volatility Bands Settings:
VB Lookback Period (20): Adjust to 10โ15 for faster markets (e.g., 1-minute scalping) or 25โ30 for daily charts.
Upper/Lower Band Multiplier (1.0): Increase to 1.5โ2.0 for wider bands in volatile stocks like AEHL; decrease to 0.5 for calmer markets.
Show Volatility Bands: Toggle off to reduce chart clutter.
Use VB Signals: Enable for breakout-focused trades; disable to focus on Green*Diamond signals.
Consolidation Settings:
Consolidation Lookback (14): Set to 5โ10 for small caps (e.g., AEHL) to catch quick consolidations; 20 for higher timeframes.
Range Threshold (0.5): Lower to 0.3 for stricter filtering in choppy markets; raise to 0.7 for looser signals.
MACD Settings:
Fast/Slow Length (12/26): Shorten to 8/21 for scalping; extend to 15/34 for swing trading.
Signal Smoothing (9): Reduce to 5 for faster signals; increase to 12 for smoother trends.
Buy/Sell Signal Options: Choose โCross Above Signalโ for classic MACD; โHistogram Upโ for momentum plays.
Use RSI Div + MACD Cross: Enable for high-probability reversal signals.
RSI Settings:
RSI Period (14): Drop to 10 for 1-minute charts; raise to 20 for daily.
Filter Level (50): Set to 55 for stricter buys; 45 for sells.
Overbought/Oversold (70/30): Tighten to 65/35 for small caps; widen to 75/25 for indices.
RSI Buy/Sell Options: Select โBullish Divergenceโ for reversals; โCross Above Oversoldโ for momentum.
Color Settings:
Adjust bullish/bearish colors for visibility (e.g., brighter green/red for dark themes).
Border Thickness (1): Increase to 2โ3 for clearer candle outlines.
Volume Settings:
Volume Average Length (20): Shorten to 10 for scalping; extend to 30 for swing trades.
Volume Multiplier (2.0): Raise to 3.0 for AEHLโs volume surges; lower to 1.5 for steady stocks.
Bar Height (10%): Increase to 15% for prominent bars; decrease to 5% to reduce clutter.
Ribbon Settings:
EMA Periods (10/20/30): Tighten to 5/10/15 for scalping; widen to 20/40/60 for trends.
Color by MACD/RSI: Disable for simpler visuals; enable for dynamic momentum cues.
Gradient Fill: Toggle on for trend clarity; off for minimalism.
Custom Signals:
Enable Green-Yellow Buy: Use for momentum confirmation; limit to 1โ2 signals to avoid spam.
Pullback/Inverse Pullback % (50): Set to 30โ40% for small caps; 60โ70% for indices.
Max Buy Signals (1): Increase to 2โ3 for active markets; keep at 1 for discipline.
Tips and Tricks
Scalping Small Caps (e.g., AEHL):
Use 1-minute charts with VB Lookback = 10, Consolidation Lookback = 5, and Volume Multiplier = 3.0 to catch $0.10โ$0.20 moves.
Enable Green-Yellow Buy and Inverse Pullback Buy for quick entries; disable VB Signals to focus on Green*Diamond logic.
Pair with SMC+ green boxes (if you use them) for reversal confirmation.
Day Trading:
Try 5-minute charts with MACD Fast/Slow = 8/21 and RSI Period = 10.
Enable RSI Divergence + MACD Cross for high-probability setups; set Max Buy Signals = 2.
Watch for volume bars turning yellow to confirm entries.
Swing Trading:
Use daily charts with VB Lookback = 30, Ribbon EMAs = 20/40/60.
Enable Pullback Sell (60%) to exit after rallies; disable RSI Color for cleaner candles.
Check Ribbon Wave gradient for trend strengthโbright green signals strong bulls.
Avoiding Noise:
Increase Consolidation Threshold to 0.7 on volatile days to skip false breakouts.
Disable Ribbon Wave or Volume Bars if the chart feels crowded.
Limit Max Buy Signals to 1 for disciplined trading.
Alert Setup:
In TradingViewโs Alerts panel, select:
โGD Buy Signalโ for standard entries.
โRSI Div + MACD Cross Buyโ for reversals.
โVB Buy Signalโ for breakout plays.
Set to โOnce Per Bar Closeโ for confirmed signals; โOnce Per Barโ for scalping.
Backtesting:
Replay on small caps ( Float < 5M, Price $0.50โ$5) to test signals.
Focus on โGD Buy Signalโ with yellow volume bars and green Ribbon Wave.
Avoid signals during gray consolidation squares unless paired with RSI Divergence.
Usage Notes
Markets: Works on stocks, forex, crypto, and indices. Best for volatile assets (e.g., small-cap stocks, BTCUSD).
Timeframes: Scalping (1โ5 minutes), day trading (15โ60 minutes), or swing trading (daily). Adjust settings per timeframe.
Risk Management: Combine with stop-losses (e.g., 1% risk, $0.05 below AEHL entry) and take-profits (3โ5%).
Customization: Tweak inputs to match your strategyโexperiment in replay to find your sweet spot.
Disclaimer
Green*Diamond is a technical tool to assist with trade identification, not a guarantee of profits. Trading involves risks, and past performance doesnโt predict future results. Always conduct your own analysis, manage risk, and test settings before live trading.
Feedback
Love Green*Diamond? Found a killer setup?
Advanced Trend Navigator by S B PrasadAdvanced Trend Navigator โ by S B Prasad
A Professional Multi-Engine Trend & Breakout Trading System
Advanced Trend Navigator is a powerful, all-in-one trading indicator that combines smart EMA trend detection, adaptive filters, ribbon trend analysis, automatic trend channels, divergence detection, and built-in SL/Target projection into a single, visually intuitive system.
It is designed for both scalpers and swing traders, with special optimization for 1-minute charts and robust performance on higher timeframes.
๐น Core Features
1๏ธโฃ Smart EMA Trend Engine
Dual EMA crossover system (Fast & Slow)
Automatic optimization for 1-minute timeframe
Detects:
Trend direction
Trend reversals
Momentum shifts
2๏ธโฃ Multi-Layer Signal Filters
Signals are validated using a powerful filter stack:
Volume Filter (above-average volume confirmation)
RSI Filter with dynamic buy/sell thresholds
Bollinger Bands (overbought / oversold zones)
Momentum Filter (ROC-based strength detection)
Volatility Adaptation (ATR-based regime detection)
These filters dramatically reduce false signals and noise.
3๏ธโฃ RSI Divergence Detection (1-Minute Optimized)
Bullish and bearish divergence detection
Automatic confidence boost when divergence appears
Helps identify early trend reversals and exhaustion zones
4๏ธโฃ Enhanced Signal Logic
Signals are generated using a confluence of:
EMA crossovers
Candle direction
Volume + RSI + BB + Momentum
Divergence + trend-change logic
Separate logic is used for:
1-minute scalping
Higher-timeframe trend trading
5๏ธโฃ Ribbon Trend System (CoraWave + LazyLine)
Advanced smoothed ribbon using:
CoraWave (fast line)
LazyLine (slow line)
Dynamic color-changing trend visualization
Ribbon fill highlights:
Strong bullish zones
Strong bearish zones
Neutral / transition phases
6๏ธโฃ Automatic Trend Channel
Pivot-based dynamic trend channels
ATR-adjusted channel width
Auto-extended support & resistance structure
Visual map of evolving trend direction
7๏ธโฃ Buy / Sell Breakout Signals (No-Spam Logic)
Signals only when:
Ribbon trend agrees
Price breaks channel boundaries
Built-in cooldown filter to prevent over-trading
Separate engine from EMA signals for dual confirmation
8๏ธโฃ Built-In SL / Target Projection
Automatic Stop-Loss based on channel boundary
Risk-based Target 1 and Target 2 (R-multiples)
Dynamic plotting of:
SL line
Target 1 line
Target 2 line
9๏ธโฃ Smart Time & Profit Projection
ATR-based time-to-move estimation
Dynamic profit potential estimation
Displays:
Expected move duration (minutes)
Approximate profit projection
๐ Confidence Scoring System
Dynamic confidence % for each signal
Automatically increases when:
Divergence is detected
Bollinger extremes are triggered
๐จ Visual & Usability Features
Color-coded:
EMA lines
Ribbon trend
Trend channels
Background trend bias
Dynamic:
LONG / SHORT arrows
Signal labels with confidence + projection
Current trend status box
๐ Alerts Included
EMA-based LONG / SHORT alerts
Ribbon fast/slow trend change alerts
Channel breakout BUY / SELL alerts
Alert messages include:
Symbol
Confidence %
Time projection
๐ Recommended Usage
Scalping:
1-minute or 3-minute charts
Enable Volume, RSI, Momentum, and Volatility filters
Intraday / Swing Trading:
5-minute to Daily charts
Use EMA + Ribbon + Channel confluence
5-Minute Scalping Settings
(High-probability intraday trades)
๐น EMA Settings
Fast EMA: 5
Slow EMA: 13
๐น Filters
Volume Filter
Use Volume Filter: โ
ON
Volume Threshold: 1.2
RSI Filter
Use RSI Filter: โ OFF
(Turn ON only in very choppy markets)
RSI Length: 14
RSI Buy Level: 30
RSI Sell Level: 70
Bollinger Bands
Use Bollinger Bands: โ
ON
BB Length: 20
BB Multiplier: 2.0
Momentum Filter (ROC)
Use Momentum: โ OFF
(Turn ON only for breakout-only trading)
Momentum Length: 3
Momentum Threshold %: 0.10
Volatility Adaptation
Use Volatility Adaptation: โ OFF
(Enable only for highly volatile stocks / crypto)
Volatility Multiplier: 1.5
๐น Ribbon Settings
Fast Length: 12
Fast Smooth: 3
Slow Length: 18
Show Ribbon Fill: โ
ON
๐น Trend Channel
Pivot Length: 7
ATR Length: 14
Channel Width (ATR): 1.7
๐น Buy / Sell Signals
Show Buy / Sell Signals: โ
ON
Signal Cooldown (Bars): 25
๐น SL / Target Projection
Show SL / Target Projection: โ
ON
Target 1 (R): 1.0
Target 2 (R): 2.5
๐น Visual / Display (Optional)
Show BB on Chart: โ OFF (keep chart clean)
Background Transparency: 80
Value to Display: Time (recommended for scalping)
๐ฏ How to Trade (5-Minute Mode)
Take BUY when:
Fast EMA > Slow EMA
Ribbon is green + rising
Price breaks above upper channel
Volume filter passes
Buy arrow appears
Take SELL when:
Fast EMA < Slow EMA
Ribbon is red + falling
Price breaks below lower channel
Volume filter passes
Sell arrow appears
โ Avoid Trades When
Ribbon is flat or mixed colors
Channel is very narrow
Price is inside the channel
Volume filter fails
โ ๏ธ Disclaimer
This indicator is a technical analysis tool, not financial advice.
Always use proper risk management and confirm signals with market context.
Past performance does not guarantee future results.
Pullback Master Pro v2Yes, excellent for scalping too when used on lower timeframes (1-15 min):
Why it works for scalping:
Quick pullback identification for fast entries
EMA slope changes catch momentum shifts early
RSI extremes pinpoint overextended moves
Volume spikes confirm momentum entries
Fast signals for quick in-and-out trades
Scalping Setup:
Use on 1-5 minute charts
Set higher timeframe to 15-30 minutes for trend filter
Shorter EMA periods (5-9) for faster signals
Small pullback depth (5-15%) for tighter entries
The indicator's real-time signals and clean visualization make it ideal for rapid scalping decisions.
Tensor Market Analysis Engine (TMAE)# Tensor Market Analysis Engine (TMAE)
## Advanced Multi-Dimensional Mathematical Analysis System
*Where Quantum Mathematics Meets Market Structure*
---
## ๐ THEORETICAL FOUNDATION
The Tensor Market Analysis Engine represents a revolutionary synthesis of three cutting-edge mathematical frameworks that have never before been combined for comprehensive market analysis. This indicator transcends traditional technical analysis by implementing advanced mathematical concepts from quantum mechanics, information theory, and fractal geometry.
### ๐ Multi-Dimensional Volatility with Jump Detection
**Hawkes Process Implementation:**
The TMAE employs a sophisticated Hawkes process approximation for detecting self-exciting market jumps. Unlike traditional volatility measures that treat price movements as independent events, the Hawkes process recognizes that market shocks cluster and exhibit memory effects.
**Mathematical Foundation:**
```
Intensity ฮป(t) = ฮผ + ฮฃ ฮฑ(t - Tแตข)
```
Where market jumps at times Tแตข increase the probability of future jumps through the decay function ฮฑ, controlled by the Hawkes Decay parameter (0.5-0.99).
**Mahalanobis Distance Calculation:**
The engine calculates volatility jumps using multi-dimensional Mahalanobis distance across up to 5 volatility dimensions:
- **Dimension 1:** Price volatility (standard deviation of returns)
- **Dimension 2:** Volume volatility (normalized volume fluctuations)
- **Dimension 3:** Range volatility (high-low spread variations)
- **Dimension 4:** Correlation volatility (price-volume relationship changes)
- **Dimension 5:** Microstructure volatility (intrabar positioning analysis)
This creates a volatility state vector that captures market behavior impossible to detect with traditional single-dimensional approaches.
### ๐ Hurst Exponent Regime Detection
**Fractal Market Hypothesis Integration:**
The TMAE implements advanced Rescaled Range (R/S) analysis to calculate the Hurst exponent in real-time, providing dynamic regime classification:
- **H > 0.6:** Trending (persistent) markets - momentum strategies optimal
- **H < 0.4:** Mean-reverting (anti-persistent) markets - contrarian strategies optimal
- **H โ 0.5:** Random walk markets - breakout strategies preferred
**Adaptive R/S Analysis:**
Unlike static implementations, the TMAE uses adaptive windowing that adjusts to market conditions:
```
H = log(R/S) / log(n)
```
Where R is the range of cumulative deviations and S is the standard deviation over period n.
**Dynamic Regime Classification:**
The system employs hysteresis to prevent regime flipping, requiring sustained Hurst values before regime changes are confirmed. This prevents false signals during transitional periods.
### ๐ Transfer Entropy Analysis
**Information Flow Quantification:**
Transfer entropy measures the directional flow of information between price and volume, revealing lead-lag relationships that indicate future price movements:
```
TE(XโY) = ฮฃ p(yโโโ, yโ, xโ) log
```
**Causality Detection:**
- **Volume โ Price:** Indicates accumulation/distribution phases
- **Price โ Volume:** Suggests retail participation or momentum chasing
- **Balanced Flow:** Market equilibrium or transition periods
The system analyzes multiple lag periods (2-20 bars) to capture both immediate and structural information flows.
---
## ๐ง COMPREHENSIVE INPUT SYSTEM
### Core Parameters Group
**Primary Analysis Window (10-100, Default: 50)**
The fundamental lookback period affecting all calculations. Optimization by timeframe:
- **1-5 minute charts:** 20-30 (rapid adaptation to micro-movements)
- **15 minute-1 hour:** 30-50 (balanced responsiveness and stability)
- **4 hour-daily:** 50-100 (smooth signals, reduced noise)
- **Asset-specific:** Cryptocurrency 20-35, Stocks 35-50, Forex 40-60
**Signal Sensitivity (0.1-2.0, Default: 0.7)**
Master control affecting all threshold calculations:
- **Conservative (0.3-0.6):** High-quality signals only, fewer false positives
- **Balanced (0.7-1.0):** Optimal risk-reward ratio for most trading styles
- **Aggressive (1.1-2.0):** Maximum signal frequency, requires careful filtering
**Signal Generation Mode:**
- **Aggressive:** Any component signals (highest frequency)
- **Confluence:** 2+ components agree (balanced approach)
- **Conservative:** All 3 components align (highest quality)
### Volatility Jump Detection Group
**Volatility Dimensions (2-5, Default: 3)**
Determines the mathematical space complexity:
- **2D:** Price + Volume volatility (suitable for clean markets)
- **3D:** + Range volatility (optimal for most conditions)
- **4D:** + Correlation volatility (advanced multi-asset analysis)
- **5D:** + Microstructure volatility (maximum sensitivity)
**Jump Detection Threshold (1.5-4.0ฯ, Default: 3.0ฯ)**
Standard deviations required for volatility jump classification:
- **Cryptocurrency:** 2.0-2.5ฯ (naturally volatile)
- **Stock Indices:** 2.5-3.0ฯ (moderate volatility)
- **Forex Major Pairs:** 3.0-3.5ฯ (typically stable)
- **Commodities:** 2.0-3.0ฯ (varies by commodity)
**Jump Clustering Decay (0.5-0.99, Default: 0.85)**
Hawkes process memory parameter:
- **0.5-0.7:** Fast decay (jumps treated as independent)
- **0.8-0.9:** Moderate clustering (realistic market behavior)
- **0.95-0.99:** Strong clustering (crisis/event-driven markets)
### Hurst Exponent Analysis Group
**Calculation Method Options:**
- **Classic R/S:** Original Rescaled Range (fast, simple)
- **Adaptive R/S:** Dynamic windowing (recommended for trading)
- **DFA:** Detrended Fluctuation Analysis (best for noisy data)
**Trending Threshold (0.55-0.8, Default: 0.60)**
Hurst value defining persistent market behavior:
- **0.55-0.60:** Weak trend persistence
- **0.65-0.70:** Clear trending behavior
- **0.75-0.80:** Strong momentum regimes
**Mean Reversion Threshold (0.2-0.45, Default: 0.40)**
Hurst value defining anti-persistent behavior:
- **0.35-0.45:** Weak mean reversion
- **0.25-0.35:** Clear ranging behavior
- **0.15-0.25:** Strong reversion tendency
### Transfer Entropy Parameters Group
**Information Flow Analysis:**
- **Price-Volume:** Classic flow analysis for accumulation/distribution
- **Price-Volatility:** Risk flow analysis for sentiment shifts
- **Multi-Timeframe:** Cross-timeframe causality detection
**Maximum Lag (2-20, Default: 5)**
Causality detection window:
- **2-5 bars:** Immediate causality (scalping)
- **5-10 bars:** Short-term flow (day trading)
- **10-20 bars:** Structural flow (swing trading)
**Significance Threshold (0.05-0.3, Default: 0.15)**
Minimum entropy for signal generation:
- **0.05-0.10:** Detect subtle information flows
- **0.10-0.20:** Clear causality only
- **0.20-0.30:** Very strong flows only
---
## ๐จ ADVANCED VISUAL SYSTEM
### Tensor Volatility Field Visualization
**Five-Layer Resonance Bands:**
The tensor field creates dynamic support/resistance zones that expand and contract based on mathematical field strength:
- **Core Layer (Purple):** Primary tensor field with highest intensity
- **Layer 2 (Neutral):** Secondary mathematical resonance
- **Layer 3 (Info Blue):** Tertiary harmonic frequencies
- **Layer 4 (Warning Gold):** Outer field boundaries
- **Layer 5 (Success Green):** Maximum field extension
**Field Strength Calculation:**
```
Field Strength = min(3.0, Mahalanobis Distance ร Tensor Intensity)
```
The field amplitude adjusts to ATR and mathematical distance, creating dynamic zones that respond to market volatility.
**Radiation Line Network:**
During active tensor states, the system projects directional radiation lines showing field energy distribution:
- **8 Directional Rays:** Complete angular coverage
- **Tapering Segments:** Progressive transparency for natural visual flow
- **Pulse Effects:** Enhanced visualization during volatility jumps
### Dimensional Portal System
**Portal Mathematics:**
Dimensional portals visualize regime transitions using category theory principles:
- **Green Portals (โ):** Trending regime detection (appear below price for support)
- **Red Portals (โ):** Mean-reverting regime (appear above price for resistance)
- **Yellow Portals (โ):** Random walk regime (neutral positioning)
**Tensor Trail Effects:**
Each portal generates 8 trailing particles showing mathematical momentum:
- **Large Particles (โ):** Strong mathematical signal
- **Medium Particles (โฆ):** Moderate signal strength
- **Small Particles (ยท):** Weak signal continuation
- **Micro Particles (ห):** Signal dissipation
### Information Flow Streams
**Particle Stream Visualization:**
Transfer entropy creates flowing particle streams indicating information direction:
- **Upward Streams:** Volume leading price (accumulation phases)
- **Downward Streams:** Price leading volume (distribution phases)
- **Stream Density:** Proportional to information flow strength
**15-Particle Evolution:**
Each stream contains 15 particles with progressive sizing and transparency, creating natural flow visualization that makes information transfer immediately apparent.
### Fractal Matrix Grid System
**Multi-Timeframe Fractal Levels:**
The system calculates and displays fractal highs/lows across five Fibonacci periods:
- **8-Period:** Short-term fractal structure
- **13-Period:** Intermediate-term patterns
- **21-Period:** Primary swing levels
- **34-Period:** Major structural levels
- **55-Period:** Long-term fractal boundaries
**Triple-Layer Visualization:**
Each fractal level uses three-layer rendering:
- **Shadow Layer:** Widest, darkest foundation (width 5)
- **Glow Layer:** Medium white core line (width 3)
- **Tensor Layer:** Dotted mathematical overlay (width 1)
**Intelligent Labeling System:**
Smart spacing prevents label overlap using ATR-based minimum distances. Labels include:
- **Fractal Period:** Time-based identification
- **Topological Class:** Mathematical complexity rating (0, I, II, III)
- **Price Level:** Exact fractal price
- **Mahalanobis Distance:** Current mathematical field strength
- **Hurst Exponent:** Current regime classification
- **Anomaly Indicators:** Visual strength representations (โ โ โ โก)
### Wick Pressure Analysis
**Rejection Level Mathematics:**
The system analyzes candle wick patterns to project future pressure zones:
- **Upper Wick Analysis:** Identifies selling pressure and resistance zones
- **Lower Wick Analysis:** Identifies buying pressure and support zones
- **Pressure Projection:** Extends lines forward based on mathematical probability
**Multi-Layer Glow Effects:**
Wick pressure lines use progressive transparency (1-8 layers) creating natural glow effects that make pressure zones immediately visible without cluttering the chart.
### Enhanced Regime Background
**Dynamic Intensity Mapping:**
Background colors reflect mathematical regime strength:
- **Deep Transparency (98% alpha):** Subtle regime indication
- **Pulse Intensity:** Based on regime strength calculation
- **Color Coding:** Green (trending), Red (mean-reverting), Neutral (random)
**Smoothing Integration:**
Regime changes incorporate 10-bar smoothing to prevent background flicker while maintaining responsiveness to genuine regime shifts.
### Color Scheme System
**Six Professional Themes:**
- **Dark (Default):** Professional trading environment optimization
- **Light:** High ambient light conditions
- **Classic:** Traditional technical analysis appearance
- **Neon:** High-contrast visibility for active trading
- **Neutral:** Minimal distraction focus
- **Bright:** Maximum visibility for complex setups
Each theme maintains mathematical accuracy while optimizing visual clarity for different trading environments and personal preferences.
---
## ๐ INSTITUTIONAL-GRADE DASHBOARD
### Tensor Field Status Section
**Field Strength Display:**
Real-time Mahalanobis distance calculation with dynamic emoji indicators:
- **โก (Lightning):** Extreme field strength (>1.5ร threshold)
- **โ (Solid Circle):** Strong field activity (>1.0ร threshold)
- **โ (Open Circle):** Normal field state
**Signal Quality Rating:**
Democratic algorithm assessment:
- **ELITE:** All 3 components aligned (highest probability)
- **STRONG:** 2 components aligned (good probability)
- **GOOD:** 1 component active (moderate probability)
- **WEAK:** No clear component signals
**Threshold and Anomaly Monitoring:**
- **Threshold Display:** Current mathematical threshold setting
- **Anomaly Level (0-100%):** Combined volatility and volume spike measurement
- **>70%:** High anomaly (red warning)
- **30-70%:** Moderate anomaly (orange caution)
- **<30%:** Normal conditions (green confirmation)
### Tensor State Analysis Section
**Mathematical State Classification:**
- **โ BULL (Tensor State +1):** Trending regime with bullish bias
- **โ BEAR (Tensor State -1):** Mean-reverting regime with bearish bias
- **โ SUPER (Tensor State 0):** Random walk regime (neutral)
**Visual State Gauge:**
Five-circle progression showing tensor field polarity:
- **๐ข๐ข๐ขโชโช:** Strong bullish mathematical alignment
- **โชโช๐กโชโช:** Neutral/transitional state
- **โชโช๐ด๐ด๐ด:** Strong bearish mathematical alignment
**Trend Direction and Phase Analysis:**
- **๐ BULL / ๐ BEAR / โก๏ธ NEUTRAL:** Primary trend classification
- **๐ช๏ธ CHAOS:** Extreme information flow (>2.0 flow strength)
- **โก ACTIVE:** Strong information flow (1.0-2.0 flow strength)
- **๐ด CALM:** Low information flow (<1.0 flow strength)
### Trading Signals Section
**Real-Time Signal Status:**
- **๐ข ACTIVE / โช INACTIVE:** Long signal availability
- **๐ด ACTIVE / โช INACTIVE:** Short signal availability
- **Components (X/3):** Active algorithmic components
- **Mode Display:** Current signal generation mode
**Signal Strength Visualization:**
Color-coded component count:
- **Green:** 3/3 components (maximum confidence)
- **Aqua:** 2/3 components (good confidence)
- **Orange:** 1/3 components (moderate confidence)
- **Gray:** 0/3 components (no signals)
### Performance Metrics Section
**Win Rate Monitoring:**
Estimated win rates based on signal quality with emoji indicators:
- **๐ฅ (Fire):** โฅ60% estimated win rate
- **๐ (Thumbs Up):** 45-59% estimated win rate
- **โ ๏ธ (Warning):** <45% estimated win rate
**Mathematical Metrics:**
- **Hurst Exponent:** Real-time fractal dimension (0.000-1.000)
- **Information Flow:** Volume/price leading indicators
- **๐ VOL:** Volume leading price (accumulation/distribution)
- **๐ฐ PRICE:** Price leading volume (momentum/speculation)
- **โ NONE:** Balanced information flow
- **Volatility Classification:**
- **๐ฅ HIGH:** Above 1.5ร jump threshold
- **๐ NORM:** Normal volatility range
- **๐ด LOW:** Below 0.5ร jump threshold
### Market Structure Section (Large Dashboard)
**Regime Classification:**
- **๐ TREND:** Hurst >0.6, momentum strategies optimal
- **๐ REVERT:** Hurst <0.4, contrarian strategies optimal
- **๐ฒ RANDOM:** Hurst โ0.5, breakout strategies preferred
**Mathematical Field Analysis:**
- **Dimensions:** Current volatility space complexity (2D-5D)
- **Hawkes ฮป (Lambda):** Self-exciting jump intensity (0.00-1.00)
- **Jump Status:** ๐จ JUMP (active) / โ
NORM (normal)
### Settings Summary Section (Large Dashboard)
**Active Configuration Display:**
- **Sensitivity:** Current master sensitivity setting
- **Lookback:** Primary analysis window
- **Theme:** Active color scheme
- **Method:** Hurst calculation method (Classic R/S, Adaptive R/S, DFA)
**Dashboard Sizing Options:**
- **Small:** Essential metrics only (mobile/small screens)
- **Normal:** Balanced information density (standard desktop)
- **Large:** Maximum detail (multi-monitor setups)
**Position Options:**
- **Top Right:** Standard placement (avoids price action)
- **Top Left:** Wide chart optimization
- **Bottom Right:** Recent price focus (scalping)
- **Bottom Left:** Maximum price visibility (swing trading)
---
## ๐ฏ SIGNAL GENERATION LOGIC
### Multi-Component Convergence System
**Component Signal Architecture:**
The TMAE generates signals through sophisticated component analysis rather than simple threshold crossing:
**Volatility Component:**
- **Jump Detection:** Mahalanobis distance threshold breach
- **Hawkes Intensity:** Self-exciting process activation (>0.2)
- **Multi-dimensional:** Considers all volatility dimensions simultaneously
**Hurst Regime Component:**
- **Trending Markets:** Price above SMA-20 with positive momentum
- **Mean-Reverting Markets:** Price at Bollinger Band extremes
- **Random Markets:** Bollinger squeeze breakouts with directional confirmation
**Transfer Entropy Component:**
- **Volume Leadership:** Information flow from volume to price
- **Volume Spike:** Volume 110%+ above 20-period average
- **Flow Significance:** Above entropy threshold with directional bias
### Democratic Signal Weighting
**Signal Mode Implementation:**
- **Aggressive Mode:** Any single component triggers signal
- **Confluence Mode:** Minimum 2 components must agree
- **Conservative Mode:** All 3 components must align
**Momentum Confirmation:**
All signals require momentum confirmation:
- **Long Signals:** RSI >50 AND price >EMA-9
- **Short Signals:** RSI <50 AND price 0.6):**
- **Increase Sensitivity:** Catch momentum continuation
- **Lower Mean Reversion Threshold:** Avoid counter-trend signals
- **Emphasize Volume Leadership:** Institutional accumulation/distribution
- **Tensor Field Focus:** Use expansion for trend continuation
- **Signal Mode:** Aggressive or Confluence for trend following
**Range-Bound Markets (Hurst <0.4):**
- **Decrease Sensitivity:** Avoid false breakouts
- **Lower Trending Threshold:** Quick regime recognition
- **Focus on Price Leadership:** Retail sentiment extremes
- **Fractal Grid Emphasis:** Support/resistance trading
- **Signal Mode:** Conservative for high-probability reversals
**Volatile Markets (High Jump Frequency):**
- **Increase Hawkes Decay:** Recognize event clustering
- **Higher Jump Threshold:** Avoid noise signals
- **Maximum Dimensions:** Capture full volatility complexity
- **Reduce Position Sizing:** Risk management adaptation
- **Enhanced Visuals:** Maximum information for rapid decisions
**Low Volatility Markets (Low Jump Frequency):**
- **Decrease Jump Threshold:** Capture subtle movements
- **Lower Hawkes Decay:** Treat moves as independent
- **Reduce Dimensions:** Simplify analysis
- **Increase Position Sizing:** Capitalize on compressed volatility
- **Minimal Visuals:** Reduce distraction in quiet markets
---
## ๐ ADVANCED TRADING STRATEGIES
### The Mathematical Convergence Method
**Entry Protocol:**
1. **Fractal Grid Approach:** Monitor price approaching significant fractal levels
2. **Tensor Field Confirmation:** Verify field expansion supporting direction
3. **Portal Signal:** Wait for dimensional portal appearance
4. **ELITE/STRONG Quality:** Only trade highest quality mathematical signals
5. **Component Consensus:** Confirm 2+ components agree in Confluence mode
**Example Implementation:**
- Price approaching 21-period fractal high
- Tensor field expanding upward (bullish mathematical alignment)
- Green portal appears below price (trending regime confirmation)
- ELITE quality signal with 3/3 components active
- Enter long position with stop below fractal level
**Risk Management:**
- **Stop Placement:** Below/above fractal level that generated signal
- **Position Sizing:** Based on Mahalanobis distance (higher distance = smaller size)
- **Profit Targets:** Next fractal level or tensor field resistance
### The Regime Transition Strategy
**Regime Change Detection:**
1. **Monitor Hurst Exponent:** Watch for persistent moves above/below thresholds
2. **Portal Color Change:** Regime transitions show different portal colors
3. **Background Intensity:** Increasing regime background intensity
4. **Mathematical Confirmation:** Wait for regime confirmation (hysteresis)
**Trading Implementation:**
- **Trending Transitions:** Trade momentum breakouts, follow trend
- **Mean Reversion Transitions:** Trade range boundaries, fade extremes
- **Random Transitions:** Trade breakouts with tight stops
**Advanced Techniques:**
- **Multi-Timeframe:** Confirm regime on higher timeframe
- **Early Entry:** Enter on regime transition rather than confirmation
- **Regime Strength:** Larger positions during strong regime signals
### The Information Flow Momentum Strategy
**Flow Detection Protocol:**
1. **Monitor Transfer Entropy:** Watch for significant information flow shifts
2. **Volume Leadership:** Strong edge when volume leads price
3. **Flow Acceleration:** Increasing flow strength indicates momentum
4. **Directional Confirmation:** Ensure flow aligns with intended trade direction
**Entry Signals:**
- **Volume โ Price Flow:** Enter during accumulation/distribution phases
- **Price โ Volume Flow:** Enter on momentum confirmation breaks
- **Flow Reversal:** Counter-trend entries when flow reverses
**Optimization:**
- **Scalping:** Use immediate flow detection (2-5 bar lag)
- **Swing Trading:** Use structural flow (10-20 bar lag)
- **Multi-Asset:** Compare flow between correlated assets
### The Tensor Field Expansion Strategy
**Field Mathematics:**
The tensor field expansion indicates mathematical pressure building in market structure:
**Expansion Phases:**
1. **Compression:** Field contracts, volatility decreases
2. **Tension Building:** Mathematical pressure accumulates
3. **Expansion:** Field expands rapidly with directional movement
4. **Resolution:** Field stabilizes at new equilibrium
**Trading Applications:**
- **Compression Trading:** Prepare for breakout during field contraction
- **Expansion Following:** Trade direction of field expansion
- **Reversion Trading:** Fade extreme field expansion
- **Multi-Dimensional:** Consider all field layers for confirmation
### The Hawkes Process Event Strategy
**Self-Exciting Jump Trading:**
Understanding that market shocks cluster and create follow-on opportunities:
**Jump Sequence Analysis:**
1. **Initial Jump:** First volatility jump detected
2. **Clustering Phase:** Hawkes intensity remains elevated
3. **Follow-On Opportunities:** Additional jumps more likely
4. **Decay Period:** Intensity gradually decreases
**Implementation:**
- **Jump Confirmation:** Wait for mathematical jump confirmation
- **Direction Assessment:** Use other components for direction
- **Clustering Trades:** Trade subsequent moves during high intensity
- **Decay Exit:** Exit positions as Hawkes intensity decays
### The Fractal Confluence System
**Multi-Timeframe Fractal Analysis:**
Combining fractal levels across different periods for high-probability zones:
**Confluence Zones:**
- **Double Confluence:** 2 fractal levels align
- **Triple Confluence:** 3+ fractal levels cluster
- **Mathematical Confirmation:** Tensor field supports the level
- **Information Flow:** Transfer entropy confirms direction
**Trading Protocol:**
1. **Identify Confluence:** Find 2+ fractal levels within 1 ATR
2. **Mathematical Support:** Verify tensor field alignment
3. **Signal Quality:** Wait for STRONG or ELITE signal
4. **Risk Definition:** Use fractal level for stop placement
5. **Profit Targeting:** Next major fractal confluence zone
---
## โ ๏ธ COMPREHENSIVE RISK MANAGEMENT
### Mathematical Position Sizing
**Mahalanobis Distance Integration:**
Position size should inversely correlate with mathematical field strength:
```
Position Size = Base Size ร (Threshold / Mahalanobis Distance)
```
**Risk Scaling Matrix:**
- **Low Field Strength (<2.0):** Standard position sizing
- **Moderate Field Strength (2.0-3.0):** 75% position sizing
- **High Field Strength (3.0-4.0):** 50% position sizing
- **Extreme Field Strength (>4.0):** 25% position sizing or no trade
### Signal Quality Risk Adjustment
**Quality-Based Position Sizing:**
- **ELITE Signals:** 100% of planned position size
- **STRONG Signals:** 75% of planned position size
- **GOOD Signals:** 50% of planned position size
- **WEAK Signals:** No position or paper trading only
**Component Agreement Scaling:**
- **3/3 Components:** Full position size
- **2/3 Components:** 75% position size
- **1/3 Components:** 50% position size or skip trade
### Regime-Adaptive Risk Management
**Trending Market Risk:**
- **Wider Stops:** Allow for trend continuation
- **Trend Following:** Trade with regime direction
- **Higher Position Size:** Trend probability advantage
- **Momentum Stops:** Trail stops based on momentum indicators
**Mean-Reverting Market Risk:**
- **Tighter Stops:** Quick exits on trend continuation
- **Contrarian Positioning:** Trade against extremes
- **Smaller Position Size:** Higher reversal failure rate
- **Level-Based Stops:** Use fractal levels for stops
**Random Market Risk:**
- **Breakout Focus:** Trade only clear breakouts
- **Tight Initial Stops:** Quick exit if breakout fails
- **Reduced Frequency:** Skip marginal setups
- **Range-Based Targets:** Profit targets at range boundaries
### Volatility-Adaptive Risk Controls
**High Volatility Periods:**
- **Reduced Position Size:** Account for wider price swings
- **Wider Stops:** Avoid noise-based exits
- **Lower Frequency:** Skip marginal setups
- **Faster Exits:** Take profits more quickly
**Low Volatility Periods:**
- **Standard Position Size:** Normal risk parameters
- **Tighter Stops:** Take advantage of compressed ranges
- **Higher Frequency:** Trade more setups
- **Extended Targets:** Allow for compressed volatility expansion
### Multi-Timeframe Risk Alignment
**Higher Timeframe Trend:**
- **With Trend:** Standard or increased position size
- **Against Trend:** Reduced position size or skip
- **Neutral Trend:** Standard position size with tight management
**Risk Hierarchy:**
1. **Primary:** Current timeframe signal quality
2. **Secondary:** Higher timeframe trend alignment
3. **Tertiary:** Mathematical field strength
4. **Quaternary:** Market regime classification
---
## ๐ EDUCATIONAL VALUE AND MATHEMATICAL CONCEPTS
### Advanced Mathematical Concepts
**Tensor Analysis in Markets:**
The TMAE introduces traders to tensor analysis, a branch of mathematics typically reserved for physics and advanced engineering. Tensors provide a framework for understanding multi-dimensional market relationships that scalar and vector analysis cannot capture.
**Information Theory Applications:**
Transfer entropy implementation teaches traders about information flow in markets, a concept from information theory that quantifies directional causality between variables. This provides intuition about market microstructure and participant behavior.
**Fractal Geometry in Trading:**
The Hurst exponent calculation exposes traders to fractal geometry concepts, helping understand that markets exhibit self-similar patterns across multiple timeframes. This mathematical insight transforms how traders view market structure.
**Stochastic Process Theory:**
The Hawkes process implementation introduces concepts from stochastic process theory, specifically self-exciting point processes. This provides mathematical framework for understanding why market events cluster and exhibit memory effects.
### Learning Progressive Complexity
**Beginner Mathematical Concepts:**
- **Volatility Dimensions:** Understanding multi-dimensional analysis
- **Regime Classification:** Learning market personality types
- **Signal Democracy:** Algorithmic consensus building
- **Visual Mathematics:** Interpreting mathematical concepts visually
**Intermediate Mathematical Applications:**
- **Mahalanobis Distance:** Statistical distance in multi-dimensional space
- **Rescaled Range Analysis:** Fractal dimension measurement
- **Information Entropy:** Quantifying uncertainty and causality
- **Field Theory:** Understanding mathematical fields in market context
**Advanced Mathematical Integration:**
- **Tensor Field Dynamics:** Multi-dimensional market force analysis
- **Stochastic Self-Excitation:** Event clustering and memory effects
- **Categorical Composition:** Mathematical signal combination theory
- **Topological Market Analysis:** Understanding market shape and connectivity
### Practical Mathematical Intuition
**Developing Market Mathematics Intuition:**
The TMAE serves as a bridge between abstract mathematical concepts and practical trading applications. Traders develop intuitive understanding of:
- **How markets exhibit mathematical structure beneath apparent randomness**
- **Why multi-dimensional analysis reveals patterns invisible to single-variable approaches**
- **How information flows through markets in measurable, predictable ways**
- **Why mathematical models provide probabilistic edges rather than certainties**
---
## ๐ฌ IMPLEMENTATION AND OPTIMIZATION
### Getting Started Protocol
**Phase 1: Observation (Week 1)**
1. **Apply with defaults:** Use standard settings on your primary trading timeframe
2. **Study visual elements:** Learn to interpret tensor fields, portals, and streams
3. **Monitor dashboard:** Observe how metrics change with market conditions
4. **No trading:** Focus entirely on pattern recognition and understanding
**Phase 2: Pattern Recognition (Week 2-3)**
1. **Identify signal patterns:** Note what market conditions produce different signal qualities
2. **Regime correlation:** Observe how Hurst regimes affect signal performance
3. **Visual confirmation:** Learn to read tensor field expansion and portal signals
4. **Component analysis:** Understand which components drive signals in different markets
**Phase 3: Parameter Optimization (Week 4-5)**
1. **Asset-specific tuning:** Adjust parameters for your specific trading instrument
2. **Timeframe optimization:** Fine-tune for your preferred trading timeframe
3. **Sensitivity adjustment:** Balance signal frequency with quality
4. **Visual customization:** Optimize colors and intensity for your trading environment
**Phase 4: Live Implementation (Week 6+)**
1. **Paper trading:** Test signals with hypothetical trades
2. **Small position sizing:** Begin with minimal risk during learning phase
3. **Performance tracking:** Monitor actual vs. expected signal performance
4. **Continuous optimization:** Refine settings based on real performance data
### Performance Monitoring System
**Signal Quality Tracking:**
- **ELITE Signal Win Rate:** Track highest quality signals separately
- **Component Performance:** Monitor which components provide best signals
- **Regime Performance:** Analyze performance across different market regimes
- **Timeframe Analysis:** Compare performance across different session times
**Mathematical Metric Correlation:**
- **Field Strength vs. Performance:** Higher field strength should correlate with better performance
- **Component Agreement vs. Win Rate:** More component agreement should improve win rates
- **Regime Alignment vs. Success:** Trading with mathematical regime should outperform
### Continuous Optimization Process
**Monthly Review Protocol:**
1. **Performance Analysis:** Review win rates, profit factors, and maximum drawdown
2. **Parameter Assessment:** Evaluate if current settings remain optimal
3. **Market Adaptation:** Adjust for changes in market character or volatility
4. **Component Weighting:** Consider if certain components should receive more/less emphasis
**Quarterly Deep Analysis:**
1. **Mathematical Model Validation:** Verify that mathematical relationships remain valid
2. **Regime Distribution:** Analyze time spent in different market regimes
3. **Signal Evolution:** Track how signal characteristics change over time
4. **Correlation Analysis:** Monitor correlations between different mathematical components
---
## ๐ UNIQUE INNOVATIONS AND CONTRIBUTIONS
### Revolutionary Mathematical Integration
**First-Ever Implementations:**
1. **Multi-Dimensional Volatility Tensor:** First indicator to implement true tensor analysis for market volatility
2. **Real-Time Hawkes Process:** First trading implementation of self-exciting point processes
3. **Transfer Entropy Trading Signals:** First practical application of information theory for trade generation
4. **Democratic Component Voting:** First algorithmic consensus system for signal generation
5. **Fractal-Projected Signal Quality:** First system to predict signal quality at future price levels
### Advanced Visualization Innovations
**Mathematical Visualization Breakthroughs:**
- **Tensor Field Radiation:** Visual representation of mathematical field energy
- **Dimensional Portal System:** Category theory visualization for regime transitions
- **Information Flow Streams:** Real-time visual display of market information transfer
- **Multi-Layer Fractal Grid:** Intelligent spacing and projection system
- **Regime Intensity Mapping:** Dynamic background showing mathematical regime strength
### Practical Trading Innovations
**Trading System Advances:**
- **Quality-Weighted Signal Generation:** Signals rated by mathematical confidence
- **Regime-Adaptive Strategy Selection:** Automatic strategy optimization based on market personality
- **Anti-Spam Signal Protection:** Mathematical prevention of signal clustering
- **Component Performance Tracking:** Real-time monitoring of algorithmic component success
- **Field-Strength Position Sizing:** Mathematical volatility integration for risk management
---
## โ๏ธ RESPONSIBLE USAGE AND LIMITATIONS
### Mathematical Model Limitations
**Understanding Model Boundaries:**
While the TMAE implements sophisticated mathematical concepts, traders must understand fundamental limitations:
- **Markets Are Not Purely Mathematical:** Human psychology, news events, and fundamental factors create unpredictable elements
- **Past Performance Limitations:** Mathematical relationships that worked historically may not persist indefinitely
- **Model Risk:** Complex models can fail during unprecedented market conditions
- **Overfitting Potential:** Highly optimized parameters may not generalize to future market conditions
### Proper Implementation Guidelines
**Risk Management Requirements:**
- **Never Risk More Than 2% Per Trade:** Regardless of signal quality
- **Diversification Mandatory:** Don't rely solely on mathematical signals
- **Position Sizing Discipline:** Use mathematical field strength for sizing, not confidence
- **Stop Loss Non-Negotiable:** Every trade must have predefined risk parameters
**Realistic Expectations:**
- **Mathematical Edge, Not Certainty:** The indicator provides probabilistic advantages, not guaranteed outcomes
- **Learning Curve Required:** Complex mathematical concepts require time to master
- **Market Adaptation Necessary:** Parameters must evolve with changing market conditions
- **Continuous Education Important:** Understanding underlying mathematics improves application
### Ethical Trading Considerations
**Market Impact Awareness:**
- **Information Asymmetry:** Advanced mathematical analysis may provide advantages over other market participants
- **Position Size Responsibility:** Large positions based on mathematical signals can impact market structure
- **Sharing Knowledge:** Consider educational contributions to trading community
- **Fair Market Participation:** Use mathematical advantages responsibly within market framework
### Professional Development Path
**Skill Development Sequence:**
1. **Basic Mathematical Literacy:** Understand fundamental concepts before advanced application
2. **Risk Management Mastery:** Develop disciplined risk control before relying on complex signals
3. **Market Psychology Understanding:** Combine mathematical analysis with behavioral market insights
4. **Continuous Learning:** Stay updated on mathematical finance developments and market evolution
---
## ๐ฎ CONCLUSION
The Tensor Market Analysis Engine represents a quantum leap forward in technical analysis, successfully bridging the gap between advanced pure mathematics and practical trading applications. By integrating multi-dimensional volatility analysis, fractal market theory, and information flow dynamics, the TMAE reveals market structure invisible to conventional analysis while maintaining visual clarity and practical usability.
### Mathematical Innovation Legacy
This indicator establishes new paradigms in technical analysis:
- **Tensor analysis for market volatility understanding**
- **Stochastic self-excitation for event clustering prediction**
- **Information theory for causality-based trade generation**
- **Democratic algorithmic consensus for signal quality enhancement**
- **Mathematical field visualization for intuitive market understanding**
### Practical Trading Revolution
Beyond mathematical innovation, the TMAE transforms practical trading:
- **Quality-rated signals replace binary buy/sell decisions**
- **Regime-adaptive strategies automatically optimize for market personality**
- **Multi-dimensional risk management integrates mathematical volatility measures**
- **Visual mathematical concepts make complex analysis immediately interpretable**
- **Educational value creates lasting improvement in trading understanding**
### Future-Proof Design
The mathematical foundations ensure lasting relevance:
- **Universal mathematical principles transcend market evolution**
- **Multi-dimensional analysis adapts to new market structures**
- **Regime detection automatically adjusts to changing market personalities**
- **Component democracy allows for future algorithmic additions**
- **Mathematical visualization scales with increasing market complexity**
### Commitment to Excellence
The TMAE represents more than an indicatorโit embodies a philosophy of bringing rigorous mathematical analysis to trading while maintaining practical utility and visual elegance. Every component, from the multi-dimensional tensor fields to the democratic signal generation, reflects a commitment to mathematical accuracy, trading practicality, and educational value.
### Trading with Mathematical Precision
In an era where markets grow increasingly complex and computational, the TMAE provides traders with mathematical tools previously available only to institutional quantitative research teams. Yet unlike academic mathematical models, the TMAE translates complex concepts into intuitive visual representations and practical trading signals.
By combining the mathematical rigor of tensor analysis, the statistical power of multi-dimensional volatility modeling, and the information-theoretic insights of transfer entropy, traders gain unprecedented insight into market structure and dynamics.
### Final Perspective
Markets, like nature, exhibit profound mathematical beauty beneath apparent chaos. The Tensor Market Analysis Engine serves as a mathematical lens that reveals this hidden order, transforming how traders perceive and interact with market structure.
Through mathematical precision, visual elegance, and practical utility, the TMAE empowers traders to see beyond the noise and trade with the confidence that comes from understanding the mathematical principles governing market behavior.
Trade with mathematical insight. Trade with the power of tensors. Trade with the TMAE.
*"In mathematics, you don't understand things. You just get used to them." - John von Neumann*
*With the TMAE, mathematical market understanding becomes not just possible, but intuitive.*
โ Dskyz, Trade with insight. Trade with anticipation.
Williams Fractal MA Pullback Strategy (1.5 RR) - BY DANISHOverview
This strategy is a price action and moving average-based scalping strategy designed for low timeframes (1m, 5m, 15m). It combines trend alignment with pullbacks to key moving averages and uses Williams Fractals as entry triggers.
It aims to catch high-probability scalping trades in the direction of the prevailing trend while keeping strict risk management with a 1.5:1 risk-to-reward ratio.
Indicators Used
Three Simple Moving Averages (SMA):
Fast SMA: 20 periods (Green)
Medium SMA: 50 periods (Yellow)
Slow SMA: 100 periods (Red)
Williams Fractals (Period 2):
Identifies short-term local highs (red) and lows (green) for potential reversal or continuation setups.
Trend Rules
Bullish Trend (Long Setup):
Fast SMA (20) > Medium SMA (50) > Slow SMA (100)
Moving averages must not be crossing
Bearish Trend (Short Setup):
Slow SMA (100) > Medium SMA (50) > Fast SMA (20)
Moving averages must not be crossing
This ensures trades are only taken in the direction of the prevailing trend.
Entry Rules
Long Entry (Buy):
Price pulls back to either the 20 SMA (fast) or 50 SMA (medium) without closing below the 100 SMA (slow).
A green Williams Fractal forms after the pullback.
Confirm all trend alignment rules (20>50>100).
Enter a long position at the close of the candle that confirms the fractal.
Short Entry (Sell):
Price pulls back to either the 20 SMA (fast) or 50 SMA (medium) without closing above the 100 SMA (slow).
A red Williams Fractal forms after the pullback.
Confirm all trend alignment rules (100>50>20).
Enter a short position at the close of the candle that confirms the fractal.
Risk Management & Stop Loss
Long Trades:
If price stayed above 50 SMA during pullback โ SL is just below 50 SMA
If price dipped below 50 SMA but stayed above 100 SMA โ SL is just below 100 SMA
Short Trades:
If price stayed below 50 SMA during pullback โ SL is just above 50 SMA
If price rose above 50 SMA but stayed below 100 SMA โ SL is just above 100 SMA
Take Profit (TP)
Fixed 1.5 Risk-to-Reward ratio
TP = Risk ร 1.5
This ensures each trade has a positive expectancy and follows consistent risk-reward management.
Additional Rules
Fractals Confirmation:
The strategy waits for 2 bars to close before confirming the fractal signal to avoid repainting.
No trades are taken if the price violates the 100-period SMA during the pullback.
Designed for scalping on low timeframes: 1m, 5m, or 15m charts.
Visuals on Chart
SMA Lines:
20 SMA (Green)
50 SMA (Yellow)
100 SMA (Red)
Fractal Arrows:
Green fractal โ potential long entry
Red fractal โ potential short entry
Trade Highlights: Strategy plots entries and exit levels automatically with stop loss and take profit.
How to Use
Add the script to a 1m, 5m, or 15m chart.
Enable the strategy tester to see backtesting results.
Follow the trend alignment rules strictly for high-probability scalping trades.
Optionally, combine with volume filters or market structure analysis for better performance.
Benefits
Trades only in aligned trend direction, avoiding counter-trend traps.
Pullback + fractal logic provides high-probability entries.
Risk-to-reward of 1.5:1 ensures good risk management.
Avoids fractal repainting by waiting for candle close.
Ideal Conditions
Works best on volatile assets like crypto or forex pairs with clear trending moves.
Best applied to liquid markets with tight spreads for scalping.
โ
Summary:
Trend-aligned scalping strategy
Pullback to MA + fractal confirmation
Fixed 1.5 RR risk management
Works on low timeframes (1m, 5m, 15m)
Clean visual signals with SMMAs and fractals
Gold Smart Scalper V3 - Clean ChartOverview
The Gold Smart Scalper V3 is a trend-following momentum strategy specifically optimized for XAU/USD (Gold). It focuses on catching "value pullbacks" within a strong trend, avoiding the noise of sideways markets. Unlike many scalpers that use lagging indicators for exits, this version uses fixed ATR-based targets to lock in profits during high-volatility moves common in Gold.
Core Methodology
The strategy operates on three layers of confirmation:
Macro Trend (HTF Filter): Uses a 50-period EMA to ensure trades are only taken in the direction of the higher-timeframe momentum.
The Value Zone: Instead of "chasing" green or red candles, the script waits for a pullback to the space between the 9 EMA and 21 EMA. This ensures a better risk-to-reward entry point.
The Trigger: A trade is only executed when price confirms the resumption of the trend by crossing back over the signal EMA after the pullback.
Key Features
Fixed Profit Targets: Replaced dynamic trailing stops with fixed Take Profit (TP) and Stop Loss (SL) levels based on ATR, ensuring exits aren't "hunted" by Gold's signature volatility spikes.
C lean Chart Interface : All moving average plots are hidden. The only visuals provided are the active TP/SL levels when a trade is live, keeping your workspace clutter-free.
Single-Trade Logic: The script includes a "One Trade Per Cross" gate, preventing the strategy from over-trading or "stacking" positions during choppy price action.
Settings & OptimizationATR Multipliers :
Stop Loss (SL): Default $2.0 \times ATR$. Protects against standard market noise.Take Profit (TP): Default $3.0 \times ATR$. Designed for a high Risk/Reward profile.Timeframe Recommendation: Optimized for 15m and 1H for swing scalping, or 5m for aggressive scalping.Instrument: Specifically tuned for Gold (XAU/USD), but applicable to other high-volatility pairs like GBP/JPY or NASDAQ.
Disclaimer
This script is for educational and backtesting purposes only. Past performance does not guarantee future results. Always practice proper risk management.
JK Scalp - Nishith RajwarJK Scalp Nishith Rajwar
Multi-Stochastic Rotation & Momentum Scalping Framework
JK Scalp is a rule-based momentum and rotation oscillator designed for short-term scalping and intraday execution.
It focuses on how momentum rotates across multiple stochastic speeds, instead of relying on a single oscillator or lagging averages.
This is an execution aid, not a predictive indicator.
๐ง Concept & Originality
Unlike standard stochastic tools, JK Scalp uses four synchronized stochastic layers:
โข Fast (9,3) โ execution timing
โข Medium (14,3) โ structure confirmation
โข Slow (44,3) โ swing context
โข Trend (60,10,10) โ dominant momentum regime
The core idea is quad-rotation:
High-probability trades occur when all momentum layers rotate together after reaching an extreme.
This script combines:
โข Momentum rotation
โข Divergence logic
โข Flag continuation logic
โข Trend-state filtering
into a single cohesive framework, not a simple indicator mashup.
๐ How to Use (Step-by-Step)
1๏ธโฃ Best Timeframes
โข Scalping: 1m โ 3m
โข Intraday: 5m โ 15m
โข Avoid higher timeframes (not designed for swing holding)
Works best on:
โข Index options
โข Index futures
โข Highly liquid stocks
โข Crypto majors
2๏ธโฃ Understanding the Signals
๐ Quad Rotation (Core Signal)
A valid rotation requires:
โข Fast, Medium, Slow, and Trend stochastic moving in the same direction
โข Momentum exiting Overbought / Oversold zones
โข Trend stochastic supporting the move
This filters out random oscillator noise.
3๏ธโฃ Entry Conditions
๐ข LONG Setup
โข Bullish quad rotation
โข Either:
โ Bullish divergence OR
โ Bullish flag pullback
โข Fast stochastic turning up
๐ด SHORT Setup
โข Bearish quad rotation
โข Either:
โ Bearish divergence OR
โ Bearish flag pullback
โข Fast stochastic turning down
โ ๏ธ Signals are confirmation-based, not anticipatory.
4๏ธโฃ SUPER LONG / SUPER SHORT
These appear only when:
โข Quad rotation
โข Divergence confirmation
They represent high-confidence momentum inflection zones, not guaranteed reversals.
5๏ธโฃ Stop-Loss Visualization
Optional SL zones are plotted using:
โข Recent swing high / low
โข ATR-based buffer (configurable)
This helps traders visualize risk, not automate exits.
๐จ Visual System (Why It Looks Different)
โข Multi-layer glow effects โ momentum strength
โข Dynamic cloud โ fast vs trend dominance
โข Color-shifting fast line โ acceleration vs decay
โข Chart overlays โ execution clarity without clutter
Everything is designed for speed and readability during live trading.
โญ Unique Selling Points (USP)
โ
Multi-speed stochastic rotation (not single-line signals)
โ
Context-first, not signal spam
โ
Built-in divergence + continuation logic
โ
Non-repainting logic
โ
Designed for scalpers, not hindsight analysis
โ
Works across indices, options, crypto, and futures
โ ๏ธ Important Notes
โข Not a standalone trading system
โข Best combined with:
โ Market structure
โ Key levels
โ Session timing
โข Avoid low-liquidity or news-spike candles
This indicator guides execution, it does not replace discretion.
๐ค Who This Is For
โข Scalpers & intraday traders
โข Options traders needing precise timing
โข Traders who understand momentum & structure
โข Users who want fewer but higher-quality signals
๐ Summary
JK Scalp helps you trade momentum rotation, not overbought/oversold myths.
Wait for alignment. Execute with discipline.
Every Hour 1st/Last FVG vTDL OVERVIEW - Shoutout to Micheal J. Huddleston aka ICT
This indicator identifies the first Fair Value Gap (FVG) that forms within each trading hour, providing traders with potential entry zones, reversal points, and unmitigated gap targets. Based on the concept that the first presented FVG of each hour represents a significant price delivery array where institutional order flow occurred.
The indicator detects FVGs on a lower timeframe (1-minute default) and displays them as boxes on your chart, tracking which gaps get filled and which remain open as potential draw-on-liquidity targets.
WHAT IS A FAIR VALUE GAP
A Fair Value Gap is a 3-candle price pattern representing an imbalance between buyers and sellers:
Bullish FVG: Forms when candle 3's low is above candle 1's high, leaving a gap
Bearish FVG: Forms when candle 3's high is below candle 1's low, leaving a gap
These gaps often act as magnets for price, which tends to return and "fill" the imbalance before continuing. They function as dynamic support and resistance zones.
KEY FEATURES
Detection Types
FVG: Standard fair value gap detection with volume imbalance expansion
Suspension FVG Blocks: Requires outside prints on both sides for more refined signals
Hourly Display Modes
First Only: Shows whichever FVG appears first each hour (bullish or bearish)
Show Both: Shows first bullish AND first bearish FVG independently each hour
Last FVG Tracking
Optionally display the last FVG of each hour
Useful for comparing how the hour developed
Can extend into the next hour for continued tracking
Breakaway Gap Detection
Gaps not traded into during their formation hour extend forward
Extended gaps display labels showing formation time and date
These unmitigated gaps become price targets and reversal zones
Gap Fill Modes
Touch Box: Marks filled when price enters the gap
Touch Midpoint: Marks filled when price reaches the 50 percent level
Fill Completely: Marks filled when price fills the entire gap with visual progress
HOW TO USE
Entry Points
The first FVG of each hour provides potential entry zones based on price reaction:
When price returns to an FVG and shows rejection, enter in the direction of rejection
The gap zone represents where institutional orders likely reside
Use the boundaries of the gap for stop loss placement
A clean rejection of the zone confirms it as valid support or resistance
Reversal Points
Unmitigated gaps that extend beyond their formation hour are high-probability reaction zones:
Extended boxes with labels indicate unfilled gaps
When price finally reaches these zones, expect a reaction
The longer a gap remains unfilled, the stronger the expected response
These zones act as magnets drawing price back to them
Price Targets
Use unmitigated gaps as draw-on-liquidity targets:
Look for extended boxes above or below current price
Price tends to seek out and fill imbalances
The midpoint line often serves as a minimum target
Multiple unfilled gaps in one direction suggest strong momentum potential
FRAMING DIRECTIONAL BIAS
The first presented FVG of each hour acts as a support or resistance zone. The direction of the FVG itself does not determine bias - it is how price reacts to that FVG that reveals the true market intention.
Reading Price Reaction
Price respects a bullish FVG as support and bounces higher = bullish bias confirmed
Price respects a bearish FVG as resistance and rejects lower = bearish bias confirmed
Price fails to hold a bullish FVG and breaks through = potential inversion, look for shorts
Price fails to hold a bearish FVG and breaks through = potential inversion, look for longs
Inversion Fair Value Gaps (IFVG)
When price trades through an FVG and closes beyond it, that gap can invert its role:
A bullish FVG that fails becomes resistance - use it as a short entry zone
A bearish FVG that fails becomes support - use it as a long entry zone
The inversion signals a shift in control from one side to the other
Watch for price to retest the inverted gap before continuing
Support and Resistance Framework
Think of each hourly first FVG as a key level:
Price above the FVG: the gap acts as potential support
Price below the FVG: the gap acts as potential resistance
Watch how price behaves when it returns to the gap zone
A clean rejection confirms the level; a break through signals inversion
SHORT-TERM SCALPING APPLICATION
These FVGs provide scalping opportunities each hour:
Identify the first FVG of the hour as your key level
Wait for price to trade away from it and return
Observe the reaction at the gap zone
Enter in the direction of the reaction with tight risk
Target the next FVG, midpoint, or nearby liquidity
Trade Management
Use the opposite side of the FVG box as your stop loss zone
The midpoint of the gap often provides first target or decision point
Scale out at nearby unmitigated gaps or key levels
If the gap inverts, flip your bias and look for entries in the new direction
MULTI-HOUR CONTEXT
If price consistently respects FVGs as support across hours = uptrend context
If price consistently respects FVGs as resistance across hours = downtrend context
If FVGs keep inverting = choppy or transitional market
Use higher timeframe direction to filter which reactions to trade
Compare first and last FVG of each hour to see how momentum developed
SESSION FILTERING
The indicator automatically excludes unreliable periods:
4 PM to 5 PM New York time (market close hours 16-17)
Weekend closed periods (Saturday and Sunday before 6 PM)
All timestamps use New York timezone for consistency with futures market hours.
SETTINGS GUIDE
Detection Settings
Detection Type: Choose between standard FVG or Suspension FVG Blocks
Lower Timeframe: 15 seconds, 1 minute, or 5 minutes for gap detection
Min FVG Size: Minimum gap size in ticks to filter noise
Display Settings
Hourly Display Mode: First Only shows one gap per hour; Show Both shows first bull and bear
Show First FVG: Toggle visibility of first FVG boxes
Show Last FVG: Toggle visibility of last FVG boxes
Show Midpoint Lines: Display the 50 percent level of each gap
Show Unfilled Breakaway Gaps: Extend boxes until price fills them
Show Only Today: Reduce clutter by hiding older hourly boxes
Gap Fill Detection Mode
Touch Box: Gap marked filled when price enters the zone
Touch Midpoint: Gap marked filled when price reaches 50 percent level
Fill Completely: Gap marked filled only when fully closed, shows visual fill progress
Recommended Settings by Style
Scalping: 1 minute LTF, 4 tick minimum, Show Both mode, Touch Box fill
Day Trading: 1 minute LTF, 4-8 tick minimum, First Only mode, Touch Midpoint fill
Swing Context: 5 minute LTF, Show Unfilled Gaps enabled, Fill Completely mode
COLOR CODING
Blue boxes: First bullish FVG of the hour
Red boxes: First bearish FVG of the hour
Green boxes: Last bullish FVG of the hour
Orange boxes: Last bearish FVG of the hour
Black midpoint lines: 50 percent level of each gap
Filled portion overlay: Shows visual progress in Fill Completely mode
All colors are fully customizable in the settings menu.
PRACTICAL TIPS
The first FVG of each hour is a hidden PD array - treat it as a significant level
Not every gap produces a tradeable reaction - wait for confirmation
Gaps that remain unfilled for multiple hours carry more weight
Use the Show Both mode to see both bullish and bearish opportunities each hour
When multiple gaps cluster in one zone, that area becomes even more significant
Inversions are powerful signals - a failed level often leads to acceleration
NOTES
Works on any instrument and timeframe
Best used on intraday charts (1 minute to 15 minute) viewing 1 minute LTF gaps
Combine with higher timeframe analysis for confluence
These are probability zones, not guarantees - always use proper risk management
The indicator handles HTF to LTF data fetching automatically
Market Electromagnetic Field [The_lurker]Market Electromagnetic Field
An innovative analytical indicator that presents a completely new model for understanding market dynamics, inspired by the laws of electromagnetic physics โ but it's not a rhetorical metaphor, rather a complete mathematical system.
Unlike traditional indicators that focus on price or momentum, this indicator portrays the market as a closed physical system, where:
โก Candles = Electric charges (positive at bullish close, negative at bearish)
โก Buyers and Sellers = Two opposing poles where pressure accumulates
โก Market tension = Voltage difference between the poles
โก Price breakout = Electrical discharge after sufficient energy accumulation
โ Core Concept
Markets don't move randomly, but follow a clear physical cycle:
Accumulation โ Tension โ Discharge โ Stabilization โ New Accumulation
When charges accumulate (through strong candles with high volume) and exceed a certain "electrical capacitance" threshold, the indicator issues a "โก DISCHARGE IMMINENT" alert โ meaning a price explosion is imminent, giving the trader an opportunity to enter before the move begins.
โ Competitive Advantage
- Predictive forecasting (not confirmatory after the event)
- Smart multi-layer filtering reduces false signals
- Animated 3D visual representation makes reading price conditions instant and intuitive โ without need for number analysis
โ Theoretical Physical Foundation
The indicator doesn't use physical terms for decoration, but applies mathematical laws with precise market adjustments:
โก Coulomb's Law
Physics: F = k ร (qโ ร qโ) / rยฒ
Market: Field Intensity = 4 ร norm_positive ร norm_negative
Peaks at equilibrium (0.5 ร 0.5 ร 4 = 1.0), and decreases at dominance โ because conflict increases at parity.
โก Ohm's Law
Physics: V = I ร R
Market: Voltage = norm_positive โ norm_negative
Measures balance of power:
- +1 = Absolute buying dominance
- โ1 = Absolute selling dominance
- 0 = Balance
โก Capacitance
Physics: C = Q / V
Market: Capacitance = |Voltage| ร Field Intensity
Represents stored energy ready for discharge โ increases with bias combined with high interaction.
โก Electrical Discharge
Physics: Occurs when exceeding insulation threshold
Market: Discharge Probability = min(Capacitance / Discharge Threshold, 1.0)
When โฅ 0.9: "โก DISCHARGE IMMINENT"
๐ Key Note:
Maximum capacitance doesn't occur at absolute dominance (where field intensity = 0), nor at perfect balance (where voltage = 0), but at moderate bias (ยฑ30โ50%) with high interaction (field intensity > 25%) โ i.e., in moments of "pressure before breakout".
โ Detailed Calculation Mechanism
โก Phase 1: Candle Polarity
polarity = (close โ open) / (high โ low)
- +1.0: Complete bullish candle (Bullish Marubozu)
- โ1.0: Complete bearish candle (Bearish Marubozu)
- 0.0: Doji (no decision)
- Intermediate values: Represent the ratio of candle body to its range โ reducing the effect of long-shadow candles
โก Phase 2: Volume Weight
vol_weight = volume / SMA(volume, lookback)
A candle with 150% of average volume = 1.5x stronger charge
โก Phase 3: Adaptive Factor
adaptive_factor = ATR(lookback) / SMA(ATR, lookback ร 2)
- In volatile markets: Increases sensitivity
- In quiet markets: Reduces noise
- Always recommended to keep it enabled
โก Phase 4โ6: Charge Accumulation and Normalization
Charges are summed over lookback candles, then ratios are normalized:
norm_positive = positive_charge / total_charge
norm_negative = negative_charge / total_charge
So that: norm_positive + norm_negative = 1 โ for easier comparison
โก Phase 7: Field Calculations
voltage = norm_positive โ norm_negative
field_intensity = 4 ร norm_positive ร norm_negative ร field_sensitivity
capacitance = |voltage| ร field_intensity
discharge_prob = min(capacitance / discharge_threshold, 1.0)
โ Settings
โก Electromagnetic Model
Lookback Period
- Default: 20
- Range: 5โ100
- Recommendations:
- Scalping: 10โ15
- Day Trading: 20
- Swing: 30โ50
- Investing: 50โ100
Discharge Threshold
- Default: 0.7
- Range: 0.3โ0.95
- Recommendations:
- Speed + Noise: 0.5โ0.6
- Balance: 0.7
- High Accuracy: 0.8โ0.95
Field Sensitivity
- Default: 1.0
- Range: 0.5โ2.0
- Recommendations:
- Amplify Conflict: 1.2โ1.5
- Natural: 1.0
- Calm: 0.5โ0.8
Adaptive Mode
- Default: Enabled
- Always keep it enabled
๐ฌ Dynamic Filters
All enabled filters must pass for discharge signal to appear.
Volume Filter
- Condition: volume > SMA(volume) ร vol_multiplier
- Function: Excludes "weak" candles not supported by volume
- Recommendation: Enabled (especially for stocks and forex)
Volatility Filter
- Condition: STDEV > SMA(STDEV) ร 0.5
- Function: Ignores sideways stagnation periods
- Recommendation: Always enabled
Trend Filter
- Condition: Voltage alignment with fast/slow EMA
- Function: Reduces counter-trend signals
- Recommendation: Enabled for swing/investing only
Volume Threshold
- Default: 1.2
- Recommendations:
- 1.0โ1.2: High sensitivity
- 1.5โ2.0: Exclusive to high volume
๐จ Visual Settings
Settings improve visual reading experience โ don't affect calculations.
Scale Factor
- Default: 600
- Higher = Larger scene (200โ1200)
Horizontal Shift
- Default: 180
- Horizontal shift to the left โ to focus on last candle
Pole Size
- Default: 60
- Base sphere size (30โ120)
Field Lines
- Default: 8
- Number of field lines (4โ16) โ 8 is ideal balance
Colors
- Green/Red/Blue/Orange
- Fully customizable
โ Visual Representation: A Visual Language for Diagnosing Price Conditions
โจ Design Philosophy
The representation isn't "decoration", but a complete cognitive model โ each element carries information, and element interaction tells a complete story.
The brain perceives changes in size, color, and movement 60,000 times faster than reading numbers โ so you can "sense" the change before your eye finishes scanning.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ข Positive Pole (Green Sphere โ Left)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
What does it represent?
Active buying pressure accumulation โ not just an uptrend, but real demand force supported by volume and volatility.
โ Dynamic Size
Size = pole_size ร (0.7 + norm_positive ร 0.6)
- 70% of base size = No significant charge
- 130% of base size = Complete dominance
- The larger the sphere: Greater buyer dominance, higher probability of bullish continuation
Size Interpretation:
- Large sphere (>55%): Strong buying pressure โ Buyers dominate
- Medium sphere (45โ55%): Relative balance with buying bias
- Small sphere (<45%): Weak buying pressure โ Sellers dominate
โ Lighting and Transparency
- 20% transparency (when Bias = +1): Pole currently active โ Bullish direction
- 50% transparency (when Bias โ +1): Pole inactive โ Not the prevailing direction
Lighting = Current activity, while Size = Historical accumulation
โ Pulsing Inner Glow
A smaller sphere pulses automatically when Bias = +1:
inner_pulse = 0.4 + 0.1 ร sin(anim_time ร 3)
Symbolizes continuity of buy order flow โ not static dominance.
โ Orbital Rings
Two rings rotating at different speeds and directions:
- Inner: 1.3ร sphere size โ Direct influence range
- Outer: 1.6ร sphere size โ Extended influence range
Represent "influence zone" of buyers:
- Continuous rotation = Stability and momentum
- Slowdown = Momentum exhaustion
โ Percentage
Displayed below sphere: norm_positive ร 100
- >55% = Clear dominance
- 45โ55% = Balance
- <45% = Weakness
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ด Negative Pole (Red Sphere โ Right)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
What does it represent?
Active selling pressure accumulation โ whether cumulative selling (smart distribution) or panic selling (position liquidation).
โ Visual Dynamics
Same size, lighting, and inner glow mechanism โ but in red.
Key Difference:
- Rotation is reversed (counter-clockwise)
- Visually distinguishes "buy flow" from "sell flow"
- Allows reading direction at a glance โ even for colorblind users
๐ Pole Reading Summary:
๐ข Large + Bright green sphere = Active buying force
๐ด Large + Bright red sphere = Active selling force
๐ข๐ด Both large but dim = Energy accumulation (before discharge)
โช Both small = Stagnation / Low liquidity
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ต Field Lines (Curved Blue Lines)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
What do they represent?
Energy flow paths between poles โ the arena where price battle is fought.
โ Number of Lines
4โ16 lines (Default: 8)
More lines: Greater sense of "interaction density"
โ Arc Height
arc_h = (i โ half_lines) ร 15 ร field_intensity ร 2
- High field intensity = Highly elevated lines (like waves)
- Low intensity = Nearly straight lines
โ Oscillating Transparency
transp = 30 + phase ร 40
where phase = sin(anim_time ร 2 + i ร 0.5) ร 0.5 + 0.5
Creates illusion of "flowing current" โ not static lines
โ Asymmetric Curvature
- Upper lines curve upward
- Lower lines curve downward
- Adds 3D depth and shows "pressure" direction
โก Pro Tip:
When you see lines suddenly "contract" (straighten), while both spheres are large โ this is an early indicator of impending discharge, because the interaction is losing its flexibility.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โช Moving Particles
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
What do they represent?
Real liquidity flow in the market โ who's driving price right now.
โ Number and Movement
- 6 particles covering most field lines
- Move sinusoidally along the arc:
t = (sin(phase_val) + 1) / 2
- High speed = High trading activity
- Clustering at a pole = That side's control
โ Color Gradient
From green (at positive pole) to red (at negative)
Shows "energy transformation":
- Green particle = Pure buying energy
- Orange particle = Conflict zone
- Red particle = Pure selling energy
๐ How to Read Them?
- Moving left to right (๐ข โ ๐ด): Buy flow โ Bullish push
- Moving right to left (๐ด โ ๐ข): Sell flow โ Bearish push
- Clustered in middle: Balanced conflict โ Wait for breakout
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ Discharge Zone (Orange Glow โ Center)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
What does it represent?
Point of stored energy accumulation not yet discharged โ heart of the early warning system.
โ Glow Stages
Initial Warning (discharge_prob > 0.3):
- Dim orange circle (70% transparency)
- Meaning: Watch, don't enter yet
High Tension (discharge_prob โฅ 0.7):
- Stronger glow + "โ ๏ธ HIGH TENSION" text
- Meaning: Prepare โ Set pending orders
Imminent Discharge (discharge_prob โฅ 0.9):
- Bright glow + "โก DISCHARGE IMMINENT" text
- Meaning: Enter with direction (after candle confirmation)
โ Layered Glow Effect (Glow Layering)
3 concentric circles with increasing transparency:
- Inner: 20%
- Middle: 35%
- Outer: 50%
Result: Realistic aura resembling actual electrical discharge.
๐ Why in the Center?
Because discharge always starts from the relative balance zone โ where opposing pressures meet.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ Voltage Meter (Bottom of Scene)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
What does it represent?
Simplified numeric indicator of voltage difference โ for those who prefer numerical reading.
โ Components
- Gray bar: Full range (โ100% to +100%)
- Green fill: Positive voltage (extends right)
- Red fill: Negative voltage (extends left)
- Lightning symbol (โก): Above center โ reminder it's an "electrical gauge"
- Text value: Like "+23.4%" โ in direction color
โ Voltage Reading Interpretation
+50% to +100%:
Overwhelming buying dominance โ Beware of saturation, may precede correction
+20% to +50%:
Strong buying dominance โ Suitable for buying with trend
+5% to +20%:
Slight bullish bias โ Wait for additional confirmation
โ5% to +5%:
Balance/Neutral โ Avoid entry or wait for breakout
โ5% to โ20%:
Slight bearish bias โ Wait for confirmation
โ20% to โ50%:
Strong selling dominance โ Suitable for selling with trend
โ50% to โ100%:
Overwhelming selling dominance โ Beware of saturation, may precede bounce
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ Field Strength Indicator (Top of Scene)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
What it displays: "Field: XX.X%"
Meaning: Strength of conflict between buyers and sellers.
โ Reading Interpretation
0โ5%:
- Appearance: Nearly straight lines, transparent
- Meaning: Complete control by one side
- Strategy: Trend Following
5โ15%:
- Appearance: Slight curvature
- Meaning: Clear direction with light resistance
- Strategy: Enter with trend
15โ25%:
- Appearance: Medium curvature, clear lines
- Meaning: Balanced conflict
- Strategy: Range trading or waiting
25โ35%:
- Appearance: High curvature, clear density
- Meaning: Strong conflict, high uncertainty
- Strategy: Volatility trading or prepare for discharge
35%+:
- Appearance: Very high lines, strong glow
- Meaning: Peak tension
- Strategy: Best discharge opportunities
๐ Golden Relationship:
Highest discharge probability when:
Field Strength (25โ35%) + Voltage (ยฑ30โ50%) + High Volume
โ This is the "red zone" to monitor carefully.
โ Comprehensive Visual Reading
To read market condition at a glance, follow this sequence:
Step 1: Which sphere is larger?
- ๐ข Green larger โ Dominant buying pressure
- ๐ด Red larger โ Dominant selling pressure
- Equal โ Balance/Conflict
Step 2: Which sphere is bright?
- ๐ข Green bright โ Current bullish direction
- ๐ด Red bright โ Current bearish direction
- Both dim โ Neutral/No clear direction
Step 3: Is there orange glow?
- None โ Discharge probability <30%
- ๐ Dim glow โ Discharge probability 30โ70%
- ๐ Strong glow with text โ Discharge probability >70%
Step 4: What's the voltage meter reading?
- Strong positive โ Confirms buying dominance
- Strong negative โ Confirms selling dominance
- Near zero โ No clear direction
โ Practical Visual Reading Examples
Example 1: Ideal Buy Opportunity โก๐ข
- Green sphere: Large and bright with inner pulse
- Red sphere: Small and dim
- Orange glow: Strong with "DISCHARGE IMMINENT" text
- Voltage meter: +45%
- Field strength: 28%
Interpretation: Strong accumulated buying pressure, bullish explosion imminent
Example 2: Ideal Sell Opportunity โก๐ด
- Green sphere: Small and dim
- Red sphere: Large and bright with inner pulse
- Orange glow: Strong with "DISCHARGE IMMINENT" text
- Voltage meter: โ52%
- Field strength: 31%
Interpretation: Strong accumulated selling pressure, bearish explosion imminent
Example 3: Balance/Wait โ๏ธ
- Both spheres: Approximately equal in size
- Lighting: Both dim
- Orange glow: Strong
- Voltage meter: +3%
- Field strength: 24%
Interpretation: Strong conflict without clear winner, wait for breakout
Example 4: Clear Uptrend (No Discharge) ๐
- Green sphere: Large and bright
- Red sphere: Very small and dim
- Orange glow: None
- Voltage meter: +68%
- Field strength: 8%
Interpretation: Clear buying control, limited conflict, suitable for following bullish trend
Example 5: Potential Buying Saturation โ ๏ธ
- Green sphere: Very large and bright
- Red sphere: Very small
- Orange glow: Dim
- Voltage meter: +88%
- Field strength: 4%
Interpretation: Absolute buying dominance, may precede bearish correction
โ Trading Signals
โก DISCHARGE IMMINENT
Appearance Conditions:
- discharge_prob โฅ 0.9
- All enabled filters passed
- Confirmed (after candle close)
Interpretation:
- Very large energy accumulation
- Pressure reached critical level
- Price explosion expected within 1โ3 candles
How to Trade:
1. Determine voltage direction:
โข Positive = Expect rise
โข Negative = Expect fall
2. Wait for confirmation candle:
โข For rise: Bullish candle closing above its open
โข For fall: Bearish candle closing below its open
3. Entry: With next candle's open
4. Stop Loss: Behind last local low/high
5. Target: Risk/Reward ratio of at least 1:2
โ
Pro Tips:
- Best results when combined with support/resistance levels
- Avoid entry if voltage is near zero (ยฑ5%)
- Increase position size when field strength > 30%
โ ๏ธ HIGH TENSION
Appearance Conditions:
- 0.7 โค discharge_prob < 0.9
Interpretation:
- Market in energy accumulation state
- Likely strong move soon, but not immediate
- Accumulation may continue or discharge may occur
How to Benefit:
- Prepare: Set pending orders at potential breakouts
- Monitor: Watch following candles for momentum candle
- Select: Don't enter every signal โ choose those aligned with overall trend
โ Trading Strategies
๐ Strategy 1: Discharge Trading (Basic)
Principle: Enter at "DISCHARGE IMMINENT" in voltage direction
Steps:
1. Wait for "โก DISCHARGE IMMINENT"
2. Check voltage direction (+/โ)
3. Wait for confirmation candle in voltage direction
4. Enter with next candle's open
5. Stop loss behind last low/high
6. Target: 1:2 or 1:3 ratio
Very high success rate when following confirmation conditions.
๐ Strategy 2: Dominance Following
Principle: Trade with dominant pole (largest and brightest sphere)
Steps:
1. Identify dominant pole (largest and brightest)
2. Trade in its direction
3. Beware when sizes converge (conflict)
Suitable for higher timeframes (H1+).
๐ Strategy 3: Reversal Hunting
Principle: Counter-trend entry under certain conditions
Conditions:
- High field strength (>30%)
- Extreme voltage (>ยฑ40%)
- Divergence with price (e.g., new price high with declining voltage)
โ ๏ธ High risk โ Use small position size.
๐ Strategy 4: Integration with Technical Analysis
Strong Confirmation Examples:
- Resistance breakout + Bullish discharge = Excellent buy signal
- Support break + Bearish discharge = Excellent sell signal
- Head & Shoulders pattern + Increasing negative voltage = Pattern confirmation
- RSI divergence + High field strength = Potential reversal
โ Ready Alerts
Bullish Discharge
- Condition: discharge_prob โฅ 0.9 + Positive voltage + All filters
- Message: "โก Bullish discharge"
- Use: High probability buy opportunity
Bearish Discharge
- Condition: discharge_prob โฅ 0.9 + Negative voltage + All filters
- Message: "โก Bearish discharge"
- Use: High probability sell opportunity
โ
Tip: Use these alerts with "Once Per Bar" setting to avoid repetition.
โ Data Window Outputs
Bias
- Values: โ1 / 0 / +1
- Interpretation: โ1 = Bearish, 0 = Neutral, +1 = Bullish
- Use: For integration in automated strategies
Discharge %
- Range: 0โ100%
- Interpretation: Discharge probability
- Use: Monitor tension progression (e.g., from 40% to 85% in 5 candles)
Field Strength
- Range: 0โ100%
- Interpretation: Conflict intensity
- Use: Identify "opportunity window" (25โ35% ideal for discharge)
Voltage
- Range: โ100% to +100%
- Interpretation: Balance of power
- Use: Monitor extremes (potential buying/selling saturation)
โ Optimal Settings by Trading Style
Scalping
- Timeframe: 1Mโ5M
- Lookback: 10โ15
- Threshold: 0.5โ0.6
- Sensitivity: 1.2โ1.5
- Filters: Volume + Volatility
Day Trading
- Timeframe: 15Mโ1H
- Lookback: 20
- Threshold: 0.7
- Sensitivity: 1.0
- Filters: Volume + Volatility
Swing Trading
- Timeframe: 4HโD1
- Lookback: 30โ50
- Threshold: 0.8
- Sensitivity: 0.8
- Filters: Volatility + Trend
Position Trading
- Timeframe: D1โW1
- Lookback: 50โ100
- Threshold: 0.85โ0.95
- Sensitivity: 0.5โ0.8
- Filters: All filters
โ Tips for Optimal Use
1. Start with Default Settings
Try it first as is, then adjust to your style.
2. Watch for Element Alignment
Best signals when:
- Clear voltage (>โ20%โ)
- Moderateโhigh field strength (15โ35%)
- High discharge probability (>70%)
3. Use Multiple Timeframes
- Higher timeframe: Determine overall trend
- Lower timeframe: Time entry
- Ensure signal alignment between frames
4. Integrate with Other Tools
- Support/Resistance levels
- Trend lines
- Candle patterns
- Volume indicators
5. Respect Risk Management
- Don't risk more than 1โ2% of account
- Always use stop loss
- Don't enter every signal โ choose the best
โ Important Warnings
โ ๏ธ Not for Standalone Use
The indicator is an analytical support tool โ don't use it isolated from technical or fundamental analysis.
โ ๏ธ Doesn't Predict the Future
Calculations are based on historical data โ Results are not guaranteed.
โ ๏ธ Markets Differ
You may need to adjust settings for each market:
- Forex: Focus on Volume Filter
- Stocks: Add Trend Filter
- Crypto: Lower Threshold slightly (more volatile)
โ ๏ธ News and Events
The indicator doesn't account for sudden news โ Avoid trading before/during major news.
โ Unique Features
โ
First Application of Electromagnetism to Markets
Innovative mathematical model โ Not just an ordinary indicator
โ
Predictive Detection of Price Explosions
Alerts before the move happens โ Not after
โ
Multi-Layer Filtering
4 smart filters reduce false signals to minimum
โ
Smart Volatility Adaptation
Automatically adjusts sensitivity based on market conditions
โ
Animated 3D Visual Representation
Makes reading instant โ Even for beginners
โ
High Flexibility
Works on all assets: Stocks, Forex, Crypto, Commodities
โ
Built-in Ready Alerts
No complex setup needed โ Ready for immediate use
โ Conclusion: When Art Meets Science
Market Electromagnetic Field is not just an indicator โ but a new analytical philosophy.
It's the bridge between:
- Physics precision in describing dynamic systems
- Market intelligence in generating trading opportunities
- Visual psychology in facilitating instant reading
The result: A tool that isn't read โ but watched, felt, and sensed.
When you see the green sphere expanding, the glow intensifying, and particles rushing rightward โ you're not seeing numbers, you're seeing market energy breathing.
โ ๏ธ Disclaimer:
This indicator is for educational and analytical purposes only. It does not constitute financial, investment, or trading advice. Use it in conjunction with your own strategy and risk management. Neither TradingView nor the developer is liable for any financial decisions or losses.
ุงูู
ุฌุงู ุงูููุฑูู
ุบูุงุทูุณู ููุณูู - Market Electromagnetic Field
ู
ุคุดุฑ ุชุญูููู ู
ุจุชูุฑ ููุฏูู
ูู
ูุฐุฌูุง ุฌุฏูุฏูุง ูููููุง ูููู
ุฏููุงู
ูููุงุช ุงูุณููุ ู
ุณุชูุญู ู
ู ููุงููู ุงูููุฒูุงุก ุงูููุฑูู
ุบูุงุทูุณูุฉ โ ูููู ููุณ ุงุณุชุนุงุฑุฉ ุจูุงุบูุฉุ ุจู ูุธุงู
ุฑูุงุถู ู
ุชูุงู
ู.
ุนูู ุนูุณ ุงูู
ุคุดุฑุงุช ุงูุชูููุฏูุฉ ุงูุชู ุชูุฑููุฒ ุนูู ุงูุณุนุฑ ุฃู ุงูุฒุฎู
ุ ููุตููุฑ ูุฐุง ุงูู
ุคุดุฑ ุงูุณูู ูููุธุงู
ููุฒูุงุฆู ู
ุบููุ ุญูุซ:
โก ุงูุดู
ูุน = ุดุญูุงุช ููุฑุจุงุฆูุฉ (ู
ูุฌุจุฉ ุนูุฏ ุงูุฅุบูุงู ุงูุตุงุนุฏุ ุณุงูุจุฉ ุนูุฏ ุงููุงุจุท)
โก ุงูู
ุดุชุฑููู ูุงูุจุงุฆุนูู = ูุทุจุงู ู
ุชุนุงูุณุงู ูุชุฑุงูู
ูููู
ุง ุงูุถุบุท
โก ุงูุชูุชุฑ ุงูุณููู = ูุฑู ุฌูุฏ ุจูู ุงููุทุจูู
โก ุงูุงุฎุชุฑุงู ุงูุณุนุฑู = ุชูุฑูุบ ููุฑุจุงุฆู ุจุนุฏ ุชุฑุงูู
ุทุงูุฉ ูุงููุฉ
โ ุงูููุฑุฉ ุงูุฌููุฑูุฉ
ุงูุฃุณูุงู ูุง ุชุชุญุฑู ุนุดูุงุฆูููุงุ ุจู ุชุฎุถุน ูุฏูุฑุฉ ููุฒูุงุฆูุฉ ูุงุถุญุฉ:
ุชุฑุงูู
โ ุชูุชุฑ โ ุชูุฑูุบ โ ุงุณุชูุฑุงุฑ โ ุชุฑุงูู
ุฌุฏูุฏ
ุนูุฏู
ุง ุชุชุฑุงูู
ุงูุดุญูุงุช (ู
ู ุฎูุงู ุดู
ูุน ูููุฉ ุจุญุฌู
ู
ุฑุชูุน) ูุชุชุฌุงูุฒ "ุงูุณุนุฉ ุงูููุฑุจุงุฆูุฉ" ุนุชุจุฉ ู
ุนูููุฉุ ููุตุฏุฑ ุงูู
ุคุดุฑ ุชูุจูู "โก DISCHARGE IMMINENT" โ ุฃู ุฃู ุงููุฌุงุฑูุง ุณุนุฑูููุง ูุดูููุงุ ู
ู
ุง ูู
ูุญ ุงูู
ุชุฏุงูู ูุฑุตุฉ ุงูุฏุฎูู ูุจู ุจุฏุก ุงูุญุฑูุฉ.
โ ุงูู
ูุฒุฉ ุงูุชูุงูุณูุฉ
- ุชูุจุค ุงุณุชุจุงูู (ููุณ ุชุฃููุฏูููุง ุจุนุฏ ุงูุญุฏุซ)
- ููุชุฑุฉ ุฐููุฉ ู
ุชุนุฏุฏุฉ ุงูุทุจูุงุช ุชููู ุงูุฅุดุงุฑุงุช ุงููุงุฐุจุฉ
- ุชู
ุซูู ุจุตุฑู ุซูุงุซู ุงูุฃุจุนุงุฏ ู
ุชุญุฑู ูุฌุนู ูุฑุงุกุฉ ุงูุญุงูุฉ ุงูุณุนุฑูุฉ ููุฑูุฉ ูุจุฏูููุฉ โ ุฏูู ุญุงุฌุฉ ูุชุญููู ุฃุฑูุงู
โ ุงูุฃุณุงุณ ุงููุธุฑู ุงูููุฒูุงุฆู
ุงูู
ุคุดุฑ ูุง ูุณุชุฎุฏู
ู
ุตุทูุญุงุช ููุฒูุงุฆูุฉ ููุฒููุฉุ ุจู ููุทุจูู ุงูููุงููู ุงูุฑูุงุถูุฉ ู
ุน ุชุนุฏููุงุช ุณููููุฉ ุฏูููุฉ:
โก ูุงููู ููููู
(Coulomb's Law)
ุงูููุฒูุงุก: F = k ร (qโ ร qโ) / rยฒ
ุงูุณูู: ุดุฏุฉ ุงูุญูู = 4 ร norm_positive ร norm_negative
ุชุตู ูุฐุฑูุชูุง ุนูุฏ ุงูุชูุงุฒู (0.5 ร 0.5 ร 4 = 1.0)ุ ูุชูุฎูุถ ุนูุฏ ุงูููู
ูุฉ โ ูุฃู ุงูุตุฑุงุน ูุฒุฏุงุฏ ุนูุฏ ุงูุชูุงูุค.
โก ูุงููู ุฃูู
(Ohm's Law)
ุงูููุฒูุงุก: V = I ร R
ุงูุณูู: ุงูุฌูุฏ = norm_positive โ norm_negative
ูููุณ ู
ูุฒุงู ุงูููู:
- +1 = ููู
ูุฉ ุดุฑุงุฆูุฉ ู
ุทููุฉ
- โ1 = ููู
ูุฉ ุจูุนูุฉ ู
ุทููุฉ
- 0 = ุชูุงุฒู
โก ุงูุณุนุฉ ุงูููุฑุจุงุฆูุฉ (Capacitance)
ุงูููุฒูุงุก: C = Q / V
ุงูุณูู: ุงูุณุนุฉ = |ุงูุฌูุฏ| ร ุดุฏุฉ ุงูุญูู
ุชู
ุซูู ุงูุทุงูุฉ ุงูู
ุฎุฒููุฉ ุงููุงุจูุฉ ููุชูุฑูุบ โ ุชุฒุฏุงุฏ ุนูุฏ ูุฌูุฏ ุชุญููุฒ ู
ุน ุชูุงุนู ุนุงูู.
โก ุงูุชูุฑูุบ ุงูููุฑุจุงุฆู (Discharge)
ุงูููุฒูุงุก: ูุญุฏุซ ุนูุฏ ุชุฌุงูุฒ ุนุชุจุฉ ุงูุนุฒู
ุงูุณูู: ุงุญุชู
ุงู ุงูุชูุฑูุบ = min(ุงูุณุนุฉ / ุนุชุจุฉ ุงูุชูุฑูุบ, 1.0)
ุนูุฏู
ุง โฅ 0.9: "โก DISCHARGE IMMINENT"
๐ ู
ูุงุญุธุฉ ุฌููุฑูุฉ:
ุฃูุตู ุณุนุฉ ูุง ุชุญุฏุซ ุนูุฏ ุงูููู
ูุฉ ุงูู
ุทููุฉ (ุญูุซ ุดุฏุฉ ุงูุญูู = 0)ุ ููุง ุนูุฏ ุงูุชูุงุฒู ุงูุชุงู
(ุญูุซ ุงูุฌูุฏ = 0)ุ ุจู ุนูุฏ ุงูุญูุงุฒ ู
ุชูุณุท (ยฑ30โ50%) ู
ุน ุชูุงุนู ุนุงูู (ุดุฏุฉ ุญูู > 25%) โ ุฃู ูู ูุญุธุงุช "ุงูุถุบุท ูุจู ุงูุงุฎุชุฑุงู".
โ ุขููุฉ ุงูุญุณุงุจ ุงูุชูุตูููุฉ
โก ุงูู
ุฑุญูุฉ 1: ูุทุจูุฉ ุงูุดู
ุนุฉ
polarity = (close โ open) / (high โ low)
- +1.0: ุดู
ุนุฉ ุตุงุนุฏุฉ ูุงู
ูุฉ (ู
ุงุฑูุจูุฒู ุตุงุนุฏ)
- โ1.0: ุดู
ุนุฉ ูุงุจุทุฉ ูุงู
ูุฉ (ู
ุงุฑูุจูุฒู ูุงุจุท)
- 0.0: ุฏูุฌู (ูุง ูุฑุงุฑ)
- ุงูููู
ุงููุณูุทุฉ: ุชู
ุซูู ูุณุจุฉ ุฌุณู
ุงูุดู
ุนุฉ ุฅูู ู
ุฏุงูุง โ ู
ู
ุง ููููู ุชุฃุซูุฑ ุงูุดู
ูุน ุฐุงุช ุงูุธูุงู ุงูุทูููุฉ
โก ุงูู
ุฑุญูุฉ 2: ูุฒู ุงูุญุฌู
vol_weight = volume / SMA(volume, lookback)
ุดู
ุนุฉ ุจุญุฌู
150% ู
ู ุงูู
ุชูุณุท = ุดุญูุฉ ุฃููู ุจู 1.5 ู
ุฑุฉ
โก ุงูู
ุฑุญูุฉ 3: ู
ุนุงู
ู ุงูุชููู (Adaptive Factor)
adaptive_factor = ATR(lookback) / SMA(ATR, lookback ร 2)
- ูู ุงูุฃุณูุงู ุงูู
ุชููุจุฉ: ูุฒูุฏ ุงูุญุณุงุณูุฉ
- ูู ุงูุฃุณูุงู ุงููุงุฏุฆุฉ: ูููู ุงูุถูุถุงุก
- ููุตู ุฏุงุฆู
ูุง ุจุชุฑูู ู
ูุนูููุง
โก ุงูู
ุฑุญูุฉ 4โ6: ุชุฑุงูู
ูุชูุญูุฏ ุงูุดุญูุงุช
ุชูุฌู
ูุน ุงูุดุญูุงุช ุนูู lookback ุดู
ุนุฉุ ุซู
ุชููุญูุฏ ุงููุณุจ:
norm_positive = positive_charge / total_charge
norm_negative = negative_charge / total_charge
ุจุญูุซ: norm_positive + norm_negative = 1 โ ูุชุณููู ุงูู
ูุงุฑูุฉ
โก ุงูู
ุฑุญูุฉ 7: ุญุณุงุจุงุช ุงูุญูู
voltage = norm_positive โ norm_negative
field_intensity = 4 ร norm_positive ร norm_negative ร field_sensitivity
capacitance = |voltage| ร field_intensity
discharge_prob = min(capacitance / discharge_threshold, 1.0)
โ ุงูุฅุนุฏุงุฏุงุช
โก Electromagnetic Model
Lookback Period
- ุงูุงูุชุฑุงุถู: 20
- ุงููุทุงู: 5โ100
- ุงูุชูุตูุงุช:
- ุงูู
ุถุงุฑุจุฉ: 10โ15
- ุงูููู
ู: 20
- ุงูุณูููุบ: 30โ50
- ุงูุงุณุชุซู
ุงุฑ: 50โ100
Discharge Threshold
- ุงูุงูุชุฑุงุถู: 0.7
- ุงููุทุงู: 0.3โ0.95
- ุงูุชูุตูุงุช:
- ุณุฑุนุฉ + ุถูุถุงุก: 0.5โ0.6
- ุชูุงุฒู: 0.7
- ุฏูุฉ ุนุงููุฉ: 0.8โ0.95
Field Sensitivity
- ุงูุงูุชุฑุงุถู: 1.0
- ุงููุทุงู: 0.5โ2.0
- ุงูุชูุตูุงุช:
- ุชุถุฎูู
ุงูุตุฑุงุน: 1.2โ1.5
- ุทุจูุนู: 1.0
- ุชูุฏุฆุฉ: 0.5โ0.8
Adaptive Mode
- ุงูุงูุชุฑุงุถู: ู
ูุนูู
- ุฃุจููู ุฏุงุฆู
ูุง ู
ูุนูููุง
๐ฌ Dynamic Filters
ูุฌุจ ุงุฌุชูุงุฒ ุฌู
ูุน ุงูููุงุชุฑ ุงูู
ูุนููุฉ ูุธููุฑ ุฅุดุงุฑุฉ ุงูุชูุฑูุบ.
Volume Filter
- ุงูุดุฑุท: volume > SMA(volume) ร vol_multiplier
- ุงููุธููุฉ: ูุณุชุจุนุฏ ุงูุดู
ูุน "ุงูุถุนููุฉ" ุบูุฑ ุงูู
ุฏุนูู
ุฉ ุจุญุฌู
- ุงูุชูุตูุฉ: ู
ูุนูู (ุฎุงุตุฉ ููุฃุณูู
ูุงูุนู
ูุงุช)
Volatility Filter
- ุงูุดุฑุท: STDEV > SMA(STDEV) ร 0.5
- ุงููุธููุฉ: ูุชุฌุงูู ูุชุฑุงุช ุงูุฑููุฏ ุงูุฌุงูุจู
- ุงูุชูุตูุฉ: ู
ูุนูู ุฏุงุฆู
ูุง
Trend Filter
- ุงูุดุฑุท: ุชูุงูู ุงูุฌูุฏ ู
ุน EMA ุณุฑูุน/ุจุทูุก
- ุงููุธููุฉ: ูููู ุงูุฅุดุงุฑุงุช ุงูู
ุนุงูุณุฉ ููุงุชุฌุงู ุงูุนุงู
- ุงูุชูุตูุฉ: ู
ูุนูู ููุณูููุบ/ุงูุงุณุชุซู
ุงุฑ ููุท
Volume Threshold
- ุงูุงูุชุฑุงุถู: 1.2
- ุงูุชูุตูุงุช:
- 1.0โ1.2: ุญุณุงุณูุฉ ุนุงููุฉ
- 1.5โ2.0: ุญุตุฑูุฉ ููุญุฌู
ุงูุนุงูู
๐จ Visual Settings
ุงูุฅุนุฏุงุฏุงุช ุชูุญุณูู ุชุฌุฑุจุฉ ุงููุฑุงุกุฉ ุงูุจุตุฑูุฉ โ ูุง ุชุคุซุฑ ุนูู ุงูุญุณุงุจุงุช.
Scale Factor
- ุงูุงูุชุฑุงุถู: 600
- ููู
ุง ุฒุงุฏ: ุงูู
ุดูุฏ ุฃูุจุฑ (200โ1200)
Horizontal Shift
- ุงูุงูุชุฑุงุถู: 180
- ุฅุฒุงุญุฉ ุฃููููุฉ ูููุณุงุฑ โ ููุฑููุฒ ุนูู ุขุฎุฑ ุดู
ุนุฉ
Pole Size
- ุงูุงูุชุฑุงุถู: 60
- ุญุฌู
ุงููุฑุงุช ุงูุฃุณุงุณูุฉ (30โ120)
Field Lines
- ุงูุงูุชุฑุงุถู: 8
- ุนุฏุฏ ุฎุทูุท ุงูุญูู (4โ16) โ 8 ุชูุงุฒู ู
ุซุงูู
ุงูุฃููุงู
- ุฃุฎุถุฑ/ุฃุญู
ุฑ/ุฃุฒุฑู/ุจุฑุชูุงูู
- ูุงุจูุฉ ููุชุฎุตูุต ุจุงููุงู
ู
โ ุงูุชู
ุซูู ุงูุจุตุฑู: ูุบุฉ ุจุตุฑูุฉ ูุชุดุฎูุต ุงูุญุงูุฉ ุงูุณุนุฑูุฉ
โจ ุงูููุณูุฉ ุงูุชุตู
ูู
ูุฉ
ุงูุชู
ุซูู ููุณ "ุฒููุฉ"ุ ุจู ูู
ูุฐุฌ ู
ุนุฑูู ู
ุชูุงู
ู โ ูู ุนูุตุฑ ูุญู
ู ู
ุนููู
ุฉุ ูุชูุงุนู ุงูุนูุงุตุฑ ูุฑูู ูุตุฉ ูุงู
ูุฉ.
ุงูุนูู ูุฏุฑู ุงูุชุบููุฑ ูู ุงูุญุฌู
ุ ุงููููุ ูุงูุญุฑูุฉ ุฃุณุฑุน ุจู 60,000 ู
ุฑุฉ ู
ู ูุฑุงุกุฉ ุงูุฃุฑูุงู
โ ูุฐุง ูู
ููู "ุงูุฅุญุณุงุณ" ุจุงูุชุบูุฑ ูุจู ุฃู ุชูููู ุงูุนูู ุงูู
ุณุญ.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ข ุงููุทุจ ุงูู
ูุฌุจ (ุงููุฑุฉ ุงูุฎุถุฑุงุก โ ูุณุงุฑ)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
ู
ุงุฐุง ูู
ุซููุ
ุชุฑุงูู
ุถุบุท ุงูุดุฑุงุก ุงููุดุท โ ููุณ ู
ุฌุฑุฏ ุงุชุฌุงู ุตุงุนุฏุ ุจู ููุฉ ุทูุจ ุญููููุฉ ู
ุฏุนูู
ุฉ ุจุญุฌู
ูุชูููุจ.
โ ุงูุญุฌู
ุงูู
ุชุบูุฑ
ุญุฌู
= pole_size ร (0.7 + norm_positive ร 0.6)
- 70% ู
ู ุงูุญุฌู
ุงูุฃุณุงุณู = ูุง ุดุญูุฉ ุชูุฐูุฑ
- 130% ู
ู ุงูุญุฌู
ุงูุฃุณุงุณู = ููู
ูุฉ ุชุงู
ุฉ
- ููู
ุง ูุจุฑุช ุงููุฑุฉ: ุฒุงุฏ ุชูููู ุงูู
ุดุชุฑููุ ูุงุฑุชูุน ุงุญุชู
ุงู ุงูุงุณุชู
ุฑุงุฑ ุงูุตุนูุฏู
ุชูุณูุฑ ุงูุญุฌู
:
- ูุฑุฉ ูุจูุฑุฉ (>55%): ุถุบุท ุดุฑุงุก ููู โ ุงูู
ุดุชุฑูู ูุณูุทุฑูู
- ูุฑุฉ ู
ุชูุณุทุฉ (45โ55%): ุชูุงุฒู ูุณุจู ู
ุน ู
ูู ููุดุฑุงุก
- ูุฑุฉ ุตุบูุฑุฉ (<45%): ุถุนู ุถุบุท ุงูุดุฑุงุก โ ุงูุจุงุฆุนูู ูุณูุทุฑูู
โ ุงูุฅุถุงุกุฉ ูุงูุดูุงููุฉ
- ุดูุงููุฉ 20% (ุนูุฏ Bias = +1): ุงููุทุจ ูุดุท ุญุงููุงู โ ุงูุงุชุฌุงู ุตุนูุฏู
- ุดูุงููุฉ 50% (ุนูุฏ Bias โ +1): ุงููุทุจ ุบูุฑ ูุดุท โ ููุณ ุงูุงุชุฌุงู ุงูุณุงุฆุฏ
ุงูุฅุถุงุกุฉ = ุงููุดุงุท ุงูุญุงููุ ุจููู
ุง ุงูุญุฌู
= ุงูุชุฑุงูู
ุงูุชุงุฑูุฎู
โ ุงูุชููุฌ ุงูุฏุงุฎูู ุงููุงุจุถ
ูุฑุฉ ุฃุตุบุฑ ุชูุจุถ ุชููุงุฆูููุง ุนูุฏ Bias = +1:
inner_pulse = 0.4 + 0.1 ร sin(anim_time ร 3)
ูุฑู
ุฒ ุฅูู ุงุณุชู
ุฑุงุฑูุฉ ุชุฏูู ุฃูุงู
ุฑ ุงูุดุฑุงุก โ ูููุณ ููู
ูุฉ ุฌุงู
ุฏุฉ.
โ ุงูุญููุงุช ุงูู
ุฏุงุฑูุฉ
ุญููุชุงู ุชุฏูุฑุงู ุจุณุฑุนุงุช ูุงุชุฌุงูุงุช ู
ุฎุชููุฉ:
- ุงูุฏุงุฎููุฉ: 1.3ร ุญุฌู
ุงููุฑุฉ โ ูุทุงู ุงูุชุฃุซูุฑ ุงูู
ุจุงุดุฑ
- ุงูุฎุงุฑุฌูุฉ: 1.6ร ุญุฌู
ุงููุฑุฉ โ ูุทุงู ุงูุชุฃุซูุฑ ุงูู
ู
ุชุฏ
ุชู
ุซูู "ูุทุงู ุชุฃุซูุฑ" ุงูู
ุดุชุฑูู:
- ุงูุฏูุฑุงู ุงูู
ุณุชู
ุฑ = ุงุณุชูุฑุงุฑ ูุฒุฎู
- ุงูุชุจุงุทุค = ููุงุฏ ุงูุฒุฎู
โ ุงููุณุจุฉ ุงูู
ุฆููุฉ
ุชุธูุฑ ุชุญุช ุงููุฑุฉ: norm_positive ร 100
- >55% = ููู
ูุฉ ูุงุถุญุฉ
- 45โ55% = ุชูุงุฒู
- <45% = ุถุนู
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ด ุงููุทุจ ุงูุณุงูุจ (ุงููุฑุฉ ุงูุญู
ุฑุงุก โ ูู
ูู)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
ู
ุงุฐุง ูู
ุซููุ
ุชุฑุงูู
ุถุบุท ุงูุจูุน ุงููุดุท โ ุณูุงุก ูุงู ุจูุนูุง ุชุฑุงูู
ูููุง (ุงูุชูุฒูุน ุงูุฐูู) ุฃู ุจูุนูุง ูุณุชูุฑูููุง (ุชุตููุฉ ู
ุฑุงูุฒ).
โ ุงูุฏููุงู
ูููุงุช ุงูุจุตุฑูุฉ
ููุณ ุขููุฉ ุงูุญุฌู
ูุงูุฅุถุงุกุฉ ูุงูุชููุฌ ุงูุฏุงุฎูู โ ููู ุจุงูููู ุงูุฃุญู
ุฑ.
ุงููุฑู ุงูุฌููุฑู:
- ุงูุฏูุฑุงู ู
ุนููุณ (ุนูุณ ุงุชุฌุงู ุนูุงุฑุจ ุงูุณุงุนุฉ)
- ููู
ููุฒ ุจุตุฑูููุง ุจูู "ุชุฏูู ุงูุดุฑุงุก" ู"ุชุฏูู ุงูุจูุน"
- ูุณู
ุญ ุจูุฑุงุกุฉ ุงูุงุชุฌุงู ุจูุธุฑุฉ ูุงุญุฏุฉ โ ุญุชู ููู
ุตุงุจูู ุจุนูู
ูู ุงูุฃููุงู
๐ ู
ูุฎุต ูุฑุงุกุฉ ุงููุทุจูู:
๐ข ูุฑุฉ ุฎุถุฑุงุก ูุจูุฑุฉ + ู
ุถูุฆุฉ = ููุฉ ุดุฑุงุฆูุฉ ูุดุทุฉ
๐ด ูุฑุฉ ุญู
ุฑุงุก ูุจูุฑุฉ + ู
ุถูุฆุฉ = ููุฉ ุจูุนูุฉ ูุดุทุฉ
๐ข๐ด ูุฑุชุงู ูุจูุฑุชุงู ููู ุฎุงูุชุชุงู = ุชุฑุงูู
ุทุงูุฉ (ูุจู ุงูุชูุฑูุบ)
โช ูุฑุชุงู ุตุบูุฑุชุงู = ุฑููุฏ / ุณูููุฉ ู
ูุฎูุถุฉ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ต ุฎุทูุท ุงูุญูู (ุงูุฎุทูุท ุงูุฒุฑูุงุก ุงูู
ูุญููุฉ)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
ู
ุงุฐุง ุชู
ุซููุ
ู
ุณุงุฑุงุช ุชุฏูู ุงูุทุงูุฉ ุจูู ุงููุทุจูู โ ุฃู ุงูุณุงุญุฉ ุงูุชู ุชูุฏุงุฑ ูููุง ุงูู
ุนุฑูุฉ ุงูุณุนุฑูุฉ.
โ ุนุฏุฏ ุงูุฎุทูุท
4โ16 ุฎุท (ุงูุงูุชุฑุงุถู: 8)
ููู
ุง ุฒุงุฏ ุงูุนุฏุฏ: ุฒุงุฏ ุฅุญุณุงุณ "ูุซุงูุฉ ุงูุชูุงุนู"
โ ุงุฑุชูุงุน ุงูููุณ
arc_h = (i โ half_lines) ร 15 ร field_intensity ร 2
- ุดุฏุฉ ุญูู ุนุงููุฉ = ุฎุทูุท ุดุฏูุฏุฉ ุงูุงุฑุชูุงุน (ู
ุซู ู
ูุฌุฉ)
- ุดุฏุฉ ู
ูุฎูุถุฉ = ุฎุทูุท ุดุจู ู
ุณุชููู
ุฉ
โ ุงูุดูุงููุฉ ุงูู
ุชุฐุจุฐุจุฉ
transp = 30 + phase ร 40
ุญูุซ phase = sin(anim_time ร 2 + i ร 0.5) ร 0.5 + 0.5
ุชุฎูู ููู
"ุชููุงุฑ ู
ุชุฏููู" โ ูููุณ ุฎุทูุทูุง ุซุงุจุชุฉ
โ ุงูุงูุญูุงุก ุบูุฑ ุงูู
ุชูุงุธุฑ
- ุงูุฎุทูุท ุงูุนูููุฉ ุชูุญูู ูุฃุนูู
- ุงูุฎุทูุท ุงูุณูููุฉ ุชูุญูู ูุฃุณูู
- ููุถูู ุนู
ููุง ุซูุงุซู ุงูุฃุจุนุงุฏ ูููุธูุฑ ุงุชุฌุงู "ุงูุถุบุท"
โก ุชูู
ูุญ ุงุญุชุฑุงูู:
ุนูุฏู
ุง ุชุฑู ุงูุฎุทูุท "ุชุชูููุต" ูุฌุฃุฉ (ุชุณุชููู
)ุ ุจููู
ุง ุงููุฑุชุงู ูุจูุฑุชุงู โ ููุฐุง ู
ุคุดุฑ ู
ุจูุฑ ุนูู ูุฑุจ ุงูุชูุฑูุบุ ูุฃู ุงูุชูุงุนู ุจุฏุฃ ูููุฏ ู
ุฑููุชู.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โช ุงูุฌุฒูุฆุงุช ุงูู
ุชุญุฑูุฉ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
ู
ุงุฐุง ุชู
ุซููุ
ุชุฏูู ุงูุณูููุฉ ุงูุญููููุฉ ูู ุงูุณูู โ ุฃู ู
ู ูุฏูุน ุงูุณุนุฑ ุงูุขู.
โ ุงูุนุฏุฏ ูุงูุญุฑูุฉ
- 6 ุฌุฒูุฆุงุช ุชุบุทู ู
ุนุธู
ุฎุทูุท ุงูุญูู
- ุชุชุญุฑู ุฌูุจูููุง ุนูู ุทูู ุงูููุณ:
t = (sin(phase_val) + 1) / 2
- ุณุฑุนุฉ ุนุงููุฉ = ูุดุงุท ุชุฏุงูู ุนุงูู
- ุชุฌู
ูุน ุนูุฏ ูุทุจ = ุณูุทุฑุฉ ูุฐุง ุงูุทุฑู
โ ุชุฏุฑุฌ ุงูููู
ู
ู ุฃุฎุถุฑ (ุนูุฏ ุงููุทุจ ุงูู
ูุฌุจ) ุฅูู ุฃุญู
ุฑ (ุนูุฏ ุงูุณุงูุจ)
ููุธูุฑ "ุชุญููู ุงูุทุงูุฉ":
- ุฌุฒูุก ุฃุฎุถุฑ = ุทุงูุฉ ุดุฑุงุฆูุฉ ูููุฉ
- ุฌุฒูุก ุจุฑุชูุงูู = ู
ูุทูุฉ ุตุฑุงุน
- ุฌุฒูุก ุฃุญู
ุฑ = ุทุงูุฉ ุจูุนูุฉ ูููุฉ
๐ ููู ุชูุฑุฃูุงุ
- ุชุญุฑูุช ู
ู ุงููุณุงุฑ ูููู
ูู (๐ข โ ๐ด): ุชุฏูู ุดุฑุงุฆู โ ุฏูุน ุตุนูุฏู
- ุชุญุฑูุช ู
ู ุงููู
ูู ูููุณุงุฑ (๐ด โ ๐ข): ุชุฏูู ุจูุนู โ ุฏูุน ูุจูุทู
- ุชุฌู
ูุนุช ูู ุงูู
ูุชุตู: ุตุฑุงุน ู
ุชูุงูุฆ โ ุงูุชุธุฑ ุงุฎุชุฑุงููุง
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ ู
ูุทูุฉ ุงูุชูุฑูุบ (ุงูุชููุฌ ุงูุจุฑุชูุงูู โ ุงูู
ุฑูุฒ)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
ู
ุงุฐุง ุชู
ุซููุ
ููุทุฉ ุชุฑุงูู
ุงูุทุงูุฉ ุงูู
ุฎุฒููุฉ ุงูุชู ูู
ุชููุฑูุบ ุจุนุฏ โ ููุจ ูุธุงู
ุงูุฅูุฐุงุฑ ุงูู
ุจูุฑ.
โ ู
ุฑุงุญู ุงูุชููุฌ
ุฅูุฐุงุฑ ุฃููู (discharge_prob > 0.3):
- ุฏุงุฆุฑุฉ ุจุฑุชูุงููุฉ ุฎุงูุชุฉ (ุดูุงููุฉ 70%)
- ุงูู
ุนูู: ุฑุงูุจุ ูุง ุชุฏุฎู ุจุนุฏ
ุชูุชุฑ ุนุงูู (discharge_prob โฅ 0.7):
- ุชููุฌ ุฃููู + ูุต "โ ๏ธ HIGH TENSION"
- ุงูู
ุนูู: ุงุณุชุนุฏ โ ุถุน ุฃูุงู
ุฑ ู
ุนููุฉ
ุชูุฑูุบ ูุดูู (discharge_prob โฅ 0.9):
- ุชููุฌ ุณุงุทุน + ูุต "โก DISCHARGE IMMINENT"
- ุงูู
ุนูู: ุงุฏุฎู ู
ุน ุงูุงุชุฌุงู (ุจุนุฏ ุชุฃููุฏ ุดู
ุนุฉ)
โ ุชุฃุซูุฑ ุงูุชููุฌ ุงูุทุจูู (Glow Layering)
3 ุฏูุงุฆุฑ ู
ุชุญุฏุฉ ุงูู
ุฑูุฒ ุจุดูุงููุฉ ู
ุชุฒุงูุฏุฉ:
- ุฏุงุฎูู: 20%
- ูุณุท: 35%
- ุฎุงุฑุฌู: 50%
ุงููุชูุฌุฉ: ูุงูุฉ (Aura) ูุงูุนูุฉ ุชุดุจู ุงูุชูุฑูุบ ุงูููุฑุจุงุฆู ุงูุญูููู.
๐ ูู
ุงุฐุง ูู ุงูู
ุฑูุฒุ
ูุฃู ุงูุชูุฑูุบ ูุจุฏุฃ ุฏุงุฆู
ูุง ู
ู ู
ูุทูุฉ ุงูุชูุงุฒู ุงููุณุจู โ ุญูุซ ููุชูู ุงูุถุบุทุงู ุงูู
ุชุนุงูุณุงู.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ ู
ููุงุณ ุงูุฌูุฏ (ุฃุณูู ุงูู
ุดูุฏ)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
ู
ุงุฐุง ูู
ุซููุ
ู
ุคุดุฑ ุฑูู
ู ู
ุจุณูุท ููุฑู ุงูุฌูุฏ โ ูู
ู ููุถูู ุงููุฑุงุกุฉ ุงูุนุฏุฏูุฉ.
โ ุงูู
ูููุงุช
- ุงูุดุฑูุท ุงูุฑู
ุงุฏู: ุงููุทุงู ุงููุงู
ู (โ100% ุฅูู +100%)
- ุงูุชุนุจุฆุฉ ุงูุฎุถุฑุงุก: ุฌูุฏ ู
ูุฌุจ (ุชู
ุชุฏ ูููู
ูู)
- ุงูุชุนุจุฆุฉ ุงูุญู
ุฑุงุก: ุฌูุฏ ุณุงูุจ (ุชู
ุชุฏ ูููุณุงุฑ)
- ุฑู
ุฒ ุงูุจุฑู (โก): ููู ุงูู
ุฑูุฒ โ ุชุฐููุฑ ุจุฃูู "ู
ููุงุณ ููุฑุจุงุฆู"
- ุงูููู
ุฉ ุงููุตูุฉ: ู
ุซู "+23.4%" โ ุจููู ุงูุงุชุฌุงู
โ ุชูุณูุฑ ูุฑุงุกุงุช ุงูุฌูุฏ
+50% ุฅูู +100%:
ููู
ูุฉ ุดุฑุงุฆูุฉ ุณุงุญูุฉ โ ุงุญุฐุฑ ุงูุชุดุจุนุ ูุฏ ูุณุจู ุชุตุญูุญ
+20% ุฅูู +50%:
ููู
ูุฉ ุดุฑุงุฆูุฉ ูููุฉ โ ู
ูุงุณุจ ููุดุฑุงุก ู
ุน ุงูุงุชุฌุงู
+5% ุฅูู +20%:
ู
ูู ุตุนูุฏู ุฎููู โ ุงูุชุธุฑ ุชุฃููุฏูุง ุฅุถุงููููุง
โ5% ุฅูู +5%:
ุชูุงุฒู/ุญูุงุฏ โ ุชุฌููุจ ุงูุฏุฎูู ุฃู ุงูุชุธุฑ ุงุฎุชุฑุงููุง
โ5% ุฅูู โ20%:
ู
ูู ูุจูุทู ุฎููู โ ุงูุชุธุฑ ุชุฃููุฏูุง
โ20% ุฅูู โ50%:
ููู
ูุฉ ุจูุนูุฉ ูููุฉ โ ู
ูุงุณุจ ููุจูุน ู
ุน ุงูุงุชุฌุงู
โ50% ุฅูู โ100%:
ููู
ูุฉ ุจูุนูุฉ ุณุงุญูุฉ โ ุงุญุฐุฑ ุงูุชุดุจุนุ ูุฏ ูุณุจู ุงุฑุชุฏุงุฏ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ ู
ุคุดุฑ ุดุฏุฉ ุงูุญูู (ุฃุนูู ุงูู
ุดูุฏ)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
ู
ุง ูุนุฑุถู: "Field: XX.X%"
ุงูุฏูุงูุฉ: ููุฉ ุงูุตุฑุงุน ุจูู ุงูู
ุดุชุฑูู ูุงูุจุงุฆุนูู.
โ ุชูุณูุฑ ุงููุฑุงุกุงุช
0โ5%:
- ุงูู
ุธูุฑ: ุฎุทูุท ู
ุณุชููู
ุฉ ุชูุฑูุจูุงุ ุดูุงูุฉ
- ุงูู
ุนูู: ุณูุทุฑุฉ ุชุงู
ุฉ ูุฃุญุฏ ุงูุทุฑููู
- ุงูุงุณุชุฑุงุชูุฌูุฉ: ุชุชุจุน ุงูุชุฑูุฏ (Trend Following)
5โ15%:
- ุงูู
ุธูุฑ: ุงูุญูุงุก ุฎููู
- ุงูู
ุนูู: ุงุชุฌุงู ูุงุถุญ ู
ุน ู
ูุงูู
ุฉ ุฎูููุฉ
- ุงูุงุณุชุฑุงุชูุฌูุฉ: ุงูุฏุฎูู ู
ุน ุงูุงุชุฌุงู
15โ25%:
- ุงูู
ุธูุฑ: ุงูุญูุงุก ู
ุชูุณุทุ ุฎุทูุท ูุงุถุญุฉ
- ุงูู
ุนูู: ุตุฑุงุน ู
ุชูุงุฒู
- ุงูุงุณุชุฑุงุชูุฌูุฉ: ุชุฏุงูู ุงููุทุงู ุฃู ุงูุงูุชุธุงุฑ
25โ35%:
- ุงูู
ุธูุฑ: ุงูุญูุงุก ุนุงููุ ูุซุงูุฉ ูุงุถุญุฉ
- ุงูู
ุนูู: ุตุฑุงุน ูููุ ุนุฏู
ูููู ุนุงูู
- ุงูุงุณุชุฑุงุชูุฌูุฉ: ุชุฏุงูู ุงูุชูููุจ ุฃู ุงูุงุณุชุนุฏุงุฏ ููุชูุฑูุบ
35%+:
- ุงูู
ุธูุฑ: ุฎุทูุท ุนุงููุฉ ุฌุฏููุงุ ุชููุฌ ููู
- ุงูู
ุนูู: ุฐุฑูุฉ ุงูุชูุชุฑ
- ุงูุงุณุชุฑุงุชูุฌูุฉ: ุฃูุถู ูุฑุต ุงูุชูุฑูุบ
๐ ุงูุนูุงูุฉ ุงูุฐูุจูุฉ:
ุฃุนูู ุงุญุชู
ุงู ุชูุฑูุบ ุนูุฏู
ุง:
ุดุฏุฉ ุงูุญูู (25โ35%) + ุฌูุฏ (ยฑ30โ50%) + ุญุฌู
ู
ุฑุชูุน
โ ูุฐู ูู "ุงูู
ูุทูุฉ ุงูุญู
ุฑุงุก" ุงูุชู ูุฌุจ ู
ุฑุงูุจุชูุง ุจุฏูุฉ.
โ ูุฑุงุกุฉ ุงูุชู
ุซูู ุงูุจุตุฑู ุงูุดุงู
ูุฉ
ููุฑุงุกุฉ ุญุงูุฉ ุงูุณูู ุจูุธุฑุฉ ูุงุญุฏุฉุ ุงุชุจุน ูุฐุง ุงูุชุณูุณู:
ุงูุฎุทูุฉ 1: ุฃู ูุฑุฉ ุฃูุจุฑุ
- ๐ข ุงูุฎุถุฑุงุก ุฃูุจุฑ โ ุถุบุท ุดุฑุงุก ู
ููู
ู
- ๐ด ุงูุญู
ุฑุงุก ุฃูุจุฑ โ ุถุบุท ุจูุน ู
ููู
ู
- ู
ุชุณุงููุชุงู โ ุชูุงุฒู/ุตุฑุงุน
ุงูุฎุทูุฉ 2: ุฃู ูุฑุฉ ู
ุถูุฆุฉุ
- ๐ข ุงูุฎุถุฑุงุก ู
ุถูุฆุฉ โ ุงุชุฌุงู ุตุนูุฏู ุญุงูู
- ๐ด ุงูุญู
ุฑุงุก ู
ุถูุฆุฉ โ ุงุชุฌุงู ูุจูุทู ุญุงูู
- ููุงูู
ุง ุฎุงูุช โ ุญูุงุฏ/ูุง ุงุชุฌุงู ูุงุถุญ
ุงูุฎุทูุฉ 3: ูู ููุฌุฏ ุชููุฌ ุจุฑุชูุงููุ
- ูุง ููุฌุฏ โ ุงุญุชู
ุงู ุชูุฑูุบ <30%
- ๐ ุชููุฌ ุฎุงูุช โ ุงุญุชู
ุงู ุชูุฑูุบ 30โ70%
- ๐ ุชููุฌ ููู ู
ุน ูุต โ ุงุญุชู
ุงู ุชูุฑูุบ >70%
ุงูุฎุทูุฉ 4: ู
ุง ูุฑุงุกุฉ ู
ููุงุณ ุงูุฌูุฏุ
- ู
ูุฌุจ ููู โ ุชุฃููุฏ ุงูููู
ูุฉ ุงูุดุฑุงุฆูุฉ
- ุณุงูุจ ููู โ ุชุฃููุฏ ุงูููู
ูุฉ ุงูุจูุนูุฉ
- ูุฑูุจ ู
ู ุงูุตูุฑ โ ูุง ุงุชุฌุงู ูุงุถุญ
โ ุฃู
ุซูุฉ ุนู
ููุฉ ูููุฑุงุกุฉ ุงูุจุตุฑูุฉ
ุงูู
ุซุงู 1: ูุฑุตุฉ ุดุฑุงุก ู
ุซุงููุฉ โก๐ข
- ุงููุฑุฉ ุงูุฎุถุฑุงุก: ูุจูุฑุฉ ูู
ุถูุฆุฉ ู
ุน ูุจุถ ุฏุงุฎูู
- ุงููุฑุฉ ุงูุญู
ุฑุงุก: ุตุบูุฑุฉ ูุฎุงูุชุฉ
- ุงูุชููุฌ ุงูุจุฑุชูุงูู: ููู ู
ุน ูุต "DISCHARGE IMMINENT"
- ู
ููุงุณ ุงูุฌูุฏ: +45%
- ุดุฏุฉ ุงูุญูู: 28%
ุงูุชูุณูุฑ: ุถุบุท ุดุฑุงุก ููู ู
ุชุฑุงูู
ุ ุงููุฌุงุฑ ุตุนูุฏู ูุดูู
ุงูู
ุซุงู 2: ูุฑุตุฉ ุจูุน ู
ุซุงููุฉ โก๐ด
- ุงููุฑุฉ ุงูุฎุถุฑุงุก: ุตุบูุฑุฉ ูุฎุงูุชุฉ
- ุงููุฑุฉ ุงูุญู
ุฑุงุก: ูุจูุฑุฉ ูู
ุถูุฆุฉ ู
ุน ูุจุถ ุฏุงุฎูู
- ุงูุชููุฌ ุงูุจุฑุชูุงูู: ููู ู
ุน ูุต "DISCHARGE IMMINENT"
- ู
ููุงุณ ุงูุฌูุฏ: โ52%
- ุดุฏุฉ ุงูุญูู: 31%
ุงูุชูุณูุฑ: ุถุบุท ุจูุน ููู ู
ุชุฑุงูู
ุ ุงููุฌุงุฑ ูุจูุทู ูุดูู
ุงูู
ุซุงู 3: ุชูุงุฒู/ุงูุชุธุงุฑ โ๏ธ
- ุงููุฑุชุงู: ู
ุชุณุงููุชุงู ุชูุฑูุจุงู ูู ุงูุญุฌู
- ุงูุฅุถุงุกุฉ: ููุงูู
ุง ุฎุงูุช
- ุงูุชููุฌ ุงูุจุฑุชูุงูู: ููู
- ู
ููุงุณ ุงูุฌูุฏ: +3%
- ุดุฏุฉ ุงูุญูู: 24%
ุงูุชูุณูุฑ: ุตุฑุงุน ููู ุจุฏูู ูุงุฆุฒ ูุงุถุญุ ุงูุชุธุฑ ุงุฎุชุฑุงููุง
ุงูู
ุซุงู 4: ุงุชุฌุงู ุตุนูุฏู ูุงุถุญ (ูุง ุชูุฑูุบ) ๐
- ุงููุฑุฉ ุงูุฎุถุฑุงุก: ูุจูุฑุฉ ูู
ุถูุฆุฉ
- ุงููุฑุฉ ุงูุญู
ุฑุงุก: ุตุบูุฑุฉ ุฌุฏุงู ูุฎุงูุชุฉ
- ุงูุชููุฌ ุงูุจุฑุชูุงูู: ูุง ููุฌุฏ
- ู
ููุงุณ ุงูุฌูุฏ: +68%
- ุดุฏุฉ ุงูุญูู: 8%
ุงูุชูุณูุฑ: ุณูุทุฑุฉ ุดุฑุงุฆูุฉ ูุงุถุญุฉุ ุตุฑุงุน ู
ุญุฏูุฏุ ู
ูุงุณุจ ูุชุชุจุน ุงูุชุฑูุฏ ุงูุตุนูุฏู
ุงูู
ุซุงู 5: ุชุดุจุน ุดุฑุงุฆู ู
ุญุชู
ู โ ๏ธ
- ุงููุฑุฉ ุงูุฎุถุฑุงุก: ูุจูุฑุฉ ุฌุฏุงู ูู
ุถูุฆุฉ
- ุงููุฑุฉ ุงูุญู
ุฑุงุก: ุตุบูุฑุฉ ุฌุฏุงู
- ุงูุชููุฌ ุงูุจุฑุชูุงูู: ุฎุงูุช
- ู
ููุงุณ ุงูุฌูุฏ: +88%
- ุดุฏุฉ ุงูุญูู: 4%
ุงูุชูุณูุฑ: ููู
ูุฉ ุดุฑุงุฆูุฉ ู
ุทููุฉุ ูุฏ ูุณุจู ุชุตุญูุญุงู ูุจูุทูุงู
โ ุฅุดุงุฑุงุช ุงูุชุฏุงูู
โก DISCHARGE IMMINENT (ุงูุชูุฑูุบ ุงููุดูู)
ุดุฑูุท ุงูุธููุฑ:
- discharge_prob โฅ 0.9
- ุงุฌุชูุงุฒ ุฌู
ูุน ุงูููุงุชุฑ ุงูู
ูุนููุฉ
- Confirmed (ุจุนุฏ ุฅุบูุงู ุงูุดู
ุนุฉ)
ุงูุชูุณูุฑ:
- ุชุฑุงูู
ุทุงูุฉ ูุจูุฑ ุฌุฏููุง
- ุงูุถุบุท ูุตู ูู
ุณุชูู ุญุฑุฌ
- ุงููุฌุงุฑ ุณุนุฑู ู
ุชููุน ุฎูุงู 1โ3 ุดู
ูุน
ููููุฉ ุงูุชุฏุงูู:
1. ุญุฏุฏ ุงุชุฌุงู ุงูุฌูุฏ:
โข ู
ูุฌุจ = ุชููุน ุตุนูุฏ
โข ุณุงูุจ = ุชููุน ูุจูุท
2. ุงูุชุธุฑ ุดู
ุนุฉ ุชุฃููุฏูุฉ:
โข ููุตุนูุฏ: ุดู
ุนุฉ ุตุงุนุฏุฉ ุชุบูู ููู ุงูุชุชุงุญูุง
โข ูููุจูุท: ุดู
ุนุฉ ูุงุจุทุฉ ุชุบูู ุชุญุช ุงูุชุชุงุญูุง
3. ุงูุฏุฎูู: ู
ุน ุงูุชุชุงุญ ุงูุดู
ุนุฉ ุงูุชุงููุฉ
4. ููู ุงูุฎุณุงุฑุฉ: ูุฑุงุก ุขุฎุฑ ูุงุน/ูู
ุฉ ู
ุญููุฉ
5. ุงููุฏู: ูุณุจุฉ ู
ุฎุงุทุฑุฉ/ุนุงุฆุฏ 1:2 ุนูู ุงูุฃูู
โ
ูุตุงุฆุญ ุงุญุชุฑุงููุฉ:
- ุฃูุถู ุงููุชุงุฆุฌ ุนูุฏ ุฏู
ุฌูุง ู
ุน ู
ุณุชููุงุช ุงูุฏุนู
/ุงูู
ูุงูู
ุฉ
- ุชุฌููุจ ุงูุฏุฎูู ุฅุฐุง ูุงู ุงูุฌูุฏ ูุฑูุจูุง ู
ู ุงูุตูุฑ (ยฑ5%)
- ุฒูุฏ ุญุฌู
ุงูู
ุฑูุฒ ุนูุฏ ุดุฏุฉ ุญูู > 30%
โ ๏ธ HIGH TENSION (ุงูุชูุชุฑ ุงูุนุงูู)
ุดุฑูุท ุงูุธููุฑ:
- 0.7 โค discharge_prob < 0.9
ุงูุชูุณูุฑ:
- ุงูุณูู ูู ุญุงูุฉ ุชุฑุงูู
ุทุงูุฉ
- ุงุญุชู
ุงู ุญุฑูุฉ ูููุฉ ูุฑูุจุฉุ ููู ููุณุช ููุฑูุฉ
- ูุฏ ูุณุชู
ุฑ ุงูุชุฑุงูู
ุฃู ูุญุฏุซ ุชูุฑูุบ
ููููุฉ ุงูุงุณุชูุงุฏุฉ:
- ุงูุงุณุชุนุฏุงุฏ: ุญุถูุฑ ุฃูุงู
ุฑ ู
ุนููุฉ ุนูุฏ ุงูุงุฎุชุฑุงูุงุช ุงูู
ุญุชู
ูุฉ
- ุงูู
ุฑุงูุจุฉ: ุฑุงูุจ ุงูุดู
ูุน ุงูุชุงููุฉ ุจุญุซูุง ุนู ุดู
ุนุฉ ุฏุงูุนุฉ
- ุงูุงูุชูุงุก: ูุง ุชุฏุฎู ูู ุฅุดุงุฑุฉ โ ุงุฎุชุฑ ุชูู ุงูุชู ุชุชูุงูู ู
ุน ุงูุงุชุฌุงู ุงูุนุงู
โ ุงุณุชุฑุงุชูุฌูุงุช ุงูุชุฏุงูู
๐ ุงุณุชุฑุงุชูุฌูุฉ 1: ุชุฏุงูู ุงูุชูุฑูุบ (ุงูุฃุณุงุณูุฉ)
ุงูู
ุจุฏุฃ: ุงูุฏุฎูู ุนูุฏ "DISCHARGE IMMINENT" ูู ุงุชุฌุงู ุงูุฌูุฏ
ุงูุฎุทูุงุช:
1. ุงูุชุธุฑ ุธููุฑ "โก DISCHARGE IMMINENT"
2. ุชุญูู ู
ู ุงุชุฌุงู ุงูุฌูุฏ (+/โ)
3. ุงูุชุธุฑ ุดู
ุนุฉ ุชุฃููุฏูุฉ ูู ุงุชุฌุงู ุงูุฌูุฏ
4. ุงุฏุฎู ู
ุน ุงูุชุชุงุญ ุงูุดู
ุนุฉ ุงูุชุงููุฉ
5. ููู ุงูุฎุณุงุฑุฉ ูุฑุงุก ุขุฎุฑ ูุงุน/ูู
ุฉ
6. ุงููุฏู: ูุณุจุฉ 1:2 ุฃู 1:3
ูุณุจุฉ ูุฌุงุญ ุนุงููุฉ ุฌุฏููุง ุนูุฏ ุงูุงูุชุฒุงู
ุจุดุฑูุท ุงูุชุฃููุฏ.
๐ ุงุณุชุฑุงุชูุฌูุฉ 2: ุชุชุจุน ุงูููู
ูุฉ
ุงูู
ุจุฏุฃ: ุงูุชุฏุงูู ู
ุน ุงููุทุจ ุงูู
ููู
ู (ุงููุฑุฉ ุงูุฃูุจุฑ ูุงูุฃูุซุฑ ุฅุถุงุกุฉ)
ุงูุฎุทูุงุช:
1. ุญุฏุฏ ุงููุทุจ ุงูู
ููู
ู (ุงูุฃูุจุฑ ุญุฌู
ุงู ูุงูุฃูุซุฑ ุฅุถุงุกุฉ)
2. ุชุฏุงูู ูู ุงุชุฌุงูู
3. ุงุญุฐุฑ ุนูุฏ ุชูุงุฑุจ ุงูุฃุญุฌุงู
(ุตุฑุงุน)
ู
ูุงุณุจุฉ ููุฅุทุงุฑุงุช ุงูุฒู
ููุฉ ุงูุฃุนูู (H1+).
๐ ุงุณุชุฑุงุชูุฌูุฉ 3: ุตูุฏ ุงูุงูุนูุงุณ
ุงูู
ุจุฏุฃ: ุงูุฏุฎูู ุนูุณ ุงูุงุชุฌุงู ุนูุฏ ุธุฑูู ู
ุนููุฉ
ุงูุดุฑูุท:
- ุดุฏุฉ ุญูู ุนุงููุฉ (>30%)
- ุฌูุฏ ู
ุชุทุฑู (>ยฑ40%)
- ุชุจุงุนุฏ ู
ุน ุงูุณุนุฑ (ู
ุซู: ูู
ุฉ ุณุนุฑูุฉ ุฌุฏูุฏุฉ ู
ุน ุชุฑุงุฌุน ุงูุฌูุฏ)
โ ๏ธ ุนุงููุฉ ุงูู
ุฎุงุทุฑุฉ โ ุงุณุชุฎุฏู
ุญุฌู
ู
ุฑูุฒ ุตุบูุฑ.
๐ ุงุณุชุฑุงุชูุฌูุฉ 4: ุงูุฏู
ุฌ ู
ุน ุงูุชุญููู ุงูููู
ุฃู
ุซูุฉ ุชุฃููุฏ ููู:
- ุงุฎุชุฑุงู ู
ูุงูู
ุฉ + ุชูุฑูุบ ุตุนูุฏู = ุฅุดุงุฑุฉ ุดุฑุงุก ู
ู
ุชุงุฒุฉ
- ูุณุฑ ุฏุนู
+ ุชูุฑูุบ ูุจูุทู = ุฅุดุงุฑุฉ ุจูุน ู
ู
ุชุงุฒุฉ
- ูู
ูุฐุฌ Head & Shoulders + ุฌูุฏ ุณุงูุจ ู
ุชุฒุงูุฏ = ุชุฃููุฏ ุงููู
ูุฐุฌ
- ุชุจุงุนุฏ RSI + ุดุฏุฉ ุญูู ุนุงููุฉ = ุงูุนูุงุณ ู
ุญุชู
ู
โ ุงูุชูุจููุงุช ุงูุฌุงูุฒุฉ
Bullish Discharge
- ุงูุดุฑุท: discharge_prob โฅ 0.9 + ุฌูุฏ ู
ูุฌุจ + ุฌู
ูุน ุงูููุงุชุฑ
- ุงูุฑุณุงูุฉ: "โก Bullish discharge"
- ุงูุงุณุชุฎุฏุงู
: ูุฑุตุฉ ุดุฑุงุก ุนุงููุฉ ุงูุงุญุชู
ุงููุฉ
Bearish Discharge
- ุงูุดุฑุท: discharge_prob โฅ 0.9 + ุฌูุฏ ุณุงูุจ + ุฌู
ูุน ุงูููุงุชุฑ
- ุงูุฑุณุงูุฉ: "โก Bearish discharge"
- ุงูุงุณุชุฎุฏุงู
: ูุฑุตุฉ ุจูุน ุนุงููุฉ ุงูุงุญุชู
ุงููุฉ
โ
ูุตูุญุฉ: ุงุณุชุฎุฏู
ูุฐู ุงูุชูุจููุงุช ู
ุน ุฅุนุฏุงุฏ "Once Per Bar" ูุชุฌูุจ ุงูุชูุฑุงุฑ.
โ ุงูู
ุฎุฑุฌุงุช ูู ูุงูุฐุฉ ุงูุจูุงูุงุช
Bias
- ุงูููู
: โ1 / 0 / +1
- ุงูุชูุณูุฑ: โ1 = ูุจูุทูุ 0 = ุญูุงุฏุ +1 = ุตุนูุฏู
- ุงูุงุณุชุฎุฏุงู
: ูุฏู
ุฌูุง ูู ุงุณุชุฑุงุชูุฌูุงุช ุขููุฉ
Discharge %
- ุงููุทุงู: 0โ100%
- ุงูุชูุณูุฑ: ุงุญุชู
ุงู ุงูุชูุฑูุบ
- ุงูุงุณุชุฎุฏุงู
: ู
ุฑุงูุจุฉ ุชุฏุฑูุฌ ุงูุชูุชุฑ (ู
ุซุงู: ู
ู 40% ุฅูู 85% ูู 5 ุดู
ูุน)
Field Strength
- ุงููุทุงู: 0โ100%
- ุงูุชูุณูุฑ: ุดุฏุฉ ุงูุตุฑุงุน
- ุงูุงุณุชุฎุฏุงู
: ุชุญุฏูุฏ "ูุงูุฐุฉ ุงููุฑุต" (25โ35% ู
ุซุงููุฉ ููุชูุฑูุบ)
Voltage
- ุงููุทุงู: โ100% ุฅูู +100%
- ุงูุชูุณูุฑ: ู
ูุฒุงู ุงูููู
- ุงูุงุณุชุฎุฏุงู
: ู
ุฑุงูุจุฉ ุงูุชุทุฑู (ุชุดุจุน ุดุฑุงุฆู/ุจูุนู ู
ุญุชู
ู)
โ ุงูุฅุนุฏุงุฏุงุช ุงูู
ุซูู ุญุณุจ ุฃุณููุจ ุงูุชุฏุงูู
ุงูู
ุถุงุฑุจุฉ (Scalping)
- ุงูุฅุทุงุฑ: 1Mโ5M
- Lookback: 10โ15
- Threshold: 0.5โ0.6
- Sensitivity: 1.2โ1.5
- ุงูููุงุชุฑ: Volume + Volatility
ุงูุชุฏุงูู ุงูููู
ู (Day Trading)
- ุงูุฅุทุงุฑ: 15Mโ1H
- Lookback: 20
- Threshold: 0.7
- Sensitivity: 1.0
- ุงูููุงุชุฑ: Volume + Volatility
ุงูุณูููุบ (Swing Trading)
- ุงูุฅุทุงุฑ: 4HโD1
- Lookback: 30โ50
- Threshold: 0.8
- Sensitivity: 0.8
- ุงูููุงุชุฑ: Volatility + Trend
ุงูุงุณุชุซู
ุงุฑ (Position Trading)
- ุงูุฅุทุงุฑ: D1โW1
- Lookback: 50โ100
- Threshold: 0.85โ0.95
- Sensitivity: 0.5โ0.8
- ุงูููุงุชุฑ: ุฌู
ูุน ุงูููุงุชุฑ
โ ูุตุงุฆุญ ููุงุณุชุฎุฏุงู
ุงูุฃู
ุซู
1. ุงุจุฏุฃ ุจุงูุฅุนุฏุงุฏุงุช ุงูุงูุชุฑุงุถูุฉ
ุฌุฑูุจู ุฃูููุง ูู
ุง ููุ ุซู
ุนุฏูู ุญุณุจ ุฃุณููุจู.
2. ุฑุงูุจ ุงูุชูุงูู ุจูู ุงูุนูุงุตุฑ
ุฃูุถู ุงูุฅุดุงุฑุงุช ุนูุฏู
ุง:
- ุงูุฌูุฏ ูุงุถุญ (>โ20%โ)
- ุดุฏุฉ ุงูุญูู ู
ุนุชุฏูุฉโุนุงููุฉ (15โ35%)
- ุงุญุชู
ุงู ุงูุชูุฑูุบ ู
ุฑุชูุน (>70%)
3. ุงุณุชุฎุฏู
ุฃุทุฑ ุฒู
ููุฉ ู
ุชุนุฏุฏุฉ
- ุงูุฅุทุงุฑ ุงูุฃุนูู: ุชุญุฏูุฏ ุงูุงุชุฌุงู ุงูุนุงู
- ุงูุฅุทุงุฑ ุงูุฃุฏูู: ุชูููุช ุงูุฏุฎูู
- ุชุฃูุฏ ู
ู ุชูุงูู ุงูุฅุดุงุฑุงุช ุจูู ุงูุฃุทุฑ
4. ุฏู
ุฌ ู
ุน ุฃุฏูุงุช ุฃุฎุฑู
- ู
ุณุชููุงุช ุงูุฏุนู
/ุงูู
ูุงูู
ุฉ
- ุฎุทูุท ุงูุงุชุฌุงู
- ุฃูู
ุงุท ุงูุดู
ูุน
- ู
ุคุดุฑุงุช ุงูุญุฌู
5. ุงุญุชุฑู
ุฅุฏุงุฑุฉ ุงูู
ุฎุงุทุฑุฉ
- ูุง ุชุฎุงุทุฑ ุจุฃูุซุฑ ู
ู 1โ2% ู
ู ุงูุญุณุงุจ
- ุงุณุชุฎุฏู
ุฏุงุฆู
ูุง ููู ุงูุฎุณุงุฑุฉ
- ูุง ุชุฏุฎู ูู ุงูุฅุดุงุฑุงุช โ ุงุฎุชุฑ ุงูุฃูุถู
โ ุชุญุฐูุฑุงุช ู
ูู
ุฉ
โ ๏ธ ููุณ ููุงุณุชุฎุฏุงู
ุงูู
ููุฑุฏ
ุงูู
ุคุดุฑ ุฃุฏุงุฉ ุชุญููู ู
ุณุงุนูุฏุฉ โ ูุง ุชุณุชุฎุฏู
ู ุจู
ุนุฒู ุนู ุงูุชุญููู ุงูููู ุฃู ุงูุฃุณุงุณู.
โ ๏ธ ูุง ูุชูุจุฃ ุจุงูู
ุณุชูุจู
ุงูุญุณุงุจุงุช ู
ุจููุฉ ุนูู ุงูุจูุงูุงุช ุงูุชุงุฑูุฎูุฉ โ ุงููุชุงุฆุฌ ููุณุช ู
ุถู
ููุฉ.
โ ๏ธ ุงูุฃุณูุงู ุชุฎุชูู
ูุฏ ุชุญุชุงุฌ ูุถุจุท ุงูุฅุนุฏุงุฏุงุช ููู ุณูู:
- ุงูุนู
ูุงุช: ุชุฑููุฒ ุนูู Volume Filter
- ุงูุฃุณูู
: ุฃุถู Trend Filter
- ุงููุฑูุจุชู: ุฎููุถ Threshold ูููููุง (ุฃูุซุฑ ุชูููุจูุง)
โ ๏ธ ุงูุฃุฎุจุงุฑ ูุงูุฃุญุฏุงุซ
ุงูู
ุคุดุฑ ูุง ูุฃุฎุฐ ูู ุงูุงุนุชุจุงุฑ ุงูุฃุฎุจุงุฑ ุงูู
ูุงุฌุฆุฉ โ ุชุฌููุจ ุงูุชุฏุงูู ูุจู/ุฃุซูุงุก ุงูุฃุฎุจุงุฑ ุงูุฑุฆูุณูุฉ.
โ ุงูู
ูุฒุงุช ุงููุฑูุฏุฉ
โ
ุฃูู ุชุทุจูู ููููุฑูู
ุบูุงุทูุณูุฉ ุนูู ุงูุฃุณูุงู
ูู
ูุฐุฌ ุฑูุงุถู ู
ุจุชูุฑ โ ููุณ ู
ุฌุฑุฏ ู
ุคุดุฑ ุนุงุฏู
โ
ูุดู ุงุณุชุจุงูู ููุงููุฌุงุฑุงุช ุงูุณุนุฑูุฉ
ูููุจูู ูุจู ุญุฏูุซ ุงูุญุฑูุฉ โ ูููุณ ุจุนุฏูุง
โ
ุชุตููุฉ ู
ุชุนุฏุฏุฉ ุงูุทุจูุงุช
4 ููุงุชุฑ ุฐููุฉ ุชููู ุงูุฅุดุงุฑุงุช ุงููุงุฐุจุฉ ุฅูู ุงูุญุฏ ุงูุฃุฏูู
โ
ุชููู ุฐูู ู
ุน ุงูุชููุจ
ูุถุจุท ุญุณุงุณูุชู ุชููุงุฆูููุง ุญุณุจ ุธุฑูู ุงูุณูู
โ
ุชู
ุซูู ุจุตุฑู ุซูุงุซู ุงูุฃุจุนุงุฏ ู
ุชุญุฑู
ูุฌุนู ุงููุฑุงุกุฉ ููุฑูุฉ โ ุญุชู ููู
ุจุชุฏุฆูู
โ
ู
ุฑููุฉ ุนุงููุฉ
ูุนู
ู ุนูู ุฌู
ูุน ุงูุฃุตูู: ุฃุณูู
ุ ุนู
ูุงุชุ ูุฑูุจุชูุ ุณูุน
โ
ุชูุจููุงุช ู
ุฏู
ุฌุฉ ุฌุงูุฒุฉ
ูุง ุญุงุฌุฉ ูุฅุนุฏุงุฏุงุช ู
ุนูุฏุฉ โ ุฌุงูุฒ ููุงุณุชุฎุฏุงู
ุงูููุฑู
โ ุฎุงุชู
ุฉ: ุนูุฏู
ุง ููุชูู ุงููู ุจุงูุนูู
Market Electromagnetic Field ููุณ ู
ุฌุฑุฏ ู
ุคุดุฑ โ ุจู ููุณูุฉ ุชุญููููุฉ ุฌุฏูุฏุฉ.
ูู ุงูุฌุณุฑ ุจูู:
- ุฏูุฉ ุงูููุฒูุงุก ูู ูุตู ุงูุฃูุธู
ุฉ ุงูุฏููุงู
ูููุฉ
- ุฐูุงุก ุงูุณูู ูู ุชูููุฏ ูุฑุต ุงูุชุฏุงูู
- ุนูู
ุงูููุณ ุงูุจุตุฑู ูู ุชุณููู ุงููุฑุงุกุฉ ุงูููุฑูุฉ
ุงููุชูุฌุฉ: ุฃุฏุงุฉ ูุง ุชููุฑุฃ โ ุจู ุชูุดุงูุฏุ ุชูุดุนุฑุ ูุชูุณุชุดุนุฑ.
ุนูุฏู
ุง ุชุฑู ุงููุฑุฉ ุงูุฎุถุฑุงุก ุชุชูุณุนุ ูุงูุชููุฌ ูุตูุฑูุ ูุงูุฌุฒูุฆุงุช ุชูุฏูุน ูููู
ูู โ ูุฃูุช ูุง ุชุฑู ุฃุฑูุงู
ูุงุ ุจู ุชุฑู ุทุงูุฉ ุงูุณูู ุชุชูููุณ.
โ ๏ธ ุฅุฎูุงุก ู
ุณุคูููุฉ:
ูุฐุง ุงูู
ุคุดุฑ ูุฃุบุฑุงุถ ุชุนููู
ูุฉ ูุชุญููููุฉ ููุท. ูุง ููู
ุซู ูุตูุญุฉ ู
ุงููุฉ ุฃู ุงุณุชุซู
ุงุฑูุฉ ุฃู ุชุฏุงูููุฉ. ุงุณุชุฎุฏู
ู ุจุงูุชุฒุงู
ู ู
ุน ุงุณุชุฑุงุชูุฌูุชู ุงูุฎุงุตุฉ ูุฅุฏุงุฑุฉ ุงูู
ุฎุงุทุฑ. ูุง ูุชุญู
ู TradingView ููุง ุงูู
ุทูุฑ ู
ุณุคูููุฉ ุฃู ูุฑุงุฑุงุช ู
ุงููุฉ ุฃู ุฎุณุงุฆุฑ.
Langlands-Operadic Mรถbius Vortex (LOMV)Langlands-Operadic Mรถbius Vortex (LOMV)
Where Pure Mathematics Meets Market Reality
A Revolutionary Synthesis of Number Theory, Category Theory, and Market Dynamics
๐ THEORETICAL FOUNDATION
The Langlands-Operadic Mรถbius Vortex represents a groundbreaking fusion of three profound mathematical frameworks that have never before been combined for market analysis:
The Langlands Program: Harmonic Analysis in Markets
Developed by Robert Langlands (Fields Medal recipient), the Langlands Program creates bridges between number theory, algebraic geometry, and harmonic analysis. In our indicator:
L-Function Implementation:
- Utilizes the Mรถbius function ฮผ(n) for weighted price analysis
- Applies Riemann zeta function convergence principles
- Calculates quantum harmonic resonance between -2 and +2
- Measures deep mathematical patterns invisible to traditional analysis
The L-Function core calculation employs:
L_sum = ฮฃ(return_val ร ฮผ(n) ร n^(-s))
Where s is the critical strip parameter (0.5-2.5), controlling mathematical precision and signal smoothness.
Operadic Composition Theory: Multi-Strategy Democracy
Category theory and operads provide the mathematical framework for composing multiple trading strategies into a unified signal. This isn't simple averaging - it's mathematical composition using:
Strategy Composition Arity (2-5 strategies):
- Momentum analysis via RSI transformation
- Mean reversion through Bollinger Band mathematics
- Order Flow Polarity Index (revolutionary T3-smoothed volume analysis)
- Trend detection using Directional Movement
- Higher timeframe momentum confirmation
Agreement Threshold System: Democratic voting where strategies must reach consensus before signal generation. This prevents false signals during market uncertainty.
Mรถbius Function: Number Theory in Action
The Mรถbius function ฮผ(n) forms the mathematical backbone:
- ฮผ(n) = 1 if n is a square-free positive integer with even number of prime factors
- ฮผ(n) = -1 if n is a square-free positive integer with odd number of prime factors
- ฮผ(n) = 0 if n has a squared prime factor
This creates oscillating weights that reveal hidden market periodicities and harmonic structures.
๐ง COMPREHENSIVE INPUT SYSTEM
Langlands Program Parameters
Modular Level N (5-50, default 30):
Primary lookback for quantum harmonic analysis. Optimized by timeframe:
- Scalping (1-5min): 15-25
- Day Trading (15min-1H): 25-35
- Swing Trading (4H-1D): 35-50
- Asset-specific: Crypto 15-25, Stocks 30-40, Forex 35-45
L-Function Critical Strip (0.5-2.5, default 1.5):
Controls Riemann zeta convergence precision:
- Higher values: More stable, smoother signals
- Lower values: More reactive, catches quick moves
- High frequency: 0.8-1.2, Medium: 1.3-1.7, Low: 1.8-2.3
Frobenius Trace Period (5-50, default 21):
Galois representation lookback for price-volume correlation:
- Measures harmonic relationships in market flows
- Scalping: 8-15, Day Trading: 18-25, Swing: 25-40
HTF Multi-Scale Analysis:
Higher timeframe context prevents trading against major trends:
- Provides market bias and filters signals
- Improves win rates by 15-25% through trend alignment
Operadic Composition Parameters
Strategy Composition Arity (2-5, default 4):
Number of algorithms composed for final signal:
- Conservative: 4-5 strategies (higher confidence)
- Moderate: 3-4 strategies (balanced approach)
- Aggressive: 2-3 strategies (more frequent signals)
Category Agreement Threshold (2-5, default 3):
Democratic voting minimum for signal generation:
- Higher agreement: Fewer but higher quality signals
- Lower agreement: More signals, potential false positives
Swiss-Cheese Mixing (0.1-0.5, default 0.382):
Golden ratio ฯโปยน based blending of trend factors:
- 0.382 is ฯโปยน, optimal for natural market fractals
- Higher values: Stronger trend following
- Lower values: More contrarian signals
OFPI Configuration:
- OFPI Length (5-30, default 14): Order Flow calculation period
- T3 Smoothing (3-10, default 5): Advanced exponential smoothing
- T3 Volume Factor (0.5-1.0, default 0.7): Smoothing aggressiveness control
Unified Scoring System
Component Weights (sum โ 1.0):
- L-Function Weight (0.1-0.5, default 0.3): Mathematical harmony emphasis
- Galois Rank Weight (0.1-0.5, default 0.2): Market structure complexity
- Operadic Weight (0.1-0.5, default 0.3): Multi-strategy consensus
- Correspondence Weight (0.1-0.5, default 0.2): Theory-practice alignment
Signal Threshold (0.5-10.0, default 5.0):
Quality filter producing:
- 8.0+: EXCEPTIONAL signals only
- 6.0-7.9: STRONG signals
- 4.0-5.9: MODERATE signals
- 2.0-3.9: WEAK signals
๐จ ADVANCED VISUAL SYSTEM
Multi-Dimensional Quantum Aura Bands
Five-layer resonance field showing market energy:
- Colors: Theme-matched gradients (Quantum purple, Holographic cyan, etc.)
- Expansion: Dynamic based on score intensity and volatility
- Function: Multi-timeframe support/resistance zones
Morphism Flow Portals
Category theory visualization showing market topology:
- Green/Cyan Portals: Bullish mathematical flow
- Red/Orange Portals: Bearish mathematical flow
- Size/Intensity: Proportional to signal strength
- Recursion Depth (1-8): Nested patterns for flow evolution
Fractal Grid System
Dynamic support/resistance with projected L-Scores:
- Multiple Timeframes: 10, 20, 30, 40, 50-period highs/lows
- Smart Spacing: Prevents level overlap using ATR-based minimum distance
- Projections: Estimated signal scores when price reaches levels
- Usage: Precise entry/exit timing with mathematical confirmation
Wick Pressure Analysis
Rejection level prediction using candle mathematics:
- Upper Wicks: Selling pressure zones (purple/red lines)
- Lower Wicks: Buying pressure zones (purple/green lines)
- Glow Intensity (1-8): Visual emphasis and line reach
- Application: Confluence with fractal grid creates high-probability zones
Regime Intensity Heatmap
Background coloring showing market energy:
- Black/Dark: Low activity, range-bound markets
- Purple Glow: Building momentum and trend development
- Bright Purple: High activity, strong directional moves
- Calculation: Combines trend, momentum, volatility, and score intensity
Six Professional Themes
- Quantum: Purple/violet for general trading and mathematical focus
- Holographic: Cyan/magenta optimized for cryptocurrency markets
- Crystalline: Blue/turquoise for conservative, stability-focused trading
- Plasma: Gold/magenta for high-energy volatility trading
- Cosmic Neon: Bright neon colors for maximum visibility and aggressive trading
๐ INSTITUTIONAL-GRADE DASHBOARD
Unified AI Score Section
- Total Score (-10 to +10): Primary decision metric
- >5: Strong bullish signals
- <-5: Strong bearish signals
- Quality ratings: EXCEPTIONAL > STRONG > MODERATE > WEAK
- Component Analysis: Individual L-Function, Galois, Operadic, and Correspondence contributions
Order Flow Analysis
Revolutionary OFPI integration:
- OFPI Value (-100% to +100%): Real buying vs selling pressure
- Visual Gauge: Horizontal bar chart showing flow intensity
- Momentum Status: SHIFTING, ACCELERATING, STRONG, MODERATE, or WEAK
- Trading Application: Flow shifts often precede major moves
Signal Performance Tracking
- Win Rate Monitoring: Real-time success percentage with emoji indicators
- Signal Count: Total signals generated for frequency analysis
- Current Position: LONG, SHORT, or NONE with P&L tracking
- Volatility Regime: HIGH, MEDIUM, or LOW classification
Market Structure Analysis
- Mรถbius Field Strength: Mathematical field oscillation intensity
- CHAOTIC: High complexity, use wider stops
- STRONG: Active field, normal position sizing
- MODERATE: Balanced conditions
- WEAK: Low activity, consider smaller positions
- HTF Trend: Higher timeframe bias (BULL/BEAR/NEUTRAL)
- Strategy Agreement: Multi-algorithm consensus level
Position Management
When in trades, displays:
- Entry Price: Original signal price
- Current P&L: Real-time percentage with risk level assessment
- Duration: Bars in trade for timing analysis
- Risk Level: HIGH/MEDIUM/LOW based on current exposure
๐ SIGNAL GENERATION LOGIC
Balanced Long/Short Architecture
The indicator generates signals through multiple convergent pathways:
Long Entry Conditions:
- Score threshold breach with algorithmic agreement
- Strong bullish order flow (OFPI > 0.15) with positive composite signal
- Bullish pattern recognition with mathematical confirmation
- HTF trend alignment with momentum shifting
- Extreme bullish OFPI (>0.3) with any positive score
Short Entry Conditions:
- Score threshold breach with bearish agreement
- Strong bearish order flow (OFPI < -0.15) with negative composite signal
- Bearish pattern recognition with mathematical confirmation
- HTF trend alignment with momentum shifting
- Extreme bearish OFPI (<-0.3) with any negative score
Exit Logic:
- Score deterioration below continuation threshold
- Signal quality degradation
- Opposing order flow acceleration
- 10-bar minimum between signals prevents overtrading
โ๏ธ OPTIMIZATION GUIDELINES
Asset-Specific Settings
Cryptocurrency Trading:
- Modular Level: 15-25 (capture volatility)
- L-Function Precision: 0.8-1.3 (reactive to price swings)
- OFPI Length: 10-20 (fast correlation shifts)
- Cascade Levels: 5-7, Theme: Holographic
Stock Index Trading:
- Modular Level: 25-35 (balanced trending)
- L-Function Precision: 1.5-1.8 (stable patterns)
- OFPI Length: 14-20 (standard correlation)
- Cascade Levels: 4-5, Theme: Quantum
Forex Trading:
- Modular Level: 35-45 (smooth trends)
- L-Function Precision: 1.6-2.1 (high smoothing)
- OFPI Length: 18-25 (disable volume amplification)
- Cascade Levels: 3-4, Theme: Crystalline
Timeframe Optimization
Scalping (1-5 minute charts):
- Reduce all lookback parameters by 30-40%
- Increase L-Function precision for noise reduction
- Enable all visual elements for maximum information
- Use Small dashboard to save screen space
Day Trading (15 minute - 1 hour):
- Use default parameters as starting point
- Adjust based on market volatility
- Normal dashboard provides optimal information density
- Focus on OFPI momentum shifts for entries
Swing Trading (4 hour - Daily):
- Increase lookback parameters by 30-50%
- Higher L-Function precision for stability
- Large dashboard for comprehensive analysis
- Emphasize HTF trend alignment
๐ ADVANCED TRADING STRATEGIES
The Mathematical Confluence Method
1. Wait for Fractal Grid level approach
2. Confirm with projected L-Score > threshold
3. Verify OFPI alignment with direction
4. Enter on portal signal with quality โฅ STRONG
5. Exit on score deterioration or opposing flow
The Regime Trading System
1. Monitor Aether Flow background intensity
2. Trade aggressively during bright purple periods
3. Reduce position size during dark periods
4. Use Mรถbius Field strength for stop placement
5. Align with HTF trend for maximum probability
The OFPI Momentum Strategy
1. Watch for momentum shifting detection
2. Confirm with accelerating flow in direction
3. Enter on immediate portal signal
4. Scale out at Fibonacci levels
5. Exit on flow deceleration or reversal
โ ๏ธ RISK MANAGEMENT INTEGRATION
Mathematical Position Sizing
- Use Galois Rank for volatility-adjusted sizing
- Mรถbius Field strength determines stop width
- Fractal Dimension guides maximum exposure
- OFPI momentum affects entry timing
Signal Quality Filtering
- Trade only STRONG or EXCEPTIONAL quality signals
- Increase position size with higher agreement levels
- Reduce risk during CHAOTIC Mรถbius field periods
- Respect HTF trend alignment for directional bias
๐ฌ DEVELOPMENT JOURNEY
Creating the LOMV was an extraordinary mathematical undertaking that pushed the boundaries of what's possible in technical analysis. This indicator almost didn't happen. The theoretical complexity nearly proved insurmountable.
The Mathematical Challenge
Implementing the Langlands Program required deep research into:
- Number theory and the Mรถbius function
- Riemann zeta function convergence properties
- L-function analytical continuation
- Galois representations in finite fields
The mathematical literature spans decades of pure mathematics research, requiring translation from abstract theory to practical market application.
The Computational Complexity
Operadic composition theory demanded:
- Category theory implementation in Pine Script
- Multi-dimensional array management for strategy composition
- Real-time democratic voting algorithms
- Performance optimization for complex calculations
The Integration Breakthrough
Bringing together three disparate mathematical frameworks required:
- Novel approaches to signal weighting and combination
- Revolutionary Order Flow Polarity Index development
- Advanced T3 smoothing implementation
- Balanced signal generation preventing directional bias
Months of intensive research culminated in breakthrough moments when the mathematics finally aligned with market reality. The result is an indicator that reveals market structure invisible to conventional analysis while maintaining practical trading utility.
๐ฏ PRACTICAL IMPLEMENTATION
Getting Started
1. Apply indicator with default settings
2. Select appropriate theme for your markets
3. Observe dashboard metrics during different market conditions
4. Practice signal identification without trading
5. Gradually adjust parameters based on observations
Signal Confirmation Process
- Never trade on score alone - verify quality rating
- Confirm OFPI alignment with intended direction
- Check fractal grid level proximity for timing
- Ensure Mรถbius field strength supports position size
- Validate against HTF trend for bias confirmation
Performance Monitoring
- Track win rate in dashboard for strategy assessment
- Monitor component contributions for optimization
- Adjust threshold based on desired signal frequency
- Document performance across different market regimes
๐ UNIQUE INNOVATIONS
1. First Integration of Langlands Program mathematics with practical trading
2. Revolutionary OFPI with T3 smoothing and momentum detection
3. Operadic Composition using category theory for signal democracy
4. Dynamic Fractal Grid with projected L-Score calculations
5. Multi-Dimensional Visualization through morphism flow portals
6. Regime-Adaptive Background showing market energy intensity
7. Balanced Signal Generation preventing directional bias
8. Professional Dashboard with institutional-grade metrics
๐ EDUCATIONAL VALUE
The LOMV serves as both a practical trading tool and an educational gateway to advanced mathematics. Traders gain exposure to:
- Pure mathematics applications in markets
- Category theory and operadic composition
- Number theory through Mรถbius function implementation
- Harmonic analysis via L-function calculations
- Advanced signal processing through T3 smoothing
โ๏ธ RESPONSIBLE USAGE
This indicator represents advanced mathematical research applied to market analysis. While the underlying mathematics are rigorously implemented, markets remain inherently unpredictable.
Key Principles:
- Use as part of comprehensive trading strategy
- Implement proper risk management at all times
- Backtest thoroughly before live implementation
- Understand that past performance does not guarantee future results
- Never risk more than you can afford to lose
The mathematics reveal deep market structure, but successful trading requires discipline, patience, and sound risk management beyond any indicator.
๐ฎ CONCLUSION
The Langlands-Operadic Mรถbius Vortex represents a quantum leap forward in technical analysis, bringing PhD-level pure mathematics to practical trading while maintaining visual elegance and usability.
From the harmonic analysis of the Langlands Program to the democratic composition of operadic theory, from the number-theoretic precision of the Mรถbius function to the revolutionary Order Flow Polarity Index, every component works in mathematical harmony to reveal the hidden order within market chaos.
This is more than an indicator - it's a mathematical lens that transforms how you see and understand market structure.
Trade with mathematical precision. Trade with the LOMV.
*"Mathematics is the language with which God has written the universe." - Galileo Galilei*
*In markets, as in nature, profound mathematical beauty underlies apparent chaos. The LOMV reveals this hidden order.*
โ Dskyz, Trade with insight. Trade with anticipation.
Triad Trade MatrixOverview
Triad Trade Matrix is an advanced multi-strategy indicator built using Pine Script v5. It is designed to simultaneously track and display key trading metrics for three distinct trading styles on a single chart:
Swing Trading (Swing Supreme):
This mode captures longer-term trends and is designed for trades that typically span several days. It uses customizable depth and deviation parameters to determine swing signals.
Day Trading (Day Blaze):
This mode focuses on intraday price movements. It generates signals that are intended to be executed within a single trading session. The parameters for depth and deviation are tuned to capture more frequent, shorter-term moves.
Scalping (Scalp Surge):
This mode is designed for very short-term trades where quick entries and exits are key. It uses more sensitive parameters to detect rapid price movements suitable for scalping strategies.
Each trading style is represented by its own merged table that displays real-time metrics. The tables update automatically as new trading signals are generated.
Key Features
Multi-Style Tracking:
Swing Supreme (Large): For swing trading; uses a purple theme.
Day Blaze (Medium): For day trading; uses an orange theme.
Scalp Surge (Small): For scalping; uses a green theme.
Real-Time Metrics:
Each table displays key trade metrics including:
Entry Price: The price at which the trade was entered.
Exit Price: The price at which the previous trade was exited.
Position Size: Calculated as the account size divided by the entry price.
Direction: Indicates whether the trade is โUpโ (long) or โDownโ (short).
Time: The time when the trade was executed (formatted to hours and minutes).
Wins/Losses: The cumulative number of winning and losing trades.
Current Price & PnL: The current price on the chart and the profit/loss computed relative to the entry price.
Duration: The number of bars that the trade has been open.
History Column: A merged summary column that shows the most recent tradeโs details (entry, exit, and result).
Customizability:
Column Visibility: Users can toggle individual columns (Ticker, Timeframe, Entry, Exit, etc.) on or off according to their preference.
Appearance Settings: You can customize the table border width, frame color, header background, and text colors.
History Toggle: The merged history column can be enabled or disabled.
Chart Markers: There is an option to show or hide chart markers (labels and lines) that indicate trade entries and exits on the chart.
Trade History Management:
The indicator maintains a rolling history (up to three recent trades per trading style) and displays the latest summary in the merged table.
This history column provides a quick reference to recent performance.
How It Works
Signal Generation & Trade Metrics
Trade Entry/Exit Calculation:
For each trading style, the indicator uses built-in functions (such as ta.lowestbars and ta.highestbars) to analyze price movements. Based on a customizable "depth" and "deviation" parameter, it determines the point of entry for a trade.
Swing Supreme: Uses larger depth/deviation values to capture swing trends.
Day Blaze: Uses intermediate values for intraday moves.
Scalp Surge: Uses tighter parameters to pick up rapid price changes.
Metrics Update:
When a new trade signal is generated (i.e., when the trade entry price is updated), the indicator calculates:
The current PnL as the difference between the current price and the entry price (or vice versa, depending on the trade direction).
The duration as the number of bars since the trade was opened.
The position size using the formula: accountSize / entryPrice.
History Recording:
Each time a new trade is triggered (i.e., when the entry price is updated), a summary string is created (showing entry, exit, and win/loss status) and appended to the corresponding trade history array. The merged table then displays the latest summary from this history.
Table Display
Merged Table Structure:
Each trading style (Swing Supreme, Day Blaze, and Scalp Surge) is represented by a table that has 15 columns. The columns are:
Trade Type (e.g., Swing Supreme)
Ticker
Timeframe
Entry Price
Exit Price
Position Size
Direction
Time of Entry
Account Size
Wins
Losses
Current Price
Current PnL
Duration (in bars)
History (the latest trade summary)
User Customization:
Through the settings panel, users can choose which columns to display.
If a column is toggled off, its cells will remain blank, allowing traders to focus on the metrics that matter most to them.
Appearance & Themes:
The table headers and cell backgrounds are customizable via color inputs. The trading style names are color-coded:
Swing Supreme (Large): Uses a purple theme.
Day Blaze (Medium): Uses an orange theme.
Scalp Surge (Small): Uses a green theme.
How to Use the Indicator
Add the Indicator to Your Chart:
Once published, add "Triad Trade Matrix" to your TradingView chart.
Configure the Settings:
Adjust the Account Size to match your trading capital.
Use the Depth and Deviation inputs for each trading style to fine-tune the signal sensitivity.
Toggle the Chart Markers on if you want visual entry/exit markers on the chart.
Customize which columns are visible via the column visibility toggles.
Enable or disable the History Column to show the merged trade history in the table.
Adjust the appearance settings (colors, border width, etc.) to suit your chart background and preferences.
Interpret the Tables:
Swing Supreme:
This table shows metrics for swing trades.
Look for changes in entry price, PnL, and trade duration to monitor longer-term moves.
Day Blaze:
This table tracks day trading activity.It will update more frequently, reflecting intraday trends.
Scalp Surge:
This table is dedicated to scalping signals.Use it to see quick entry/exit data and rapid profit/loss changes.
The History column (if enabled) gives you a snapshot of the most recent trade (e.g., "E:123.45 X:124.00 Up Win").
Use allerts:
The indicator includes alert condition for new trade entries(both long and short)for each trading style.
Summary:
Triad Trade Matrix provides an robust,multi-dimensional view of your trading performance across swing trading, day trading, and scalping.
Best to be used whith my other indicators
True low high
Vma Ext_Adv_CustomTbl
This indicator is ideal for traders who wish to monitor multiple trading styles simultaneously, with a clear, technical, and real-time display of performance metrics.
Happy Trading!
MK 1 MIN EMA 9 / EMA 21 CrossoverEMA 9 / EMA 21 Crossover Strategy (1-Minute Scalping)
This strategy is a clean, fast, and reliable EMA crossover system designed specifically for 1-minute intraday scalping.
It uses only EMA 9 and EMA 21, keeping the chart uncluttered while delivering clear BUY and SELL signals based on momentum shifts.
๐น How It Works
BUY Signal:
When EMA 9 crosses above EMA 21, indicating bullish momentum.
SELL Signal:
When EMA 9 crosses below EMA 21, indicating bearish momentum.
Signals are confirmed visually using:
On-chart BUY / SELL text labels
Dynamic EMA color highlighting
Smart legend (top-right) that remembers the last active signal
๐จ Visual Features
EMA 9 plotted in green (turns bright on bullish trend)
EMA 21 plotted in red
BUY and SELL labels displayed directly on crossover candles
Dynamic legend:
BUY row stays green after bullish cross
SELL row stays red after bearish cross
Makes trend direction instantly clear, even on fast charts
โฑ Best Use
Timeframe: 1-minute
Suitable for:
Index scalping
Options scalping
High-liquidity stocks & ETFs
Works best during high-volume market hours
Open Interest [OI] & Liquidation Flowโ THE DUAL-ENGINE ARCHITECTURE: A FUSION OF TWO CRITICAL FORCES
The power of this suite comes from its dual-engine design. It isolates and analyzes the two opposing forces that truly drive modern markets: the informed positioning of institutions and the often-misguided sentiment of the retail crowd. A high-probability trade signal is only generated at the precise moment these two forces come into critical conflict.
ENGINE 1: The Open Interest (OI) & Position Flow Engine
This is your lens into the institutional world. Its primary function is to track the flow of money into and out of the market, revealing the true intent of large players.
Live OI Integration: In a groundbreaking feature for TradingView, this engine includes a Smart Symbol Detector that automatically seeks and integrates LIVE Open Interest data for supported markets (CME, Binance, Bybit, etc.). When available, you are seeing a direct feed of net new positions entering the market.
12-Factor Synthetic OI Model: When live OI data is not available, the engine synthesizes a high-fidelity proxy by analyzing 12 distinct factors, including Cumulative Volume Delta (CVD), Absorption, Effort vs. Result, and Institutional Bias.
Curvature Analysis: We don't just look at the flow; we analyze its Velocity and
Acceleration . A sharp acceleration in bullish OI Flow is a powerful sign that institutions are aggressively building long positions.
INTERPRETATION: This engine tells you what the "smart money" is doing. A divergenceโwhere price is falling but OI Flow is risingโis a classic sign that institutions are quietly absorbing retail panic, often preceding a violent reversal upwards.
ENGINE 2: The Liquidation Flow & Crowd Engine
This engine operates on a powerful contrarian philosophy: the market is designed to inflict maximum pain on the largest number of participants. It identifies when the retail "herd" is over-leveraged and positioned for a fall.
Crowd Positioning Model: It analyzes factors like extreme RSI levels, deviation from Fair Value (VWAP), and "chase behavior" (e.g., many consecutive bullish candles) to determine when the retail crowd is dangerously over-exposed.
Risk Analysis: It synthesizes multiple risk factorsโcrowding, momentum divergence, exhaustionโinto a single, easy-to-read Liquidation Risk percentage .
Fear & Greed Skew: It measures the volatility skew in the options market to provide a direct gauge of market-wide fear and greed, adding a final layer of sentimental context.
HOW TO USE IT: This is your liquidation radar. When Liquidation Risk is HIGH and the Crowd is positioned heavily LONG, the market is primed for a long squeeze (a liquidation cascade downwards). Conversely, when the Crowd is heavily SHORT, a short squeeze is highly probable.
โ THE SECRET SAUCE: UNIVERSAL ADAPTABILITY
The genius of this engine lies in its ability to work on any asset, in any timeframe, without manual recalibration. This is achieved through Z-Score Normalization . Every piece of data is converted from a raw value into a statistical score representing its deviation from the "norm." A +2.0 sigma event represents an extreme outlier, whether it's on a 1-minute chart of a crypto asset or a daily chart of a stock. This makes the signals universally comparable and allows the engine to automatically adapt to the unique volatility and character of any market.
โ THE ARSENAL: MASTERING THE VISUALS & ON-CHART TOOLS
Every visual element is a data-rich component designed for rapid, intuitive interpretation.
The Lower Pane Visualizer
This is your primary intelligence dashboard, with four distinct modes to view the underlying market forces:
Classic Flow (Default): A multi-column view perfect for spotting divergences between price and the underlying flow of money and sentiment.
Heatmap Matrix: A color-density grid designed to identify "cluster" events where multiple engines light up simultaneously, signaling institutional consensus.
Oscillator Pro: A zero-centered line visualization for traders who prefer crossover and momentum-style analysis.
Delta Waterfall: A unique cascading visualization that shows the cumulative "weight" of the market, stacking the pressure from each engine to reveal the dominant force.
Main Chart Overlays
BUY/SELL Signals: These are the primary, high-conviction reversal signals. They are not simple crossovers; they are the result of a rigorous confirmation process where institutional OI Flow directly conflicts with a vulnerable retail Liquidation Flow.
Minor Triangles (โฒโผ): Secondary momentum signals that are excellent for scalping, confirming a trend, or adding to a winning position.
Supply/Demand Zones: When a strong, institutionally-backed signal fires, the script automatically plots a defended zone (Red for Supply, Green for Demand), highlighting future high-probability reversal areas.
Key Levels: Automatically extends lines from significant highs and lows where a major flow reversal occurred, highlighting critical support and resistance.
High Risk Diamonds (๐): A critical risk management tool. These markers appear when conditions are ripe for a liquidation cascade. This is an explicit warning to take profits or stand aside.
The Dashboard (HUD)
Your at-a-glance command center, displaying real-time, mission-critical data:
Z-Scores for OI Flow Velocity & Acceleration: See the raw, normalized momentum of the institutional flow.
Crowd Sentiment Status: Instantly know if the market is dangerously "CROWDED" or balanced.
Liquidation Risk %: A numerical gauge from 0-100% showing the probability of a violent flush.
Live Data Status: Confirms whether the engine is using LIVE OI data or the PRO synthetic model.
Optimizer Readout: When enabled, shows the backtest results of your current settings.
โ THE COMMAND CENTER: MASTERING THE INPUTS
This suite offers deep customization for the professional trader.
Analysis Length: The "memory" of the flow engine. Use shorter lengths (10-14) for scalping and longer lengths (21+) for swing trading.
Signal Sensitivity: A master control to switch between Conservative (fewer, higher-quality signals), Normal (balanced), and Aggressive (more frequent signals for scalping) modes.
Display Toggles: Individually enable or disable any of the core components in the lower pane to create your perfect analytical view.
Overlay Controls: Individually toggle all on-chart visuals and control the maximum number of Zones and Key Levels to maintain a clean workspace.
โ THE OPTIMIZER ENGINE: VALIDATE BEFORE YOU TRADE
Confidence comes from data. The built-in Optimizer Engine is a powerful backtester that runs on your chart's visible data. It allows you to rapidly test different ATR-based Take Profit and Stop Loss parameters, providing key metrics like Win Rate, Profit Factor, and a proprietary Stability Rating ( ROBUST, STABLE, FRAGILE, OVERFIT ) to help you find the most statistically sound settings for your specific asset and timeframe before risking capital.
โ DEVELOPMENT PHILOSOPHY
This indicator was born from a single, guiding principle: to win in modern markets, you must stop listening to the noise of price and start analyzing the signal of flow. Price is where amateurs look; flow is where professionals find their edge. This tool is our attempt to level the playing field, translating the opaque world of derivatives and institutional positioning into a clear, intuitive, and actionable intelligence system.
This tool is for the serious student of the marketโthe trader who seeks to understand the "why" behind the move, not just the "what."
โ DISCLAIMER AND BEST PRACTICES
THIS IS AN ADVANCED ANALYTICAL TOOL: This indicator provides intelligence, not financial advice. It should be used as a core component of a comprehensive trading strategy that includes your own analysis of market structure and risk management.
RISK MANAGEMENT IS PARAMOUNT: All trading involves substantial risk. Never risk more capital than you are prepared to lose. This indicator does not guarantee profits.
SIGNAL HIERARCHY IS KEY: Treat the main BUY/SELL labels as your primary signals. Use the minor triangles to add to positions or for scalping. Use the High Risk diamonds as a signal to reduce exposure and take profits.
MULTI-TIMEFRAME ANALYSIS: For the highest probability setups, use the indicator on a higher timeframe (e.g., 1H) to establish an institutional bias, then take signals on a lower timeframe (e.g., 5m) that align with that bias.
"The game of speculation is the most uniformly fascinating game in the world. But it is not a game for the stupid, the mentally lazy, the person of inferior emotional balance, or the get-rich-quick adventurer. They will die poor."
โ Jesse Livermore
Taking you to school. - Dskyz, Trade with Open Interest. Trade with Liquidity. Trade with Open Interest & Liquidation Flow
Reversal Point Dynamicsโ Reversal Point Dynamics (RPD)
This is not an indicator; it is a complete system for deconstructing the mechanics of a market reversal. Reversal Point Dynamics (RPD) moves far beyond simplistic pattern recognition, venturing into a deep analysis of the underlying forces that cause trends to exhaust, pause, and turn. It is engineered from the ground up to identify high-probability reversal points by quantifying the confluence of market dynamics in real-time.
Where other tools provide a static signal, RPD delivers a dynamic probability. It understands that a true market turning point is not a single event, but a cascade of failing momentum, structural breakdown, and a shift in market order. RPD's core engine meticulously analyzes each of these dynamic componentsโthe market's underlying state, its velocity and acceleration, its degree of chaos (entropy), and its structural framework. These forces are synthesized into a single, unified Probability Score, offering you an unprecedented, transparent view into the conviction behind every potential reversal.
This is not a "black box" system. It is an open-architecture engine designed to empower the discerning trader. Featuring real-time signal projection, an integrated Fibonacci R2R Target Engine, and a comprehensive dashboard that acts as your Dynamics Control Center , RPD gives you a complete, holistic view of the market's state.
The Theoretical Core: Deconstructing Market Dynamics
RPD's analytical power is born from the intelligent synthesis of multiple, distinct theoretical models. Each pillar of the engine analyzes a different facet of market behavior. The convergence of these analysesโthe "Singularity" event referenced in the dashboardโis what generates the final, high-conviction probability score.
1. Pillar One: Quantum State Analysis (QSA)
This is the foundational analysis of the market's current state within its recent context. Instead of treating price as a random walk, QSA quantizes it into a finite number of discrete "states."
Formulaic Concept: The engine establishes a price range using the highest high and lowest low over the Adaptive Analysis Period. This range is then divided into a user-defined number of Analysis Levels. The current price is mapped to one of these states (e.g., in a 9-level system, State 0 is the absolute low, and State 8 is the absolute high).
Analytical Edge: This acts as a powerful foundational filter. The engine will only begin searching for reversal signals when the market has reached a statistically stretched, extreme state (e.g., State 0 or 8). The Edge Sensitivity input allows you to control exactly how close to this extreme edge the price must be, ensuring you are trading from points of maximum potential exhaustion.
2. Pillar Two: Price State Roc (PSR) - The Dynamics of Momentum
This pillar analyzes the kinetic forces of the market: its velocity and acceleration. It understands that itโs not just where the price is, but how it got there that matters.
Formulaic Concept: The psr function calculates two derivatives of price.
Velocity: (price - price ). This measures the speed and direction of the current move.
Acceleration: (velocity - velocity ). This measures the rate of change in that speed. A negative acceleration (deceleration) during a strong rally is a critical pre-reversal warning, indicating momentum is fading even as price may be pushing higher.
Analytical Edge: The engine specifically hunts for exhaustion patterns where momentum is clearly decelerating as price reaches an extreme state. This is the mechanical signature of a weakening trend.
3. Pillar Three: Market Entropy Analysis - The Dynamics of Order & Chaos
This is RPD's chaos filter, a concept borrowed from information theory. Entropy measures the degree of randomness or disorder in the market's price action.
Formulaic Concept: The calculateEntropy function analyzes recent price changes. A market moving directionally and smoothly has low entropy (high order). A market chopping back and forth without direction has high entropy (high chaos). The value is normalized between 0 and 1.
Analytical Edge: The most reliable trades occur in low-entropy, ordered environments. RPD uses the Entropy Threshold to disqualify signals that attempt to form in chaotic, unpredictable conditions, providing a powerful shield against whipsaw markets.
4. Pillar Four: The Synthesis Engine & Probability Calculation
This is where all the dynamic forces converge. The final probability score is a weighted calculation that heavily rewards confluence.
Formulaic Concept: The calculateProbability function intelligently assembles the final score:
A Base Score is established from trend strength and entropy.
An Entropy Score adds points for low entropy (order) and subtracts for high entropy (chaos).
A significant Divergence Bonus is awarded for a classic momentum divergence.
RSI & Volume Bonuses are added if momentum oscillators are in extreme territory or a volume spike confirms institutional interest.
MTF & Adaptive Bonuses add further weight for alignment with higher timeframe structure.
Analytical Edge: A signal backed by multiple dynamic forces (e.g., extreme state + decelerating momentum + low entropy + volume spike) will receive an exponentially higher probability score. This is the very essence of analyzing reversal point dynamics.
The Command Center: Mastering the Inputs
Every input is a precise lever of control, allowing you to fine-tune the RPD engine to your exact trading style, market, and timeframe.
๐ง Core Algorithm
Predictive Mode (Early Detection):
What It Is: Enables the engine to search for potential reversals on the current, unclosed bar.
How It Works: Analyzes intra-bar acceleration and state to identify developing exhaustion. These signals are marked with a ' ? ' and are tentative.
How To Use It: Enable for scalping or very aggressive day trading to get the earliest possible indication. Disable for swing trading or a more conservative approach that waits for full bar confirmation.
Live Signal Mode (Current Bar):
What It Is: A highly aggressive mode that plots tentative signals with a ' ! ' on the live bar based on projected price and momentum. These signals repaint intra-bar.
How It Works: Uses a linear regression projection of the close to anticipate a reversal.
How To Use It: For advanced users who use intra-bar dynamics for execution and understand the nature of repainting signals.
Adaptive Analysis Period:
What It Is: The main lookback period for the QSA, PSR, and Entropy calculations. This is the engine's "memory."
How It Works: A shorter period makes the engine highly sensitive to local price swings. A longer period makes it focus only on major, significant market structure.
How To Use It: Scalping (1-5m): 15-25. Day Trading (15m-1H): 25-40. Swing Trading (4H+): 40-60.
Fractal Strength (Bars):
What It Is: Defines the strength of the pivot detection used for confirming reversal events.
How It Works: A value of '2' requires a candle's high/low to be more extreme than the two bars to its left and right.
How To Use It: '2' is a robust standard. Increase to '3' for an even stricter definition of a structural pivot, which will result in fewer signals.
MTF Multiplier:
What It Is: Integrates pivot data from a higher timeframe for confluence.
How It Works: A multiplier of '4' on a 15-minute chart will pull pivot data from the 1-hour chart (15 * 4 = 60m).
How To Use It: Set to a multiple that corresponds to your preferred higher timeframe for contextual analysis.
๐ฏ Signal Settings
Min Probability %:
What It Is: Your master quality filter. A signal is only plotted if its score exceeds this threshold.
How It Works: Directly filters the output of the final probability calculation.
How To Use It: High-Quality (80-95): For A+ setups only. Balanced (65-75): For day trading. Aggressive (50-60): For scalping.
Min Signal Distance (Bars):
What It Is: A noise filter that prevents signals from clustering in choppy conditions.
How It Works: Enforces a "cooldown" period of N bars after a signal.
How To Use It: Increase in ranging markets to focus on major swings. Decrease on lower timeframes.
Entropy Threshold:
What It Is: Your "chaos shield." Sets the maximum allowable market randomness for a signal.
How It Works: If calculated entropy is above this value, the signal is invalidated.
How To Use It: Lower values (0.1-0.5): Extremely strict. Higher values (0.7-1.0): More lenient. 0.85 is a good balance.
Adaptive Entropy & Aggressive Mode:
What It Is: Toggles for dynamically adjusting the engine's core parameters.
How It Works: Adaptive Entropy can slightly lower the required probability in strong trends. Aggressive Mode uses more lenient settings across the board.
How To Use It: Keep Adaptive on. Use Aggressive Mode sparingly, primarily for scalping highly volatile assets.
๐ State Analysis
Analysis Levels:
What It Is: The number of discrete "states" for the QSA.
How It Works: More levels create a finer-grained analysis of price location.
How To Use It: 6-7 levels are ideal. Increasing to 9 can provide more precision on very volatile assets.
Edge Sensitivity:
What It Is: Defines how close to the absolute top/bottom of the range price must be.
How It Works: '0' means price must be in the absolute highest/lowest state. '3' allows a signal within the top/bottom 3 states.
How To Use It: '3' provides a good balance. Lower it to '1' or '0' if you only want to trade extreme exhaustion.
The Dashboard: Your Dynamics Control Center
The dashboard provides a transparent, real-time view into the engine's brain. Use it to understand the context behind every signal and to gauge the current market environment at a glance.
๐ฏ UNIFIED PROB SCORE
TOTAL SCORE: The highest probability score (either Peak or Valley) the engine is currently calculating. This is your main at-a-glance conviction metric. The "Singularity" header refers to the event where market dynamics alignโthe event RPD is built to detect.
Quality: A human-readable interpretation of the Total Score. "EXCEPTIONAL" (๐) is a rare, A+ confluence event. "STRONG" (๐ช) is a high-quality, tradable setup.
๐ ORDER FLOW & COMPONENT ANALYSIS
Volume Spike: Shows if the current volume is significantly higher than average (YES/NO). A 'YES' adds major confirmation.
Peak/Valley Conf: This breaks down the probability score into its directional components, showing you the separate confidence levels for a potential top (Peak) versus a bottom (Valley).
๐ MARKET STRUCTURE
HTF Trend: Shows the direction of the underlying trend based on a Supertrend calculation.
Entropy: The current market chaos reading. "๐ฅ LOW" is an ideal, ordered state for trading. "๐ด HIGH" is a warning of choppy, unpredictable conditions.
๐ฎ FIB & R2R ZONE (Large Dashboard)
This section gives you the status of the Fibonacci Target Engine. It shows if an Active Channel (entry zone) or Stop Zone (invalidation zone) is active and displays the precise price levels for the static entry, target, and stop calculated at the time of the signal.
๐ก๏ธ FILTERS & PREDICTIVES (Large Dashboard)
This panel provides a status check on all the bonus filters. It shows the current RSI Status, whether a Divergence is present, and if a Live Pending signal is forming.
The Visual Interface: A Symphony of Data
Every visual element is designed for instant, intuitive interpretation of market dynamics.
Signal Markers: These are the primary outputs of the engine.
โผ/โฒ b: A fully confirmed signal that has passed all filters.
? b: A tentative signal generated in Predictive Mode, indicating developing dynamics.
โ b: This diamond icon replaces the standard triangle when the signal is confirmed by a strong momentum divergence, highlighting it as a superior setup where dynamics are misaligned with price.
Harmonic Wave: The flowing, colored wave around the price.
What It Represents: The market's "flow dynamic" and volatility.
How to Interpret It: Expanding waves show increasing volatility. The color is tied to the "Quantum Color" in your theme, representing the underlying energy field of the market.
Entropy Particles: The small dots appearing above/below price.
What They Represent: A direct visualization of the "order dynamic."
How to Interpret Them: Their presence signifies a low-entropy, ordered state ideal for trading. Their color indicates the direction of momentum (PSR velocity). Their absence means the market is too chaotic (high entropy).
The Fibonacci Target Engine: The dynamic R2R system appearing post-signal.
Static Fib Levels: Colored horizontal lines representing the market's "structural dynamic."
The Green "Active Channel" Box: Your zone of consideration. An area to manage a potential entry.
Development Philosophy
Reversal Point Dynamics was engineered to answer a fundamental question: can we objectively measure the forces behind a market turn? It is a synthesis of concepts from market microstructure, statistics, and information theory. The objective was never to create a "perfect" system, but to build a robust decision-support tool that provides a measurable, statistical edge by focusing on the principle of confluence.
By demanding that multiple, independent market dynamics align simultaneously, RPD filters out the vast majority of market noise. It is designed for the trader who thinks in terms of probability and risk management, not in terms of certainties. It is a tool to help you discount the obvious and bet on the unexpected alignment of market forces.
"Markets are constantly in a state of uncertainty and flux and money is made by discounting the obvious and betting on the unexpected."
โ George Soros
Trade with insight. Trade with anticipation.
โ Dskyz, for DAFE Trading Systems
Multi-Average Trend Indicator (MATI)[FibonacciFlux]Multi-Average Trend Indicator (MATI)
Overview
The Multi-Average Trend Indicator (MATI) is a versatile technical analysis tool designed for traders who aim to enhance their market insights and streamline their decision-making processes across various timeframes. By integrating multiple advanced moving averages, this indicator serves as a robust framework for identifying market trends, making it suitable for different trading stylesโfrom scalping to swing trading.
MATI 4-hourly support/resistance
MATI 1-hourly support/resistance
MATI 15 minutes support/resistance
MATI 1 minutes support/resistance
Key Features
1. Diverse Moving Averages
- COVWMA (Coefficient of Variation Weighted Moving Average) :
- Provides insights into price volatility, helping traders identify the strength of trends in fast-moving markets, particularly useful for 1-minute scalping .
- DEMA (Double Exponential Moving Average) :
- Minimizes lag and quickly responds to price changes, making it ideal for capturing short-term price movements during volatile trading sessions .
- EMA (Exponential Moving Average) :
- Focuses on recent price action to indicate the prevailing trend, vital for day traders looking to enter positions based on current momentum.
- KAMA (Kaufman's Adaptive Moving Average) :
- Adapts to market volatility, smoothing out price action and reducing false signals, which is crucial for 4-hour day trading strategies.
- SMA (Simple Moving Average) :
- Provides a foundational view of the market trend, useful for swing traders looking at overall price direction over longer periods.
- VIDYA (Variable Index Dynamic Average) :
- Adjusts based on market conditions, offering a dynamic perspective that can help traders capture emerging trends.
2. Combined Moving Average
- The MATI's combined moving average synthesizes all individual moving averages into a single line, providing a clear and concise summary of market direction. This feature is especially useful for identifying trend continuations or reversals across various timeframes .
3. Dynamic Color Coding
- Each moving average is visually represented with color coding:
- Green indicates bullish conditions, while Red suggests bearish trends.
- This visual feedback allows traders to quickly assess market sentiment, facilitating faster decision-making.
4. Signal Generation and Alerts
- The indicator generates buy signals when the combined moving average crosses above its previous value, indicating a potential upward trendโideal for quick entries in scalping.
- Conversely, sell signals are triggered when the combined moving average crosses below its previous value, useful for exiting positions or entering short trades.
Insights and Applications
1. Scalping on 1-Minute Charts
- The MATI excels in fast-paced environments, allowing scalpers to identify quick entry and exit points based on short-term trends. With dynamic signals and alerts, traders can react swiftly to price movements, maximizing profit potential in brief price fluctuations.
2. Day Trading on 4-Hour Charts
- For day traders, the MATI provides essential insights into intraday trends. By analyzing the combined moving average and its relation to individual moving averages, traders can make informed decisions on when to enter or exit positions, capitalizing on daily price swings.
3. Swing Trading on Daily Charts
- The MATI also serves as a valuable tool for swing traders. By evaluating longer-term trends through the combined moving average, traders can identify potential swing points and adjust their strategies accordingly. The flexibility of adjusting the lengths of the moving averages allows for tailored approaches based on market volatility.
Benefits
1. Clarity and Insight
- The combination of diverse moving averages offers a clear visual representation of market trends, aiding traders in making informed decisions across multiple timeframes.
2. Flexibility and Customization
- With adjustable parameters, traders can adapt the MATI to their specific strategies, making it suitable for various market conditions and trading styles.
3. Real-Time Alerts and Efficiency
- Built-in alerts minimize response times, allowing traders to capitalize on opportunities as they arise, regardless of their trading style.
Conclusion
The Multi-Average Trend Indicator (MATI) is an essential tool for traders seeking to enhance their technical analysis capabilities. By seamlessly integrating multiple moving averages with dynamic color coding and real-time alerts, this indicator provides a comprehensive approach to understanding market trends. Its versatility makes it an invaluable asset for scalpers, day traders, and swing traders alike.
Important Note
As with any trading tool, thorough analysis and risk management are crucial when using this indicator. Past performance does not guarantee future results, and traders should always be prepared for market fluctuations.
All-in-One CVD: Failed Auction + Trap + Flow Classifications All-in-One CVD : Failed Auction/Trap + Flow Classifications (Colored Bars)
Description:
This script provides an advanced order flow and delta-based trading visualization designed to highlight key market microstructure events in real time. It combines Cumulative Volume Delta (CVD), failed auction detection, absorption tracking, continuation signals, and trap identification into a single, coherent tool with colored bars and visual markers. Unlike standard volume or trend-following indicators, this script focuses on aggressive order flow and price acceptance/rejection events, making it particularly suitable for scalping, intraday momentum trading, and identifying high-probability short-term setups.
Originality and Purpose:
Many scripts either show CVD or detect failed auctions separately, but this script integrates multiple advanced flow concepts into one indicator.
By combining CVD, normalized delta, strong delta thresholds, failed auctions, absorption, traps, and continuation patterns, traders can identify where aggressive buying or selling is being absorbed, where price is likely to continue, and where traps are forming.
The mashup is intentional: each component validates the other. For example, a failed auction signal without absorption is less significant, while a failed auction coinciding with absorption signals a true high-probability trap or reversal.
Failed auctions typically align with "Failed 2" patterns from The Strat by Rob Smith, providing additional confirmation using a well-established price action methodology.
How It Works:
Volume and Delta Calculation:
Computes buying and selling pressure from volume and bar structure (high/low/close).
Supports UltraData mode for enhanced volume calculations using security data.
Options for Cumulative Mode: Total, Periodic, or EMA-based CVD.
Normalized Delta and Strong Delta Detection:
Calculates normalized delta (z-score) to standardize flow across different volatility regimes.
Flags strong buying or selling when delta exceeds user-defined thresholds.
Failed Auction Detection:
Highlights bars where price attempted to break previous highs/lows but failed to sustain, signaling trapped aggressive participants.
True failed auctions can coincide with absorption for higher-probability setups.
Absorption:
Detects situations where strong aggressive flow is absorbed at key levels, showing institutional participation or liquidity consumption.
Bullish absorption occurs when aggressive buying is absorbed at previous lows; bearish absorption occurs when aggressive selling is absorbed at previous highs.
Flow Classification:
Continuation: Aggressive flow accepted by the market โ often the next candle continues in the direction of the delta.
Important: A single continuation signal does not guarantee follow-through. Traders should view it as an indicator that aggressive participants are in control for the current candle, and consider market context, trend, and support/resistance before assuming continuation. Multiple consecutive continuation signals or confirmation with absorption/strong delta increases reliability.
Trap: Aggressive flow trapped โ the market reverses after failed auction.
Absorption: Aggressive orders absorbed โ market shows hesitation at tested levels.
Colored CVD Bars and Visual Markers:
Bars colored green/red/gray based on delta direction.
Visual markers indicate flow state: circles for continuation, X-cross for traps, triangles for absorption.
Works in real time โ live candles are updated with flow state markers.
Alerts:
Custom alert conditions for each flow type: continuation, trap, and absorption.
Alerts provide actionable signals for automated monitoring or manual trading.
Trading Applications:
Trap Trading: Identify aggressive buyers/sellers who fail to push price and get trapped. Use trap signals to fade reversals.
Continuation Trading: Detect market acceptance of aggressive flow for trend-following or breakout strategies. Use caution: a single continuation signal indicates probability, not certainty, and should be confirmed with structural context.
Absorption Analysis: Spot where institutional participants absorb liquidity before a potential directional move.
Intraday Scalping: Combines delta, volume, failed auction logic, and Strat alignment for high-frequency setups.
Key Notes:
True failed auctions with significant market impact require absorption โ otherwise, a simple failed attempt may be a weak signal.
The script works across multiple markets (Forex, Crypto, Stock) and supports live bar updates.
Users can adjust strong delta thresholds, period lengths, and cumulative modes to fit their preferred trading style or volatility regime.
Conclusion:
This all-in-one script provides traders with a comprehensive, visually intuitive, and real-time method to detect aggressive flow, failed auctions, absorption, and continuation patterns. By linking failed auctions to The Stratโs failed 2 patterns, and clarifying the probabilistic nature of continuation signals, it merges advanced delta analytics with proven price action methodology, making it highly original, actionable, and educational for understanding market order flow dynamics.
[delta2win] ShockSentinel Early Warnings๐ ShockSentinel Early Warnings โ Advanced Multi-Symbol Shock Detection System
๐ UNIQUE METHODOLOGY:
This indicator implements a proprietary concordance-based shock detection system that goes beyond simple price movement analysis. Unlike basic pump/dump detectors, it uses a sophisticated multi-symbol correlation algorithm to validate signals across multiple assets simultaneously, significantly reducing false positives while maintaining sensitivity to genuine market shocks.
๐ฌ TECHNICAL APPROACH:
โข Adaptive Threshold System: Automatically adjusts detection sensitivity based on timeframe using proprietary scaling algorithms:
- 1m: 0.5% threshold (ultra-sensitive for scalping)
- 3m: 1.0% threshold (high-frequency trading)
- 5m: 2.0% threshold (short-term momentum)
- 15m: 3.0% threshold (intraday swings)
- 1h: 6.0% threshold (daily moves)
- 4h+: 10.0% threshold (swing trading)
โข Dual Detection Modes:
- Percent Mode: Calculates maximum percentage change within configurable lookback window (1-6 bars) using the formula: max(|(close - close ) / close * 100|) for i = 1 to window
- ATR-Normalized Mode: Uses Average True Range for volatility-adjusted detection across different market regimes: max(|close - close | / ATR) for i = 1 to window
โข Concordance Algorithm: Proprietary multi-symbol validation system that requires minimum correlation count across up to 4 additional symbols, ensuring signals are validated by market-wide participation rather than isolated price movements
โข Non-Repainting Architecture: Optional bar-close confirmation prevents false signals from intraday noise while maintaining real-time alert capability for immediate response
๐ฏ MATHEMATICAL FOUNDATION:
The core algorithm implements a sliding window maximum change detection:
Percent Change Calculation:
For each bar, the system calculates the maximum absolute percentage change over the specified window:
- PctChange = (close - close ) / close * 100
- MaxPct = max(|PctChange |) for i = 1 to window
- Signal triggers when MaxPct >= threshold
ATR-Normalized Calculation:
For volatility-adjusted detection:
- ATRChange = (close - close ) / ATR
- MaxATR = max(|ATRChange |) for i = 1 to window
- Signal triggers when MaxATR >= ATR_multiplier
Concordance Validation:
- Requires minimum N symbols showing same directional movement
- Validates signal strength through market participation
- Reduces false signals from isolated price movements
- Improves signal quality through correlation analysis
โ๏ธ ADVANCED FEATURES:
โข Preset System: 7 pre-configured strategies with optimized parameters:
- Scalp (Ultra-Fast): 0.6x scaling, 2-bar window, real-time alerts
- Aggressive: 0.7x scaling, 2-bar window, real-time alerts
- Balanced: 1.0x scaling, 3-bar window, confirmed signals
- Conservative: 1.3x scaling, 4-bar window, confirmed signals
- Volatility-Adaptive: ATR mode, 7-period ATR, 2.5x multiplier
- Momentum (Intraday): ATR mode, 10-period ATR, 2.0x multiplier
- Swing (Slow): ATR mode, 14-period ATR, 2.8x multiplier
โข Real-time vs Confirmed: Choose between immediate alerts or bar-close confirmation
โข Visual Analytics: Integrated signal history table with concordance gauges and performance metrics
โข Professional Alerts: Multi-format alert system (Compact, Extended, Plain, CSV) with Telegram integration and customizable messaging
๐ก UNIQUE VALUE PROPOSITION:
Unlike simple price change detectors, this system provides:
1. Multi-Symbol Validation: Validates signals across multiple correlated assets, ensuring market-wide participation
2. Adaptive Thresholds: Automatically adjusts sensitivity based on timeframe and market conditions
3. Dual Signal Types: Provides both real-time and confirmed signal options for different trading styles
4. Comprehensive Analytics: Includes signal history, concordance gauges, and performance tracking
5. Advanced Concordance: Uses sophisticated correlation algorithms for signal validation
6. Professional Integration: Built-in Telegram support with customizable message formats
๐ง USAGE INSTRUCTIONS:
1. Select Preset: Choose appropriate strategy for your trading style and timeframe
2. Configure Symbols: Add up to 4 additional symbols for concordance validation
3. Set Concordance: Adjust minimum count (higher = more selective, lower = more sensitive)
4. Choose Mode: Select between real-time or confirmed signals based on your risk tolerance
5. Enable Alerts: Configure notification preferences and message formats
6. Monitor Performance: Use integrated tables to track signal quality and concordance
๐ PERFORMANCE CHARACTERISTICS:
โข Optimized for Crypto: Designed specifically for high-volatility cryptocurrency markets
โข Multi-Timeframe: Effective across all timeframes from 1-minute to 4-hour charts
โข False Signal Reduction: Multi-symbol validation significantly reduces false positives
โข Flexible Sensitivity: Adjustable thresholds allow customization for different market conditions
โข Real-time Capability: Provides immediate alerts for fast-moving markets
โข Confirmation Option: Bar-close confirmation for conservative trading approaches
โ ๏ธ TECHNICAL CONSIDERATIONS:
โข Real-time Mode: May generate multiple alerts per bar; use cooldown settings to manage frequency
โข Data Dependencies: Concordance requires data availability for all configured symbols
โข Market Regimes: ATR mode provides better performance in varying volatility conditions
โข Signal Quality: Higher concordance requirements reduce false signals but may miss opportunities
โข Latency: request.security calls depend on data provider latency and availability
๐ฏ TARGET MARKETS:
โข Cryptocurrency Trading: High-volatility crypto markets with frequent shock events
โข Scalping: Short-term trading strategies requiring immediate signal detection
โข Swing Trading: Medium-term strategies benefiting from confirmed signals
โข Portfolio Management: Multi-asset correlation analysis for risk management
โข Algorithmic Trading: Systematic strategies requiring reliable signal validation
๐ SIGNAL INTERPRETATION:
โข Green Arrows (Pump): Upward price shock with sufficient concordance
โข Red Arrows (Dump): Downward price shock with sufficient concordance
โข Large Markers: Confirmed signals with high concordance
โข Small Markers: Early signals with lower concordance
โข Background Colors: Visual intensity based on concordance strength
โข Tables: Historical signal tracking with performance metrics
Laguerre-Kalman Adaptive Filter | AlphaNattLaguerre-Kalman Adaptive Filter |AlphaNatt
A sophisticated trend-following indicator that combines Laguerre polynomial filtering with Kalman optimal estimation to create an ultra-smooth, low-lag trend line with exceptional noise reduction capabilities.
"The perfect trend line adapts to market conditions while filtering out noise - this indicator achieves both through advanced mathematical techniques rarely seen in retail trading."
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๐ฏ KEY FEATURES
Dual-Filter Architecture: Combines two powerful filtering methods for superior performance
Adaptive Volatility Adjustment: Automatically adapts to market conditions
Minimal Lag: Laguerre polynomials provide faster response than traditional moving averages
Optimal Noise Reduction: Kalman filtering removes market noise while preserving trend
Clean Visual Design: Color-coded trend visualization (cyan/pink)
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๐ THE MATHEMATICS
1. Laguerre Filter Component
The Laguerre filter uses a cascade of four all-pass filters with a single gamma parameter:
4th order IIR (Infinite Impulse Response) filter
Single parameter (gamma) controls all filter characteristics
Provides smoother output than EMA with similar lag
Based on Laguerre polynomials from quantum mechanics
2. Kalman Filter Component
Implements a simplified Kalman filter for optimal estimation:
Prediction-correction algorithm from aerospace engineering
Dynamically adjusts based on estimation error
Provides mathematically optimal estimate of true price trend
Reduces noise while maintaining responsiveness
3. Adaptive Mechanism
Monitors market volatility in real-time
Adjusts filter parameters based on current conditions
More responsive in trending markets
More stable in ranging markets
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โ๏ธ INDICATOR SETTINGS
Laguerre Gamma (0.1-0.99): Controls filter smoothness. Higher = smoother but more lag
Adaptive Period (5-100): Lookback for volatility calculation
Kalman Noise Reduction (0.1-2.0): Higher = more noise filtering
Trend Threshold (0.0001-0.01): Minimum change to register trend shift
Recommended Settings:
Scalping: Gamma: 0.6, Period: 10, Noise: 0.3
Day Trading: Gamma: 0.8, Period: 20, Noise: 0.5 (default)
Swing Trading: Gamma: 0.9, Period: 30, Noise: 0.8
Position Trading: Gamma: 0.95, Period: 50, Noise: 1.2
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๐ TRADING SIGNALS
Primary Signals:
Cyan Line: Bullish trend - price above filter and filter ascending
Pink Line: Bearish trend - price below filter or filter descending
Color Change: Potential trend reversal point
Entry Strategies:
Trend Continuation: Enter on pullback to filter line in trending market
Trend Reversal: Enter on color change with volume confirmation
Breakout: Enter when price crosses filter with momentum
Exit Strategies:
Exit long when line turns from cyan to pink
Exit short when line turns from pink to cyan
Use filter as trailing stop in strong trends
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โจ ADVANTAGES OVER TRADITIONAL INDICATORS
Vs. Moving Averages:
Significantly less lag while maintaining smoothness
Adaptive to market conditions
Better noise filtering
Vs. Standard Filters:
Dual-filter approach provides optimal estimation
Mathematical foundation from signal processing
Self-adjusting parameters
Vs. Other Trend Indicators:
Cleaner signals with fewer whipsaws
Works across all timeframes
No repainting or lookahead bias
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๐ MATHEMATICAL BACKGROUND
The Laguerre filter was developed by John Ehlers, applying Laguerre polynomials (used in quantum mechanics) to financial markets. These polynomials provide an elegant solution to the lag-smoothness tradeoff that plagues traditional moving averages.
The Kalman filter, developed by Rudolf Kalman in 1960, is used in everything from GPS systems to spacecraft navigation. It provides the mathematically optimal estimate of a system's state given noisy measurements.
By combining these two approaches, this indicator achieves what neither can alone: a smooth, responsive trend line that adapts to market conditions while filtering out noise.
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๐ก TIPS FOR BEST RESULTS
Confirm with Volume: Strong trends should have increasing volume
Multiple Timeframes: Use higher timeframe for trend, lower for entry
Combine with Momentum: RSI or MACD can confirm filter signals
Market Conditions: Adjust noise parameter based on market volatility
Backtesting: Always test settings on your specific instrument
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โ ๏ธ IMPORTANT NOTES
No indicator is perfect - always use proper risk management
Best suited for trending markets
May produce false signals in choppy/ranging conditions
Not financial advice - for educational purposes only
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๐ CONCLUSION
The Laguerre-Kalman Adaptive Filter represents a significant advancement in technical analysis, bringing institutional-grade mathematical techniques to retail traders. Its unique combination of polynomial filtering and optimal estimation provides a clean, reliable trend-following tool that adapts to changing market conditions.
Whether you're scalping on the 1-minute chart or position trading on the daily, this indicator provides clear, actionable signals with minimal false positives.
"In the world of technical analysis, the edge comes from using better mathematics. This indicator delivers that edge."
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Developed by AlphaNatt | Professional Quantitative Trading Tools
Version: 1.0
Last Updated: 2025
Pine Script: v6
License: Open Source
Not financial advice. Always DYOR
Ayman โ Full Smart Suite Auto/Manual Presets + PanelIndicator Name
Ayman โ Full Smart Suite (OB/BoS/Liq/FVG/Pin/ADX/HTF) + Auto/Manual Presets + Panel
This is a multi-condition trading tool for TradingView that combines advanced Smart Money Concepts (SMC) with classic technical filters.
It generates BUY/SELL signals, draws Stop Loss (SL) and Take Profit (TP1, TP2) levels, and displays a control panel with all active settings and conditions.
1. Main Features
Smart Money Concepts Filters:
Order Block (OB) Zones
Break of Structure (BoS)
Liquidity Sweeps
Fair Value Gaps (FVG)
Pin Bar patterns
ADX filter
Higher Timeframe EMA filter (HTF EMA)
Two Operating Modes:
Auto Presets: Automatically adjusts all settings (buffers, ATR multipliers, RR, etc.) based on your chart timeframe (M1/M5/M15).
Manual Mode: Fully customize all parameters yourself.
Trade Management Levels:
Stop Loss (SL)
TP1 โ partial profit
TP2 โ full profit
Visual Panel showing:
Current settings
Filter status
Trend direction
Last swing levels
SL/TP status
Alerts for BUY/SELL conditions
2. Entry Conditions
A BUY signal is generated when all these are true:
Trend: Price above EMA (bullish)
HTF EMA: Higher timeframe trend also bullish
ADX: Trend strength above threshold
OB: Price in a valid bullish Order Block zone
BoS: Structure break to the upside
Liquidity Sweep: Sweep of recent lows in bullish context
FVG: A bullish Fair Value Gap is present
Pin Bar: Bullish Pin Bar pattern detected (if enabled)
A SELL signal is generated when the opposite conditions are met.
3. Stop Loss & Take Profits
SL: Placed just beyond the last swing low (BUY) or swing high (SELL), with a small ATR buffer.
TP1: Partial profit target, defined as a ratio of the SL distance.
TP2: Full profit target, based on Reward:Risk ratio.
4. How to Use
Step 1 โ Apply Indicator
Open TradingView
Go to your chart (recommended: XAUUSD, M1/M5 for scalping)
Add the indicator script
Step 2 โ Choose Mode
AUTO Mode: Leave โUse Auto Presetsโ ON โ parameters adapt to your timeframe.
MANUAL Mode: Turn Auto OFF and adjust all lengths, buffers, RR, and filters.
Step 3 โ Filters
In the Filters On/Off section, enable/disable specific conditions (OB, BoS, Liq, FVG, Pin Bar, ADX, HTF EMA).
Step 4 โ Trading the Signals
Wait for a BUY or SELL arrow to appear.
SL and TP levels will be plotted automatically.
TP1 can be used for partial close and TP2 for full exit.
Step 5 โ Alerts
Set alerts via BUY Signal or SELL Signal to receive notifications.
5. Best Practices
Scalping: Use M1 or M5 with AUTO mode for gold or forex pairs.
Swing Trading: Use M15+ and adjust buffers/ATR manually.
Combine with price action confirmation before entering trades.
For higher accuracy, wait for multiple filter confirmations rather than acting on the first arrow.
6. Summary Table
Feature Purpose Can Disable?
Order Block Finds key supply/demand zones โ
Break of Structure Detects trend continuation โ
Liquidity Sweep Finds stop-hunt moves โ
Fair Value Gap Confirms imbalance entries โ
Pin Bar Price action reversal filter โ
ADX Trend strength filter โ
HTF EMA Higher timeframe confirmation โ
