Smart Trader, Episode 03, by Ata Sabanci, Candles and TradelinesA volume-based multi-block analysis system designed for educational purposes. This indicator helps traders understand their current market situation through aggregated block analysis, volumetric calculations, trend detection, and an AI-style narrative engine.
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DESIGN PHILOSOPHY: CLEAN CHART, RICH DASHBOARD
Traditional indicators often clutter charts with dozens of support/resistance lines, making it difficult to see price action clearly. This indicator takes a different approach:
The Chart:
Displays only the most meaningful, nearest levels (1 up, 1 down) that have not been consumed by price. This keeps your chart clean and focused on what matters right now.
The Dashboard:
Contains all detailed metrics, calculations, and analysis. Instead of drawing 20 lines on your chart, you get comprehensive data in an organized table format.
Why this approach?
• A clean chart allows you to see price action without visual noise
• Fewer but more meaningful levels help focus attention on immediate reference points
• The dashboard provides depth without sacrificing chart clarity
• Beginners can learn chart reading with an uncluttered view while accessing detailed analysis when needed
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1. BLOCK SEGMENTATION
What it does:
Divides the analysis window into fixed-size blocks. Each block contains multiple bars that are analyzed as a single unit.
Why:
Individual bars contain noise. A single red candle in an uptrend might cause unnecessary concern, but when you view 5-10 bars as one block, the overall direction becomes clear. Block segmentation filters out bar-to-bar noise and reveals the underlying structure.
Benefit:
• Clearer view of market structure at a higher aggregation level
• Enables comparison between time periods (Block 1 vs Block 2 vs Block 3)
• Creates the foundation for composite candles and trend detection
• Reduces emotional reaction to single-bar movements
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2. COMPOSITE CANDLES (FRACTAL CONCEPT)
What it does:
Each block generates a "ghost candle" representing aggregated OHLC:
• Open: First bar's open in the block
• High: Highest high across all bars in the block
• Low: Lowest low across all bars in the block
• Close: Last bar's close in the block
Why:
This is essentially a FRACTAL view of the market. The same candlestick patterns that appear on a daily chart also appear on hourly charts, and on 5-minute charts. By aggregating bars into composite candles, you create a synthetic higher timeframe view without changing your actual timeframe.
Benefit:
• See higher timeframe patterns while staying on your preferred timeframe
• Identify block-level candlestick patterns (Doji, Hammer, Marubozu, Engulfing, etc.)
• Compare composite candle relationships: Does Block 1 engulf Block 2? Is Block 1 an inside bar relative to Block 2?
• Recognize patterns that individual bars obscure due to noise
Fractal Nature:
A hammer pattern means the same thing whether it appears on a 1-minute chart or a weekly chart: price tested lower levels and was rejected. Composite candles let you see these patterns at your chosen aggregation level, providing a multi-scale view of market behavior.
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3. VOLUME ENGINE
What it does:
This indicator is 100% VOLUME-BASED. It separates total volume into buying volume and selling volume using two methods:
Method 1 - Geometric (Approximation):
• Buy Volume = Total Volume × ((Close - Low) / Range)
• Sell Volume = Total Volume × ((High - Close) / Range)
Method 2 - Intrabar LTF (Precise):
Uses actual tick-level or lower timeframe data to determine real buy/sell distribution.
Why:
Raw volume tells you HOW MUCH was traded, but not WHO was aggressive. A large volume bar could mean heavy buying, heavy selling, or both. By separating buy and sell volume, you can identify which side is driving the market.
Benefit:
• Identify whether buyers or sellers are more aggressive
• Detect when volume contradicts price direction (divergence)
• Measure accumulation (buying into weakness) vs distribution (selling into strength)
• Quantify the delta (buy minus sell) to see net pressure
Why Delta Matters:
If price is rising but delta is negative, sellers are actually more aggressive despite the price increase. This divergence often precedes reversals because the price movement lacks volume confirmation.
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4. PIN ANALYSIS (WICK MEASUREMENT)
What it does:
Calculates average upper pin (wick) and lower pin sizes for each block, then tracks how these change across consecutive blocks.
Why:
Upper pins represent price levels that were tested but rejected by sellers. Lower pins represent price levels that were tested but rejected by buyers. The size and direction of pins reveal rejection strength at specific price zones.
Benefit:
• Large upper pins = strong selling pressure at higher levels
• Large lower pins = strong buying support at lower levels
• Increasing upper pins across blocks = intensifying selling pressure
• Decreasing lower pins across blocks = weakening buying support
Why Track Pin Changes:
Pin behavior often changes before price direction changes. If lower pins are shrinking while price is still rising, the buying support that was defending dips is weakening. This is observable data, not prediction.
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5. TREND CHANNEL DETECTION
What it does:
Identifies trend direction using block-level price structure:
• UPTREND: Block highs are higher than previous block highs, AND block lows are higher than previous block lows (HH/HL pattern)
• DOWNTREND: Block highs are lower than previous block highs, AND block lows are lower than previous block lows (LH/LL pattern)
• RANGE: No consistent directional pattern
Once detected, the system draws upper and lower channel boundaries by connecting extreme points within each trend segment.
Why:
HH/HL and LH/LL are the classical definitions of trend. By applying this logic to composite candles (blocks) rather than individual bars, the trend detection becomes more stable and less prone to whipsaws from single-bar noise.
Benefit:
• Clear visual boundaries showing the current trend channel
• Upper channel line = dynamic resistance based on actual price structure
• Lower channel line = dynamic support based on actual price structure
• Channel angle indicates trend strength (steeper = stronger)
• Channel width indicates volatility
Why Lock Trend States:
Once a block's trend classification is determined, it locks and does not change on subsequent recalculations. Without locking, the same block could flip between UP and DOWN repeatedly, creating inconsistent analysis. Locking ensures stability.
Why Project Lines Forward:
Channel lines can be projected into the future to show where support/resistance would be if the current trend continues at the same angle. This is not a prediction; it is a visual reference showing the trend's trajectory.
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6. CORE LEVELS: POC, MAX BUY, MAX SELL
What it does:
Identifies key price levels within each block based on volume data:
POC (Point of Control):
The price level where the highest total volume occurred within the block.
MAX BUY Level:
The bar with the highest buying volume. The HIGH of this bar marks the level.
MAX SELL Level:
The bar with the highest selling volume. The LOW of this bar marks the level.
MIN BUY/SELL Levels:
Optional levels showing where minimum buy/sell volume occurred.
Why:
High volume at a specific price means many participants entered positions there. These participants have a vested interest in that price level. If price returns to that area, those same participants may act to defend their positions.
Benefit:
• POC acts as a volume-based magnet; price tends to revisit high-volume areas
• MAX BUY level shows where buyers committed most aggressively
• MAX SELL level shows where sellers committed most aggressively
• These levels are based on actual transaction data, not arbitrary calculations
Why Consumed Levels Disappear:
When price crosses through a level, that level has been "tested." Keeping consumed levels on the chart creates visual clutter and suggests they are still relevant when they may no longer be. Removing them keeps focus on levels that have not yet been tested.
Why Show Only Nearest Levels:
If you have 20 blocks, you could have 60+ potential levels (POC, MAX BUY, MAX SELL for each). Displaying all of them makes the chart unreadable. Showing only the nearest untested level above and below current price keeps the chart clean while providing immediate reference points.
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7. QUALITY SCORE AND TREND INTELLIGENCE
What it does:
Calculates a quality score (0-100) for the current trend based on multiple factors:
• Angle steepness (stronger trends have steeper angles)
• Delta consistency (does volume support the trend direction?)
• Volume momentum (is participation increasing or decreasing?)
• Body expansion (are candle bodies growing or shrinking?)
• Pin alignment (do pins support the trend direction?)
• Contradiction count (how many factors disagree?)
Why:
Not all trends are equal. A trend with consistent volume support, expanding bodies, and aligned pins is healthier than a trend with contradicting signals. The quality score quantifies this.
Benefit:
• HIGH quality (80+): Multiple factors confirm the trend
• MEDIUM quality (60-79): Some factors confirm, some neutral
• LOW quality (below 60): Multiple contradictions exist
• Strength rating based on channel angle: VERY STRONG, STRONG, MODERATE, WEAK
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8. NARRATIVE ENGINE
What it does:
Generates a text-based market analysis by synthesizing all calculated data into readable sentences.
How it works:
1. Analyzes current candle: pattern type (Doji, Hammer, Marubozu, etc.), body/wick ratios, range vs ATR
2. Analyzes composite candle: Block 1 pattern and relationship to Block 2 (Engulfing, Inside, Outside)
3. Evaluates trend context: direction, duration, quality, transitions
4. Examines volume data: delta, dominance, momentum direction
5. Checks proximity to key levels: channel boundaries, POC, core levels
6. Identifies divergences: when price and volume directions contradict
7. Produces a coherent narrative describing the current situation
Why:
Numbers and charts require interpretation. The narrative engine translates calculated data into plain language, helping traders understand what the data means in context. This is especially valuable for beginners learning to read charts.
Benefit:
• Synthesizes multiple data points into a coherent story
• Explicitly flags divergences and contradictions
• Describes the current situation without making predictions
• Educational: shows how different factors relate to each other
What the Narrative Does NOT Do:
The narrative describes what IS, not what WILL BE. It does not predict future price movement. It reports the current candle pattern, the current trend state, the current volume situation, and the current proximity to levels.
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9. SMART DASHBOARD
What it does:
Displays all metrics in an organized table with multiple sections.
Sections:
• Volume Engine: Calculation method, data availability, current candle buy/sell/delta
• Trend Volumetrics: Aggregated buy/sell/delta across the current trend, trend type
• Pressure and Momentum: Average pins, pin change percentages, body expansion status
• Trend Channel Boundaries: Upper/lower levels with exact prices, distances, percentages
• Trend Intelligence: Quality score, confidence level, strength rating, volume momentum
Why:
All the detailed calculations need to live somewhere without cluttering the chart. The dashboard provides comprehensive data in a structured format.
Benefit:
• All metrics in one place
• Organized by category for easy reference
• Hover over any label to see a tooltip explaining that metric
• No need to draw dozens of lines on the chart
TIP: Hover over dashboard headers and labels to see tooltips explaining each metric.
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10. LANGUAGE SUPPORT
The indicator supports three languages:
• English
• Türkçe (Turkish)
• हिन्दी (Hindi)
Why only three languages?
Each additional language requires duplicate strings throughout the code, increasing memory usage and compilation time. To keep the script optimized and responsive, language options are limited to these three.
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11. DATA ACCURACY AND LIMITATIONS
This indicator is 100% VOLUME-BASED and requires Lower Timeframe (LTF) intrabar data for accurate calculations.
DATA ACCURACY LEVELS:
• 1T (Tick): Most accurate, real volume distribution per tick
• 1S (1 Second): Reasonably accurate approximation
• 15S (15 Seconds): Good approximation, longer historical data available
• 1M (1 Minute): Rough approximation, maximum historical data range
BACKTEST AND REPLAY LIMITATIONS:
• Replay mode results may differ from live trading due to data availability
• For longer backtest periods, use higher LTF settings (15S or 1M)
• Not all symbols/exchanges support tick-level data
• Crypto and Forex typically have better LTF data availability than stocks
A NOTE ON DATA ACCESS:
Higher TradingView plans provide access to more historical intrabar data, which directly impacts the accuracy of volume-based calculations. More precise volume data leads to more reliable calculations.
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12. SETTINGS OVERVIEW
Main Settings:
• Window Bars: Total bars to analyze
• Group Count: Number of blocks to create
• Calculation Basis: Current bar (live updates) or Closed bar (stable, no repaint)
Block Analytics:
• Show Composite Candle: Toggle ghost candles on/off
• Composite Candle Transparency: Adjust visibility
• Dim Original Candles: Fade original candles when composites are shown
Volume Engine:
• Calculation Method: Geometric (approx) or Intrabar (precise)
• Lower Timeframe: Select LTF for intrabar calculations
Multi-Segment Trend:
• Enable Trend Detection: Toggle trend channels on/off
• Range Angle Threshold: Angle below which trend is classified as RANGE
• Line colors, width, and style
• Project to Future: Extend trend lines forward
Core Calculation:
• Enable Core Calculation: Toggle POC and core levels
• Show POC Nearest Up/Down: Display nearest untested POC levels
• Include MAX/MIN Buy/Sell Levels: Toggle extremes display
• Nearest Only: Show only the closest level above and below price
Market Narrative:
• Enable Market Narrative: Toggle narrative text
• Language selection
• Show Educational Disclaimer: Toggle disclaimer in dashboard
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EDUCATIONAL PURPOSE
This indicator is designed to help traders:
1. Understand their current market situation at a glance
2. Learn chart reading through block analysis and composite candles
3. See how volume relates to price movement
4. Recognize when technical factors align or contradict
5. Focus on meaningful levels without chart clutter
Whether you are a beginner learning to read charts or an experienced trader seeking a cleaner analytical view, this tool provides structured data to support your analysis.
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IMPORTANT DISCLAIMER
This indicator is for EDUCATIONAL PURPOSES ONLY and does not constitute investment advice. Always conduct your own research and consult with a qualified financial advisor before making investment decisions.
This disclaimer is also displayed within the indicator itself. If you prefer a cleaner chart, you can disable it in Settings under Market Narrative by unchecking Show Educational Disclaimer.
Penunjuk dan strategi
Volatility Momentum Suite | Lyro RSVolatility Momentum Suite is an advanced momentum and volatility-based oscillator designed to deliver a complete view of trend strength, acceleration, and market extremes in a single pane. By combining rate-of-change smoothing, adaptive moving averages, standard deviation bands, and momentum acceleration, the indicator provides clear structural insight into trend continuation, exhaustion, and potential reversals.
Built with multiple display and signal modes, it adapts seamlessly to both trend-following and mean-reversion workflows while maintaining strong visual clarity.
Key Features
Momentum Core (Smoothed RoC)
The foundation of the indicator is a Rate of Change (RoC) calculation applied to a selectable price source. This RoC is smoothed using one of 14+ moving average types, including EMA, HMA, KAMA, FRAMA, JMA, and more, allowing precise control over responsiveness versus smoothness.
Standard Deviation Bands
Dynamic deviation bands are calculated around the smoothed momentum line using rolling standard deviation. Two band layers are plotted:
Inner bands for early expansion signals
Outer bands for extreme conditions
These bands adapt automatically to volatility, highlighting momentum expansions, compressions, and exhaustion zones.
Momentum Acceleration
A dedicated acceleration line measures the momentum of momentum itself. This helps identify:
Early trend ignition
Momentum deceleration before reversals
Continuation strength during expansions
Acceleration smoothing and MA type are fully configurable.
Multi-Mode Signal System
Trend Mode
Colors momentum and price according to position above or below the zero line, emphasizing directional bias and trend continuation.
Heikin Ashi Candles Mode
Applies Heikin Ashi logic directly to the momentum series, filtering noise and revealing smoother trend transitions through candle structure.
Extremes Mode
Detects statistically extreme momentum conditions beyond outer deviation bands. Signals are only confirmed after a Heikin Ashi momentum flip, reducing premature reversal entries.
Histogram Mode
Displays the difference between momentum and its signal line as a histogram, useful for divergence spotting and momentum shifts.
Histogram & Signal Line
An EMA signal line is applied to the smoothed momentum, producing a histogram that visually tracks momentum expansion, contraction, and directional changes with adaptive coloring.
Visual Customization
Choose from multiple predefined color palettes:
Classic
Mystic
Accented
Royal
Or define your own bullish and bearish colors.
Additional visual features include:
Momentum-colored candles
Heikin Ashi momentum candles
Band shading and fills
Optional zero-line reference
Integrated Status Table
A built-in table summarizes the real-time state of:
Trend bias
Heikin Ashi momentum direction
Extreme overbought / oversold conditions
This allows rapid decision-making without needing to interpret every visual element manually.
How It Works
Momentum Calculation
Computes Rate of Change on the selected source and smooths it using the chosen moving average.
Volatility Structure
Builds adaptive deviation bands from rolling standard deviation of the momentum line.
Acceleration Layer
Measures the rate of momentum change to detect early shifts in strength.
Mode-Dependent Logic
Trend mode focuses on directional bias
HA mode smooths momentum structure
Extremes mode filters reversals using volatility and HA confirmation
Histogram mode emphasizes momentum differentials
Signals & Alerts
Automatic alerts trigger on:
Momentum crossing above or below zero
Heikin Ashi momentum flips
Confirmed overbought and oversold extremes
Practical Use
Trend Confirmation: Sustained momentum above zero with expanding bands supports trend continuation.
Reversal Identification: Momentum pushing beyond outer bands followed by HA confirmation often precedes reversals.
Momentum Quality: Acceleration helps distinguish strong breakouts from weakening moves.
Multi-Timeframe Alignment: Use higher timeframes for bias and lower timeframes for precision entries using the same indicator.
Customization
Adjust RoC length and smoothing for sensitivity
Tune band length and multipliers for volatility conditions
Select display and signal modes based on strategy type
Fully customize colors to match your chart environment
⚠️ Disclaimer
This indicator is a technical analysis tool and does not guarantee results. It should be used alongside other forms of analysis and proper risk management. The author assumes no responsibility for trading decisions made using this indicator.
myZones [eFe]myZones
This indicator is designed for traders utilizing Smart Money Concepts (SMC) and Price Action , focusing on the precise validation of market structure. Unlike standard pivot indicators that look at neighboring bars, myZones uses a logic based on "Inducement" or "Candle Validation".
🟢 Concept: Valid Highs & Lows
The core of this indicator is how it defines a structural point:
Valid High : A high is only valid (confirmed) when a subsequent candle closes below the low of the specific candle that made that high.
Valid Low : A low is only valid (confirmed) when a subsequent candle closes above the high of the specific candle that made that low.
This method helps filter out noise and identifies true structural points that the market has committed to.
🔵 Features
1. Structural Markers
Visualizes confirmed Tops (Valid Highs) and Bottoms (Valid Lows) with customizable icons (Triangles, Circles, Diamonds, etc.).
2. Break of Structure (BOS) / MSS Zones
When price breaks a Valid High , a Bullish Structure Break occurs.
When price breaks a Valid Low , a Bearish Structure Break occurs.
Zones : The indicator draws a visual "Zone" connecting the broken structure level to the candle that broke it.
Zone 1 : Usually indicates the first break (Market Structure Shift / MSS) signaling a potential reversal.
Zone 2+ : Indicates trend continuation (BOS).
3. Real-Time Validation Line
A dashed line tracks the current "Candidate" High or Low level.
It shows you exactly where the candle needs to close to confirm the current structure point.
⚙️ Settings
Valid Highs & Lows : Customize marker style, size, and colors.
Validation Line : Toggle the visual aid for pending structure validation.
Zones :
Show Lines : Dropdown to select "None", "Zone 1 (MSS)", or "All (MSS + BoS)".
Zone Fills : Separate dropdowns for Bullish and Bearish fills. Use this to create a unique setup—for instance, show all Bullish zones to track a sub-trend, but only show Zone 1 for Bearish zones to spot major reversals.
Colors : Fully adjustable transparency and colors.
Usage Tip :
Use "Zone 1" fills to easily spot potential reversals (MSS), and use the Validation Line to anticipate when a new structural point is about to be confirmed in real-time.
Institutional Flow DetectorOverview
InstFlow 1S Delta identifies institutional order flow by analyzing volume anomalies and directional bias using 1-second sub-bar data. The indicator detects when large players are likely entering or exiting positions, providing actionable trade recommendations with confidence scoring.
Unlike traditional volume indicators that only show total volume, InstFlow breaks down each bar into 1-second micro-bars, classifies buying vs selling pressure, and identifies statistically significant volume events that likely represent institutional activity.
How It Works
1-Second Delta Analysis
The indicator fetches all 1-second bars within each candle and classifies each micro-bar as buying (close ≥ open) or selling (close < open). This achieves ~85-90% directional accuracy compared to ~55-65% from traditional bar-based methods.
Delta = Buy Volume - Sell Volume
Delta Ratio = |Delta| / Total Volume
Volume Anomaly Detection (Z-Score)
Volume is compared to a rolling 20-bar average using statistical z-scores:
- T1: Z-Score ≥ 1.5 (top ~7% of volume bars)
- T2: Z-Score ≥ 2.0 (top ~2% of volume bars)
- T3: Z-Score ≥ 3.0 (top ~0.1% of volume bars)
Signal Types
- Big Trades (T1/T2/T3) : Unusual volume with clear directional bias
- Absorption (ABS) : High volume + small price move + delta imbalance = hidden liquidity absorbing orders
- Exhaustion (EXH) : Capitulation pattern - big flush followed by immediate reversal with opposing delta
- Divergence (DIV) : Price and cumulative delta disagreeing over 5 bars
ACTION Recommendation System
Synthesizes all signals into a single trade direction (LONG/SHORT/WAIT) with confidence scoring (1-10):
- Exhaustion signals: +5 points (strongest reversal)
- Counter-trend absorption: +4 points
- Volume tier: +1 to +3 points
- Divergence confirmation: +2 points
- Strong trend (ADX>30): +1 point
- High delta imbalance (>50%): +1 point
Features
Real-time 1-second delta classification for accurate buy/sell detection
Statistical volume anomaly detection adapts to each instrument
Absorption detection finds hidden liquidity/iceberg orders
Exhaustion patterns catch capitulation reversals
Delta divergence warns of weakening moves
ACTION + Confidence system provides clear trade recommendations
Price-locked markers stay fixed at detection level (don't float)
Info table displays all metrics in real-time
RTH session filtering
Comprehensive alert conditions
Settings Guide
Detection Settings
Volume Lookback (20): Bars for calculating average volume and standard deviation
T1/T2/T3 Thresholds : Z-score thresholds for volume tiers. Lower = more signals.
1-Second Delta
Delta Resolution (1S): Use 1S for ES/NQ. Try 5S if 1S unavailable.
Min Delta Imbalance (10%): Minimum ratio to classify direction.
Absorption Detection
Min Volume Multiple (1.2x): Volume must exceed average by this multiple
Max Price Move Multiple (0.5x): Price move must be less than this × average range
Delta Imbalance Threshold (20%): Minimum delta ratio for absorption
Exhaustion Detection
Minimum Tier for Flush (T1): Required volume tier for the flush bar
New High/Low Lookback (10): Bars to check for price extremes
Min Reversal Size (0.3x ATR): Required body size for reversal bar
Divergence Detection
Divergence Lookback (5): Bars to compare price vs cumulative delta
Delta Trend Threshold (0.4): Sensitivity for divergence detection
How to Use
Add to ES, NQ, MES, or MNQ chart (1-5 minute timeframe)
Check 1S Data quality in table (green = 30+ bars = reliable)
Monitor ACTION field for trade direction
Use Confidence score for position sizing: HIGH (7+) = full size, GOOD (5-6) = standard, MED (3-4) = reduced
EXH signals are highest priority reversals
ABS + DIV combination is strong reversal confirmation
T2/T3 with trend are continuation signals
Avoid counter-trend T1/T2 without EXH/ABS/DIV confirmation
Visual Guide
Green circles below bar = Buy pressure (T1 small, T2 medium, T3 large)
Red circles above bar = Sell pressure (T1 small, T2 medium, T3 large)
Purple diamond + "ABS" = Absorption detected
Cyan label + "EXH" = Exhaustion pattern
Orange triangle + "DIV" = Delta divergence
Yellow background = Counter-trend warning
Best Practices
Trade during RTH (9:30am - 4:00pm ET) for most reliable signals
Wait for HIGH or GOOD confidence before full position
Use EXH as primary reversal trigger
Check cumulative delta supports trade direction
Combine with price action and support/resistance levels
Limitations
Requires 1-second data availability (ES, NQ, MES, MNQ have this)
ETH signals less reliable due to lower volume
EMA-based trend lags on sharp reversals
Not suitable for stocks without adjusting parameters significantly
Absorption/Exhaustion patterns may not occur every session
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice.
Past performance does not guarantee future results
The indicator shows where institutional activity is LIKELY - it does not predict the future
Always conduct your own research and analysis
Never risk more than you can afford to lose
Paper trade any new strategy before using real capital
Delta Microstructure AnalysisDelta Microstructure Analysis
Market microstructure analysis using footprint data for divergence, exhaustion, absorption, and trapped trader detection
Overview
Delta Microstructure Analysis is an order flow indicator that uses TradingView's footprint data to identify market conditions including divergences, exhaustion patterns, absorption zones, and trapped trader scenarios. The indicator calculates delta at each bar and tracks cumulative delta to identify potential reversals and continuations.
Key Features
Footprint Data Integration: Uses TradingView's built-in footprint data for accurate buy/sell volume delta calculation. Falls back to synthetic delta calculation when footprint data is unavailable.
Adaptive Tick Calculation: Automatically adjusts footprint tick size based on asset type and timeframe. Baseline values: crypto (200), forex (10), stocks (5), indices/futures (1), with timeframe scaling.
Cumulative Volume Delta (CVD): Tracks cumulative delta with reset options (None, Daily, Fixed Bars) to identify overall buying/selling pressure trends.
Divergence Detection: Identifies bullish and bearish divergences between price action and cumulative delta using configurable pivot strength (3-20 bars).
Exhaustion Pattern Recognition: Detects buying and selling exhaustion when delta exceeds configurable multiplier (2.0-10.0x) of average delta over lookback period (10-100 bars).
Absorption Zone Analysis: Identifies areas where aggressive orders are absorbed by resting liquidity, indicating potential support/resistance zones.
Trapped Trader Detection: Recognizes scenarios with strong initial momentum followed by sharp reversals, suggesting trapped positions.
Visual Labeling System: Displays signals as monospace labels (DIV↑/DIV↓, EXH↑/EXH↓, ABS↑/ABS↓, TRAP↑/TRAP↓) above/below candles.
Info Table Display: Shows current CVD, delta, average delta, data source, and active signals in a monospace-formatted table.
Alert System: Individual alerts for each signal type (divergences, exhaustion, absorption, trapped traders).
How It Works
Footprint Data Request: The indicator requests footprint data using adaptive tick sizing. If unavailable, uses synthetic delta calculation based on candle characteristics.
Delta Calculation: For footprint data, uses fp.delta() function. For synthetic delta, considers body size, wick analysis, and volume characteristics.
Cumulative Delta Tracking: Maintains running cumulative delta that resets based on selected mode (daily session changes or fixed bar intervals).
Pivot Detection: Uses configurable pivot strength to identify significant highs and lows in both price and cumulative delta.
Divergence Analysis: Compares price pivots with cumulative delta pivots. Bullish divergence: lower price lows with higher delta lows. Bearish divergence: higher price highs with lower delta highs.
Exhaustion Detection: Calculates average absolute delta over lookback period and identifies when current delta exceeds multiplier threshold.
Absorption Identification: Analyzes footprint patterns to detect when aggressive orders are met with sufficient resting liquidity.
Trapped Trader Recognition: Identifies strong momentum followed by sharp reversals using proprietary pattern recognition.
Signal Display: Shows signals as labels on chart and summarizes in info table with current market conditions.
Use Cases
Divergence Trading: Use divergence signals to identify potential trend reversals before they appear in price action.
Exhaustion Monitoring: Identify when buying or selling pressure may be exhausted, suggesting potential reversals.
Support/Resistance Levels: Use absorption zones to identify key price levels where institutional activity occurs.
Risk Management: Use trapped trader signals to anticipate sharp reversals and adjust position sizing.
Market Structure Analysis: Understand underlying order flow dynamics driving price movements.
Confirmation Tool: Combine with other technical indicators to confirm signals and improve trade probability.
Settings
Footprint Settings:
Use Footprint Data: Toggle between footprint and synthetic delta
Tick Size Mode: Auto (adaptive) or Manual tick sizing
Tick Density Multiplier: Adjusts price bucket size in footprint data
Manual Footprint Ticks: Custom tick size for Manual mode
CVD Settings:
CVD Reset Mode: None, Daily, or Fixed Bars
Reset Every N Bars: Number of bars between resets (10-1000)
Divergence Settings:
Pivot Strength: Bars required for pivot detection (3-20)
Show Divergence Lines: Toggle line display
Bullish/Bearish Divergence Color: Custom colors
Divergence Line Width: Line thickness (1-5)
Exhaustion Settings:
Delta Multiplier: Threshold multiplier (2.0-10.0)
Lookback for Avg Delta: Period for average calculation (10-100)
Show Exhaustion Markers: Toggle signal display
Display Options:
Show Info Table: Toggle table display
Table Position: Choose table location on chart
Table Styling:
Background, text, and border colors
Header styling options
Label Styling:
Label text color
Alert Settings:
Individual toggles for each signal type
Technical Notes
The indicator uses TradingView's footprint functions (request.footprint(), fp.delta()) for order flow analysis.
Adaptive tick calculation converts all timeframes to minutes for consistent scaling across chart intervals.
Synthetic delta calculation uses body size (70% weight), wick analysis, and body-to-range ratio for fallback when footprint data unavailable.
The indicator uses barstate.isconfirmed for calculations to prevent repainting.
All text displays use monospace font for consistent readability.
Table displays current CVD, delta, average delta, data source, and active signals in real-time.
Best Practices
Use on symbols where footprint data is available for most accurate analysis.
Combine divergence signals with price action for higher probability setups.
Monitor exhaustion signals in context of overall trend direction.
Pay attention to absorption zones at key technical levels.
Use trapped trader signals as early warning for potential reversals.
Adjust pivot strength based on trading timeframe (lower for shorter timeframes).
Consider data source indicator - synthetic delta may be less reliable than footprint data.
Set up alerts for preferred signal types when monitoring multiple symbols.
This indicator analyzes market microstructure using footprint data to identify divergences, exhaustion, absorption, and trapped trader patterns.
Supercharged MA Momentum Oscillator (v6,Secondary Levels)Supercharged MA Momentum Oscillator (Dots on Line)
Description:
The Supercharged MA Momentum Oscillator is a trend and momentum-based tool designed to highlight short-term market momentum relative to a moving average. It provides a visual way to identify potential entry and exit points using a combination of smoothed momentum, ATR-based thresholds, and upper/lower momentum levels.
Key Features:
Smooth momentum line derived from a moving average slope.
Opposite momentum line for contrarian signals.
ATR-based thresholds to detect meaningful momentum shifts.
Upper and lower momentum levels for stronger confirmation of overbought/oversold conditions.
Buy/sell dots plotted on the momentum line to highlight potential trade opportunities.
Customizable inputs for moving average length, smoothing, ATR period, and thresholds.
How to Use:
Momentum Interpretation:
Blue Line (Momentum): Represents the primary momentum.
Orange Line (Opposite Momentum): Represents the inverse momentum for contrarian observation.
Thresholds & Levels:
Green/Red Lines (ATR Thresholds): Define minor trigger zones for potential momentum changes.
Yellow Dashed Lines (Upper/Lower Levels): Define major momentum levels; stronger signals occur when momentum crosses these.
Trade Signals:
Buy Signal (Green Dot): Momentum crosses above both the ATR long threshold and the upper momentum level.
Sell Signal (Red Dot): Momentum crosses below both the ATR short threshold and the lower momentum level.
Dots appear directly on the momentum line to easily visualize trade triggers.
Customization:
Adjust the MA Length and Smoothing to fit the timeframe and asset volatility.
Modify ATR Length and Threshold Factor to fine-tune sensitivity.
Change Upper/Lower Momentum Levels to capture stronger or weaker signals.
Tips:
Best used in combination with trend analysis or other technical indicators for confirmation.
Ideal for spotting momentum reversals or identifying potential breakout entries.
Works on multiple timeframes — shorter timeframes will show more frequent signals, longer timeframes filter noise.
Note:
This indicator is for educational and informational purposes. Always use proper risk management and confirm signals with other analysis before executing trades.
RSI [Hash Capital Research]RSI is a visually enhanced momentum indicator built on the classic Relative Strength Index.
This version expands RSI into a more flexible analytical tool through smoothing options, adaptive zone-based coloring, optional signal line overlays, and divergence detection.
It is designed as a context-building indicator, not a standalone entry system.
What This Indicator Does
This script calculates a smoothed RSI using user-defined parameters and then provides multiple optional enhancements:
1. Adaptive RSI Visualization
The core RSI is plotted with:
Zone-based color changes (neutral, oversold, overbought)
Optional glow effects to emphasize extreme conditions
User-defined color intensity and midline visibility
The goal is to provide clearer visual segmentation of trend strength and momentum behavior.
2. Custom Smoothing & Signal Line Options
The indicator allows:
Multi-layer smoothing for RSI stability
An optional signal line using the trader’s preferred moving-average method (SMA, EMA, SMMA/RMA, WMA, VWMA)
This helps operators examine whether momentum is accelerating or stabilizing relative to its mean.
3. Overbought/Oversold Tools
User-defined thresholds determine:
Highlighted zones
Optional markers for extreme reversals (based on RSI + momentum + velocity criteria)
Midline (50) cross highlights for trend-bias transitions
These features help contextualize where the RSI sits relative to broader momentum regimes.
4. Divergence Detection (Optional)
When enabled, the script scans for regular bullish and bearish divergences using pivot-based structure.
It compares:
Price making lower lows vs RSI making higher lows (bullish)
Price making higher highs vs RSI making lower highs (bearish)
Detected divergences are plotted on the RSI panel with visual labels.
This detection uses pivot lookbacks and range limits defined by the user.
5. Alerts
The indicator provides optional alerts for:
Extreme reversals
Overbought/oversold momentum shifts
Midline (50) crossovers
Bullish / bearish divergences
Alerts are intended for monitoring, not for automated execution.
How to Use It
This RSI modification is intended to support broader analysis workflows, including:
Identifying regime shifts using midline crosses
Monitoring momentum structure across trend phases
Highlighting oversold or overbought clustering
Adding a visual signal line to interpret momentum smoothing
Spotting divergence between price and RSI
As with all indicators, this tool should be used as one component of a complete analysis framework.
What Makes This Version Distinct
This script maintains the core behavior of RSI but introduces:
A multi-layer smoothing system
Adaptive colors calibrated to oversold/neutral/overbought zones
Optional glow visualizations
A modular signal-line engine with multiple MA types
Configurable divergence detection with visual labels
Multiple marker placement modes for extreme conditions
These features expand RSI’s readability while keeping its underlying logic transparent and consistent with common operator workflows.
Important Notes
This is an indicator, not a strategy. It does not execute trades or calculate performance metrics.
The visual enhancements are designed to improve clarity, not to generate automated “buy” or “sell” systems.
Divergence detection is optional because divergence is inherently contextual and may not apply equally across all markets or timeframes.
PDH / PDL + Premarket Levels + VWAP + EMA 📌 PDH / PDL + Premarket Levels + VWAP + EMA (RTH Focused)
This indicator is designed for intraday traders who focus on the US market open and trade around key liquidity and acceptance levels.
It automatically plots:
Previous Day High (PDH) & Previous Day Low (PDL) based on Regular Trading Hours (RTH)
Premarket High (PMH) & Premarket Low (PML)
Session VWAP (Premarket + RTH, OHLC4)
8 EMA with dynamic trend coloring
All key levels are calculated during premarket but are only displayed after the market opens (9:30 ET) to keep the chart clean and actionable.
🔹 What’s Included
1️⃣ PDH / PDL (RTH-based)
Calculated from the prior day’s regular session
Useful for identifying liquidity sweeps, breakouts, and failed auctions
2️⃣ Premarket High / Low (PMH / PML)
Automatically tracked during premarket
Serve as important opening range and acceptance levels
3️⃣ Session VWAP (OHLC4)
Uses (Open + High + Low + Close) / 4
Accumulates from premarket through RTH
Helps identify institutional mean and trend acceptance
4️⃣ 8 EMA (Trend Bias)
Dynamically changes color based on structure:
🟢 Green when price is above PMH, PML, and EMA
🔴 Red when price is below PMH, PML, and EMA
⚪ Neutral when structure is mixed
🧠 How to Use
Look for trend continuation when price holds above PMH and VWAP with a green EMA
Watch for rejections or failures at PDH/PDL for reversal setups
Avoid chop when EMA remains neutral and price is between key levels
Best suited for scalping and momentum trades during the first hours of RTH
⏱ Session Logic
Premarket: 04:00 – 09:30 ET
Regular Trading Hours: 09:30 – 16:00 ET
Levels appear only after market open for clarity
⚠️ Disclaimer
This indicator is intended for educational and informational purposes only and should be used in conjunction with proper risk management and trade confirmation.
able bigtrades dom + liquidity sweep This Pine Script is a sophisticated **Order Flow and Liquidity analysis tool** designed for TradingView. It combines volume analysis, multi-exchange data, and price action to identify where institutional "whales" are entering the market.
Below is a detailed guide on how to interpret and use the **BigTrades DOM** indicator.
---
## 1. Core Concept: Big Trades Detection
Instead of looking at raw volume, this indicator uses **Z-Scores** (Standard Deviations). It compares current volume to the average of the last 30 bars (customizable).
* **Tier 1 (Small Circles):** Significant volume, slightly above average.
* **Tier 2 (Medium Circles):** High volume ( by default). These often act as local support/resistance.
* **Tier 3 (Large Circles):** Extreme volume. These represent institutional "Big Trades" that usually lead to trend reversals or major continuations.
---
## 2. Initiative (INIT) vs. Absorbed (ABS)
This is a powerful feature located in the **Confirmation** settings. It looks at what happens *after* a Tier 3 big trade occurs:
* **Initiative (Purple Circle `●`):** High volume occurs, and price **moves strongly** in that direction within bars. This confirms aggressive "Initiative" buying or selling.
* **Absorbed (Yellow Cross `✕`):** High volume occurs, but price **fails to move**. This indicates "Absorption"—where a large limit order (passive seller) is soaking up all the aggressive market buys, often leading to a reversal.
---
## 3. Liquidity Sweep Detection
The script tracks "Pivots" (old highs and lows) and watches for **Stop Runs**.
* **Bullish Sweep (LTL-SWEEP):** Price dips below a previous Low (Liquidity) but immediately closes back above it, usually accompanied by a Big Trade. This is a classic "Stop Hunt" before a move up.
* **Bearish Sweep (LTH-SWEEP):** Price spikes above a previous High but closes below it. This indicates "trapped longs" and potential downside.
* **Visuals:** The script draws a **Dotted Box** and a **Horizontal Line** to mark the swept liquidity zone.
---
## 4. The Mini DOM & Volume Profile
On the right side of your chart, you will see a real-time table:
* **Profile:** A visual histogram of volume distributed at specific price levels.
* **Bid/Ask:** Shows the estimated volume of sellers (Bid) and buyers (Ask) at those specific levels.
* **Delta (Δ):** The net difference. Green means more aggressive buyers; Red means more aggressive sellers.
* **Current Price:** Highlighted in Green to help you see where the "Value" is currently sitting.
---
## 5. Multi-Exchange Aggregation (Crypto Only)
If you are trading a crypto pair (e.g., BTCUSD), the script can fetch volume data from **Binance, Bybit, OKX, Coinbase, and Kraken** simultaneously.
> **Why it matters:** It gives you a "Global" view of volume. If you see a Big Trade on your chart, but the Multi-Exchange data shows high volume across all 5 exchanges, the signal is much more reliable.
---
## 6. How to Trade with this Indicator
### **Strategy A: The Liquidity Reversal**
1. Look for a **Liquidity Sweep** (LTL-SWEEP).
2. Wait for a **Big Trade (Tier 2 or 3)** to appear at the bottom of the sweep.
3. **Entry:** Long when the bar closes back above the sweep level.
4. **Target:** The opposite Liquidity High.
### **Strategy B: Following Initiative**
1. Wait for an **INIT (Purple Circle)** signal.
2. This confirms that the "Big Trade" has successfully pushed the market.
3. **Entry:** Enter in the direction of the INIT signal on the next pullback.
### **Strategy C: Fading Absorption**
1. Price reaches a resistance level.
2. An **ABS (Yellow Cross)** appears.
3. This means buyers are exhausted and being "absorbed" by a large seller.
4. **Entry:** Short on the break of the Absorption candle's low.
---
## 7. Recommended Settings
* **Sensitivity (Sigma):** Set to `2.5` for volatile markets (Crypto) or `2.0` for slower markets (Forex/Stocks).
* **Normalize by ATR:** Keep this **ON**. it ensures that "Big Trades" are calculated relative to current market volatility.
* **Require Big Trade (Sweep):** Keep this **ON** to filter out "fake" sweeps that don't have institutional backing.
Theme TrackerTheme Tracker is a clean, at-a-glance theme rotation dashboard built to help you quickly identify where money is flowing—and where it’s leaving—across the market’s most important macro, sector, and industry themes.
Instead of bouncing between dozens of charts, Theme Tracker tracks a curated basket of 40 major theme ETFs and displays their relative performance across multiple timeframes, so you can instantly spot leadership, momentum shifts, and early rotation.
What it shows
For each theme ETF, the table displays performance over:
1 Day
1 Week
1 Month
3 Months
Year to Date (YTD)
Themes are ranked automatically by the timeframe you choose, allowing you to focus on what matters most in the current market regime—short-term momentum, intermediate rotation, or longer-term trend leadership.
Why it’s useful
Market leaders change. Rotation happens quietly at first, then suddenly.
Theme Tracker helps you:
Find the strongest themes fast (the “winners” attracting capital)
Spot weakening themes early (distribution and risk-off rotation)
Confirm market tone by comparing offensive vs defensive leadership
Generate trade ideas by focusing on the themes that are already being bid up
Avoid laggards by seeing what’s consistently underperforming across timeframes
When a theme is strong across multiple timeframes, that’s often where momentum traders and institutions are concentrating exposure. When it’s weak across timeframes, that’s often where capital is exiting.
How to use it
1) Choose your sort timeframe
Use the Sort setting (1D / 1W / 1M / 3M / YTD) to rank themes based on your trading horizon.
2) Look for alignment
Strong across all columns = sustained leadership
Strong short-term, weak long-term = potential bounce / rotation attempt
Weak short-term, strong long-term = possible pullback in a leader
Weak across the board = consistent capital outflow
3) Pair with your chartwork
Use the strongest themes as a shortlist for deeper chart analysis, setups, and relative strength confirmation.
Visual design
The table uses clear formatting and heat-style shading to make it easy to read quickly. Green tones highlight strength; red tones highlight weakness—so you can interpret rotation in seconds without overthinking.
If you trade momentum, relative strength, or market structure, Theme Tracker gives you one of the simplest edges available: knowing what’s leading right now. Track the best-performing themes, identify emerging rotation, and stay aligned with the areas of the market where capital is actually moving.
Previous Day, Pre Market and ORB LevelsDescription
This indicator is designed for intraday traders who need significant price levels—Previous Day, Premarket, and Opening Ranges—without the visual clutter that typically plagues multi-level indicators.
Unlike standard indicators that draw lines across your entire chart history, this script focuses purely on the current trading day. It draws levels starting from the daily open and extends them into the future, keeping your historical price action clean and readable.
Key Features
Previous Day Levels: Automatically plots Previous Day High (PDH), Low (PDL), and Close (PDC).
Premarket Levels: Tracks the High and Low of the premarket session (04:00 – 09:30 NY).
Opening Range Breakout (ORB): Automatically detects and plots the 5-minute and 15-minute Opening Range Highs and Lows.
Clean Charting: Lines and labels are only drawn for the current active day. Old levels from previous days are automatically removed to prevent "chart noise."
Fully Customizable: Toggle any level on/off and customize colors to match your chart theme via the settings menu.
How It Works
Daily Data: Uses request.security to fetch the previous day's High, Low, and Close without repainting.
Session Logic: The script utilizes specific time sessions (set to New York time) to capture the Premarket range and the first 5 and 15 minutes of the regular session for ORB calculations.
Dynamic Drawing: Using Pine Script's line.new and label.new functions, the indicator draws levels only on the last bar, ensuring the lines stay relevant to the current price action.
Smart Fear & Greed Index [MarkitTick]💡 This comprehensive technical tool is designed to quantify market sentiment on an asset-specific basis, translating complex price action into a singular, normalized gauge of "Fear" and "Greed." While traditional Fear & Greed indices rely on macro-economic data (like put/call ratios or junk bond demand) generally applied to the broad S&P 500, this script calculates a localized index for the specific chart you are viewing. It synthesizes Momentum, Volatility, Volume, and Price Positioning into a bounded 0-100 oscillator, aiming to identify psychological extremes where market reversals are statistically more likely to occur.
✨ Originality and Utility
● Asset-Specific Sentiment Analysis
Most sentiment tools are external to the chart (e.g., news sentiment or broad market indices). The Smart Fear & Greed Index is unique because it internalizes this logic, creating a bespoke psychological profile for any ticker—whether it is Crypto, Forex, or Stocks. It allows traders to see if *this specific asset* is overheated (Greed) or oversold (Fear) relative to its own recent history.
● The "Buy the Fear, Sell the Greed" Logic
The script employs a contrarian color-coding philosophy aligned with the famous investment adage: "Be fearful when others are greedy, and greedy when others are fearful."
When the indicator shows Fear (Low values), it colors the zone Green, signaling a potential buying opportunity (discount).
When the indicator shows Greed (High values), it colors the zone Red, signaling potential downside risk (premium).
● Integrated Divergence Detection
Unlike standard oscillators that leave interpretation entirely to the user, this tool includes an automated divergence engine. It detects discrepancies between the sentiment index and price action, plotting lines and labels to highlight potential exhaustion points before they become obvious on the price chart.
🔬 Methodology and Concepts
The calculation is driven by a custom User-Defined Type (UDT) called QuantEngine , which aggregates four distinct technical "pillars" to form the final Composite Index.
• Pillar 1: Momentum (RSI)
The engine utilizes the Relative Strength Index to measure the velocity and magnitude of directional price movements. High momentum contributes to the "Greed" score, while collapsing momentum contributes to "Fear."
• Pillar 2: Volatility (Inverted Normalized ATR)
This component interprets volatility through a psychological lens.
Low Volatility is interpreted as complacency or "Greed" (steady uptrends often have low vol).
High Volatility is interpreted as "Fear" (panic selling and erratic ranges often spike volatility).
The script normalizes the Average True Range (ATR) and inverts it so that stability adds to the score, and instability subtracts from it.
• Pillar 3: Volume Strength
Volume is analyzed relative to its moving average. However, raw volume isn't enough; the engine applies directional logic.
High relative volume on an Up-Close adds to the Greed score.
High relative volume on a Down-Close subtracts, adding to the Fear score.
• Pillar 4: Price Position (Stochastic)
This calculates where the current close sits relative to the recent High-Low range. Closing near the highs indicates confidence (Greed), while closing near the lows indicates pessimism (Fear).
• The Composite & Smoothing
These four metrics are averaged to create a raw composite, which is then smoothed via an Exponential Moving Average (EMA) to filter out noise and produce the final, readable "Smart Fear & Greed" line.
🎨 Visual Guide
● The Oscillator Line
This is the primary fluctuating line that moves between 0 and 100.
Values > 50 suggest positive sentiment.
Values < 50 suggest negative sentiment.
● Color-Coded Zones
The plot changes color dynamically to reflect the psychological state:
Red (70-100): Extreme Greed. The market may be irrationally exuberant.
Orange (60-70): Greed. Strong bullish conviction.
Yellow (40-60): Neutral. Indecisive or transitionary market.
Light Green (30-40): Fear. Sentiment is turning bearish.
Bright Green (0-30): Extreme Fear. Panic selling, often a precursor to a value bounce.
● Background Highlights
A semi-transparent Red Background appears when the index breaches 75, warning of a potential "Top."
A semi-transparent Green Background appears when the index drops below 25, highlighting a potential "Bottom."
● Divergence Elements
Red Lines/Labels ("Bear"): Bearish Divergence. Price makes a Higher High, but the Index makes a Lower High. This suggests momentum is waning despite rising prices.
Green Lines/Labels ("Bull"): Bullish Divergence. Price makes a Lower Low, but the Index makes a Higher Low. This suggests selling pressure is drying up.
📖 How to Use
• Identifying Reversals
Wait for the oscillator to enter "Extreme" zones. Do not trade immediately upon entry; wait for the line to exit the extreme zone to confirm the reversal. For example, if the line hits 80 (Red) and then crosses back down below 70, it signals that Greed is fading.
• Trend Continuation
In a strong trend, the indicator may hover in the Greed (Orange) or Fear (Light Green) zones for extended periods. In these cases, use the Neutral (Yellow) zone crosses as re-entry signals in the direction of the trend.
• Divergence Confirmation
Use the automated divergence lines as high-conviction triggers. If the background turns Green (Extreme Fear) AND a Bullish Divergence label appears, it provides a stronger technical case for a long position than the zone alone.
⚙️ Inputs and Settings
● Calculation Settings
Global Lookback Period (Default: 21): The core lookback window for RSI, ATR, Volume, and Stochastic calculations. Increasing this makes the index slower and less reactive; decreasing it makes it faster.
Smoothing Length (Default: 5): Determines how smooth the final line is. Higher numbers reduce "whipsaws" but add lag.
Color Main Chart Candles : Colors the chart bars based on Fear/Greed sentiment.
● Divergence Settings
Divergence Lookback (Default: 5): Determines the pivot strength required to register a high or low for divergence checks.
Show Divergence Lines/Labels: Toggles to hide visual clutter if you only want to see the oscillator.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Normalization Theory
The core scientific principle here is Min-Max Normalization. The script takes heterogeneous data types—Price (Dollars/Cents), Volume (Shares/Contracts), and Volatility (Points)—and standardizes them into a unit-less distribution between 0 and 100. This allows for the summation of disparate market forces into a single vector.
● Mean Reversion and Oscillator Bounds
The indicator relies on the statistical concept of Mean Reversion. Markets, like elastic bands, can only stretch so far from their average valuation (represented by the 50 line) before snapping back. The "Extreme" zones (Upper and Lower deciles) represent areas of statistical improbability where the likelihood of a continuation decreases and the likelihood of a reversion increases.
● Divergence and Momentum Theory
The divergence logic is grounded in the principle that momentum precedes price. Mathematically, price is the integral of velocity. When the derivative (momentum/sentiment) approaches zero or reverses while the function (price) continues, it signals a non-sustainable anomaly in the data series, often resolved by a price correction.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Unreached Highs/Lows Oscillator [LuxAlgo]The Unreached Highs/Lows Oscillator highlights the amount of unreached high/low prices as a percentage over time, helping visualize trend strength and momentum from bullish and bearish market participants.
🔶 USAGE
This indicator measures the strength of directional price movements, helping traders visualize the strength of both the bullish and bearish market participants.
When prices are moving up with strength, the price structure will not come back to retest previous lows. Therefore, unreached lows keep adding up.
When prices are moving down with strength, they will not retest previous highs; therefore, unreached highs keep adding up.
As we can see on the chart, high readings of unreached highs (red) and low readings of unreached lows (green) are considered bearish, and a downtrend in price confirms this bias. Conversely, high readings of unreached lows and low readings of unreached highs are considered bullish. On the chart, this is reflected as an uptrend.
Additionally, the oscillator can reveal significant breakouts on the chart, with unreached highs or lows decreasing rapidly indicating that a large number of highs/lows have been reached.
Due to the oscillator being normalized, overbought and oversold levels are included.
In this gold chart, we have different examples of how to use the tool in conjunction with price behavior to understand the market. Let's dissect it step by step:
1. Uptrend: Bullish readings are above 80, and bearish readings are below 20. The market is trending up.
2. Range: Mixed readings around 50 for both bullish and bearish; the market is ranging.
3. Uptrend: The same as before. Bullish above 80 and bearish below 20.
4. Pullback: A bullish dip below 80 to 50 and a bearish reading below 20 indicates a pullback.
5. Range: Mixed readings. In this case, it is bullish above and below 80 and bearish above and below 20. The market is ranging.
6. Uptrend: Bullish above 80 and bearish below 20; the market keeps moving up.
7. Pullback: Bullish dips below 80 and bearish rises to 50 indicate a pullback.
8. Uptrend: As before, bullish is above 80 and bearish is below 20; the market is trending up.
This Bitcoin chart shows how to use extreme readings of 0 and 100 to detect potential reversals. When both readings are at extreme opposites, we set the threshold level at 100 and 0 instead of the default levels of 80 and 20 to better identify these areas.
As we can see, extreme readings at points 1 and 5 identify major reversals that lead to a change in trend. Extreme readings at points 2, 3, 4, and 6 identify minor reversals that do not lead to a change in trend.
From the settings panel, traders can adjust the length parameter. A smaller value measures smaller price movements, while a larger value measures larger price movements. A length value of 20 is used by default.
The chart shows how different values affect bullish and bearish measures.
🔶 SETTINGS
Length: Select the maximum number of highs and lows to be used.
🔹 Style
Bullish: Select a color for unreached lows.
Bearish: Select a color for unreached highs.
Top Threshold: Select the top threshold level and color. Enable the Auto feature to choose the default color.
Bottom Threshold: Select the bottom threshold level and color. Enable the Auto feature to choose the default color.
RSI Sigmoid (Saturation)# 📊 RSI Sigmoid (Saturation) Indicator
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## 🎯 What Does This Indicator Do?
This indicator transforms the traditional **RSI (Relative Strength Index)** using a **sigmoid function**, creating a mathematically "saturated" version that provides smoother, more controlled momentum signals.
---
## ✨ Key Features
### 🌊 **Saturation Effect**
Unlike standard RSI which oscillates wildly between 0-100, this version uses a **hyperbolic tangent function** to compress extreme values:
- 🔴 **Extreme readings** (very high/low) are dampened → pushed toward saturation zones (10 & 90)
- 🟡 **Middle range** (30-70) remains responsive and dynamic
- 🟢 **Sharp spikes** are smoothed while maintaining trend direction
### 👁️ **Dual Visualization**
- **🔵 Blue Line**: RSI Sigmoid (Saturated) - Your primary signal
- **🟠 Orange Circles**: Traditional RSI - For comparison
- **🟣 Purple Area**: Difference plot showing transformation intensity
### 🎯 **Smart Signals**
- **▲ Green Triangle**: Buy Signal when RSI Sigmoid crosses **above 50**
- **▼ Red Triangle**: Sell Signal when RSI Sigmoid crosses **below 50**
- **🎨 Background Colors**: Highlight oversold, overbought, and saturation zones
---
## ⚙️ How to Use
### 📐 **RSI Period** (Default: 50)
```
Higher Values (70-100) → Smoother, slower, fewer signals
Lower Values (14-30) → More responsive, more signals, noisier
```
### 🎚️ **Sigmoid Coefficient** (Default: 0.5)
```
Low (0.1-0.2) → Gentle saturation, closer to standard RSI
Medium (0.25) → Balanced transformation
High (0.3-0.5) → Aggressive saturation, strong dampening
```
### 📍 **Oversold/Overbought Levels**
Customize based on your:
- Trading timeframe (1m, 5m, 1h, 1D, etc.)
- Asset volatility
- Trading style (scalping, swing, position)
---
## 🔍 What to Watch For
| Signal | Meaning | Action |
|--------|---------|--------|
| 🟢 **Cross Above 50** | Bullish momentum shift | Consider long positions |
| 🔴 **Cross Below 50** | Bearish momentum shift | Consider short positions |
| ⚡ **Saturation < 10** | Extreme oversold | Potential reversal up |
| 🔥 **Saturation > 90** | Extreme overbought | Potential reversal down |
| 🟣 **Large Difference** | High transformation intensity | Strong momentum dampening |
---
## 💡 Trading Tips
✅ **DO:**
- Use multiple timeframes for confirmation
- Combine with support/resistance levels
- Apply proper risk management (stop-loss, position sizing)
- Backtest settings on your specific asset
- Watch for divergences between price and indicator
❌ **DON'T:**
- Rely solely on this indicator
- Ignore market context and fundamentals
- Over-leverage based on signals
- Use default settings without testing
- Trade without a clear strategy
---
## ⚠️ IMPORTANT DISCLAIMERS
### 🚨 **NOT Financial Advice**
This indicator is provided for **educational and informational purposes only**. It does not constitute financial, investment, or trading advice.
### 🛡️ **Risk Warning**
- ❌ **No guarantee of profits** - Past performance ≠ future results
- ❌ **Do not rely on this alone** - Always use multiple analysis methods
- ❌ **Markets are unpredictable** - No indicator can predict with certainty
- ❌ **You can lose money** - Never risk more than you can afford to lose
### 🎛️ **Customization Required**
All settings are **user-configurable** for a reason:
- Default values may NOT suit your strategy
- Different assets require different parameters
- Always backtest before live trading
- Adjust based on your timeframe and risk tolerance
### 📜 **Your Responsibility**
- ✓ You are responsible for your own trading decisions
- ✓ Always do your own research (DYOR)
- ✓ Understand the risks before trading
- ✓ Consider consulting a licensed financial advisor
---
## 📋 Quick Settings Guide
| Trading Style | RSI Period | Sigmoid K | Notes |
|---------------|------------|-----------|-------|
| **Scalping** | 14-21 | 0.3-0.4 | Fast signals, higher noise |
| **Day Trading** | 30-50 | 0.4-0.5 | Balanced responsiveness |
| **Swing Trading** | 50-70 | 0.5 | Smoother, fewer false signals |
| **Position Trading** | 70-100 | 0.5 | Very smooth, major trends only |
---
## 🏷️ License & Liability
**Use at your own risk.** The creator assumes **no liability** for any trading losses, damages, or consequences resulting from the use of this indicator.
---
### 🤝 Happy Trading & Stay Safe! 📈
*Remember: The best indicator is your own knowledge and discipline.*
Smart Money Flow Signals [QuantAlgo]🟢 Overview
The Smart Money Flow Signals indicator synthesizes significant volume-price dynamics through multi-component analysis to identify potential accumulation and distribution phases driven by substantial market participants. It combines Money Flow Index momentum, Chaikin Money Flow accumulation patterns, volume-weighted price momentum, and buying/selling pressure metrics into a unified composite oscillator that quantifies periods of concentrated capital movement, helping traders and investors identify conditions where significant volume participants may be actively positioning across multiple market conditions and timeframes.
🟢 How It Works
The indicator's core methodology lies in its weighted composite approach, where multiple volume-price components are calculated sequentially and then integrated to create a comprehensive significant flow activity signal.
First, the Money Flow Index (MFI) is calculated to measure buying and selling pressure by incorporating volume into price momentum analysis:
raw_money_flow = source * volume
positive_flow = source >= source ? raw_money_flow : 0
negative_flow = source < source ? raw_money_flow : 0
positive_money_flow = math.sum(positive_flow, mfi_period)
negative_money_flow = math.sum(negative_flow, mfi_period)
money_flow_index = 100 - 100 / (1 + positive_money_flow / negative_money_flow)
This creates an RSI-style momentum indicator that tracks whether money (price × volume) is flowing into or out of the asset, with values ranging from 0 to 100 where readings above 50 suggest buying pressure dominance.
Then, Chaikin Money Flow (CMF) is computed to evaluate accumulation and distribution by analyzing where prices close within each bar's range, weighted by volume:
money_flow_multiplier = high != low ? (close - low - (high - close)) / (high - low) : 0
money_flow_volume = money_flow_multiplier * volume
volume_sma = ta.sma(volume, trend_period)
chaikin_money_flow = volume_sma != 0 ? ta.sma(money_flow_volume, trend_period) / volume_sma : 0
Positive CMF values indicate accumulation (closes near the high of the range), while negative values indicate distribution (closes near the low of the range), with volume weighting emphasizing periods of significant participation.
Next, Volume Analysis is performed to quantify current volume intensity relative to historical averages:
volume_average = ta.sma(volume, trend_period)
volume_strength = volume_average != 0 ? volume / volume_average : 1
volume_weight = math.log(volume_strength + 1)
The logarithmic transformation creates a volume weight that amplifies signals during high-volume periods while preventing extreme volume spikes from overwhelming the composite calculation.
Following this, Buy/Sell Pressure is quantified by comparing cumulative volume during bullish versus bearish candles:
buying_pressure = math.sum(volume * (close >= open ? 1 : 0), trend_period)
selling_pressure = math.sum(volume * (close < open ? 1 : 0), trend_period)
pressure_ratio = (buying_pressure - selling_pressure) / (buying_pressure + selling_pressure) * 100
This creates a directional pressure ratio that reveals whether significant participants are predominantly buying or selling, expressed as a percentage between -100 (all selling) and +100 (all buying).
Then, Volume-Weighted Momentum is calculated through an exponential smoothing channel that adjusts price deviation based on volume intensity:
exponential_smooth_average = ta.ema(source, momentum_channel_period)
deviation = ta.ema(math.abs(source - exponential_smooth_average), momentum_channel_period)
channel_index = deviation != 0 ? (source - exponential_smooth_average) / (0.015 * deviation) * (1 + volume_weight * 0.5) : 0
This channel index measures how far price has deviated from its exponential average relative to typical deviation, with the volume weight multiplier (1 + volume_weight * 0.5) amplifying the signal when significant volume accompanies the price movement.
Finally, the Composite Wave is constructed by combining all components with specific weighting to create the final oscillator:
momentum_wave = ta.ema(channel_index, trend_period)
money_flow_wave = (money_flow_index - 50) * 1.2
chaikin_flow_wave = chaikin_money_flow * 100
composite_wave = momentum_wave * 0.5 + chaikin_flow_wave * 0.3 + money_flow_wave * 0.2
smoothed_wave = ta.sma(composite_wave, signal_smoothing)
This creates a multi-dimensional volume flow oscillator that combines price-volume momentum, accumulation-distribution patterns, and buying-selling pressure into a single signal, providing traders with probabilistic insights into periods of concentrated market activity and directional bias based on weighted component convergence.
🟢 Signal Interpretation
▶ Positive Values (Above Zero, Green): Composite money flow above equilibrium indicating net accumulation pressure, positive buying volume dominance, and bullish volume-price alignment = Favorable conditions for long positions, significant capital flowing into the asset = Buy/hold opportunities
▶ Negative Values (Below Zero, Red): Composite money flow below equilibrium indicating net distribution pressure, negative selling volume dominance, and bearish volume-price alignment = Unfavorable conditions for long positions, significant capital flowing out of the asset = Sell/short opportunities
▶ Extreme Overbought Zone: Excessive bullish money flow indicating potential accumulation exhaustion, where buying pressure may have reached unsustainable levels with elevated reversal risk = Caution on new longs, potential distribution phase beginning, profit-taking zone for existing positions
▶ Extreme Oversold Zone: Excessive bearish money flow indicating potential distribution exhaustion, where selling pressure may have reached unsustainable levels with elevated reversal risk = Caution on new shorts, potential accumulation phase beginning, buying opportunity zone for contrarian entries
▶ Smoothed Trend Line (White) Alignment: When the smoothed trend line confirms the composite wave direction, it validates the underlying volume-price trend and filters false signals caused by short-term noise
▶ Volume Intensity Correlation: Gradient intensity (color saturation) reflects combined wave strength, volume participation, and directional alignment, where darker/more saturated colors indicate stronger concentrated activity and higher-probability directional moves
🟢 Features
▶ Preconfigured Presets: Three optimized parameter configurations accommodate different trading styles, timeframes, and market analysis approaches.
1. "Default" provides balanced volume flow measurement suitable for swing trading on 4-hour and daily charts, offering moderate responsiveness to money flow shifts with standard RSI-equivalent MFI period and moderate smoothing for most market conditions.
2. "Fast Response" delivers heightened sensitivity optimized for active intraday trading and scalping on 1-minute to 1-hour charts, using compressed calculation periods across all components and minimal smoothing to capture rapid volume flow changes and quick trend shifts as they develop, ideal for early entry/exit opportunities with acceptance of increased signal frequency during consolidation.
3. "Smooth Trend" offers conservative extreme identification ideal for position trading and long-term analysis on daily to weekly charts, employing extended periods across all money flow components with substantial smoothing to filter short-term noise and isolate only strong, sustained accumulation and distribution phases driven by significant volume participants.
▶ Built-in Alerts: Seven alert conditions enable comprehensive automated monitoring of significant money flow transitions and extreme market states.
1. "Bullish Flow" triggers when the composite wave crosses above zero, signaling the shift from distribution to accumulation and concentrated buying activity beginning.
2. "Bearish Flow" activates when the composite wave crosses below zero, signaling the shift from accumulation to distribution and concentrated selling activity starting.
3. "Any Flow Direction Change" provides a combined notification for either bullish or bearish crossover regardless of direction, useful for general money flow momentum shifts.
4. "Extreme Overbought" alerts when the composite wave reaches or exceeds the overbought threshold (default +60), indicating excessive buying pressure and potential exhaustion.
5. "Extreme Oversold" notifies when the composite wave reaches or falls below the oversold threshold (default -60), indicating excessive selling pressure and potential capitulation.
6. "Overbought Reversal" triggers specifically when the wave crosses back down through the overbought level after being extended, signaling the beginning of distribution from extreme levels.
7. "Oversold Reversal" activates when the wave crosses back up through the oversold level after being extended, signaling the beginning of accumulation from extreme levels.
▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast and immediate identification of bullish versus bearish volume flow conditions across various devices and screen sizes. Optional bar coloring provides instant visual context of current significant volume activity intensity and direction without switching between the price pane and indicator pane, enabling traders and investors to immediately assess volume-price positioning dynamics while analyzing price action.
Multi-Signal the FlasherTitle: Multi-Signal Flasher - External Signal Alert System
Short Description: Visual screen flash alerts triggered by external indicator signals. Supports 4 signal sources with separate Long/Short flash colors.
Description:
This indicator provides a powerful visual alert system that flashes your entire chart when external indicator signals fire. Perfect for traders who need unmissable alerts when their custom signals trigger.
Features
4 External Signal Sources - Connect up to 4 different indicators
Long/Short Classification - Assign each signal as Long or Short for different colored flashes
OR Logic - Any enabled signal firing triggers the flash
Customizable Flash Colors - Separate color schemes for Long and Short signals
Adjustable Cycles - Control how many times the colors alternate
On-Screen Message - Displays "LONG SIGNAL!" or "SHORT SIGNAL!" during flash
How It Works
The indicator monitors your selected external signal sources. The trigger fires when a signal transitions from no value to a value >= 1, the chart flashes with alternating colors to grab your attention.
Signals set to Long → Flash with Long colors (default: green/purple)
Signals set to Short → Flash with Short colors (default: red/yellow)
Setup
Add your signal indicators to the chart first
Add this indicator
In settings, enable Signal 1-4 as needed
Select each signal's plot from the dropdown
Set each signal as Long or Short
Check "Enable the Flasher" to arm the system
Customize colors and messages to your preference
Important Notes
⚠️ Seizure Warning - This indicator flashes colors rapidly. User discretion is advised for those with photosensitive epilepsy.
Flashes only occur in real-time - historical bars will not trigger flashes
The trigger fires when a signal transitions from no value to a value >= 1. not while signal persists
Color cycling depends on feed updates
Use Cases
Multi-indicator confluence alerts
Separate long/short signal systems
High-visibility scalping alerts
Any system where missing a signal is costly
Credits:
Original "the Flasher" code by @allanster
Core flash function and table-based color cycling system
Modified by @m4ybee
Multi-signal source support (4 inputs)
External indicator integration via input.source()
Long/Short signal classification
OR logic signal combining
Separate color schemes for Long/Short
Neeson Crypto Cycle - Super Enhanced EditionThe "Neeson Crypto Cycle - Super Enhanced Edition": A Philosophical and Practical Framework for Market Analysis
Originality & Core Philosophy
Most trading indicators focus on a single domain: pure price action, a specific economic theory, or a handful of technical oscillators. The "Neeson Crypto Cycle" breaks this paradigm. Its fundamental originality lies not in inventing one new mathematical formula, but in architecting a multi-dimensional, multi-timeframe convergence framework. It operates on a core philosophical premise: financial markets are Complex Adaptive Systems (CAS) influenced by a symphony of concurrent cycles. These cycles range from mathematical and technical ones visible on the chart, to fundamental economic rhythms, down to collective human psychology and even speculative meta-patterns.
The script is built as a "dashboard of dashboards," attempting to quantify and visualize these disparate layers on a single pane. It does not claim predictive certainty but aims to provide a holistic situational awareness, allowing the trader to identify when multiple, unrelated cycles from different domains align (convergence) or conflict (divergence).
What It Does & How It Achieves It
The indicator functions as a comprehensive market-phase and sentiment analysis engine implemented directly on the TradingView chart. It is an overlay indicator that provides visual plots, background coloring, signal labels, and, most notably, extensive multi-table data panels.
Its implementation can be broken down into several operational layers:
1. The Core Technical Cycle Layer:
This is the foundational price-based engine. It simultaneously tracks multiple proprietary cyclical models derived from moving average crossovers with non-standard periods believed to capture crypto-specific rhythms.
CCT Pi Cycle: Uses the interaction between a 150-period EMA / 471-period SMA pair (for "bottom" identification) and a 111-period SMA / (350-period SMA * 2) pair (for "top" identification). It identifies golden/death crosses within these specific pairs.
Atlantean Signals: A variant using similar periods (471, 150, 350, 111) but with different multipliers (e.g., 0.745) and crossover logic to define "Market Bottom," "Bull Market Start," and "Market Top" events.
Bitcoin Cycle: Based on the interaction between a 116-period SMA and a doubled 365-period SMA.
Golden Pi Cycle: Another variant using SMAs of 111, 350, 150, and 471 periods.
These are not just four random moving average systems; they are distinct models targeting different aspects of the purported "Pi-based" and long-term cyclicality in Bitcoin's price history. The script visually plots these lines and labels their crossover events.
2. The Market Phase & Structural Context Layer:
Background Coloring: It dynamically colors the chart background (blue for "Bottom to Top" phase, orange for "Top to Bottom" phase) based on the sequential logic of Atlantean signals, providing immediate visual context for the perceived market regime.
Halving Event Annotations: It marks key historical and projected Bitcoin halving dates with vertical lines and labels, anchoring price action to this fundamental supply schedule.
3. The Quantitative Dashboard Layer (Technical & On-Chain):
This is where the script transitions from chart plotting to an information system. It renders multiple fixed tables on the chart (bottom-left, bottom-center, bottom-right) only on the last bar.
Technical Sentiment Dashboard (Right): A massive table aggregating over a dozen classic and advanced technical indicators (RSI, MACD, Bollinger Bands, Stochastic, ADX, Ichimoku, Parabolic SAR, Fibonacci levels, etc.). For each, it shows a calculated Status (e.g., "Overbought"), a numeric Value, and a concise Advice (e.g., "Sell"). It then groups these into "Cycle Indicators" (status of the core models above) and "Risk Management" metrics (Max Drawdown, Sharpe Ratio simulation, volatility).
Synthetic On-Chain Metrics Dashboard (Center): Since TradingView cannot pull real on-chain data, the script ingeniously simulates 80 different on-chain metrics (NVT, MVRV, Hash Rate, Exchange Flows, HODL Waves, S2F, etc.) by deriving them from price and volume data. Each metric displays a name, a simulated value, a signal ("Overvalued"), and a color code. This provides a proxy for the fundamental/network health narrative.
Multi-Cycle Systems Dashboard (Left): This table transcends traditional finance, cataloging the status of various long-wave cycles:
Economic Cycles: Kondratieff (50-60yr), Kuznets (15-25yr), Juglar (7-11yr), Kitchin (3-5yr), etc., each with a hardcoded current phase (e.g., "Recession (2020-2030)"), impact, and advice.
Speculative & Novel Cycles: Lunar, Seasonal, Commodity Super, Debt, and Innovation cycles.
Esoteric Systems: A full celestial (astrological) positioning of planets and a Four Pillars of Destiny (Bazi) reading, each with assigned market "impact" and "advice."
4. The Synthesis & Alert Layer:
Comprehensive Statistics: The right dashboard concludes with a tally of "Bullish vs. Bearish Signals" from across all technical and cycle indicators, generating an "Overall Sentiment" score.
Alert System: It creates TradingView alert conditions for every major crossover event from the core cycle models (CCT, Atlantean, Bitcoin, Golden Pi), allowing for automated notifications.
Underlying Calculation Logic & Rationale
The logic is built on convergence and weighted evidence. The creator's hypothesis appears to be that significant market turning points are rarely signaled by one indicator in isolation. Instead, they occur when:
Multiple Price-Based Cycle Models Align: When the CCT, Atlantean, and Bitcoin cycles all approach a "bottom" or "top" signal near the same time, the probability of a true phase change is considered higher.
Technical Conditions Match the Cycle Phase: A "Bull Market Start" signal is more credible if accompanied by oversold RSI/Stochastic, bullish MACD, and money flowing in (rising OBV).
The Macro Backdrop Supports the Narrative: The script hardcodes a specific macroeconomic worldview (e.g., "Tightening Credit Cycle," "AI Revolution Tech Cycle") to remind the user of the broader environment the price cycles are operating within.
Awareness of "Non-Rational" Drivers: By including astrological and Bazi elements, the script acknowledges that market narratives and crowd psychology can sometimes be influenced by or framed within these non-traditional systems. It doesn't necessarily predict with them but tracks them as potential sentiment catalysts.
The calculations for technical indicators are standard. The novelty is in their collective presentation and the synthetic creation of supporting data realms (on-chain, economic, esoteric) to form a complete, albeit highly speculative, "universe" of market-influencing factors.
How to Use It: A Practical Guide
This is not a "set and forget" system that generates simple buy/sell arrows. It is a decision-support and research tool.
Market Phase Identification: First, look at the background color and the status of the core cycle models in the right dashboard. Are you in a blue "Bottom to Top" phase? Check if the Atlantean "Bull Market Start" is active. This sets your primary bias.
Seeking Convergent Signals: Before acting on a cycle signal, cross-reference it with the Technical Sentiment dashboard. For example, an Atlantean "Market Top" signal is stronger if the RSI and Stochastic also show "Overbought," the MACD is "Bearish," and the Fear & Greed Index is in "Extreme Greed." Look for clusters of agreement.
Context from Other Dimensions: Check the On-Chain dashboard. Does the synthetic data suggest the network is "Overheated" or "Undervalued"? Check the Economic Cycle table. Does the perceived long-wave phase (e.g., "Kondratieff Recession") support a risk-on or risk-off stance? This provides narrative context for your trade thesis.
Risk Management Integration: Before sizing a position, check the Risk Management section. What is the current "Max Drawdown" and "Volatility Risk"? The dashboard suggests position sizing ("Light," "Medium," "Heavy") based on this.
Utilizing Alerts: Set alerts for the key cycle crossovers (CCT, Atlantean, etc.). When an alert triggers, it's your cue to open the chart and perform the full multi-dimensional convergence analysis described above, rather than acting on the alert alone.
In essence, the "Neeson Crypto Cycle" is a conceptual trading terminal. It posits that the modern trader, especially in crypto, must synthesize information from technicals, fundamentals, macroeconomics, and market psychology. By attempting to model all these facets in one place—even through estimation and simulation—it aims to give the user a structured framework for asking the right questions about the current state of the market, rather than providing simplistic, one-dimensional answers. Its value is in the breadth of its perspective and the discipline of multi-factor confirmation it encourages.
Hodrick-Prescott Structural CycleThis script is about solving one specific problem: Decomposition.
In any market, you have two things happening at once: the underlying "Trend" (the structural value) and the "Cycle" (the noise or volatility around that value). The Hodrick-Prescott (HP) filter is the standard econometric tool to separate them.
1. The Separation Logic (HP Filter)
Most moving averages lag. The HP filter attempts to find a smooth curve that represents the long-term path of the asset, minimizing the variance of the cycle.
In the code, the "stiffness" of this curve is controlled by Lambda ().
get_auto_lambda() =>
timeframe.isintraday ? 6250000 :
timeframe.isdaily ? 129600 :
1600
1600 is the standard used by economists for quarterly data. If the timeframe changes (daily or intraday), it automatically scales Lambda up to maintain that same "quarterly" smoothness on a faster chart.
2. The Mechanics (2-Pole Recursion)
The classic HP filter looks at future data, which is impossible for live trading. We uses a 2-Pole Super Smoother to approximate that curve using only past data.
hp_filter_2pole(src, period) =>
// ... coefficients calculated ...
var float filt = 0.0
filt := c1 * (src + nz(src )) / 2 + c2 * nz(filt ) + c3 * nz(filt )
See the filt and filt -> that's recursion. The filter references its own previous output. This creates memory, allowing the line to resist sudden spikes in price (noise) while slowly adapting to the true direction.
3. The Four Market Regimes
This script splits the market into four distinct quadrants based on where the Z-Score is and where it is going.
bool is_expansion = z_score > 0 and z_score > z_score
bool is_downturn = z_score > 0 and z_score < z_score
bool is_recovery = z_score < 0 and z_score > z_score
bool is_recession = z_score < 0 and z_score < z_score
1. Expansion (Green): We are above the trend, and momentum is accelerating.
2. Downturn (Orange): We are above the trend, but momentum is slowing (topping out).
3. Recession (Red): We are below the trend, and price is collapsing.
4. Recovery (Blue): We are below the trend, but price has stopped falling and is turning up.
The Background Zones: Statistical Extremes
This script monitors the Z-Score (the normalized cycle). When this score moves beyond 1.0 standard deviation from the mean (zero), the background lights up.
Red Background (Recession Zone): The Z-Score is < -1.0. Price is significantly below its structural trend. This is where fear is highest, and the asset is statistically "underwater."
Green Background (Overheating Zone): The Z-Score is > 1.0. Price is stretching far above the trend.
Why it matters: Markets rarely stay beyond 2.0 standard deviations for long. When you see the background colored, you are in an outlier event. (The rubber band is stretched)
Divergences: The "Check Engine" Light
It also scans for discrepancies between Price Action and the Cycle Momentum (Z-Score).
Bullish Divergence: Price makes a Lower Low, but the Cycle makes a Higher Low. The sellers are pushing price down, but with less conviction than before.
Bearish Divergence: Price makes a Higher High, but the Cycle makes a Lower High. Buyers are exhausted.
How to use this:
Do not treat a divergence tag as an entry signal.
A divergence is a state of discrepancy, not a timing trigger. It tells you that the prevailing trend is running out of steam.
FX Momentum Breakout Detector# FX Momentum Breakout Strategy
A TradingView Pine Script indicator that detects momentum breakouts in forex pairs and automatically executes trades via SignalStack integration. The strategy uses EMA crossovers, swing structure breaks, and Fibonacci retracement levels for entry, stop loss, and take profit placement.
## Overview
This strategy identifies bullish and bearish momentum breakouts by combining:
- **EMA (Exponential Moving Average)** for trend direction
- **Swing High/Low** structure breaks for entry signals
- **Fibonacci retracement levels** for stop loss and take profit
- **Volume and time filters** to improve signal quality
- **Dynamic position sizing** based on Fibonacci stop distance and risk percentage
### Key Features
- ✅ **Automated Order Execution**: Direct integration with SignalStack for hands-free trading
- ✅ **Risk-Based Position Sizing**: Automatically calculates lot size based on stop distance and account risk
- ✅ **Fibonacci-Based TP/SL**: Uses Fibonacci 0.5 levels for take profit and stop loss
- ✅ **Time Window Filter**: Only trades during active market hours (7AM-7PM Japan Time)
- ✅ **Volume Filter**: Requires volume above 10-day moving average
- ✅ **Single Alert System**: One alert handles both long and short signals
## Strategy Logic
### Entry Conditions
**Long (Buy) Signal:**
- Price crosses above EMA 20, OR
- Price breaks above swing high structure
- AND: Minimum 3 consecutive bull bars (strong momentum)
- AND: Price is above EMA 20 (if EMA filter enabled)
- AND: Volume is above 10-day MA
- AND: Time is within 7AM-7PM JST window
**Short (Sell) Signal:**
- Price crosses below EMA 20, OR
- Price breaks below swing low structure
- AND: Minimum 3 consecutive bear bars (strong momentum)
- AND: Price is below EMA 20 (if EMA filter enabled)
- AND: Volume is above 10-day MA
- AND: Time is within 7AM-7PM JST window
### Stop Loss & Take Profit
- **Long Positions:**
- Take Profit: Fibonacci 0.5 level above entry (`fib_up_0_5`)
- Stop Loss: Fibonacci 0.5 level below entry (`fib_dn_0_5`)
- **Short Positions:**
- Take Profit: Fibonacci 0.5 level below entry (`fib_dn_0_5`)
- Stop Loss: Fibonacci 0.5 level above entry (`fib_up_0_5`)
### Position Sizing
Position size is calculated dynamically based on:
1. **Account Balance**: Your account size in USD (default: $125,000)
2. **Risk Percentage**: Risk per trade (default: 1.0%)
3. **Stop Loss Distance**: Distance from entry to Fibonacci stop level (in pips)
**Formula:**
```
Risk in Dollars = Account Balance × (Risk % / 100)
Stop Loss (pips) = |Entry Price - Stop Loss Price| / Pip Size
Position Size (lots) = Risk $ / (Stop Loss (pips) × $10 per pip per lot)
```
The strategy rounds to 0.01 lot increments (micro lots) for precise position sizing.
## Setup Instructions
### Prerequisites
1. **TradingView Account**: Pro plan or higher (required for webhook alerts)
2. **SignalStack Account**: Active account with connected broker (e.g., OANDA)
3. **SignalStack Webhook URL**: Get this from your SignalStack dashboard
### Step 1: Add Strategy to TradingView
1. Open TradingView and navigate to your chart
2. Click "Pine Editor" (bottom panel)
3. Copy the code from `v2.0_fx_breakout_strategy.md`
4. Paste into Pine Editor
5. Click "Save" and then "Add to Chart"
### Step 2: Configure Strategy Inputs
In the strategy settings panel, configure:
**Technical Parameters:**
- **EMA Length**: Default 20 (trend filter)
- **Swing High/Low Lookback**: Default 7 bars
- **Min Consecutive Bull/Bear Bars**: Default 3 (momentum requirement)
- **Require EMA Filter**: Default `true` (price must be on correct side of EMA)
**Risk Management:**
- **Account Balance (USD)**: Your account size (default: 125,000)
- **Risk Per Trade (%)**: Risk percentage per trade (default: 1.0%)
- **ATR Length**: Default 14 (for informational ATR display)
**Filters:**
- **Volume MA Length**: Default 10 (volume filter period)
- **Enable Webhook Alerts**: Set to `true` for automated trading
- **Alert Frequency**: `once_per_bar_close` (recommended)
- **Asset Label**: Leave empty to use chart symbol, or override if needed
### Step 3: Create TradingView Alert
1. Click the "Alerts" icon (bell) at the top of the chart, or press `Alt+A` (Windows) / `Option+A` (Mac)
2. Click "Create Alert" or the "+" button
3. Select the chart with your strategy
**Alert Configuration:**
**Condition Tab:**
- **Condition**: Select "FX Momentum Breakout Detector" (your strategy name)
- **Trigger**: "Once Per Bar Close" (matches strategy setting)
- **Expiration**: Set as needed (or leave unlimited)
**Notifications Tab:**
- **Webhook URL**: Paste your SignalStack webhook URL
- **Message**: Leave as default (strategy generates JSON automatically)
4. Save the alert with a descriptive name (e.g., "EURUSD Breakout SignalStack")
### Step 4: Verify SignalStack Connection
1. Check your SignalStack dashboard for incoming webhooks
2. Verify the broker connection is active
3. Test with a paper trading account first
For detailed SignalStack setup, see (./SIGNALSTACK_SETUP.md).
## Webhook Payload Format
The strategy sends a JSON payload in SignalStack format. Primary fields:
```json
{
"symbol": "EURUSD",
"action": "buy",
"quantity": 2.78,
"take_profit": 1.0895,
"stop_loss": 1.0805,
"ticker": "EURUSD",
"ticker_id": "OANDA:EURUSD",
"base": "EUR",
"quote": "USD",
"timeframe": "15",
"price": 1.0850,
"ema20": 1.0820,
"range": 0.0050,
"breakout_price": 1.0850,
"fib_up_0_5": 1.0895,
"fib_dn_0_5": 1.0805,
"atr_pips": 25.0,
"stop_loss_pips": 45.0,
"position_size_lots": 2.78,
"risk_dollars": 1250.0,
"signal": "bullish momentum breakout",
"bar_time": "2024-01-15T10:30:00"
}
```
**SignalStack Required Fields:**
- `symbol`: Trading symbol
- `action`: "buy" or "sell"
- `quantity`: Position size in lots
- `take_profit`: Take profit price
- `stop_loss`: Stop loss price
## Testing
Use the included test script to verify webhook integration:
```bash
# Test both Discord and SignalStack
python test_webhook.py
# Test Discord only
python test_webhook.py --discord
# Test SignalStack only
python test_webhook.py --signalstack
```
The test script sends sample payloads matching the strategy format and verifies webhook delivery.
## Configuration Examples
### Conservative Setup (Lower Risk)
- Account Balance: 125,000 USD
- Risk Per Trade: 0.5%
- EMA Length: 20
- Min Bull/Bear Bars: 4
- Require EMA Filter: `true`
### Aggressive Setup (Higher Risk)
- Account Balance: 125,000 USD
- Risk Per Trade: 2.0%
- EMA Length: 15
- Min Bull/Bear Bars: 2
- Require EMA Filter: `false`
### Multiple Currency Pairs
To trade multiple pairs:
1. Add the strategy to each chart
2. Create a separate alert for each pair
3. Use the same SignalStack webhook URL for all alerts
4. SignalStack routes orders based on the `symbol` field
## Time Window Filter
The strategy only trades during **7AM-7PM Japan Time (JST)**, which corresponds to:
- **UTC**: 22:00 (previous day) to 10:00 (same day)
- This covers the Asian and early European trading sessions
To modify the time window, edit the `timeWindowFilter` calculation in the strategy code.
## Position Sizing Examples
### Example 1: EURUSD Long
- Account Balance: $125,000
- Risk: 1.0% = $1,250
- Entry Price: 1.0850
- Stop Loss (fib_dn_0_5): 1.0805
- Stop Distance: 45 pips
- Position Size: $1,250 / (45 pips × $10) = **2.78 lots**
### Example 2: GBPUSD Short
- Account Balance: $125,000
- Risk: 1.0% = $1,250
- Entry Price: 1.2650
- Stop Loss (fib_up_0_5): 1.2700
- Stop Distance: 50 pips
- Position Size: $1,250 / (50 pips × $10) = **2.50 lots**
## Troubleshooting
### Alert Not Triggering
1. **Check Strategy Settings:**
- Ensure "Enable Webhook Alerts" is `true`
- Verify time window (7AM-7PM JST)
- Check volume filter (must be above 10-day MA)
2. **Check Alert Settings:**
- Verify webhook URL is correct
- Ensure alert is active (not expired)
- Check alert frequency matches strategy setting
### Webhook Not Received by SignalStack
1. **Verify URL:**
- Check SignalStack dashboard for correct webhook URL
- Ensure URL is complete (no truncation)
2. **Check Payload Format:**
- SignalStack expects `symbol`, `action`, `quantity`, `take_profit`, `stop_loss`
- Verify these fields are present in the payload
3. **Test Webhook:**
- Use TradingView's "Test Alert" feature
- Check SignalStack logs for incoming requests
- Run `test_webhook.py` to verify format
### OANDA Authentication Error
If you receive a 401 Unauthorized error:
1. **Check OANDA API Token Permissions:**
- Log in to OANDA
- Go to "My Account" > "My Services" > "Manage API Access"
- Ensure token has **Trading** permissions (not just read-only)
2. **Update SignalStack Configuration:**
- Go to SignalStack dashboard
- Navigate to OANDA broker connection settings
- Update API token with a token that has trading permissions
- Verify account ID matches your OANDA account
For detailed troubleshooting, see (./SIGNALSTACK_SETUP.md).
### Position Size Issues
1. **Check Account Balance Input:**
- Verify account balance matches your actual account size
- Ensure risk percentage is appropriate (1% recommended)
2. **Verify Stop Loss Calculation:**
- Stop loss is based on Fibonacci 0.5 level
- Position size automatically adjusts to maintain risk percentage
- Check that pip size is correct for your currency pair
## Files
- **v2.0_fx_breakout_strategy.md**: Pine Script strategy code
- **test_webhook.py**: Python test script for webhook validation
- **SIGNALSTACK_SETUP.md**: Detailed SignalStack configuration guide
- **design.md**: Strategy design notes and considerations
## Risk Disclaimer
⚠️ **Trading forex involves substantial risk of loss. This strategy is provided for educational purposes only.**
- Always test with paper trading before using real funds
- Past performance does not guarantee future results
- Use appropriate risk management (1-2% risk per trade recommended)
- Monitor positions and adjust stop losses as needed
- This strategy does not guarantee profits
## Support
- **SignalStack Documentation**: Check SignalStack's official docs for webhook requirements
- **TradingView Support**: For alert/webhook issues in TradingView
- **Strategy Issues**: Review the strategy code comments for configuration options
## License
This strategy is provided as-is for personal use. Modify and adapt as needed for your trading requirements.
ICT Silver Bullet BoxesOverview
This Pine Script v6 indicator is a streamlined tool designed for ICT (Inner Circle Trader) students, specifically optimized for traders in the Dhaka (GMT+6) time zone. It automates the drawing of high-probability liquidity zones based on the Asian Range and the Silver Bullet algorithm windows.
Unlike standard session highlights, this script focuses on the price action boundaries (Highs and Lows) within these specific windows to help you identify liquidity pools and potential "Judas Swing" targets.
Key Features
Asian Range (Liquidity Phase): Automatically marks the high and low of the 7:00 PM – 12:00 AM NY window (6:00 AM – 11:00 AM Dhaka). This box represents the day's initial consolidation where buy-side and sell-side liquidity is engineered.
Silver Bullet Windows: Highlights the two most critical 60-minute windows:
London Silver Bullet: 3:00 AM – 4:00 AM NY (2:00 PM – 3:00 PM Dhaka)
NY AM Silver Bullet: 10:00 AM – 11:00 AM NY (9:00 PM – 10:00 PM Dhaka)
Automatic DST Adjustment: The script uses the America/New_York timezone internally. This means the boxes will automatically shift correctly when New York enters Daylight Saving Time, keeping your Dhaka chart accurate year-round.
Clean Visuals: Instead of coloring the entire background, the script draws precise boxes around the price action High/Low of each session for a clutter-free experience.
How to Use
Mark Liquidity: Use the Asian Range Box to identify where the "stops" are resting.
Anticipate the Sweep: During the London or NY Open, look for price to raid the Asian High or Low.
Execute the Bullet: Within the Silver Bullet boxes, look for a Market Structure Shift (MSS) and a Fair Value Gap (FVG) for your entry.
Settings
Custom Colors: Fully customizable colors and opacity for both London and New York sessions.
Borders: Toggle borders on/off to match your chart theme.
SuperTrend - With Exits & Trade ZonesSuperTrend - With Exits & Trade Zones
Overview
An advanced trend-following indicator that combines pivot points with the SuperTrend methodology to create a complete trading system with entry signals, exit signals, and visual trade zones. This indicator adapts to market structure rather than just price action, providing more reliable trend identification.
What Makes This Unique
Unlike standard SuperTrend indicators that use moving averages, this version:
Uses actual pivot points to calculate a dynamic center line
Provides multiple entry mode options for different trading styles
Shows clear exit signals (both trailing stop and take profit)
Color-codes the entire chart into trade zones (Long, Short, No Trade)
Eliminates guesswork about when to enter, exit, and stay out
Features
📊 Core Indicator Components
Pivot Point Detection: Identifies local highs and lows in price structure
Dynamic Center Line: Weighted calculation using detected pivot points
ATR-Based Bands: Volatility-adjusted upper and lower bands
Trailing Stop Line: Adaptive stop-loss that follows the trend
🎯 Entry Signals
Four entry modes to match your trading style:
Immediate Mode ⚡
Signals right when the trailing stop breaks
Fastest entries for aggressive traders
Best for strong trending markets
Aggressive Mode 🔥 (Recommended)
Signals when price closes beyond break candle OR opens beyond it
Balanced speed and confirmation
Good for most market conditions
Balanced Mode ⚖️
Requires entire candle to close beyond break level
Moderate confirmation
Reduces false breakouts
Conservative Mode 🛡️
Waits for candle to open AND stay completely beyond break level
Highest confirmation, slowest entries
Best for choppy markets
🚪 Exit Signals
Three exit strategies:
Trailing Stop
Exits when price crosses back through the trailing stop line
Lets profits run in trending markets
Protects gains when trend weakens
Take Profit %
Exits at predetermined profit target
Locks in gains at specific percentage
Good for range-bound markets
Both
Uses whichever exit comes first
Combines profit protection with trend following
Recommended for most traders
🎨 Visual Trade Zones
Color-coded backgrounds eliminate confusion:
🟢 Light Green: Active LONG position
🔴 Light Red: Active SHORT position
⚫ Gray: NO TRADE ZONE (between exit and next signal)
📍 Additional Visual Elements
Diamond markers: Show when trailing stop is first broken
BUY/SELL labels: Clear entry signals in green/red
EXIT markers: Gray X for stop loss, Orange X (TP) for take profit
Pivot points: Optional display of detected highs/lows (H/L markers)
Support/Resistance: Optional circles at pivot levels
Settings & Parameters
Basic Settings
Pivot Point Period (default: 2)
Controls sensitivity of pivot detection
Lower = more pivots detected (more responsive)
Higher = fewer pivots (more stable)
ATR Factor (default: 3)
Distance multiplier for trailing stop bands
Lower = tighter stops (more signals, earlier exits)
Higher = wider stops (fewer signals, longer trades)
ATR Period (default: 10)
Lookback period for volatility calculation
Affects how quickly bands adapt to volatility changes
Entry Configuration
Entry Mode: Select from Immediate/Aggressive/Balanced/Conservative
Determines how quickly the indicator generates signals after a trend break
Exit Configuration
Exit Method: Choose Trailing Stop, Take Profit %, or Both
Take Profit % (default: 2%)
Set your profit target as percentage of entry price
Adjust based on volatility and timeframe
Display Options
Show Buy/Sell Labels: Toggle entry signal labels
Show Exit Signals: Toggle exit markers
Show Break Candles: Toggle diamond markers on trend breaks
Show Pivot Points: Display H/L markers at pivot points
Show PP Center Line: Display the dynamic center line
Show Support/Resistance: Display circles at S/R levels
How to Use
For Swing Traders
Set Entry Mode to "Balanced" or "Conservative"
Use "Both" exit method with 3-5% take profit
Enable all visual elements for complete market picture
Trade only in direction of colored zones
For Day Traders
Set Entry Mode to "Aggressive" or "Immediate"
Use "Trailing Stop" exit method to catch intraday trends
Lower ATR Factor to 2-2.5 for tighter stops
Watch for quick signals in the first 2 hours of trading
For Position Traders
Use higher timeframes (Daily/Weekly)
Set Entry Mode to "Conservative"
Increase Take Profit % to 5-10%
Use larger ATR Factor (4-5) for wider stops
General Trading Rules
✅ DO: Enter on BUY/SELL signals (green/red backgrounds)
✅ DO: Exit on EXIT/TP markers
❌ DON'T: Enter during gray NO TRADE ZONE
❌ DON'T: Counter-trend trade against the colored zone
Alerts
Set up the following alerts for automated trading notifications:
Buy Signal: Triggers when long entry conditions are met
Sell Signal: Triggers when short entry conditions are met
Exit Long: Triggers when long position should be closed
Exit Short: Triggers when short position should be closed
Trailing Stop Broken: Triggers on initial trend change
Best Practices
Timeframe Selection
1-5 min: Scalping (use Immediate/Aggressive mode)
15-60 min: Day trading (use Aggressive/Balanced mode)
4H-Daily: Swing trading (use Balanced/Conservative mode)
Weekly: Position trading (use Conservative mode)
Risk Management
Always use the EXIT signals - don't hold through gray zones
Position size based on distance to trailing stop
Never risk more than 1-2% per trade
Consider wider stops on higher timeframes
Market Conditions
Trending markets: Use Aggressive mode, Trailing Stop exits
Ranging markets: Use Conservative mode, Take Profit exits
High volatility: Increase ATR Factor, use Both exits
Low volatility: Decrease ATR Factor for tighter stops
Technical Details
Calculation Method
Detect pivot highs and lows using specified period
Calculate weighted center line: (previous_center × 2 + new_pivot) / 3
Calculate bands: Upper = Center - (ATR Factor × ATR), Lower = Center + (ATR Factor × ATR)
Determine trend based on price position relative to bands
Trail stop line follows the active trend direction
Signal Logic
Entry signals generated based on selected confirmation mode
Position tracking maintains state from entry to exit
Exit signals calculated from both trailing stop and take profit levels
Trade zones update in real-time based on position state
Limitations & Considerations
Works best in trending markets; may generate false signals in tight ranges
Not a holy grail - should be used with proper risk management
Past performance does not guarantee future results
Recommended to backtest on your specific instrument and timeframe
Consider combining with volume analysis or other indicators for confirmation
Version History
v1.0: Initial release with entry signals and confirmation modes
v1.1: Added exit signals (trailing stop and take profit)
v1.2: Added color-coded trade zones (Long/Short/No Trade)
Credits
Original Pivot Point SuperTrend concept by LonesomeTheBlue
Modified with exit signals and trade zone visualization
License
Mozilla Public License 2.0
Example Setups
Conservative Swing Trading
Pivot Point Period: 2
ATR Factor: 3
ATR Period: 10
Entry Mode: Conservative
Exit Method: Both
Take Profit %: 4%
Aggressive Day Trading
Pivot Point Period: 2
ATR Factor: 2.5
ATR Period: 10
Entry Mode: Aggressive
Exit Method: Trailing Stop
Position Trading
Pivot Point Period: 3
ATR Factor: 4
ATR Period: 14
Entry Mode: Balanced
Exit Method: Both
Take Profit %: 8%
Disclaimer: This indicator is for educational purposes only. Trading involves substantial risk. Always do your own research and never trade with money you cannot afford to lose.
Neeson Volatility Adaptive Tracker ProVolatility Adaptive Tracker Pro: A Comprehensive Multi-Method Trading System
Executive Summary
The Volatility Adaptive Tracker Pro (VAT Pro) represents a sophisticated fusion of proven technical analysis methodologies with innovative adaptations, creating a unique multi-signal trading system. Unlike single-purpose indicators, VAT Pro combines multiple analytical approaches into a unified framework that addresses the complex realities of modern financial markets. This system is designed for traders who recognize that no single method consistently outperforms, and that market conditions require adaptive, multi-faceted approaches.
Original Innovations: What Sets VAT Pro Apart
1. Hybrid Volatility Measurement System
Most volatility indicators fall into two categories: those based on standard deviation (like Bollinger Bands) or those based on average true range (ATR). VAT Pro introduces a third approach: a weighted volatility measurement system that gives greater importance to recent price movements while maintaining sensitivity to overall market conditions. This creates a dynamic volatility assessment that adapts more responsively to changing market environments than conventional methods.
2. Dual-Layer Signal Architecture
While most indicators generate single-type signals, VAT Pro implements a tiered signaling system that distinguishes between:
Primary trend-following signals (based on price crossing adaptive volatility bands)
Secondary volume-confirmed signals (requiring both price movement and exceptional volume)
This dual-layer approach recognizes that not all market moves have equal significance, and that volume confirmation often signals more substantial moves worthy of special attention.
3. State-Based Logic with Memory
Conventional indicators typically generate signals independently on each bar. VAT Pro introduces persistent state tracking that maintains awareness of whether the market is currently in a bullish, bearish, or neutral condition. This prevents signal redundancy, reduces false signals, and provides valuable context for interpreting current market conditions.
What VAT Pro Does: Comprehensive Market Analysis
Primary Functions
Trend Identification: Detects transitions between bullish and bearish market conditions using multiple confirmation criteria.
Volume Analysis: Identifies exceptional trading activity that often precedes or confirms significant price movements.
Volatility Assessment: Continuously measures market volatility and adjusts sensitivity parameters accordingly.
Visual Context Provision: Uses color-coded price bars, trend lines, and clear signal markers to provide immediate visual feedback.
Multi-Timeframe Compatibility: Functions effectively across various trading timeframes from intraday to positional trading.
Implementation Methodology: The Technical Framework
Core Analytical Approaches
Among the hundreds of available technical analysis methods, VAT Pro specifically implements and integrates:
A. Adaptive Volatility Channel System
This approach modifies the traditional volatility channel concept by:
Using weighted moving averages for volatility calculation rather than simple or exponential averages
Implementing asymmetric response to upward versus downward volatility
Maintaining dynamic channel width that adjusts based on recent market conditions
The system falls within the broader category of volatility-adjusted trend following but introduces unique adaptations that improve responsiveness while maintaining stability.
B. Volume-Price Confirmation Method
Within volume analysis, VAT Pro specifically employs:
Threshold-based volume spike detection (volume exceeding moving average by specified multiples)
Price-direction confirmation (requiring price movement in the expected direction)
Contextual filtering (only considering volume signals in specific market conditions)
This represents a specific implementation within the volume confirmation family of methods, distinguished by its customizable thresholds and filtering logic.
C. Trailing Stop with Adaptive Positioning
The system implements a specific variant of trailing stop methodology characterized by:
State-dependent positioning (different logic for trending versus ranging markets)
Volatility-adjusted distance (stop levels adapt to current market conditions)
Memory of previous positions (the system "remembers" previous trend states)
This approach represents an advanced form of trailing stop placement that combines elements of volatility adjustment with trend state awareness.
Calculation Philosophy: The Core Principles
1. Weighted Response Philosophy
VAT Pro operates on the principle that recent market action should have greater influence than distant history, but not to the exclusion of broader context. This is implemented through custom weighting algorithms that balance responsiveness with stability.
2. Multi-Factor Confirmation Principle
The system is built on the premise that multiple confirming factors (price action, volume, volatility) provide more reliable signals than single-factor approaches. This represents a practical implementation of convergence/divergence analysis across different market dimensions.
3. State Transition Logic
Rather than viewing each bar in isolation, VAT Pro analyzes sequences of price action to determine market states and state transitions. This recognizes that markets often move through identifiable phases (accumulation, trending, distribution, ranging) that require different analytical approaches.
4. Adaptive Sensitivity
The system automatically adjusts its sensitivity based on current market volatility, becoming more responsive in low-volatility conditions and more stable in high-volatility environments. This represents a practical implementation of volatility-adjusted trading logic.
Practical Application: How to Use VAT Pro
Initial Setup and Configuration
Parameter Customization: Begin with default settings, then adjust based on:
Your trading instrument's typical volatility characteristics
Your preferred trading timeframe
Your risk tolerance and trading style
Visual Configuration: Customize colors and display settings to match your charting preferences while maintaining clear signal visibility.
Trading Methodology Integration
VAT Pro supports multiple trading approaches:
For Trend Following:
Use primary signals when confirmed by overall market direction
Employ the adaptive line as a dynamic trailing stop
Monitor state transitions for trend continuation or reversal clues
For Breakout Trading:
Watch for high-volume signals at key price levels
Use volatility bands to identify potential breakout ranges
Employ volume confirmation to distinguish genuine breakouts from false moves
For Position Management:
Utilize the color-coded bar system for immediate trend awareness
Monitor multiple signal types for confirmation or warning signs
Adjust position sizes based on signal strength and market state
Signal Interpretation Framework
Primary Signal Interpretation:
Bullish signals suggest potential long opportunities
Bearish signals indicate potential short opportunities
Signal clustering often indicates stronger moves
Volume Signal Significance:
High-volume buy signals often precede sustained upward moves
High-volume sell signals frequently indicate distribution or panic selling
Volume signals without price confirmation require caution
Contextual Analysis:
Consider market state when interpreting signals
Evaluate signal strength based on recent volatility
Monitor multiple timeframes for confirmation
Performance Characteristics and Best Practices
Optimal Market Conditions
VAT Pro performs best in markets exhibiting:
Clear trending characteristics (for trend-following signals)
Occasional volatility expansions (for volume signals)
Reasonable liquidity (for accurate volume analysis)
Risk Management Integration
Use signal strength to adjust position sizing
Employ the adaptive line for stop-loss placement
Consider market state when determining risk levels
Complementary Tools
For best results, combine VAT Pro with:
Support and resistance analysis
Longer-term trend assessment
Fundamental analysis (for longer timeframes)
Market structure analysis
Conclusion: A Modern Multi-Method Approach
The Volatility Adaptive Tracker Pro represents a significant advancement in technical analysis tools by intelligently combining multiple proven methodologies into a coherent, adaptive system. Its original innovations in weighted volatility measurement, dual-layer signaling, and state-based logic address common limitations of conventional indicators while maintaining practical usability.
By specifically implementing adaptive volatility channels, volume-price confirmation, and state-aware trailing stops, VAT Pro provides traders with a comprehensive toolkit that adapts to changing market conditions while maintaining methodological rigor. This multi-method approach recognizes the complex reality of financial markets while providing clear, actionable signals based on sound technical principles.
Whether used as a primary trading system or as a confirming component within a broader strategy, VAT Pro offers sophisticated analytical capabilities in an accessible, visually intuitive format that supports informed trading decisions across various market conditions and timeframes.
Price Probability Engine - Volatility & Structure-Based TargetsThe aim of the indicator is:
To provide adaptive, probability-weighted price target zones that help traders frame where price is most likely to interact next, without predicting when or guaranteeing direction.
Price Probability Engine is a target-projection overlay that blends three independent “next-move” reference methods into a single pair of AVG targets:
AVG Bull = a probabilistic upside objective
AVG Bear = a probabilistic downside objective
It is designed to help you frame the most reasonable near-term price zones using both volatility (ATR) and structure (pivot swings + measured moves) rather than relying on a single indicator.
What you see on the chart
When enabled, the script plots:
AVG Bull line (upper target)
AVG Bear line (lower target)
Optional last-bar labels that print the current target values
The overlay is scale-locked so the plots stay aligned with price when you scroll/zoom the chart.
How it works (conceptual, step-by-step)
1) ATR “reach filter” (probability gating)
All components are first checked against a reach filter:
A target is considered “reachable” only if it is within
Reach Filter × ATR from the current price.
This prevents extremely distant projections from dominating the final average.
2) Three component target engines
The script computes three upside candidates and three downside candidates:
A) ATR Component (volatility projection)
Uses ATR Length and ATR Multiplier
Projects a simple near-term band around price:
atrBull = close + ATR × mult
atrBear = close - ATR × mult
Direction mode:
Candle: compares close to close
Momentum(3): uses close − close
B) AutoFib Component (swing extension)
Detects swing highs/lows using pivot logic (Left/Right bars)
Projects an extension using a selectable Fib level (1.272 / 1.414 / 1.618 / 2.0 / 2.618)
Gives a structure-based target derived from the current swing range
C) Lindsey Component (measured-move target)
Detects a 3-point pivot sequence (P1/P2/P3) and projects a measured move to P4:
Bull: from a low-high-higher-low sequence
Bear: from a high-low-lower-high sequence
Optional P1/P2/P3 markers can be displayed for learning/debugging
3) Dynamic weighting (closer targets matter more)
If Dynamic Weights is enabled, each component’s weight increases as the target gets closer to price (within the reach window).
This means the final AVG tends to favor targets that are both reachable and near-term relevant.
You can control:
Base Weight (Fib / Lindsey / ATR)
Dynamic Power (how aggressively “closer” becomes “heavier”)
4) Outlier trimming (stability)
If Trim Outlier Component is enabled, the script:
computes a simple median reference of the remaining component targets
drops any target that deviates from the median by more than
Outlier Threshold × ATR
This reduces sudden jumps when one method produces an unusually extreme projection.
5) Final output: a weighted average (bull + bear)
The remaining eligible components are combined into:
AVG Bull (weighted average of bull candidates)
AVG Bear (weighted average of bear candidates)
If no components pass the reach filter (or are trimmed), the AVG line can temporarily become unavailable until valid inputs re-appear.
How to use it (practical workflow)
Pick your timeframe, then tune ATR:
Start with ATR Length 14 and ATR Mult 1.0–1.5
Set a reasonable Reach Filter (x ATR):
Smaller = only near targets
Larger = includes more distant projections
Decide how you want it to behave:
Dynamic Weights ON for “closer targets dominate”
Outlier Trim ON for smoother / less erratic averages
Use the AVG lines as planning zones, not certainties:
They are best treated as “where price is most likely to seek next” based on the blend of volatility + structure.
A common use is to monitor how price reacts as it approaches either AVG line (stalling, rejection, acceleration), and then reassess as new pivots/ATR values update.
Settings guide (quick)
ATR Length / Multiplier: controls the volatility envelope
Direction Mode: changes the bias input for ATR projection
Lindsey Left/Right: smaller = more sensitive pivots; larger = fewer, more meaningful pivots
Fib Left/Right + Extension: controls the swing structure target
Reach Filter: controls what qualifies as a realistic near-term target
Dynamic Power: higher = stronger preference for the nearest target
Outlier Threshold: higher = fewer removals; lower = more aggressive trimming
Notes / Transparency
This script does not place trades or guarantee outcomes. It is a visual target framework that adapts as volatility and market structure change. For best clarity, publish charts with this script on a clean layout so the AVG lines and labels are easy to identify.
