Effort v RewardThis is the same as my Effort v Reward script but instead is an overlay that changes the background color rather than using a pane at the bottom. A little less info but more at a glance.
Cari dalam skrip untuk "smart"
Best strategy for TradingView (fake)Hello everyone! I want to show you this strategy so you don't fall for the tricks of scammers. On TradingView, you can write an algorithm (probably more than one) that will show any profit you want: from 1% to 100,000% in one year (maybe more)! This can be done, for example, using the built-in linebreak () function and several conditions for opening long and short.
I am sure that sometimes scammers show up on TradingView showing their incredible strategies. Will a smart person sell a profitable quick strategy? When a lot of people start using the quick strategy, it stops working. Therefore, no smart person would sell you a quick strategy. It is acceptable to sell slow strategies: several transactions per month - this does not greatly affect the market.
So, don't fall for the tricks of scammers, write quick strategies yourself.
About this strategy, I can say that the linebreak () function does not work correctly in it. Accordingly, the lines are not drawn correctly on the chart. They are drawn in such a way as to show the maximum profit. I watched this algorithm on a 1m timeframe - no lines are drawn in real time. This is a fake!
NYSE Volume UP FLOW VS Down FLOW ULTIMATE VOLDNYSE Volume UP FLOW VS Down FLOW ULTIMATE StokedStocks
BASED OFF THE VOLD INDEX
The VOLD (also $VOLD) is the difference between the up volume and down volume on the NYSE. i.e. NYSE $UVOL minus $DVOL; the net up volume.
If you consider that VOLD is the net value between UVOL (up volume) and DVOL (down volume) then you need to understand these two to understand VOLD.
UVOL or DVOL are a total of the volume on all stocks that are up or down in price. Up or down is based on the previous session's closing price. The size of the stock's price change is irrelevant.
If the stock is up only $.01, then its volume is grouped into the UVOL total. If that stock's price then drops by $.02 it will be down $.01 and the day's volume for that stock will now be grouped with the DVOL total.
Note that when a stock moves from being an up stock to a down stock its volume will be removed from the UVOL total and added to the DVOL total. Say the stocks volume is 1 million shares when it moves from up to down. The DVOL will increase by 1 million and the UVOL will decrease by 1 million which means that VOLD will decrease by 2 million.
NYSE Up/Down Volume Ratio is often used as a barometer for stocks trading on all U.S. Exchanges even though it is calculated based on stocks listed on the New York Stock Exchange.
NYSE Up/Down ratio represents the volume of NYSE stocks that are advancing divided by the volume of declining stocks.
The volume of advancing stocks or upside volume is the sum of the volume or the number of shares traded associated with stocks that closed higher.
The downside volume is the total number of shares traded that are associated with stocks that closed lower.
The interpretation of the NYSE Up/Down ratio is rather simple. A value higher than one indicates that there is more volume associated with up stocks than with down stocks and it is usually interpreted as a bullish signal.
Obviously, a bearish signal occurs when the NYSE Up/Down ratio is lower than one, which tells us that there are more volume associated with down stocks than with up stocks.
Check out my other indicators and website stokedstocks.wordpress.com for tons of free stock training books and pictures and settings
Market BuySell RatioA script using 1m small candle size (configurable) to compute the volume of buy (up) vs sell (down) candles (instead of actual market buy vs sell orders which are not available in pine script).
It then plots the buy vs sell ratio as an oscillator below the cart.
This gives traders an idea of current order flow in the market.
To compute the small candles this script uses the "Smart Volume" script which can be found here:
CCI Extreme and OBV DivergenceThis is my second set of two indicators combined utilize Multi time frame analysis of 5 minutes and 15 minutes.
CCI:
Green = uptrending
Red = downtrending
Bright Green = overbought, look to go SHORT
Bright Red = oversold, look to go LONG
OBV:
this use to predict the market direction buy drawing trend line.
It is also very good indicator to sport Smart Money moment. When price move higher but OBV trend lower, smart money is taking profit and reversing their position, look to go Short to you spot this type of divergence.
Also else already not there is no holy grail indicator so I also use this set of indicator to improve the signal
Liquidity Engulfing (Nephew_Sam_)🔥 Liquidity Engulfing Multi-Timeframe Detector
This indicator finds engulfing bars which have swept liquidity from its previous candle. You can use it across 6 timeframes with fibonacci entries.
⚡ Key Features
6 Customizable Timeframes - Complete market structure analysis
Smart Liquidity Detection - Finds patterns that sweep liquidity then reverse
Real-Time Status Table - Confirmed vs unconfirmed patterns with color coding
Fibonacci Integration - 5 customizable fib levels for precise entries
HTF → LTF Strategy - Spot reversals on higher timeframes, enter on lower timeframe fibs
📈 Engulfing Rules
Bullish: Current candle bullish + previous bearish + current low < previous low + current close > previous open
Bearish: Current candle bearish + previous bullish + current high > previous high + current close < previous open
DEV many TimeFrame💡 DEV many TimeFrame – Multi-Timeframe Momentum Pattern Classification Using RSI
DEV many TimeFrame is a powerful technical indicator designed for TradingView. It combines RSI (Relative Strength Index) with smoothed moving averages (EMA and WMA) to detect and classify different market phases such as accumulation, breakout, and exhaustion. Its core strength lies in automatically identifying momentum models and classifying trend strength across time.
🔧 Key Components and Logic
1. RSI & Moving Average Calculation
RSI: Calculated with standard settings (default period = 14).
EMA RSI: Fast exponential moving average of the RSI.
WMA RSI: Slow weighted moving average of the RSI.
DEV: Measures the deviation between EMA RSI and WMA RSI, representing trend expansion strength.
2. Expansion Detection
A trend is considered "expanding" when the DEV exceeds a threshold (Consider_length, default = 7).
The indicator tracks each RSI movement model (defined between EMA/WMA crossovers) and evaluates its behavior—whether it's strengthening, weakening, or consolidating.
3. Momentum Model Classification
Based on:
Current bar count of the active model (Sonenhientai)
Whether there is momentum or not
Whether RSI is outside the 40–60 zone
Whether it's a strong/weak expansion
Whether the previous model succeeded or failed
➡️ The indicator classifies RSI momentum patterns into 9 main model types:
Strong Momentum
Normal Momentum
Weak Momentum
Fail Momentum
Done Momentum
Strong Accumulation
Normal Accumulation
Weak Accumulation
None (invalid or no clear model)
📊 Current Model – Market Phase
The indicator analyzes the current RSI model to determine whether the market is:
In active momentum
In a fail/reversal phase
Or undergoing accumulation / sideways movement
Recognized patterns include:
Adjust Momentum
Momentum in Fail Momentum
Fail Momentum
Strong Accumulating
Normal Accumulating
Sideway Upp▲ / Dow▼
Strong Model Support
Weak Model Support
⚡ Power – Momentum Strength
Measures the strength of the current momentum using 3 levels:
Very Strong: RSI moves aggressively above both EMA and WMA.
Strong: RSI remains between EMA and WMA, showing continued pressure.
Weak / Very Weak: RSI cuts below the averages, signaling potential weakening.
⚠️ If the model is already expanded but shows signs of exhaustion, it may signal a reversal.
🧯 Fuel – Trend Energy Remaining
Estimates how much "fuel" a trend has left based on how long the model has existed:
Under 10 bars: 100% energy
10–20 bars: 70%
20–30 bars: 50%
30–40 bars: 30%
Over 40 bars: 5% → Trend likely exhausted
✅ Summary Score – Status
The indicator assigns a total status score based on:
Model Support
Power
Fuel
Then classifies the overall trend into one of the following statuses:
Very Strong Bull▲
Strong Bull▲
Normal Bull▲
Sideway
Bear▼ (This category is not yet fully implemented in the code but can be extended similarly.)
🧠 Practical Applications
DEV many TimeFrame is more than a standard RSI—it is a smart behavioral system for RSI analysis that helps traders:
Identify when a trend begins and ends
Distinguish between accumulation, breakout, and fail breakout
Gauge trend strength with high precision
Make informed decisions on entry, hold, or exit
📝 Usage Tips
Combine with higher timeframes for trend confirmation
Use the Power and Fuel states to decide when to hold or exit trades
Avoid entries when in Sideway, Weak Momentum, or Fail Momentum states
Would you like:
A visual user guide with examples and screenshots?
A polished TradingView description for publishing?
A full SEO-optimized English write-up for marketing or social media?
Let me know how you'd like to proceed!
Langlands-Operadic Möbius Vortex (LOMV)Langlands-Operadic Möbius Vortex (LOMV)
Where Pure Mathematics Meets Market Reality
A Revolutionary Synthesis of Number Theory, Category Theory, and Market Dynamics
🎓 THEORETICAL FOUNDATION
The Langlands-Operadic Möbius Vortex represents a groundbreaking fusion of three profound mathematical frameworks that have never before been combined for market analysis:
The Langlands Program: Harmonic Analysis in Markets
Developed by Robert Langlands (Fields Medal recipient), the Langlands Program creates bridges between number theory, algebraic geometry, and harmonic analysis. In our indicator:
L-Function Implementation:
- Utilizes the Möbius function μ(n) for weighted price analysis
- Applies Riemann zeta function convergence principles
- Calculates quantum harmonic resonance between -2 and +2
- Measures deep mathematical patterns invisible to traditional analysis
The L-Function core calculation employs:
L_sum = Σ(return_val × μ(n) × n^(-s))
Where s is the critical strip parameter (0.5-2.5), controlling mathematical precision and signal smoothness.
Operadic Composition Theory: Multi-Strategy Democracy
Category theory and operads provide the mathematical framework for composing multiple trading strategies into a unified signal. This isn't simple averaging - it's mathematical composition using:
Strategy Composition Arity (2-5 strategies):
- Momentum analysis via RSI transformation
- Mean reversion through Bollinger Band mathematics
- Order Flow Polarity Index (revolutionary T3-smoothed volume analysis)
- Trend detection using Directional Movement
- Higher timeframe momentum confirmation
Agreement Threshold System: Democratic voting where strategies must reach consensus before signal generation. This prevents false signals during market uncertainty.
Möbius Function: Number Theory in Action
The Möbius function μ(n) forms the mathematical backbone:
- μ(n) = 1 if n is a square-free positive integer with even number of prime factors
- μ(n) = -1 if n is a square-free positive integer with odd number of prime factors
- μ(n) = 0 if n has a squared prime factor
This creates oscillating weights that reveal hidden market periodicities and harmonic structures.
🔧 COMPREHENSIVE INPUT SYSTEM
Langlands Program Parameters
Modular Level N (5-50, default 30):
Primary lookback for quantum harmonic analysis. Optimized by timeframe:
- Scalping (1-5min): 15-25
- Day Trading (15min-1H): 25-35
- Swing Trading (4H-1D): 35-50
- Asset-specific: Crypto 15-25, Stocks 30-40, Forex 35-45
L-Function Critical Strip (0.5-2.5, default 1.5):
Controls Riemann zeta convergence precision:
- Higher values: More stable, smoother signals
- Lower values: More reactive, catches quick moves
- High frequency: 0.8-1.2, Medium: 1.3-1.7, Low: 1.8-2.3
Frobenius Trace Period (5-50, default 21):
Galois representation lookback for price-volume correlation:
- Measures harmonic relationships in market flows
- Scalping: 8-15, Day Trading: 18-25, Swing: 25-40
HTF Multi-Scale Analysis:
Higher timeframe context prevents trading against major trends:
- Provides market bias and filters signals
- Improves win rates by 15-25% through trend alignment
Operadic Composition Parameters
Strategy Composition Arity (2-5, default 4):
Number of algorithms composed for final signal:
- Conservative: 4-5 strategies (higher confidence)
- Moderate: 3-4 strategies (balanced approach)
- Aggressive: 2-3 strategies (more frequent signals)
Category Agreement Threshold (2-5, default 3):
Democratic voting minimum for signal generation:
- Higher agreement: Fewer but higher quality signals
- Lower agreement: More signals, potential false positives
Swiss-Cheese Mixing (0.1-0.5, default 0.382):
Golden ratio φ⁻¹ based blending of trend factors:
- 0.382 is φ⁻¹, optimal for natural market fractals
- Higher values: Stronger trend following
- Lower values: More contrarian signals
OFPI Configuration:
- OFPI Length (5-30, default 14): Order Flow calculation period
- T3 Smoothing (3-10, default 5): Advanced exponential smoothing
- T3 Volume Factor (0.5-1.0, default 0.7): Smoothing aggressiveness control
Unified Scoring System
Component Weights (sum ≈ 1.0):
- L-Function Weight (0.1-0.5, default 0.3): Mathematical harmony emphasis
- Galois Rank Weight (0.1-0.5, default 0.2): Market structure complexity
- Operadic Weight (0.1-0.5, default 0.3): Multi-strategy consensus
- Correspondence Weight (0.1-0.5, default 0.2): Theory-practice alignment
Signal Threshold (0.5-10.0, default 5.0):
Quality filter producing:
- 8.0+: EXCEPTIONAL signals only
- 6.0-7.9: STRONG signals
- 4.0-5.9: MODERATE signals
- 2.0-3.9: WEAK signals
🎨 ADVANCED VISUAL SYSTEM
Multi-Dimensional Quantum Aura Bands
Five-layer resonance field showing market energy:
- Colors: Theme-matched gradients (Quantum purple, Holographic cyan, etc.)
- Expansion: Dynamic based on score intensity and volatility
- Function: Multi-timeframe support/resistance zones
Morphism Flow Portals
Category theory visualization showing market topology:
- Green/Cyan Portals: Bullish mathematical flow
- Red/Orange Portals: Bearish mathematical flow
- Size/Intensity: Proportional to signal strength
- Recursion Depth (1-8): Nested patterns for flow evolution
Fractal Grid System
Dynamic support/resistance with projected L-Scores:
- Multiple Timeframes: 10, 20, 30, 40, 50-period highs/lows
- Smart Spacing: Prevents level overlap using ATR-based minimum distance
- Projections: Estimated signal scores when price reaches levels
- Usage: Precise entry/exit timing with mathematical confirmation
Wick Pressure Analysis
Rejection level prediction using candle mathematics:
- Upper Wicks: Selling pressure zones (purple/red lines)
- Lower Wicks: Buying pressure zones (purple/green lines)
- Glow Intensity (1-8): Visual emphasis and line reach
- Application: Confluence with fractal grid creates high-probability zones
Regime Intensity Heatmap
Background coloring showing market energy:
- Black/Dark: Low activity, range-bound markets
- Purple Glow: Building momentum and trend development
- Bright Purple: High activity, strong directional moves
- Calculation: Combines trend, momentum, volatility, and score intensity
Six Professional Themes
- Quantum: Purple/violet for general trading and mathematical focus
- Holographic: Cyan/magenta optimized for cryptocurrency markets
- Crystalline: Blue/turquoise for conservative, stability-focused trading
- Plasma: Gold/magenta for high-energy volatility trading
- Cosmic Neon: Bright neon colors for maximum visibility and aggressive trading
📊 INSTITUTIONAL-GRADE DASHBOARD
Unified AI Score Section
- Total Score (-10 to +10): Primary decision metric
- >5: Strong bullish signals
- <-5: Strong bearish signals
- Quality ratings: EXCEPTIONAL > STRONG > MODERATE > WEAK
- Component Analysis: Individual L-Function, Galois, Operadic, and Correspondence contributions
Order Flow Analysis
Revolutionary OFPI integration:
- OFPI Value (-100% to +100%): Real buying vs selling pressure
- Visual Gauge: Horizontal bar chart showing flow intensity
- Momentum Status: SHIFTING, ACCELERATING, STRONG, MODERATE, or WEAK
- Trading Application: Flow shifts often precede major moves
Signal Performance Tracking
- Win Rate Monitoring: Real-time success percentage with emoji indicators
- Signal Count: Total signals generated for frequency analysis
- Current Position: LONG, SHORT, or NONE with P&L tracking
- Volatility Regime: HIGH, MEDIUM, or LOW classification
Market Structure Analysis
- Möbius Field Strength: Mathematical field oscillation intensity
- CHAOTIC: High complexity, use wider stops
- STRONG: Active field, normal position sizing
- MODERATE: Balanced conditions
- WEAK: Low activity, consider smaller positions
- HTF Trend: Higher timeframe bias (BULL/BEAR/NEUTRAL)
- Strategy Agreement: Multi-algorithm consensus level
Position Management
When in trades, displays:
- Entry Price: Original signal price
- Current P&L: Real-time percentage with risk level assessment
- Duration: Bars in trade for timing analysis
- Risk Level: HIGH/MEDIUM/LOW based on current exposure
🚀 SIGNAL GENERATION LOGIC
Balanced Long/Short Architecture
The indicator generates signals through multiple convergent pathways:
Long Entry Conditions:
- Score threshold breach with algorithmic agreement
- Strong bullish order flow (OFPI > 0.15) with positive composite signal
- Bullish pattern recognition with mathematical confirmation
- HTF trend alignment with momentum shifting
- Extreme bullish OFPI (>0.3) with any positive score
Short Entry Conditions:
- Score threshold breach with bearish agreement
- Strong bearish order flow (OFPI < -0.15) with negative composite signal
- Bearish pattern recognition with mathematical confirmation
- HTF trend alignment with momentum shifting
- Extreme bearish OFPI (<-0.3) with any negative score
Exit Logic:
- Score deterioration below continuation threshold
- Signal quality degradation
- Opposing order flow acceleration
- 10-bar minimum between signals prevents overtrading
⚙️ OPTIMIZATION GUIDELINES
Asset-Specific Settings
Cryptocurrency Trading:
- Modular Level: 15-25 (capture volatility)
- L-Function Precision: 0.8-1.3 (reactive to price swings)
- OFPI Length: 10-20 (fast correlation shifts)
- Cascade Levels: 5-7, Theme: Holographic
Stock Index Trading:
- Modular Level: 25-35 (balanced trending)
- L-Function Precision: 1.5-1.8 (stable patterns)
- OFPI Length: 14-20 (standard correlation)
- Cascade Levels: 4-5, Theme: Quantum
Forex Trading:
- Modular Level: 35-45 (smooth trends)
- L-Function Precision: 1.6-2.1 (high smoothing)
- OFPI Length: 18-25 (disable volume amplification)
- Cascade Levels: 3-4, Theme: Crystalline
Timeframe Optimization
Scalping (1-5 minute charts):
- Reduce all lookback parameters by 30-40%
- Increase L-Function precision for noise reduction
- Enable all visual elements for maximum information
- Use Small dashboard to save screen space
Day Trading (15 minute - 1 hour):
- Use default parameters as starting point
- Adjust based on market volatility
- Normal dashboard provides optimal information density
- Focus on OFPI momentum shifts for entries
Swing Trading (4 hour - Daily):
- Increase lookback parameters by 30-50%
- Higher L-Function precision for stability
- Large dashboard for comprehensive analysis
- Emphasize HTF trend alignment
🏆 ADVANCED TRADING STRATEGIES
The Mathematical Confluence Method
1. Wait for Fractal Grid level approach
2. Confirm with projected L-Score > threshold
3. Verify OFPI alignment with direction
4. Enter on portal signal with quality ≥ STRONG
5. Exit on score deterioration or opposing flow
The Regime Trading System
1. Monitor Aether Flow background intensity
2. Trade aggressively during bright purple periods
3. Reduce position size during dark periods
4. Use Möbius Field strength for stop placement
5. Align with HTF trend for maximum probability
The OFPI Momentum Strategy
1. Watch for momentum shifting detection
2. Confirm with accelerating flow in direction
3. Enter on immediate portal signal
4. Scale out at Fibonacci levels
5. Exit on flow deceleration or reversal
⚠️ RISK MANAGEMENT INTEGRATION
Mathematical Position Sizing
- Use Galois Rank for volatility-adjusted sizing
- Möbius Field strength determines stop width
- Fractal Dimension guides maximum exposure
- OFPI momentum affects entry timing
Signal Quality Filtering
- Trade only STRONG or EXCEPTIONAL quality signals
- Increase position size with higher agreement levels
- Reduce risk during CHAOTIC Möbius field periods
- Respect HTF trend alignment for directional bias
🔬 DEVELOPMENT JOURNEY
Creating the LOMV was an extraordinary mathematical undertaking that pushed the boundaries of what's possible in technical analysis. This indicator almost didn't happen. The theoretical complexity nearly proved insurmountable.
The Mathematical Challenge
Implementing the Langlands Program required deep research into:
- Number theory and the Möbius function
- Riemann zeta function convergence properties
- L-function analytical continuation
- Galois representations in finite fields
The mathematical literature spans decades of pure mathematics research, requiring translation from abstract theory to practical market application.
The Computational Complexity
Operadic composition theory demanded:
- Category theory implementation in Pine Script
- Multi-dimensional array management for strategy composition
- Real-time democratic voting algorithms
- Performance optimization for complex calculations
The Integration Breakthrough
Bringing together three disparate mathematical frameworks required:
- Novel approaches to signal weighting and combination
- Revolutionary Order Flow Polarity Index development
- Advanced T3 smoothing implementation
- Balanced signal generation preventing directional bias
Months of intensive research culminated in breakthrough moments when the mathematics finally aligned with market reality. The result is an indicator that reveals market structure invisible to conventional analysis while maintaining practical trading utility.
🎯 PRACTICAL IMPLEMENTATION
Getting Started
1. Apply indicator with default settings
2. Select appropriate theme for your markets
3. Observe dashboard metrics during different market conditions
4. Practice signal identification without trading
5. Gradually adjust parameters based on observations
Signal Confirmation Process
- Never trade on score alone - verify quality rating
- Confirm OFPI alignment with intended direction
- Check fractal grid level proximity for timing
- Ensure Möbius field strength supports position size
- Validate against HTF trend for bias confirmation
Performance Monitoring
- Track win rate in dashboard for strategy assessment
- Monitor component contributions for optimization
- Adjust threshold based on desired signal frequency
- Document performance across different market regimes
🌟 UNIQUE INNOVATIONS
1. First Integration of Langlands Program mathematics with practical trading
2. Revolutionary OFPI with T3 smoothing and momentum detection
3. Operadic Composition using category theory for signal democracy
4. Dynamic Fractal Grid with projected L-Score calculations
5. Multi-Dimensional Visualization through morphism flow portals
6. Regime-Adaptive Background showing market energy intensity
7. Balanced Signal Generation preventing directional bias
8. Professional Dashboard with institutional-grade metrics
📚 EDUCATIONAL VALUE
The LOMV serves as both a practical trading tool and an educational gateway to advanced mathematics. Traders gain exposure to:
- Pure mathematics applications in markets
- Category theory and operadic composition
- Number theory through Möbius function implementation
- Harmonic analysis via L-function calculations
- Advanced signal processing through T3 smoothing
⚖️ RESPONSIBLE USAGE
This indicator represents advanced mathematical research applied to market analysis. While the underlying mathematics are rigorously implemented, markets remain inherently unpredictable.
Key Principles:
- Use as part of comprehensive trading strategy
- Implement proper risk management at all times
- Backtest thoroughly before live implementation
- Understand that past performance does not guarantee future results
- Never risk more than you can afford to lose
The mathematics reveal deep market structure, but successful trading requires discipline, patience, and sound risk management beyond any indicator.
🔮 CONCLUSION
The Langlands-Operadic Möbius Vortex represents a quantum leap forward in technical analysis, bringing PhD-level pure mathematics to practical trading while maintaining visual elegance and usability.
From the harmonic analysis of the Langlands Program to the democratic composition of operadic theory, from the number-theoretic precision of the Möbius function to the revolutionary Order Flow Polarity Index, every component works in mathematical harmony to reveal the hidden order within market chaos.
This is more than an indicator - it's a mathematical lens that transforms how you see and understand market structure.
Trade with mathematical precision. Trade with the LOMV.
*"Mathematics is the language with which God has written the universe." - Galileo Galilei*
*In markets, as in nature, profound mathematical beauty underlies apparent chaos. The LOMV reveals this hidden order.*
— Dskyz, Trade with insight. Trade with anticipation.
Math by Thomas Liquidity PoolDescription
Math by Thomas Liquidity Pool is a TradingView indicator designed to visually identify potential liquidity pools on the chart by detecting areas where price forms clusters of equal highs or equal lows.
Bullish Liquidity Pools (Green Boxes): Marked below price where two adjacent candles have similar lows within a specified difference, indicating potential demand zones or stop loss clusters below support.
Bearish Liquidity Pools (Red Boxes): Marked above price where two adjacent candles have similar highs within the difference threshold, indicating potential supply zones or stop loss clusters above resistance.
This tool helps traders spot areas where smart money might hunt stop losses or where price is likely to react, providing valuable insight for trade entries, exits, and risk management.
Features:
Adjustable box height (vertical range) in points.
Adjustable maximum difference threshold between candle highs/lows to consider them equal.
Boxes automatically extend forward for visibility and delete when price sweeps through or after a defined lifetime.
Separate visual zones for bullish and bearish liquidity with customizable colors.
How to Use
Add the Indicator to your chart (preferably on instruments like Nifty where point-based thresholds are meaningful).
Adjust Inputs:
Box Height: Set the vertical size of the liquidity zones (default 15 points).
Max Difference Between Highs/Lows: Set the max price difference to consider two candle highs or lows as “equal” (default 10 points).
Box Lifetime: How many bars the box stays visible if not swept (default 120 bars).
Interpret Boxes:
Green Boxes (Bullish Liquidity Pools): Areas of potential demand and stop loss clusters below price. Watch for price bounces or accumulation near these zones.
Red Boxes (Bearish Liquidity Pools): Areas of potential supply and stop loss clusters above price. Watch for price rejections or distribution near these zones.
Trading Strategy Tips:
Use these zones to anticipate where stop loss hunting or liquidity sweeps may occur.
Combine with your Order Block, Fair Value Gap, and Market Structure tools for higher probability setups.
Manage risk by avoiding entries into price regions just before large liquidity pools get swept.
Automatic Cleanup:
Boxes delete automatically once price breaks above (for bearish zones) or below (for bullish zones) the zone or after the set lifetime.
Year/Quarter Open LevelsDeveloped by ADEL CEZAR and inspired by insights from ERDAL Y, this indicator is designed to give traders a clear edge by automatically plotting the Yearly Open and Quarterly Open levels — two of the most critical institutional reference points in price action.
These levels often act as magnets for liquidity, bias confirmation zones, and support/resistance pivots on higher timeframes. With customizable settings, you can display multiple past opens, fine-tune label positions, and align your strategy with high-timeframe structure — all in a lightweight, non-intrusive design.
If you follow Smart Money Concepts (SMC), ICT models, or build confluence using HTF structures and range theory, this script will integrate seamlessly into your workflow.
15-Metric Strong Buy System (Final Version)This Pine Script analyzes 15 key technical signals to identify strong buy opportunities.
It assigns a score out of 13 for core conditions and checks 2 optional filters (Delivery Spike and RS > Nifty).
It only shows signals on the latest bar to keep the chart clean.
🧠 Core Structure Breakdown
✅ SECTION 1: Core Technical Signals (13 total)
Each of the following conditions adds 1 point to the score:
# Signal What It Checks Why It's Used
1 RSI (Daily & 1H) Both timeframes >55 and rising Confirms strength across multiple timeframes
2 Price > EMA20 & EMA50 Above short/medium-term trend lines Confirms uptrend support
3 Price near 20-day High Within 2% of recent high Breakout proximity
4 Volume > 20 SMA Unusual trading activity Confirms strength behind move
5 MACD Bullish Line > Signal and Histogram > 0 Momentum is building
6 ADX > 20 and +DI > -DI Trend strength and direction Validates strong directional trend
7 Bullish Candle Green candle with higher close Confirms bullish price action
8 BB Breakout Close > Upper Bollinger Band Volatility breakout confirmation
9 Supertrend Proxy Close above custom supertrend Simple trend direction filter
10 Close > Prev. High Break of short-term resistance Momentum continuation
11 VWAP Filter Close above VWAP Price leadership relative to volume
12 Weekly RSI > 50 Long-term trend momentum Confirms broader trend strength
13 BB Squeeze Bollinger Band width is low Signals potential upcoming move
🎯 Total Score = 0 to 13
🎯 SECTION 2: Optional Strength Filters (Displayed as labels)
Label What It Means Why It Matters
RS > Nifty Relative strength RSI > 55 vs Nifty Indicates outperformance
Delivery Spike Volume > 1.5× avg & bullish candle Suggests institutional activity
These are not included in the score, but if triggered, the chart displays:
🏷️ "RS > NIFTY" and/or
🏷️ "DELIVERY SPIKE"
in black background + white text boxes above the latest bar.
✅ SECTION 3: Output Logic
If score ≥ 12 → Show "STRONG BUY" on latest candle
If score = 11 → Show "BUY"
Also shows score label like Score: 12/13
Optional filters are displayed as labels if true
No clutter on historical candles — only current signal is shown.
🔔 SECTION 4: Alerts
Alert Trigger What It Does
score >= 12 Fires "Strong Buy Alert"
score == 11 Fires "Buy Alert"
⚖️ Pros & Cons (Analyst View)
✅ Pros:
Covers breadth of momentum, trend, breakout, and strength
Uses multi-timeframe confirmation for reliability
Avoids repainting by using latest bar only
Optional filters help detect smart money participation
Clean, uncluttered interface
❌ Cons:
Doesn’t include fundamentals
False positives possible during sideways or news-driven moves
No exit logic or Sell trigger
Uses proxy for Delivery spike, not actual delivery % (due to TradingView data limits)
💡 When to Trust the Signal?
Score Label Confidence
13/13 ✅ STRONG BUY + optional filters 🔥 Extremely strong
12/13 ✅ STRONG BUY ✅ Very high
11/13 BUY ⚠️ Medium — confirm with chart pattern
<11 — ❌ Avoid
Auto-Trend Finder (Pivot + ADX)Inspired in part by LuxAlgo Trendlines with Breaks. Extended and enhanced for directional clarity and pivot-based precision.
🔍 What It Does
The Auto-Trend Finder (Pivot + ADX) is a smart trend-detection toolkit that combines:
Pivot-based swing detection (HH, HL, LH, LL)
ADX-filtered trendline projections
Custom slope estimation using ATR, Standard Deviation, Linear Regression, or a blended approach
Candlestick pattern detection for added confirmation (e.g., hammer, engulfing, shooting star)
📈 How It Works
1. Swing Detection
Uses ta.pivothigh / ta.pivotlow to mark major price turning points.
Labels pivots as Higher High (HH), Lower High (LH), Lower Low (LL), or Higher Low (HL).
Optionally overlays basic candle pattern names for visual context.
2. Trendline Logic
Connects successive pivot highs/lows with real-time trendlines.
Draws separate Uptrend and Downtrend lines with distinct colors.
3. Extended Projections
Projects extended dashed lines from the last pivot using slope formulas:
ATR-based (volatility)
Stdev-based (dispersion)
Linear Regression (trend best-fit)
Or a Combined slope using user-defined weights.
Color changes dynamically on breakout to visually signal momentum shifts.
4. ADX Trend Strength Filter
Optional ADX filter disables trendline updates unless directional strength exceeds a threshold (e.g. 20+).
Helps remove noise in sideways markets.
⚠️ Important Notes
Backpainting Warning: This script includes a backpainting setting (backpaint) that may cause lines to appear "reliably predictive" in historical data. Backpainting does not repaint once the pivot is confirmed, but it still reflects a post-fact state. Use this feature cautiously in live trading decisions.
Reused Code Attribution: Extended trendline concept and breakout color logic were inspired by publicly available open-source versions of LuxAlgo's trendline logic. Credit is given in the script comments and here as required.
🛠️ How to Use It
Adjust Pivot Length for swing detection sensitivity.
Toggle ADX filtering on or off to avoid choppy signals.
Choose your preferred Slope Calculation Method.
Use candlestick labels as potential entry signals near trendline retests or breaks.
✅ Why This Is More Than a Mashup
This tool integrates several separate technical methods into one cohesive, customizable framework:
It’s not just combining indicators, it’s engineering synergy between them.
The slope and ADX filtering mechanics dynamically adjust to trend strength.
Candlestick confirmation and labeling give visual, real-time trade confidence.
It enhances open-source logic by adding modular slope options, ADX gating, pattern labeling, and user control.
"Know the structure. Follow the strength. Trade with clarity. Auto-Trend Finder is your edge in the chaos."
A+ Trade Checklist (Table Only)This is the only A+ trading checklist you'll ever need.
Let me know if you'd like anything added!
If you want to help my journey USDT address is below :)
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Supply & Demand Zones - [RealFact]Supply & Demand Zones -
This indicator automatically detects potential Supply and Demand Zones based on price action characteristics such as imbalance, engulfing patterns, and structural shifts. It’s designed to help traders identify key areas of interest where price is likely to react.
🔍 Features:
• Auto-detection of Demand (support) and Supply (resistance) zones
• Adjustable zone length
• Color-coded: Green for Demand zones, Red for Supply zones
🧠 Ideal For:
• Price Action Traders
• Order Block and Smart Money Strategy Users
• Those trading using FVG or structural break models
⚠️ Note:
This tool is intended for visual aid and market context analysis, not as a direct buy/sell signal. Always use it alongside your trading system and risk management plan.
✅ Created by
Relative Imbalance Flow Tracker🚀 RIFT: Relative Imbalance Flow Tracker
A totally unique RSI envelope system that uses dual moving averages and color-coded dominance to show potential reversal zones before they happen. No standard Bollinger Bands. No gray confusion. Just clean, smart, visual logic.
🧠 How It Works
RSI is calculated and optionally smoothed (RMA/EMA/SMA/WMA).
Two RSI-based MAs are plotted:
- Fast MA (e.g. 16) = reactive
- Slow MA (e.g. 32) = steady
Each MA gets its own envelope based on a % distance.
If fast envelope dominates (outside the slow one), it lights up. Otherwise, they fade and cancel each other visually.
🎨 Color Logic
🔴 Upper Band (Red) = Overbought danger zone
When fast upper > slow upper, it's a warning flare.
🟢 Lower Band (Green) = Oversold bounce zone
When fast lower < slow lower, bulls may step in.
🟠 RSI Line Orange = Mixed signals
RSI is between the two MAs—no one's in control.
🟢 - RSI Line Green = RSI > both MAs = strong momentum
🔴 - RSI Line Red = RSI < both MAs = bearish pressure
🔍 How to Read It
- Red Band + Green RSI = uptrend stalling
- Green Band + Red RSI = selloff slowing
- No Fill = Envelopes overlapping, no edge
- RSI flips from green/red to orange = tug-of-war
⚙️ Why It’s Useful
- Gives early reversal clues before RSI tags extreme levels.
- Filters out fakeouts by showing when RSI can’t reach the “target zone.”
- Dynamic: adapts with trend strength and volatility via envelope width.
- Fully customizable: lengths, smoothing, envelope %, colors, fills.
💡 Quick Visual Tips
🔴 - Red Band visible but RSI stalls? = Likely reversal.
🟢 - Green Band shows up and RSI flips green? = Go time.
🟠 - RSI turns orange + no fills? = Sit out or scalp light.
NIFTY Option Buy Strategy MASTER v1This script is a complete option buying strategy framework for NIFTY, designed for both intraday and positional swing trades.
🔹 Built using multi-timeframe analysis (EMAs, MACD, RSI)
🔹 Combines key macro filters: India VIX, PCR, FII/DII net cash flows
🔹 Supports both Call (CE) and Put (PE) entries
🔹 Includes manual input dashboard for real-time market context
🔹 Trade logic includes:
Bollinger Band breakouts
Volume confirmation
VWAP filtering
EMA crossover + MACD alignment
Resistance/support proximity from option chain (manual)
📈 Smart Trade Management:
Multi-target system (e.g., exit 50% at RR=1, 50% at RR=2)
Trailing stop-loss after target 1 hits
Automatic exit on SL/TP or reverse signals
Visual markers for all entries, exits, and stops
📊 Built-in Dashboard:
Displays India VIX, PCR, FII/DII flows, and S/R levels
Strike price selection (ATM + offset logic)
🧪 Ideal for backtesting, alerts, and real-time execution.
Can be used with alerts + webhook for automated trading or signal generation.
⚠️ Note: This script is for educational purposes only. Always test on paper trading before going live.
DCA Investment Tracker Pro [tradeviZion]DCA Investment Tracker Pro: Educational DCA Analysis Tool
An educational indicator that helps analyze Dollar-Cost Averaging strategies by comparing actual performance with historical data calculations.
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💡 Why I Created This Indicator
As someone who practices Dollar-Cost Averaging, I was frustrated with constantly switching between spreadsheets, calculators, and charts just to understand how my investments were really performing. I wanted to see everything in one place - my actual performance, what I should expect based on historical data, and most importantly, visualize where my strategy could take me over the long term .
What really motivated me was watching friends and family underestimate the incredible power of consistent investing. When Napoleon Bonaparte first learned about compound interest, he reportedly exclaimed "I wonder it has not swallowed the world" - and he was right! Yet most people can't visualize how their $500 monthly contributions today could become substantial wealth decades later.
Traditional DCA tracking tools exist, but they share similar limitations:
Require manual data entry and complex spreadsheets
Use fixed assumptions that don't reflect real market behavior
Can't show future projections overlaid on actual price charts
Lose the visual context of what's happening in the market
Make compound growth feel abstract rather than tangible
I wanted to create something different - a tool that automatically analyzes real market history, detects volatility periods, and shows you both current performance AND educational projections based on historical patterns right on your TradingView charts. As Warren Buffett said: "Someone's sitting in the shade today because someone planted a tree a long time ago." This tool helps you visualize your financial tree growing over time.
This isn't just another calculator - it's a visualization tool that makes the magic of compound growth impossible to ignore.
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🎯 What This Indicator Does
This educational indicator provides DCA analysis tools. Users can input investment scenarios to study:
Theoretical Performance: Educational calculations based on historical return data
Comparative Analysis: Study differences between actual and theoretical scenarios
Historical Projections: Theoretical projections for educational analysis (not predictions)
Performance Metrics: CAGR, ROI, and other analytical metrics for study
Historical Analysis: Calculates historical return data for reference purposes
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🚀 Key Features
Volatility-Adjusted Historical Return Calculation
Analyzes 3-20 years of actual price data for any symbol
Automatically detects high-volatility stocks (meme stocks, growth stocks)
Uses median returns for volatile stocks, standard CAGR for stable stocks
Provides conservative estimates when extreme outlier years are detected
Smart fallback to manual percentages when data insufficient
Customizable Performance Dashboard
Educational DCA performance analysis with compound growth calculations
Customizable table sizing (Tiny to Huge text options)
9 positioning options (Top/Middle/Bottom + Left/Center/Right)
Theme-adaptive colors (automatically adjusts to dark/light mode)
Multiple display layout options
Future Projection System
Visual future growth projections
Timeframe-aware calculations (Daily/Weekly/Monthly charts)
1-30 year projection options
Shows projected portfolio value and total investment amounts
Investment Insights
Performance vs benchmark comparison
ROI from initial investment tracking
Monthly average return analysis
Investment milestone alerts (25%, 50%, 100% gains)
Contribution tracking and next milestone indicators
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📊 Step-by-Step Setup Guide
1. Investment Settings 💰
Initial Investment: Enter your starting lump sum (e.g., $60,000)
Monthly Contribution: Set your regular DCA amount (e.g., $500/month)
Return Calculation: Choose "Auto (Stock History)" for real data or "Manual" for fixed %
Historical Period: Select 3-20 years for auto calculations (default: 10 years)
Start Year: When you began investing (e.g., 2020)
Current Portfolio Value: Your actual portfolio worth today (e.g., $150,000)
2. Display Settings 📊
Table Sizes: Choose from Tiny, Small, Normal, Large, or Huge
Table Positions: 9 options - Top/Middle/Bottom + Left/Center/Right
Visibility Toggles: Show/hide Main Table and Stats Table independently
3. Future Projection 🔮
Enable Projections: Toggle on to see future growth visualization
Projection Years: Set 1-30 years ahead for analysis
Live Example - NASDAQ:META Analysis:
Settings shown: $60K initial + $500/month + Auto calculation + 10-year history + 2020 start + $150K current value
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🔬 Pine Script Code Examples
Core DCA Calculations:
// Calculate total invested over time
months_elapsed = (year - start_year) * 12 + month - 1
total_invested = initial_investment + (monthly_contribution * months_elapsed)
// Compound growth formula for initial investment
theoretical_initial_growth = initial_investment * math.pow(1 + annual_return, years_elapsed)
// Future Value of Annuity for monthly contributions
monthly_rate = annual_return / 12
fv_contributions = monthly_contribution * ((math.pow(1 + monthly_rate, months_elapsed) - 1) / monthly_rate)
// Total expected value
theoretical_total = theoretical_initial_growth + fv_contributions
Volatility Detection Logic:
// Detect extreme years for volatility adjustment
extreme_years = 0
for i = 1 to historical_years
yearly_return = ((price_current / price_i_years_ago) - 1) * 100
if yearly_return > 100 or yearly_return < -50
extreme_years += 1
// Use median approach for high volatility stocks
high_volatility = (extreme_years / historical_years) > 0.2
calculated_return = high_volatility ? median_of_returns : standard_cagr
Performance Metrics:
// Calculate key performance indicators
absolute_gain = actual_value - total_invested
total_return_pct = (absolute_gain / total_invested) * 100
roi_initial = ((actual_value - initial_investment) / initial_investment) * 100
cagr = (math.pow(actual_value / initial_investment, 1 / years_elapsed) - 1) * 100
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📊 Real-World Examples
See the indicator in action across different investment types:
Stable Index Investments:
AMEX:SPY (SPDR S&P 500) - Shows steady compound growth with standard CAGR calculations
Classic DCA success story: $60K initial + $500/month starting 2020. The indicator shows SPY's historical 10%+ returns, demonstrating how consistent broad market investing builds wealth over time. Notice the smooth theoretical growth line vs actual performance tracking.
MIL:VUAA (Vanguard S&P 500 UCITS) - Shows both data limitation and solution approaches
Data limitation example: VUAA shows "Manual (Auto Failed)" and "No Data" when default 10-year historical setting exceeds available data. The indicator gracefully falls back to manual percentage input while maintaining all DCA calculations and projections.
MIL:VUAA (Vanguard S&P 500 UCITS) - European ETF with successful 5-year auto calculation
Solution demonstration: By adjusting historical period to 5 years (matching available data), VUAA auto calculation works perfectly. Shows how users can optimize settings for newer assets. European market exposure with EUR denomination, demonstrating DCA effectiveness across different markets and currencies.
NYSE:BRK.B (Berkshire Hathaway) - Quality value investment with Warren Buffett's proven track record
Value investing approach: Berkshire Hathaway's legendary performance through DCA lens. The indicator demonstrates how quality companies compound wealth over decades. Lower volatility than tech stocks = standard CAGR calculations used.
High-Volatility Growth Stocks:
NASDAQ:NVDA (NVIDIA Corporation) - Demonstrates volatility-adjusted calculations for extreme price swings
High-volatility example: NVIDIA's explosive AI boom creates extreme years that trigger volatility detection. The indicator automatically switches to "Median (High Vol): 50%" calculations for conservative projections, protecting against unrealistic future estimates based on outlier performance periods.
NASDAQ:TSLA (Tesla) - Shows how 10-year analysis can stabilize volatile tech stocks
Stable long-term growth: Despite Tesla's reputation for volatility, the 10-year historical analysis (34.8% CAGR) shows consistent enough performance that volatility detection doesn't trigger. Demonstrates how longer timeframes can smooth out extreme periods for more reliable projections.
NASDAQ:META (Meta Platforms) - Shows stable tech stock analysis using standard CAGR calculations
Tech stock with stable growth: Despite being a tech stock and experiencing the 2022 crash, META's 10-year history shows consistent enough performance (23.98% CAGR) that volatility detection doesn't trigger. The indicator uses standard CAGR calculations, demonstrating how not all tech stocks require conservative median adjustments.
Notice how the indicator automatically detects high-volatility periods and switches to median-based calculations for more conservative projections, while stable investments use standard CAGR methods.
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📈 Performance Metrics Explained
Current Portfolio Value: Your actual investment worth today
Expected Value: What you should have based on historical returns (Auto) or your target return (Manual)
Total Invested: Your actual money invested (initial + all monthly contributions)
Total Gains/Loss: Absolute dollar difference between current value and total invested
Total Return %: Percentage gain/loss on your total invested amount
ROI from Initial Investment: How your starting lump sum has performed
CAGR: Compound Annual Growth Rate of your initial investment (Note: This shows initial investment performance, not full DCA strategy)
vs Benchmark: How you're performing compared to the expected returns
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⚠️ Important Notes & Limitations
Data Requirements: Auto mode requires sufficient historical data (minimum 3 years recommended)
CAGR Limitation: CAGR calculation is based on initial investment growth only, not the complete DCA strategy
Projection Accuracy: Future projections are theoretical and based on historical returns - actual results may vary
Timeframe Support: Works ONLY on Daily (1D), Weekly (1W), and Monthly (1M) charts - no other timeframes supported
Update Frequency: Update "Current Portfolio Value" regularly for accurate tracking
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📚 Educational Use & Disclaimer
This analysis tool can be applied to various stock and ETF charts for educational study of DCA mathematical concepts and historical performance patterns.
Study Examples: Can be used with symbols like AMEX:SPY , NASDAQ:QQQ , AMEX:VTI , NASDAQ:AAPL , NASDAQ:MSFT , NASDAQ:GOOGL , NASDAQ:AMZN , NASDAQ:TSLA , NASDAQ:NVDA for learning purposes.
EDUCATIONAL DISCLAIMER: This indicator is a study tool for analyzing Dollar-Cost Averaging strategies. It does not provide investment advice, trading signals, or guarantees. All calculations are theoretical examples for educational purposes only. Past performance does not predict future results. Users should conduct their own research and consult qualified financial professionals before making any investment decisions.
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© 2025 TradeVizion. All rights reserved.
Spring Bar DetectorA Spring is a false breakdown below a well-defined support level, followed by a sharp rebound. It's a form of bear trap, where price dips below support just enough to trigger stop-loss orders and attract short sellers—only to reverse strongly, indicating that smart money is absorbing supply.
Higher Timeframe Market StructureHTF Market Structure – ZigZag, Break of Structure & Supply/Demand
This powerful indicator is designed to identify higher-timeframe market structure using a combination of ZigZag patterns, Break of Structure (BOS) signals, and Supply/Demand zones.
Key Features:
Automatic detection of Higher Highs (HH), Higher Lows (HL), Lower Lows (LL), and Lower Highs (LH)
Internal structure shifts based on Open or High/Low logic
Supply and Demand zones plotted on the chart
Break of Structure (BOS) lines with optional alerts
Mitigation logic to mark or delete invalidated order blocks
Customizable aggregation factor to view higher time frame structure on lower time frames
How to Use:
Focus on market structure and BOS to understand the current trend.
Watch for internal shifts as early signals of potential reversals.
Use ZigZag lines to connect swing highs and lows to visualize market rhythm.
Supply zones (red) and Demand zones (green) are automatically drawn after structure breaks:
Use Demand Zones in Bullish Markets for the highest probability entries.
Use Supply Zones in Bearish Markets to align with the prevailing trend.
Best Practices:
Only use Demand Zones in Bullish markets and Supply Zones in Bearish markets for optimal results.
Look for price action or reversal signals within these zones to refine your entries.
Enable alerts to get notified on:
New order blocks
Internal shifts
BOS events
HH, HL, LL, LH formations
Liquidity sweeps
Customization Options:
Aggregation Factor: Control how many candles are grouped for structure analysis.
Zone Duration: Define how length of plotted zones.
Mitigation Settings: Automatically delete or fade zones after mitigation.
Colors: Choose custom colors for bullish and bearish zones and structure markers.
This tool is ideal for traders who rely on price action, structure, and smart money concepts. Combine it with your own S&D strategy or integrate it with other confluence tools for even better precision.
EMA Cross CounterSure! Here's a professional English presentation for your EMA200 script, which you can use on TradingView, your website, or in a video description. Let me know if you want a more casual or more technical version.
📈 EMA200 Script Presentation (English)
Title:
🔵 EMA200 Strategy – Powerful Trend Filter for Smart Traders
Description:
Welcome to the EMA200 Script, your essential tool for identifying trend direction and improving your trading decisions!
The EMA200 (Exponential Moving Average over 200 periods) is one of the most reliable indicators used by professional traders to determine the overall market trend. This script is designed to help you:
✅ Identify Bullish or Bearish Conditions – Know whether the market is trending up or down based on price action relative to the EMA200.
✅ Filter Your Entries – Avoid counter-trend trades and focus only on high-probability setups aligned with the dominant trend.
✅ Enhance Any Strategy – Use the EMA200 as a standalone trend filter or combine it with your existing indicators for better precision.
RSI TrendSignal🔍 **Smart RSI System – Free & Open Source**
A powerful RSI-based indicator designed for traders who want clarity, simplicity, and filtered signals that *actually mean something*.
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### 🎯 Key Features:
✅ Classic RSI with custom smoothing
✅ Optional Bollinger Bands over RSI
✅ Built-in Divergence Detection (Regular Bullish/Bearish)
✅ Dynamic Buy/Sell Conditions based on RSI + MA cross
✅ STAR signals for high-conviction entries (Overbought/Oversold + strength filter)
✅ ATR-based strength filter and custom visualizations
✅ Works great on **crypto**, **forex**, or **indices**
✅ Fully open-source and beginner-friendly!
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### 📊 Recommended Timeframes:
15min, 1H, 4H, Daily – test and adjust settings for your style.
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### ⚙️ How to Use:
1. Watch for **Buy/Sell** shapes when RSI confirms crossover with smoothed MA.
2. **STAR signals** are stronger – when RSI is above 70 or below 30 with momentum separation.
3. Divergences (optional) can confirm reversals.
4. Use ATR plot or your own trailing stop logic for exit strategy.
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🔔 Alerts are built-in and ready to use.
📌 You can connect them to bots, webhooks, or Telegram (see alert templates in the script).
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🧠 **Built by a trader, for traders.**
Use this as a base and build your own version – or just trade it as is.
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💬 **Feedback / Questions / Want to talk?**
Feel free to message me on Telegram:
👉 (t.me/Ario_pinescript_pogramer)
This is a clean version of RSI TrendSignal with improved alerts.
It uses RSI cross with a smoothed moving average to generate filtered buy/sell signals.
No external links or bots. Fully compliant with TradingView rules.
📺 Demo & Tutorial coming soon on my YouTube channel – stay tuned
IU Pivot Zones + GMADESCRIPTION:
IU Pivot Zones + GMA is a smart price-action-based indicator that detects meaningful support and resistance zones formed through pivot highs/lows while combining them with dynamic zone generation and Geometric Moving Averages (GMA). This tool is built to help traders visualize institutional breakout/rejection zones with clear, logical mapping and live box management — helping you stay ahead of the move.
The indicator is designed for intraday, swing, and positional traders who want to enhance their trading decisions with visual confluence zones and market structure logic.
USER INPUTS
* Pivot point Lengths: Number of bars used to detect pivot highs/lows
* Zone length: Controls the thickness of the support/resistance zone; higher values create wider zones
* GMA Length: Period for calculating the geometric moving averages based on highs and lows
* Allow Bar/candle Color: Enables or disables special candle coloring when price interacts with the zones
LOGIC OF THE INDICATOR:
* Detects pivot highs and pivot lows using the user-defined length
* Compares consecutive pivot levels to determine if they fall within a valid ATR-based price band to form a zone
* If confirmed, the indicator dynamically plots a resistance or support box between those pivot points, colored respectively (red for resistance, green for support)
* The boxes update in real-time based on price action. If price respects the zone, the box extends forward. If price breaks the zone, the box disappears
* Geometric Moving Averages (GMA) based on logarithmic mean of highs and lows are plotted to offer a trend bias
* Candles that touch the top of the support zone are colored yellow, and those touching the bottom of the resistance zone are orange, enhancing zone reaction visibility
WHY IT IS UNIQUE:
* Uses logarithmic-based GMAs, which are smoother and less reactive than traditional moving averages
* ATR-based zone logic makes it adaptive to volatility instead of using fixed-width zones
* Combines structural levels (pivots), volatility filters (ATR), and trend overlays (GMA) in one unified tool
* Real-time zone extension and disappearance logic based on price interaction
HOW USER CAN BENEFIT FROM IT:
* Spot high-probability breakout or reversal zones that price respects consistently
* Use the GMA cloud for trend confirmation — for example, bullish bias when price is above both GMAs
* Build price action strategies around zone touches, breakouts, or rejections
* Use color-coded candles as real-time alerts for potential entry/exit signals near S/R levels
* Save time by avoiding manual marking of zones on charts across timeframes
DISCLAIMER:
This indicator is created for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading involves risk, and users should conduct their own analysis or consult with a qualified financial advisor before making any trading decisions. The creator is not responsible for any losses incurred through the use of this tool. Use at your own discretion.
Supply/Demand Zones + Engulfment-based ExecutionSupply/Demand Zones + Engulfment-Based Execution
Strategy Overview
This strategy combines institutional trading concepts—supply/demand zones and engulfing candle patterns—to generate high-probability long and short trade setups. The system uses aggregated price action to identify potential reversal zones and confirms entries with engulfing candle patterns, ensuring trades are only taken when market structure shows commitment in the direction of the trade.
Core Concepts
• Supply & Demand Zones: These are automatically detected by analyzing aggregated bullish and bearish candle structures over user-defined intervals. Supply zones are formed after bearish continuation patterns; demand zones appear after bullish continuation patterns.
• Engulfing Entries: Once price enters a zone, the strategy waits for a bullish engulfing pattern (in a demand zone) or a bearish engulfing pattern (in a supply zone) before executing a trade. This adds confirmation and reduces false signals.
• Risk Management: Stop-loss is placed at the low (for long trades) or high (for short trades) of the engulfed candle. Take-profit can be calculated using a fixed R-multiple (risk-to-reward ratio) or a user-defined target price.
Key Features
Fully customizable aggregation factor for zone detection
Visual zone boxes, entry/SL/TP boxes, and engulfing pattern labels
Optional removal of mitigated zones for cleaner charting
Configurable trade mode (Long only, Short only, or Both)
Support for trading sessions and date filtering
Alerts for price entering supply or demand zones
How to Use
Select Aggregation Factor: Choose how many candles to group together for identifying key zones (e.g., 4x timeframe).
Enable Zones: Turn on supply and/or demand zones as needed.
Set Execution Parameters:
– Choose R-multiple (e.g., 2:1 risk-reward)
– Or use a fixed take-profit price
Define Trade Time Window:
– Set the date and time ranges to restrict execution
– Use Start Hour and End Hour to limit trades to specific sessions (e.g., London/New York)
Run on Desired Timeframe: Typically used on 15m–4H charts, depending on your strategy and the asset’s volatility.
Ideal For
• Traders using Smart Money Concepts (SMC)
• Those who value high-confluence entries
• Intraday to swing traders looking for structure-based automation
⚠️ Important Notes
• The strategy requires engulfing confirmation within the zone to enter a position.
• This script does not repaint and executes trades on a bar close basis.
• Backtest results may vary based on session filters and aggregation factor.
© Attribution
This strategy was developed by The_Forex_Steward and is licensed under the Mozilla Public License 2.0.
You are free to use, modify, and distribute it under the terms of that license.
