Quantum Market Harmonics [QMH]# Quantum Market Harmonics - TradingView Script Description
## 📊 OVERVIEW
Quantum Market Harmonics (QMH) is a comprehensive multi-dimensional trading indicator that combines four independent analytical frameworks to generate high-probability trading signals with quantifiable confidence scores. Unlike simple indicator combinations that display multiple tools side-by-side, QMH synthesizes temporal analysis, inter-market correlations, behavioral psychology, and statistical probabilities into a unified confidence scoring system that requires agreement across all dimensions before generating a confirmed signal.
---
## 🎯 WHAT MAKES THIS SCRIPT ORIGINAL
### The Core Innovation: Weighted Confidence Scoring
Most indicators provide binary signals (buy/sell) or display multiple indicators separately, leaving traders to interpret conflicting information. QMH's originality lies in its weighted confidence scoring system that:
1. **Combines Four Independent Methods** - Each framework (described below) operates independently and contributes points to an overall confidence score
2. **Requires Multi-Dimensional Agreement** - Signals only fire when multiple frameworks align, dramatically reducing false positives
3. **Quantifies Signal Strength** - Every signal includes a numerical confidence rating (0-100%), allowing traders to filter by quality
4. **Adapts to Market Conditions** - Different market regimes activate different component combinations
### Why This Combination is Useful
Traditional approaches suffer from:
- **Single-dimension bias**: RSI shows oversold, but trend is still down
- **Conflicting signals**: MACD says buy, but volume is weak
- **No prioritization**: All signals treated equally regardless of strength
QMH solves these problems by requiring multiple independent confirmations and weighting each component's contribution to the final signal. This multi-dimensional approach mirrors how professional traders analyze markets - not relying on one indicator, but waiting for multiple pieces of evidence to align.
---
## 🔬 THE FOUR ANALYTICAL FRAMEWORKS
### 1. Temporal Fractal Resonance (TFR)
**What It Does:**
Analyzes trend alignment across four different timeframes simultaneously (15-minute, 1-hour, 4-hour, and daily) to identify periods of multi-timeframe synchronization.
**How It Works:**
- Uses `request.security()` with `lookahead=barmerge.lookahead_off` to retrieve confirmed price data from each timeframe
- Calculates "fractal strength" for each timeframe using this formula:
```
Fractal Strength = (Rate of Change / Standard Deviation) × 100
```
This creates a momentum-to-volatility ratio that measures trend strength relative to noise
- Computes a Resonance Index when all four timeframes show the same directional bias
- The index averages the absolute strength values when all timeframes align
**Why This Method:**
Fractal Market Hypothesis suggests that price patterns repeat across different time scales. When trends align from short-term (15m) to long-term (Daily), the probability of trend continuation increases substantially. The momentum/volatility ratio filters out low-conviction moves where volatility dominates direction.
**Contribution to Confidence Score:**
- TFR Bullish = +25 points
- TFR Bearish = +25 points (to bearish confidence)
- No alignment = 0 points
---
### 2. Cross-Asset Quantum Entanglement (CAQE)
**What It Does:**
Analyzes correlation patterns between the current asset and three reference markets (Bitcoin, US Dollar Index, and Volatility Index) to identify both normal correlation behavior and anomalous breakdowns that often precede significant moves.
**How It Works:**
- Retrieves price data from BTC (BINANCE:BTCUSDT), DXY (TVC:DXY), and VIX (TVC:VIX) using confirmed bars
- Calculates Pearson correlation coefficient between the main asset and each reference:
```
Correlation = Covariance(X,Y) / (StdDev(X) × StdDev(Y))
```
- Computes an Intermarket Pressure Index by weighting each reference asset's momentum by its correlation strength:
```
Pressure = (Corr₁ × ROC₁ + Corr₂ × ROC₂ + Corr₃ × ROC₃) / 3
```
- Detects "correlation breakdowns" when average correlation drops below 0.3
**Why This Method:**
Markets don't operate in isolation. Inter-market analysis (developed by John Murphy) recognizes that:
- Crypto assets often correlate with Bitcoin
- Risk assets inversely correlate with VIX (fear gauge)
- Dollar strength affects commodity and crypto prices
When these normal correlations break down, it signals potential regime changes. The term "quantum" reflects the interconnected nature of these relationships - like quantum entanglement where distant particles influence each other.
**Contribution to Confidence Score:**
- CAQE Bullish (positive pressure, stable correlations) = +25 points
- CAQE Bearish (negative pressure, stable correlations) = +25 points (to bearish)
- Correlation breakdown = Warning marker (potential reversal zone)
---
### 3. Adaptive Market Psychology Matrix (AMPM)
**What It Does:**
Classifies the current market emotional state into six distinct categories by analyzing the interaction between momentum (RSI), volume behavior, and volatility acceleration (ATR change).
**How It Works:**
The system evaluates three metrics:
1. **RSI (14-period)**: Measures overbought/oversold conditions
2. **Volume Analysis**: Compares current volume to 20-period average
3. **ATR Rate of Change**: Detects volatility acceleration
Based on these inputs, the market is classified into:
- **Euphoria**: RSI > 80, volume spike present, volatility rising (extreme bullish emotion)
- **Greed**: RSI > 70, normal volume (moderate bullish emotion)
- **Neutral**: RSI 40-60, declining volatility (balanced state)
- **Fear**: RSI 40-60, low volatility (uncertainty without panic)
- **Panic**: RSI < 30, volume spike present, volatility rising (extreme bearish emotion)
- **Despair**: RSI < 20, normal volume (capitulation phase)
**Why This Method:**
Behavioral finance principles (Kahneman, Tversky) show that markets follow predictable emotional cycles. Extreme psychological states often mark reversal points because:
- At Euphoria/Greed peaks, everyone bullish has already bought (no buyers left)
- At Panic/Despair bottoms, everyone bearish has already sold (no sellers left)
AMPM provides contrarian signals at these extremes while respecting trends during Fear and Greed intermediate states.
**Contribution to Confidence Score:**
- Psychology Bullish (Panic/Despair + RSI < 35) = +15 points
- Psychology Bearish (Euphoria/Greed + RSI > 65) = +15 points
- Neutral states = 0 points
---
### 4. Time-Decay Probability Zones (TDPZ)
**What It Does:**
Creates dynamic support and resistance zones based on statistical probability distributions that adapt to changing market volatility, similar to Bollinger Bands but with enhancements for trend environments.
**How It Works:**
- Calculates a 20-period Simple Moving Average as the basis line
- Computes standard deviation of price over the same period
- Creates four probability zones:
- **Extreme Upper**: Basis + 2.5 standard deviations (≈99% probability boundary)
- **Upper Zone**: Basis + 1.5 standard deviations
- **Lower Zone**: Basis - 1.5 standard deviations
- **Extreme Lower**: Basis - 2.5 standard deviations (≈99% probability boundary)
- Dynamically adjusts zone width based on ATR (Average True Range):
```
Adjusted Upper = Upper Zone + (ATR × adjustment_factor)
Adjusted Lower = Lower Zone - (ATR × adjustment_factor)
```
- The adjustment factor increases during high volatility, widening the zones
**Why This Method:**
Traditional support/resistance levels are static and don't account for volatility regimes. TDPZ zones are probability-based and mean-reverting:
- Price has ≈99% probability of staying within extreme zones in normal conditions
- Touches to extreme zones represent statistical outliers (high-probability reversal opportunities)
- Zone expansion/contraction reflects volatility regime changes
- ATR adjustment prevents false signals during unusual volatility
The "time-decay" concept refers to mean reversion - the further price moves from the basis, the higher the probability of eventual return.
**Contribution to Confidence Score:**
- Price in Lower Extreme Zone = +15 points (bullish reversal probability)
- Price in Upper Extreme Zone = +15 points (bearish reversal probability)
- Price near basis = 0 points
---
## 🎯 HOW THE CONFIDENCE SCORING SYSTEM WORKS
### Signal Generation Formula
QMH calculates separate Bullish and Bearish confidence scores each bar:
**Bullish Confidence (0-100%):**
```
Base Score: 20 points
+ TFR Bullish: 25 points (if all 4 timeframes aligned bullish)
+ CAQE Bullish: 25 points (if intermarket pressure positive)
+ AMPM Bullish: 15 points (if Panic/Despair contrarian signal)
+ TDPZ Bullish: 15 points (if price in lower probability zones)
─────────
Maximum Possible: 100 points
```
**Bearish Confidence (0-100%):**
```
Base Score: 20 points
+ TFR Bearish: 25 points (if all 4 timeframes aligned bearish)
+ CAQE Bearish: 25 points (if intermarket pressure negative)
+ AMPM Bearish: 15 points (if Euphoria/Greed contrarian signal)
+ TDPZ Bearish: 15 points (if price in upper probability zones)
─────────
Maximum Possible: 100 points
```
### Confirmed Signal Requirements
A **QBUY** (Quantum Buy) signal generates when:
1. Bullish Confidence ≥ User-defined threshold (default 60%)
2. Bullish Confidence > Bearish Confidence
3. No active sell signal present
A **QSELL** (Quantum Sell) signal generates when:
1. Bearish Confidence ≥ User-defined threshold (default 60%)
2. Bearish Confidence > Bullish Confidence
3. No active buy signal present
### Why This Approach Is Different
**Example Comparison:**
Traditional RSI Strategy:
- RSI < 30 → Buy signal
- Result: May buy into falling knife if trend remains bearish
QMH Approach:
- RSI < 30 → Psychology shows Panic (+15 points)
- But requires additional confirmation:
- Are all timeframes also showing bullish reversal? (+25 points)
- Is intermarket pressure turning positive? (+25 points)
- Is price at a statistical extreme? (+15 points)
- Only when total ≥ 60 points does a QBUY signal fire
This multi-layer confirmation dramatically reduces false signals while maintaining sensitivity to genuine opportunities.
---
## 🚫 NO REPAINT GUARANTEE
**QMH is designed to be 100% repaint-free**, which is critical for honest backtesting and reliable live trading.
### Technical Implementation:
1. **All Multi-Timeframe Data Uses Confirmed Bars**
```pinescript
tf1_close = request.security(syminfo.tickerid, "15", close , lookahead=barmerge.lookahead_off)
```
Using `close ` instead of `close ` ensures we only reference the previous confirmed bar, not the current forming bar.
2. **Lookahead Prevention**
```pinescript
lookahead=barmerge.lookahead_off
```
This parameter prevents the function from accessing future data that wouldn't be available in real-time.
3. **Signal Timing**
Signals appear on the bar AFTER all conditions are met, not retroactively on the bar where conditions first appeared.
### What This Means for Users:
- **Backtest Accuracy**: Historical signals match exactly what you would have seen in real-time
- **No Disappearing Signals**: Once a signal appears, it stays (though price may move against it)
- **Honest Performance**: Results reflect true predictive power, not hindsight optimization
- **Live Trading Reliability**: Alerts fire at the same time signals appear on the chart
The dashboard displays "✓ NO REPAINT" to confirm this guarantee.
---
## 📖 HOW TO USE THIS INDICATOR
### Basic Trading Strategy
**For Trend Followers:**
1. **Wait for Signal Confirmation**
- QBUY label appears below a bar = Confirmed bullish entry opportunity
- QSELL label appears above a bar = Confirmed bearish entry opportunity
2. **Check Confidence Score**
- 60-70%: Moderate confidence (consider smaller position size)
- 70-85%: High confidence (standard position size)
- 85-100%: Very high confidence (consider larger position size)
3. **Enter Trade**
- Long entry: Market or limit order near signal bar
- Short entry: Market or limit order near signal bar
4. **Set Targets Using Probability Zones**
- Long trades: Target the adjusted upper zone (lime line)
- Short trades: Target the adjusted lower zone (red line)
- Alternatively, target the basis line (yellow) for conservative exits
5. **Set Stop Loss**
- Long trades: Below recent swing low minus 1 ATR
- Short trades: Above recent swing high plus 1 ATR
**For Mean Reversion Traders:**
1. **Wait for Extreme Zones**
- Price touches extreme lower zone (dotted red line below)
- Price touches extreme upper zone (dotted lime line above)
2. **Confirm with Psychology**
- At lower extreme: Look for Panic or Despair state
- At upper extreme: Look for Euphoria or Greed state
3. **Wait for Confidence Build**
- Monitor dashboard until confidence exceeds threshold
- Requires patience - extreme touches don't always reverse immediately
4. **Enter Reversal**
- Target: Return to basis line (yellow SMA 20)
- Stop: Beyond the extreme zone
**For Position Traders (Longer Timeframes):**
1. **Use Daily Timeframe**
- Set chart to daily for longer-term signals
- Signals will be less frequent but higher quality
2. **Require High Confidence**
- Filter setting: Min Confidence Score 80%+
- Only take the strongest multi-dimensional setups
3. **Confirm with Resonance Background**
- Green tinted background = All timeframes bullish aligned
- Red tinted background = All timeframes bearish aligned
- Only enter when background tint matches signal direction
4. **Hold for Major Targets**
- Long trades: Hold until extreme upper zone or opposite signal
- Short trades: Hold until extreme lower zone or opposite signal
---
## 📊 DASHBOARD INTERPRETATION
The QMH Dashboard (top-right corner) provides real-time market analysis across all four dimensions:
### Dashboard Elements:
1. **✓ NO REPAINT**
- Green confirmation that signals don't repaint
- Always visible to remind users of signal integrity
2. **SIGNAL: BULL/BEAR XX%**
- Shows dominant direction (whichever confidence is higher)
- Displays current confidence percentage
- Background color intensity reflects confidence level
3. **Psychology: **
- Current market emotional state
- Color coded:
- Orange = Euphoria (extreme bullish emotion)
- Yellow = Greed (moderate bullish emotion)
- Gray = Neutral (balanced state)
- Purple = Fear (uncertainty)
- Red = Panic (extreme bearish emotion)
- Dark red = Despair (capitulation)
4. **Resonance: **
- Multi-timeframe alignment strength
- Positive = All timeframes bullish aligned
- Negative = All timeframes bearish aligned
- Near zero = Timeframes not synchronized
- Emoji indicator: 🔥 (bullish resonance) ❄️ (bearish resonance)
5. **Intermarket: **
- Cross-asset pressure measurement
- Positive = BTC/DXY/VIX correlations supporting upside
- Negative = Correlations supporting downside
- Warning ⚠️ if correlation breakdown detected
6. **RSI: **
- Current RSI(14) reading
- Background colors: Red (>70 overbought), Green (<30 oversold)
- Status: OB (overbought), OS (oversold), or • (neutral)
7. **Status: READY BUY / READY SELL / WAIT**
- Quick trade readiness indicator
- READY BUY: Confidence ≥ threshold, bias bullish
- READY SELL: Confidence ≥ threshold, bias bearish
- WAIT: Confidence below threshold
### How to Use Dashboard:
**Before Entering a Trade:**
- Verify Status shows READY (not WAIT)
- Check that Resonance matches signal direction
- Confirm Psychology isn't contradicting (e.g., buying during Euphoria)
- Note Intermarket value - breakdowns (⚠️) suggest caution
**During a Trade:**
- Monitor Psychology shifts (e.g., from Fear to Greed in a long)
- Watch for Resonance changes that could signal exit
- Check for Intermarket breakdown warnings
---
## ⚙️ CUSTOMIZATION SETTINGS
### TFR Settings (Temporal Fractal Resonance)
- **Enable/Disable**: Turn TFR analysis on/off
- **Fractal Sensitivity** (5-50, default 14):
- Lower values = More responsive to short-term changes
- Higher values = More stable, slower to react
- Recommendation: 14 for balanced, 7 for scalping, 21 for position trading
### CAQE Settings (Cross-Asset Quantum Entanglement)
- **Enable/Disable**: Turn CAQE analysis on/off
- **Asset 1** (default BTC): Reference asset for correlation analysis
- **Asset 2** (default DXY): Second reference asset
- **Asset 3** (default VIX): Third reference asset
- **Correlation Length** (10-100, default 20):
- Lower values = More sensitive to recent correlation changes
- Higher values = More stable correlation measurements
- Recommendation: 20 for most assets, 50 for less volatile markets
### Psychology Settings (Adaptive Market Psychology Matrix)
- **Enable/Disable**: Turn AMPM analysis on/off
- **Volume Spike Threshold** (1.0-5.0x, default 2.0):
- Lower values = Detect smaller volume increases as spikes
- Higher values = Only flag major volume surges
- Recommendation: 2.0 for stocks, 1.5 for crypto
### Probability Settings (Time-Decay Probability Zones)
- **Enable/Disable**: Turn TDPZ visualization on/off
- **Probability Lookback** (20-200, default 50):
- Lower values = Zones adapt faster to recent price action
- Higher values = Zones based on longer statistical history
- Recommendation: 50 for most uses, 100 for position trading
### Filter Settings
- **Min Confidence Score** (40-95%, default 60%):
- Lower threshold = More signals, more false positives
- Higher threshold = Fewer signals, higher quality
- Recommendation: 60% for active trading, 75% for selective trading
### Visual Settings
- **Show Entry Signals**: Toggle QBUY/QSELL labels on chart
- **Show Probability Zones**: Toggle zone visualization
- **Show Psychology State**: Toggle dashboard display
---
## 🔔 ALERT CONFIGURATION
QMH includes four alert conditions that can be configured via TradingView's alert system:
### Available Alerts:
1. **Quantum Buy Signal**
- Fires when: Confirmed QBUY signal generates
- Message includes: Confidence percentage
- Use for: Entry notifications
2. **Quantum Sell Signal**
- Fires when: Confirmed QSELL signal generates
- Message includes: Confidence percentage
- Use for: Entry notifications or exit warnings
3. **Market Panic**
- Fires when: Psychology state reaches Panic
- Use for: Contrarian opportunity alerts
4. **Market Euphoria**
- Fires when: Psychology state reaches Euphoria
- Use for: Reversal warning alerts
### How to Set Alerts:
1. Right-click on chart → "Add Alert"
2. Condition: Select "Quantum Market Harmonics"
3. Choose alert type from dropdown
4. Configure expiration, frequency, and notification method
5. Create alert
**Recommendation**: Set alerts for Quantum Buy/Sell signals with "Once Per Bar Close" frequency to avoid intra-bar false triggers.
---
## 💡 BEST PRACTICES
### For All Users:
1. **Backtest First**
- Test on your specific market and timeframe before live trading
- Different assets may perform better with different confidence thresholds
- Verify that the No Repaint guarantee works as described
2. **Paper Trade**
- Practice with signals on a demo account first
- Understand typical signal frequency for your timeframe
- Get comfortable with the dashboard interpretation
3. **Risk Management**
- Never risk more than 1-2% of capital per trade
- Use proper stop losses (not just mental stops)
- Position size based on confidence score (larger size at higher confidence)
4. **Consider Context**
- QMH signals work best in clear trends or at extremes
- During tight consolidation, false signals increase
- Major news events can invalidate technical signals
### Optimal Use Cases:
**QMH Works Best When:**
- ✅ Markets are trending (up or down)
- ✅ Volatility is normal to elevated
- ✅ Price reaches probability zone extremes
- ✅ Multiple timeframes align
- ✅ Clear inter-market relationships exist
**QMH Is Less Effective When:**
- ❌ Extremely low volatility (zones contract too much)
- ❌ Sideways choppy markets (conflicting timeframes)
- ❌ Flash crashes or news events (correlations break down)
- ❌ Very illiquid assets (irregular price action)
### Session Considerations:
- **24/7 Markets (Crypto)**: Works on all sessions, but signals may be more reliable during high-volume periods (US/European trading hours)
- **Forex**: Best during London/New York overlap when volume is highest
- **Stocks**: Most reliable during regular trading hours (not pre-market/after-hours)
---
## ⚠️ LIMITATIONS AND RISKS
### This Indicator Cannot:
- **Predict Black Swan Events**: Sudden unexpected events invalidate technical analysis
- **Guarantee Profits**: No indicator is 100% accurate; losses will occur
- **Replace Risk Management**: Always use stop losses and proper position sizing
- **Account for Fundamental Changes**: Company news, economic data, etc. can override technical signals
- **Work in All Market Conditions**: Less effective during extreme low volatility or major news events
### Known Limitations:
1. **Multi-Timeframe Lag**: Uses confirmed bars (`close `), so signals appear one bar after conditions met
2. **Correlation Dependency**: CAQE requires sufficient history; may be less reliable on newly listed assets
3. **Computational Load**: Multiple `request.security()` calls may cause slower performance on older devices
4. **Repaint of Dashboard**: Dashboard updates every bar (by design), but signals themselves don't repaint
### Risk Warnings:
- Past performance doesn't guarantee future results
- Backtesting results may not reflect actual trading results due to slippage, commissions, and execution delays
- Different markets and timeframes may produce different results
- The indicator should be used as a tool, not as a standalone trading system
- Always combine with your own analysis, risk management, and trading plan
---
## 🎓 EDUCATIONAL CONCEPTS
This indicator synthesizes several established financial theories and technical analysis concepts:
### Academic Foundations:
1. **Fractal Market Hypothesis** (Edgar Peters)
- Markets exhibit self-similar patterns across time scales
- Implemented via multi-timeframe resonance analysis
2. **Behavioral Finance** (Kahneman & Tversky)
- Investor psychology drives market inefficiencies
- Implemented via market psychology state classification
3. **Intermarket Analysis** (John Murphy)
- Asset classes correlate and influence each other predictably
- Implemented via cross-asset correlation monitoring
4. **Mean Reversion** (Statistical Arbitrage)
- Prices tend to revert to statistical norms
- Implemented via probability zones and standard deviation bands
5. **Multi-Timeframe Analysis** (Technical Analysis Standard)
- Higher timeframe trends dominate lower timeframe noise
- Implemented via fractal resonance scoring
### Learning Resources:
To better understand the concepts behind QMH:
- Read "Intermarket Analysis" by John Murphy (for CAQE concepts)
- Study "Thinking, Fast and Slow" by Daniel Kahneman (for psychology concepts)
- Review "Fractal Market Analysis" by Edgar Peters (for TFR concepts)
- Learn about Bollinger Bands (for TDPZ foundation)
---
## 🔄 VERSION HISTORY AND UPDATES
**Current Version: 1.0**
This is the initial public release. Future updates will be published using TradingView's Update feature (not as separate publications). Planned improvements may include:
- Additional reference assets for CAQE
- Optional machine learning-based weight optimization
- Customizable psychology state definitions
- Alternative probability zone calculations
- Performance metrics tracking
Check the "Updates" tab on the script page for version history.
---
## 📞 SUPPORT AND FEEDBACK
### How to Get Help:
1. **Read This Description First**: Most questions are answered in the detailed sections above
2. **Check Comments**: Other users may have asked similar questions
3. **Post Comments**: For general questions visible to the community
4. **Use TradingView Messaging**: For private inquiries (if available)
### Providing Useful Feedback:
When reporting issues or suggesting improvements:
- Specify your asset, timeframe, and settings
- Include a screenshot if relevant
- Describe expected vs. actual behavior
- Check if issue persists with default settings
### Continuous Improvement:
This indicator will evolve based on user feedback and market testing. Constructive suggestions for improvements are always welcome.
---
## ⚖️ DISCLAIMER
This indicator is provided for **educational and informational purposes only**. It does **not constitute financial advice, investment advice, trading advice, or any other type of advice**.
**Important Disclaimers:**
- You should **not** rely solely on this indicator to make trading decisions
- Always conduct your own research and due diligence
- Past performance is not indicative of future results
- Trading and investing involve substantial risk of loss
- Only trade with capital you can afford to lose
- Consider consulting with a licensed financial advisor before trading
- The author is not responsible for any trading losses incurred using this indicator
**By using this indicator, you acknowledge:**
- You understand the risks of trading
- You take full responsibility for your trading decisions
- You will use proper risk management techniques
- You will not hold the author liable for any losses
---
## 🙏 ACKNOWLEDGMENTS
This indicator builds upon the collective knowledge of the technical analysis and trading community. While the specific implementation and combination are original, the underlying concepts draw from:
- The Pine Script community on TradingView
- Academic research in behavioral finance and market microstructure
- Classical technical analysis methods developed over decades
- Open-source indicators that demonstrate best practices in Pine Script coding
Special thanks to TradingView for providing the platform and Pine Script language that make indicators like this possible.
---
## 📚 ADDITIONAL RESOURCES
**Pine Script Documentation:**
- Official Pine Script Manual: www.tradingview.com
**Related Concepts to Study:**
- Multi-timeframe analysis techniques
- Correlation analysis in financial markets
- Behavioral finance principles
- Mean reversion strategies
- Bollinger Bands methodology
**Recommended TradingView Tools:**
- Strategy Tester: To backtest signal performance
- Bar Replay: To see how signals develop in real-time
- Alert System: To receive notifications of new signals
---
**Thank you for using Quantum Market Harmonics. Trade safely and responsibly.**
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SMC 自動交易 - 4HR- BTC適用# SMC Automated Trading Strategy Whitepaper - Stepped Enhanced Edition
## 1. Strategy Overview
This strategy is designed based on the Smart Money Concept (SMC), integrating Order Block (OB), Change of Character (CHoCH), and strict pullback confirmation conditions. The goal is to enhance trading accuracy and strictly control risk, specifically tailored for trading competitions, meeting the requirements of stability and efficiency.
### Core Strategy Concepts:
- Precise identification of key trend reversal points.
- Strict pullback confirmation to avoid chasing tops or bottoms.
- Clear risk management and take-profit mechanisms to maintain stable risk-reward ratio.
- Supports trading time filtering (Kill Zone) to capture prime volatility windows.
- Multiple visual aids for quick in-trade signal recognition.
## 2. Strategy Logic Flow
### 1. Kill Zone (Optional Activation)
- Default trading time: Taiwan time 15:00 - 18:00.
- Purpose: Focus on high-volatility periods to reduce false signals in choppy markets.
### 2. Order Block Detection
- Current candle range exceeds the previous candle by a specified multiplier (default 0.8).
- Bullish OB: Bullish candle with expanded range.
- Bearish OB: Bearish candle with expanded range.
- Flexible OB sensitivity adjustment according to market volatility.
### 3. Change of Character (CHoCH)
- Initial trend reversal confirmation:
- Bullish CHoCH: Close above previous candle’s high.
- Bearish CHoCH: Close below previous candle’s low.
### 4. Pullback Confirmation (Core Condition)
- Avoid premature entries by requiring a pullback to the prior OB:
- Long: Pullback touches the previous Bullish OB high.
- Short: Pullback touches the previous Bearish OB low.
### 5. Fair Value Gap (FVG) Detection (Optional)
- Detect price imbalances as additional confirmation signals.
## 3. Entry Logic
### Long Position:
- Previous Bullish OB is formed.
- Current candle completes a pullback to the prior OB high.
- Current candle closes above the previous high (CHoCH confirmation).
- (Optional) Within Kill Zone.
### Short Position:
- Previous Bearish OB is formed.
- Current candle completes a pullback to the prior OB low.
- Current candle closes below the previous low (CHoCH confirmation).
- (Optional) Within Kill Zone.
## 4. Risk Management & Exit Strategy
### Stop Loss:
- Long: Current candle’s low minus buffer points (default 50 points).
- Short: Current candle’s high plus buffer points (default 50 points).
### Take Profit:
- Default Risk-Reward Ratio (RR): 2.0 (customizable).
- Automatically calculates target take-profit level.
### Full Automation:
- This is a fully automated strategy. Orders are placed automatically upon conditions being met, requiring no manual intervention.
## 5. Visual Aids
- Bullish OB: Green upward triangle.
- Bearish OB: Red downward triangle.
- Bullish CHoCH: Blue circle.
- Bearish CHoCH: Orange circle.
- FVG: Highlighted zones (optional).
> **Advantage:** Quick market status recognition during trades, improving strategy transparency.
## 6. Strategy Advantages
✅ Dual trend reversal confirmation: OB + CHoCH.
✅ Strict pullback requirement to reduce false breakouts.
✅ Clear risk control and stable risk-reward ratio.
✅ Visual aids + time filter for clear in-trade decisions.
✅ Fully automated trading reduces human error.
## 7. Application Scenarios
- Trading competitions: Designed for high win-rate and strict risk control.
- FTMO and similar evaluation challenges.
- Intraday or swing trading strategy frameworks.
- High-volatility assets: Crypto / Forex / Index CFDs.
## 8. Risk Warning
- Strategy is based on historical backtesting; live trading should consider slippage and liquidity risks.
- During high volatility periods, use proper money management tools and strictly execute stop losses.
## 9. Version Note
Version: Stepped Enhanced Edition (Updated April 2025)
Developer: natwad3000
PRIMO+ (dc_77)PRIMO+ (dc_77) - Advanced Multi-Session Trading System
Overview
This comprehensive trading indicator combines market structure analysis, Fair Value Gap (FVG) detection, and multi-timeframe bias assessment to identify high-probability trading opportunities during key market sessions. The system operates on a sophisticated framework that evaluates market sentiment across multiple reference points and provides complete trade management projections.
Core Features
Multi-Timeframe Bias System
The indicator establishes directional bias by analyzing price action relative to four critical reference points:
- 18:00 NY Open: Previous day's market opening level
- 00:00 Midnight: Daily reset reference price
- 09:30 NY Open: Current session market opening
- 09:45 NY Open: Key institutional entry timeframe
Bias Logic:
- LONGS Bias: Price trading below ALL reference levels (institutional accumulation zone)
- SHORTS Bias: Price trading above ALL reference levels (institutional distribution zone)
- BEWARE: Mixed signals across reference points (avoid trading)
Four-Session Architecture
The system monitors four distinct trading sessions, each representing different market participant activities:
1. Session 1 (09:45-10:20): London/NY overlap - high liquidity period
2. Session 2 (10:45-11:30): NY continuation - institutional positioning
3. Session 3 (13:50-14:10): Pre-close positioning - smart money moves
4. Session 4 (15:50-16:05): Market close - final institutional plays
Each session can be individually enabled/disabled with custom time ranges.
Advanced Fair Value Gap Detection
The indicator identifies three-candle imbalances using sophisticated filtering:
FVG Classification:
- Bullish FVGs: Gaps between candle 3 high and candle 1 low (upward imbalance)
- Bearish FVGs: Gaps between candle 1 high and candle 3 low (downward imbalance)
Dynamic Filtering System:
- Bias alignment filtering (only shows FVGs aligned with overall market bias)
- Trend direction filtering (FVGs must align with market structure)
- Session-based activation/deactivation
- Real-time gap validation and invalidation
Market Structure Shift (MSS) Detection
Proprietary swing-based algorithm identifies significant market structure changes:
- Bullish MSS: Price breaks above previous significant high with trend confirmation
- Bearish MSS: Price breaks below previous significant low with trend confirmation
- Dynamic Lookback: Configurable swing detection sensitivity (4-5 bar pivots)
Comprehensive Risk Management System
When conditions align, the indicator projects complete trade setups:
Entry Methodology:
- FVG center point calculated using mathematical precision
- Entry triggered only when MSS occurs with aligned bias
- Confirmation timer prevents false signals (22-second default validation)
Stop Loss Calculation:
- Dynamic SL placement based on FVG displacement
- 1.15x multiplier applied to gap distance for optimal risk positioning
- Adaptive to market volatility and gap size
Take Profit Projections:
- Five sequential TP levels (1:1 through 1:5 risk-reward ratios)
- Mathematical progression based on initial risk calculation
- Visual projection lines extend into future bars
Visual Signal System
Trade Signals:
- Green up arrows for bullish setups (positioned below stop loss level)
- Red down arrows for bearish setups (positioned above stop loss level)
- Optional date stamps showing signal generation time
Projection Lines:
- Entry level (gray dotted line)
- Stop loss level (red line)
- Multiple take profit levels (green lines with ratio labels)
- Customizable line styles and widths
Alert Integration
Real-time notifications when complete setups form:
- Bar-close confirmation prevents false alerts
- Separate bull/bear alert messages
- Integration with TradingView's alert system
- Optional sound notifications
Configuration Options
Display Settings
- Session Anchor Lines: Visual markers for session starts
- MSS Lines: Market structure shift visualization
- Trend Lines: ZigZag pattern display
- Signal Arrows: Entry point indicators
- Date Labels: Timestamp display for signals
Color Customization
- Bullish FVG color and transparency
- Bearish FVG color and transparency
- MSS line colors (separate bull/bear)
- Projection line colors
- Stop loss and take profit colors
Risk Parameters
- Confirmation time adjustment (prevents false signals)
- Risk-reward multiplier customization
- Projection line extension length
- Label and arrow size options
Usage Guidelines
Trading Sessions
Best performance during specified session times when institutional activity is highest. The system automatically adjusts for New York timezone.
Entry Criteria
All conditions must align for signal generation:
1. Appropriate market bias established
2. FVG present and validated within session
3. Market structure shift in aligned direction
4. Confirmation timer validation passed
Risk Management
- Always respect projected stop loss levels
- Consider partial profit-taking at projected TP levels
Important Disclaimers
This indicator is for educational and analytical purposes. All trading involves risk, and past performance does not guarantee future results. Users should:
- Practice proper risk management
- Backtest thoroughly before live trading
- Understand all system components before use
- Never risk more than affordable loss amounts
The system provides analysis tools and projections but does not guarantee profitable trades. Market conditions change rapidly, and no indicator can predict future price movements with certainty.
Additional Risk Warnings and Disclaimers
Trading Addiction and Mental Health: Trading can become psychologically addictive and may lead to compulsive behavior, financial ruin, and severe emotional distress. If you find yourself unable to stop trading, risking money you cannot afford to lose, neglecting personal relationships or responsibilities, or experiencing extreme emotional swings based on trading outcomes, please seek help from a qualified mental health professional. The excitement of potential profits can mask serious underlying issues with impulse control and risk-taking behavior.
No Guarantee of Performance: This indicator has not been independently verified or audited. Backtesting results may not reflect actual trading conditions due to market slippage, execution delays, spread variations, and changing market dynamics. Historical performance is not indicative of future results, and all trading strategies can and do lose money.
Market Risk Acknowledgment: Financial markets can experience extreme volatility, flash crashes, liquidity crises, and unprecedented events that render technical analysis ineffective. Economic announcements, geopolitical events, and central bank policies can cause rapid price movements that invalidate technical setups instantly.
Position Sizing and Capital Preservation: Never risk more than 1-2% of your total account on any single trade. Proper position sizing is more important than any trading signal. Multiple consecutive losses are normal and expected - ensure your account can withstand extended drawdown periods without impairing your ability to continue trading or meet personal financial obligations.
Educational Purpose Only: This tool is designed for educational analysis and should not be construed as personalized financial advice. Consult with qualified financial advisors before making investment decisions. The creators assume no responsibility for any financial losses incurred through use of this indicator.
Maiko Range Scalper (Sideways BB + RSI) – v4 cleanPurpose
It’s a range scalping strategy for crypto. It tries to take small, repeatable trades inside a sideways market: buy near the bottom of the range, sell near the middle/top (and the reverse for shorts).
Core idea (two timeframes)
Define the trading range on a higher timeframe (HTF)
You choose the HTF (e.g., 15m or 1h).
The script finds the highest high and lowest low over a lookback window (e.g., last 96 HTF candles) → these become HTF Resistance and HTF Support.
It also calculates the midline (average of support/resistance).
Trade signals on your lower timeframe (LTF)
You run the strategy on a fast chart (e.g., 1m or 5m).
Entries are only allowed inside the HTF range.
Entry logic (mean reversion)
Indicators on the LTF:
Bollinger Bands (length & std dev configurable).
RSI (length & thresholds configurable).
Optional VWAP proximity filter (price must be within X% of VWAP).
Long setup:
Price touches/under-cuts the lower Bollinger band AND RSI ≤ threshold (default 30) AND price is inside the HTF range (and passes VWAP filter if enabled).
Short setup:
Price touches/exceeds the upper Bollinger band AND RSI ≥ threshold (default 70) AND price is inside the HTF range (and passes VWAP filter if enabled).
Exits and risk
Stop-loss: placed just outside the HTF range with a configurable buffer %:
Long SL = HTF Support × (1 − buffer).
Short SL = HTF Resistance × (1 + buffer).
Take-profit (selectable):
Mid band (the Bollinger basis) → conservative, faster exits.
Opposite band / HTF boundary → more aggressive, higher RR but more give-backs.
Position sizing
A simple cap: maximum position size = percent of account equity (e.g., 20%).
The script calculates quantity from that cap and current price.
Plots you’ll see on the chart
HTF Resistance (red) and HTF Support (green) via plot().
HTF Midline (gray dashed) drawn with a line.new() object (because plot() cannot do dashed).
Bollinger basis/upper/lower on the LTF.
Optional VWAP line (only shown if you enable the filter).
Signal markers (green triangle up for Long setups, red triangle down for Short setups).
Alerts
Two alertconditions:
“Long Setup” – when a long entry condition appears.
“Short Setup” – when a short entry condition appears.
Create alerts from these to get notified in real time.
How to use it (quick start)
Add to a 1m or 5m chart of a liquid coin (BTC, ETH, SOL).
Set HTF timeframe (start with 1h) and lookback (e.g., 96 = ~4 days on 1h).
Keep default Bollinger/RSI first; tune later.
Choose TP mode:
“Mid band” for quick scalps.
“Opposite band/Range” if the range is very clean and you want bigger targets.
Set SL buffer (0.15–0.30% is common; adjust for volatility).
Set Max position % to control size (e.g., 20%).
(Optional) Enable VWAP filter to skip stretched moves.
When it works best
Clearly sideways markets with visible support/resistance on the HTF.
High-liquidity pairs where spreads/fees are small relative to your scalp target.
Limitations & safety notes
True breakouts will invalidate mean-reversion logic—your SL outside the range is there to cut losses fast.
Fees can eat into small scalps—prefer limit orders, rebates, and liquid pairs.
Backtest results vary by exchange data; always forward-test on small size.
If you want, I can:
Add an ATR-based stop/target option.
Provide a study-only version (signals/alerts, no trading engine).
Pre-set risk to your €5,000 plan (e.g., ~0.5% max loss/trade) with calculated qty.
Instant Breakout Strategy with RSI & VWAPInstant Breakout Strategy with RSI & VWAP
This TradingView strategy (Pine Script v6) trades breakouts using pivot points, with optional filters for volume, momentum, RSI, and VWAP. It’s optimized for the 1-second timeframe.
Overview
The strategy identifies breakouts when price crosses above resistance (pivot highs) or below support (pivot lows). It can use basic pivot breakouts or add filters for stronger signals. Take-profit and stop-loss levels are set using ATR, and signals are shown on the chart.
Inputs
Left/Right Pivot Bars: Bars to detect pivots (default: 3). Lower values increase sensitivity.
Volume Surge Multiplier: Volume threshold vs. 20-period average (default: 1.5).
Momentum Threshold: Minimum % price change from bar open (default: 1%).
Take-Profit ATR Multiplier: ATR multiplier for take-profit (default: 9.0).
Stop-Loss ATR Multiplier: ATR multiplier for stop-loss (default: 1.0).
Use Filters: Enable/disable volume, momentum, RSI, and VWAP filters (default: off).
How It Works
1. Pivot Detection
Finds pivot highs (resistance) and lows (support) using ta.pivothigh and ta.pivotlow.
Tracks the latest pivot levels.
2. Volume Surge
Compares current volume to a 20-period volume average.
A surge occurs if volume exceeds the average times the multiplier.
3. Momentum
Measures price change from the bar’s open.
Bullish: Price rises >1% from open.
Bearish: Price falls >1% from open.
4. RSI and VWAP
RSI: 3-period RSI. Above 50 is bullish; below 50 is bearish.
VWAP: Price above VWAP is bullish; below is bearish.
5. ATR
14-period ATR sets take-profit (close ± atr * 9.0) and stop-loss (close ± atr * 1.0).
Trading Rules
Breakout Conditions
Bullish Breakout:
Price crosses above the latest pivot high.
With filters: Volume surge, bullish momentum, RSI > 50, price > VWAP.
Without filters: Only the crossover is needed.
Bearish Breakout:
Price crosses below the latest pivot low.
With filters: Volume surge, bearish momentum, RSI < 50, price < VWAP.
Without filters: Only the crossunder is needed.
Entries and Exits
Long: Enter on bullish breakout. Set take-profit and stop-loss. Close any short position.
Short: Enter on bearish breakout. Set take-profit and stop-loss. Close any long position.
Visuals
Signals: Green triangles (bullish) below bars, red triangles (bearish) above bars.
Pivot Levels: Green line (resistance), red line (support).
Indicators: RSI (blue, separate pane), VWAP (purple, on chart).
How to Use
Apply to a 1-second chart in TradingView for best results.
Adjust inputs (e.g., pivot bars, multipliers). Enable filters for stricter signals.
Watch for buy/sell triangles and monitor RSI/VWAP.
Use ATR-based take-profit/stop-loss for risk management.
Notes
Best on 1-second timeframe due to fast RSI and responsiveness.
Disable filters for more signals (less confirmation).
Backtest before live trading to check performance.
This strategy uses pivots, volume, momentum, RSI, and VWAP for clear breakout trades on the 1-second timeframe.
Mutanabby_AI | Algo Pro Strategy# Mutanabby_AI | Algo Pro Strategy: Advanced Candlestick Pattern Trading System
## Strategy Overview
The Mutanabby_AI Algo Pro Strategy represents a systematic approach to automated trading based on advanced candlestick pattern recognition and multi-layered technical filtering. This strategy transforms traditional engulfing pattern analysis into a comprehensive trading system with sophisticated risk management and flexible position sizing capabilities.
The strategy operates on a long-only basis, entering positions when bullish engulfing patterns meet specific technical criteria and exiting when bearish engulfing patterns indicate potential trend reversals. The system incorporates multiple confirmation layers to enhance signal reliability while providing comprehensive customization options for different trading approaches and risk management preferences.
## Core Algorithm Architecture
The strategy foundation relies on bullish and bearish engulfing candlestick pattern recognition enhanced through technical analysis filtering mechanisms. Entry signals require simultaneous satisfaction of four distinct criteria: confirmed bullish engulfing pattern formation, candle stability analysis indicating decisive price action, RSI momentum confirmation below specified thresholds, and price decline verification over adjustable lookback periods.
The candle stability index measures the ratio between candlestick body size and total range including wicks, ensuring only well-formed patterns with clear directional conviction generate trading signals. This filtering mechanism eliminates indecisive market conditions where pattern reliability diminishes significantly.
RSI integration provides momentum confirmation by requiring oversold conditions before entry signal generation, ensuring alignment between pattern formation and underlying momentum characteristics. The RSI threshold remains fully adjustable to accommodate different market conditions and volatility environments.
Price decline verification examines whether current prices have decreased over a specified period, confirming that bullish engulfing patterns occur after meaningful downward movement rather than during sideways consolidation phases. This requirement enhances the probability of successful reversal pattern completion.
## Advanced Position Management System
The strategy incorporates dual position sizing methodologies to accommodate different account sizes and risk management approaches. Percentage-based position sizing calculates trade quantities as equity percentages, enabling consistent risk exposure across varying account balances and market conditions. This approach proves particularly valuable for systematic trading approaches and portfolio management applications.
Fixed quantity sizing provides precise control over trade sizes independent of account equity fluctuations, offering predictable position management for specific trading strategies or when implementing precise risk allocation models. The system enables seamless switching between sizing methods through simple configuration adjustments.
Position quantity calculations integrate seamlessly with TradingView's strategy testing framework, ensuring accurate backtesting results and realistic performance evaluation across different market conditions and time periods. The implementation maintains consistency between historical testing and live trading applications.
## Comprehensive Risk Management Framework
The strategy features dual stop loss methodologies addressing different risk management philosophies and market analysis approaches. Entry price-based stop losses calculate stop levels as fixed percentages below entry prices, providing predictable risk exposure and consistent risk-reward ratio maintenance across all trades.
The percentage-based stop loss system enables precise risk control by limiting maximum loss per trade to predetermined levels regardless of market volatility or entry timing. This approach proves essential for systematic trading strategies requiring consistent risk parameters and capital preservation during adverse market conditions.
Lowest low-based stop losses identify recent price support levels by analyzing minimum prices over adjustable lookback periods, placing stops below these technical levels with additional buffer percentages. This methodology aligns stop placement with market structure rather than arbitrary percentage calculations, potentially improving stop loss effectiveness during normal market fluctuations.
The lookback period adjustment enables optimization for different timeframes and market characteristics, with shorter periods providing tighter stops for active trading and longer periods offering broader stops suitable for position trading approaches. Buffer percentage additions ensure stops remain below obvious support levels where other market participants might place similar orders.
## Visual Customization and Interface Design
The strategy provides comprehensive visual customization through eight predefined color schemes designed for different chart backgrounds and personal preferences. Color scheme options include Classic bright green and red combinations, Ocean themes featuring blue and orange contrasts, Sunset combinations using gold and crimson, and Neon schemes providing high visibility through bright color selections.
Professional color schemes such as Forest, Royal, and Fire themes offer sophisticated alternatives suitable for business presentations and professional trading environments. The Custom color scheme enables precise color selection through individual color picker controls, maintaining maximum flexibility for specific visual requirements.
Label styling options accommodate different chart analysis preferences through text bubble, triangle, and arrow display formats. Size adjustments range from tiny through huge settings, ensuring appropriate visual scaling across different screen resolutions and chart configurations. Text color customization maintains readability across various chart themes and background selections.
## Signal Quality Enhancement Features
The strategy incorporates signal filtering mechanisms designed to eliminate repetitive signal generation during choppy market conditions. The disable repeating signals option prevents consecutive identical signals until opposing conditions occur, reducing overtrading during consolidation phases and improving overall signal quality.
Signal confirmation requirements ensure all technical criteria align before trade execution, reducing false signal occurrence while maintaining reasonable trading frequency for active strategies. The multi-layered approach balances signal quality against opportunity frequency through adjustable parameter optimization.
Entry and exit visualization provides clear trade identification through customizable labels positioned at relevant price levels. Stop loss visualization displays active risk levels through colored line plots, ensuring complete transparency regarding current risk management parameters during live trading operations.
## Implementation Guidelines and Optimization
The strategy performs effectively across multiple timeframes with optimal results typically occurring on intermediate timeframes ranging from fifteen minutes through four hours. Higher timeframes provide more reliable pattern formation and reduced false signal occurrence, while lower timeframes increase trading frequency at the expense of some signal reliability.
Parameter optimization should focus on RSI threshold adjustments based on market volatility characteristics and candlestick pattern timeframe analysis. Higher RSI thresholds generate fewer but potentially higher quality signals, while lower thresholds increase signal frequency with corresponding reliability considerations.
Stop loss method selection depends on trading style preferences and market analysis philosophy. Entry price-based stops suit systematic approaches requiring consistent risk parameters, while lowest low-based stops align with technical analysis methodologies emphasizing market structure recognition.
## Performance Considerations and Risk Disclosure
The strategy operates exclusively on long positions, making it unsuitable for bear market conditions or extended downtrend periods. Users should consider market environment analysis and broader trend assessment before implementing the strategy during adverse market conditions.
Candlestick pattern reliability varies significantly across different market conditions, with higher reliability typically occurring during trending markets compared to ranging or volatile conditions. Strategy performance may deteriorate during periods of reduced pattern effectiveness or increased market noise.
Risk management through stop loss implementation remains essential for capital preservation during adverse market movements. The strategy does not guarantee profitable outcomes and requires proper position sizing and risk management to prevent significant capital loss during unfavorable trading periods.
## Technical Specifications
The strategy utilizes standard TradingView Pine Script functions ensuring compatibility across all supported instruments and timeframes. Default configuration employs 14-period RSI calculations, adjustable candle stability thresholds, and customizable price decline verification periods optimized for general market conditions.
Initial capital settings default to $10,000 with percentage-based equity allocation, though users can adjust these parameters based on account size and risk tolerance requirements. The strategy maintains detailed trade logs and performance metrics through TradingView's integrated backtesting framework.
Alert integration enables real-time notification of entry and exit signals, stop loss executions, and other significant trading events. The comprehensive alert system supports automated trading applications and manual trade management approaches through detailed signal information provision.
## Conclusion
The Mutanabby_AI Algo Pro Strategy provides a systematic framework for candlestick pattern trading with comprehensive risk management and position sizing flexibility. The strategy's strength lies in its multi-layered confirmation approach and sophisticated customization options, enabling adaptation to various trading styles and market conditions.
Successful implementation requires understanding of candlestick pattern analysis principles and appropriate parameter optimization for specific market characteristics. The strategy serves traders seeking automated execution of proven technical analysis techniques while maintaining comprehensive control over risk management and position sizing methodologies.
Risk & Money Calculator / Fixed Losses This indicator is designed for people who want to control their losses as precisely as possible!
It allows you to quickly calculate the potential loss on a position, taking commission into account. It's designed so that you can have a fixed loss with different stop-loss lengths by adjusting the position size, expressed in currency!
Next to the Stop Loss price, you'll see the percentage distance to the stop and the actual loss, including the double commission (for opening and closing).
The indicator is very easy to use. You select the trade direction, enter the entry price, and the Stop Loss price. Optionally, you can set a Take Profit price to visualize the profit percentage! Since commission is charged both when opening and closing a position, you need to specify the size of your one-way commission.
Important!
• DON'T FORGET ABOUT LIQUIDATION, WHICH HAPPENS BEFORE THE CORRESPONDING STOP LOSS PERCENTAGE IS REACHED!
• YOU ARE SOLELY RESPONSIBLE FOR YOUR CALCULATIONS AND LOSSES!
• IF YOU HAVE ANY WISHES OR SUGGESTIONS RELATED TO THE INDICATOR'S OPERATION, I'M READY TO LISTEN AND POSSIBLY MAKE CHANGES TO ITS FUNCTIONALITY!
Parallax Momentum MNQ Strategy# 📈 Parallax Momentum MNQ Strategy
## Overview
The Parallax Momentum MNQ Strategy is a sophisticated support/resistance breakout system specifically designed for Micro Nasdaq futures (MNQ) trading (also works on minis). This strategy combines dynamic level detection with momentum confirmation to identify high-probability entry opportunities while maintaining strict risk management protocols.
## 🎯 Key Features
### Core Strategy Logic
- **Dynamic Support/Resistance Detection**: Automatically identifies key levels using configurable lookback periods
- **Momentum Confirmation**: Volume-based filtering ensures trades align with market momentum
- **ATR-Based Risk Management**: Adaptive stop losses and take profits based on market volatility
- **Dual Entry System**: Both long and short opportunities with limit order execution
### Risk Management
- **ATR-Adaptive Stops**: Stop losses and take profits automatically adjust to market volatility
- **Reward-to-Risk Ratios**: Configurable R:R ratios with default 2:1 minimum
- **Maximum Loss Protection**: Optional daily loss limits to prevent overtrading
- **Session Time Filtering**: Trade only during specified market hours
### Strategy Modes
- **Conservative Mode**: 0.8x risk multiplier for cautious trading
- **Balanced Mode**: Standard 1.0x risk multiplier (default)
- **Aggressive Mode**: 1.2x risk multiplier for active trading
## 📊 Visual Features
### Dashboard Display
- Real-time strategy status and performance metrics
- Current support/resistance levels and ATR values
- Live risk-to-reward ratios for potential trades
- Win rate, profit factor, and drawdown statistics
- Adjustable dashboard size and positioning
### Chart Indicators
- Support and resistance lines with labels
- ATR-based levels (+/-1 ATR and +/-2 ATR)
- Dynamic visual updates as levels change
- Configurable line extensions and styling
## ⚙️ Configuration Options
### Entry Filters
- **Volume Filter**: Optional volume confirmation above SMA
- **Session Time Filter**: 12-hour format time restrictions
- **ATR vs Fixed Stops**: Choose between adaptive or fixed tick-based exits
### Risk Controls
- **ATR Period**: Default 14-period ATR calculation
- **Stop Loss Multiplier**: ATR-based stop distance (default 1.5x)
- **Take Profit Multiplier**: ATR-based target distance (default 1.5x)
- **Secondary Take Profit**: Optional TP2 with position scaling
## 📋 How It Works
### Entry Conditions
**Long Trades**: Triggered when price closes above support buffer but low touches support level, with volume and session confirmation
**Short Trades**: Triggered when price closes below resistance buffer but high touches resistance level, with volume and session confirmation
### Exit Strategy
- **Primary Take Profit**: ATR-based target with 2:1 R:R minimum
- **Stop Loss**: ATR-based protective stop
- **Optional TP2**: Extended target for partial profit taking
- **One Trade at a Time**: No overlapping positions
## 🎛️ Default Settings
- **Lookback Period**: 20 bars for support/resistance detection
- **ATR Period**: 14 bars for volatility calculation
- **Stop Loss**: 1.5x ATR from entry
- **Take Profit**: 1.5x ATR with 2:1 reward-to-risk ratio
- **Session**: 7:30 AM - 2:00 PM (configurable)
## ⚠️ Important Notes
### Risk Disclaimer
- This strategy is for educational and informational purposes only
- Past performance does not guarantee future results
- Always use proper position sizing and risk management
- Test thoroughly on historical data before live trading
- Consider market conditions and volatility when using
### Best Practices
- Backtest on sufficient historical data
- Start with conservative mode for new users
- Monitor performance regularly and adjust parameters as needed
- Use appropriate position sizing for your account
- Consider broker commissions and slippage in live trading
## 🔧 Customization
The strategy offers extensive customization options including:
- Adjustable time sessions with AM/PM format
- Configurable ATR and risk parameters
- Optional maximum daily loss limits
- Dashboard size and position controls
- Visual element toggles and styling
## 📈 Ideal For
- MNQ (Micro Nasdaq) futures traders
- Intraday momentum strategies
- Traders seeking systematic entry/exit rules
- Risk-conscious traders wanting automated stops
- Both beginner and experienced algorithmic traders
---
**Version**: Pine Script v5 Compatible
**Timeframe**: Works on multiple timeframes (test on 1m, 3m, 5m, 15m)
**Market**: Optimized for MNQ but adaptable to other instruments
**Strategy Type**: Trend following with momentum confirmation
52SIGNAL RECIPE Coinbase Institutional Smart Money DetectorCoinbase Institutional Smart Money Detector
◆ Overview
Coinbase Institutional Smart Money Detector is an innovative indicator that detects the buying and selling movements of institutional investors through Coinbase Prime in real-time. This powerful tool tracks the flow of funds from large institutions to provide valuable signals before significant market direction changes occur. It can be applied to Bitcoin charts on any exchange, allowing traders to follow the "smart money" movements of institutions anytime, anywhere.
The unique strength of this indicator lies in its comprehensive assessment of institutional investors' consecutive trading behaviors, volume patterns, and trend strength by analyzing Coinbase data in real-time. By providing clear visual representation of institutional fund flow data that is difficult for ordinary traders to access, you gain the opportunity to move alongside the big players in the market.
─────────────────────────────────────
◆ Key Features
• Coinbase Prime Data Analysis: Tracks institutional movements in real-time by analyzing data from Coinbase Prime, an institutional-only service
• Real-time Institutional Fund Flow Monitoring: Immediately detects large institutions' spot buying/selling activities, allowing positioning ahead of the market
• Universal Exchange Compatibility: Applicable to Bitcoin charts on any exchange, enabling use on your preferred trading platform
• Institutional Continuity Analysis: Identifies continuous institutional activity by tracking consecutive buying/selling patterns
• Smart Volume Analysis: Detects increased volume compared to averages and analyzes key trading time periods
• Trend Strength Measurement: Quantifies and displays the strength of upward/downward trends by analyzing candle patterns
• Intuitive Visualization: Clearly marks institutional activity points on charts through bar coloring and labels
• Real-time Strength Display: Calculates and displays current trend strength in a table in real-time
• Customizable Settings: Allows customization of key parameters to match your trading style
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◆ Understanding Signal Types
■ Institutional Buy Signal
• Definition: Occurs when institutional investors show consecutive buying activity through Coinbase Prime, accompanied by increased volume and strong upward trend
• Visual Representation: Translucent blue bar coloring and "Institution Buying Detected!" label on the candle where the buy signal occurs
• Market Interpretation: Indicates that institutional investors are actively buying spot Bitcoin, which is likely to lead to price increases
• Signal Strength Factors:
▶ Consecutive price increase patterns
▶ Above-average volume
▶ Strong upward trend strength measurement
▶ Significant price movement
■ Institutional Sell Signal
• Definition: Occurs when institutional investors show consecutive selling activity through Coinbase Prime, accompanied by increased volume and strong downward trend
• Visual Representation: Translucent pink bar coloring and "Institution Selling Detected!" label on the candle where the sell signal occurs
• Market Interpretation: Indicates that institutional investors are actively selling spot Bitcoin, which is likely to lead to price decreases
• Signal Strength Factors:
▶ Consecutive price decrease patterns
▶ Above-average volume
▶ Strong downward trend strength measurement
▶ Significant price movement
─────────────────────────────────────
◆ Understanding Trend Strength
■ Trend Strength Measurement Method
• Definition: Measures trend strength by analyzing the ratio of up/down candles over a recent period
• Visual Representation: Displayed in the table as "BULL STRENGTH" or "BEAR STRENGTH" with percentage value and "STRONG" or "WEAK" status
• Strength Threshold: Strong/weak determination according to user-configurable threshold
• Calculation Method:
▶ Upward trend strength = (Number of upward candles) / (Total analysis period)
▶ Downward trend strength = (Number of downward candles) / (Total analysis period)
▶ Displayed as "STRONG" when strength is above threshold, "WEAK" when below
■ Utilizing Trend Strength
• Signal Filtering: Generates signals only when trend strength is strong, reducing false signals
• Trend Confirmation: Evaluates the health and sustainability of the current market trend
• Entry/Exit Decisions: Consider entering in strong trends and exiting when trends weaken
• Risk Management: Develop strategies to reduce position size in weak trends and increase in strong trends
─────────────────────────────────────
◆ Practical Trading Applications
■ Institutional Buy Signal Strategy
• Trend Reversal Scenario:
▶ Setup: Strong institutional buy signal during a downtrend
▶ Entry: Buy after signal confirmation in the next candle
▶ Stop Loss: Below the low of the signal candle
▶ Take Profit: When reaching previous major resistance or when trend strength weakens
• Trend Continuation Scenario:
▶ Setup: Institutional buy signal after correction in an uptrend
▶ Entry: Buy after signal confirmation
▶ Stop Loss: Below recent major low
▶ Take Profit: Gradually take profits considering trend strength
■ Institutional Sell Signal Strategy
• Trend Reversal Scenario:
▶ Setup: Strong institutional sell signal during an uptrend
▶ Entry: Sell after signal confirmation in the next candle
▶ Stop Loss: Above the high of the signal candle
▶ Take Profit: When reaching previous major support or when trend strength weakens
• Trend Continuation Scenario:
▶ Setup: Institutional sell signal after bounce in a downtrend
▶ Entry: Sell after signal confirmation
▶ Stop Loss: Above recent major high
▶ Take Profit: Gradually take profits considering trend strength
■ Multi-Timeframe Approach
• Higher Timeframe Direction Confirmation:
▶ Check institutional signals and trend strength on daily/4-hour charts
▶ Use for setting main trading direction
• Lower Timeframe Entry Point Finding:
▶ Wait for lower timeframe signals that align with higher timeframe direction
▶ Use for capturing precise entry points
• Cross-Timeframe Signal Alignment:
▶ Signal strength increases when signals occur in the same direction across multiple timeframes
▶ Capture high-probability trading opportunities
─────────────────────────────────────
◆ Indicator Settings Guide
■ Main Setting Parameters
• Institutional Continuity Period:
▶ Purpose: Sets the period to check institutional consecutive buying/selling activity
▶ Lower value: Generates more signals, increases responsiveness
▶ Higher value: Reduces number of signals, increases reliability
• Trend Strength Threshold:
▶ Purpose: Sets the minimum threshold for determining strong trends
▶ Lower value: More signals, less filtering
▶ Higher value: Generates signals only in stronger trends, higher filtering
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◆ Synergy with Other Indicators
• Support/Resistance Levels:
▶ Institutional signals occurring at key support/resistance levels have higher probability
▶ Combination of key technical analysis levels and institutional activity provides powerful signals
• Moving Averages:
▶ Pay attention to institutional signals near key moving averages (50MA, 200MA)
▶ Strong trend change possibility when moving average crossovers coincide with institutional signals
• RSI/Momentum Indicators:
▶ Institutional buy signals in oversold conditions increase reversal probability
▶ Institutional sell signals in overbought conditions increase reversal probability
• Volume Profile:
▶ Institutional signals at high volume nodes confirm important price levels
▶ Institutional activity in key trading areas greatly impacts price direction
• Market Structure:
▶ Institutional signals near key market structures (higher highs/lows, lower highs/lows) suggest structural changes
▶ Coincidence of market structure changes and institutional activity indicates important trend turning points
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◆ Conclusion
Coinbase Institutional Smart Money Detector provides traders with valuable insights by tracking spot Bitcoin trading activities of institutional investors through Coinbase Prime in real-time. Because it can be applied to Bitcoin charts on any exchange, you can utilize it immediately on your preferred trading platform.
The core value of this indicator is providing intuitive visualization of institutional fund flow data that is difficult for ordinary traders to access. By comprehensively analyzing consecutive price movements, volume increases, and trend strength to capture institutional activity, you gain the opportunity to move alongside the big players in the market.
Clear buy/sell signals based on Coinbase Prime data and real-time trend strength measurements help traders quickly grasp market conditions and make strategic decisions. By integrating this powerful tool into your trading strategy, secure a competitive edge to understand where the market's smart money is flowing and position accordingly.
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※ Disclaimer: Like all trading tools, the Institutional Smart Money Detector should be used as a supplementary indicator and not relied upon exclusively for trading decisions. Past patterns of institutional behavior may not guarantee future market movements. Always employ appropriate risk management strategies in your trading.
Coinbase Institutional Smart Money Detector
◆ 개요
Coinbase Institutional Smart Money Detector는 코인베이스 프라임(Coinbase Prime)을 통한 기관 투자자들의 현물 비트코인 매수/매도 움직임을 실시간으로 감지하는 혁신적인 지표입니다. 이 강력한 도구는 대형 기관들의 자금 흐름을 추적하여 중요한 시장 방향 전환이 일어나기 전에 귀중한 신호를 제공합니다. 어떤 거래소의 비트코인 차트에도 적용 가능하여 트레이더들이 언제 어디서든 기관의 "스마트 머니" 움직임을 따라갈 수 있게 해줍니다.
이 지표의 독보적인 강점은 코인베이스 데이터를 실시간으로 분석하여 기관 투자자들의 연속적인 매매 행동, 거래량 패턴, 그리고 추세 강도를 종합적으로 평가한다는 점입니다. 일반 트레이더들이 접근하기 어려운 기관 자금 흐름 데이터를 시각적으로 명확하게 제공함으로써, 여러분은 시장의 큰 손들과 함께 움직일 수 있는 기회를 얻게 됩니다.
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◆ 주요 특징
• 코인베이스 프라임 데이터 분석: 기관 전용 서비스인 코인베이스 프라임의 데이터를 실시간으로 추적하여 기관의 움직임 포착
• 실시간 기관 자금 흐름 모니터링: 대형 기관들의 현물 매수/매도 활동을 즉각적으로 감지하여 시장에 앞서 포지셔닝 가능
• 모든 거래소 호환성: 어떤 거래소의 비트코인 차트에도 적용 가능하여 선호하는 트레이딩 플랫폼에서 활용 가능
• 기관 연속성 분석: 연속적인 매수/매도 패턴을 추적하여 기관의 지속적인 활동 식별
• 스마트 볼륨 분석: 평균 대비 거래량 증가를 감지하고 주요 거래 시간대를 분석
• 추세 강도 측정: 캔들 패턴을 분석해 상승/하락 추세의 강도를 수치화하여 표시
• 직관적 시각화: 바 컬러링과 라벨을 통해 기관 활동 지점을 차트에 명확하게 표시
• 실시간 강도 표시: 현재 추세의 강도를 실시간으로 계산하여 테이블에 표시
• 사용자 정의 설정: 주요 매개변수를 조정하여 자신의 트레이딩 스타일에 맞게 커스터마이징 가능
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◆ 신호 유형 이해하기
■ 기관 매수 신호
• 정의: 코인베이스 프라임을 통해 기관 투자자들이 연속적인 매수 활동을 보이며, 이와 함께 거래량 증가와 강한 상승 추세가 나타날 때 발생
• 시각적 표현: 매수 신호가 발생한 캔들에 반투명 파란색 바 컬러링과 함께 "Institution Buying Detected!" 라벨 표시
• 시장 해석: 기관 투자자들이 적극적으로 현물 비트코인을 매수하고 있으며, 이는 곧 가격 상승으로 이어질 가능성이 높음을 의미
• 신호 강도 요소:
▶ 연속적인 가격 상승 패턴
▶ 평균보다 높은 거래량
▶ 강한 상승 추세 강도 측정값
▶ 유의미한 가격 변동
■ 기관 매도 신호
• 정의: 코인베이스 프라임을 통해 기관 투자자들이 연속적인 매도 활동을 보이며, 이와 함께 거래량 증가와 강한 하락 추세가 나타날 때 발생
• 시각적 표현: 매도 신호가 발생한 캔들에 반투명 분홍색 바 컬러링과 함께 "Institution Selling Detected!" 라벨 표시
• 시장 해석: 기관 투자자들이 적극적으로 현물 비트코인을 매도하고 있으며, 이는 곧 가격 하락으로 이어질 가능성이 높음을 의미
• 신호 강도 요소:
▶ 연속적인 가격 하락 패턴
▶ 평균보다 높은 거래량
▶ 강한 하락 추세 강도 측정값
▶ 유의미한 가격 변동
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◆ 추세 강도 이해하기
■ 추세 강도 측정 방식
• 정의: 최근 일정 기간 동안의 상승/하락 캔들 비율을 분석하여 추세의 강도를 측정
• 시각적 표현: 테이블에 "BULL STRENGTH" 또는 "BEAR STRENGTH"로 표시되며, 백분율 값과 함께 "STRONG" 또는 "WEAK" 상태 표시
• 강도 임계값: 사용자가 설정 가능한 임계값에 따라 강함/약함 판정
• 계산 방식:
▶ 상승 추세 강도 = (상승 캔들 수) / (전체 분석 기간)
▶ 하락 추세 강도 = (하락 캔들 수) / (전체 분석 기간)
▶ 강도가 임계값 이상일 때 "STRONG", 미만일 때 "WEAK"로 표시
■ 추세 강도의 활용
• 신호 필터링: 추세 강도가 강할 때만 신호를 생성하여 허위 신호 감소
• 추세 확인: 현재 시장 추세의 건전성과 지속 가능성 평가
• 진입/퇴출 결정: 강한 추세에서 진입하고 약한 추세로 전환될 때 퇴출 고려
• 리스크 관리: 약한 추세에서는 포지션 크기를 줄이고, 강한 추세에서는 늘리는 전략 수립 가능
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◆ 실전 트레이딩 응용
■ 기관 매수 신호 활용 전략
• 추세 전환 시나리오:
▶ 설정: 하락 추세 중 강한 기관 매수 신호 발생
▶ 진입: 신호 확인 후 다음 캔들에서 매수
▶ 손절: 신호 캔들의 저점 아래
▶ 이익실현: 이전 주요 저항선 도달 시 또는 추세 강도가 약해질 때
• 추세 지속 시나리오:
▶ 설정: 상승 추세 중 조정 후 기관 매수 신호 발생
▶ 진입: 신호 확인 후 매수
▶ 손절: 최근 주요 저점 아래
▶ 이익실현: 추세 강도를 고려하여 단계적으로 이익실현
■ 기관 매도 신호 활용 전략
• 추세 전환 시나리오:
▶ 설정: 상승 추세 중 강한 기관 매도 신호 발생
▶ 진입: 신호 확인 후 다음 캔들에서 매도
▶ 손절: 신호 캔들의 고점 위
▶ 이익실현: 이전 주요 지지선 도달 시 또는 추세 강도가 약해질 때
• 추세 지속 시나리오:
▶ 설정: 하락 추세 중 반등 후 기관 매도 신호 발생
▶ 진입: 신호 확인 후 매도
▶ 손절: 최근 주요 고점 위
▶ 이익실현: 추세 강도를 고려하여 단계적으로 이익실현
■ 다중 시간프레임 접근법
• 상위 시간프레임 방향성 확인:
▶ 일봉/4시간봉에서 기관 신호 및 추세 강도 확인
▶ 주 트레이딩 방향 설정에 활용
• 하위 시간프레임 진입점 찾기:
▶ 상위 시간프레임 방향과 일치하는 하위 시간프레임 신호 대기
▶ 정밀한 진입점 포착에 활용
• 시간프레임 간 신호 일치 확인:
▶ 여러 시간프레임에서 동일한 방향의 신호가 발생할 때 신호 강도 증가
▶ 높은 확률의 트레이딩 기회 포착
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◆ 지표 설정 가이드
■ 주요 설정 매개변수
• Institutional Continuity Period (기관 연속성 확인 기간):
▶ 목적: 기관의 연속적인 매수/매도 활동을 확인할 기간 설정
▶ 낮은 값: 더 많은 신호 생성, 반응성 증가
▶ 높은 값: 신호 수 감소, 신뢰성 증가
• Trend Strength Threshold (추세 강도 임계값):
▶ 목적: 추세가 강하다고 판단할 최소 임계값 설정
▶ 낮은 값: 더 많은 신호, 낮은 필터링
▶ 높은 값: 더 강한 추세에서만 신호 생성, 높은 필터링
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◆ 다른 지표와의 시너지
• 지지/저항 레벨:
▶ 주요 지지/저항 레벨에서 발생하는 기관 신호는 확률이 더 높음
▶ 기술적 분석의 핵심 레벨과 기관 활동의 결합은 강력한 시그널 제공
• 이동평균선:
▶ 주요 이동평균선(50MA, 200MA) 근처에서 발생하는 기관 신호 주목
▶ 이동평균선 돌파와 기관 신호가 일치할 때 강한 추세 변화 가능성
• RSI/모멘텀 지표:
▶ 과매수/과매도 상태에서 발생하는 기관 신호는 반전 가능성 높임
▶ 모멘텀 다이버전스와 기관 신호의 일치는 강력한 반전 신호
• 볼륨 프로파일:
▶ 높은 볼륨 노드에서 발생하는 기관 신호는 중요한 가격 레벨 확인
▶ 주요 거래 영역에서의 기관 활동은 가격 방향에 큰 영향 미침
• 시장 구조:
▶ 주요 시장 구조(높은 고점/저점, 낮은 고점/저점) 근처에서 발생하는 기관 신호는 구조 변화 암시
▶ 시장 구조 변화와 기관 활동의 일치는 중요한 추세 전환점 표시
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◆ 결론
Coinbase Institutional Smart Money Detector는 코인베이스 프라임을 통한 기관 투자자들의 현물 비트코인 거래 활동을 실시간으로 추적하여 트레이더들에게 귀중한 통찰력을 제공합니다. 어떤 거래소의 비트코인 차트에도 적용 가능하기 때문에, 여러분이 선호하는 트레이딩 플랫폼에서 바로 활용할 수 있습니다.
이 지표의 핵심 가치는 일반 트레이더들이 접근하기 어려운 기관 자금 흐름 데이터를 직관적으로 시각화하여 제공한다는 점입니다. 연속적인 가격 움직임, 거래량 증가, 그리고 추세 강도를 종합적으로 분석하여 기관의 활동을 포착함으로써, 여러분은 시장의 큰 손들과 함께 움직일 수 있는 기회를 얻게 됩니다.
코인베이스 프라임 데이터를 기반으로 한 명확한 매수/매도 신호와 실시간 추세 강도 측정은 트레이더들이 시장 상황을 한눈에 파악하고 신속하게 전략적 결정을 내릴 수 있게 도와줍니다. 이 강력한 도구를 여러분의 트레이딩 전략에 통합함으로써, 시장의 스마트 머니가 어디로 흘러가는지 파악하고 그에 따라 포지셔닝할 수 있는 경쟁 우위를 확보하세요.
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※ 면책 조항: 모든 트레이딩 도구와 마찬가지로, Institutional Smart Money Detector는 보조 지표로 사용해야 하며 트레이딩 결정을 전적으로 의존해서는 안 됩니다. 과거의 기관 행동 패턴이 미래 시장 움직임을 보장하지는 않습니다. 항상 적절한 리스크 관리 전략을 트레이딩에 활용하세요.
Pullback Pro Dow Strategy v7 (ADX Filter)
### **Strategy Description (For TradingView)**
#### **Title:** Pullback Pro: Dow Theory & ADX Strategy
---
#### **1. Summary**
This strategy is designed to identify and trade pullbacks within an established trend, based on the core principles of Dow Theory. It uses market structure (pivot highs and lows) to determine the trend direction and an Exponential Moving Average (EMA) to pinpoint pullback entry opportunities.
To enhance trade quality and avoid ranging markets, an ADX (Average Directional Index) filter is integrated to ensure that entries are only taken when the trend has sufficient momentum.
---
#### **2. Core Logic: How It Works**
The strategy's logic is broken down into three main steps:
**Step 1: Trend Determination (Dow Theory)**
* The primary trend is identified by analyzing recent pivot points.
* An **Uptrend** is confirmed when the script detects a pattern of higher highs and higher lows (HH/HL).
* A **Downtrend** is confirmed by a pattern of lower highs and lower lows (LH/LL).
* If neither pattern is present, the strategy considers the market to be in a range and will not seek trades.
**Step 2: Entry Signal (Pullback to EMA)**
* Once a clear trend is established, the strategy waits for a price correction.
* **Long Entry:** In a confirmed uptrend, a long position is initiated when the price pulls back and crosses *under* the specified EMA.
* **Short Entry:** In a confirmed downtrend, a short position is initiated when the price rallies and crosses *over* the EMA.
**Step 3: Confirmation & Risk Management**
* **ADX Filter:** To ensure the trend is strong enough to trade, an entry signal is only validated if the ADX value is above a user-defined threshold (e.g., 25). This helps filter out weak signals during choppy or consolidating markets.
* **Stop Loss:** The initial Stop Loss is automatically and logically placed at the last market structure point:
* For long trades, it's placed at the `lastPivotLow`.
* For short trades, it's placed at the `lastPivotHigh`.
* **Take Profit:** Two Take Profit levels are calculated based on user-defined Risk-to-Reward (R:R) ratios. The strategy allows for partial profit-taking at the first target (TP1), moving the remainder of the position to the second target (TP2).
---
#### **3. Input Settings Explained**
**① Dow Theory Settings**
* **Pivot Lookback Period:** Determines the sensitivity for detecting pivot highs and lows. A smaller number makes it more sensitive to recent price swings; a larger number focuses on more significant, longer-term pivots.
**② Entry Logic (Pullback)**
* **Pullback EMA Length:** Sets the period for the Exponential Moving Average used to identify pullback entries.
**③ Risk & Exit Management**
* **Take Profit 1 R:R:** Sets the Risk-to-Reward ratio for the first take-profit target.
* **Take Profit 1 (%):** The percentage of the position to be closed when TP1 is hit.
* **Take Profit 2 R:R:** Sets the Risk-to-Reward ratio for the final take-profit target.
**④ Filters**
* **Use ADX Trend Filter:** A master switch to enable or disable the ADX filter.
* **ADX Length:** The lookback period for the ADX calculation.
* **ADX Threshold:** The minimum ADX value required to confirm a trade signal. Trades will only be placed if the ADX is above this level.
---
#### **4. Best Practices & Recommendations**
* This is a trend-following system. It is designed to perform best in markets that exhibit clear, sustained trending behavior.
* It may underperform in choppy, sideways, or strongly ranging markets. The ADX filter is designed to help mitigate this, but no filter is perfect.
* **Crucially, you must backtest this strategy thoroughly** on your preferred financial instrument and timeframe before considering any live application.
* Experiment with the `Pivot Lookback Period`, `Pullback EMA Length`, and `ADX Threshold` to optimize performance for a specific market's characteristics.
---
#### **DISCLAIMER**
This script is provided for educational and informational purposes only. It does not constitute financial advice. All trading involves a high level of risk, and past performance is not indicative of future results. You are solely responsible for your own trading decisions. The author assumes no liability for any financial losses you may incur from using this strategy. Always conduct your own research and due diligence.
KST Strategy [Skyrexio]Overview
KST Strategy leverages Know Sure Thing (KST) indicator in conjunction with the Williams Alligator and Moving average to obtain the high probability setups. KST is used for for having the high probability to enter in the direction of a current trend when momentum is rising, Alligator is used as a short term trend filter, while Moving average approximates the long term trend and allows trades only in its direction. Also strategy has the additional optional filter on Choppiness Index which does not allow trades if market is choppy, above the user-specified threshold. Strategy has the user specified take profit and stop-loss numbers, but multiplied by Average True Range (ATR) value on the moment when trade is open. The strategy opens only long trades.
Unique Features
ATR based stop-loss and take profit. Instead of fixed take profit and stop-loss percentage strategy utilizes user chosen numbers multiplied by ATR for its calculation.
Configurable Trading Periods. Users can tailor the strategy to specific market windows, adapting to different market conditions.
Optional Choppiness Index filter. Strategy allows to choose if it will use the filter trades with Choppiness Index and set up its threshold.
Methodology
The strategy opens long trade when the following price met the conditions:
Close price is above the Alligator's jaw line
Close price is above the filtering Moving average
KST line of Know Sure Thing indicator shall cross over its signal line (details in justification of methodology)
If the Choppiness Index filter is enabled its value shall be less than user defined threshold
When the long trade is executed algorithm defines the stop-loss level as the low minus user defined number, multiplied by ATR at the trade open candle. Also it defines take profit with close price plus user defined number, multiplied by ATR at the trade open candle. While trade is in progress, if high price on any candle above the calculated take profit level or low price is below the calculated stop loss level, trade is closed.
Strategy settings
In the inputs window user can setup the following strategy settings:
ATR Stop Loss (by default = 1.5, number of ATRs to calculate stop-loss level)
ATR Take Profit (by default = 3.5, number of ATRs to calculate take profit level)
Filter MA Type (by default = Least Squares MA, type of moving average which is used for filter MA)
Filter MA Length (by default = 200, length for filter MA calculation)
Enable Choppiness Index Filter (by default = true, setting to choose the optional filtering using Choppiness index)
Choppiness Index Threshold (by default = 50, Choppiness Index threshold, its value shall be below it to allow trades execution)
Choppiness Index Length (by default = 14, length used in Choppiness index calculation)
KST ROC Length #1 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology)
KST ROC Length #2 (by default = 15, value used in KST indicator calculation, more information in Justification of Methodology)
KST ROC Length #3 (by default = 20, value used in KST indicator calculation, more information in Justification of Methodology)
KST ROC Length #4 (by default = 30, value used in KST indicator calculation, more information in Justification of Methodology)
KST SMA Length #1 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology)
KST SMA Length #2 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology)
KST SMA Length #3 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology)
KST SMA Length #4 (by default = 15, value used in KST indicator calculation, more information in Justification of Methodology)
KST Signal Line Length (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology)
User can choose the optimal parameters during backtesting on certain price chart.
Justification of Methodology
Before understanding why this particular combination of indicator has been chosen let's briefly explain what is KST, Williams Alligator, Moving Average, ATR and Choppiness Index.
The KST (Know Sure Thing) is a momentum oscillator developed by Martin Pring. It combines multiple Rate of Change (ROC) values, smoothed over different timeframes, to identify trend direction and momentum strength. First of all, what is ROC? ROC (Rate of Change) is a momentum indicator that measures the percentage change in price between the current price and the price a set number of periods ago.
ROC = 100 * (Current Price - Price N Periods Ago) / Price N Periods Ago
In our case N is the KST ROC Length inputs from settings, here we will calculate 4 different ROCs to obtain KST value:
KST = ROC1_smooth × 1 + ROC2_smooth × 2 + ROC3_smooth × 3 + ROC4_smooth × 4
ROC1 = ROC(close, KST ROC Length #1), smoothed by KST SMA Length #1,
ROC2 = ROC(close, KST ROC Length #2), smoothed by KST SMA Length #2,
ROC3 = ROC(close, KST ROC Length #3), smoothed by KST SMA Length #3,
ROC4 = ROC(close, KST ROC Length #4), smoothed by KST SMA Length #4
Also for this indicator the signal line is calculated:
Signal = SMA(KST, KST Signal Line Length)
When the KST line rises, it indicates increasing momentum and suggests that an upward trend may be developing. Conversely, when the KST line declines, it reflects weakening momentum and a potential downward trend. A crossover of the KST line above its signal line is considered a buy signal, while a crossover below the signal line is viewed as a sell signal. If the KST stays above zero, it indicates overall bullish momentum; if it remains below zero, it points to bearish momentum. The KST indicator smooths momentum across multiple timeframes, helping to reduce noise and provide clearer signals for medium- to long-term trends.
Next, let’s discuss the short-term trend filter, which combines the Williams Alligator and Williams Fractals. Williams Alligator
Developed by Bill Williams, the Alligator is a technical indicator that identifies trends and potential market reversals. It consists of three smoothed moving averages:
Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead.
Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward.
Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward.
When the lines diverge and align in order, the "Alligator" is "awake," signaling a strong trend. When the lines overlap or intertwine, the "Alligator" is "asleep," indicating a range-bound or sideways market. This indicator helps traders determine when to enter or avoid trades.
The next indicator is Moving Average. It has a lot of different types which can be chosen to filter trades and the Least Squares MA is used by default settings. Let's briefly explain what is it.
The Least Squares Moving Average (LSMA) — also known as Linear Regression Moving Average — is a trend-following indicator that uses the least squares method to fit a straight line to the price data over a given period, then plots the value of that line at the most recent point. It draws the best-fitting straight line through the past N prices (using linear regression), and then takes the endpoint of that line as the value of the moving average for that bar. The LSMA aims to reduce lag and highlight the current trend more accurately than traditional moving averages like SMA or EMA.
Key Features:
It reacts faster to price changes than most moving averages.
It is smoother and less noisy than short-term EMAs.
It can be used to identify trend direction, momentum, and potential reversal points.
ATR (Average True Range) is a volatility indicator that measures how much an asset typically moves during a given period. It was introduced by J. Welles Wilder and is widely used to assess market volatility, not direction.
To calculate it first of all we need to get True Range (TR), this is the greatest value among:
High - Low
abs(High - Previous Close)
abs(Low - Previous Close)
ATR = MA(TR, n) , where n is number of periods for moving average, in our case equals 14.
ATR shows how much an asset moves on average per candle/bar. A higher ATR means more volatility; a lower ATR means a calmer market.
The Choppiness Index is a technical indicator that quantifies whether the market is trending or choppy (sideways). It doesn't indicate trend direction — only the strength or weakness of a trend. Higher Choppiness Index usually approximates the sideways market, while its low value tells us that there is a high probability of a trend.
Choppiness Index = 100 × log10(ΣATR(n) / (MaxHigh(n) - MinLow(n))) / log10(n)
where:
ΣATR(n) = sum of the Average True Range over n periods
MaxHigh(n) = highest high over n periods
MinLow(n) = lowest low over n periods
log10 = base-10 logarithm
Now let's understand how these indicators work in conjunction and why they were chosen for this strategy. KST indicator approximates current momentum, when it is rising and KST line crosses over the signal line there is high probability that short term trend is reversing to the upside and strategy allows to take part in this potential move. Alligator's jaw (blue) line is used as an approximation of a short term trend, taking trades only above it we want to avoid trading against trend to increase probability that long trade is going to be winning.
Almost the same for Moving Average, but it approximates the long term trend, this is just the additional filter. If we trade in the direction of the long term trend we increase probability that higher risk to reward trade will hit the take profit. Choppiness index is the optional filter, but if it turned on it is used for approximating if now market is in sideways or in trend. On the range bounded market the potential moves are restricted. We want to decrease probability opening trades in such condition avoiding trades if this index is above threshold value.
When trade is open script sets the stop loss and take profit targets. ATR approximates the current volatility, so we can make a decision when to exit a trade based on current market condition, it can increase the probability that strategy will avoid the excessive stop loss hits, but anyway user can setup how many ATRs to use as a stop loss and take profit target. As was said in the Methodology stop loss level is obtained by subtracting number of ATRs from trade opening candle low, while take profit by adding to this candle's close.
Backtest Results
Operating window: Date range of backtests is 2023.01.01 - 2025.05.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Percent of capital used in every trade: 60%
Maximum Single Position Loss: -5.53%
Maximum Single Profit: +8.35%
Net Profit: +5175.20 USDT (+51.75%)
Total Trades: 120 (56.67% win rate)
Profit Factor: 1.747
Maximum Accumulated Loss: 1039.89 USDT (-9.1%)
Average Profit per Trade: 43.13 USDT (+0.6%)
Average Trade Duration: 27 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart (optimal performance observed on 1h BTC/USDT).
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrexio commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation.
Smart Money Liquidity Zones ProThe Smart Money Liquidity Zones Pro indicator identifies and visualizes key liquidity areas in the market where institutional traders (smart money) are likely to have placed their stop-loss orders. These zones represent areas of high liquidity that often act as magnets for price, making them valuable reference points for trading decisions.
What the Indicator Does
Core Functionality
Swing Point Detection: The indicator identifies significant swing highs and lows using three different methods (Classic, Fractal, or Combined) to locate potential liquidity pools.
Liquidity Zone Creation: At each valid swing point, the indicator creates a horizontal zone representing an area where stop-loss orders are likely clustered.
Zone Clustering: When multiple swing points occur near the same price level, the indicator intelligently combines them into larger cluster zones, indicating stronger liquidity areas.
Volume Confirmation: The indicator can filter zones based on volume, showing only those swing points that occurred with significant trading volume.
Zone Break Detection: When price closes through a liquidity zone, the indicator marks it as "Liquidity Taken" and removes the zone from the chart.
Zone Types
Buy-Side Liquidity Zones (Green): Created at swing highs where short sellers' stop-losses are likely placed
Sell-Side Liquidity Zones (Red): Created at swing lows where long traders' stop-losses are likely placed
Trading Strategies
Basic Concepts
Liquidity Runs: Price often moves toward these zones to trigger stop-loss orders before reversing. This creates trading opportunities.
Support and Resistance: Unbroken liquidity zones can act as support (sell-side) or resistance (buy-side) levels.
Breakout Confirmation: When price breaks through a zone with strong momentum, it often continues in that direction.
Entry Strategies
Strategy 1: Liquidity Grab Reversa l
Wait for price to spike into a liquidity zone
Look for rejection candles (wicks) at the zone
Enter in the opposite direction after confirmation
Place stop-loss beyond the liquidity zone
Strategy 2: Zone Break Continuation
Wait for price to close decisively through a zone
Enter on the retest of the broken zone
Target the next liquidity zone in the direction of the break
Strategy 3: Zone Clustering Trade
Focus on areas with multiple overlapping zones (clusters)
These areas offer higher probability setups
Trade bounces from cluster zones with tighter risk management
Risk Management
Always use stop-losses beyond the liquidity zones
Consider the overall market context and trend
Zones on higher timeframes are generally more significant
Volume-confirmed zones have higher reliability
Settings Explanation
Swing Detection Settings
Swing Strength (Lookback Bars)
Determines how many bars to look back for swing point validation
Higher values find more significant swings but fewer zones
Recommended settings:
1m-5m charts: 3-5
15m-1h charts: 5-8
Daily charts: 5-10
Weekly charts: 3-5
Monthly charts: 2-3
Adaptive Swing Detection
Automatically adjusts swing detection based on available historical data
Prevents errors when there's limited chart history
Recommended to keep enabled
Minimum Bars for Swing
Sets the absolute minimum bars required for swing detection
Lower values allow detection in limited data conditions
Swing Detection Method
Classic: Strict price comparison for pure swing highs/lows
Fractal: Williams Fractal pattern (2 bars on each side)
Combined: Uses both methods for maximum zone detection
Auto-Adjust for Timeframe
Automatically optimizes settings based on chart timeframe
Prevents inappropriate settings on higher timeframes
Zone Settings
Max Number of Visible Zones
Limits the number of zones displayed to prevent chart clutter
Older zones are automatically removed
Max Zone Duration (Bars)
Zones older than this are automatically deleted
Keeps the chart focused on recent liquidity areas
Enable Zone Clustering
Groups nearby zones into larger clusters
Identifies stronger liquidity areas
Cluster Threshold (%)
Maximum price distance for zones to be clustered
Lower values create tighter clusters
Show Cluster Labels
Displays "Cluster x2", "Cluster x3" etc. on grouped zones
Volume Filter Settings
Enable Volume Filter
When enabled, only creates zones at high-volume swing points
Increases zone quality but reduces quantity
Volume Multiplier
Multiplier for average volume to determine "high volume"
Lower values (0.7-0.9) create more zones
Higher values (1.2+) create fewer, higher-quality zones
Volume SMA Period
Period for calculating average volume
Higher values create smoother volume baseline
Show Volume Confirmation Icon
Displays a fire emoji on volume-confirmed zones
Volume Visualization Settings
Show Volume Dots
Displays dots below high-volume bars
Dynamic Zone Colors
Volume-confirmed zones appear with more intense colors
Show Volume Background
Highlights the chart background on high-volume bars
Visual Settings
Buy-Side/Sell-Side Zone Colors
Customize colors for long and short liquidity zones
Border Width
Thickness of zone borders (1-3)
Show 'Liquidity Taken' Labels
Displays labels when zones are broken
Label Size
Size of the liquidity taken labels
Show Swing Point Markers
Displays triangles at detected swing points
Show Debug Info
Shows diagnostic information for troubleshooting
Dashboard Settings
Show Dashboard
Toggles the information panel display
Dashboard Position
Choose from 6 positions on the chart
Background Color
Dashboard background color
Text Color
Dashboard text color
Text Size
Dashboard text size (tiny/small/normal/large)
Tips for Effective Use
Start with default settings and adjust based on your trading style and timeframe
Use multiple timeframes to identify confluence between zones on different scales
Combine with other indicators like trend analysis or momentum oscillators
Pay attention to clusters as they represent stronger liquidity areas
Monitor volume-confirmed zones for higher probability setups
Adjust zone duration based on your trading timeframe (shorter for scalping, longer for swing trading)
Use the debug feature if zones aren't appearing to understand why
Keep the chart clean by limiting the number of visible zones
Common Issues and Solutions
No zones appearing:
Lower the Swing Strength setting
Switch to Combined detection method
Disable volume filter if active
Check if there's enough historical data
Too many zones:
Increase Swing Strength
Enable volume filter
Reduce Max Number of Visible Zones
Increase Cluster Threshold
Zones disappearing too quickly:
Increase Max Zone Duration
Check if zones are being broken by price
Poor performance on higher timeframes:
Enable Auto-Adjust for Timeframe
Use appropriate Swing Strength for the timeframe
Consider using Classic method instead of Fractal
PineConnector [Extension] | FractalystWhat is the PineConnector Extension?
The PineConnector Extension is a sophisticated bridge indicator designed to seamlessly connect Quantify trading signals with PineConnector's automated execution system.
This extension transforms manual signal monitoring into fully automated trading by interpreting Quantify's signal outputs and converting them into executable PineConnector commands.
Unlike standalone trading indicators, this extension serves as a communication layer between your signal generation (Quantify indicator) and trade execution (PineConnector), enabling hands-free trading across multiple timeframes and instruments.
How does the signal processing work?
The extension processes four distinct signal types from Quantify indicators:
Signal Values:
1 = Buy/Long signal - Opens bullish positions
-1 = Sell/Short signal - Opens bearish positions
0.5 = Close Long - Closes all long positions
-0.5 = Close Short - Closes all short positions
The script continuously monitors the "Signal Source" input, which should be connected to any Quantify indicator's output. When a signal is detected, the extension automatically generates the corresponding PineConnector command with your configured parameters.
What are the available order types and how do they work?
The extension supports three order execution modes:
Market Orders:
- Execute immediately at current market price
- Highest execution probability
- Subject to slippage during volatile conditions
Limit Orders:
- Execute only when price reaches a more favorable level
- Buy limits placed below current price
- Sell limits placed above current price
- Dynamic pip offset calculated using ATR-based volatility
Stop Orders:
- Execute when price breaks beyond specified levels
- Buy stops placed above current price
- Sell stops placed below current price
- Useful for breakout strategies
Dynamic Pricing Calculation:
The extension calculates optimal entry prices using volatility-adjusted pip offsets:
priceVolatility = ta.atr(14) / close * 100
volatilityFactor = math.min(math.max(priceVolatility / 0.1, 0.5), 2.0)
pipsOffset = 10 * volatilityFactor
How does the risk management system work?
Risk Percentage:
The extension uses percentage-based position sizing where you specify the risk per trade (0.1% to 10.0%). This value is passed to PineConnector, which calculates the exact position size based on:
- Account balance
- Stop loss distance
- Instrument specifications
- Broker settings
Stop Loss Integration:
- The "Stop Source" input connects to external stop loss levels from Quantify or other indicators. - This ensures:
- Consistent risk-reward ratios
- Dynamic stop placement based on market structure
- Automatic position sizing calculations
Multi-Asset Compatibility:
The extension automatically detects instrument types and adjusts pip calculations:
Forex: mintick * 10
Crypto: mintick * 10
Other assets: mintick * 1
What does the information display table show?
The real-time status table provides essential configuration monitoring:
Status Indicators:
- License: Shows PineConnector license ID status (Blue = Set, Red = Missing)
- Security: Displays secret key status (Blue = Set, Orange = Disabled)
- Comment: Shows trade comment or timeframe if empty
- Symbol: Current trading symbol (manual override or chart symbol)
- Order Type: Active execution mode (Market/Limit/Stop)
- Risk: Risk percentage with color coding (Blue ≤1%, Orange >1%)
- Signal: Connection status (Blue = Connected, Red = Not Set)
- Stop: Stop loss source status (Blue = Connected, Red = Not Set)
Color Coding System:
Blue: Optimal/Connected
Orange: Warning/Moderate risk
Red: Error/Not configured
How do I connect this to my Quantify indicator?
Step-by-Step Connection:
Add the PineConnector Extension to your chart containing Quantify indicator
Configure Signal Source:
In the extension settings, locate "Signal Source"
Click the dropdown and select your Quantify indicator's signal output
The extension will automatically detect custom sources vs. default price data
Configure Stop Source:
Connect "Stop Source" to your Quantify indicator's stop loss output
This enables dynamic position sizing based on stop distance
Verify Connection:
Check the information table for "Signal" and "Stop" status
Blue indicates successful connection
Red indicates default price data (not connected)
Compatible Quantify Indicators:
- Quantify Trading Model
- Any indicator outputting standardized signals (1, -1, 0.5, -0.5)
What PineConnector setup is required?
Prerequisites:
- Active PineConnector License - Required for all functionality
- MetaTrader 4/5 or supported broker platform
- PineConnector EA installed and configured
- TradingView Pro/Pro+/Premium for alert functionality
Configuration Steps:
- License ID: Enter your PineConnector license ID in the extension
- Secret Key: Optional security layer for command verification
- Symbol Mapping: Ensure symbol names match between TradingView and broker
- Alert Setup: Create TradingView alerts using this indicator
- Webhook Configuration: Point alerts to your PineConnector webhook URL
Security Features:
- Optional secret key encryption
- Symbol-specific commands
- Debug mode for testing and validation
What makes this extension unique?
Seamless Integration:
- Unlike manual signal copying, this extension provides:
- Zero-latency signal translation
- Automated parameter passing
- Consistent execution across timeframes
- No human intervention required
Dynamic Adaptability:
Volatility-adjusted pricing for limit/stop orders
Automatic symbol detection and conversion
Multi-asset pip calculations
Intelligent timeframe formatting
Professional Risk Management:
- Percentage-based position sizing
- External stop loss integration
- Multi-order type support
- Real-time status monitoring
Robust Architecture:
- Error-resistant signal processing
- Comprehensive input validation
- Debug and testing capabilities
- Security features for live trading
Installation and Setup Guide
Quick Start:
- Add "PineConnector | Fractalyst" to your chart
- Configure your PineConnector license ID
- Connect Signal Source to your Quantify indicator
- Connect Stop Source to your stop loss indicator
- Set your preferred risk percentage
- Choose order type (Market recommended for beginners)
- Create TradingView alert using this indicator
- Ensure PineConnector EA is running on your trading platform
Advanced Configuration:
- Custom symbol mapping for cross-platform trading
- Secret key implementation for enhanced security
- Comment customization for trade tracking
- Debug mode for strategy validation
Legal Disclaimers and Risk Acknowledgments
Trading Risk Disclosure
This PineConnector Extension is provided for informational, educational, and automation purposes only and should not be construed as financial, investment, or trading advice. The extension facilitates automated trading connections but does not guarantee profitable outcomes, successful trade execution, or positive investment returns.
Automated trading systems carry substantial risks including but not limited to total capital loss, system failures, connectivity issues, and adverse market conditions. The extension's performance depends on multiple third-party services including PineConnector, MetaTrader platforms, TradingView infrastructure, and broker execution quality, any of which may experience downtime, technical failures, or service interruptions that could affect trading performance.
System Dependency Acknowledgment
The extension requires continuous operation of multiple interconnected systems: TradingView charts and alerts, PineConnector services and Expert Advisors, MetaTrader platforms, broker connectivity, and stable internet connections. Any interruption or malfunction in these systems may result in missed signals, failed executions, or unexpected trading behavior.
Users acknowledge that neither the seller nor the creator of this extension has control over these third-party services and cannot guarantee their availability, accuracy, or performance. Market conditions, broker execution policies, slippage, and technical factors may significantly affect actual trading results compared to theoretical or backtested performance.
Liability Limitation
By utilizing this extension, users acknowledge and agree that they assume full responsibility and liability for all trading decisions, financial outcomes, and potential losses resulting from the use of this automated trading system. Neither the seller nor the creator shall be liable for any unfavorable outcomes, financial losses, missed opportunities, or damages resulting from the development, use, malfunction, or performance of this extension.
Past performance of connected indicators, strategies, or the extension itself does not guarantee future results. Trading outcomes depend on numerous factors including market conditions, economic events, broker execution quality, network connectivity, and proper system configuration, all of which are beyond the control of the extension creator.
User Responsibility Statement
Users are solely responsible for understanding the risks associated with automated trading, properly configuring all system components, maintaining adequate capitalization and risk management, and regularly monitoring system performance. Users should thoroughly test the extension in demo environments before live deployment and should never risk more capital than they can afford to lose.
This extension is designed to automate signal execution but does not replace the need for proper risk management, market understanding, and trading discipline. Users should maintain active oversight of their automated trading systems and be prepared to intervene manually when necessary.
Support & Resistance AriesSupport & Resistance Aries
This indicator automatically identifies support and resistance levels based on the highest and lowest closing prices within a configurable period.
How it works:
The user sets a calculation period (default is 20 candles).
The indicator plots:
Green line = Support: lowest closing price within the period.
Red line = Resistance: highest closing price within the period.
Adjustable parameter:
Calculation Period (1 to 200): defines how many candles are used to find the price extremes.
Purpose:
Helps users quickly visualize dynamic support and resistance zones that adjust as price evolves, making it easier to identify areas for potential entries, exits, and stop placements.
Important:
This indicator should not be used as a standalone buy or sell signal, nor as a trend confirmation tool on its own.
It is recommended to use it in combination with other technical analysis tools such as MACD, RSI, Volume, Moving Averages, among others, for a more complete market view.
Disclaimer:
Investing involves financial risk. Be cautious with both profits and losses. Always define a stop loss to avoid larger losses if the trend reverses.
One of the golden rules in trading is: a trader should not lose more than 3% to 5% of their capital per trade. Protecting your capital should always be the priority.
Risk Calculator PRO — manual lot size + auto lot-suggestionWhy risk management?
90 % of traders blow up because they size positions emotionally. This tool forces Risk-First Thinking: choose the amount you’re willing to lose, and the script reverse-engineers everything else.
Key features
1. Manual or Market Entry – click “Use current price” or type a custom entry.
2. Setup-based ₹-Risk – four presets (A/B/C/D). Edit to your workflow.
3. Lot-Size Input + Auto Lot Suggestion – you tell the contract size ⇒ script tells you how many lots.
4. Auto-SL (optional) – tick to push stop-loss to exactly 1-lot risk.
5. Instant Targets – 1 : 2, 1 : 3, 1 : 4, 1 : 5 plotted and alert-ready.
6. P&L Preview – table shows potential profit at each R-multiple plus real ₹ at SL.
7. Margin Column – enter per-lot margin once; script totals it for any size.
8. Clean Table UI – dark/light friendly; updates every 5 bars.
9. Alert Pack – SL, each target, plus copy-paste journal line on the chart.
How to use
1. Add to chart > “Format”.
2. Type the lot size for the symbol (e.g., 1250 for Natural Gas, 1 for cash equity).
3. Pick Side (Buy / Sell) & Setup grade.
4. ✅ If you want the script to place SL for you, tick Auto-SL (risk = 1 lot).
5. Otherwise type your own Stop-loss.
6. Read the table:
• Suggested lots = how many to trade so risk ≤ setup ₹.
• Risk (currency) = real money lost if SL hits.
7. Set TradingView alerts on the built-in conditions (T1_2, SL_hit, etc.) if you’d like push / email.
8. Copy the orange CSV label to Excel / Sheets for journalling.
Best practices
• Never raise risk to “fit” a trade. Lower size instead.
• Review win-rate vs. R multiple monthly; adjust setups A–D accordingly.
• Test Auto-SL in replay before going live.
Disclaimer
This script is educational. Past performance ≠ future results. The author isn’t responsible for trading losses.
Reverse Keltner Channel StrategyReverse Keltner Channel Strategy
Overview
The Reverse Keltner Channel Strategy is a mean-reversion trading system that capitalizes on price movements between Keltner Channels. Unlike traditional Keltner Channel strategies that trade breakouts, this system takes the contrarian approach by entering positions when price returns to the channel after overextending.
Strategy Logic
Long Entry Conditions:
Price crosses above the lower Keltner Channel from below
This signals a potential reversal after an oversold condition
Position is entered at market price upon signal confirmation
Long Exit Conditions:
Take Profit: Price reaches the upper Keltner Channel
Stop Loss: Placed at half the channel width below entry price
Short Entry Conditions:
Price crosses below the upper Keltner Channel from above
This signals a potential reversal after an overbought condition
Position is entered at market price upon signal confirmation
Short Exit Conditions:
Take Profit: Price reaches the lower Keltner Channel
Stop Loss: Placed at half the channel width above entry price
Key Features
Mean Reversion Approach: Takes advantage of price tendency to return to mean after extreme moves
Adaptive Stop Loss: Stop loss dynamically adjusts based on market volatility via ATR
Visual Signals: Entry points clearly marked with directional triangles
Fully Customizable: All parameters can be adjusted to fit various market conditions
Customizable Parameters
Keltner EMA Length: Controls the responsiveness of the channel (default: 20)
ATR Multiplier: Determines channel width/sensitivity (default: 2.0)
ATR Length: Affects volatility calculation period (default: 10)
Stop Loss Factor: Adjusts risk management aggressiveness (default: 0.5)
Best Used On
This strategy performs well on:
Currency pairs with defined ranging behavior
Commodities that show cyclical price movements
Higher timeframes (4H, Daily) for more reliable signals
Markets with moderate volatility
Risk Management
The built-in stop loss mechanism automatically adjusts to market conditions by calculating position risk relative to the current channel width. This approach ensures that risk remains proportional to potential reward across varying market conditions.
Notes for Optimization
Consider adjusting the EMA length and ATR multiplier based on the specific asset and timeframe:
Lower values increase sensitivity and generate more signals
Higher values produce fewer but potentially more reliable signals
As with any trading strategy, thorough backtesting is recommended before live implementation.
Past performance is not indicative of future results. Always practice sound risk management.
MTS📊 MTS (Murrey Math System) Trading Strategy for TradingView 📊
Introduction:
This script implements the Murrey Math System (MTS), a market analysis tool based on a set of pivot points and price ranges, designed to help traders identify key levels of support and resistance.
MTS calculates key price levels based on historical price swings and helps identify price targets, stop-loss levels, and potential breakout zones.
The strategy also includes an adaptive bias panel, showing buy or sell suggestions based on current price action relative to Murrey Math levels.
Key Components:
1. Pivot Calculation and Conditions:
Pivot Lookback & Spikeyness Index:
The pivots: lookback/forward input defines how far back (and forward) the script looks to identify potential pivot points (high and low). A smaller value focuses on more recent swings, while larger values consider a broader range.
The Spikeyness Index (atrMult) allows you to adjust sensitivity to market spikes, utilizing the Average True Range (ATR) to detect sharp price movements that could indicate potential turning points.
Pivot Conditions:
isPivHigh and isPivLow detect local high and low pivot points, respectively.
Spiky Conditions: The spikyH and spikyL conditions filter out pivots that do not meet the spikiness criteria, which is based on ATR and moving averages.
2. Swing High and Swing Low Identification:
The script identifies and stores previous swing highs (HR_prev) and lows (LR_prev), updating them based on the current market structure.
3. Proprietary Calculation:
The propCalc input enables a proprietary calculation method for determining higher or lower levels beyond the typical Murrey Math levels, offering a more adaptive approach to price targets and support/resistance levels.
4. Murrey Math Lines (MML):
MML Calculation:
The code calculates a set of Murrey Math Lines (EightEight, FourEight, ZeroEight), which are key price levels based on the range of the price over a given time period. These levels represent major support and resistance zones, with the EightEight line indicating extremely overbought conditions and ZeroEight signaling deeply oversold conditions.
Level and Extension Lines:
The script also plots additional levels and extensions based on the range between HR and LR, representing key support/resistance levels. These levels are dynamically drawn on the chart, offering clear insights into where price might reverse or break out.
Strategy Logic:
- Breakout and Breakdown:
The Bias Box panel dynamically displays a trade bias, either suggesting to "Buy on Dip" or "Sell on Rise," depending on whether the current price is above or below the midpoint of the Murrey Math range (BEP). This bias is calculated using the market's relationship to the Murrey Math Levels.
- Buy on Dip: When the price is below the midpoint (BEP), suggesting the market is in a buying zone.
- Sell on Rise: When the price is above the midpoint, suggesting the market is in a selling zone.
- Stop-Loss and Target Hints:
The stop-loss (SL) and target levels are dynamically set based on the position relative to HR and LR:
For Buy on Dip: SL is set at LR Low, Target is set at HR High.
For sell on Rise: SL is set at HR Low, Target is set at LR High.
2. Historical and Current Levels:
The script compares the most recent Murrey Math levels with historical levels. This helps identify any shifts or changes in the market structure, enhancing the trader's ability to adapt to new trends.
- Current Levels:
The current levels are drawn from the most recent HR and LR values, with corresponding extensions showing possible breakout or breakdown zones.
- Historical Levels:
Historical levels are drawn in a "ghost" style, helping traders visualize past market conditions and potential support/resistance zones that could still influence price movement.
- Trade Examples:
Example 1: Buy on Dip
a. Scenario:
Price is below the midpoint (BEP), and the bias suggests a buy on dip.
The trader looks for a rebound from the LR Low level, with a target at the HR High.
b. Entry:
Buy when the price reaches the LR Low level.
c. Exit:
Take profit when the price hits the HR High.
d. Stop-Loss:
Place stop-loss at the LR Low.
Example 2: Sell on Rise
a. Scenario:
Price is above the midpoint (BEP), and the bias suggests a sell on rise.
The trader looks for a pullback to the HR Low, with a target at the LR High.
b. Entry:
Sell when the price reaches the HR High level.
c. Exit:
Take profit when the price hits the LR Low.
d. Stop-Loss:
Place stop-loss at the HR Low.
Key Features:
Bias Panel: A table in the top-right corner showing the current market bias (Buy on Dip, Sell on Rise, or Neutral).
Displays real-time trade direction and risk information, such as stop-loss and target hints.
Dynamic Level Adjustment: As the price moves, the script dynamically updates the key levels (HR, LR, and Murrey Math lines), keeping traders aware of the most recent market structure.
Visualization Tools:
The chart is populated with a series of lines and labels that indicate the critical price levels for trading.
Support/Resistance Lines: Each key level is marked with different colors for quick recognition.
Extensions: Additional lines are plotted based on price projections, indicating where the market could potentially move.
Note:
Please note that this is an educational purpose idea, any action/trade taken will be user's own responsibility.
Enjoy!
Regards.
Titan X 📈 Titan X – Optimized Trend Strategy with Gradient ZLEMA, RMI, CCI, ROC, and Volume Confirmation
Titan X is a precision-engineered trend-following strategy designed for crypto markets and high-volatility assets. It is not just a combination of indicators, but a carefully constructed, non-repainting system where each component plays a specific role in confirming high-probability trade setups. The strategy detects strong directional moves, confirms them with momentum and volume, and manages trade exits without relying on traditional stop losses.
🔍 How the Indicators Work Together
✅ 1. ZLEMA Baseline + Gradient Filter
A Zero Lag Exponential Moving Average (ZLEMA) is used to track directional trend with minimal lag.
A gradient (slope) is calculated from the ZLEMA to measure trend acceleration. This confirms whether a trend is gaining strength or losing momentum.
Entries are only taken when the ZLEMA gradient exceeds a user-defined threshold, ensuring trades are only taken in strong, developing trends.
✅ 2. RMI – Relative Momentum Index (with Memory)
RMI captures sustained momentum direction over time.
It helps validate that price isn't just spiking, but truly trending.
Titan X uses RMI as a trend memory filter, requiring consistent momentum alignment before entry.
✅ 3. Momentum Timing – ROC + CCI
The Rate of Change (ROC) determines the strength and direction of recent momentum.
The Commodity Channel Index (CCI) checks price deviation from a moving average baseline, identifying whether momentum is aligned with market structure.
This combo prevents trades in weak, flat, or conflicting conditions.
✅ 4. Volume Spike Confirmation
Titan X uses a relative volume filter, requiring the current bar’s volume to exceed a moving average threshold.
This ensures trades are only triggered when there is clear breakout interest from market participants, helping avoid fakeouts and low-volume moves.
🎯 Trade Entry & Exit Rules
✅ Entry Conditions:
All five filters must align:
Trend direction (ZLEMA slope)
Momentum (ROC & CCI)
Trend memory (RMI)
Volume (Spike filter)
Trades are entered on the next bar after all confirmations, ensuring 100% non-repainting behavior.
✅ Take Profit System (Multi-Level TP):
TP1: Closes 50% of the position at a user-defined % gain (default: 2%)
TP2: Closes the remaining 50% of the position at a higher % gain (default: 4%)
Each TP is executed via limit order to ensure realistic and backtestable fills.
❌ No Stop Loss Used
Instead of using fixed stop losses, Titan X closes positions early when trend conditions weaken.
This dynamic exit logic is based on a reversal in ZLEMA gradient, which serves as a weak trend detection system.
⏱️ Cooldown Logic
A 1-bar cooldown is enforced between trades to avoid same-bar exit/entry violations on TradingView.
This improves execution accuracy and avoids overtrading on choppy price action.
📊 Real-Time Strategy Dashboard
Titan X includes a live dashboard that provides full transparency:
Current Position (Long / Short / Flat)
Entry Price
TP1 Hit? / TP2 Hit?
Bars Since Entry
Win Rate (%)
Profit Factor
Ideal for both manual monitoring and automated bot strategies.
🔔 Bot-Ready Multi-Exchange Alerts
Alerts can be configured for:
ENTER-LONG, ENTER-SHORT
EXIT-LONG, EXIT-SHORT
TP1 / TP2 targets
Messages are fully customizable and designed for platforms like:
WonderTrading
3Commas
TradingConnector
⚙️ Designed For:
Timeframes: 1H and 4H (optimized for crypto)
Markets: Altcoins, BTC/ETH, high-volatility pairs
Traders: Trend-followers, momentum scalpers, algo bot users
Goal: High accuracy entries, structured exits, zero repainting, and flexible trade management
⚠️ TradingView Disclosure
This strategy is provided for educational purposes only. It does not constitute investment advice, nor does it guarantee any returns. Trading carries risk; test thoroughly before using in live environments.
Reversal Trading Bot Strategy[BullByte]Overview :
The indicator Reversal Trading Bot Strategy is crafted to capture potential market reversal points by combining momentum, volatility, and trend alignment filters. It uses a blend of technical indicators to identify both bullish and bearish reversal setups, ensuring that multiple market conditions are met before entering a trade.
Core Components :
Technical Indicators Used :
RSI (Relative Strength Index) :
Purpose : Detects divergence conditions by comparing recent lows/highs in price with the RSI.
Parameter : Length of 8.
Bollinger Bands (BB) :
Purpose : Measures volatility and identifies price levels that are statistically extreme.
Parameter : Length of 20 and a 2-standard deviation multiplier.
ADX (Average Directional Index) & DMI (Directional Movement Index) :
Purpose : Quantifies the strength of the trend. The ADX threshold is set at 20, and additional filters check for the alignment of the directional indicators (DI+ and DI–).
ATR (Average True Range) :
Purpose : Provides a volatility measure used to set stop levels and determine risk through trailing stops.
Volume SMA (Simple Moving Average of Volume ):
Purpose : Helps confirm strength by comparing the current volume against a 20-period average, with an optional filter to ensure volume is at least twice the SMA.
User-Defined Toggle Filters :
Volume Filter : Confirms that the volume is above average (or twice the SMA) before taking trades.
ADX Trend Alignment Filter : Checks that the ADX’s directional indicators support the trade direction.
BB Close Confirmation : Optionally refines the entry by requiring price to be beyond the upper or lower Bollinger Band rather than just above or below.
RSI Divergence Exit : Allows the script to close positions if RSI divergence is detected.
BB Mean Reversion Exit : Closes positions if the price reverts to the Bollinger Bands’ middle line.
Risk/Reward Filter : Ensures that the potential reward is at least twice the risk by comparing the distance to the Bollinger Band with the ATR.
Candle Movement Filter : Optional filter to require a minimum percentage move in the candle to confirm momentum.
ADX Trend Exit : Closes positions if the ADX falls below the threshold and the directional indicators reverse.
Entry Conditions :
Bullish Entry :
RSI Divergence : Checks if the current close is lower than a previous low while the RSI is above the previous low, suggesting bullish divergence.
Bollinger Confirmation : Requires that the price is above the lower (or upper if confirmation is toggled) Bollinger Band.
Volume & Trend Filters : Combines volume condition, ADX strength, and an optional candle momentum condition.
Risk/Reward Check : Validates that the trade meets a favorable risk-to-reward ratio.
Bearish Entry :
Uses a mirror logic of the bullish entry by checking for bearish divergence, ensuring the price is below the appropriate Bollinger level, and confirming volume, trend strength, candle pattern, and risk/reward criteria.
Trade Execution and Exit Strateg y:
Trade Execution :
Upon meeting the entry conditions, the strategy initiates a long or short position.
Stop Loss & Trailing Stops :
A stop-loss is dynamically set using the ATR value, and trailing stops are implemented as a percentage of the close price.
Exit Conditions :
Additional exit filters can trigger early closures based on RSI divergence, mean reversion (via the middle Bollinger Band), or a weakening trend as signaled by ADX falling below its threshold.
This multi-layered exit strategy is designed to lock in gains or minimize losses if the market begins to reverse unexpectedly.
How the Strategy Works in Different Market Conditions :
Trending Markets :
The ADX filter ensures that trades are only taken when the trend is strong. When the market is trending, the directional movement indicators help confirm the momentum, making the reversal signal more reliable.
Ranging Markets :
In choppy markets, the Bollinger Bands expand and contract, while the RSI divergence can highlight potential turning points. The optional filters can be adjusted to avoid false signals in low-volume or low-volatility conditions.
Volatility Management :
With ATR-based stop-losses and a risk/reward filter, the strategy adapts to current market volatility, ensuring that risk is managed consistently.
Recommendation on using this Strategy with a Trading Bot :
This strategy is well-suited for high-frequency trading (HFT) due to its ability to quickly identify reversal setups and execute trades dynamically with automated stop-loss and trailing exits. By integrating this script with a TradingView webhook-based bot or an API-driven execution system, traders can automate trade entries and exits in real-time, reducing manual execution delays and capitalizing on fast market movements.
Disclaimer :
This script is provided for educational and informational purposes only. It is not intended as investment advice. Trading involves significant risk, and you should always conduct your own research and analysis before making any trading decisions. The author is not responsible for any losses incurred while using this script.
Profit Trailing BBandsProfit Trailing Trend BBands v4.7.5 with Double Trailing SL
A TradingView Pine Script Strategy
Created by Kevin Bourn and refined with the help of Grok 3 (xAI)
Overview
Welcome to Profit Trailing Trend BBands v4.7.5, a dynamic trading strategy designed to ride trends and lock in profits with a unique double trailing stop-loss mechanism. Built for TradingView’s Pine Script v6, this strategy combines Bollinger Bands for trend detection with a smart trailing system that doubles down on profit protection. Whether you’re trading XRP or any other asset, this tool aims to maximize gains while keeping risk in check—all with a clean, visual interface.
What It Does
Identifies Trends: Uses Bollinger Bands to spot uptrends (price crossing above the upper band) and downtrends (price crossing below the lower band).
Enters Positions: Opens long or short trades based on trend signals, with customizable position sizing and leverage.
Trails Profits: Employs a two-stage trailing stop-loss:
Initial Trailing SL: Acts as a take-profit level, set as a percentage (%) or dollar ($) distance from the entry price.
Tightened Trailing SL: Once the initial profit target is hit, the stop-loss tightens to half the initial distance, locking in gains as the trend continues.
Manages Risk: Includes a margin call feature to exit losing positions before they blow up your account.
Visualizes Everything: Plots Bollinger Bands (blue upper, orange lower) and a red stepped trailing stop-loss line for easy tracking.
Why Built It?
Captures Trends: Bollinger Bands are a proven way to catch momentum, and we tuned them for responsiveness (short length, moderate multiplier).
Secures Profits: Traditional trailing stops often leave money on the table or exit too early. The double trailing SL first takes a chunk of profit, then tightens up to ride the rest of the move.
Stays Flexible: Traders can tweak price sources, stop-loss types (% or $), and position sizing to fit their style.
Looks Good: Clear visuals help you see the strategy in action without cluttering your chart.
Originally refined for XRP, it’s versatile enough for most markets — crypto, forex, stocks, you name it.
How It Works
Core Components
Bollinger Bands:
Calculated using a simple moving average (SMA) and standard deviation.
Default settings: 6-period length, 1.66 multiplier.
Upper Band (blue): SMA + (1.66 × StdDev).
Lower Band (orange): SMA - (1.66 × StdDev).
Trend signals: Price crossing above the upper band triggers a long, below the lower band triggers a short.
Double Trailing Stop-Loss:
Initial SL: Set via "Trailing Stop-Loss Value" (default 6% or $6). Trails the price at this distance and doubles as the first profit target.
Tightened SL: Once price hits the initial SL distance in profit (e.g., +6%), the SL tightens to half (e.g., 3%) and continues trailing, locking in gains.
Visualized as a red stepped line, only visible during active positions.
Position Sizing:
Choose "% of Equity" (default 30%) or "Amount in $" to set trade size.
Leverage (default 10x) amplifies positions, capped by available equity to avoid overexposure.
Margin Call:
Exits positions if drawdown exceeds the "Margin %" (default 10%) to protect your account.
Backtesting Filter:
Starts trading after a user-defined date (default: Jan 1, 2020) for focused historical analysis.
Trade Logic
Long Entry: Price crosses above the upper Bollinger Band → Closes any short position, opens a long.
Short Entry: Price crosses below the lower Bollinger Band → Closes any long position, opens a short.
Exit: Position closes when price hits the trailing stop-loss or triggers a margin call.
How to Use It
Setup
Add to TradingView:
Open TradingView, go to the Pine Editor, paste the script, and click "Add to Chart."
Ensure you’re using Pine Script v6 (the script includes @version=6).
Configure Inputs:
Start Date for Backtesting: Set the date to begin historical testing (default: Jan 1, 2020).
BB Length & Mult: Adjust Bollinger Band sensitivity (default: 6, 1.66).
BB Price Source: Choose the price for BBands (default: Close).
Trend Price Source: Choose the price for trend detection (default: Close).
Trailing Stop-Loss Type: Pick "%" or "$" (default: Trailing SL %).
Trailing Stop-Loss Value: Set the initial SL distance (default: 6).
Margin %: Define the max drawdown before exit (default: 10%).
Order Size Type & Value: Set position size as % of equity (default: 30%) or $ amount.
Leverage: Adjust leverage (default: 10x).
Run It:
Use the Strategy Tester tab to backtest on your chosen asset and timeframe.
Watch the chart for blue/orange Bollinger Bands and the red trailing SL line.
Tips for Traders
Timeframes: Works on any timeframe, but test 1H or 4H for XRP—great balance of signals and noise.
Assets: Optimized for XRP, but tweak slValue and mult for other markets (e.g., tighter SL for low-volatility pairs).
Risk Management: Keep marginPercent low (5-10%) for volatile assets; adjust leverage based on your risk tolerance.
Visuals: The red stepped SL line shows only during trades—zoom in to see its tightening in action.
Visuals on the Chart
Blue Line: Upper Bollinger Band (trend entry for longs).
Orange Line: Lower Bollinger Band (trend entry for shorts).
Red Stepped Line: Trailing Stop-Loss (shifts tighter after the first profit target).
Order Labels: Short tags like "OL" (Open Long), "CS" (Close Short), "LSL" (Long Stop-Loss), etc., mark trades.
Disclaimer
Trading involves risk. This strategy is for educational and experimental use—backtest thoroughly and use at your own risk. Past performance doesn’t guarantee future results. Not financial advice—just a tool from traders, for traders.
Sniper Trade Pro (ES 15-Min) - Topstep Optimized🔹 Overview
Sniper Trade Pro is an advanced algorithmic trading strategy designed specifically for E-mini S&P 500 (ES) Futures on the 15-minute timeframe. This strategy is optimized for Topstep 50K evaluations, incorporating strict risk management to comply with their max $1,000 daily loss limit while maintaining a high probability of success.
It uses a multi-confirmation approach, integrating:
✅ Money Flow Divergence (MFD) → To track liquidity imbalances and institutional accumulation/distribution.
✅ Trend Confirmation (EMA + VWAP) → To identify strong trend direction and avoid choppy markets.
✅ ADX Strength Filter → To ensure entries only occur in trending conditions, avoiding weak setups.
✅ Break-Even & Dynamic Stop-Losses → To reduce drawdowns and protect profits dynamically.
This script automatically generates Buy and Sell signals and provides built-in risk management for automated trading execution through TradingView Webhooks.
🔹 How Does This Strategy Work?
📌 1. Trend Confirmation (EMA + VWAP)
The strategy uses:
✔ 9-EMA & 21-EMA: Fast-moving averages to detect short-term momentum.
✔ VWAP (Volume-Weighted Average Price): Ensures trades align with institutional volume flow.
How it works:
Bullish Condition: 9-EMA above 21-EMA AND price above VWAP → Confirms buy trend.
Bearish Condition: 9-EMA below 21-EMA AND price below VWAP → Confirms sell trend.
📌 2. Liquidity & Money Flow Divergence (MFD)
This indicator measures liquidity shifts by tracking momentum changes in price and volume.
✔ MFD Calculation:
Uses Exponential Moving Average (EMA) of Momentum (MOM) to detect changes in buying/selling pressure.
If MFD is above its moving average, it signals liquidity inflows → bullish strength.
If MFD is below its moving average, it signals liquidity outflows → bearish weakness.
Why is this important?
Detects when Smart Money is accumulating or distributing before major moves.
Filters out false breakouts by confirming momentum strength before entry.
📌 3. Trade Entry Triggers (Candlestick Patterns & ADX Filter)
To avoid random entries, the strategy waits for specific candlestick confirmations with ADX trend strength:
✔ Bullish Entry (Buy Signal) → Requires:
Bullish Engulfing Candle (Reversal confirmation)
ADX > 20 (Ensures strong trending conditions)
MFD above its moving average (Liquidity inflows)
9-EMA > 21-EMA & price above VWAP (Trend confirmation)
✔ Bearish Entry (Sell Signal) → Requires:
Bearish Engulfing Candle (Reversal confirmation)
ADX > 20 (Ensures strong trending conditions)
MFD below its moving average (Liquidity outflows)
9-EMA < 21-EMA & price below VWAP (Trend confirmation)
📌 4. Risk Management & Profit Protection
This strategy is built with strict risk management to maintain low drawdowns and maximize profits:
✔ Dynamic Position Sizing → Automatically adjusts trade size to risk a fixed $400 per trade.
✔ Adaptive Stop-Losses → Uses ATR-based stop-loss (0.8x ATR) to adapt to market volatility.
✔ Take-Profit Targets → Fixed at 2x ATR for a Risk:Reward ratio of 2:1.
✔ Break-Even Protection → Moves stop-loss to entry once price moves 1x ATR in profit, locking in gains.
✔ Max Daily Loss Limit (-$1,000) → Stops trading if total losses exceed $1,000, complying with Topstep rules.
[TehThomas] - ICT Liquidity sweepsThe ICT Liquidity Sweeps Indicator is designed to track liquidity zones in the market areas where stop-losses and pending orders are typically clustered. This indicator marks buyside liquidity (resistance) and sellside liquidity (support), helping traders identify areas where price is likely to manipulate liquidity before making a significant move.
This tool is based on Inner Circle Trader (ICT) Smart Money Concepts, which emphasize how institutional traders, or “Smart Money,” manipulate liquidity to fuel price movements. By identifying these zones, traders can anticipate liquidity sweeps and position themselves accordingly.
⚙️ How It Works
1️⃣ Detects Key Liquidity Zones
The script automatically identifies significant swing highs and swing lows in price action using a pivot-based method.
A swing high (buyside liquidity) is a peak where price struggles to break higher, forming a resistance level.
A swing low (sellside liquidity) is a valley where price struggles to go lower, creating a support level.
These liquidity points are prime targets for liquidity sweeps before a true trend direction is confirmed.
2️⃣ Draws Liquidity Lines
Once a swing high or low is identified, a horizontal line is drawn at that level.
The lines extend to the right, serving as future liquidity targets until they are broken.
The indicator allows customization in terms of color, line width, and maximum number of liquidity lines displayed at once.
3️⃣ Handles Liquidity Sweeps
When price breaks a liquidity level, the indicator reacts based on the chosen action setting:
Dotted/Dashed: The line remains visible but changes style to indicate a sweep.
Delete: The line is completely removed once price has interacted with it.
This feature ensures that traders can easily spot where liquidity has been taken and determine whether a reversal or continuation is likely.
4️⃣ Prevents Chart Clutter
To maintain a clean chart, the script limits the number of liquidity lines displayed at any given time.
When new liquidity zones are formed, the oldest lines are automatically removed, keeping the focus on the most relevant liquidity zones.
🎯 How to Use the ICT Liquidity Sweeps Indicator
🔍 Identifying Liquidity Grabs
This indicator helps you identify areas where Smart Money is targeting liquidity before making a move.
Buyside Liquidity (BSL) Sweeps:
Occur when price spikes above a resistance level before reversing downward.
Indicate that Smart Money has hunted stop-losses and buy stops before driving price lower.
Sellside Liquidity (SSL) Sweeps:
Occur when price drops below a support level before reversing upward.
Indicate that Smart Money has collected liquidity from stop-losses and sell stops before pushing price higher.
📈 Combining with Market Structure Shifts (MSS)
One of the best ways to use this indicator is in conjunction with our Market Structure Shifts Indicator.
Liquidity sweeps + MSS Confirmation give strong high-probability trade setups:
Wait for a liquidity sweep (price takes out a liquidity level).
Look for an MSS in the opposite direction (e.g., price sweeps a high, then breaks a recent low).
Enter the trade in the new direction with stop-loss above/below the liquidity sweep.
📊 Entry & Exit Strategies
Long Trade Example:
Price sweeps a key sellside liquidity level (SSL) → creates a false breakdown.
MSS confirms a reversal (price breaks structure upwards).
Enter long position after confirmation.
Stop-loss below the liquidity grab to minimize risk.
Short Trade Example:
Price sweeps a key buyside liquidity level (BSL) → takes liquidity above resistance.
MSS confirms a bearish move (price breaks a key support level).
Enter short position after confirmation.
Stop-loss above the liquidity grab.
🚀 Why This Indicator is a Game-Changer
✅ Helps Identify Smart Money Manipulation – Understand where institutions are likely to grab liquidity before the real move happens.
✅ Enhances Market Structure Analysis – When paired with MSS, liquidity sweeps become powerful signals for trend reversals.
✅ Filters Out False Breakouts – Many traders get caught in liquidity grabs. This indicator helps avoid bad entries.
✅ Keeps Your Chart Clean – The auto-limiting feature ensures that only the most relevant liquidity levels remain visible.
✅ Works on Any Timeframe – Whether you’re a scalper, day trader, or swing trader, liquidity concepts apply universally.
📌 Final Thoughts
The ICT Liquidity Sweeps Indicator is a must-have tool for traders who follow Smart Money Concepts. By tracking liquidity levels and highlighting sweeps, it allows traders to enter trades with precision while avoiding false breakouts.
When combined with Market Structure Shifts (MSS), this strategy becomes even more powerful, offering traders an edge in spotting reversals and timing entries effectively.
__________________________________________
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Make sure to follow me for more price action insights, free indicators, and trading strategies. Let’s grow and trade smarter together! 📈✨
NSE: 2in1 Options-Index (Nifty-Bank-MID-Fin)
1. Using Two Charts in One Indicator with Buy and Sell Signals on Both Charts
Dual-Chart Functionality: This indicator allows you to monitor two charts simultaneously – the main chart (Options) and the underlying index chart (NIFTY, BANKNIFTY, etc.).
The index chart (below the main chart) shows the underlying index movement.
The main chart displays the Options data (e.g., NIFTY options, BANKNIFTY options).
Buy/Sell Signals on Both Charts:
Buy and sell signals are generated on both the options chart and the index chart, ensuring you don’t miss any trading opportunities.
This dual-chart setup helps you correlate the movement of the index with the options data for better decision-making.
2. Works Across Major Indices (NIFTY, BANKNIFTY, FINNIFTY, etc.)
Automatic Index Detection: The script automatically detects the underlying index based on the chart symbol. It supports:
NIFTY, BANKNIFTY, FINNIFTY, MIDCPNIFTY, SENSEX
Flexibility: Whether you’re trading NIFTY options or BANKNIFTY options, the indicator adapts to the selected index and provides accurate signals.
3. Helps You Select ATM, ITM, and OTM Strikes (Ideal for Beginners and Advanced Traders)
ATM (At-The-Money) Strike Calculation:
The script calculates the ATM strike price based on the current spot price of the underlying index.
ITM (In-The-Money) and OTM (Out-Of-The-Money) Strikes:
Users can adjust the strike price using a slider to select ITM or OTM strikes.
This feature is especially helpful for beginners who are learning about options trading and want to understand the difference between ITM, ATM, and OTM strikes.
Strike Price Display:
The selected strike price is displayed on the chart, making it easy to identify the right strike for your trades.
4. Double EMA Selection for Trading
Customizable EMAs:
The script uses two Exponential Moving Averages (EMAs) to generate signals:
Short EMA (Default: 21 periods)
Long EMA (Default: 34 periods)
Users can customize the EMA lengths based on their trading strategy.
5. Option Chart in the Main Chart with Index Chart Below for Easy Monitoring
Integrated Chart Setup:
The main chart displays the options data (e.g., NIFTY options, BANKNIFTY options).
The index chart (below the main chart) shows the underlying index movement.
Benefits:
This setup allows you to monitor both the options and the index in a single view, making it easier to:
Correlate the movement of the index with the options data.
Identify trading opportunities directly on the chart.
No need to switch between multiple charts – everything is in one place.
6. Targets and Stop-Loss When the Signal is Generated
Dynamic Targets and Stop-Loss:
The script calculates targets and stop-loss levels based on the Predicted Range (PR) bands.
Trailing Stop-Loss:
The stop-loss level adjusts dynamically as the price moves in your favor.
Target Levels:
Two target levels are provided (Target 1 and Target 2) based on the PR bands.
Visual Indicators:
Targets and stop-loss levels are plotted on the chart with labels and lines for easy reference.
Colors:
Trailing Stop: Light Pink
Target 1: Light Green
Target 2: Light Green
7. Various Other Options in One Indicator
Advanced Statistical Bands (KRO Settings):
The script includes Kernel Regression Oscillator (KRO) settings for advanced traders.
Plots upper and lower bands based on standard deviation and kernel regression.
Helps identify overbought and oversold conditions.
Customizable Alerts:
Users can enable/disable alerts for:
Buy/Sell signals.
Trailing stop-loss hits.
Target achievements.
Summary of Benefits
All-in-One Tool: Combines candlestick analysis, EMAs, options strike selection, targets, stop-loss, and advanced statistical bands in a single indicator.
Beginner-Friendly: Helps new traders understand ATM, ITM, and OTM strikes while providing clear buy/sell signals.
Advanced Features: Includes KRO settings, dynamic targets, and trailing stop-loss for experienced traders.
Dual-Chart Setup: Monitor options and the underlying index simultaneously for better decision-making.
Customizable: Adjust EMA lengths, strike prices, colors, and alerts to suit your trading style.
