Mother Candles | ZeeZeeMonMother Candles | ZeeZeeMon
Описание:
Индикатор Mother Candles предназначен для выявления ключевых "материнских свечей" и построения структурных точек, которые помогают определять начало и конец локальных движений на рынке. Он автоматически отслеживает свечи с экстремальными значениями High и Low и формирует визуальные уровни поддержки и сопротивления, а также линии зигзага, отображающие смену тренда.
Индикатор полезен для:
Определения уровней, которые могут служить зонами спроса и предложения
Визуализации локальных трендов и переломных точек
Построения зигзага для анализа структур движения цены
Основная логика работы:
Материнская свеча (Mother Candle)
Выделяется свеча с экстремальными значениями High и Low. Линии High и Low материнской свечи отображаются на графике. Каждая последующая свеча сравнивается с текущей материнской свечой для определения пробоя уровней.
Тренд и структурные точки
Тренд фиксируется как 1 (восходящий) или -1 (нисходящий). При смене тренда индикатор фиксирует ключевую структурную точку и отображает её меткой на графике. Если происходит одновременный пробой уровней материнской свечи, сначала определяется, какой уровень пробит первым, и строятся соответствующие структурные точки.
Зигзаг
Между структурными точками автоматически строятся линии зигзага, показывающие локальные изменения тренда.
Обновление уровней
Линии материнской свечи обновляются на каждом баре. Старые линии удаляются и создаются новые при появлении новой материнской свечи.
Настройки индикатора:
Визуализация зигзага
Показывать зигзаг – включение/отключение линий зигзага
Цвет зигзага – выбор цвета линии
Толщина линии зигзага – регулирует толщину линии (1–5)
Линии материнской свечи
Показывать границы материнской свечи – включение/отключение линий High/Low
Структурные точки
Показывать структурные точки – включение/отключение меток ключевых экстремумов
Что показывает индикатор:
Зеленая линия – уровень High текущей материнской свечи
Красная линия – уровень Low текущей материнской свечи
Меткi на графике – ключевые экстремумы, смена тренда
Линии зигзага – визуализация локального движения цены между структурными точками
Рекомендации по использованию:
Использовать на любых таймфреймах для выявления локальных экстремумов
Совмещать с другими индикаторами тренда и объема для подтверждения сигналов
Подходит для выявления точек входа и выхода на основе локальных уровней поддержки и сопротивления
Mother Candles | ZeeZeeMon
Description:
The Mother Candles indicator is designed to identify key "mother candles" and construct structural points that help determine the beginning and end of local market movements. It automatically tracks candles with extreme High and Low values and forms visual support and resistance levels, as well as zigzag lines reflecting trend changes.
The indicator is useful for:
Identifying levels that can act as demand and supply zones
Visualizing local trends and reversal points
Constructing a zigzag for analyzing the structure of price movement
Core logic:
Mother Candle
A candle with extreme High and Low values is highlighted. The High and Low lines of the mother candle are displayed on the chart. Each subsequent candle is compared with the current mother candle to determine level breakouts.
Trend and Structural Points
The trend is fixed as 1 (uptrend) or -1 (downtrend). When the trend changes, the indicator marks a key structural point and displays it on the chart. If both mother candle levels are broken simultaneously, the level broken first is identified, and the corresponding structural points are drawn.
Zigzag
Zigzag lines are automatically drawn between structural points, showing local trend changes.
Level Updates
Mother candle lines are updated on each bar. Old lines are removed and new ones are created when a new mother candle appears.
Indicator Settings:
Zigzag Visualization
Show zigzag – enable/disable zigzag lines
Zigzag color – choose line color
Zigzag line width – adjust line thickness (1–5)
Mother Candle Lines
Show mother candle boundaries – enable/disable High/Low lines
Structural Points
Show structural points – enable/disable key extremum labels
What the indicator shows:
Green line – High level of the current mother candle
Red line – Low level of the current mother candle
Labels on the chart – key extremums, trend changes
Zigzag lines – visualization of local price movement between structural points
Usage Recommendations:
Use on any timeframe to identify local extremums
Combine with other trend and volume indicators to confirm signals
Suitable for identifying entry and exit points based on local support and resistance levels
Göstergeler ve stratejiler
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
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## 🙏 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.**
ApexSignalsIve been working with pine code for a really long time now, took me about 6 months to build this script, hopefully it works well for you.very good for trading. will help you out a lot
Magnus Bestest 2This indicator is a sophisticated version of my Magnus Bestest signature move only as this script is highly advanced and has a huge amount of lines of code and structures so I had to create a new separate indicator for it. It signals only when there is a very nice liquidity and broken pivot points, confirming a truly nice trade opportunity.
My main indicator named Magnus Bestest is still working great and has all the other signals and alerts.
DISCLAIMER: I'm not a financial adviser and this is not a financial advise, just for educational purposed. Remember, most traders lose money.
Golden Ratio Trend Persistence PRO [EWT]Golden Ratio Trend Persistence PRO indicator provides a dynamic, self-adjusting Fibonacci retracement level based on the Golden Ratio (0.618), specifically designed to identify and track the persistence of major market trends. It is built on a core philosophy that a genuine trend will respect a key retracement level relative to its anchor point.
This is PRO version of the free GRTP Indicator
What's Extra in this PRO Version 🚀
This updated version introduces crucial tools for advanced analysis and execution:
Multi-Timeframe (MTF) Trend Table: A customizable table is displayed on the chart to provide an immediate summary of the indicator's trend direction across five key timeframes (1D, 4H, 1H, 15m, 5m), giving you instant insight into cross-market directional confluence.
Visual Range Plotting: The indicator now plots the Anchor Price (the initial pivot that established the trend) and the Extremity Price (the highest high or lowest low achieved since the trend began), visually defining the exact price range used for the Fibonacci calculation.
Trend Reversal Alerts: Dedicated alerts are included to notify you the moment the closing price crosses the dynamic Fibonacci level, signaling a potential trend reversal (Bullish → Bearish, or Bearish → Bullish).
Flexible Price Source: You can now choose whether the trend's extremity should be tracked using the High/Low (more sensitive) or the Close price (smoother).
How the Indicator Works
The Golden Ratio Trend Persistence (GRTP) indicator uses a non-repainting logic to define the trend:
Trend Establishment : The indicator uses the first confirmed Pivot High or Pivot Low (based on user-defined lookback periods) to establish a major trend direction:
First Pivot High → Downtrend
First Pivot Low → Uptrend
Re-Anchoring : Trend's starting 'Anchor Price' will move to new, stronger pivots (higher lows in an uptrend, lower highs in a downtrend). This makes the level more dynamic.
Dynamic Level Calculation : The indicator continuously tracks the Extremity Price (the new High in an uptrend, or new Low in a downtrend). The Dynamic Level is calculated using the Golden Ratio retracement (61.8%) by default, but can be configured to use other setting:
Uptrend: Support Level=Extremity Price−0.618×(Extremity Price−Anchor Price)
Downtrend: Resistance Level=Extremity Price+0.618×(Anchor Price−Extremity Price)
Trend Reversal : The trend state officially flips when the closing price crosses the Dynamic Level. This strict rule serves as an objective measure of trend invalidation and triggers the corresponding alert.
Cybertrading-Insidebar hunter pro robotThe Cybertrading-Inside Pro strategy is an advanced version of Cyber-Inside.
It automates ATR-based inside-bar trading with optional pullback entries, full risk/reward visualization, time filtering, pending-order handling, and fixed chart watermark branding (“CollegePips / CyberTrading”).
⚙️ Technical Overview
1. Core Structure
Uses ATR(14) to measure volatility and classify candle ranges.
Candles are labeled as Spinning, Standard, Long, or Huge based on their range vs. ATR.
Only valid candles (Standard or Long) qualify to confirm a setup.
2. Inside-Bar Logic
The setup requires the current candle’s high/low to be fully contained inside the previous candle (an inside bar).
A wick-break must occur — the wick slightly breaks the previous inside bar’s range while the body remains inside.
This pattern forms a Pierce-Only signal.
Direction:
Wick down → potential Long entry
Wick up → potential Short entry
3. Timing and Entry Conditions
With the time filter enabled, trades trigger only between defined hours (e.g., 07–22).
If Enable Pullback is on, the entry is placed using a limit order offset by pullbackATR × ATR from the signal candle.
If the pullback entry isn’t triggered within pullbackMaxBars, the pending order is canceled automatically.
You can also enable display-only entries without execution (Enable Entry Without Pullback).
4. Risk & Target Management
Stop loss is placed beyond the second-previous candle’s high/low ± stopBuffer × ATR.
Take-profit is based on the chosen risk/reward multiple (RR) or the previous candle’s high/low.
Position size auto-adjusts to keep total risk equal to riskPercent of equity.
5. Visual Components
Dynamic chart objects include:
Red box: risk zone (entry → stop)
Green/blue box: reward zone (entry → target)
Dotted diagonal line: risk-to-reward path
Arrows: actual fill points
6. Order Management System
Each signal creates a unique order ID (pendingId) and exit ID (planExitId).
On a valid fill (newLong / newShort), real stop, target, and position size are applied.
If an order isn’t filled within the timeout window, it’s canceled and reset automatically.
7. Advantages
✅ Smart inside-bar pattern recognition
✅ Automated risk control and dynamic sizing
✅ Clear visual feedback for analysis
✅ Fully backtest-ready for research or education
CyberTrading-Inside Hunt RobotThis Pine Script strategy, titled "Cyber-Inside", is a fully automated entry and risk management system built around inside bar pierce patterns and ATR-based dynamic stops/targets. It identifies specific candle formations, calculates position sizing based on risk percentage, and visually displays risk/reward zones and trade labels on the chart.
Detailed Explanation
1. Core Logic
The script searches for inside bars — candles whose high and low are contained within the previous bar — that appear after a valid “normal” or “long” range candle.
Then it waits for a wick pierce (a candle that breaks the previous inside bar's range slightly but closes inside).
That wick pierce acts as a potential reversal or continuation signal:
wickDown → possible long entry
wickUp → possible short entry
2. ATR-based Classification
Each candle is compared to the ATR(24):
Spinning (small) → below 0.8 × ATR
Standard → between 0.8× and 1.2× ATR
Long → between 1.2× and 2.5× ATR
Huge → above 2.5× ATR
Only certain candle types (standard or long) in the previous bars qualify for pattern validation.
3. Entry Conditions
A trade signal occurs when:
The current bar forms a wick pierce of a prior inside bar pattern.
No active position exists (strategy.position_size == 0).
Then:
For longs, entry at close, stop at previous low minus ATR buffer.
For shorts, entry at close, stop at previous high plus ATR buffer.
4. Risk Management
The stop distance defines the risk per trade, and the position size is adjusted dynamically so that only the chosen riskPercent (e.g., 1%) of equity is at risk.
If useRR is enabled, a take-profit target is placed using the defined risk/reward multiple (rr, e.g. 1:3).
If disabled, the target defaults to the previous candle’s high or low.
5. Visualization
The strategy visually marks:
Entry points (triangles)
Red box = risk zone (entry → stop)
Green box = reward zone (entry → target)
Optional diagonal and horizontal lines for clarity
Labels updated after trade closes with PnL values (profit or loss)
6. Application
This system helps traders:
Automate inside-bar breakout or reversal entries
Maintain strict risk-based position sizing
Visually assess trade zones and risk/reward areas
Backtest and evaluate performance consistency on various timeframes and assets
Bullmart Discounted Momentum 1.0detection of timeframe-specific patterns on manipulated coins, - screening for over-extension of pronounced directional movements against their usual natural growth-rate boundary
RBD + SMA/EMA/ORB + Buy/Sell ComboWhat is SMA (Simple Moving Average)?
The Simple Moving Average (SMA) smooths out price data by calculating the average closing price over a specific number of periods.
It helps identify trend direction and potential reversals.
📊 SMA 21 and SMA 50 Explained:
SMA Description Use
SMA 21 Short-term moving average (last 21 candles) Shows short-term trend and momentum
SMA 50 Medium-term moving average (last 50 candles) Shows medium-term trend and key support/resistance levels
⚙️ How to Use Them Together:
Bullish Signal (Buy) 🟢
When SMA 21 crosses above SMA 50, it’s called a Golden Cross → trend turning up.
Indicates potential buy or long opportunity.
Bearish Signal (Sell) 🔴
When SMA 21 crosses below SMA 50, it’s called a Death Cross → trend turning down.
Indicates potential sell or short opportunity.
Trend Confirmation:
Price above both SMAs → uptrend.
Price below both SMAs → downtrend.
Support/Resistance:
During uptrends, SMA 21 often acts as dynamic support.
During downtrends, SMA 50 can act as resistance.
⏱ Example (for 10-min Nifty chart):
If SMA 21 > SMA 50 and price trades above both → look for buy on dips.
If SMA 21 < SMA 50 and price stays below → look for sell on rise setups.
DOGE_TRYING_SCALP_V093dont use this
this is for my fri
he entire purpose of this indicator is to automate the difficult part of the strategy—finding the perfect two-candle setup. It makes trading the system simple, visual, and mechanical.
The Three Key Visuals on Your Chart
The indicator gives you three pieces of information. Understanding them is the key to using it effectively.
The Yellow Candle (The "Setup Candle")
What it is: This is the "Rejection Wick Candle." It's the first candle in the two-part pattern.
What it means: "Get Ready." A potential trade setup is forming, but it is NOT a signal to enter yet. It tells you that the market tried to push in one direction and failed.
Your Action: Do nothing. Simply pay close attention to the next candle that is forming.
The Signal Triangle (The "Entry Trigger")
What it is: A green "LONG" triangle below the candle or a red "SHORT" triangle above the candle.
What it means: "GO." This is your confirmation. It only appears after the candle following the yellow one has closed and confirmed the direction of the trade.
Your Action: This is your signal to enter the trade immediately at the market price.
The Stop Loss Line (The "Safety Net")
What it is: A solid green or red line that appears at the same time as the Signal Triangle.
What it means: This is the exact price where your initial Stop Loss should be placed. The indicator calculates it for you automatically based on the rules.
Your Action: After entering the trade, place your Stop Loss order at this price level.
Step-by-Step Guide to Trading a LONG (Buy) Signal
Let's walk through a live example.
Step 1: The Setup Appears
You are watching the 15-minute chart. The price has been dropping. Suddenly, a candle with a long lower wick closes and the indicator colors it YELLOW.
What this tells you: The sellers tried to push the price down, but buyers stepped in and rejected the lower prices. This is a potential bottom.
Your Action: Do nothing yet. You are now waiting for confirmation.
Step 2: The Confirmation and Entry Trigger
You wait for the next 15-minute candle to complete. It closes as a green (bullish) candle. The moment it closes, three things appear instantly:
A green "LONG" triangle appears below that confirmation candle.
A solid green line appears at the low of the previous yellow candle.
The background of the two-candle pattern is shaded.
What this tells you: The rejection has been confirmed by bullish momentum. The system's rules for entry have been met.
Your Action:
Enter a BUY (Long) trade immediately.
Place your Stop Loss at the level of the solid green line.
Step 3: Manage the Trade
The indicator has done its job of getting you into a high-probability trade with a defined risk. Now, you manage the trade manually according to the strategy's rules (trailing your stop loss under the low of each new candle that makes a higher high).
Step-by-Step Guide to Trading a SHORT (Sell) Signal
Now, let's look at the opposite scenario.
Step 1: The Setup Appears
You are watching the 15-minute chart. The price has been rising. A candle with a long upper wick closes and the indicator colors it YELLOW.
What this tells you: The buyers tried to push the price up, but sellers took control and rejected the higher prices. This is a potential top.
Your Action: Wait for confirmation.
Step 2: The Confirmation and Entry Trigger
You wait for the next 15-minute candle to complete. It closes as a red (bearish) candle. The moment it closes, you will see:
A red "SHORT" triangle appear above that confirmation candle.
A solid red line appear at the high of the previous yellow candle.
The background of the pattern will be shaded.
What this tells you: The rejection has been confirmed by bearish momentum. It's time to sell.
Your Action:
Enter a SELL (Short) trade immediately.
Place your Stop Loss at the level of the solid red line.
Step 3: Manage the Trade
Just like before, your entry and initial risk are set. Your job now is to manage the trade by trailing your stop loss above the high of each new candle that makes a lower low.
Summary of the Workflow
Check H1 Trend (Optional but Recommended): Look at the 1-Hour chart to know if you should be favoring Buys or Sells.
Wait for Yellow: On the M15 chart, wait patiently for the indicator to color a candle yellow.
Wait for the Triangle: Wait for the next candle to close. If a green or red triangle appears, the setup is confirmed.
Execute: Enter your trade and immediately set your stop loss at the line the indicator provides.
Manage: Manage the rest of the trade manually.
Average Daily Range [Blaz]Version 1.0 – Published October 2025: Initial release
1. Overview & Purpose
The Average Daily Range is an advanced volatility assessment tool designed to give traders a clear, real-time view of the market's expected daily movement. It calculates the average range between daily highs and lows over a user-defined historical period and projects this average onto the current trading session.
By visualising the potential high and low boundaries for the day, this indicator assists in setting realistic profit targets, managing risk effectively, and identifying when price action is becoming overextended relative to its recent volatility profile. It is an essential tool for day traders and swing traders across all markets, including Forex, Stocks, Crypto, Futures, and Commodities.
2. Core Functionality & Key Features
The indicator provides a dynamic, multi-faceted analysis of daily volatility:
Historical ADR Calculation: Automatically computes the Average Daily Range based on the specified number of previous trading days (configurable from 1 to 20).
Real-Time Range Tracking: Monitors and displays the current day's live price range as it develops.
Percentage Used Metric: Shows the percentage of the historical ADR that the current day's range has already consumed, providing an immediate gauge of remaining volatility potential.
Remaining Range Projection: Visually highlights the potential upward and downward movement remaining to meet the average range, displayed as semi-transparent areas on the chart.
Daily Open Reference: Plots customisable vertical separation lines and horizontal price lines at the daily open to clearly anchor the current session's price action.
3. Visual Components & Analytical Insights
A fully configured Average Daily Range setup displays several key analytical components that work together to provide a comprehensive volatility overview.
3.1. Information Table
A highly customizable data table provides a concise summary of all critical metrics at a glance:
Historical Ranges: Displays the individual daily ranges for the selected lookback period.
ADR Value: The calculated average range.
Today's Range: The live, developing range for the current session.
% Used: A colour-coded percentage (turning orange upon exceeding 100% and red upon exceeding 150%) showing how much of the average volatility has been consumed.
3.2. Visual Range Projections
Remaining Range Zones: When the current day's range is below the historical average, semi-transparent zones extend from the current day's extreme high and low, illustrating the additional movement required to reach the ADR. This provides an instant visual cue for potential target zones.
Daily Open Markers: Clean, customisable lines mark the start of each trading day (vertical line) and the daily open price (horizontal line), helping to contextualise intraday price moves.
4. Input Parameters and Settings
4.1. General Settings
Lookback: Set the number of days used to calculate the Average Daily Range (1-20).
Set Alert: Configure alerts to be notified when the current day's range consumes a significant portion (e.g., 100% or more) of the historical ADR.
4.2. Table Customization
Visibility & Style: Toggle the table and historical data on/off. Fully customise the header and body colours, text colours, border style, and font sizes.
Placement & Orientation: Precisely position the table anywhere on the chart (Top/Bottom/Centre, Left/Right) and choose between Horizontal or Vertical layout to best suit your chart layout.
4.3. Visual Style Controls
Remaining Range: Toggle the projection zones on/off and customise their colour and transparency.
Daily Open Markers: Independently control the visibility, colour, style, and width of the daily separation line and the open price line.
5. Protected Logic & Original Design
The Average Daily Range indicator incorporates proprietary logic for efficiently tracking intraday extremes, managing historical data arrays, and dynamically rendering visual elements. The closed-source nature of this tool protects the author's original code structure and optimisation techniques, particularly the real-time area fill projection logic for the remaining daily range and the dynamic table management system. This ensures the indicator remains performant and reliable while being freely accessible to the entire TradingView community.
6. Disclaimer & Terms of Use
This indicator, titled Average Daily Range , has been independently developed by the author. The code and its structural logic are original and were written entirely from scratch to reflect a unique and efficient approach to volatility analysis. The internal mechanics were written from scratch and are not based on any publicly available script or third-party code.
This tool is provided solely for educational and informational purposes. It is not intended as financial advice, investment guidance, or a specific recommendation to buy or sell any financial instrument. The indicator is designed to assist with technical analysis based on volatility but does not guarantee accuracy or profitability.
Trading financial markets involves significant risk, including the possibility of loss of capital. By using this indicator, you acknowledge and accept that you are solely responsible for any decisions you make and for all trading outcomes. No part of this script should be considered a signal or assurance of success in the market.
WSH - Calvin / Scott EMA'sProvides EMA's as described by Calvin Hill along with some other EMA's including Hull, SSMA and some settings to turn on or off some of the noise.
HTF Supply & Demand Zones 📊 Overview
Advanced supply and demand zone indicator that automatically detects institutional-level price zones on higher timeframes and dynamically adapts zone colors based on price position. Zones below price act as demand (support) and zones above price act as supply (resistance).
✨ Key Features
🎯 Dynamic Zone Recognition
- Smart Color Adaptation: Zones automatically change from demand (green) to supply (red) when price crosses them
- Higher Timeframe Analysis: Detect zones from any timeframe while trading on lower timeframes
- Base/Blast Pattern Detection**: Identifies strong institutional zones using base-blast candle methodology
- Automatic Zone Flipping: Broken demand zones become supply and vice versa
📈 Zone Detection Method
Uses the proven Base & Blast candle pattern:
- Base Candle: Small consolidation candle with minimal wick
- Blast Candle: Strong momentum candle breaking from the base
- Customizable Ratio: Adjust base/blast body size ratio (default 8:1)
- Wick Filter: Ensures clean base candles for higher probability zones
🎨 Visual Features
- Clean Zone Boxes: Extended zones with customizable colors and transparency
- Smart Labels: Display zone type and touch count
- Touch Counter: Track how many times price has tested each zone
- Info Dashboard: Real-time statistics in top-right corner
⚙️ Zone Management
- Auto-Delete After X Touches**: Remove zones after specified number of tests (default: 5)
- Optional Break Deletion**: Choose whether to delete zones when price breaks through
- Maximum Zone Limit**: Control chart cleanliness by limiting displayed zones
- Extended Zones**: All zones extend to the right for forward visibility
🔧 Settings
Detection Parameters
- Higher Timeframe: Select any timeframe for zone detection (empty = current timeframe)
- Base/Blast Ratio: 4.0 to 30.0 (default: 8.0) - Higher = stronger zones, fewer signals
- Wick Threshold: 0.1 to 0.5 (default: 0.3) - Maximum base candle wick size
Display Options
- Toggle demand/supply zones independently
- Maximum zones to display (1-50)
- Show/hide zone labels
- Customizable colors for demand and supply zones
- Adjustable border width
Zone Management
- Delete after X touches (1-30 touches)
- Delete on break option
- Touch counter displays current/max touches
💡 How to Use
For Swing Trading
1. Set timeframe to Daily or Weekly
2. Use 8:1 ratio for high-quality zones
3. Enable auto-delete after 3-5 touches
4. Trade pullbacks to green zones (demand) for longs
5. Trade rallies to red zones (supply) for shorts
For Day Trading
1. Set timeframe to 1H or 4H
2. Use 6:1 ratio for more zones
3. Watch for zone color changes as confirmation
4. Enter when price retests zones in the direction of the higher timeframe trend
For Scalping
1. Set timeframe to 15m or 1H
2. Use 5:1 ratio for frequent signals
3. Focus on first touch of fresh zones
4. Use lower timeframes for precise entries
📋 Best Practices
✅ DO:
- Use zones from higher timeframes for better reliability
- Wait for zone color change as confirmation of flip
- Focus on first 2-3 touches of a zone
- Combine with trend analysis
- Use zones as targets and entry levels
❌ DON'T:
- Trade every zone - quality over quantity
- Ignore the touch counter
- Use on very low timeframes without HTF context
- Trade zones that have been tested many times
🎓 Understanding Dynamic Colors
Green Zones (Demand) = Below current price = Support = Look for bounces
Red Zones (Supply) = Above current price = Resistance = Look for rejections
When price breaks a green zone downward, it flips to red (former support becomes resistance)
When price breaks a red zone upward, it flips to green (former resistance becomes support)
📊 Info Dashboard
The top-right table displays:
- Active timeframe
- Current demand zones count (below price)
- Current supply zones count (above price)
- Active base/blast ratio
- Maximum touches setting
🔔 Trading Signals
High Probability Setups:
- Fresh zones (0-1 touches) on higher timeframes
- Zones that align with major support/resistance
- First test after a zone color flip
- Multiple timeframe confluence
Avoid:
- Zones with 4+ touches
- Zones in choppy/ranging markets
- Counter-trend zones during strong momentum
⚡ Performance Notes
- Maximum 500 boxes and lines supported
- Optimized for real-time scanning
- Minimal resource usage
- No repainting - all zones are confirmed
🎯 Recommended Settings by Trading Style
Conservative (Higher Quality)
- Ratio: 10:1
- Wick Threshold: 0.2
- Delete After: 3 touches
Balanced (Default)
- Ratio: 8:1
- Wick Threshold: 0.3
- Delete After: 5 touches
Aggressive (More Signals)
- Ratio: 6:1
- Wick Threshold: 0.4
- Delete After: 7 touches
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📖 Additional Resources
For more information on supply and demand trading:
- Study institutional order flow
- Learn base and blast candle patterns
- Understand market structure and liquidity zones
- Practice on demo before live trading
Risk Warning: This indicator is a tool for technical analysis. Always use proper risk management and combine with your trading strategy. Past performance does not guarantee future results.
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Compatible with all markets: Forex, Stocks, Crypto, Futures, and Indices
Version: 1.0 | Language: Pine Script v5
Trend Following Pro [Wukong Algo]Trend Following Pro
This is a trading method in pullback areas following the trendline. The trendband is designed to include Entry band (green band) and Stop Loss band (red band). Stop Loss will trail along the trendline.
Automatically connect TradingView and MetaTrader 5 (MT5) for automatic trading and order management via PineConnector
The system includes a risk management grid including the levels: Stop Loss (SL), Break-even (BE), Trailing Stop, TP1 (1/4), TP2 (2/4), TP3 (3/4), TP4 (4/4). This grid helps you easily monitor and manage orders on TradingView in parallel with automatic order management on MT5.
Suitable for all markets: Forex, Gold, Crypto, Stocks, as long as you use MT5 and TradingView
If you do not need to trade automatically via MT5, the Support and Resistance Pro can also be used as an effective indicator in visual order management on TradingView charts, helps maintain discipline and good trading psychology (less Stress or FOMO)
Trend Following Pro system quick guide:
Step 1: Click two point A & B in the support and resistance zone (supply and demand) to draw a horizontal line
Click to select two points A and B to draw the trendband. Entry will occur if the price touches the green band and StopLoss will be activated if after Entry the price touches the outter red line. You can completely adjust the width of the green and red bands with the input parameters.
Select the direction you want to trade, for example in the picture we are choosing the Buy (Long) order
Step 2: Enter the input parameters for the system including:
Direction of Long (Buy), Short (Sell), Turn Off (No trade) orders
Width of Entry price trigger (green band) , and width of Stoploss (red band)
Order volume, TP1, TP2, TP3, TP4 levels
Maximum number of trades on a trendline
Step 3: Set up automatic trading from TradingView via PineConnector EA and MT5
If you do not need automatic trading in MT5, skip this step. Entry signals and risk management grids will still be displayed on the TradingView chart for you to see, but there is no connection and automatic trading signal shooting and automatic order management from TradingView to MT5 via PineConnector.
We need to create an Alert in TradingView and attach it to this Indicator so that the Alert's trading signals are transmitted via MetaTrader 5 (MT5) via PineConnector.
When trading, you need to turn on 3 software at the same time to be able to connect to each other to operate: TradingView, MetaTrader 5 (MT5), PineConnector
See more details in the screenshots
Step 4 - Complete setup, and wait for trading signals
You have completed the setup steps for the Indicator, ready when there is a trading signal
You do not need to sit in front of the screen all day if you do not want. The system has been set up to execute and manage orders automatically.
Of course, sometimes you should still check your transaction status, in case of unexpected problems such as lost internet connection.
If you still have questions about this Indicator, please email tuanwukongvn@gmail.com for support.
AI Trend Signal + Auto TrendLines [NinjADeviL]📈 AI Trend Signal + Auto TrendLines
The AI Trend Signal + Auto TrendLines indicator combines smart automatic trendline detection with AI-based market structure analysis to deliver precise real-time entry and exit signals.
🧠 Key Features:
🔹 Automatically detects upward and downward trendlines based on dynamic swing analysis.
🔹 Highlights breakout zones with clear visual alerts.
🔹 Built-in AI engine to forecast early trend reversals.
🔹 Integrates Smart Money Concepts (BOS / CHoCH).
🔹 Dynamic background and color-coded visualization for bullish/bearish trends.
🔹 Works across all timeframes and asset classes — stocks, forex, indices, and crypto.
⚙️ Fully Customizable:
Adjust colors, sensitivity, line styles, and alerts to fit your personal trading strategy and chart style.
💡 Perfect For:
Traders looking to identify high-probability breakouts, trend reversals, and key structural points in the market with clarity and accuracy.
Percentage Based ZigZag with trend colouringA modification of the original ZigZag script, where the current price change in percentages are tracked, and the background is being marked based on trend strength. If a reversal is confirmed, the value of 2 or -2 is given, if its fading, meaning it is getting further from the highest high or lowest low by a treshold, 1 or -1 is given.
Colouring based on strength.
Ant_JJun 5분봉 데이 트레이딩 지표[체험판]Ant_JJun — 5분봉 단기 규칙 기반 데이 트레이딩 프레임워크
(Ichimoku 구조 + 거래량 논리 기반)
이 지표는 BTC 5분봉 환경에서의 단기 트레이딩 의사결정을 돕기 위해 설계되었습니다.
목표는 진입 신호의 빈도를 늘리는 것이 아니라, 추세 구간과 비추세 구간을 구별하여 불필요한 노출을 줄이는 것에 있습니다.
많은 보조지표는 가격이 이미 움직인 뒤에만 유효하게 작동합니다.
이 시스템은 반대로, 방향성이 형성되기 전의 횡보 구간에서 자본 손실을 억제하는 것을 우선합니다. 이를 위해 일목 구조(선행스팬 기반)로 환경을 분류하고, 거래량 비대칭과 캔들 성향을 추가 필터로 사용합니다.
핵심 작동 개념
• 선행스팬 기반 구조 판별로 추세/중립 환경을 분리
• 구조 + 거래량 + 캔들조건이 모두 정렬될 때만 방향 라벨 출력
• 정렬되지 않을 경우 진입 강제가 아닌 ‘대기’ 상태 유지
• 리페인트 없음 / 사후 라벨 생성 없음 / 실시간 판정
사용 환경
• 5분봉 단기 매매
• 데이터 발표 등 변동성 이벤트 인접 구간 관찰 목적
• 자동매매가 아닌 규칙 기반 의사결정 필터링용
이 스크립트는 독자적 방식이 포함되어 있어 공개 배포되지 않습니다.
Ant_JJun — 5-Minute Rule-Based Day-Trading Framework
(Ichimoku structure + volume logic)
This indicator is designed to support short-term decision-making on the BTC 5-minute chart.
Its goal is not to increase signal frequency, but to reduce unnecessary exposure by distinguishing trending from non-trending conditions.
Most indicators only function effectively after price has already moved.
This framework prioritizes capital protection during pre-move consolidation.
It classifies market context using Ichimoku leading spans, and adds volume imbalance and candle behavior as additional filters.
Core operating logic
• Leading-span structure to classify trend vs. neutral zones
• Directional labels only when structure + volume + candle conditions align
• When alignment is absent, the system remains in a waiting state rather than forcing entries
• No repainting / no post-hoc labels / real-time evaluation only
Intended environment
• 5-minute intraday trading
• Particularly around volatility events such as economic data releases
• Used as a rule-based decision filter rather than an automation engine
This script is not publicly distributed due to proprietary methodology.
RSI + BB strategyBollinger Bands 20/2.5 + RSI 20-day 25/75
Long = Enter a long position when the price breaks below the Bollinger Band, the candlestick closes, and the RSI is below 25.
Short = Enter a short position when the price breaks above the Bollinger Band, the candlestick closes, and the RSI is above 75.
Take profit = Default setting: Take profit when profit is +4%. For safety, sell half of the position when profit is +2% to break even.
Lower average: -5% loss. If the RSI is 20/80, use the lower average. Sell the remaining amount when the price returns to its original price.
Based on 5-minute and 15-minute charts
Otherwise, signals will be difficult to obtain. For charts longer than 1 hour, adjust RSI and BB appropriately.
GUSI ProGUSI — Adaptive Bitcoin Cycle Risk Model
Most on-chain metrics published on TradingView — such as NUPL, MVRV, or Puell Multiple — were once reliable in past cycles but have lost accuracy. The reason is simple: their trigger levels are static, while Bitcoin’s market structure changes over time. Tops have formed lower each cycle, yet the traditional horizontal thresholds remain unchanged.
What GUSI does differently:
It introduces sloped trigger functions that decrease over time, adapting each metric to Bitcoin’s maturing market.
It applies long-term normalization methods (smoothing and z-score lookups) to reduce distortion from short-term volatility and extreme outliers.
It only includes signals that remain valid across all Bitcoin cycles since 2011, discarding dozens of popular on-chain ideas that fail even after adjustment.
How GUSI is built:
GUSI is not just a mashup of indicators. Each component is a proprietary, modified version of a known on-chain signal:
Logarithmic MACD with declining trigger bands
MVRV-Z Score Regression with cycle-aware slopes
Net Unrealized Profit/Loss Ratio normalized with dynamic z-scores
Puell Multiple with logarithmic decay
Weekly RSI momentum filter for bottoms
Optional Pi Cycle Top logic with sloped moving averages
These are combined into a composite risk scoring system (0–100). Every signal contributes to the score according to user-defined weights, and each can be toggled on/off. The end result is a flexible model that adapts to long-term changes in Bitcoin’s cycles while staying transparent in its logic.
How to use it:
Scores near 97 indicate historically high-risk conditions (cycle tops).
Scores near 2.5 highlight deep accumulation zones (cycle bottoms).
Background colors and labels make the conditions clear, and built-in alerts let you automate your strategy.
GUSI is designed for the INDEX:BTCUSD 1D chart and works best when viewed in that context.
In short: GUSI makes classic on-chain indicators relevant again by adapting them to Bitcoin’s evolving market cycles. Instead of relying on static thresholds that stop working over time, it introduces dynamic slopes, normalization, and a weighted composite framework that traders can adjust themselves.
Advanced Time Technique📌 ATT – Advanced Time Technique | Multi-Timeframe Liquidity Map
Advanced Time Technique (ATT) is a price-action based model that identifies mathematically repeating liquidity levels formed by candle count sequences.
These ATT levels often act as reversal zones, continuation points, and liquidity magnets during intraday and scalp trading.
🧠 Inspiration
This indicator is inspired by the concepts shared by TradeWithWill on YouTube(www.youtube.com), who explores ATT-based behavior
This script is my own implementation and workflow adaptation based on those ideas.
✅ Key Features
✔ Automatic plotting of ATT numbers (3, 11, 17, 29, 41, 47, 53, 59…)
✔ Multi-timeframe support with HTF reference points
✔ Smart Prediction Labels
✔ Candle-based logic — no lagging indicators
✔ Fully customizable colors, styles, and transparency
🧠 What Does ATT Do?
ATT tracks candle cycle counts from a selected higher timeframe, helping traders identify:
✅ Trend continuation opportunities
✅ High-precision entry & exit areas
✅ Liquidity Sweep
Perfect for:
- Intraday + Scalp Trading
- Liquidity / Market Structure Traders
- ICT-style Smart Money Concepts
🕒 Ideal Usage
✅ Scalping
✅ Day Trading
Works best when combined with:
ICT Kill zones, Higher Time Frame Levels, Fair Value Gaps (FVG),Breaker Blocks (BB),Order Blocks (OB)
If you love this indicator ❤️ — leave a comment or follow for upcoming upgrades
Happy Trading! 📈🚀






















