Indicators and strategies
WoAlgo Premium v3.0
WoAlgo Premium v3.0 - Smart Money Analysis
Overview
** WoAlgo Premium v3.0 ** is an advanced technical analysis indicator designed for educational purposes. This tool combines Smart Money Concepts with multi-factor confluence analysis to help traders identify potential market opportunities across multiple timeframes.
The indicator integrates market structure analysis, order flow concepts, and technical momentum indicators into a comprehensive dashboard system. It is designed to assist traders in understanding institutional trading patterns and market dynamics through visual analysis tools.
### What It Does
This indicator provides:
**1. Smart Money Concepts Analysis**
- Market structure identification (Break of Structure and Change of Character patterns)
- Order block detection with volume confirmation
- Fair value gap recognition
- Liquidity zone mapping (equal highs and lows)
- Premium and discount zone calculations
**2. Multi-Factor Confluence Scoring**
The indicator calculates a proprietary confluence score (0-100) based on five key components:
- Price action analysis (30% weight)
- Volume confirmation (20% weight)
- Momentum indicators (25% weight)
- Trend strength measurement (15% weight)
- Money flow analysis (10% weight)
**3. Multi-Timeframe Analysis**
- Scans 5 different timeframes (5M, 15M, 1H, 4H, Daily)
- Calculates alignment percentage across timeframes
- Displays trend and structure status for each period
**4. Visual Dashboard System**
- Comprehensive main dashboard with 13 metrics
- Real-time screener table with 10 data columns
- Multi-timeframe scanner
- Performance tracking panel
### How It Works
**Market Structure Detection**
The indicator identifies key structural changes in price action:
- **BOS (Break of Structure)**: Indicates trend continuation when price breaks previous swing points
- **CHoCH (Change of Character)**: Signals potential trend reversal when market structure shifts
**Order Block Identification**
Order blocks are detected when:
- Significant volume appears at swing points
- Price shows strong directional movement from these levels
- Enhanced detection with extreme volume confirmation (OB++ markers)
**Fair Value Gap Recognition**
Gaps between candles are identified when:
- Price leaves inefficiencies in the market
- Three consecutive candles create a gap pattern
- Gap size exceeds minimum threshold based on ATR
**Confluence Calculation**
The system evaluates multiple technical factors:
1. **Price Position**: Relative to moving averages (EMA 20, 50, 200)
2. **Volume Analysis**: Standard deviation-based volume spikes
3. **Momentum**: RSI, MACD, Stochastic indicators
4. **Trend Strength**: ADX measurements
5. **Money Flow**: MFI indicator readings
Each factor contributes weighted points to create an overall confluence score that helps assess signal strength.
### Signal Types
**Confirmation Signals (▲ / ▼)**
Generated when:
- EMA crossovers occur (20/50 cross)
- Volume confirmation is present
- RSI is in appropriate zone
- Confluence score exceeds 50%
**Strong Signals (▲+ / ▼+)**
Higher-confidence signals requiring:
- Confluence score above 70%
- Extreme volume confirmation
- Alignment with 200 EMA trend
- MACD confirmation
- Bullish or bearish market structure
**Contrarian Signals (⚡)**
Reversal indicators appearing when:
- RSI reaches extreme levels (<30 or >70)
- Stochastic shows oversold/overbought conditions
- Price touches Bollinger Band extremes
- Potential divergence patterns emerge
**Reversal Zones**
Visual boxes highlighting areas where:
- Market structure conflicts with momentum
- High probability of directional change
- Key support/resistance levels interact
**Smart Trail**
Dynamic stop-loss indicator that:
- Adjusts based on ATR (Average True Range)
- Follows trend direction
- Updates automatically as price moves
- Provides risk management reference points
### Dashboard Components
**Main Dashboard (13 Metrics)**
1. **Confluence Score**: Current bull/bear percentage (0-100)
2. **Market Regime**: Trend classification (Strong Up/Down, Range, Squeeze)
3. **Signal Status**: Active buy/sell signal indication
4. **Structure State**: Current market structure (Bullish/Bearish/Neutral)
5. **Trend Strength**: ADX-based measurement
6. **RSI Level**: Momentum indicator with overbought/oversold zones
7. **MACD Direction**: Trend momentum confirmation
8. **Money Flow Index**: Smart money sentiment
9. **Volume Status**: Current volume relative to average
10. **Volatility Rating**: ATR percentage measurement
11. **ATR Value**: Average true range for position sizing
12. **MTF Alignment**: Multi-timeframe agreement percentage
**Screener Table (10 Columns)**
- Current symbol and timeframe
- Real-time price and percentage change
- Quality rating (star system)
- Active signal type
- Smart trail status
- Market structure state
- MACD direction
- Trend strength percentage
- Bollinger Band squeeze detection
**MTF Scanner (5 Timeframes)**
Displays for each timeframe:
- Trend direction indicator
- Market structure classification
- Visual confirmation with color coding
**Performance Metrics**
- Win rate percentage (simplified calculation)
- Total signals generated
- Current confluence score
- MTF alignment status
- Volatility level
### Settings and Customization
**Preset Styles**
Choose from predefined configurations:
- **Conservative**: Fewer, higher-quality signals
- **Moderate**: Balanced approach (recommended)
- **Aggressive**: More frequent signals
- **Scalper**: Short-term focused
- **Swing**: Longer-term oriented
- **Custom**: Full manual control
**Smart Money Concepts Controls**
- Toggle each feature independently
- Adjust swing length (3-50 periods)
- Enable/disable internal structure
- Control order block display
- Manage breaker block visibility
- Show/hide fair value gaps
- Display liquidity zones
- Premium/discount zone visualization
**Signal Configuration**
- Enable/disable confirmation signals
- Toggle strong signal markers
- Control contrarian signal display
- Show/hide reversal zones
- Smart trail activation
- Sensitivity adjustment (5-50)
**Visual Customization**
- Moving average display options
- MA period adjustments (Fast: 20, Slow: 50, Trend: 200)
- Support/resistance line toggle
- Dynamic S/R lookback period
- Candle coloring based on trend
- Color scheme customization
- Dashboard size options (Small/Normal/Large)
- Position placement (4 corners)
### How to Use
**Step 1: Initial Setup**
1. Add indicator to chart
2. Select appropriate preset or use Custom
3. Adjust timeframe to match trading style
4. Configure dashboard visibility preferences
**Step 2: Analysis Workflow**
1. Check MTF Scanner for timeframe alignment
2. Review Main Dashboard confluence score
3. Observe Market Regime classification
4. Identify active signals on chart
5. Confirm with Smart Money Concepts (order blocks, FVG, structure)
**Step 3: Trade Consideration**
Strong signals (▲+ / ▼+) require:
- Confluence score >70%
- MTF alignment >60%
- Confirmation from multiple dashboard metrics
- Support from Smart Money Concepts
- Appropriate volume levels
**Step 4: Risk Management**
- Use Smart Trail as dynamic stop-loss reference
- Consider ATR for position sizing
- Monitor volatility rating
- Respect support/resistance levels
- Combine with personal risk parameters
### Best Practices
**For Scalping (1M-5M timeframes)**
- Use Scalper preset
- Reduce swing length to 5-7
- Focus on strong signals only
- Monitor MTF alignment closely
- Quick entries near order blocks
**For Intraday Trading (15M-1H timeframes)**
- Use Moderate preset (recommended)
- Default swing length (10)
- Combine confirmation and strong signals
- Check MTF scanner before entry
- Use fair value gaps for entries
**For Swing Trading (4H-D timeframes)**
- Use Swing preset
- Increase swing length to 15-20
- Focus on strong signals
- Require high MTF alignment
- Patient approach with major structure levels
### Technical Specifications
**Indicators Used**
- Exponential Moving Averages (20, 50, 200)
- Hull Moving Average
- Relative Strength Index (14)
- MACD (12, 26, 9)
- Money Flow Index (14)
- Stochastic Oscillator (14, 3)
- ADX / DMI (14)
- Bollinger Bands (20, 2)
- ATR (14)
- Volume Analysis (SMA 20 with standard deviation)
**Calculation Methods**
- Swing detection using pivot high/low functions
- Volume confirmation via statistical analysis
- Multi-factor scoring with weighted components
- Dynamic support/resistance using highest/lowest functions
- Real-time MTF data via security() function
### Limitations and Considerations
**Important Notes**
1. This indicator is designed for educational and analytical purposes only
2. Historical performance does not guarantee future results
3. Signals should be confirmed with additional analysis
4. Market conditions vary and affect indicator performance
5. Not all signals will be profitable
6. Risk management is essential for all trading
**Known Limitations**
- Confluence scoring is algorithmic and not predictive
- MTF analysis requires sufficient historical data
- Effectiveness varies across different market conditions
- Sideways markets may produce conflicting signals
- High volatility can affect signal reliability
- Backtesting results shown are simplified calculations
**Not Suitable For**
- Automated trading without human oversight
- Sole basis for trading decisions
- Guaranteed profit expectations
- Inexperienced traders without proper education
- Trading without risk management plans
### Market Applicability
**Effective On**
- Trending markets (any direction)
- Clear structure formation periods
- Liquid instruments with consistent volume
- Multiple asset classes (forex, stocks, crypto, commodities)
- Various timeframes with appropriate settings
**Less Effective During**
- Extended ranging/choppy conditions
- Extremely low volume periods
- Major news events causing gaps
- Early market open with high spread
- Illiquid instruments with erratic price action
### Risk Disclaimer
**⚠️ IMPORTANT NOTICE**
This indicator is provided for **educational and informational purposes only**. It does not constitute financial advice, investment recommendations, or trading signals.
**Key Risk Factors:**
- Trading financial instruments involves substantial risk of loss
- Past performance does not indicate future results
- No indicator can predict market movements with certainty
- Users should conduct independent research and analysis
- Professional financial advice should be sought when appropriate
- Risk management and position sizing are critical to successful trading
- Users are solely responsible for their trading decisions
**Responsible Usage:**
- Combine with comprehensive market analysis
- Use appropriate stop-loss orders
- Never risk more than you can afford to lose
- Maintain realistic expectations
- Continue education on technical analysis principles
- Test thoroughly on demo accounts before live trading
- Understand all indicator features before using
### Educational Resources
**Understanding Smart Money Concepts**
Smart Money Concepts analyze how institutional traders and large market participants operate. Key principles include:
- Institutional order flow patterns
- Market structure changes
- Liquidity manipulation
- Supply and demand imbalances
- Order block formations
**Multi-Timeframe Analysis Theory**
Analyzing multiple timeframes helps:
- Identify overall market direction
- Improve entry timing
- Confirm trend strength
- Recognize consolidation periods
- Reduce conflicting signals
**Confluence Trading Approach**
Using multiple confirming factors:
- Increases signal reliability
- Reduces false signals
- Provides conviction for trades
- Helps with position sizing
- Improves risk-reward ratios
### Version History
**v3.0 (Current)**
- Multi-factor confluence scoring system
- Complete Smart Money Concepts implementation
- Real-time multi-timeframe analysis
- Four professional dashboard panels
- Enhanced order block detection
- Breaker block identification
- Premium/discount zone calculations
- Smart trail stop-loss system
- Customizable preset configurations
- Performance tracking metrics
**Development Philosophy**
This indicator was developed with focus on:
- Educational value for traders
- Transparent methodology
- Comprehensive feature set
- User-friendly interface
- Flexible customization options
### Technical Support
**For Questions About:**
- Indicator functionality
- Parameter optimization
- Signal interpretation
- Dashboard metrics
- Best practice recommendations
Please use TradingView's comment section below. The developer monitors comments and provides assistance to users learning to use the indicator effectively.
### Acknowledgments
This indicator implements concepts from:
- Smart Money Concepts trading methodology
- Multi-timeframe analysis techniques
- Technical indicator theory
- Market structure analysis principles
- Institutional order flow concepts
All implementations are original code and calculations based on established technical analysis principles.
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## ADDITIONAL INFORMATION SECTION
**Category**: Indicators
**Type**: Market Structure / Multi-Timeframe Analysis
**Complexity**: Intermediate to Advanced
**Open Source**: Code visible for transparency and education
**Pine Script Version**: v6
**Chart Overlay**: Yes
**Maximum Objects**: 500 boxes, 500 lines, 500 labels
Smart Money Flow Oscillator [MarkitTick]💡This script introduces a sophisticated method for analyzing market liquidity and institutional order flow. Unlike traditional volume indicators that treat all market activity equally, the Smart Money Flow Oscillator (SMFO) employs a Logic Flow Architecture (LFA) to filter out market noise and "churn," focusing exclusively on high-impact, high-efficiency price movements. By synthesizing price action, volume, and relative efficiency, this tool aims to visualize the accumulation and distribution activities that are often attributed to "smart money" participants.
✨ Originality and Utility
Standard indicators like On-Balance Volume (OBV) or Money Flow Index (MFI) often suffer from noise because they aggregate volume based simply on the close price relative to the previous close, regardless of the quality of the move. This script differentiates itself by introducing an "Efficiency Multiplier" and a "Momentum Threshold." It only registers volume flow when a price move is considered statistically significant and structurally efficient. This creates a cleaner signal that highlights genuine supply and demand imbalances while ignoring indecisive trading ranges. It combines the trend-following nature of cumulative delta with the mean-reverting insights of an In/Out ratio, offering a dual-mode perspective on market dynamics.
🔬 Methodology
The underlying calculation of the SMFO relies on several distinct quantitative layers:
• Efficiency Analysis
The script calculates a "Relative Efficiency" ratio for every candle. This compares the current price displacement (body size) per unit of volume against the historical average.
If price moves significantly with relatively low volume, or proportional volume, it is deemed "efficient."
If significant volume occurs with little price movement (churn/absorption), the efficiency score drops.
This score is clamped between a user-defined minimum and maximum (Efficiency Cap) to prevent outliers from distorting the data.
• Momentum Thresholding
Before adding any data to the flow, the script checks if the current price change exceeds a volatility threshold derived from the previous candle's open-close range. This acts as a gatekeeper, ensuring that only "strong" moves contribute to the oscillator.
• Variable Flow Calculation
If a move passes the threshold, the script calculates the flow value by multiplying the Typical Price and Volume (Money Flow) by the calculated Efficiency Multiplier.
Bullish Flow: Strong upward movement adds to the positive delta.
Bearish Flow: Strong downward movement adds to the negative delta.
Neutral: Bars that fail the momentum threshold contribute zero flow, effectively flattening the line during consolidation.
• Calculation Modes
Cumulative Delta Flow (CDF): Sums the flow values over a rolling period. This creates a trend-following oscillator similar to OBV but smoother and more responsive to real momentum.
In/Out Ratio: Calculates the percentage of bullish inflow relative to the total absolute flow over the period. This oscillates between 0 and 100, useful for identifying overextended conditions.
📖 How to Use
Traders can utilize this oscillator to identify trend strength and potential reversals through the following signals:
• Signal Line Crossovers
The indicator plots the main Flow line (colored gradient) and a Signal line (grey).
Bullish (Green Cloud): When the Flow line crosses above the Signal line, it suggests rising buying pressure and efficient upward movement.
Bearish (Red Cloud): When the Flow line crosses below the Signal line, it suggests dominating selling pressure.
• Divergences
The script automatically detects and plots divergences between price and the oscillator:
Regular Divergence (Solid Lines): Suggests a potential trend reversal (e.g., Price makes a Lower Low while Oscillator makes a Higher Low).
Hidden Divergence (Dashed Lines): Suggests a potential trend continuation (e.g., Price makes a Higher Low while Oscillator makes a Lower Low).
"R" labels denote Regular, and "H" labels denote Hidden divergences.
• Dashboard
A dashboard table is displayed on the chart, providing real-time metrics including the current Efficiency Multiplier, Net Flow value, and the active mode status.
• In/Out Ratio Levels
When using the Ratio mode:
Values above 50 indicate net buying pressure.
Values below 50 indicate net selling pressure.
Approaching 70 or 30 can indicate overbought or oversold conditions involving volume exhaustion.
⚙️ Inputs and Settings
Calculation Mode: Choose between "Cumulative Delta Flow" (Trend focus) or "In/Out Ratio" (Oscillator focus).
Auto-Adjust Period: If enabled, automatically sets the lookback period based on the chart timeframe (e.g., 21 for Daily, 52 for Weekly).
Manual Period: The rolling lookback length for calculations if Auto-Adjust is disabled.
Efficiency Length: The period used to calculate the average body and volume for the efficiency baseline.
Eff. Min/Max Cap: Limits the impact of the efficiency multiplier to prevent extreme skewing during anomaly candles.
Momentum Threshold: A factor determining how much price must move relative to the previous candle to be considered a "strong" move.
Show Dashboard/Divergences: Toggles for visual elements.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator represents a hybrid synthesis of academic Market Microstructure theory and classical technical analysis. It utilizes an advanced algorithm to quantify "Price Impact," leveraging the following theoretical frameworks:
• 1. The Amihud Illiquidity Ratio (2002)
The core logic (calculating body / volume) functions as a dynamic implementation of Yakov Amihud’s Illiquidity Ratio. It measures price displacement per unit of volume. A high efficiency score indicates that "Smart Money" has moved the price significantly with minimal resistance, effectively highlighting liquidity gaps or institutional control.
• 2. Kyle’s Lambda (1985) & Market Depth
Drawing from Albert Kyle’s research on market microstructure, the indicator approximates Kyle's Lambda to measure the elasticity of price in response to order flow. By analyzing the "efficiency" of a move, it identifies asymmetries—specifically where price reacts disproportionately to low volume—signaling potential manipulation or specific Market Maker activity.
• 3. Wyckoff’s Law of Effort vs. Result
From a classical perspective, the algorithm codifies Richard Wyckoff’s "Effort vs. Result" logic. It acts as an oscillator that detects anomalies where "Effort" (Volume) diverges from the "Result" (Price Range), predicting potential reversals.
• 4. Quantitative Advantage: Efficiency-Weighted Volume
Unlike linear indicators such as OBV or Chaikin Money Flow—which treat all volume equally—this indicator (LFA) utilizes Efficiency-Weighted Volume. By applying the efficiency_mult factor, the algorithm filters out market noise and assigns higher weight to volume that drives structural price changes, adopting a modern quantitative approach to flow analysis.
● Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
QQE v3.0 [v6] - AI-Powered Trend Signal📊 QQE Signal v3.0 - AI-Powered Quantitative Trend Detection
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■ What is QQE?
QQE (Quantitative Qualitative Estimation) is an advanced oscillator that evolves the traditional RSI. It significantly reduces false signals by applying ATR-based dynamic bands to smoothed RSI values.
【Mathematical Principle】
1. Calculate RSI (default 14 periods)
2. Smooth RSI with EMA (noise reduction)
3. Apply ATR to RSI for dynamic bands
4. Signal generated on band/RSI crossover
This methodology captures "qualitative" trend changes "quantitatively" - detecting shifts that RSI alone would miss.
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■ HMA Integration
This indicator combines QQE with HMA (Hull Moving Average) for dual confirmation.
【HMA Characteristics】
- Faster response, less lag than traditional MAs
- Formula: WMA(2×WMA(n/2) - WMA(n), √n)
- Ideal for trend direction confirmation
【Dual Confirmation Logic】
- QQE: Detects momentum turning points
- HMA: Confirms price trend direction
- Both aligned = High-confidence signal
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■ AI Score System (60-100)
Signal confidence quantified as 0-100 score, integrating multiple factors.
【Score Components】
1. Signal Base (QQE×HMA alignment bonus)
2. QQE Strength (deviation from RSI midpoint 50)
3. Volatility State (ATR ratio evaluation)
4. Volume Confirmation (anomaly detection vs average)
【Signal Levels】
┌────────────────────────────────────────┐
│ 💰 BIG CHANCE (90+) │
│ → All factors aligned at high level │
│ → Highest confidence │
├────────────────────────────────────────┤
│ ⚡ SUPER (80-89) │
│ → Major factors strongly aligned │
│ → High confidence │
├────────────────────────────────────────┤
│ 🚀 POWER (70-79) │
│ → QQE+HMA simultaneous signal │
│ → Medium-high confidence │
├────────────────────────────────────────┤
│ 💪 STRONG (60-69) │
│ → Basic signal triggered │
│ → Standard confidence │
└────────────────────────────────────────┘
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■ MTF (Multi-Timeframe) Function
Display signals from different timeframes on your current chart.
【Use Cases】
- View 5min signals on 1min chart
- Monitor higher timeframe direction while scalping
- Improve entry timing precision
【Auto-Optimization by Asset】
- USD/JPY, EUR/USD: QQE Factor 4.238
- Gold (XAU/USD): QQE Factor 8.0 (volatility adjusted)
- BTC: QQE Factor 12.0 (high volatility adjusted)
- NASDAQ: QQE Factor 4.238
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■ Trading Strategies
【Strategy 1: Trend Following】
1. Wait for 80+ score signal
2. Confirm HMA direction
3. Set stop-loss at recent high/low
4. Target 1:2+ risk-reward ratio
【Strategy 2: Range Breakout】
1. Multiple 60-70 signals occurring
2. Price approaching range boundary
3. 90+ signal confirms breakout
4. Enter in breakout direction
【Strategy 3: MTF Confirmation】
1. Identify trend on higher TF (4H/Daily)
2. Find entry on lower TF (5-15min)
3. Both timeframes aligned = highest confidence
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■ Recommended Settings
【Scalping (1-5min)】
- RSI Period: 14
- Smoothing: 5
- Min Score: 70
- MTF: 5min recommended
【Day Trading (15-60min)】
- RSI Period: 14
- Smoothing: 5
- Min Score: 60
- MTF: Same as chart
【Swing (4H-Daily)】
- RSI Period: 14
- Smoothing: 5
- Min Score: 60
- MTF: OFF (use chart timeframe)
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■ Pro Version Available
For advanced features, check "QQE×HMA Showtime v3.5" (invite-only):
- P/L Counter (real-time profit/loss tracking)
- BIG WIN visual effects
- Detailed statistics panel
- Enhanced algorithm accuracy
See my profile for details.
⚠️ DISCLAIMER
This indicator is for educational and analytical purposes. Past performance does not guarantee future results. Always use proper risk management.
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【日本語】
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■ QQEとは？（Quantitative Qualitative Estimation）
QQEは、RSI（相対力指数）を進化させた高度なオシレーターです。従来のRSIの弱点である「ダマシ」を大幅に軽減し、より信頼性の高いシグナルを生成します。
【数学的原理】
1. RSIを計算（デフォルト14期間）
2. RSIをEMAでスムージング（ノイズ除去）
3. ATR（真のレンジ）をRSIに適用し、動的バンドを生成
4. バンドとスムージングRSIのクロスでシグナル発生
この手法により、RSI単体では検出できない「質的な」トレンド変化を「量的に」捉えることが可能になります。
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■ HMA（Hull Moving Average）との統合
本インジケーターはQQEにHMAを組み合わせ、ダブル確認システムを構築しています。
【HMAの特徴】
- 従来のMAより反応が速く、ラグが少ない
- 計算式：WMA(2×WMA(n/2) - WMA(n), √n)
- トレンド方向の確認に最適
【ダブル確認の意義】
- QQE：モメンタムの転換点を検出
- HMA：価格トレンドの方向を確認
- 両者が一致 → 高確度シグナル
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■ AIスコアシステム（60-100点）
シグナルの信頼度を0-100点で数値化。複数の要素を統合評価します。
【スコア算出要素】
1. シグナル基盤（QQE×HMA一致で加点）
2. QQE強度（RSI中央値50からの乖離度）
3. ボラティリティ状態（ATR比率による評価）
4. 出来高確認（平均比での異常検出）
【シグナルレベル】
┌────────────────────────────────────────┐
│ 💰 BIG CHANCE（90点以上） │
│ → 全要素が高水準で一致 │
│ → 最高確度、大きなポジション検討可 │
├────────────────────────────────────────┤
│ ⚡ SUPER（80-89点） │
│ → 主要要素が強く一致 │
│ → 高確度、標準ポジション推奨 │
├────────────────────────────────────────┤
│ 🚀 POWER（70-79点） │
│ → QQE+HMA同時シグナル │
│ → 中高確度、慎重なエントリー │
├────────────────────────────────────────┤
│ 💪 STRONG（60-69点） │
│ → 基本シグナル発生 │
│ → 標準確度、小ポジションから │
└────────────────────────────────────────┘
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■ MTF（マルチタイムフレーム）機能
異なる時間足のシグナルを現在のチャートに表示。
【活用例】
- 1分足チャートで5分足シグナルを確認
- スキャルピング中に上位足の方向を把握
- エントリータイミングの精度向上
【銘柄別自動最適化】
- USD/JPY、EUR/USD：QQE係数 4.238
- Gold（XAU/USD）：QQE係数 8.0（ボラ対応）
- BTC：QQE係数 12.0（高ボラ対応）
- NASDAQ：QQE係数 4.238
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■ 実践的トレード戦略
【戦略1：トレンドフォロー】
1. 80点以上のシグナルを待つ
2. HMAの方向を確認
3. 直近高値/安値をストップロスに設定
4. 1:2以上のリスクリワードを確保
【戦略2：レンジブレイク】
1. 60-70点シグナルが連続で発生
2. 価格がレンジ上限/下限に接近
3. 90点シグナルでブレイクを確認
4. ブレイク方向にエントリー
【戦略3：MTF確認】
1. 上位足（4H/日足）でトレンド方向確認
2. 下位足（5-15分）でエントリータイミング
3. 両時間足のシグナルが一致で高確度
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■ 推奨設定
【スキャルピング（1-5分足）】
- RSI期間：14
- スムージング：5
- 最低スコア：70
- MTF：5分固定推奨
【デイトレード（15-60分足）】
- RSI期間：14
- スムージング：5
- 最低スコア：60
- MTF：チャート足と同じ
【スイング（4H-日足）】
- RSI期間：14
- スムージング：5
- 最低スコア：60
- MTF：OFF（チャート足使用）
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■ 上位版のご案内
より高度な機能をお求めの方には「QQE×HMA Showtime v3.5」（招待専用）をご用意しています。
【追加機能】
- 損益カウンター（リアルタイム集計）
- BIG WIN演出（大勝利時の視覚効果）
- 詳細統計パネル
- 高精度アルゴリズム
詳細はプロフィールをご覧ください。
⚠️ 免責事項
本インジケーターは教育・分析目的です。過去の実績は将来の結果を保証しません。適切なリスク管理を行ってください。
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Developed by EduVest | 30 Years STEM Education × Professional FX Trading
For custom indicator development, visit my profile.
GCM Heikin Ashi RSI Trend CloudTitle: GCM Heikin Ashi RSI Trend Cloud
Description:
Overview
The GCM Heikin Ashi RSI Trend Cloud is a comprehensive momentum oscillator designed to filter out market noise and visualize trend strength. Unlike a standard RSI which can be jagged and difficult to interpret during consolidation, this indicator transforms RSI data into Heikin Ashi candles, providing a smoother, clearer view of market momentum.
This tool combines the lag-reducing benefits of RSI with the trend-visualizing power of Heikin Ashi, layered with Multi-Timeframe (HTF) clouds to identify macro trends.
Calculations & How it Works
This indicator does not use standard price action for its candles. Instead, it performs the following calculations:
• HARSI Candles: We calculate the RSI of the Open, High, Low, and Close of the chart. These four RSI values are then processed through the standard Heikin Ashi formula. This means the candles represent momentum movement, not price movement.
• Smoothing: A smoothing algorithm is applied to the "Open" of the HARSI candles (Default: 5). This reduces fake-outs by biasing the candle open toward the previous average, highlighting the true trend direction.
• Trend Bias Mode: A unique visual feature that adjusts the thickness of the RSI line based on your trading style.
o Buyers Mode: The line thickens when RSI is rising, thinning out when falling.
o Sellers Mode: The line thickens when RSI is falling, thinning out when rising.
• Ribbon Clouds: The script pulls RSI data from Higher Timeframes (HTF) and creates a cloud between the current chart's RSI and the HTF RSI. If the current RSI is above the HTF RSI, the cloud is bullish (Green), otherwise bearish (Red).
Key Features
• Derived Heikin Ashi RSI: Smooths out the noise of standard RSI to show clear red/green trends.
• Dynamic Trend Bias: Customize the main RSI line to emphasize Bullish or Bearish momentum using line weight.
• Auto-HTF Clouds: Automatically detects higher timeframes (e.g., 1m chart -> 3m cloud) to show support/resistance momentum from the macro trend.
• OB/OS Zones: Clearly defined Overbought and Oversold channels with "Extreme" outlier zones.
How to Use
1. Trend Continuation: Look for the HARSI candles to change color. A switch from Red to Green, while the Ribbon Cloud is also Green, indicates a strong bullish continuation.
2. Divergence: Because the candles are based on RSI, you can look for divergences between the HARSI candle peaks and the actual price action on the main chart.
3. The Cloud: Use the cloud as dynamic support. In a strong uptrend, the RSI line often bounces off the HTF Cloud without breaking through it.
Settings
• HARSI Length (Default 10): The lookback period for the RSI calculation.
• Smoothing (Default 5): Higher values create smoother candles but add lag. Lower values are more reactive.
Trend Bias Mode: Choose "Neutral" for a standard line, or "Buyers/Sellers" to visually emphasize your preferred market direction.
RSI Fibonacci Flow [JOAT]RSI Fibonacci Flow - Advanced Fibonacci Retracement with RSI Confluence
Introduction
RSI Fibonacci Flow is an open-source overlay indicator that combines automatic Fibonacci retracement levels with RSI momentum analysis to identify high-probability trading zones. The indicator automatically detects swing highs and lows, draws Fibonacci levels, and generates confluence signals when RSI conditions align with key Fibonacci zones.
This indicator is designed for traders who use Fibonacci retracements but want additional confirmation from momentum analysis before entering trades.
Originality and Purpose
This indicator is NOT a simple mashup of RSI and Fibonacci tools. It is an original implementation that creates a synergistic relationship between two complementary analysis methods:
Why Combine RSI with Fibonacci? Fibonacci retracements identify WHERE price might reverse, but they don't tell you WHEN. RSI provides the timing component by showing momentum exhaustion. When price reaches the Golden Zone (50%-61.8%) AND RSI shows oversold conditions, the probability of a successful bounce increases significantly.
Original Confluence Scoring System: The indicator calculates a 0-5 confluence score that weights multiple factors: Golden Zone presence (+2), entry zone presence (+1), RSI extreme alignment (+1), RSI divergence (+1), and strong RSI momentum (+1). This scoring system is original to this indicator.
Automatic Pivot Detection: Unlike manual Fibonacci tools, this indicator automatically detects swing highs and lows using a configurable pivot algorithm, then draws Fibonacci levels accordingly. The pivot detection uses a center-bar comparison method that checks if a bar's high/low is the highest/lowest within the specified depth on both sides.
Dynamic Trend Awareness: The indicator determines trend direction based on pivot sequence (last pivot was high or low) and adjusts Fibonacci orientation accordingly. In uptrends, 0% is at swing low; in downtrends, 0% is at swing high.
Each component serves a specific purpose:
Fibonacci levels identify potential reversal zones based on natural price ratios
RSI provides momentum context to filter out low-probability setups
Confluence scoring quantifies setup quality for position sizing decisions
Automatic pivot detection removes subjectivity from level placement
Core Concept: RSI-Fibonacci Confluence
The most powerful trading setups occur when multiple factors align. RSI Fibonacci Flow identifies these moments by:
Automatically detecting price pivots and drawing Fibonacci levels
Tracking which Fibonacci zone the current price occupies
Monitoring RSI for overbought/oversold conditions
Generating signals when RSI extremes coincide with key Fibonacci levels
Scoring confluence strength on a 0-5 scale
When price reaches the Golden Zone (50%-61.8%) while RSI shows oversold conditions in an uptrend, the probability of a bounce increases significantly.
Fibonacci Levels Explained
The indicator draws nine Fibonacci levels based on the most recent swing:
0% (Swing Low/High): The starting point of the move
23.6%: Shallow retracement - often seen in strong trends
38.2%: First significant support/resistance level
50%: Psychological midpoint of the move
61.8% (Golden Ratio): The most important Fibonacci level
78.6%: Deep retracement - last defense before trend failure
100% (Swing High/Low): The end point of the move
127.2% (TP1): First extension target for take profit
161.8% (TP2): Second extension target for take profit
The Golden Zone
The area between 50% and 61.8% is highlighted as the "Golden Zone" because:
It represents the optimal retracement depth for trend continuation
Institutional traders often place orders in this zone
It offers favorable risk-to-reward ratios
Price frequently bounces from this area in healthy trends
When price enters the Golden Zone, the indicator highlights it with a semi-transparent box and optional background coloring.
Pivot Detection System
The indicator uses a configurable pivot detection algorithm:
pivotDetect(float src, int len, bool isHigh) =>
int halfLen = len / 2
float centerVal = nz(src , src)
bool isPivot = true
for i = 0 to len - 1
if isHigh
if nz(src , src) > centerVal
isPivot := false
break
else
if nz(src , src) < centerVal
isPivot := false
break
isPivot ? centerVal : float(na)
This identifies swing highs and lows by checking if a bar's high/low is the highest/lowest within the specified depth on both sides.
Visual Components
1. Fibonacci Lines
Horizontal lines at each Fibonacci level:
Solid lines for major levels (0%, 50%, 61.8%, 100%)
Dashed lines for secondary levels (23.6%, 38.2%, 78.6%)
Dotted lines for extension levels (127.2%, 161.8%)
Color-coded for easy identification
Configurable line width
2. Fibonacci Labels
Price labels at each level showing:
Fibonacci percentage
Actual price at that level
Golden Zone label highlighted
TP1 and TP2 labels for targets
3. Golden Zone Box
A semi-transparent box highlighting the 50%-61.8% zone:
Gold colored border and fill
Extends from swing start to current bar (or beyond if extended)
Provides clear visual of the optimal entry zone
4. ZigZag Lines
Connecting lines between detected pivots:
Cyan for moves from low to high
Orange for moves from high to low
Helps visualize market structure
Configurable line width
5. Pivot Markers
Small labels at detected swing points:
"HH" (Higher High) at swing highs
"LL" (Lower Low) at swing lows
Helps track market structure
6. Entry Signals
BUY and SELL labels when confluence conditions are met:
BUY: RSI oversold + price in entry zone + uptrend + positive momentum
SELL: RSI overbought + price in entry zone + downtrend + negative momentum
Labels include "RSI+FIB" to indicate confluence
Confluence Scoring System
The indicator calculates a confluence score from 0 to 5:
+2 points: Price is in the Golden Zone (50%-61.8%)
+1 point: Price is in the entry zone (38.2%-61.8%)
+1 point: RSI is oversold in uptrend OR overbought in downtrend
+1 point: RSI divergence detected (bullish or bearish)
+1 point: Strong RSI momentum (change > 2 points)
Confluence ratings:
STRONG (4-5): Multiple factors align - high probability setup
MODERATE (2-3): Some factors align - proceed with caution
WEAK (0-1): Few factors align - wait for better setup
Dashboard Panel
The 10-row dashboard provides comprehensive analysis:
RSI Value: Current RSI reading (large text)
RSI State: OVERBOUGHT, OVERSOLD, BULLISH, BEARISH, or NEUTRAL
Fib Trend: UPTREND or DOWNTREND based on last pivot sequence
Price Zone: Current Fibonacci zone (e.g., "GOLDEN ZONE", "38.2% - 50%")
Price: Current close price (large text)
Confluence: Score rating with numeric value (e.g., "STRONG (4/5)")
Nearest Fib: Closest key Fibonacci level with price
TP1 (127.2%): First take profit target price
TP2 (161.8%): Second take profit target price
Input Parameters
Pivot Detection:
Pivot Depth: Bars to look back for swing detection (default: 10)
Min Deviation %: Minimum price move to confirm pivot (default: 1.0)
RSI Settings:
RSI Length: Period for RSI calculation (default: 14)
Source: Price source (default: close)
Overbought: Upper threshold (default: 70)
Oversold: Lower threshold (default: 30)
Fibonacci Display:
Show Fib Lines: Toggle Fibonacci lines (default: enabled)
Show Fib Labels: Toggle price labels (default: enabled)
Show Golden Zone Box: Toggle zone highlight (default: enabled)
Line Width: Thickness of Fibonacci lines (default: 2)
Extend Fib Lines: Extend lines into future (default: enabled)
ZigZag:
Show ZigZag: Toggle connecting lines (default: enabled)
ZigZag Width: Line thickness (default: 2)
Signals:
Show Entry Signals: Toggle BUY/SELL labels (default: enabled)
Show TP Levels: Toggle take profit in dashboard (default: enabled)
Show RSI-Fib Confluence: Toggle confluence analysis (default: enabled)
Dashboard:
Show Dashboard: Toggle information panel (default: enabled)
Position: Choose corner placement
Colors:
Bullish: Color for bullish elements (default: cyan)
Bearish: Color for bearish elements (default: orange)
Neutral: Color for neutral elements (default: gray)
Golden Zone: Color for Golden Zone highlight (default: gold)
How to Use RSI Fibonacci Flow
Identifying Entry Zones:
Wait for price to retrace to the 38.2%-61.8% zone
Check if RSI is approaching oversold (for longs) or overbought (for shorts)
Look for STRONG confluence rating in the dashboard
Enter when BUY or SELL signal appears
Setting Take Profit Targets:
TP1 at 127.2% extension for conservative target
TP2 at 161.8% extension for aggressive target
Consider scaling out at each level
Using the Price Zone:
"BELOW 23.6%" - Price hasn't retraced much; wait for deeper pullback
"23.6% - 38.2%" - Shallow retracement; strong trend continuation possible
"38.2% - 50%" - Good entry zone for trend trades
"GOLDEN ZONE" - Optimal entry zone; highest probability
"61.8% - 78.6%" - Deep retracement; trend may be weakening
"78.6% - 100%" - Very deep; trend reversal possible
"ABOVE/BELOW 100%" - Trend has likely reversed
Confluence Trading Strategy:
Only take trades with confluence score of 3 or higher
STRONG confluence (4-5) warrants larger position size
MODERATE confluence (2-3) warrants smaller position size
WEAK confluence (0-1) - wait for better setup
Alert Conditions
Ten alert conditions are available:
RSI-Fib BUY Signal: Strong bullish confluence detected
RSI-Fib SELL Signal: Strong bearish confluence detected
Price in Golden Zone: Price enters 50%-61.8% zone
New Pivot High: Swing high detected
New Pivot Low: Swing low detected
RSI Overbought: RSI crosses above overbought threshold
RSI Oversold: RSI crosses below oversold threshold
Bullish Divergence: Potential bullish RSI divergence
Bearish Divergence: Potential bearish RSI divergence
Strong Confluence: Confluence score reaches 4 or higher
Understanding Trend Direction
The indicator determines trend based on pivot sequence:
UPTREND: Last pivot was a low after a high (expecting move up)
DOWNTREND: Last pivot was a high after a low (expecting move down)
Fibonacci levels are drawn accordingly:
In uptrend: 0% at swing low, 100% at swing high
In downtrend: 0% at swing high, 100% at swing low
Bar Coloring
When confluence features are enabled:
Cyan bars on strong bullish signals
Orange bars on strong bearish signals
Gold-tinted bars when price is in Golden Zone
Best Practices
Use on 1H timeframe or higher for more reliable pivots
Adjust Pivot Depth based on timeframe (higher for longer timeframes)
Wait for price to enter Golden Zone before considering entries
Confirm RSI is in favorable territory before trading
Use extension levels (127.2%, 161.8%) for realistic profit targets
Combine with support/resistance and candlestick patterns
Higher confluence scores indicate higher probability setups
Limitations
Pivot detection has inherent lag (must wait for confirmation)
Fibonacci levels are subjective - different swings produce different levels
Works best in trending markets with clear swings
RSI can remain overbought/oversold in strong trends
Not all Golden Zone entries will be successful
The source code is open and available for review and modification.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. Fibonacci levels are not guaranteed support/resistance - they are probability zones based on historical price behavior. Always conduct your own analysis and use proper risk management.
- Made with passion by officialjackofalltrades :D
Ultimate Gold & FX K-NN Master V95A sophisticated market analysis tool powered by K-NN.
Users have full control over MACD, STC, and SMC configurations. With integrated Elliott Wave analysis, this tool offers high-level functionality for professional trading.
[CT] D&W PPO + RBF + DivergenceThis indicator combines two separate ideas into one tool so you can read trend context from your price chart while timing momentum shifts from a clean oscillator panel. The first component is the Daily and Weekly Percentage Price Oscillator (D&W PPO), which measures the relationship between two EMA spreads that are intentionally built to reflect two “speeds” of market structure. The “weekly” leg is calculated as the percentage distance between a slower and faster EMA pair (L1 and L2), and the “daily” leg is calculated as the percentage distance between a shorter EMA pair (L3 and L4), but both are normalized by the same long EMA (e2) so the values behave like a percent-based oscillator rather than raw points. The script then combines those two legs by creating R = W + D, and it plots the histogram as R − W, which simplifies to D. That is not a mistake, it is the point of the design. By setting the baseline at “R equals W,” the zero line becomes a very intuitive threshold that tells you whether the shorter-term push is adding to the longer-term bias or subtracting from it. When the histogram is above zero, the daily component is supportive of the larger trend pressure, and when it is below zero, the daily component is opposing it. The histogram color is intentionally binary and stable, green when the histogram is at or above zero and red when it is below, so the panel reads like a momentum confirmation tool rather than a noisy oscillator that constantly shifts shades.
The second component is the RBF Price Trail, which is drawn on the upper price chart even though the indicator itself lives in a lower panel. This line is not a moving average in the traditional sense. It is a Radial Basis Function kernel smoother that weights recent prices based on their similarity rather than only their recency. In plain terms, the kernel attempts to build a smoother “baseline” that adapts to the shape of price action, and then the script optionally wraps that baseline inside an ATR band and applies a Supertrend-like trailing clamp. When the ATR band is enabled, the line will not simply track the kernel value, it will trail price and hold its position until price forces it to ratchet. This behavior is what makes it useful as a structure-aligned trend line rather than just another smoothing curve. When the adaptive band boost is enabled, the band width is multiplied by a factor that grows when recent price change is large relative to a lookback normalization window. That means the trailing mechanism can adapt to fast markets by changing the effective band behavior, which helps reduce whipsaws in choppy conditions while still allowing the line to respond when volatility expands. The line color is determined by where price closes relative to the trail, bullish when price is above the trail and bearish when price is below it, and you can optionally color your actual chart candles from either the PPO state or the RBF state depending on what you want your eyes to follow.
The settings are organized so you can control each module without changing how the core PPO trend logic behaves. The PPO settings L1, L2, L3, and L4 define the EMA lengths used to compute the weekly leg W and the daily leg D. Increasing these values makes the oscillator slower and smoother, while decreasing them makes it react faster to recent movement. “Show W line” is simply a visual aid, it plots the W line in the oscillator panel so you can see the longer-term component, but it does not change the histogram logic. “Histogram thickness” is purely visual and controls how thick the column bars are. The PPO colors are the two base colors used for the histogram state, green when the daily component is supportive and red when it is opposing.
The RBF settings control what you see on the upper chart. “Show RBF on Price Chart” turns the trail line on or off. “Source” chooses which price series feeds the kernel, and close is usually the cleanest choice. “Kernel Length” determines how many bars the kernel uses; a larger value makes the baseline smoother and slower, and a smaller value makes it more reactive. “Gamma Adj” controls how quickly the kernel’s weights decay as price becomes dissimilar, so higher gamma tends to make the kernel react more sharply to changes while lower gamma produces a broader smoothing effect. “Use ATR Trail Band” is the switch that turns the kernel baseline into a trailing band line, and it is the reason the line can “hold” and then ratchet instead of moving continuously like a normal moving average. “ATR Length” and “ATR Factor” control the width of that band, and widening the band will generally reduce flips and noise at the cost of later signals. “Use Adaptive Band Boost” turns on the volatility normalization idea, “Boost Normalization Lookback” defines how far back the script looks to determine what counts as a large price change, and “Boost Multiplier” controls how strongly the band behavior is adjusted during those periods. The line width and bull/bear colors are visual controls only.
Price bar coloring is intentionally handled with a single selector so you do not end up with two modules fighting to color candles differently. If you choose “Off,” nothing on the main chart is recolored. If you choose “PPO,” your price candles reflect whether the PPO histogram is above or below zero. If you choose “RBF,” your price candles reflect whether price is above or below the RBF trail. Most traders will pick one and stick with it so the chart communicates a single bias at a glance.
The divergence module is optional and is designed to be a confirmation layer rather than a primary trigger. When enabled, it can mark regular divergence and hidden divergence, and it lets you decide what the pivots should be based on. The divergence source can be the PPO histogram or the R line, depending on whether you want divergence measured on the cleaner momentum component or on the combined series. “Key off pivots” determines whether pivot detection is driven by oscillator pivots or by price pivots. If you choose oscillator pivots, divergence anchors are found where the oscillator makes pivot highs or lows and those are compared against price at the same points. If you choose price pivots, the pivots are taken from price first and the oscillator value at those pivot bars is used for the comparison, which can feel more intuitive when you want divergence to respect obvious swing structure on the chart. Pivot Left and Pivot Right control how strict the swing definition is, larger values create fewer but more meaningful pivots and smaller values create more frequent signals. “Mark on Price Chart” adds tiny markers on the candles at the pivot location so you can see where the divergence event was confirmed, while the oscillator panel uses lines and labels to make the divergence relationship obvious.
For trading, the cleanest way to use this tool is to separate “bias” from “timing.” The RBF Price Trail is your bias filter because it is structure-like and tends to hold and ratchet rather than constantly drifting. When price is closing above the trail and the trail is colored bullish, you treat the market as long-biased and you focus on long setups, pullbacks, and continuation entries. When price is closing below the trail and the trail is bearish, you treat the market as short-biased and you focus on short setups, rallies, and continuation shorts. The PPO histogram is then your timing and pressure confirmation. In an up-bias, the highest quality continuation conditions are when the histogram is above zero and stays above zero through pullbacks, because that means the shorter-term pressure is still supporting the longer-term drift. When the histogram dips below zero during an up-bias, it is a warning that the daily component is now opposing, which often corresponds to a deeper pullback, a rotation, or a period of consolidation, so you either wait for the histogram to recover above zero or you tighten expectations and manage risk more aggressively. In a down-bias, the mirror logic applies: the best continuation conditions are when the histogram is below zero, and pushes above zero tend to represent countertrend rotations or pauses inside the bearish condition.
Divergence is best used as an early warning and a location filter, not as a standalone entry button. Regular bullish divergence, where price makes a lower low but the oscillator makes a higher low, can signal bearish pressure is weakening and is most useful when it appears while price is below the RBF trail but failing to continue downward, because it often precedes a reclaim of the trail or at least a meaningful rotation. Regular bearish divergence, where price makes a higher high but the oscillator makes a lower high, can signal bullish pressure is weakening and is most useful when it appears while price is above the trail but extension is failing, because it often precedes a drop back to the trail or a full flip. Hidden divergence is a continuation concept. Hidden bullish divergence, where price makes a higher low while the oscillator makes a lower low, often shows up during pullbacks in an uptrend and can help you confirm continuation as long as the RBF bias remains bullish. Hidden bearish divergence, where price makes a lower high while the oscillator makes a higher high, often shows up during rallies in a downtrend and can help you confirm continuation as long as the RBF bias remains bearish. In practice, you’ll get the best results when you only act on divergence that aligns with the RBF bias for hidden divergence continuation, and you treat regular divergence as a caution or reversal setup only when it occurs near a meaningful swing and is followed by a bias change or a strong momentum shift on the PPO.
The most practical workflow is to keep the RBF trail visible on the price chart as your regime guide, keep the PPO histogram as your momentum confirmation, and decide in advance whether you want candle coloring to represent the PPO state or the RBF state so your eyes are not reading two different meanings at once. if you want the cleanest “trend-following” behavior, color candles by the RBF trail and use the PPO histogram as the timing trigger. If you want the cleanest “momentum-first” behavior, color candles by PPO and treat the RBF trail as the higher-level filter for whether you should press a move or fade it.
Liquidation Bubbles [OmegaTools]🔴🟢 Liquidation Bubbles — Advanced Volume & Price Stress Detector
Liquidation Bubbles is a professional-grade analytical tool designed to identify forced positioning events, stop-runs, and liquidation clusters by combining price displacement and volume imbalance into a single, statistically normalized framework.
This indicator is not a repainting signal tool and not a simple volume spike detector. It is a contextual market stress mapper, built to highlight areas where one-sided positioning becomes unstable and the probability of forced order execution (liquidations, stops, margin calls) materially increases.
---
## 🔬 Core Concept
Market liquidations do not occur randomly.
They emerge when price deviates aggressively from its volume-weighted equilibrium while volume itself becomes abnormal.
Liquidation Bubbles detects exactly this condition by:
* Estimating a **dynamic equilibrium price** using an *inverted volume-weighted moving average*
* Measuring **directional price stress** relative to that equilibrium
* Measuring **volume stress** relative to its own adaptive baseline
* Normalizing both into **Z-score–like metrics**
* Highlighting only **statistically extreme, asymmetric events**
The result is a clear visual map of stress points where market participants are most vulnerable.
---
⚙️ Methodology (How It Works)
1️⃣ Advanced Inverted VWMA (Equilibrium Engine)
The script uses a custom Advanced VWMA, where:
* High volume bars receive less weight
* Low volume bars receive more weight
This produces a **robust equilibrium level**, resistant to manipulation and volume bursts.
This equilibrium is used for **both price and volume normalization**, creating a consistent statistical framework.
---
2️⃣ Price Stress (Directional)
Price stress is calculated as:
* The **maximum deviation** between high/low and equilibrium
* Directionally signed (upside vs downside)
* Normalized by its own historical volatility
This allows the script to distinguish:
* Aggressive upside exhaustion
* Aggressive downside capitulation
---
3️⃣ Volume Stress
Volume stress is measured as:
* Deviation from volume equilibrium
* Normalized by historical volume dispersion
This filters out:
* Normal high-volume sessions
* Illiquid noise
And isolates abnormal participation imbalance.
---
4️⃣ Liquidation Logic
A liquidation event is flagged when:
* Both price stress and volume stress exceed adaptive thresholds
* The imbalance is directional and statistically extreme
Optional Combined Score Mode allows aggregation of price & volume stress into a single composite metric for smoother signals.
---
🔵 Bubble System (Signal Hierarchy)
The indicator plots **two tiers of bubbles**:
🟢🔴 Small Bubbles
* Early warning stress points
* Localized stop-runs
* Micro-liquidations
* Often precede reactions or short-term reversals
🟢🔴 Big Bubbles
* Full liquidation clusters
* Forced unwinds
* High probability exhaustion zones
* Frequently align with:
* Intraday extremes
* Range boundaries
* Reversal pivots
* Volatility expansions
Bubble color:
* **Green** → Downside liquidation (sell-side exhaustion)
* **Red** → Upside liquidation (buy-side exhaustion)
Bubble placement is **ATR-adjusted**, ensuring visual clarity without overlapping price.
---
🔄 Cross-Market Volume Analysis
The script allows optional **external volume sourcing**, enabling:
* Futures volume applied to CFDs
* Index volume applied to ETFs
* Spot volume applied to derivatives
This is critical when:
* Your traded instrument has unreliable volume
* You want **institutional-grade confirmation**
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🧠 How to Use Liquidation Bubbles
This indicator is **not meant to be traded alone**.
Best use cases:
* 🔹 Confluence with support & resistance
* 🔹 Contextual confirmation for reversals
* 🔹 Identifying fake breakouts
* 🔹 Liquidity sweep detection
* 🔹 Risk management (avoid entering into liquidation zones)
Ideal for:
* Futures
* Indices
* Crypto
* High-liquidity FX pairs
* Intraday & swing trading
---
🎯 Who This Tool Is For
Liquidation Bubbles is designed for:
* Advanced discretionary traders
* Order-flow & liquidity-based traders
* Macro & index traders
* Professionals seeking **context**, not signals
If you want **where the market is fragile**, not just where price moved — this tool was built for you.
---
📌 Key Characteristics
✔ Non-repainting
✔ Statistically normalized
✔ Adaptive to volatility
✔ Works on all timeframes
✔ Futures & crypto ready
✔ No lagging indicators
✔ No moving average crosses
---
Liquidation Bubbles does not predict the future.
It shows you where the market is most likely to break.
— OmegaTools
IFA YouTube-v6 SMA Analysis EditionIFA 🎯 SMA Analysis Edition
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📌 OVERVIEW
A powerful SMA-focused indicator designed for YouTube/TikTok live streaming and visual chart analysis. Combines classic Triple SMA with Smart Money Concepts (Order Blocks, BOS, CHoCH) in a high-visibility neon color scheme.
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🎯 KEY FEATURES
- Triple SMA (20/50/200) with customizable neon colors
- Automatic Golden Cross / Death Cross detection with labels
- Smart Money Concepts: Order Blocks, BOS, CHoCH structure
- High contrast colors optimized for video streaming
- All visual elements can be toggled ON/OFF
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📊 SIGNALS EXPLAINED
- 🔼 Golden Cross (20×50): Short-term bullish momentum
- 🔽 Death Cross (20×50): Short-term bearish momentum
- ⭐ Golden Cross (50×200): Major trend reversal to bullish
- 💀 Death Cross (50×200): Major trend reversal to bearish
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⚙️ SETTINGS
- SMA Display: Toggle each SMA line (20/50/200) ON/OFF
- Colors: Customize line colors (default: Cyan/Orange/Magenta)
- Line Width: Adjustable thickness for visibility
- Cross Labels: Show/hide Golden Cross & Death Cross labels
- Order Blocks: Transparency and color settings
- Structure Labels: BOS/CHoCH display options
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📈 RECOMMENDED MARKETS
- Indices: NAS100, S&P500, Nikkei225
- Forex: Major pairs (EUR/USD, USD/JPY, GBP/USD)
- Crypto: BTC, ETH on higher timeframes
- Stocks: High-liquidity large caps
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⏱️ RECOMMENDED TIMEFRAMES
- Scalping: 1m, 5m, 15m (use 20×50 crosses)
- Day Trading: 15m, 1H, 4H
- Swing Trading: 4H, Daily (use 50×200 crosses)
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💡 HOW TO USE
1. Add indicator to your chart
2. Wait for SMA cross signals (labels appear automatically)
3. Confirm with Order Block zones (support/resistance)
4. Check BOS/CHoCH for structure confirmation
5. Enter on pullback to SMA or Order Block
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👤 BEST FOR
- YouTube/TikTok live streamers who need clear visuals
- Visual learners who prefer color-coded signals
- Traders using SMA crossover strategies
- Beginners learning Smart Money Concepts
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🔧 CREDITS
Based on LuxAlgo Smart Money Concepts (CC BY-NC-SA 4.0)
Customized with SMA overlay and YouTube-optimized visuals
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👨🏫 ABOUT THE AUTHOR
30 years of mathematics teaching experience applied to trading logic.
Specializing in making complex concepts visually understandable.
YouTube: @Eduvest_CFDFX
TikTok: 39,000+ followers
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⚠️ DISCLAIMER
This indicator is for educational and informational purposes only.
It does NOT constitute financial advice.
Past performance does not guarantee future results.
Always conduct your own research and use proper risk management.
Trade at your own risk.
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🇯🇵 日本語説明
【概要】
YouTubeライブ配信向けに設計されたSMA分析インジケーター。
トリプルSMA（20/50/200）とSmart Money Concepts（Order Blocks、BOS、CHoCH）を
ネオンカラーで視認性高く表示します。
【主な機能】
- トリプルSMA（20/50/200）カスタマイズ可能
- ゴールデンクロス/デッドクロス自動検出＆ラベル表示
- Order Blocks（機関投資家の売買ゾーン）
- BOS/CHoCH構造分析
【シグナル】
- 🔼 ゴールデンクロス（20×50）：短期上昇シグナル
- 🔽 デッドクロス（20×50）：短期下落シグナル
- ⭐ ゴールデンクロス（50×200）：大きなトレンド転換（上昇）
- 💀 デッドクロス（50×200）：大きなトレンド転換（下落）
【推奨市場】
NAS100、S&P500、主要通貨ペア、BTC/ETH
【推奨時間足】
スキャルピング：1分〜15分
デイトレード：15分〜4時間
スイング：4時間〜日足
【クレジット】
LuxAlgo Smart Money Conceptsをベースにカスタマイズ
【免責事項】
本インジケーターは教育・情報提供目的です。
投資助言ではありません。投資は自己責任で行ってください。
YouTube: @Eduvest_CFDFX
Volume Cluster Profile [VCP] (Zeiierman)█ Overview
Volume Cluster Profile (Zeiierman) is a volume profile tool that builds cluster-enhanced volume-by-price maps for both the current market window and prior swing segments.
Instead of treating the profile as a raw histogram only, VCP detects the dominant volume peaks (clusters) inside the profile, then uses a Gaussian spread model to “radiate” those peaks into surrounding price bins. This produces a smoother, more context-aware profile that highlights where volume is most meaningfully concentrated, not just where it happened to print.
On top of the live profile, VCP automatically records historical swing profiles between pivots, wraps each segment for clarity, and can project the most recent segment’s High/Low Value extensions (VA/LV) forward to the current bar to keep key structure visible as price evolves.
█ How It Works
⚪ 1) Profile Construction (Volume-by-Price)
VCP builds a volume profile histogram over a chosen window (current lookback, or a swing segment):
Range Scan
The script finds the full min → max price range inside the window.
Bin the Range
That range is divided into a user-defined number of Price Bins (rows). More bins = finer detail, but heavier computation.
Accumulate Volume into Bins
For each bar inside the window, the script takes the bar’s close price, determines which price bin it belongs to, and adds the bar’s volume to that bin.
float step = (maxPrice - minPrice) / binsCount
for i = 0 to barsToUse - 1
int b = f_clamp(int(math.floor((close - minPrice) / step)), 0, binsCount - 1)
volBins += volume
Result: volBins becomes a standard volume-by-price histogram (close-based binning).
⚪ 2) Cluster Detection (Finding Dominant Peaks)
Once the raw histogram is built, VCP identifies cluster centers as the most meaningful volume “hills”:
Local Peak Test
A bin becomes a cluster candidate if its volume is greater than or equal to its immediate neighbors (left/right).
Filter Weak Peaks
Peaks must also be above a basic activity threshold (relative to the average bin volume) to avoid noise.
bool isPeak = v >= left and v >= right
if isPeak and v > avgVol
array.push(clusterIdxs, b)
Keep the Best Peaks Only
If too many peaks exist, the script keeps only the strongest ones, capped by: Max Cluster Centers
Result: clusterIdxs = the set of dominant profile peaks (cluster centers).
⚪ 3) Cluster Enhancement (Gaussian Spread Model)
This is what makes VCP different from a raw profile.
Instead of using volBins directly, the script builds an enhanced profile where each cluster center influences nearby price bins using a Gaussian curve:
Distance from each bin to each cluster center is computed in “bin units”
A Gaussian weight is applied so that bins near the center receive stronger influence, while bins farther away decay smoothly.
Cluster Spread (sigma) controls how wide this influence reaches: low sigma produces tight, sharp clusters, while high sigma results in wider, smoother structure zones.
enhanced += centerV * math.exp(-(dist*dist) / (2.0 * clusterSigma * clusterSigma))
volBinsAI := enhanced / szClFinal
Result: volBinsAI = the cluster-enhanced volume value for each bin.
In practice, VCP turns the profile into a structure map of dominant volume concentrations, rather than a simple “where volume printed” histogram.
⚪ 4) POC from the Enhanced Profile
After enhancement:
The bin with the highest volBinsAI becomes the POC (Point of Control)
POC is plotted at the midpoint price of that bin
if volBinsAI > maxVol
maxVol := volBinsAI , pocBin := b
So the POC reflects the cluster-enhanced profile rather than the raw histogram.
█ How to Use
⚪ Read Cluster Structure (Default = 2 Clusters)
By default, the Volume Cluster Profile (VCP) is configured to detect up to 2 dominant volume clusters within the profile. These clusters represent price zones where the market accepted trading activity, not just where volume printed randomly.
⚪ When TWO Clusters Appear
When VCP detects two distinct clusters, it usually indicates:
Two competing areas of value
Ongoing auction between higher and lower acceptance zones
Treat each cluster as an acceptance zone
Expect slower price action and rotation inside clusters
Expect faster movement in the low-volume space between clusters
Use cluster-to-cluster movement as:
rotation targets
range boundaries
acceptance vs rejection tests
Typical behavior:
Price enters a cluster → stalls, consolidates, rotates
Price rejects at cluster edge → moves toward the opposite cluster
⚪ When ONLY ONE Cluster Appears
If VCP detects only one cluster, or if two clusters visually merge into one:
Volume is no longer split
The market has formed a single dominant value area
Price consensus is strong
Treat the cluster as the primary value anchor
Expect pullbacks and reactions around this zone
Bias becomes directional:
Above the cluster → bullish context
Below the cluster → bearish context
Inside the cluster → balance/chop
This structure often appears during clean trends or stable equilibria.
⚪ VA/LV Extensions
VCP projects two zones from the end of the most recent swing segment:
VA extension = the segment’s highest enhanced-volume bin (dominant zone)
LV extension = the segment’s lowest enhanced-volume bin (thin/weak zone)
A breakout of the VA extension signals acceptance and potential continuation. A retest of the VA or LV extension is used to confirm acceptance or rejection, while rejection from either zone often leads to rotation back toward value.
█ Settings
Cluster Volume Profile
Lookback Bars – how many recent bars build the current profile
Price Bins – profile resolution (more bins = more detail, heavier CPU)
Cluster Spread – Gaussian sigma; higher values widen/smooth cluster influence
Max Cluster Centers – cap on detected peaks used in enhancement
Historical Swing Cluster Volume Profile
Pivot Length – swing sensitivity (larger = fewer, broader segments)
Max Profiles – how many historical segments to retain
Profile Width – thickness of each historical profile
High & Low Value Area
Profile VA/LV – extend the last segment’s top-bin and low-bin zones forward
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
[codapro] PressureBox Breakout Engine
PressureBox Breakout Engine
Donchian Compression + ATR Threshold + Volume Pressure Blend
Just dropped a powerful new tool built using the CodaPro Pine Script modular system — designed to visually identify compression zones and trigger breakout alerts using a blend of price action, volatility, and volume pressure.
Optimized Settings Used in This Post (5-min Chart)
These settings are tuned specifically for /MNQ and /MYM and worked beautifully during the major breakout at 09:25 EST today:
Donchian Length: 8
ATR Length: 13
ATR Multiplier: 3.1
ATR SMA Threshold Length: 21
Max Extend Bars: 55
Base Red Transparency: 82
Border Transparency: 35
MFI Length: 25
CMF Length: 55
Blend Weight: 0.5 (MFI/CMF equally weighted)
How It Works:
Compression Detection: When the Donchian channel width falls below a dynamic ATR-based threshold, a red compression box appears.
Volume Pressure Shading: The red box shade intensifies based on a custom volume pressure calculation, blending MFI + CMF.
Breakout Flags: Once price breaks out of the compression zone — and pressure conditions align — it paints BUY or SELL flags using ATR offsets.
Midline Plot: A midline is drawn inside the box to help assess which side the breakout is favoring.
Key Features:
Supports real-time box building
Visually adaptive to volume shifts
Includes optional Overlap % Plot and Pressure Signal Plot
Customizable Donchian source (wicks or closes)
Use Cases:
Ideal for traders looking to identify pre-breakout compression
Works great on micro futures like /MNQ, /MYM, /MCL, /MGC
Can also be applied to equities, crypto, and FX with minor tuning
Disclaimer:
This tool was created using the CodaPro Pine Script indicator design engine — an architecture system for building visual signal overlays and automated alerts.
It is provided for educational and informational purposes only and is not financial advice. Always test thoroughly before using in live market conditions.
Dynamic Supports + Volume Profile (Smart Time Selector)This indicator is an "All-in-One" tool designed to simplify Market Structure and Volume analysis on higher timeframes (especially Daily charts).
Its main innovation is the **Unique Period Selector**, which automatically adjusts 5 internal parameters (tolerance, pivot sensitivity, resolution, and historical depth) with a single click.
**🛠️ MAIN FEATURES:**
1. **Automatic Engine (1-5 Years):**
* Forget about manually setting pivot lengths or "Lookback".
* Select **"1 Year"**: The script scans for fast pivots and recent volume for *Swing Trading*.
* Select **"5 Years"**: The script filters noise and shows only "Rock-Solid" structures (Historical S/R) for *Long Term Investing*.
2. **"Merged" Support & Resistance (S/R):**
* The script detects Pivot Highs/Lows.
* **Fusion Logic:** If price bounces multiple times in the same zone (within calculated tolerance), the script updates the existing line instead of drawing a new one. It extends the line and counts the touches (e.g., "S (4)" means a Support validated 4 times).
* **Clean Chart:** Avoids visual noise.
3. **Lateral Volume Profile (VP):**
* Displays volume distribution to the right of the current price.
* **Orange POC (Point of Control):** Marks the exact price level with the highest trading volume in the selected period.
**🚀 HOW TO USE (STRATEGY):**
Best used on the **Daily Timeframe (1D)**:
* **Scenario 1: Mean Reversion**
* If price moves far from the **Orange POC**, look for it to act as a magnet.
* Enter when price touches a **Green Line (Support)** that aligns with a high volume node.
* **Scenario 2: Breakout**
* If price breaks a **Red Line (Resistance)** aggressively and the volume above is thin (low volume nodes), the move tends to be fast due to lack of friction.
* **Scenario 3: Multi-Timeframe Analysis**
* Use "5 Years" to mark your long-term zones.
* Switch to "1 Year" for tactical entries.
**🎨 VISUAL SETTINGS:**
* **Green Lines:** Demand Zones (Supports).
* **Red Lines:** Supply Zones (Resistances).
* **Dotted Orange Line:** POC (Fair Value).
* **Blue Bars:** Volume Profile.
**Disclaimer / Descargo:**
This script is designed for educational and analytical purposes on the daily timeframe. Use it to identify zones of interest, not as automatic buy/sell signals.
NDOSD Visual Pro - Complementary Gradient System [v6]NDOSD Visual Pro - Complementary Color Gradient System
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🎯 OVERVIEW
A visually stunning trend visualization tool designed for live streaming, chart analysis, and educational content. This indicator prioritizes aesthetic clarity over complex signals, making it ideal for traders who explain their analysis to others.
The core concept uses DEMA (Double Exponential Moving Average) combined with standard deviation bands, wrapped in a beautiful complementary color gradient system that adapts to different trading instruments.
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🎨 COLOR PRESETS (8 Patterns)
Pre-configured color schemes optimized for specific instruments:
▸ CH1 (USD/JPY): Cyan ↔ Orange
▸ CH2 (Gold/XAU): Gold ↔ Indigo
▸ CH3 (EUR/USD, GBP/JPY, ETH): Green ↔ Pink
▸ CH4 (NASDAQ, BTC): Magenta ↔ Lime
▸ Custom: Define your own colors
Each preset offers "Auto" mode (trend-following colors) and "Signal" mode (contrasting alert colors).
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📊 VISUAL COMPONENTS
▸ Gradient Fill
Vertical gradient effect between baseline and bands. Color intensity fades from center (strong trend) to edges (weak trend).
▸ Dynamic Candle Coloring
Both Heikin-Ashi and standard candles are colored based on trend state - instantly see bullish (color_up) or bearish (color_dn) conditions.
▸ Standard Deviation Bands
Upper and lower bands calculated from DEMA standard deviation, providing dynamic support/resistance visualization.
▸ Baseline
Central DEMA-based moving average that serves as the trend anchor.
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⚙️ CORE LOGIC
The indicator uses a normalized oscillator approach:
1. Calculate DEMA (Double EMA) for smoother price representation
2. Create standard deviation bands around the DEMA baseline
3. Normalize the value to 0-100 range
4. Trend determination:
• Bullish: Normalized value > 55 AND price above lower band
• Bearish: Normalized value < 45
• Neutral: Between thresholds
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✨ WHY "VISUAL PRO"?
This indicator is designed with one principle: **Beautiful charts communicate better.**
For content creators, educators, and analysts who share their screens, cluttered or ugly indicators distract from the message. NDOSD Visual Pro provides institutional-grade aesthetics while maintaining analytical functionality.
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⚠️ DISCLAIMER
This indicator is designed for visualization and educational purposes. It enhances chart readability but should not be used as a standalone trading system. Always combine with your own analysis and risk management.
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【日本語解説】
🎨 NDOSD Visual Pro - 補色グラデーションシステム
■ コンセプト
「美しいチャートは、より良く伝わる」
ライブ配信、チャート解説、教育コンテンツ向けに設計された、視覚的美しさを最優先したトレンド可視化ツールです。複雑なシグナルよりも、見やすさ・伝わりやすさを重視しています。
■ カラープリセット（8パターン）
銘柄ごとに最適化された補色ベースの配色：
- CH1（ドル円）：シアン ↔ オレンジ
- CH2（ゴールド）：ゴールド ↔ インディゴ
- CH3（ユーロドル・ポンド円・ETH）：グリーン ↔ ピンク
- CH4（ナスダック・BTC）：マゼンタ ↔ ライム
- カスタム：自由に設定可能
■ 視覚コンポーネント
- グラデーション塗りつぶし：ベースラインからバンドへ向かって色が薄くなる効果
- ダイナミックローソク足カラー：トレンド状態に応じて自動着色
- 標準偏差バンド：動的なサポート/レジスタンスの視覚化
- ベースライン：DEMAベースの中央線
■ ロジック
DEMAを基準とした正規化オシレーター方式：
1. DEMA（ダブルEMA）で滑らかな価格表現
2. 標準偏差でバンドを生成
3. 0-100に正規化
4. 55以上で上昇、45以下で下降と判定
■ 活用シーン
- YouTube/TikTokでのチャート解説
- ライブ配信でのリアルタイム分析
- 教育コンテンツ制作
- スクリーンショット用の美しいチャート作成
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Developed by EduVest | 30 Years of STEM Education Experience
For customization inquiries, please see my profile.
Apex Adaptive Trend Navigator [Pineify]Apex Adaptive Trend Navigator
The Apex Adaptive Trend Navigator is a comprehensive trend-following indicator that combines adaptive moving average technology, dynamic volatility bands, and market structure analysis into a single, cohesive trading tool. Designed for traders who want to identify trend direction with precision while filtering out market noise, this indicator adapts its sensitivity based on real-time market efficiency calculations.
Key Features
Adaptive Moving Average with efficiency-based smoothing factor
Dynamic ATR-based volatility bands that expand and contract with market conditions
Market Structure detection including BOS (Break of Structure) and CHoCH (Change of Character)
Real-time performance dashboard displaying trend status and efficiency metrics
Color-coded cloud visualization for intuitive trend identification
How It Works
The core of this indicator is built on an Adaptive Moving Average that uses a unique efficiency-based calculation method inspired by the Kaufman Adaptive Moving Average (KAMA) and TRAMA concepts. The efficiency ratio measures the directional movement of price relative to total price movement over the lookback period:
Efficiency = |Price Change over N periods| / Sum of |Individual Bar Changes|
This ratio ranges from 0 to 1, where values closer to 1 indicate a strong trending market with minimal noise, and values closer to 0 indicate choppy, sideways conditions. The smoothing factor is then squared to penalize noisy markets more aggressively, causing the adaptive line to flatten during consolidation and respond quickly during strong trends.
The Dynamic Volatility Bands are calculated using the Average True Range (ATR) multiplied by a user-defined factor. These bands create a channel around the adaptive moving average, helping traders visualize the current volatility regime and potential support/resistance zones.
Trading Ideas and Insights
When price stays above the adaptive line with the bullish cloud forming, consider this a confirmation of uptrend strength
The efficiency percentage in the dashboard indicates trend quality - higher values suggest more reliable trends
Watch for price interactions with the upper and lower bands as potential reversal or continuation zones
A flat adaptive line indicates consolidation - wait for a clear directional break before entering trades
How Multiple Indicators Work Together
This indicator integrates three complementary analytical approaches:
The Adaptive Moving Average serves as the trend backbone, providing a dynamic centerline that automatically adjusts to market conditions. Unlike fixed-period moving averages, it reduces lag during trends while minimizing whipsaws during ranging markets.
The ATR Volatility Bands work in conjunction with the adaptive MA to create a volatility envelope. When the adaptive line is trending and price remains within the cloud (between the MA and outer band), this confirms trend strength. Price breaking through the opposite band may signal exhaustion or reversal.
The Market Structure Analysis using swing point detection adds a Smart Money Concepts (SMC) layer. BOS signals indicate trend continuation when price breaks previous swing highs in uptrends or swing lows in downtrends. CHoCH signals warn of potential reversals when the structure shifts against the prevailing trend.
Unique Aspects
The squared efficiency factor creates a non-linear response that dramatically reduces noise sensitivity
Cloud fills only appear on the trend side, providing clear visual distinction between bullish and bearish regimes
The integrated dashboard eliminates the need to switch between multiple indicators for trend assessment
Pivot-based swing detection ensures accurate market structure identification
How to Use
Add the indicator to your chart and adjust the Lookback Period based on your trading timeframe (shorter for scalping, longer for swing trading)
Monitor the cloud color - green clouds indicate bullish conditions, red clouds indicate bearish conditions
Use the efficiency reading in the dashboard to gauge trend reliability before entering positions
Consider entries when price pulls back to the adaptive line during strong trends (high efficiency)
Use the volatility bands as dynamic take-profit or stop-loss reference levels
Customization
Lookback Period : Controls the sensitivity of trend detection and swing point identification (default: 20)
Volatility Multiplier : Adjusts the width of the ATR bands (default: 2.0)
Show Market Structure : Toggle visibility of BOS and CHoCH labels
Show Performance Dashboard : Toggle the trend status table
Color Settings : Customize bullish, bearish, and neutral colors to match your chart theme
Conclusion
The Apex Adaptive Trend Navigator offers traders a sophisticated yet intuitive approach to trend analysis. By combining adaptive smoothing technology with volatility measurement and market structure concepts, it provides multiple layers of confirmation for trading decisions. Whether you are a day trader seeking quick trend identification or a swing trader looking for reliable trend-following signals, this indicator adapts to your market conditions and trading style. The efficiency-based calculations ensure you always know not just the trend direction, but also the quality and reliability of that trend.
The Strat - Multi-Timeframe Combo Analyzer## 📊 The Strat - Multi-Timeframe Combo Analyzer
This open-source indicator implements **The Strat** methodology, a universal price action framework developed by Rob Smith (@RobInTheBlack).
---
### 🎯 What is The Strat?
The Strat categorizes every candle into one of three scenarios based on its relationship to the previous bar:
| Type | Name | Definition |
|------|------|------------|
| **1** | Inside Bar | High < Previous High AND Low > Previous Low |
| **2** | Directional | Breaks only one side (2↑ = broke high, 2↓ = broke low) |
| **3** | Outside Bar | Breaks BOTH previous high AND low |
By tracking these bar types across timeframes, traders can identify actionable setups with defined entry triggers and target levels.
---
### ✨ Features
**Daily Timeframe Analysis:**
- Real-time 3-bar combo detection (2-1-2, 3-1-2, 1-2-2, etc.)
- Pattern classification: Bullish/Bearish Continuation or Reversal
- Entry and Target levels based on Strat rules
- Pattern status: ACTIONABLE, IN-FORCE, TRIGGERED, or WATCHING
**ATR Context:**
- Range % used (how much of daily ATR has been consumed)
- Entry quality assessment (Excellent → Exhausted)
- Day type classification (Quiet → Trend Day)
- Remaining range estimation
**15-Minute Analysis:**
- Separate combo tracking for intraday precision
- Pattern detection on lower timeframe
**Visuals:**
- Customizable info tables
- Entry/Target horizontal lines
- Signal labels on chart
- Alert conditions
---
### 🔧 How to Use
1. Look for **ACTIONABLE** patterns - these are setups waiting for a trigger
2. Entry triggers when price breaks the designated level
3. Target is the next logical Strat level (typically prior bar's high/low)
4. Use **Range%** to assess if there's room left in the daily range
5. Combine Daily and 15-Min combos for trade confluence
---
### ⚠️ Disclaimer
This indicator is for **educational purposes only**. It does not constitute financial advice or guarantee profitable trades. Trading involves substantial risk of loss. Past performance is not indicative of future results. Always conduct your own research and trade responsibly.
---
### 🙏 Credits
**The Strat** methodology was created by Rob Smith (@RobInTheBlack).
This implementation is open-source. Feel free to study, modify, and improve the code!
IFM 2.0only for pips college
IFM (Inner Force Model) is a price-action based trading model that focuses on who controls the market internally—buyers or sellers—before the big move happens.
It’s not an indicator.
It’s a market behavior framework used to read institutional intent.
🔍 What IFM Really Means
IFM studies the internal strength (force) inside price by analyzing:
Liquidity grabs
Market structure shifts
Displacement (strong candles)
Premium / Discount positioning
The goal is simple:
👉 Enter where smart money has already committed
Smart Money Structure█████████████████████████████████████████████████████████████████████████████
█ SMART MONEY STRUCTURE | SMS Pro
█ Institutional Order Flow & Liquidity Zones
█ by @scalping-algo
█████████████████████████████████████████████████████████████████████████████
📋 OVERVIEW
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This indicator automatically detects and plots Smart Money Concepts (SMC)
including Break of Structure (BOS), Demand & Supply Zones, and Flip Zones.
Perfect for traders who follow institutional order flow and price action.
🎯 INDICATOR COMPONENTS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚡ BOS (Break of Structure)
┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄
• Bullish BOS: Price breaks above previous swing high → Trend shift UP
• Bearish BOS: Price breaks below previous swing low → Trend shift DOWN
✦ How to use:
→ Wait for BOS confirmation before entering trades
→ Bullish BOS = Look for long entries
→ Bearish BOS = Look for short entries
→ Combine with zones for high-probability setups
🟦 DEMAND ZONE (Teal Box)
┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄
• Last bearish candle before a bullish BOS
• Institutional buying area / Unfilled orders
✦ How to use:
→ Wait for price to retrace into the zone
→ Look for bullish rejection / confirmation candle
→ Enter LONG with stop below the zone
→ Target: Previous high or next supply zone
🟪 SUPPLY ZONE (Purple Box)
┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄
• Last bullish candle before a bearish BOS
• Institutional selling area / Unfilled orders
✦ How to use:
→ Wait for price to retrace into the zone
→ Look for bearish rejection / confirmation candle
→ Enter SHORT with stop above the zone
→ Target: Previous low or next demand zone
🔵 FLIP+ / MIT+ (Cyan Box)
┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄
• FLIP+: Old supply zone that flipped to demand (breaker block)
• MIT+: Mitigation zone - area where price may return to rebalance
✦ How to use:
→ Stronger than regular demand zones
→ Price often reacts sharply at flip zones
→ Great for continuation trades after BOS
→ Enter LONG when price taps the zone
🔴 FLIP- / MIT- (Pink Box)
┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄
• FLIP-: Old demand zone that flipped to supply (breaker block)
• MIT-: Mitigation zone - area where price may return to rebalance
✦ How to use:
→ Stronger than regular supply zones
→ Price often reacts sharply at flip zones
→ Great for continuation trades after BOS
→ Enter SHORT when price taps the zone
📐 STRUCTURE LINES (Gray Dashed)
┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄┄
• Connects swing highs and lows
• Shows market structure and trend direction
✦ How to use:
→ Upward sloping = Bullish structure
→ Downward sloping = Bearish structure
→ Trade in the direction of structure
📊 TRADING STRATEGY
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
LONG SETUP:
┌─────────────────────────────────────────┐
│ 1. Wait for Bullish ⚡ BOS │
│ 2. Mark the DEMAND or FLIP+ zone │
│ 3. Wait for price to retrace to zone │
│ 4. Enter on bullish confirmation │
│ 5. Stop loss: Below the zone │
│ 6. Take profit: Next SUPPLY zone │
└─────────────────────────────────────────┘
SHORT SETUP:
┌─────────────────────────────────────────┐
│ 1. Wait for Bearish ⚡ BOS │
│ 2. Mark the SUPPLY or FLIP- zone │
│ 3. Wait for price to retrace to zone │
│ 4. Enter on bearish confirmation │
│ 5. Stop loss: Above the zone │
│ 6. Take profit: Next DEMAND zone │
└─────────────────────────────────────────┘
⚙️ SETTINGS GUIDE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
• Structure Length (default: 9)
└─ Higher = Less signals, stronger zones
└─ Lower = More signals, more noise
└─ Recommended: 7-14 depending on timeframe
• Confirmation Factor (default: 0.33)
└─ Filters out weak structure breaks
└─ Higher = More confirmation needed
└─ Lower = Earlier signals
• Auto-Remove Broken Zones
└─ ON: Removes zones when price breaks through
└─ OFF: Keeps all zones visible
💡 PRO TIPS
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✓ Use higher timeframes (4H, Daily) for stronger zones
✓ Combine with volume analysis for confirmation
✓ FLIP zones are generally stronger than regular zones
✓ Fresh (untested) zones have higher probability
✓ Multiple timeframe analysis = Higher accuracy
✓ Don't trade against the BOS direction
⚠️ RISK DISCLAIMER
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Trading involves substantial risk. Past performance is not indicative of
future results. This indicator is a tool to assist your analysis, not a
guarantee of profits. Always use proper risk management.
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📧 Questions? Leave a comment below!
⭐ If you find this useful, please give it a BOOST!
🔔 Follow @scalping-algo for more indicators
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Volume Profile + POC v2.0 [v6]Volume Profile + POC v2.0 - Professional Market Structure Analysis
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🎯 OVERVIEW
A professional-grade Volume Profile indicator that visualizes WHERE the market has traded, not just WHEN. By displaying volume distribution across price levels, you can identify the "center of gravity" where institutional players have positioned themselves.
This indicator is essential for:
- Finding high-probability support/resistance levels
- Understanding market structure and auction theory
- Identifying breakout vs. mean-reversion setups
- Spotting institutional accumulation/distribution zones
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📚 WHAT IS VOLUME PROFILE?
Traditional volume indicators show volume over TIME (vertical bars below the chart). Volume Profile shows volume over PRICE (horizontal bars on the side).
Think of it this way:
- Time-based volume: "How much was traded today?"
- Price-based volume: "At which prices did traders agree to transact?"
This shift in perspective reveals WHERE the market considers "fair value" and WHERE price is likely to find support or resistance.
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📊 KEY COMPONENTS
▸ POC (Point of Control)
The single price level with the HIGHEST traded volume within the lookback period.
Why it matters:
- POC acts as a "magnet" - price tends to revisit this level
- Represents the "fair value" agreed upon by buyers and sellers
- Strong POC = strong support/resistance
- When price deviates far from POC, mean-reversion probability increases
Trading application:
- Long when price pulls back to POC from above
- Short when price rallies to POC from below
- Use POC as a target for counter-trend trades
▸ Value Area (VA)
The price range containing 70% (configurable) of total volume.
- VAH (Value Area High): Upper boundary - acts as resistance
- VAL (Value Area Low): Lower boundary - acts as support
Trading application:
- Price inside VA: Range-bound, mean-reversion strategies work
- Price outside VA: Trending, breakout strategies work
- VA expansion: Increasing participation, strong trend
- VA contraction: Decreasing participation, consolidation
▸ HVN (High Volume Nodes)
Price levels with significantly higher volume than surrounding areas.
Characteristics:
- Act as strong support/resistance
- Price tends to "stick" at these levels
- Represent areas of high agreement between buyers and sellers
- Displayed in GOLD color for easy identification
▸ LVN (Low Volume Nodes)
Price levels with significantly lower volume than surrounding areas.
Characteristics:
- Price moves QUICKLY through these zones
- Act as "air pockets" - little resistance to price movement
- Often found between two HVNs
- Displayed in GRAY color
Trading application:
- When price enters LVN, expect fast movement to next HVN
- LVN breakouts can be explosive
- Use for target placement (price will likely accelerate)
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🎨 VISUAL FEATURES
▸ Bull/Bear Volume Separation
Green bars: Volume from bullish candles (close > open)
Red bars: Volume from bearish candles (close < open)
This helps identify:
- Accumulation zones (predominantly green at lows)
- Distribution zones (predominantly red at highs)
- Absorption (high volume with little price movement)
▸ Clean Professional Display
- Bold POC line with clear label
- Dashed VAH/VAL lines
- Semi-transparent profile bars (non-intrusive)
- Information table showing current settings
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⚙️ SETTINGS GUIDE
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| Lookback | 100 | 20-500 | Bars to analyze |
| Price Divisions | 24 | 10-50 | Granularity of profile |
| Profile Width | 10 | 5-30 | Visual width of bars |
| Value Area % | 70 | 50-95 | Standard is 70% |
Recommended settings by timeframe:
- Scalping (1-5min): Lookback 50-100, Divisions 30-50
- Day Trading (15-60min): Lookback 100-200, Divisions 20-30
- Swing Trading (4H-Daily): Lookback 200-500, Divisions 15-24
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📈 PRACTICAL TRADING STRATEGIES
Strategy 1: POC Bounce
1. Wait for price to approach POC
2. Look for rejection candle (pin bar, engulfing)
3. Enter in direction of rejection
4. Stop loss beyond POC
5. Target: Opposite side of Value Area
Strategy 2: Value Area Breakout
1. Price breaks above VAH or below VAL
2. Wait for retest of broken level
3. Enter on successful retest (level holds)
4. Stop loss inside Value Area
5. Target: 1x or 2x Value Area width
Strategy 3: LVN Fast Move
1. Identify LVN between two HVNs
2. When price enters LVN, expect acceleration
3. Trade in direction of momentum
4. Target: Next HVN
5. Tight stop (LVN moves are fast)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔔 ALERTS
- POC Touch: Price reaches the Point of Control
- Value Area Break: Price exits the Value Area
Use alerts to catch high-probability setups without watching the chart constantly.
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【日本語解説】
■ Volume Profile（出来高プロファイル）とは
従来の出来高は「いつ」取引されたかを示します。Volume Profileは「どの価格で」取引されたかを示します。
これにより、市場参加者が「適正価格」と考えている水準が可視化されます。
■ 主要コンポーネント
【POC（Point of Control）】
最も出来高が多い価格帯。市場の「重心」です。
- 価格はPOCに引き寄せられる傾向がある
- POCからの乖離が大きいほど、回帰の可能性が高まる
- 強いサポート/レジスタンスとして機能
【Value Area（バリューエリア）】
出来高の70%が集中する価格帯。
- VAH（上限）：レジスタンスとして機能
- VAL（下限）：サポートとして機能
- VA内：レンジ相場 → 逆張り有効
- VA外：トレンド相場 → 順張り有効
【HVN（高出来高ノード）】
出来高が特に多い価格帯（金色で表示）
- 強いサポート/レジスタンス
- 価格が「粘る」傾向
【LVN（低出来高ノード）】
出来高が少ない価格帯（灰色で表示）
- 価格が急速に通過する
- ブレイクアウト時の加速ゾーン
■ 実践的トレード戦略
戦略1：POCバウンス
価格がPOCに接近 → 反転サイン確認 → 反転方向にエントリー
戦略2：バリューエリアブレイク
VAH/VAL突破 → リテスト待ち → ブレイク方向にエントリー
戦略3：LVN高速移動
価格がLVNに入る → 次のHVNまで高速移動を狙う
■ 推奨設定（時間足別）
- スキャルピング（1-5分）：Lookback 50-100
- デイトレード（15-60分）：Lookback 100-200
- スイング（4H-日足）：Lookback 200-500
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⚠️ DISCLAIMER
This indicator is designed for educational and analytical purposes. Volume Profile shows historical data and does not predict future price movements. Always use proper risk management and combine with your own analysis.
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Developed by EduVest | 30 Years of STEM Education × Professional FX Trading
For custom indicator development, visit my profile.
RSHL Traffic Light - MTF Trend Analyzer v2.0 [v6]RSHL 3-Color Traffic Light 🚦 v2.0 - Multi-Timeframe Market Environment Analyzer
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🎯 OVERVIEW
This indicator provides instant visual recognition of market direction across multiple timeframes using a "traffic light" system. Designed for live streaming and real-time analysis, it helps traders quickly assess whether the market is in a BULL 🚀, BEAR 📉, or RANGE ↔ condition.
Based on the RSHL (Resistance/Support High/Low) methodology, this tool analyzes pivot highs and lows to determine trend direction, then displays the results in an eye-catching neon color scheme optimized for dark chart themes.
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📊 KEY FEATURES
▸ Multi-Timeframe Analysis (MTF)
Simultaneously displays market state for 5 timeframes: 4H, 1H, 15m, 5m, and your current chart timeframe. All information is presented in a single, compact table at the top of your chart.
▸ 3-State Classification
🚀 BULL (Cyan): Price broke above resistance - uptrend confirmed
📉 BEAR (Magenta): Price broke below support - downtrend confirmed
↔ RANGE (Yellow): Price contained within ATR-based threshold
▸ Time-Adaptive Range Detection
The range detection automatically adjusts sensitivity based on trading session:
• Tokyo Session 🌸: Lower sensitivity (quieter markets)
• London Session 🇬🇧: Standard sensitivity
• NY Session 🗽: Higher sensitivity (volatile markets)
▸ Overall Market Status
A large label at the bottom displays the aggregate market condition based on all timeframes, giving you an instant "at-a-glance" assessment.
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⚙️ CORE LOGIC
The indicator uses pivot high/low detection to establish dynamic support and resistance levels:
1. When price closes above the previous pivot high → BULL state
2. When price closes below the previous pivot low → BEAR state
3. When the price range (high line - low line) is less than ATR × sensitivity → RANGE state
This approach provides a more objective trend assessment than simple moving average crossovers.
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🎨 VISUAL DESIGN
Optimized for live streaming and screen recording:
- Neon color scheme (Cyan/Magenta/Yellow) for maximum visibility
- Bold text formatting for readability at any resolution
- Glow effect borders for professional appearance
- Emoji icons for instant pattern recognition
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⚠️ DISCLAIMER
This indicator is designed for educational and analytical purposes. It does not provide buy/sell signals and should not be used as a standalone trading system. Always combine with your own analysis and risk management.
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【日本語解説】
🚦 RSHL 3色信号機 v2.0 - マルチタイムフレーム環境認識ツール
■ 概要
複数時間足の相場状況を「信号機」形式で一目で把握できるインジケーターです。ライブ配信やリアルタイム分析に最適化されており、現在の相場がBULL（上昇）🚀、BEAR（下降）📉、RANGE（レンジ）↔のいずれかを即座に判断できます。
■ 主要機能
- MTF分析：4時間足、1時間足、15分足、5分足、チャート足の5つを同時表示
- 3状態分類：ピボットハイ/ローに基づく客観的なトレンド判定
- 時間適応：東京🌸/ロンドン🇬🇧/NY🗽セッションに応じて感度を自動調整
- 総合判定：全時間足を集約した「BULL相場」「BEAR相場」「レンジ相場」ラベル
■ ロジック解説
RSHLメソッドは、ピボットハイ（直近高値）とピボットロー（直近安値）を動的なサポート/レジスタンスとして使用します。
1. 価格がピボットハイを上抜け → BULL状態
2. 価格がピボットローを下抜け → BEAR状態
3. 価格レンジがATR×感度以下 → RANGE状態
単純な移動平均クロスよりも、より客観的なトレンド評価が可能です。
■ デザインの特徴
- ネオンカラー（シアン/マゼンタ/イエロー）で視認性最大化
- 太字フォーマットでどの解像度でも読みやすい
- グロー効果のボーダーでプロフェッショナルな外観
- 絵文字アイコンで瞬時にパターン認識
■ 注意事項
本インジケーターは教育・分析目的で設計されています。売買シグナルを提供するものではありません。必ずご自身の分析とリスク管理と組み合わせてご使用ください。
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Developed by EduVest | 30 Years of STEM Education Experience
For customization inquiries, please see my profile.
RED BULL WINGS [JOAT]RED BULL WINGS - Bullish-Only Institutional Overlay
Introduction and Purpose
RED BULL WINGS is an open-source overlay indicator that combines five distinct bullish detection methods into a single composite scoring system. The core problem this indicator solves is that individual bullish signals (patterns, volume, zones, trendlines) often disagree or fire in isolation. A bullish engulfing pattern means little if volume is weak and price is far from support. Traders need confluence across multiple dimensions to identify high-probability setups.
This indicator addresses that by scoring each bullish component separately, then combining them into a weighted WINGS score (0-100) that reflects overall bullish conviction. When multiple components align, the score rises; when they disagree, the score stays low.
Why These Five Modules Work Together
Each module measures a different aspect of bullish market structure:
1. Module A - Bullish Candlestick Engine - Detects classic reversal patterns (engulfing, marubozu, hammer, 3-bar cluster). These patterns identify WHERE buyers are stepping in.
2. Module B - PVSRA Volume Climax - Measures spread x volume to detect institutional participation. This tells you WHETHER smart money is involved.
3. Module C - Demand Zone Detection - Identifies and tracks order block zones where buyers previously overwhelmed sellers. This shows you WHERE institutional support exists.
4. Module D - Trendline Channel - Builds dynamic support/resistance from pivot points. This reveals the STRUCTURE of the current trend.
5. Module E - Ichimoku Assist - Optional filter using Tenkan/Kijun cross, cloud position, and Chikou confirmation. This provides TREND PERMISSION context.
The combination works because:
Patterns alone can fail without volume confirmation
Volume alone means nothing without price structure context
Zones alone are static without pattern/volume triggers
Trendlines alone miss the micro-level entry timing
When 3+ modules agree, the probability of a valid bullish setup increases significantly
How the Calculations Work
Module A - Pattern Detection:
Bullish Engulfing - Current bullish bar completely engulfs prior bearish bar:
bool engulfingCond = isBullish() and
isBearish() and
open <= close and
close >= open and
bodySize() > bodySize()
Marubozu - Strong body with minimal wicks (body >= 1.8x average, wick ratio < 20%):
float wickRatio = candleRange() > 0 ? (upperWick() + lowerWick()) / candleRange() : 0
bool marubozuCond = isBullish() and
bodySize() >= bodySizeAvg * i_maruMult and
wickRatio < i_wickRatioMax
Hammer - Long lower wick (>= 2.5x body), close in upper third, volume confirmation:
bool hammerWick = lowerWick() >= i_hammerWickMult * bodySize()
bool hammerClose = close >= low + (candleRange() * 0.66)
bool hammerVol = volume >= i_pvsraRisingMult * volAvg
3-Bar Cluster - Three consecutive bullish closes with increasing prices and volume spike:
bool threeBarBullish = isBullish() and isBullish() and isBullish()
bool increasingCloses = close > close and close > close
bool volSpike3Bar = volume >= i_pvsraRisingMult * volAvg or
volume >= i_pvsraRisingMult * volAvg
Module B - PVSRA Volume Analysis:
Uses spread x volume to detect climax conditions:
float spreadVol = candleRange() * volume
float maxSpreadVol = ta.highest(spreadVol, ADJ_PVSRA_LOOKBACK)
bool volClimax = volume >= i_pvsraClimaxMult * volAvg or spreadVol >= maxSpreadVol
bool volRising = volume >= i_pvsraRisingMult * volAvg and volume < i_pvsraClimaxMult * volAvg
Volume only scores when the candle is bullish, preventing false signals on bearish volume spikes.
Module C - Demand Zone Detection:
Identifies zones using a two-candle structure:
// Small bearish candle A followed by larger bullish candle B
bool candleA_bearish = isBearish()
bool candleB_bullish = isBullish()
bool newZoneCond = candleA_bearish and candleB_bullish and
candleB_size >= i_zoneSizeMult * candleA_size
Zones are drawn as rectangles and tracked for retests. Score increases when price is near or inside an active zone, with bonus points for rejection candles.
Module D - Trendline Channel:
Builds dynamic channel from confirmed pivot points:
float ph = ta.pivothigh(high, i_pivotLeft, i_pivotRight)
float pl = ta.pivotlow(low, i_pivotLeft, i_pivotRight)
Pivots are stored and connected to form upper/lower channel lines. The indicator detects breakouts when price closes beyond the channel with volume confirmation.
Module E - Ichimoku Assist:
Standard Ichimoku calculations with bullish scoring:
float tenkan = (ta.highest(high, i_tenkanLen) + ta.lowest(low, i_tenkanLen)) / 2
float kijun = (ta.highest(high, i_kijunLen) + ta.lowest(low, i_kijunLen)) / 2
bool tkCross = ta.crossover(tenkan, kijun)
bool priceAboveCloud = close > cloudTop
bool chikouAbovePrice = chikou > close
Module F - WINGS Composite Score:
All module scores are combined using adjustable weights:
float WINGS_score = 100 * (nW_pattern * S_pattern +
nW_volume * S_vol +
nW_zone * S_zone +
nW_trend * S_trend +
nW_ichi * S_ichi)
Default weights: Pattern 30%, Volume 25%, Zone 20%, Trend 15%, Ichimoku 10%.
Signal Thresholds
WATCH (30-49) - Interesting bullish context forming, not yet actionable
MOMENTUM (50-74) - Strong bullish conditions, multiple modules agreeing
LIFT-OFF (75+) - High-confidence bullish confluence across most modules
WINGS Badge (Dashboard)
The right-side panel displays:
WINGS Score - Current composite score (0-100)
Pattern - Active pattern name and strength, or neutral placeholder
Volume - Normal / Rising / CLIMAX status
Zone - ACTIVE if price is near a demand zone
Trend - Channel position or BREAK status
Ichimoku - OFF / Weak / Bullish / STRONG
Status - Overall signal level (Neutral / WATCH / MOMENTUM / LIFT-OFF)
Input Parameters
Module Toggles:
Enable Bullish Patterns (true) - Toggle pattern detection
Enable PVSRA Volume (true) - Toggle volume analysis
Enable Order Blocks (true) - Toggle demand zone detection
Enable Trendlines (true) - Toggle pivot channel
Enable Ichimoku Assist (false) - Toggle Ichimoku filter (off by default for performance)
Enable Visual Effects (false) - Toggle labels, trails, and visual elements
LIVE MODE (false) - Enable intrabar signals (WARNING: signals may repaint)
Pattern Engine:
Pattern Lookback (5) - Bars for body size averaging
Marubozu Body Multiplier (1.8) - Minimum body size vs average
Hammer Wick Multiplier (2.5) - Minimum lower wick vs body
Max Wick Ratio (0.2) - Maximum wick percentage for marubozu
Volume / PVSRA:
PVSRA Lookback (10) - Period for volume averaging
Climax Multiplier (2.0) - Volume threshold for climax detection
Rising Volume Multiplier (1.5) - Volume threshold for rising detection
Order Blocks:
Zone Size Multiplier (2.0) - Minimum bullish candle size vs bearish
Zone Extend Bars (200) - How far zones project forward
Max Zones (12) - Maximum active zones displayed
Remove Zone on Close Below (true) - Delete broken zones
Trendlines:
Pivot Left/Right Bars (3/3) - Pivot detection sensitivity
Min Slope % (0.25) - Minimum trendline angle
Max Trendlines (5) - Maximum pivot points stored
Trendline Projection Bars (60) - Forward projection distance
Ichimoku:
Tenkan Length (9) - Conversion line period
Kijun Length (26) - Base line period
Senkou B Length (52) - Leading span B period
Displacement (26) - Cloud displacement
WINGS Score:
Weight: Pattern (0.30) - Pattern contribution to score
Weight: Volume (0.25) - Volume contribution to score
Weight: Zone (0.20) - Zone contribution to score
Weight: Trend (0.15) - Trendline contribution to score
Weight: Ichimoku (0.10) - Ichimoku contribution to score
Lift-Off Threshold (75) - Score required for LIFT-OFF signal
Momentum Watch Threshold (50) - Score required for MOMENTUM signal
Visuals:
Signal Cooldown (8) - Minimum bars between labels
Show WINGS Score Badge (true) - Toggle dashboard
Show Wing Combos (true) - Show DOUBLE/MEGA WINGS streaks
Red Background Wash (true) - Tint chart background
Show Lift-Off Trails (false) - Toggle golden trail visuals
How to Use This Indicator
For Bullish Entry Identification:
1. Monitor the WINGS badge for score changes
2. Wait for MOMENTUM (50+) or LIFT-OFF (75+) signals
3. Check which modules are contributing (Pattern + Volume + Zone = stronger)
4. Use demand zones and trendlines as structural reference for entries
For Confluence Confirmation:
1. Use alongside your existing analysis
2. LIFT-OFF signals indicate multiple bullish factors aligning
3. Low scores (< 30) suggest weak bullish context even if one factor looks good
For Zone-Based Trading:
1. Watch for price approaching active demand zones
2. Look for pattern + volume confirmation at zone retests
3. Zone score increases with successful retests
For Trendline Analysis:
1. Monitor the pivot-based channel for trend structure
2. Breakouts with volume confirmation trigger TREND BREAK alerts
3. Price inside channel with bullish patterns = trend continuation setup
1M and lower timeframes:
Alerts Available
LIFT-OFF - High-confidence bullish confluence
MOMENTUM - Strong bullish conditions
Zone Retest - Bullish rejection from demand zone
Trendline Break - Breakout with volume confirmation
Individual patterns (Engulfing, Marubozu, Hammer, 3-Bar Cluster)
Volume Climax - Institutional volume spike
DOUBLE WINGS / MEGA WINGS - Consecutive lift-off signals
Repainting Behavior
By default, the indicator uses confirmed bars only (barstate.isconfirmed), meaning signals appear after the bar closes and do not repaint. However:
LIVE MODE - When enabled, signals can appear intrabar but may disappear if conditions change before bar close. A warning label displays when LIVE MODE is active.
Trendlines - Pivot detection requires lookback bars, so the most recent trendline segments may adjust as new pivots confirm. This is inherent to pivot-based analysis.
Demand Zones - Zones are created on confirmed bars and do not repaint, but they can be removed if price closes below the zone bottom (configurable).
Live Mode with 'Enable Visual Effect' turned off in settings:
Limitations
This is a bullish-only indicator. It does not detect bearish setups or provide short signals.
The WINGS score is a confluence measure, not a prediction. High scores indicate favorable conditions, not guaranteed outcomes.
Pattern detection uses simplified logic. Not all candlestick nuances are captured.
Volume analysis requires reliable volume data. Results may vary on instruments with inconsistent volume reporting.
Ichimoku calculations add processing overhead. Disable if not needed.
Demand zones are based on a specific two-candle structure. Other valid zones may not be detected.
Trendlines use linear regression between pivots. Curved or complex channels are not supported.
Timeframe Recommendations
15m-1H: More frequent signals, useful for intraday analysis. Higher noise.
4H-Daily: Best balance of signal quality and frequency for swing trading.
Weekly: Fewer but more significant signals for position trading.
Adjust lookback periods and thresholds based on your timeframe. Shorter timeframes may benefit from shorter lookbacks.
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. The source code is fully visible and can be studied to understand how each module works.
This indicator does not constitute financial advice. The WINGS score and signals do not guarantee profitable trades. Past performance does not guarantee future results. Always use proper risk management, position sizing, and stop-losses. Test thoroughly on your preferred instruments and timeframes before using in live trading.
- Made with passion by officialjackofalltrades
[CT] Daily & Weekly Percentage Price Oscillator Daily & Weekly Percentage Price Oscillator, or D&W PPO, is a dual-speed momentum oscillator that blends a slower “weekly-style” percentage oscillator with a faster “daily-style” percentage oscillator, then turns the relationship between them into a clean histogram that is easy to trade. The script builds four EMAs from the chart’s close. The first pair, L1 and L2, is used to create the W component, which behaves like a slow, higher-timeframe trend pressure line. W is calculated as the percentage distance between EMA(L1) and EMA(L2), normalized by EMA(L2). When W is rising and positive, it tells you the broader momentum is expanding upward, and when W is falling and negative, the broader momentum is expanding downward. The second pair, L3 and L4, creates the D component, which behaves like a faster, lower-timeframe momentum pulse, also expressed as a percentage but normalized by the same EMA(L2), so both components share a consistent “scale.” The script then combines them into R = W + D, which represents the total blended momentum, where W supplies the slow structure and D supplies the fast impulse.
The indicator is plotted as a histogram using “R − W,” and that choice is intentional. Because R = W + D, the histogram value “R − W” is mathematically identical to D. In other words, the columns you see are the fast momentum component, but anchored to a clear baseline that reflects whether the fast component is adding to, or subtracting from, the slower component’s trend context. The zero line is the equilibrium point where R equals W, meaning the fast component is neutral relative to the slow trend context. When the histogram is above zero, the fast component is contributing positive momentum and the script colors the columns with the Bull color, indicating that R is above W and the short-term push is aligned to the upside. When the histogram is below zero, the fast component is contributing negative momentum and the script colors the columns with the Bear color, indicating that R is below W and the short-term push is aligned to the downside. If you enable “Color price bars,” the chart candles are painted with the same logic so you can visually stay in sync with the fast momentum regime without staring at the panel.
How to trade it comes down to treating the histogram as your actionable trigger layer and using its behavior around the zero line as the decision boundary. A basic long framework is to prioritize long trades when the histogram is above zero and either expanding or printing consecutive positive columns, because that tells you the fast momentum pulse is supportive and not fighting the current regime. The cleanest long entries usually occur when the histogram flips from negative to positive and holds above zero for at least a bar or two, because that transition often marks the shift from pullback pressure into renewed upside impulse. You can add selectivity by watching for a “dip and re-strengthen” pattern above zero: after a positive run, the histogram contracts toward the baseline without breaking materially below it, then turns back up, which often corresponds to a controlled pullback followed by continuation. A basic short framework is the mirror image: prioritize shorts when the histogram is below zero and expanding downward, and treat flips from positive to negative that hold below zero as the higher-quality transition into downside impulse. In both directions, the histogram is especially useful for avoiding trades during momentum dead zones, because when columns chop tightly around the zero line with frequent flips, it is signaling indecision and a lack of clean directional impulse, which is where most “false starts” tend to happen.
Risk management with this tool is straightforward because the oscillator gives you a natural invalidation concept. For long trades, a common invalidation is the histogram losing the zero line and staying negative, since that indicates the fast component has turned from supportive to opposing. For short trades, invalidation is the histogram regaining the zero line and holding positive. Another practical way to manage trades is to use histogram contraction as an early warning that the impulse is weakening. If you are long and positive columns begin to shrink toward zero for several bars, you can tighten risk, take partials, or wait for a fresh expansion before adding. If you are short and negative columns begin to shrink toward zero, the same concept applies. The optional W line can be shown if you want a visual anchor of the slow component; while the histogram is already built to reflect the fast component relative to the slow context, viewing W can help you quickly recognize whether the larger momentum backdrop is generally rising or falling, which can be used as an additional bias filter for trade selection.
In practice, the D&W PPO is best used as a momentum alignment and timing tool: the slow component defines the “weather,” the fast component defines the “wind,” and the histogram tells you whether the wind is pushing with the weather or pushing against it. When the histogram is cleanly one-sided and expanding, it supports continuation-style trading and trend-following entries. When the histogram is choppy around zero, it warns you that conditions are rotational and patience usually pays.
Fed Balance Sheet (Candles)Fed Balance Sheet (Candles) - TradingView Description
📊 OVERVIEW
Fed Balance Sheet (Candles) transforms the Federal Reserve's total assets into an intuitive candlestick visualization, allowing you to track monetary policy changes with the same visual language you use for price action.
This indicator pulls real-time data directly from FRED (Federal Reserve Economic Data) and displays the Total Assets of All Federal Reserve Banks as dynamic candles on your chart, making it effortless to correlate central bank liquidity with market movements.
🎯 WHY THIS MATTERS
The Federal Reserve's balance sheet is one of the most powerful leading indicators in global markets. When the Fed expands its balance sheet (Quantitative Easing), it injects liquidity into the financial system, historically correlating with:
Rising asset prices (stocks, crypto, commodities)
Lower volatility
Risk-on sentiment
Currency devaluation
When the Fed contracts its balance sheet (Quantitative Tightening), liquidity drains from markets, often leading to:
Asset price pressure
Increased volatility
Risk-off sentiment
Dollar strength
By visualizing this as candles, you can instantly see:
The pace of change (candle size)
The direction (green = expansion, red = contraction)
Acceleration or deceleration (consecutive candles in same direction)
Pivots in monetary policy (color changes from green to red or vice versa)
🔧 HOW IT WORKS
Data Source
Source: Federal Reserve Economic Data (FRED)
Metric: Total Assets of All Federal Reserve Banks
Unit: Displayed in Trillions of USD for easy reading
Frequency: Weekly updates (every Wednesday)
Candlestick Construction
Since balance sheet data is reported as a single number each week (not traditional open-high-low-close), this indicator creates candles by comparing each period to the previous one:
Open = Last week's balance sheet value
Close = This week's balance sheet value
High = The higher of the two values
Low = The lower of the two values
This captures directional movement and magnitude of change, making it intuitive for traders accustomed to candlestick analysis.
Color Scheme
🟢 GREEN CANDLES (Expanding Balance Sheet)
When this week's value is higher than last week's
Interpretation: Fed is adding liquidity (Quantitative Easing)
Historically bullish for risk assets
🔴 RED CANDLES (Contracting Balance Sheet)
When this week's value is lower than last week's
Interpretation: Fed is removing liquidity (Quantitative Tightening)
Historically bearish or neutral for risk assets
Value Label
A floating label displays the current balance sheet value in trillions (e.g., "$8.75T") so you always know the exact figure at a glance.
📈 PRACTICAL APPLICATIONS
1. Market Regime Identification
Strings of green candles = Liquidity-driven bull markets
Strings of red candles = Tightening-induced bear markets or corrections
Color transitions = Potential market inflection points
2. Correlation Analysis
Overlay on stock indices (SPY, QQQ, IWM)
Overlay on crypto (BTC, ETH)
Overlay on commodities (Gold, Silver)
Observe how asset prices react to Fed liquidity changes in real-time
3. Macro Timing
Large green candles = Aggressive easing (crisis response)
Large red candles = Aggressive tightening (inflation fighting)
Small candles = Neutral policy (Fed on hold)
4. Risk Management
Shift portfolio allocation based on liquidity environment
Reduce leverage during red candle trends
Increase exposure during green candle trends
Use as confirmation for other technical signals
5. Multi-Timeframe Context
Daily charts: See how daily price action relates to weekly Fed data
Weekly charts: Perfect alignment with data release frequency
Monthly charts: Visualize long-term monetary cycles spanning years
⚙️ SETTINGS
Zero configuration needed. Simply add the indicator to any chart and it works immediately.
The indicator automatically:
Overlays on your main chart
Uses the left price scale (won't interfere with asset prices)
Updates with the latest Fed data
Displays values in trillions for clean readability
🎨 VISUAL DESIGN PHILOSOPHY
The indicator uses semi-transparent candle bodies with vibrant borders to maintain visibility without obscuring your price action. The color scheme follows universal chart conventions where green represents growth/expansion and red represents decline/contraction.
It's designed to blend seamlessly into any chart theme while providing immediate visual clarity about the Fed's monetary stance.
📚 WHAT YOU NEED TO KNOW
Data Availability
Historical data available from December 2002 (over 20 years of Fed policy)
Updates every Wednesday (Federal Reserve's reporting schedule)
Typically published with a 1-week lag
How the Data Appears
On weekdays: Shows the most recent Wednesday's data
On weekends: Shows Friday's data (which is the prior Wednesday's figure)
Updates automatically when new data is released
Scale Considerations
The Fed's balance sheet is measured in trillions, while most assets are priced much lower. The indicator uses the left price scale by default to avoid conflicts with your main asset's price scale. You can easily move it to a separate pane if you prefer.
🧠 INTERPRETATION GUIDE
Historical QE Phases (Green Candles)
2008-2014: Financial Crisis Response
The Fed's balance sheet expanded from under $1T to ~$4.5T to stabilize markets after the mortgage crisis.
2020: COVID-19 Response
Rapid expansion to ~$7T as the Fed stepped in during pandemic lockdowns.
2020-2022: Extended Support
Balance sheet reached historic peak of ~$9T.
Historical QT Phases (Red Candles)
2017-2019: First Modern QT Attempt
The Fed tried to normalize its balance sheet, reducing it from ~$4.5T to ~$3.8T before pivoting.
2022-Present: Inflation-Fighting QT
The Fed began shrinking its balance sheet to combat inflation, letting bonds mature without replacement.
Key Insights
Size matters, but rate of change matters MORE.
A $9T balance sheet growing slowly has different implications than a $5T balance sheet growing rapidly.
Watch for acceleration.
Increasingly large candles (up or down) signal a policy shift that markets will notice.
Plateaus mean "wait and see."
Tiny candles indicate the Fed is holding steady and watching economic data.
Reversals are major events.
When candles switch from green to red (or vice versa), the Fed has changed course—these are critical market turning points.
🎓 EDUCATIONAL VALUE
This indicator helps you understand:
The mechanics of monetary policy through visual learning
The lag between Fed actions and market reactions by observing temporal correlation
The scale of modern central banking (trillions put into perspective)
The relationship between liquidity and asset prices (cause and effect in action)
Many traders talk about "don't fight the Fed" but never actually track what the Fed is doing. Now you can see it as clearly as you see price action.
🔗 RELATED CONCEPTS
For comprehensive macro analysis, consider also tracking:
Fed Funds Rate (short-term interest rates)
M2 Money Supply (broader measure of money in circulation)
Treasury Yield Curves (bond market expectations)
Dollar Index (DXY) (currency strength)
VIX (market fear/volatility)
The Fed's balance sheet is just one piece of the puzzle, but it's arguably the most important one for understanding liquidity conditions.
⚠️ DISCLAIMER
This indicator displays publicly available economic data from the Federal Reserve. It is for informational and educational purposes only and does not constitute financial advice.
Important considerations:
Past monetary policy does not guarantee future market outcomes
Correlation does not equal causation
Asset prices are influenced by many factors beyond Fed liquidity
Always use proper risk management
Consult with qualified financial professionals before making investment decisions
Trading involves substantial risk of loss and is not suitable for everyone.
📜 VERSION HISTORY
Version 1.0 - Initial Release
Fed balance sheet visualized as candlesticks
Real-time FRED data integration
Automatic display in trillions
Dynamic color coding (green/red)
Current value label with exact figure
💡 WHY CANDLES?
You might wonder: "Why show the Fed's balance sheet as candles instead of a line?"
Because candles tell stories that lines can't.
A line shows you where we are
Candles show you how we got here, how fast we're moving, and what momentum looks like
Candles make the Fed's actions feel immediate and tangible
Candles connect macro data to the chart language you already speak
When you see three big green candles in a row on the Fed balance sheet while your crypto or stock portfolio is rallying, you feel the connection. When you see the candles turn red and shrink, you understand the headwinds forming.
It transforms dry economic data into actionable market intelligence.
📞 SUPPORT & FEEDBACK
If you find this indicator valuable:
⭐ Like and favorite to help others discover it
📝 Comment with your use cases and insights
🔔 Follow for updates and new macro indicators
Your feedback drives improvements and helps build better tools for the trading community.
🚀 THE BOTTOM LINE
The Fed's balance sheet is the tide that lifts or lowers all boats.
Whether you're trading stocks, crypto, forex, or commodities—whether you're a day trader or long-term investor—understanding the Fed's liquidity operations gives you an edge.
This indicator makes that understanding visual, immediate, and actionable.
Stop guessing about macro conditions. Start seeing them.
"Don't fight the Fed" - Wall Street Wisdom
Now you can see exactly what they're doing—in the same language you use to read price action.
May your trades ride the tide of liquidity. 🌊📈
