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CloudScore by ExitAnt📘 CloudScore by ExitAnt CloudScore by ExitAnt 는 일목균형표(Ichimoku Cloud)의 구름대 돌파 신호를 기반으로, 다양한 추세 보조지표를 결합하여 매수 추세 강도를 점수화(0~5점) 해주는 트렌드 분석 지표입니다. 기존 일목구름 단독 신호는 변동성이 크거나 신뢰도가 낮을 수 있기 때문에, 이 지표는 여러 기술적 요소를 종합적으로 평가하여 “지금이 얼마나 강력한 추세 전환 구간인가?” 를 직관적으로 보여줍니다. 🎯 지표 목적 일목균형표 구름 돌파의 신뢰도 강화 보조지표 신호를 자동으로 점수화하여 한눈에 판단 가능 캔들 위에 이모지를 배치해 시각적으로 즉시 해석 가능 초보자부터 숙련자까지 모두 활용 가능한 추세 진입 필터링 도구 🧠 점수 계산 방식 (0~5점) 구름 상향 돌파가 발생하면 아래 조건들을 체크하여 점수를 부여합니다. ▶ +1점 조건 항목 1. 골든 크로스 발생 * 최근 설정한 n봉 이내에서 Fast MA가 Slow MA를 상향 돌파한 경우 2. RSI 과매도 구간 * RSI가 설정 값 이하일 때 추세 전환 가능성이 증가 3. MACD 강세 전환 * MACD가 0 아래에 있으면서 시그널선 상향 돌파 발생 4. RSI 상승 다이버전스 * 가격은 낮아지지만 RSI는 상승 → 바닥 신호 5. 200MA 위에 위치 * 장기 추세와 일치하는 시점만 점수 강화 ▶ 점수별 이모지 1점 🟡 : 약한 진입 신호 2점 🟢 : 관찰이 필요한 강화 신호 3점 📈 : 추세 전환 가능성 증가 4점 🚀 : 강한 추세 신호 5점 👑 : 매우 강력한 진입 시그널 🖥 차트 표시 요소 구름대(Span A / Span B)만 표시하여 더 깔끔한 시각화 이모지는 캔들 위에 자동 배치 필요 시 최근 n개의 캔들만 표시하도록 설정 가능 오른쪽 상단에 조건 요약 안내창 표시 🔧 사용자 설정 Tenkan / Kijun / SenkouB 기간 조정 MA, RSI, MACD, 다이버전스 사용 여부 선택 최근 몇 개의 캔들까지 점수를 표시할지 설정 가능 이모지는 사용자 취향에 따라 변경 가능 ⚠️ 유의사항 본 지표는 **가격 움직임의 확률적 해석을 돕는 보조지표**이며, 단독으로 매수·매도 결정을 내려서는 안 됩니다. 시장 상황(변동성, 거래량, 프레임)에 따라 신호의 신뢰도는 달라질 수 있습니다. 실제 매매 전략에 적용하기 전 반드시 백테스트와 검증이 필요합니다. # **📘 CloudScore by ExitAnt — English Description** 📘 CloudScore by ExitAnt CloudScore by ExitAnt is a trend analysis indicator that evaluates bullish trend strength by scoring (0–5 points) signals based on Ichimoku Cloud breakouts combined with multiple momentum and trend indicators. Since the default Ichimoku Cloud breakout alone can be unreliable or highly volatile, this indicator integrates several technical conditions to visually and intuitively show “How strong is the current trend reversal opportunity?” 🎯 Purpose of the Indicator Enhance the reliability of Ichimoku Cloud breakout signals Automatically score multiple signals for quick visual judgment Place emojis directly above candles for instant interpretation Works for both beginners and experienced traders as a trend-entry filtering tool 🧠 Scoring Logic (0–5 points) When a bullish breakout above the cloud occurs, the indicator checks the following conditions and assigns points. ▶ +1 Point Conditions 1. Golden Cross * Fast MA crosses above Slow MA within the user-defined lookback window 2. RSI Oversold * RSI below threshold increases the probability of trend reversal 3. MACD Bullish Shift * MACD is below zero while crossing above the signal line 4. RSI Bullish Divergence * Price makes a lower low while RSI makes a higher low → potential bottom signal 5. Above the 200MA * Only scores when price aligns with long-term trend direction ▶ Emoji by Score 1 Point 🟡 : Weak early signal 2 Points 🟢 : Improved setup; watch closely 3 Points 📈 : Decent trend reversal possibility 4 Points 🚀 : Strong trend entry signal 5 Points 👑 : Very strong bullish signal 🖥 Chart Elements Displays only Span A / Span B to keep the cloud visually clean Emojis automatically appear above candles Optionally limit the number of candles displaying signals Summary box appears in the upper-right corner 🔧 User Settings Adjustable Tenkan / Kijun / Senkou B periods Enable/disable MA, RSI, MACD, divergence filters Set how many recent candles should show the score Emojis can be customized by the user ⚠️ Disclaimer This is a technical assistant tool that helps interpret price movement probabilities; it should not be used as a standalone buy/sell signal. Signal reliability may vary depending on volatility, volume, and timeframe. Always conduct backtesting and validation before using it in real trading strategies.
Indicatore Pine Script®
di ExitAnt_AI
Trend Gazer: Unified ICT Trading System with Signals# Trend Gazer User Guide (English) ## 📖 Table of Contents 1. (#about-this-indicator) 2. (#quick-start-guide-3-steps) 3. (#detailed-usage) 4. (#settings-customization) 5. (#why-combine-multiple-features) 6. (#faq) --- ## About This Indicator **Trend Gazer** is an integrated trading system designed to read institutional order flow like professional traders. ### 🎯 3 Problems This Indicator Solves #### ❌ Problem 1: Too Many Indicators = Information Overload ``` Normal: RSI + MACD + Moving Average + Bollinger Bands... → Cluttered chart Solution: All integrated into ONE indicator → Clean & Clear ``` #### ❌ Problem 2: Single Indicators Give False Signals ``` Normal: Enter based on RSI alone → Frequent stop-outs Solution: Structure × Zone × Momentum multi-angle confirmation → Higher win rate ``` #### ❌ Problem 3: Unclear Entry Timing ``` Normal: Know the trend but don't know WHERE to enter Solution: LS Bounce Signal shows EXACT entry points ``` --- ## Quick Start Guide (3 Steps) ### 🚀 STEP 1: Confirm Trend Direction **Look for CHoCH (Change of Character)** ``` 📍 (1.CHoCH) label = Uptrend starting 📍 (a.CHoCH) label = Downtrend starting ``` **Important**: Wait for CHoCH! No direction without it. --- ### 🎯 STEP 2: Find Entry Points **Wait for LS Bounce Signal (green/red labels)** ``` 🟢 "Long@ HL only" label → LONG (buy) candidate 🔴 "Short@ LH only" label → SHORT (sell) candidate ``` **Label text color meaning**: - **White text**: Clean trend (high confidence) - **Yellow text**: Trend transition (moderate caution) --- ### 🛡️ STEP 3: Final Confirmation with Bar Color **Bar color shows market state** ``` 🔴 Red bar: BUY zone (buying is favored) 🟢 Green bar: SELL zone (selling is favored) ⚪ White bar: Neutral (wait and see) ``` --- ## Detailed Usage ### 📊 Understanding the Chart #### 1. Labels (Market Structure Changes) ``` (1.CHoCH) / (a.CHoCH) : Trend reversal (2.SiMS) / (b.SiMS) : Momentum confirmation (3.BoMS) / (c.BoMS) : Trend continuation ``` #### 2. Boxes (Institutional Order Zones) ``` 📦 Blue boxes: Bullish OB (buy orders accumulated) 📦 Red boxes: Bearish OB (sell orders accumulated) 📦 Black transparent boxes: Liquidity Sweep ``` **How to use Order Blocks**: - Function as support/resistance - Signals within OB have higher reliability - Use for stop-loss placement #### 3. Lines (Trends and Support/Resistance) ``` ━━━ Red lines: EMA20, EMA50, EMA100 (short to mid-term trends) ━━━ Blue lines: 60min NPR/BB bands (support/resistance) ``` #### 4. Bar Colors (Filter 6) ``` Bar color = Real-time market state 🔴 Red: Buying is favored 🟢 Green: Selling is favored ⚪ White: Neutral ``` --- ### 🎯 Practical Trading Flow #### 📍 Preparation Phase ``` 1. Open chart (recommended: 5min or 15min) 2. Add Trend Gazer to chart 3. Start in observation mode (don't enter yet) ``` #### 📍 Entry Decision ``` ✅ CHoCH confirms direction → Uptrend starting ✅ LS Bounce Signal "Long@ HL only" appears → Entry point candidate ✅ Bar turns red → Market supports buying → Entry decision 🎯 ✅ Place stop below nearest Order Block (blue box) ``` #### 📍 Exit Decision ``` 🔴 Opposite LS Bounce Signal "Short@ LH only" appears → Consider taking profit 🔴 Bar turns green → Potential trend reversal, review position 🔴 Stop loss hit → Exit with loss ``` --- ### 💡 Tips for Higher Win Rate #### ✅ DO's ``` 1. Enter AFTER CHoCH appears 2. Prioritize white-text LS Bounce Signals 3. Check higher timeframe (1H or Daily) trend 4. Emphasize signals within Order Blocks 5. Use bar color as final confirmation ``` #### ❌ DON'Ts ``` 1. Enter before CHoCH → No clear direction 2. Enter only on yellow text → Unstable transition period 3. Ignore bar color → Trading against market state 4. Don't check Order Blocks → Unclear support/resistance 5. Enter same direction consecutively → Overtrading ``` --- ## Settings Customization ### 🔧 How to Open Settings ``` 1. Right-click on indicator name on chart 2. Select "Settings..." 3. Settings panel opens ``` --- ### 📋 Recommended Setting Profiles #### 🔰 Beginner Settings (Simple) **Goal**: Reduce noise, show only important signals ``` 【FILTERS】 ✅ Bonus Filter: ON ✅ Filter 6 (OB/BB/NPR Zone Filter): ON ❌ Direction Filter: OFF ❌ Liquidation Reversal Filter: OFF ❌ ICT Market Structure Filter: OFF ❌ EMA Trend Filter: OFF ❌ OB/FVG Filter 1: OFF ❌ OB/FVG Filter 2: OFF 【SIGNALS】 ✅ Signal 0 (Bonus): ON ✅ Signal 1 (VWC Change): ON ✅ Signal 2 (Liq Rev): ON ❌ Signal 3 (LS): OFF (complex alone) ❌ Signal 4 (LS Break): OFF ❌ Signal 5 (OB+LS NPR): OFF ❌ Signal 6 (OB+LS EMA): OFF 【LS BOUNCE SIGNAL】 ✅ Exclude EMA50 from touch detection: OFF ❌ Only show when EMA fills are mixed: OFF ``` **What happens with this setup**: - Only Bonus (black background) signals display - LS Bounce Signals clearly visible - Noisy signals filtered out --- #### 💪 Intermediate Settings (Balanced) **Goal**: Enable key filters for better accuracy ``` 【FILTERS】 ✅ Bonus Filter: ON ✅ Filter 6 (OB/BB/NPR Zone Filter): ON ✅ ICT Market Structure Filter: ON ❌ Direction Filter: OFF ❌ Liquidation Reversal Filter: OFF ❌ EMA Trend Filter: OFF ❌ OB/FVG Filter 1: OFF ❌ OB/FVG Filter 2: OFF 【SIGNALS】 ✅ Signal 0 (Bonus): ON ✅ Signal 1 (VWC Change): ON ✅ Signal 2 (Liq Rev): ON ✅ Signal 3 (LS): ON ❌ Signal 4 (LS Break): OFF ❌ Signal 5 (OB+LS NPR): OFF ❌ Signal 6 (OB+LS EMA): OFF 【LS BOUNCE SIGNAL】 ✅ Exclude EMA50 from touch detection: OFF ❌ Only show when EMA fills are mixed: OFF ``` **What happens with this setup**: - Signals only after CHoCH (trend confirmed) - Filter 6 changes bar colors - Liquidity Sweeps also displayed --- #### 🚀 Advanced Settings (Full Utilization) **Goal**: Master all features ``` 【FILTERS】 ✅ Bonus Filter: ON ✅ Filter 6 (OB/BB/NPR Zone Filter): ON ✅ ICT Market Structure Filter: ON ✅ Direction Filter: ON ✅ EMA Trend Filter: ON ❌ Liquidation Reversal Filter: OFF (optional) ✅ OB/FVG Filter 1: ON ✅ OB/FVG Filter 2: ON 【SIGNALS】 ✅ All ON 【LS BOUNCE SIGNAL】 ✅ Exclude EMA50 from touch detection: ON (reduce EMA50 noise) ✅ Only show when EMA fills are mixed: ON (show only transition zones) ``` **What happens with this setup**: - Fewer signals (precision-focused) - Multiple confirmations greatly reduce false signals - Only signals confirmed by trend, momentum, and zones --- ### 🎨 Display Customization #### Change Label Size ``` 【BUY/SELL SIGNAL APPEARANCE】 → "BUY/SELL Label Size" → Choose from: tiny / small / normal / large / huge Recommended: small (default) ``` #### Order Block Display Settings ``` 【ORDER BLOCK (OB) SETTINGS】 ✅ Show Current TF OB: Current timeframe OB ✅ Show 1min OB: 1-minute OB ✅ Show 5min OB: 5-minute OB ✅ Show 15min OB: 15-minute OB Recommended: Only 15min OB ON (simple) ``` #### Liquidity Sweep Display ``` 【LIQUIDITY SWEEPS SETTINGS】 → "Sweep Length": Sensitivity (small=frequent, large=selective) → "Sweep Option": Standard / Maximum Recommended: Length=40, Option=Standard ``` #### NPR/BB Bands Display ``` 【NPR (NON-REPAINT STDEV) SETTINGS】 ✅ Display 60min NPR Bands: 60-minute support/resistance ❌ Display Current TF NPR Bands: Current timeframe (optional) Recommended: Only 60min ON ``` --- ### ⚙️ Advanced Settings #### Fine-tune Filter 6 ``` 【FINAL FILTERS】 → "Enable Filter 6 (OB/BB/NPR Zone Filter)" When ON: - Bars color-coded red/green/white - Behavior at OB, NPR/BB touches controlled ``` #### LS Bounce Signal Adjustments ``` 【LS BOUNCE SIGNAL】 → "Exclude EMA50 from touch detection" OFF: Detect NPR/BB/EMA50 (all 3) ON: Detect NPR/BB only (exclude EMA50) → "Only show when EMA fills are mixed" OFF: Show all LS Bounce Signals ON: Show only transition zone signals (yellow text) ``` #### MTF (Multi-Timeframe) Control ``` 【ORDER BLOCK (OB) SETTINGS】 → "Disable MTF on 1hr+ Charts" ON: Disable MTF on 1H+ (save memory) OFF: MTF enabled on all timeframes Recommended: ON (unnecessary on larger timeframes) ``` --- ### 🎯 Purpose-Based Configuration Guide #### 🔍 Goal 1: Reduce Signal Count ``` ✅ Bonus Filter: ON ✅ ICT Market Structure Filter: ON ✅ Filter 6: ON ✅ All Signals OFF, only Signal 0 ON ``` #### 🔍 Goal 2: Get More Signals ``` ❌ All Filters OFF ✅ All Signals ON ``` #### 🔍 Goal 3: Trend Following Only ``` ✅ ICT Market Structure Filter: ON ✅ Direction Filter: ON ✅ EMA Trend Filter: ON ``` #### 🔍 Goal 4: Counter-Trend Trading ``` ✅ LS Bounce Signal: ON ✅ Filter 6: ON ❌ ICT Market Structure Filter: OFF ``` #### 🔍 Goal 5: Day Trading (5-15min charts) ``` ✅ Show 15min OB: ON ✅ Display 60min NPR Bands: ON ✅ LS Bounce Signal: ON ❌ Show 1min/5min OB: OFF ``` #### 🔍 Goal 6: Scalping (1-5min charts) ``` ✅ Show 5min OB: ON ✅ Show 15min OB: ON ✅ Display 60min NPR Bands: ON ✅ All Signals: ON ``` --- ### 💾 Saving and Loading Settings #### Save Settings ``` 1. Click "..." in top-right of Settings screen 2. Select "Save as default" → Same settings auto-applied next time ``` #### Reset Settings ``` 1. Click "..." in top-right of Settings screen 2. Select "Reset settings" → Return to default settings ``` --- ## Why Combine Multiple Features? ### 🎯 Problem: Single Indicator Limitations Common trader problems: ``` ❌ RSI alone → Trade against trend, lose ❌ Moving Average alone → Late entry timing ❌ Support/Resistance alone → Caught by false breakouts ``` **Markets are complex**. One angle isn't enough. --- ### 💡 Solution: Multi-Angle Integrated Approach #### 1️⃣ Structure × Zone × Momentum ``` 📐 Structure (ICT CHoCH) → "Which direction is likely?" 📦 Zone (OB/NPR/BB) → "Where will price react?" 💨 Momentum (EMA/VWC) → "Is there momentum now?" ``` **When all 3 align = Highest win-rate timing** --- #### 2️⃣ Multi-Timeframe Analysis ``` Big picture: Confirm Daily direction Medium-term: Check 1H Order Blocks Short-term: Time entry on 5min ``` **Short-term entries aligned with higher timeframes = Better win rate** --- #### 3️⃣ Understanding Liquidity ``` 🎣 Institutional strategy: 1. Intentionally move price opposite to stop out retail 2. Then, move in real direction 💡 Liquidity Sweep = Visualize this "trap" → Read institutional order flow ``` --- ### 🧠 Integration Examples #### Case 1: RSI Alone vs Integrated System **Scenario**: RSI at 30 (oversold) ``` ❌ RSI-only decision: → "Buy!" → But downtrend continues, loss 😢 ✅ Trend Gazer: CHoCH check → Still downtrend ❌ Order Block → In Bearish OB ❌ LS Bounce → SHORT signal only ❌ → Skip or SHORT → Avoid loss ✅ ``` **Result**: Multiple filters block wrong entry --- #### Case 2: LS Bounce Signal 2-Stage Logic **Scenario**: Price touches 60min NPR lower band ``` 🔍 Traditional method: Touched → Buy! → But price continues down 😢 ✅ Trend Gazer: Stage 1: NPR touch + red bar → Flag ON Stage 2: EMA20 crosses above EMA50 → Confirm bounce → Now "Long@ HL only" displays → Entry → Success ✅ ``` **Result**: Not just "touch" but "touch + bounce confirmation" improves accuracy --- ### 🎓 Progressive Learning Design This indicator is designed for **beginners to advanced**: ``` 📖 Beginner (Month 1): Use only CHoCH + LS Bounce Signal → Learn trend and entry points 📖 Intermediate (Months 2-3): Add Order Block + Bar Color → Learn support/resistance and filtering 📖 Advanced (Month 6+): Master all features → Read institutional order flow ``` **Ultimate goal**: Indicator becomes confirmation tool. Your market sense becomes primary. --- ### 🔬 Technical Advantages #### 1. Non-Repaint STDEV (NPR) ``` Normal Bollinger Bands: → Past data changes (repaints) → Inaccurate backtesting NPR: → Past data doesn't change (non-repaint) → Reliable verification possible ``` #### 2. 2-Stage Signal Logic ``` Traditional: Condition met → Immediate signal → Many false signals Trend Gazer: Condition1 → Flag ON → Condition2 → Signal → Confirmation step improves accuracy ``` #### 3. Alternating Filter ``` Problem: Same-direction signals spam → Overtrading Solution: LONG → SHORT → LONG alternating only → Prevent unnecessary entries ``` --- ### 💎 Conclusion: Why Integration? ``` Single indicator = "Partial truth" Integrated system = "3D market perspective" ``` **Markets are multifaceted**. One angle isn't enough. Trend Gazer **integrates multiple screens pros watch simultaneously into ONE**, allowing beginners to read charts with institutional perspective. --- ## FAQ ### ❓ Q1: Which timeframe is best? **A**: Depends on trading style ``` Scalping: 1min ~ 5min Day Trading: 5min ~ 15min Swing: 1H ~ 4H ``` **Important**: LS Bounce Signal only works on 30min and below. --- ### ❓ Q2: Too many signals, confused **A**: Enable filters ``` 【Recommended Settings】 ✅ Bonus Filter: ON ✅ Filter 6: ON ✅ ICT Market Structure Filter: ON → Show only Signal 0 ``` This significantly reduces signal count. --- ### ❓ Q3: No CHoCH appearing, what to do? **A**: Wait or check higher timeframe ``` Method 1: Wait for CHoCH (recommended) Method 2: Check higher timeframe (e.g., Daily) for trend Method 3: Disable ICT Filter (not recommended) ``` **When trend is unclear, sitting out is also strategy**. --- ### ❓ Q4: LS Bounce Signal not appearing **A**: Checkpoints ``` 1. Are you on 30min or below chart? → Doesn't show on 1H+ 2. Are NPR/BB bands displayed? → Check Settings "Display 60min NPR Bands" 3. Is EMA50 excluded? → If "Exclude EMA50" is ON, EMA50 signals won't show ``` --- ### ❓ Q5: Bar color not changing? **A**: Check Filter 6 ``` Settings → FINAL FILTERS → Confirm "Enable Filter 6 (OB/BB/NPR Zone Filter)" is ON If ON but still not changing: → Current price may be outside OB/NPR/BB zones ``` --- ### ❓ Q6: Too many Order Blocks, hard to see **A**: Narrow down displayed OBs ``` Settings → ORDER BLOCK (OB) SETTINGS Recommended: ❌ Show Current TF OB: OFF ❌ Show 1min OB: OFF ❌ Show 5min OB: OFF ✅ Show 15min OB: ON (only this) ``` --- ### ❓ Q7: How to improve win rate? **A**: Thorough multiple confirmations ``` Checklist: ✅ CHoCH appeared ✅ LS Bounce Signal (white text) ✅ Bar color matches (red bar=LONG, green bar=SHORT) ✅ Signal within Order Block ✅ Aligns with higher timeframe trend Enter ONLY when all align ``` --- ### ❓ Q8: Want to practice on demo **A**: Recommended practice method ``` Week 1: Observation only → Watch signals and chart movement → Resist entering Weeks 2-3: Keep records → Screenshot when signal appears → Record subsequent movement Week 4+: Start demo trading → Start with small amounts → Continue keeping records ``` --- ### ❓ Q9: Are there alert features? **A**: Yes, multiple alerts available ``` Setup method: 1. Right-click indicator on chart 2. Select "Add Alert..." 3. Choose from: - ANY ALERT: BUY/SELL Signals - BUY ONLY ALERT - SELL ONLY ALERT - MS UP / MS DOWN - BAR COLOR: RED / LIME - LS BOUNCE: LONG / SHORT Signal ``` --- ### ❓ Q10: Works on other markets? **A**: Yes, works on all markets ``` ✅ Cryptocurrency (BTC, ETH, etc.) ✅ Forex (EUR/USD, USD/JPY, etc.) ✅ Stocks (individual stocks, indices) ✅ Futures (oil, gold, etc.) ``` Works on any market with price and volume data. --- ## 📋 Disclaimer ### ⚠️ Important Notice This indicator is for **educational and informational purposes only**. ``` ❌ NOT investment advice ❌ Does NOT guarantee profits ❌ Past results do NOT guarantee future performance ``` ### Risk Warning ``` ⚠️ Trading involves substantial risk ⚠️ Only trade with funds you can afford to lose ⚠️ Practice extensively on demo account before live trading ⚠️ Make your own informed decisions and act at your own risk ``` --- ## 📞 Support ### Feedback & Questions Feel free to ask questions in TradingView comments section. ### Bug Reports Please report with specific details (timeframe, symbol, screenshots). --- **Author**: rasukaru666 **License**: Mozilla Public License 2.0 **Last Updated**: December 2025 **Version**: Latest --- **Thank you for using Trend Gazer!** **Happy Trading! 📈** ---------------
Indicatore Pine Script®
di rasukaru666
10
ProCrypto OI Candles (auto symbol) — by ruben_procryptoProCrypto OI Candles (Auto Symbol) visualizes Open Interest in a clear and intuitive way by converting OI data into candles and a smooth trendline. The script automatically detects the correct OI symbol based on the chart you are viewing, so there is no need to manually change OI tickers when switching between assets. 🔹 Key Features Automatic Symbol Detection The indicator automatically selects the appropriate Open Interest data source for the asset on your chart (BTC, SOL, ADA, DOGE, etc.). OI Candles Open Interest is displayed as candles to show whether market participation is increasing or decreasing on each bar. Multi-exchange Support Users can choose OI data from Binance, Bybit, or OKX. Any combination is supported. Smooth OI Trendline An optional EMA-based OI line provides a clear view of the underlying trend in trader activity. Delta Bars (optional) Highlights whether Open Interest expanded or contracted within the candle. 🔹 How to Interpret OI Typical relationships between price and OI: Price ↑ + OI ↑ → Trend continuation likely New positions entering the market. Price ↑ + OI ↓ → Short squeeze / weak move Shorts closing, not new longs opening. Price ↓ + OI ↑ → New shorts entering Often signals bearish pressure. Price ↓ + OI ↓ → Longs closing Can indicate capitulation or consolidation. These concepts help traders understand the strength or weakness behind a price move. 🔹 Inputs Choose exchange(s) for OI data Adjust candle opacity Enable/disable OI line Smoothing length for OI line Optional delta bars Range lookback for line offset All settings are customizable to suit different styles of analysis. 🔹 Notes Some assets may not have Open Interest data available on all exchanges. The indicator uses standard TradingView data sources via request.security(). No trading signals are generated; this script is a visualization tool only. 🔹 Author Created by ruben_procrypto for traders who analyze liquidity, Open Interest, and market participation.
Indicatore Pine Script®
di Ruben_ProCrypto
Real Relative Strength Indicator### What is RRS (Real Relative Strength)? RRS is a volatility-normalized relative strength indicator that shows you – in real time – whether your stock, crypto, or any asset is genuinely beating or lagging the broader market after adjusting for risk and volatility. Unlike the classic “price ÷ SPY” line that gets completely fooled by volatility regimes, RRS answers the only question that actually matters to professional traders: “Is this ticker moving better (or worse) than the market on a risk-adjusted basis right now?” It does this by measuring the excess momentum of your ticker versus a benchmark (SPY, QQQ, BTC, etc.) and then dividing that excess by the average volatility (ATR) of both instruments. The result is a clean, centered-around-zero oscillator that works the same way in calm markets, crash markets, or parabolic bull runs. ### How to Use the RRS Indicator (Aqua/Purple Area Version) in Practice The indicator is deliberately simple to read once you know the rules: Positive area (aqua) means genuine outperformance. Negative area (purple) means genuine underperformance. The farther from zero, the stronger the leadership or weakness. #### Core Signals and How to Trade Them - RRS crossing above zero → one of the highest-probability long signals in existence. The asset has just started outperforming the market on a risk-adjusted basis. Enter or add aggressively if price structure agrees. - RRS crossing below zero → leadership is ending. Tighten stops, take partial or full profits, or flip short if you trade both sides. - RRS above +2 (bright aqua area) → clear leadership. This is where the real money is made in bull markets. Trail stops, add on pullbacks, let winners run. - RRS below –2 (bright purple area) → clear distribution or capitulation. Avoid new longs, consider short entries or protective puts. - Extreme readings above +4 or below –4 (background tint appears) → rare, very high-conviction moves. Treat these like once-a-month opportunities. - Divergence (not plotted here, but easy to spot visually): price making new highs while the aqua area is shrinking → distribution. Price making new lows while the purple area is shrinking → hidden buying and coming reversal. #### Best Settings by Style and Asset Class For stocks and ETFs: keep benchmark as SPY (or QQQ for tech-heavy names) and length 14–20 on daily/4H charts. For crypto: change the benchmark to BTCUSD (or ETHUSD) immediately — otherwise the reading is meaningless. Length 10–14 works best on 1H–4H crypto charts because volatility is higher. For day trading: drop length to 10–12 and use 15-minute or 5-minute charts. Signals are faster and still extremely clean. #### Highest-Edge Setups (What Actually Prints Money) - RRS crosses above zero while price is still below a major moving average (50 EMA, 200 SMA, etc.) → early leadership, often catches the exact bottom of a new leg up. - RRS already deep aqua (+3 or higher) and price pulls back to support without RRS dropping below +1 → textbook add-on or re-entry zone. - RRS deep purple and suddenly turns flat or starts curling up while price is still falling → hidden accumulation, usually the exact low tick. That’s it. Master these few rules and the RRS becomes one of the most powerful edge tools you will ever use for rotation trading...
Indicatore Pine Script®
di EMA34TRADER
Easy Crypto Signal FREE🆓 FREE Bitcoin & Crypto Trading Indicator Easy Crypto Signal FREE helps you make better trading decisions with real-time BUY/SELL signals based on multiple technical indicators. ✅ What you get in FREE version: • Real-time BUY/SELL signals (green/red arrows) • Trading SCORE (0-100%) - market strength indicator • Works on BTC, ETH, and all major altcoins • Optimized for 4h timeframe (works on all timeframes) • Simple visual interface • Basic alert system 📊 How it works: The indicator combines RSI, MACD, EMA trends, and volume analysis to generate a composite SCORE (0-100%). • SCORE > 65% = BUY signal 🟢 • SCORE < 35% = SELL signal 🔴 • SCORE 35-65% = WAIT (neutral zone) 🟡 ⚠️ FREE Version Limitations: • No detailed RSI values • No MACD trend details • No trend strength indicators • Fixed sensitivity (65%) • Limited customization 💎 Want the FULL PRO version? 🚀 PRO includes: • Full RSI + MACD + Trend analysis displayed • Customizable sensitivity (40-80%) • Advanced alert customization • Professional clean interface • Volume strength indicator • NO watermarks • Premium support 📊 Proven Backtest Results: • 57.1% Win Rate • 3.36 Profit Factor (Excellent) • +9.55% return in 3 months • Only -2.69% Max Drawdown (Low Risk) 🔗 Get PRO version: 📈 Best practices: 1. Use on 4h timeframe for best results 2. Combine with your own analysis 3. Always set Stop Loss (5-10%) 4. Test on demo account first 5. Don't trade based on signals alone ⚠️ Risk Disclaimer: Cryptocurrency trading involves substantial risk. This indicator is for educational purposes only and does not guarantee profits. Past performance does not indicate future results. Always do your own research and never invest more than you can afford to lose. 📧 Questions or Feedback? Comment below or message me directly! 🌟 If you find this helpful, please give it a like and share! v1.0 - Initial FREE release • Basic BUY/SELL signal system • Score indicator 0-100% • Optimized for 4h timeframe • Works on all crypto pairs
Indicatore Pine Script®
di Golkar22
1
Wyckoff + VSA Ultimate - Complete Market Analysis **Wyckoff + VSA Ultimate** combines three proven methodologies into one powerful indicator: 🔷 **Wyckoff Method** - Identifies market accumulation and distribution phases 🔷 **Volume Spread Analysis** - Confirms moves with volume and price spread 🔷 **Random Walk Index** - Validates trend strength and direction **MAIN SIGNALS:** 📊 **Wyckoff Signals** (Green = Bullish, Red = Bearish) • SC (Selling Climax) - Major buying opportunity • BC (Buying Climax) - Major selling opportunity • AR (Automatic Rally) - Confirms accumulation • DAR (Automatic Reaction) - Confirms distribution • ST (Secondary Test) - Final test before move 📊 **VSA Patterns** • Upthrust bars (weakness after rally) • Reverse upthrust (strength after decline) • No demand/supply bars • Stopping volume • Effort failures **KEY FEATURES:** ✅ Multiple signal confirmation reduces false signals ✅ Real-time info table shows phase, volume, trends ✅ Dynamic stop loss levels calculated automatically ✅ Accumulation/Distribution boxes on chart ✅ Customizable filters for your trading style ✅ 12 alert conditions for all major signals **HOW TO USE:** For Swing Trading (4H/Daily): 1. Enable "Require VSA Confirmation" 2. Wait for SC or BC signals 3. Use displayed stop levels 4. Target next opposite phase For Day Trading (15m/1H): 1. Enable "Require Trend Confirmation" 2. Trade only trend-aligned signals 3. Increase volume threshold to 1.5 4. Use tighter risk management **BEST FOR:** ✅ Stocks (high volume) ✅ Forex majors ✅ Crypto (BTC, ETH) ✅ Index futures **SETTINGS:** Customize everything: • RSI & Pivot parameters • Volume & Spread analysis • Trend periods (RWI) • Signal filters • Visual display options **ALERTS:** Pre-configured alerts for: • All Wyckoff signals • VSA reversals • Strong buy/sell combinations **Credits:** Integrates Wyckoff (faytterro) and VSA (theehoganator) methods. **Disclaimer:** Educational purposes only. Use proper risk management. Past performance doesn't guarantee future results. --- Pine Script™ v6 ---
Indicatore Pine Script®
di alegorico
Viprasol Elite Flow Pro - Premium Order Flow & Trend System═══════════════════════════════════════════════════════════════ 🔥 VIPRASOL ELITE FLOW PRO Professional Order Flow & Trend Detection System ═══════════════════════════════════════════════════════════════ 📊 WHAT IS THIS INDICATOR? Viprasol Elite Flow Pro is a comprehensive trading system that combines institutional order flow analysis with adaptive trend detection. Unlike basic indicators, this tool identifies high-probability setups by analyzing where smart money is likely positioning, while filtering signals through multiple confirmation layers. This indicator is designed for traders who want to: ✓ Identify premium (supply) and discount (demand) zones automatically ✓ Detect trend direction with adaptive cloud technology ✓ Spot high-volume rejection points before major moves ✓ Filter low-quality signals with intelligent confirmation logic ✓ Track market strength in real-time via elite dashboard ═══════════════════════════════════════════════════════════════ 🎯 CORE FEATURES ═══════════════════════════════════════════════════════════════ 1️⃣ ELITE TREND ENGINE • Adaptive Moving Average system (Fast/Adaptive/Smooth modes) • Dynamic trend cloud that expands/contracts with volatility • Real-time trend state tracking (Bullish/Bearish/Ranging) • Trend strength meter (0-10 scale) • ATR-based volatility adjustments 2️⃣ ORDER FLOW DETECTION • Automatic Premium Zone (Supply) identification • Automatic Discount Zone (Demand) identification • Smart zone extension - zones remain valid until broken • Zone rejection detection with price action confirmation • Customizable zone strength (5-30 bars lookback) 3️⃣ VOLUME INTELLIGENCE • Volume spike detection (configurable threshold) • Climax bar identification (exhaustion signals) • Volume filter for signal validation • Institutional activity detection 4️⃣ SMART SIGNAL SYSTEM • 3 Signal Modes: Aggressive, Balanced, Conservative • Multi-layer confirmation logic • Automatic profit targets (2:1 risk-reward) • Stop loss suggestions based on ATR • Prevents overtrading with bars-since-signal filter 5️⃣ ELITE DASHBOARD (HUD) • Real-time trend direction and strength • Volume status monitoring • Active zones counter • Market volatility gauge • Current signal status • 4 positioning options, compact mode available 6️⃣ PREMIUM STYLING • 4 Professional color themes (Cyber/Gold/Ocean/Fire) • Adjustable transparency and label sizes • Clean, institutional-grade visuals • Optimized for all chart types ═══════════════════════════════════════════════════════════════ 📖 HOW TO USE THIS INDICATOR ═══════════════════════════════════════════════════════════════ STEP 1: TREND IDENTIFICATION → Green Cloud = Bullish trend - look for LONG opportunities → Red Cloud = Bearish trend - look for SHORT opportunities → Purple Cloud = Ranging - wait for breakout or fade extremes STEP 2: ZONE ANALYSIS → PREMIUM (Red) zones = Potential resistance/supply areas → DISCOUNT (Green) zones = Potential support/demand areas → Price rejecting from zones = high-probability setups STEP 3: SIGNAL CONFIRMATION → Wait for "LONG" or "SHORT" labels to appear → Check dashboard for trend strength (Moderate/Strong preferred) → Confirm volume status is "HIGH" or "CLIMAX" → Entry: Enter when label appears → Stop Loss: Use dotted line (1 ATR away) → Take Profit: Use dashed line (2 ATR away) STEP 4: RISK MANAGEMENT → Never risk more than 1-2% per trade → Use the provided stop loss levels → Trail stops as price moves in your favor → Avoid trading during low volatility periods ═══════════════════════════════════════════════════════════════ ⚙️ RECOMMENDED SETTINGS ═══════════════════════════════════════════════════════════════ FOR SCALPING (1M - 5M): - Trend Type: Fast - Sensitivity: 15 - Signal Mode: Aggressive - Zone Strength: 8 FOR DAY TRADING (15M - 1H): - Trend Type: Adaptive - Sensitivity: 21 (default) - Signal Mode: Balanced - Zone Strength: 12 (default) FOR SWING TRADING (4H - Daily): - Trend Type: Smooth - Sensitivity: 34 - Signal Mode: Conservative - Zone Strength: 20 BEST MARKETS: ✓ Crypto (BTC, ETH, major altcoins) ✓ Forex (Major pairs: EUR/USD, GBP/USD) ✓ Indices (S&P 500, NASDAQ, DAX) ✓ High-liquidity stocks ═══════════════════════════════════════════════════════════════ 🎓 UNDERSTANDING THE METHODOLOGY ═══════════════════════════════════════════════════════════════ This indicator is built on three core concepts: 1. ORDER FLOW THEORY Markets move between premium (expensive) and discount (cheap) zones. Smart money accumulates in discount zones and distributes in premium zones. This indicator identifies these zones automatically. 2. ADAPTIVE TREND FOLLOWING Unlike fixed-period moving averages, the Elite Trend Engine adjusts to current market volatility, providing more accurate trend signals in both trending and ranging conditions. 3. CONFLUENCE-BASED ENTRIES Signals only trigger when multiple conditions align: - Price in correct zone (premium for shorts, discount for longs) - Trend confirmation (cloud color matches direction) - Volume validation (spike or climax present) - Price action strength (strong rejection candles) This multi-layer approach dramatically reduces false signals. ═══════════════════════════════════════════════════════════════ 🔔 ALERT SETUP ═══════════════════════════════════════════════════════════════ This indicator includes 5 alert types: 1. Long Signal → Triggers when buy conditions met 2. Short Signal → Triggers when sell conditions met 3. Volume Climax → Warns of pot
Indicatore Pine Script®
di viprasol
2
Superior-Range Bound Renko - Alerts - 11-29-25 - Signal LynxSuperior-Range Bound Renko – Alerts Edition with Advanced Risk Management Template Signal Lynx | Free Scripts supporting Automation for the Night-Shift Nation 🌙 1. Overview This is the Alerts & Indicator Edition of Superior-Range Bound Renko (RBR). The Strategy version is built for backtesting inside TradingView. This Alerts version is built for automation: it emits clean, discrete alert events that you can route into webhooks, bots, or relay engines (including your own Signal Lynx-style infrastructure). Under the hood, this script contains the same core engine as the strategy: Adaptive Range Bounding based on volatility Renko Brick Emulation on standard candles A stack of Laguerre Filters for impulse detection K-Means-style Adaptive SuperTrend for trend confirmation The full Signal Lynx Risk Management Engine (state machine, layered exits, AATS, RSIS, etc.) The difference is in what we output: Instead of placing historical trades, this version: Plots the entry and RM signals in a separate pane (overlay = false) Exposes alertconditions for: Long Entry Short Entry Close Long Close Short TP1, TP2, TP3 hits (Staged Take Profit) This makes it ideal as the signal source for automated execution via TradingView Alerts + Webhooks. 2. Quick Action Guide (TL;DR) Best Timeframe: 4H and above. This is a swing-trading / position-trading style engine, not a micro-scalper. Best Assets: Volatile but structured markets, e.g.: BTC, ETH, XAUUSD (Gold), GBPJPY, and similar high-volatility majors or indices. Script Type: indicator() – Alerts & Visualization Only No built-in order placement All “orders” are emitted as alerts for your external bot or manual handling Strategy Type: Volatility-Adaptive Trend Following + Impulse Detection using Renko-like structure and multi-layer Laguerre filters. Repainting: Designed to be non-repainting on closed candles. The underlying Risk Management engine is built around previous-bar data (close , high , low ) for execution-critical logic. Intrabar values can move while the bar is forming (normal for any advanced signal), but once a bar closes, the alert logic is stable. Recommended Alert Settings: Condition: one of the built-in signals (see section 3.B) Options: “Once Per Bar Close” is strongly recommended for automation Message: JSON, CSV, or simple tokens – whatever your webhook / relay expects 3. Detailed Report: How the Alerts Edition Works A. Relationship to the Strategy Version The Alerts Edition shares the same internal logic as the strategy version: Same Adaptive Lookback and volatility normalization Same Range and Close Range construction Same Renko Brick Emulator and directional memory (renkoDir) Same Fib structures, Laguerre stack, K-Means SuperTrend, and Baseline signals (B1, B2) Same Risk Management Engine and layered exits In the strategy script, these signals are wired into strategy.entry, strategy.exit, and strategy.close. In the alerts script: We still compute the final entry/exit signals (Fin, CloseEmAll, TakeProfit1Plot, etc.) Instead of placing trades, we: Plot them for visual inspection Expose them via alertcondition(...) so that TradingView can fire alerts. This ensures that: If you use the same settings on the same symbol/timeframe, the Alerts Edition and Strategy Edition agree on where entries and exits occur. (Subject only to normal intrabar vs. bar-close differences.) B. Signals & Alert Conditions The alerts script focuses on discrete, automation-friendly events. Internally, the main signals are: Fin – Final entry decision from the RM engine CloseEmAll – RM-driven “hard close” signal (for full-position exits) TakeProfit1Plot / 2Plot / 3Plot – One-time event markers when each TP stage is hit On the chart (in the separate indicator pane), you get: plot(Fin) – where: +2 = Long Entry event -2 = Short Entry event plot(CloseEmAll) – where: +1 = “Close Long” event -1 = “Close Short” event plot(TP1/TP2/TP3) (if Staged TP is enabled) – integer tags for TP hits: +1 / +2 / +3 = TP1 / TP2 / TP3 for Longs -1 / -2 / -3 = TP1 / TP2 / TP3 for Shorts The corresponding alertconditions are: Long Entry alertcondition(Fin == 2, title="Long Entry", message="Long Entry Triggered") Fire this to open/scale a long position in your bot. Short Entry alertcondition(Fin == -2, title="Short Entry", message="Short Entry Triggered") Fire this to open/scale a short position. Close Long alertcondition(CloseEmAll == 1, title="Close Long", message="Close Long Triggered") Fire this to fully exit a long position. Close Short alertcondition(CloseEmAll == -1, title="Close Short", message="Close Short Triggered") Fire this to fully exit a short position. TP 1 Hit alertcondition(TakeProfit1Plot != 0, title="TP 1 Hit", message="TP 1 Level Reached") First staged take profit hit (either long or short). Your bot can interpret the direction based on position state or message tags. TP 2 Hit alertcondition(TakeProfit2Plot != 0, title="TP 2 Hit", message="TP 2 Level Reached") TP 3 Hit alertcondition(TakeProfit3Plot != 0, title="TP 3 Hit", message="TP 3 Level Reached") Together, these give you a complete trade lifecycle: Open Long / Short Optionally scale out via TP1/TP2/TP3 Close remaining via Close Long / Close Short All while the Risk Management Engine enforces the same logic as the strategy version. C. Using This Script for Automation This Alerts Edition is designed for: Webhook-based bots Execution relays (e.g., your own Lynx-Relay-style engine) Dedicated external trade managers Typical setup flow: Add the script to your chart Same symbol, timeframe, and settings you use in the Strategy Edition backtests. Configure Inputs: Longs / Shorts enabled Risk Management toggles (SL, TS, Staged TP, AATS, RSIS) Weekend filter (if you do not want weekend trades) RBR-specific knobs (Adaptive Lookback, Brick type, ATR vs Standard Brick, etc.) Create Alerts for Each Event Type You Need: Long Entry Short Entry Close Long Close Short TP1 / TP2 / TP3 (optional, if your bot handles partial closes) For each: Condition: the corresponding alertcondition Option: “Once Per Bar Close” is strongly recommended Message: You can use structured JSON or a simple token set like: {"side":"long","event":"entry","symbol":"{{ticker}}","time":"{{timenow}}"} or a simpler text for manual trading like: LONG ENTRY | {{ticker}} | {{interval}} Wire Up Your Bot / Relay: Point TradingView’s webhook URL to your execution engine Parse the messages and map them into: Exchange Symbol Side (long/short) Action (open/close/partial) Size and risk model (this script does not position-size for you; it only signals when, not how much.) Because the alerts come from a non-repainting, RM-backed engine that you’ve already validated via the Strategy Edition, you get a much cleaner automation pipeline. D. Repainting Protection (Alerts Edition) The same protections as the Strategy Edition apply here: Execution-critical logic (trailing stop, TP triggers, SL, RM state changes) uses previous bar OHLC: open , high , low , close No security() with lookahead or future-bar dependencies. This means: Alerts are designed to fire on states that would have been visible at bar close, not on hypothetical “future history.” Important practical note: Intrabar: While a bar is forming, internal conditions can oscillate. Bar Close: With “Once Per Bar Close” alerts, the fired signal corresponds to the final state of the engine for that candle, matching your Strategy Edition expectations. 4. For Developers & Modders You can treat this Alerts script as an ”RM + Alert Framework” and inject any signal logic you want. Where to plug in: Find the section: // BASELINE & SIGNAL GENERATION You’ll see how B1 and B2 are built from the RBR stack and then combined: baseSig = B2 altSig = B1 finalSig = sigSwap ? baseSig : altSig To use your own logic: Replace or wrap the code that sets baseSig / altSig with your own conditions: e.g., RSI, MACD, Heikin Ashi filters, candle patterns, volume filters, etc. Make sure your final decision is still: 2 → Long / Buy signal -2 → Short / Sell signal 0 → No trade finalSig is then passed into the RM engine and eventually becomes Fin, which: Drives the Long/Short Entry alerts Interacts with the RM state machine to integrate properly with AATS, SL, TS, TP, etc. Because this script already exposes alertconditions for key lifecycle events, you don’t need to re-wire alerts each time — just ensure your logic feeds into finalSig correctly. This lets you use the Signal Lynx Risk Management Engine + Alerts wrapper as a drop-in chassis for your own strategies. 5. About Signal Lynx Automation for the Night-Shift Nation 🌙 Signal Lynx builds tools and templates that help traders move from: “I have an indicator” → “I have a structured, automatable strategy with real risk management.” This Superior-Range Bound Renko – Alerts Edition is the automation-focused companion to the Strategy Edition. It’s designed for: Traders who backtest with the Strategy version Then deploy live signals with this Alerts version via webhooks or bots While relying on the same non-repainting, RM-driven logic We release this code under the Mozilla Public License 2.0 (MPL-2.0) to support the Pine community with: Transparent, inspectable logic A reusable Risk Management template A reference implementation of advanced adaptive logic + alerts If you are exploring full-stack automation (TradingView → Webhooks → Exchange / VPS), keep Signal Lynx in your search. License: Mozilla Public License 2.0 (Open Source). If you build improvements or helpful variants, please consider sharing them back with the community.
Indicatore Pine Script®
di SignalLynx
$TGM | Topological Geometry Mapper (Custom)TGM | Topological Geometry Mapper (Custom) – 2025 Edition The first indicator that reads market structure the way institutions actually see it: through persistent topological features (Betti-1 collapse) instead of lagging price patterns. Inspired by algebraic topology and persistent homology, TGM distills regime complexity into a single, real-time proxy using the only two macro instruments that truly matter: • CBOE:VIX – market fear & convexity • TVC:DXY – dollar strength & global risk appetite When the weighted composite β₁ persistence drops below the adaptive threshold → market structure radically simplifies. Noise dies. Order flow aligns. A directional explosion becomes inevitable. Features • Structural Barcode Visualization – instantly see complexity collapsing in real time • Dynamic color system: → Neon green = long breakout confirmed → red = short breakout confirmed → yellow = simplification in progress (awaiting momentum) → deep purple = complex/noisy regime • Clean HUD table with live β₁ value, threshold, regime status and timestamp • Built-in high-precision alerts (Long / Short / Collapse) • Zero repaint – uses only confirmed data • Works on every timeframe and every market Best used on: BTC, ETH, ES/NQ, EURUSD, GBPUSD, NAS100, SPX500, Gold – anywhere liquidity is institutional. This is not another repainted RSI or MACD mashup. This is structural regime detection at the topological level. Welcome to the future of market geometry. Made with love for the real traders. Open-source. No paywalls. No BS. #topology #betti #smartmoney #ict #smc #orderflow #regime #institutional
Indicatore Pine Script®
di Timmy741
$MTF Fractal Echo DetectorMIL:MTVFR FRACTAL ECHO DETECTOR by Timmy741 The first public multi-timeframe fractal convergence system that actually works. Market makers don’t move price randomly. They test the same fractal structure on lower timeframes first → then execute the real move on higher timeframes. This indicator catches the “echo” — when 3–5 timeframes are printing fractals at almost the exact same price level. That’s not coincidence. That’s preparation. FEATURES • 5 simultaneous timeframes (1min → 4H by default) • Real Williams Fractal detection (configurable period) • Dynamic echo tolerance & minimum TF alignment • Visual S/R zones from every timeframe • Bullish / Bearish echo convergence signals • Strength meter (3/5, 4/5, 5/5 TF alignment) • Zero repainting — uses proper lookahead=off • Fully Pine v6 typed + optimized USE CASE When you see a 4/5 or 5/5 echo: → That level is being defended or attacked with intent → 80%+ chance the next real move comes from there → Trade the breakout or reversal at that exact fractal cluster Works insane on: • BTC / ETH (all timeframes) • Nasdaq / SPX futures • Forex majors (especially GBP & gold) • 2025 small-cap rotation setups 100% Open Source • MPL 2.0 • Built by Timmy741 • December 2024 If you know about fractal echoes… you already know. #fractal #mtf #echo #williamsfractal #multitimeframe #smartmoney #ict #smc #orderflow #convergence #timmy741 #snr #structure
Indicatore Pine Script®
di Timmy741
DPX+ Command Structural Flow Engine (v6) - FinalDPX+ COMMAND STRUCTURAL FLOW ENGINE v6 — DARKPOOL EDITION The most advanced auto-calibrated dark-pool absorption + structural flow detector ever released to the public. 100% Open Source • Zero repainting • Institutional-grade math • Built for commanders only. WHAT THIS ACTUALLY IS A real-time fusion of: • Reynolds Number proxy (laminar → turbulent flow detection) • Tsallis Δq non-extensive entropy (tension & phase transition predictor) • DPX — proprietary Dark Pool Absorption Index (volume-weighted inefficiency) All three are AUTO-CALIBRATED to the current market regime. No manual thresholds. Works on BTC, SPX, TSLA, 1m or monthly — same settings. FEATURES • Jet-black military HUD with live COMMAND output • Lethal Entry signals when ALL 3 systems align (extremely rare, extremely high win rate) • Visualizes laminar vs turbulent flow in real time • DPX absorption/distribution zones with dynamic bands • Structural break warnings before violent moves • Zero input tweaking needed — fully adaptive USE CASE This is not a "buy/sell arrow" script. This is a command-center structural flow monitor used by professionals who understand order flow phases: → Accumulation (dark pool buying dips) → Tension buildup (Δq spike) → Phase transition (laminar → turbulent) → Lethal structural convergence = high-conviction entry WHEN THE HUD SAYS "**BUY** (Lethal Structural Convergence)" — you listen. Tested and proven on: • Crypto bear market bottoms • 2022–2023 SPX distribution tops • 2025 small-cap rotation Fully open source because real edge isn’t in the code — it’s in understanding what the code is showing you. If you know, you know. #darkpool #orderflow #structural #dpx #reynolds #tsallis #institutional #smartmoney #accumulation #distribution #phasechange #ict #smc #commandcenter Made with respect for the craft. Drop a ♥ if this speaks to you.
Indicatore Pine Script®
di Timmy741
Crypto Signals & Overlays –29-11-2025Nebula Crypto Signals & Overlays Nebula is a multi-timeframe trend and momentum indicator designed for high-cap crypto pairs (BTC, ETH, SOL, DOGE, etc.). • Uses 21/50/200 EMAs + higher-timeframe EMA for trend filtering • RSI and Bollinger Bands for momentum and squeeze detection • Generates BUY/SELL labels on trend-side pullbacks • ATR line as a dynamic stop/target guide, plus pivot-based support/resistance zones • Background colors: green = bullish regime, red = bearish regime, yellow = low-volatility squeeze Not financial advice. Always backtest and use proper risk management before trading live.
Indicatore Pine Script®
di kamransheikh70670
Extended SOPR Indicator - SSOPR Tops (A/B toggle)Extended SOPR Indicator — SSOPR Tops and Lows (A/B toggle) Observation-only. Data: Glassnode SOPR. Overview This indicator extends the classical SOPR (Spent Output Profit Ratio) to improve readability and reduce noise on charts. SOPR measures whether coins moved on-chain were spent at a profit or at a loss. In brief: SOPR > 1 → spending at profit; SOPR < 1 → spending at loss. SSOPR (from "Smoothed SOPR") applies optional log transform (centers baseline at 0), smoothing (standard or adaptive), and adds structured signals: Z‑score lows (capitulation), buy zones , and top detection after prolonged elevation. Why extend SOPR? (SSOPR vs classical SOPR) • Noise reduction: Raw daily SOPR can whipsaw around its baseline. SSOPR uses smoothing and (optionally) adaptive smoothing so regimes are visible without overfitting. • Better readability: The log transform shifts the break-even line to 0, making “profit territory” (above 0) and “loss territory” (below 0) visually intuitive on oscillators. • Actionable context: Z‑score highlights extreme lows (capitulation risk), a simple buy-zone threshold marks potential accumulation, and a structured top pattern (with a time factor) helps frame distribution phases after sustained elevation. What the script plots • Smoothed SOPR (SSOPR): An orange line representing the smoothed SOPR (with optional log transform and optional adaptive smoothing). • Top markers: A red triangle appears once at the onset of a confirmed top pattern. • Background shading: – Soft green: Buy zone when SSOPR falls below the “Buy Threshold.” (+ Z‑score capitulation zones (extreme lows)). – Soft red: Top‑zone shading when the top criteria are met but before the single triangle fires. Inputs & parameters • Smoothing Length (default 14): Base window for smoothing SSOPR. Higher values = smoother, slower response. • Apply Log Transform (default ON): Uses log(SOPR) so the baseline is 0 (log(1)=0). Above 0 → net profit regime; below 0 → net loss regime. • Adaptive Smoothing (default OFF): Expands smoothing length as volatility rises using a standard deviation proxy; reduces whipsaws while preserving structure. • Z‑score Threshold for Lows (default −2.5): Highlights capitulation zones when SSOPR deviates far below its rolling mean. • SSOPR Buy Threshold (default −0.02): Simple rule-of-thumb level for potential accumulation context when below (log scale). • SSOPR Top Threshold (default +0.005): Minimum elevation required for “profit territory” when assessing tops (log scale). • Min Bars Above Threshold Before Top (default 50): Ensures prolonged elevation before calling a top. • Lookback for Peak Detection (default 50): Window used to locate the recent high. • Drop % from Peak to Confirm Top (default 5%): Confirms the start of distribution from a local high. • Highlight Background : Toggles shaded zones. Top detection (indicator-only) A top fires when ALL of the following are true: SSOPR spent at least Min Bars Above Threshold above the Top Threshold (sustained elevation). The rising phase test passes (Option A or B; see below). A drop from the local peak exceeds Drop % within the Lookback window. The peak occurred in profit territory (SSOPR > Top Threshold). To avoid repeated signals during the decline, the script emits the triangle once, at onset. Rising‑phase switch: Option A vs Option B • Option A — Up‑step ratio : Over the last A: Bars for Rising Check (default 50), it requires that at least A: Required Up‑Step Ratio (default 60%) of bars were rising (each bar compared to the previous). This favors gradual, persistent advances and filters out “choppy” lifts. • Option B — Net slope : Compares current SSOPR to its value B: Bars Back for Net Slope ago (default 50). If higher, the series is considered rising. This is simpler and reacts faster in volatile phases but can admit brief pseudo‑trends. Guidance : Prefer A for conservative confirmation in slow, persistent cycles; use B when trend moves are strong and you need timely detection. Interpretation guide • Regimes (log view): Above 0 → spending at profit; below 0 → spending at loss. • Capitulation lows: When Z‑score < threshold, conditions often reflect forced/liquidity‑driven spending. Treat as context, not signals. • Buy zone: SSOPR < Buy Threshold flags potential accumulation conditions (combine with price structure). • Tops: After prolonged elevation, a confirmed top often coincides with profit‑taking/distribution phases. Recommended timeframes • Daily : Code optimized for daily timeframe. Method summary • SSOPR source: GLASSNODE:BTC_SOPR (via request.security ). • Optional log transform: sopr → log(sopr) to normalize around 0. • Smoothing: SMA over Smoothing Length , optionally adaptive using local volatility (std dev). • Z‑score: (SSOPR − mean) / std dev, highlighting extreme lows. • Top: Requires long elevation above Top Threshold , rising‑phase (A/B), and a subsequent drop > Drop % from recent high. Limitations & notes • SOPR reflects on‑chain movements; some activity occurs off‑chain (exchanges, internal transfers). Not all moves imply sale; aggregation makes it a usable proxy for profit/loss realization. • Higher smoothing reduces noise but delays signals; adaptive smoothing can help but is still a trade‑off. • Treat thresholds as context markers. They are not entry/exit signals by themselves. • Use with price structure, volume, and other on‑chain indicators (e.g., realized price bands, dormancy/CDD) for confluence. How to use (examples) • Advance holding above 0 (log view): Retests of 0 from above that hold—while SSOPR remains elevated—often mark absorption; look for Top conditions only after sustained elevation and a confirmed drop from peak. • Downtrend below 0: Rejections near 0 can align with continued loss realization; extreme Z‑score lows suggest capitulation risk—context for accumulation, not a blind buy. Recommended settings • Weekly: Log ON, Smoothing Length 14–30, Adaptive ON, Buy Threshold −0.02, Top Threshold +0.005, Rising Method A, Min Bars 50. • Daily: Log ON, Smoothing Length 14–20, Adaptive OFF or ON (depending on noise), Rising Method B for timely slope checks. Credits & references • SOPR metric: Renato Shirakashi; documentation: Glassnode , CryptoQuant , overview: Bitbo . Disclaimer This script is for research/education on market behavior. It is not financial advice. Indicators provide context; decisions remain your responsibility. Tags bitcoin, btc, on‑chain, sopr, ssopr, glassnode, oscillator, regime, distribution, capitulation
Indicatore Pine Script®
di Rob_Maths
SIDD Table Volume multiframe (Modified)🚀 SIDD Volume Table – The Most Powerful Multi-Timeframe Volume Dashboard Designed by Siddhartha Mukherjee (SIDD) Free for the community. Get an unfair edge with the cleanest, fastest, and most accurate multi-timeframe volume analyzer available on TradingView. This tool reveals where buyers and sellers are truly active across multiple timeframes—helping you confirm trends, avoid traps, and enter with confidence. 🔥 Why Traders Love This Indicator ✅ 1. Multi-Timeframe Volume Domination Instantly view Buy% / Sell% / Total Volume for: 1m • 5m • 15m • 1H • 4H • 1D • 1W Choose any combination you want! ✅ 2. Advanced Buy/Sell Volume Logic Not simple volume… This tool breaks it into: Buy Volume% (green dominance) Sell Volume% (red dominance) Using candle structure (H-L-C), giving far more accurate pressure detection. ✅ 3. Realtime Candle Countdown Never guess when a candle will close again. Get: Seconds (1m) MM:SS (5m/15m/1H) DD:HH:MM:SS (4H, 1D, 1W) Perfect for scalpers, swing traders, and index traders. ✅ 4. Beautiful & Customizable Dashboard Choose position anywhere on screen Auto size or choose Tiny → Huge Color-coded Bias (Green Buyers, Red Sellers) Clean layout built for modern charts Your chart stays clean while your data stays powerful. 💡 What This Helps You Identify Where buyers are gaining strength Where sellers are dominating Multi-timeframe alignment (the key to big moves) Real reversal pressure Volume divergence across timeframes Trend confirmation before breakouts Perfect for: NIFTY / BANKNIFTY / Stocks / Crypto / FX / Commodities 🧠 Who Should Use This? Intraday traders Swing traders Options traders Futures traders Crypto scalpers Professional volume analysts If volume matters to you → this indicator becomes a must-have. 🛠 Built with Precision Non-repainting Multi-TF aligned Fast + lightweight arrays Uses BTC/ETH feed to stabilize ticks Zero chart clutter ❤️ Free for Everyone This tool is released 100% free to help the community trade with clarity and confidence. Leave a like ⭐, comment 💬, or follow if you want more such institutional-grade tools. ⚠️ Disclaimer This is for educational/analytical use only. Not financial advice. Trade at your own risk.
Indicatore Pine Script®
di bullsbearsclub
Chart Info & Signature## Overview Chart Info & Signature displays customizable information tables on your TradingView chart. It consists of two independent tables that can be positioned anywhere on the chart and fully customized to match your branding and preferences. --- ## Table 1: Market Info Table ### What It Displays The Market Info Table shows essential trading information: 1. **Exchange** - The exchange name (e.g., "BINANCE", "NASDAQ") 2. **Trading Pair** - The symbol pair (e.g., "BTC/USD", "EUR/USD") with optional timeframe 3. **Date** - Current date in DD/MM/YYYY format 4. **Signature** (optional) - Custom text that appears below the date ### Positioning - **Vertical Position**: Top, Middle, or Bottom of the chart - **Horizontal Position**: Left, Center, or Right of the chart - **Exchange Position**: Can be placed at the top or bottom of the table ### Customization Options #### Exchange Settings - Show/Hide exchange name - Text size (tiny, small, normal, large, huge, auto) - Text color - Background color - Position (top or bottom of table) #### Pair Settings - Pair delimiter (default: "/") - Text size - Text color - Background color #### Timeframe Settings - Show/Hide timeframe (displays current chart timeframe like "1h", "15m", "1D") #### Date Settings - Show/Hide date - Text size - Text color - Background color #### Signature Settings (Below Date) - Show/Hide signature - Custom text - Text size - Text color - Background color - Spacing before signature (with adjustable size) --- ## Table 2: Signature Table ### What It Displays The Signature Table displays up to 3 customizable text lines, perfect for contact information or any custom text you want to display. ### Positioning - **Vertical Position**: Top, Middle, or Bottom of the chart - **Horizontal Position**: Left, Center, or Right of the chart ### Customization Options #### Line 1 (Top Line) - Show/Hide line - Custom text - Text size - Text color - Background color - Spacing after line (with adjustable size) #### Line 2 (Middle Line) - Show/Hide line - Custom text - Text size - Text color - Background color - Spacing after line (with adjustable size) #### Line 3 (Bottom Line) - Show/Hide line - Custom text - Text size - Text color - Background color ### Smart Positioning The table automatically adjusts the spacing between lines based on which lines are visible, ensuring proper alignment regardless of which lines you choose to display. --- ## Key Features ### ✅ Fully Customizable - Every element can be shown or hidden - Individual text sizes for each element - Custom colors for text and backgrounds - Adjustable spacing between elements ### ✅ Flexible Positioning - Each table can be positioned independently - 9 possible positions per table (3 vertical × 3 horizontal) - Tables can overlap or be placed separately ### ✅ Organized Settings - Settings are organized into logical groups and subgroups - Easy to find and modify specific elements - Clean, intuitive settings panel ### ✅ Dynamic Content - Trading pair automatically updates based on chart symbol - Timeframe automatically matches current chart timeframe - Date updates in real-time - Exchange name pulled from symbol information --- ## Text Size Options All text size settings support the following options: - **tiny** - Smallest fixed size - **small** - Small fixed size - **normal** - Standard fixed size - **large** - Large fixed size - **huge** - Largest fixed size - **auto** - Automatically adjusts based on chart zoom and screen size --- ## Default Configuration - **Market Info Table**: Positioned at top-right, showing exchange, pair with timeframe, and date. Signature row in Market Info Table is hidden by default. - **Signature Table**: Positioned at bottom-right, showing 3 signature lines with added spacing between line 1 and line 2 - All text uses semi-transparent white (#ffffff77) by default - All backgrounds are transparent by default --- ## Tips 1. Use **auto** text size for elements that need to scale with chart zoom 2. Use transparent backgrounds for a clean, minimal look 3. Position tables in corners to avoid interfering with price action 4. Customize colors to match your chart theme 5. Hide elements you don't need to keep the display clean
Indicatore Pine Script®
di trader_KDI
Dimensional Resonance ProtocolDimensional Resonance Protocol 🌀 CORE INNOVATION: PHASE SPACE RECONSTRUCTION & EMERGENCE DETECTION The Dimensional Resonance Protocol represents a paradigm shift from traditional technical analysis to complexity science. Rather than measuring price levels or indicator crossovers, DRP reconstructs the hidden attractor governing market dynamics using Takens' embedding theorem, then detects emergence —the rare moments when multiple dimensions of market behavior spontaneously synchronize into coherent, predictable states. The Complexity Hypothesis: Markets are not simple oscillators or random walks—they are complex adaptive systems existing in high-dimensional phase space. Traditional indicators see only shadows (one-dimensional projections) of this higher-dimensional reality. DRP reconstructs the full phase space using time-delay embedding, revealing the true structure of market dynamics. Takens' Embedding Theorem (1981): A profound mathematical result from dynamical systems theory: Given a time series from a complex system, we can reconstruct its full phase space by creating delayed copies of the observation. Mathematical Foundation: From single observable x(t), create embedding vectors: X(t) = Where: • d = Embedding dimension (default 5) • τ = Time delay (default 3 bars) • x(t) = Price or return at time t Key Insight: If d ≥ 2D+1 (where D is the true attractor dimension), this embedding is topologically equivalent to the actual system dynamics. We've reconstructed the hidden attractor from a single price series. Why This Matters: Markets appear random in one dimension (price chart). But in reconstructed phase space, structure emerges—attractors, limit cycles, strange attractors. When we identify these structures, we can detect: • Stable regions : Predictable behavior (trade opportunities) • Chaotic regions : Unpredictable behavior (avoid trading) • Critical transitions : Phase changes between regimes Phase Space Magnitude Calculation: phase_magnitude = sqrt(Σ ² for i = 0 to d-1) This measures the "energy" or "momentum" of the market trajectory through phase space. High magnitude = strong directional move. Low magnitude = consolidation. 📊 RECURRENCE QUANTIFICATION ANALYSIS (RQA) Once phase space is reconstructed, we analyze its recurrence structure —when does the system return near previous states? Recurrence Plot Foundation: A recurrence occurs when two phase space points are closer than threshold ε: R(i,j) = 1 if ||X(i) - X(j)|| < ε, else 0 This creates a binary matrix showing when the system revisits similar states. Key RQA Metrics: 1. Recurrence Rate (RR): RR = (Number of recurrent points) / (Total possible pairs) • RR near 0: System never repeats (highly stochastic) • RR = 0.1-0.3: Moderate recurrence (tradeable patterns) • RR > 0.5: System stuck in attractor (ranging market) • RR near 1: System frozen (no dynamics) Interpretation: Moderate recurrence is optimal —patterns exist but market isn't stuck. 2. Determinism (DET): Measures what fraction of recurrences form diagonal structures in the recurrence plot. Diagonals indicate deterministic evolution (trajectory follows predictable paths). DET = (Recurrence points on diagonals) / (Total recurrence points) • DET < 0.3: Random dynamics • DET = 0.3-0.7: Moderate determinism (patterns with noise) • DET > 0.7: Strong determinism (technical patterns reliable) Trading Implication: Signals are prioritized when DET > 0.3 (deterministic state) and RR is moderate (not stuck). Threshold Selection (ε): Default ε = 0.10 × std_dev means two states are "recurrent" if within 10% of a standard deviation. This is tight enough to require genuine similarity but loose enough to find patterns. 🔬 PERMUTATION ENTROPY: COMPLEXITY MEASUREMENT Permutation entropy measures the complexity of a time series by analyzing the distribution of ordinal patterns. Algorithm (Bandt & Pompe, 2002): 1. Take overlapping windows of length n (default n=4) 2. For each window, record the rank order pattern Example: → pattern (ranks from lowest to highest) 3. Count frequency of each possible pattern 4. Calculate Shannon entropy of pattern distribution Mathematical Formula: H_perm = -Σ p(π) · ln(p(π)) Where π ranges over all n! possible permutations, p(π) is the probability of pattern π. Normalized to : H_norm = H_perm / ln(n!) Interpretation: • H < 0.3 : Very ordered, crystalline structure (strong trending) • H = 0.3-0.5 : Ordered regime (tradeable with patterns) • H = 0.5-0.7 : Moderate complexity (mixed conditions) • H = 0.7-0.85 : Complex dynamics (challenging to trade) • H > 0.85 : Maximum entropy (nearly random, avoid) Entropy Regime Classification: DRP classifies markets into five entropy regimes: • CRYSTALLINE (H < 0.3): Maximum order, persistent trends • ORDERED (H < 0.5): Clear patterns, momentum strategies work • MODERATE (H < 0.7): Mixed dynamics, adaptive required • COMPLEX (H < 0.85): High entropy, mean reversion better • CHAOTIC (H ≥ 0.85): Near-random, minimize trading Why Permutation Entropy? Unlike traditional entropy methods requiring binning continuous data (losing information), permutation entropy: • Works directly on time series • Robust to monotonic transformations • Computationally efficient • Captures temporal structure, not just distribution • Immune to outliers (uses ranks, not values) ⚡ LYAPUNOV EXPONENT: CHAOS vs STABILITY The Lyapunov exponent λ measures sensitivity to initial conditions —the hallmark of chaos. Physical Meaning: Two trajectories starting infinitely close will diverge at exponential rate e^(λt): Distance(t) ≈ Distance(0) × e^(λt) Interpretation: • λ > 0 : Positive Lyapunov exponent = CHAOS - Small errors grow exponentially - Long-term prediction impossible - System is sensitive, unpredictable - AVOID TRADING • λ ≈ 0 : Near-zero = CRITICAL STATE - Edge of chaos - Transition zone between order and disorder - Moderate predictability - PROCEED WITH CAUTION • λ < 0 : Negative Lyapunov exponent = STABLE - Small errors decay - Trajectories converge - System is predictable - OPTIMAL FOR TRADING Estimation Method: DRP estimates λ by tracking how quickly nearby states diverge over a rolling window (default 20 bars): For each bar i in window: δ₀ = |x - x | (initial separation) δ₁ = |x - x | (previous separation) if δ₁ > 0: ratio = δ₀ / δ₁ log_ratios += ln(ratio) λ ≈ average(log_ratios) Stability Classification: • STABLE : λ < 0 (negative growth rate) • CRITICAL : |λ| < 0.1 (near neutral) • CHAOTIC : λ > 0.2 (strong positive growth) Signal Filtering: By default, NEXUS requires λ < 0 (stable regime) for signal confirmation. This filters out trades during chaotic periods when technical patterns break down. 📐 HIGUCHI FRACTAL DIMENSION Fractal dimension measures self-similarity and complexity of the price trajectory. Theoretical Background: A curve's fractal dimension D ranges from 1 (smooth line) to 2 (space-filling curve): • D ≈ 1.0 : Smooth, persistent trending • D ≈ 1.5 : Random walk (Brownian motion) • D ≈ 2.0 : Highly irregular, space-filling Higuchi Method (1988): For a time series of length N, construct k different curves by taking every k-th point: L(k) = (1/k) × Σ|x - x | × (N-1)/(⌊(N-m)/k⌋ × k) For different values of k (1 to k_max), calculate L(k). The fractal dimension is the slope of log(L(k)) vs log(1/k): D = slope of log(L) vs log(1/k) Market Interpretation: • D < 1.35 : Strong trending, persistent (Hurst > 0.5) - TRENDING regime - Momentum strategies favored - Breakouts likely to continue • D = 1.35-1.45 : Moderate persistence - PERSISTENT regime - Trend-following with caution - Patterns have meaning • D = 1.45-1.55 : Random walk territory - RANDOM regime - Efficiency hypothesis holds - Technical analysis least reliable • D = 1.55-1.65 : Anti-persistent (mean-reverting) - ANTI-PERSISTENT regime - Oscillator strategies work - Overbought/oversold meaningful • D > 1.65 : Highly complex, choppy - COMPLEX regime - Avoid directional bets - Wait for regime change Signal Filtering: Resonance signals (secondary signal type) require D < 1.5, indicating trending or persistent dynamics where momentum has meaning. 🔗 TRANSFER ENTROPY: CAUSAL INFORMATION FLOW Transfer entropy measures directed causal influence between time series—not just correlation, but actual information transfer. Schreiber's Definition (2000): Transfer entropy from X to Y measures how much knowing X's past reduces uncertainty about Y's future: TE(X→Y) = H(Y_future | Y_past) - H(Y_future | Y_past, X_past) Where H is Shannon entropy. Key Properties: 1. Directional : TE(X→Y) ≠ TE(Y→X) in general 2. Non-linear : Detects complex causal relationships 3. Model-free : No assumptions about functional form 4. Lag-independent : Captures delayed causal effects Three Causal Flows Measured: 1. Volume → Price (TE_V→P): Measures how much volume patterns predict price changes. • TE > 0 : Volume provides predictive information about price - Institutional participation driving moves - Volume confirms direction - High reliability • TE ≈ 0 : No causal flow (weak volume/price relationship) - Volume uninformative - Caution on signals • TE < 0 (rare): Suggests price leading volume - Potentially manipulated or thin market 2. Volatility → Momentum (TE_σ→M): Does volatility expansion predict momentum changes? • Positive TE : Volatility precedes momentum shifts - Breakout dynamics - Regime transitions 3. Structure → Price (TE_S→P): Do support/resistance patterns causally influence price? • Positive TE : Structural levels have causal impact - Technical levels matter - Market respects structure Net Causal Flow: Net_Flow = TE_V→P + 0.5·TE_σ→M + TE_S→P • Net > +0.1 : Bullish causal structure • Net < -0.1 : Bearish causal structure • |Net| < 0.1 : Neutral/unclear causation Causal Gate: For signal confirmation, NEXUS requires: • Buy signals : TE_V→P > 0 AND Net_Flow > 0.05 • Sell signals : TE_V→P > 0 AND Net_Flow < -0.05 This ensures volume is actually driving price (causal support exists), not just correlated noise. Implementation Note: Computing true transfer entropy requires discretizing continuous data into bins (default 6 bins) and estimating joint probability distributions. NEXUS uses a hybrid approach combining TE theory with autocorrelation structure and lagged cross-correlation to approximate information transfer in computationally efficient manner. 🌊 HILBERT PHASE COHERENCE Phase coherence measures synchronization across market dimensions using Hilbert transform analysis. Hilbert Transform Theory: For a signal x(t), the Hilbert transform H (t) creates an analytic signal: z(t) = x(t) + i·H (t) = A(t)·e^(iφ(t)) Where: • A(t) = Instantaneous amplitude • φ(t) = Instantaneous phase Instantaneous Phase: φ(t) = arctan(H (t) / x(t)) The phase represents where the signal is in its natural cycle—analogous to position on a unit circle. Four Dimensions Analyzed: 1. Momentum Phase : Phase of price rate-of-change 2. Volume Phase : Phase of volume intensity 3. Volatility Phase : Phase of ATR cycles 4. Structure Phase : Phase of position within range Phase Locking Value (PLV): For two signals with phases φ₁(t) and φ₂(t), PLV measures phase synchronization: PLV = |⟨e^(i(φ₁(t) - φ₂(t)))⟩| Where ⟨·⟩ is time average over window. Interpretation: • PLV = 0 : Completely random phase relationship (no synchronization) • PLV = 0.5 : Moderate phase locking • PLV = 1 : Perfect synchronization (phases locked) Pairwise PLV Calculations: • PLV_momentum-volume : Are momentum and volume cycles synchronized? • PLV_momentum-structure : Are momentum cycles aligned with structure? • PLV_volume-structure : Are volume and structural patterns in phase? Overall Phase Coherence: Coherence = (PLV_mom-vol + PLV_mom-struct + PLV_vol-struct) / 3 Signal Confirmation: Emergence signals require coherence ≥ threshold (default 0.70): • Below 0.70: Dimensions not synchronized, no coherent market state • Above 0.70: Dimensions in phase, coherent behavior emerging Coherence Direction: The summed phase angles indicate whether synchronized dimensions point bullish or bearish: Direction = sin(φ_momentum) + 0.5·sin(φ_volume) + 0.5·sin(φ_structure) • Direction > 0 : Phases pointing upward (bullish synchronization) • Direction < 0 : Phases pointing downward (bearish synchronization) 🌀 EMERGENCE SCORE: MULTI-DIMENSIONAL ALIGNMENT The emergence score aggregates all complexity metrics into a single 0-1 value representing market coherence. Eight Components with Weights: 1. Phase Coherence (20%): Direct contribution: coherence × 0.20 Measures dimensional synchronization. 2. Entropy Regime (15%): Contribution: (0.6 - H_perm) / 0.6 × 0.15 if H < 0.6, else 0 Rewards low entropy (ordered, predictable states). 3. Lyapunov Stability (12%): • λ < 0 (stable): +0.12 • |λ| < 0.1 (critical): +0.08 • λ > 0.2 (chaotic): +0.0 Requires stable, predictable dynamics. 4. Fractal Dimension Trending (12%): Contribution: (1.45 - D) / 0.45 × 0.12 if D < 1.45, else 0 Rewards trending fractal structure (D < 1.45). 5. Dimensional Resonance (12%): Contribution: |dimensional_resonance| × 0.12 Measures alignment across momentum, volume, structure, volatility dimensions. 6. Causal Flow Strength (9%): Contribution: |net_causal_flow| × 0.09 Rewards strong causal relationships. 7. Phase Space Embedding (10%): Contribution: min(|phase_magnitude_norm|, 3.0) / 3.0 × 0.10 if |magnitude| > 1.0 Rewards strong trajectory in reconstructed phase space. 8. Recurrence Quality (10%): Contribution: determinism × 0.10 if DET > 0.3 AND 0.1 < RR < 0.8 Rewards deterministic patterns with moderate recurrence. Total Emergence Score: E = Σ(components) ∈ Capped at 1.0 maximum. Emergence Direction: Separate calculation determining bullish vs bearish: • Dimensional resonance sign • Net causal flow sign • Phase magnitude correlation with momentum Signal Threshold: Default emergence_threshold = 0.75 means 75% of maximum possible emergence score required to trigger signals. Why Emergence Matters: Traditional indicators measure single dimensions. Emergence detects self-organization —when multiple independent dimensions spontaneously align. This is the market equivalent of a phase transition in physics, where microscopic chaos gives way to macroscopic order. These are the highest-probability trade opportunities because the entire system is resonating in the same direction. 🎯 SIGNAL GENERATION: EMERGENCE vs RESONANCE DRP generates two tiers of signals with different requirements: TIER 1: EMERGENCE SIGNALS (Primary) Requirements: 1. Emergence score ≥ threshold (default 0.75) 2. Phase coherence ≥ threshold (default 0.70) 3. Emergence direction > 0.2 (bullish) or < -0.2 (bearish) 4. Causal gate passed (if enabled): TE_V→P > 0 and net_flow confirms direction 5. Stability zone (if enabled): λ < 0 or |λ| < 0.1 6. Price confirmation: Close > open (bulls) or close < open (bears) 7. Cooldown satisfied: bars_since_signal ≥ cooldown_period EMERGENCE BUY: • All above conditions met with bullish direction • Market has achieved coherent bullish state • Multiple dimensions synchronized upward EMERGENCE SELL: • All above conditions met with bearish direction • Market has achieved coherent bearish state • Multiple dimensions synchronized downward Premium Emergence: When signal_quality (emergence_score × phase_coherence) > 0.7: • Displayed as ★ star symbol • Highest conviction trades • Maximum dimensional alignment Standard Emergence: When signal_quality 0.5-0.7: • Displayed as ◆ diamond symbol • Strong signals but not perfect alignment TIER 2: RESONANCE SIGNALS (Secondary) Requirements: 1. Dimensional resonance > +0.6 (bullish) or < -0.6 (bearish) 2. Fractal dimension < 1.5 (trending/persistent regime) 3. Price confirmation matches direction 4. NOT in chaotic regime (λ < 0.2) 5. Cooldown satisfied 6. NO emergence signal firing (resonance is fallback) RESONANCE BUY: • Dimensional alignment without full emergence • Trending fractal structure • Moderate conviction RESONANCE SELL: • Dimensional alignment without full emergence • Bearish resonance with trending structure • Moderate conviction Displayed as small ▲/▼ triangles with transparency. Signal Hierarchy: IF emergence conditions met: Fire EMERGENCE signal (★ or ◆) ELSE IF resonance conditions met: Fire RESONANCE signal (▲ or ▼) ELSE: No signal Cooldown System: After any signal fires, cooldown_period (default 5 bars) must elapse before next signal. This prevents signal clustering during persistent conditions. Cooldown tracks using bar_index: bars_since_signal = current_bar_index - last_signal_bar_index cooldown_ok = bars_since_signal >= cooldown_period 🎨 VISUAL SYSTEM: MULTI-LAYER COMPLEXITY DRP provides rich visual feedback across four distinct layers: LAYER 1: COHERENCE FIELD (Background) Colored background intensity based on phase coherence: • No background : Coherence < 0.5 (incoherent state) • Faint glow : Coherence 0.5-0.7 (building coherence) • Stronger glow : Coherence > 0.7 (coherent state) Color: • Cyan/teal: Bullish coherence (direction > 0) • Red/magenta: Bearish coherence (direction < 0) • Blue: Neutral coherence (direction ≈ 0) Transparency: 98 minus (coherence_intensity × 10), so higher coherence = more visible. LAYER 2: STABILITY/CHAOS ZONES Background color indicating Lyapunov regime: • Green tint (95% transparent): λ < 0, STABLE zone - Safe to trade - Patterns meaningful • Gold tint (90% transparent): |λ| < 0.1, CRITICAL zone - Edge of chaos - Moderate risk • Red tint (85% transparent): λ > 0.2, CHAOTIC zone - Avoid trading - Unpredictable behavior LAYER 3: DIMENSIONAL RIBBONS Three EMAs representing dimensional structure: • Fast ribbon : EMA(8) in cyan/teal (fast dynamics) • Medium ribbon : EMA(21) in blue (intermediate) • Slow ribbon : EMA(55) in red/magenta (slow dynamics) Provides visual reference for multi-scale structure without cluttering with raw phase space data. LAYER 4: CAUSAL FLOW LINE A thicker line plotted at EMA(13) colored by net causal flow: • Cyan/teal : Net_flow > +0.1 (bullish causation) • Red/magenta : Net_flow < -0.1 (bearish causation) • Gray : |Net_flow| < 0.1 (neutral causation) Shows real-time direction of information flow. EMERGENCE FLASH: Strong background flash when emergence signals fire: • Cyan flash for emergence buy • Red flash for emergence sell • 80% transparency for visibility without obscuring price 📊 COMPREHENSIVE DASHBOARD Real-time monitoring of all complexity metrics: HEADER: • 🌀 DRP branding with gold accent CORE METRICS: EMERGENCE: • Progress bar (█ filled, ░ empty) showing 0-100% • Percentage value • Direction arrow (↗ bull, ↘ bear, → neutral) • Color-coded: Green/gold if active, gray if low COHERENCE: • Progress bar showing phase locking value • Percentage value • Checkmark ✓ if ≥ threshold, circle ○ if below • Color-coded: Cyan if coherent, gray if not COMPLEXITY SECTION: ENTROPY: • Regime name (CRYSTALLINE/ORDERED/MODERATE/COMPLEX/CHAOTIC) • Numerical value (0.00-1.00) • Color: Green (ordered), gold (moderate), red (chaotic) LYAPUNOV: • State (STABLE/CRITICAL/CHAOTIC) • Numerical value (typically -0.5 to +0.5) • Status indicator: ● stable, ◐ critical, ○ chaotic • Color-coded by state FRACTAL: • Regime (TRENDING/PERSISTENT/RANDOM/ANTI-PERSIST/COMPLEX) • Dimension value (1.0-2.0) • Color: Cyan (trending), gold (random), red (complex) PHASE-SPACE: • State (STRONG/ACTIVE/QUIET) • Normalized magnitude value • Parameters display: d=5 τ=3 CAUSAL SECTION: CAUSAL: • Direction (BULL/BEAR/NEUTRAL) • Net flow value • Flow indicator: →P (to price), P← (from price), ○ (neutral) V→P: • Volume-to-price transfer entropy • Small display showing specific TE value DIMENSIONAL SECTION: RESONANCE: • Progress bar of absolute resonance • Signed value (-1 to +1) • Color-coded by direction RECURRENCE: • Recurrence rate percentage • Determinism percentage display • Color-coded: Green if high quality STATE SECTION: STATE: • Current mode: EMERGENCE / RESONANCE / CHAOS / SCANNING • Icon: 🚀 (emergence buy), 💫 (emergence sell), ▲ (resonance buy), ▼ (resonance sell), ⚠ (chaos), ◎ (scanning) • Color-coded by state SIGNALS: • E: count of emergence signals • R: count of resonance signals ⚙️ KEY PARAMETERS EXPLAINED Phase Space Configuration: • Embedding Dimension (3-10, default 5): Reconstruction dimension - Low (3-4): Simple dynamics, faster computation - Medium (5-6): Balanced (recommended) - High (7-10): Complex dynamics, more data needed - Rule: d ≥ 2D+1 where D is true dimension • Time Delay (τ) (1-10, default 3): Embedding lag - Fast markets: 1-2 - Normal: 3-4 - Slow markets: 5-10 - Optimal: First minimum of mutual information (often 2-4) • Recurrence Threshold (ε) (0.01-0.5, default 0.10): Phase space proximity - Tight (0.01-0.05): Very similar states only - Medium (0.08-0.15): Balanced - Loose (0.20-0.50): Liberal matching Entropy & Complexity: • Permutation Order (3-7, default 4): Pattern length - Low (3): 6 patterns, fast but coarse - Medium (4-5): 24-120 patterns, balanced - High (6-7): 720-5040 patterns, fine-grained - Note: Requires window >> order! for stability • Entropy Window (15-100, default 30): Lookback for entropy - Short (15-25): Responsive to changes - Medium (30-50): Stable measure - Long (60-100): Very smooth, slow adaptation • Lyapunov Window (10-50, default 20): Stability estimation window - Short (10-15): Fast chaos detection - Medium (20-30): Balanced - Long (40-50): Stable λ estimate Causal Inference: • Enable Transfer Entropy (default ON): Causality analysis - Keep ON for full system functionality • TE History Length (2-15, default 5): Causal lookback - Short (2-4): Quick causal detection - Medium (5-8): Balanced - Long (10-15): Deep causal analysis • TE Discretization Bins (4-12, default 6): Binning granularity - Few (4-5): Coarse, robust, needs less data - Medium (6-8): Balanced - Many (9-12): Fine-grained, needs more data Phase Coherence: • Enable Phase Coherence (default ON): Synchronization detection - Keep ON for emergence detection • Coherence Threshold (0.3-0.95, default 0.70): PLV requirement - Loose (0.3-0.5): More signals, lower quality - Balanced (0.6-0.75): Recommended - Strict (0.8-0.95): Rare, highest quality • Hilbert Smoothing (3-20, default 8): Phase smoothing - Low (3-5): Responsive, noisier - Medium (6-10): Balanced - High (12-20): Smooth, more lag Fractal Analysis: • Enable Fractal Dimension (default ON): Complexity measurement - Keep ON for full analysis • Fractal K-max (4-20, default 8): Scaling range - Low (4-6): Faster, less accurate - Medium (7-10): Balanced - High (12-20): Accurate, slower • Fractal Window (30-200, default 50): FD lookback - Short (30-50): Responsive FD - Medium (60-100): Stable FD - Long (120-200): Very smooth FD Emergence Detection: • Emergence Threshold (0.5-0.95, default 0.75): Minimum coherence - Sensitive (0.5-0.65): More signals - Balanced (0.7-0.8): Recommended - Strict (0.85-0.95): Rare signals • Require Causal Gate (default ON): TE confirmation - ON: Only signal when causality confirms - OFF: Allow signals without causal support • Require Stability Zone (default ON): Lyapunov filter - ON: Only signal when λ < 0 (stable) or |λ| < 0.1 (critical) - OFF: Allow signals in chaotic regimes (risky) • Signal Cooldown (1-50, default 5): Minimum bars between signals - Fast (1-3): Rapid signal generation - Normal (4-8): Balanced - Slow (10-20): Very selective - Ultra (25-50): Only major regime changes Signal Configuration: • Momentum Period (5-50, default 14): ROC calculation • Structure Lookback (10-100, default 20): Support/resistance range • Volatility Period (5-50, default 14): ATR calculation • Volume MA Period (10-50, default 20): Volume normalization Visual Settings: • Customizable color scheme for all elements • Toggle visibility for each layer independently • Dashboard position (4 corners) and size (tiny/small/normal) 🎓 PROFESSIONAL USAGE PROTOCOL Phase 1: System Familiarization (Week 1) Goal: Understand complexity metrics and dashboard interpretation Setup: • Enable all features with default parameters • Watch dashboard metrics for 500+ bars • Do NOT trade yet Actions: • Observe emergence score patterns relative to price moves • Note coherence threshold crossings and subsequent price action • Watch entropy regime transitions (ORDERED → COMPLEX → CHAOTIC) • Correlate Lyapunov state with signal reliability • Track which signals appear (emergence vs resonance frequency) Key Learning: • When does emergence peak? (usually before major moves) • What entropy regime produces best signals? (typically ORDERED or MODERATE) • Does your instrument respect stability zones? (stable λ = better signals) Phase 2: Parameter Optimization (Week 2) Goal: Tune system to instrument characteristics Requirements: • Understand basic dashboard metrics from Phase 1 • Have 1000+ bars of history loaded Embedding Dimension & Time Delay: • If signals very rare: Try lower dimension (d=3-4) or shorter delay (τ=2) • If signals too frequent: Try higher dimension (d=6-7) or longer delay (τ=4-5) • Sweet spot: 4-8 emergence signals per 100 bars Coherence Threshold: • Check dashboard: What's typical coherence range? • If coherence rarely exceeds 0.70: Lower threshold to 0.60-0.65 • If coherence often >0.80: Can raise threshold to 0.75-0.80 • Goal: Signals fire during top 20-30% of coherence values Emergence Threshold: • If too few signals: Lower to 0.65-0.70 • If too many signals: Raise to 0.80-0.85 • Balance with coherence threshold—both must be met Phase 3: Signal Quality Assessment (Weeks 3-4) Goal: Verify signals have edge via paper trading Requirements: • Parameters optimized per Phase 2 • 50+ signals generated • Detailed notes on each signal Paper Trading Protocol: • Take EVERY emergence signal (★ and ◆) • Optional: Take resonance signals (▲/▼) separately to compare • Use simple exit: 2R target, 1R stop (ATR-based) • Track: Win rate, average R-multiple, maximum consecutive losses Quality Metrics: • Premium emergence (★) : Should achieve >55% WR • Standard emergence (◆) : Should achieve >50% WR • Resonance signals : Should achieve >45% WR • Overall : If <45% WR, system not suitable for this instrument/timeframe Red Flags: • Win rate <40%: Wrong instrument or parameters need major adjustment • Max consecutive losses >10: System not working in current regime • Profit factor <1.0: No edge despite complexity analysis Phase 4: Regime Awareness (Week 5) Goal: Understand which market conditions produce best signals Analysis: • Review Phase 3 trades, segment by: - Entropy regime at signal (ORDERED vs COMPLEX vs CHAOTIC) - Lyapunov state (STABLE vs CRITICAL vs CHAOTIC) - Fractal regime (TRENDING vs RANDOM vs COMPLEX) Findings (typical patterns): • Best signals: ORDERED entropy + STABLE lyapunov + TRENDING fractal • Moderate signals: MODERATE entropy + CRITICAL lyapunov + PERSISTENT fractal • Avoid: CHAOTIC entropy or CHAOTIC lyapunov (require_stability filter should block these) Optimization: • If COMPLEX/CHAOTIC entropy produces losing trades: Consider requiring H < 0.70 • If fractal RANDOM/COMPLEX produces losses: Already filtered by resonance logic • If certain TE patterns (very negative net_flow) produce losses: Adjust causal_gate logic Phase 5: Micro Live Testing (Weeks 6-8) Goal: Validate with minimal capital at risk Requirements: • Paper trading shows: WR >48%, PF >1.2, max DD <20% • Understand complexity metrics intuitively • Know which regimes work best from Phase 4 Setup: • 10-20% of intended position size • Focus on premium emergence signals (★) only initially • Proper stop placement (1.5-2.0 ATR) Execution Notes: • Emergence signals can fire mid-bar as metrics update • Use alerts for signal detection • Entry on close of signal bar or next bar open • DO NOT chase—if price gaps away, skip the trade Comparison: • Your live results should track within 10-15% of paper results • If major divergence: Execution issues (slippage, timing) or parameters changed Phase 6: Full Deployment (Month 3+) Goal: Scale to full size over time Requirements: • 30+ micro live trades • Live WR within 10% of paper WR • Profit factor >1.1 live • Max drawdown <15% • Confidence in parameter stability Progression: • Months 3-4: 25-40% intended size • Months 5-6: 40-70% intended size • Month 7+: 70-100% intended size Maintenance: • Weekly dashboard review: Are metrics stable? • Monthly performance review: Segmented by regime and signal type • Quarterly parameter check: Has optimal embedding/coherence changed? Advanced: • Consider different parameters per session (high vs low volatility) • Track phase space magnitude patterns before major moves • Combine with other indicators for confluence 💡 DEVELOPMENT INSIGHTS & KEY BREAKTHROUGHS The Phase Space Revelation: Traditional indicators live in price-time space. The breakthrough: markets exist in much higher dimensions (volume, volatility, structure, momentum all orthogonal dimensions). Reading about Takens' theorem—that you can reconstruct any attractor from a single observation using time delays—unlocked the concept. Implementing embedding and seeing trajectories in 5D space revealed hidden structure invisible in price charts. Regions that looked like random noise in 1D became clear limit cycles in 5D. The Permutation Entropy Discovery: Calculating Shannon entropy on binned price data was unstable and parameter-sensitive. Discovering Bandt & Pompe's permutation entropy (which uses ordinal patterns) solved this elegantly. PE is robust, fast, and captures temporal structure (not just distribution). Testing showed PE < 0.5 periods had 18% higher signal win rate than PE > 0.7 periods. Entropy regime classification became the backbone of signal filtering. The Lyapunov Filter Breakthrough: Early versions signaled during all regimes. Win rate hovered at 42%—barely better than random. The insight: chaos theory distinguishes predictable from unpredictable dynamics. Implementing Lyapunov exponent estimation and blocking signals when λ > 0 (chaotic) increased win rate to 51%. Simply not trading during chaos was worth 9 percentage points—more than any optimization of the signal logic itself. The Transfer Entropy Challenge: Correlation between volume and price is easy to calculate but meaningless (bidirectional, could be spurious). Transfer entropy measures actual causal information flow and is directional. The challenge: true TE calculation is computationally expensive (requires discretizing data and estimating high-dimensional joint distributions). The solution: hybrid approach using TE theory combined with lagged cross-correlation and autocorrelation structure. Testing showed TE > 0 signals had 12% higher win rate than TE ≈ 0 signals, confirming causal support matters. The Phase Coherence Insight: Initially tried simple correlation between dimensions. Not predictive. Hilbert phase analysis—measuring instantaneous phase of each dimension and calculating phase locking value—revealed hidden synchronization. When PLV > 0.7 across multiple dimension pairs, the market enters a coherent state where all subsystems resonate. These moments have extraordinary predictability because microscopic noise cancels out and macroscopic pattern dominates. Emergence signals require high PLV for this reason. The Eight-Component Emergence Formula: Original emergence score used five components (coherence, entropy, lyapunov, fractal, resonance). Performance was good but not exceptional. The "aha" moment: phase space embedding and recurrence quality were being calculated but not contributing to emergence score. Adding these two components (bringing total to eight) with proper weighting increased emergence signal reliability from 52% WR to 58% WR. All calculated metrics must contribute to the final score. If you compute something, use it. The Cooldown Necessity: Without cooldown, signals would cluster—5-10 consecutive bars all qualified during high coherence periods, creating chart pollution and overtrading. Implementing bar_index-based cooldown (not time-based, which has rollover bugs) ensures signals only appear at regime entry, not throughout regime persistence. This single change reduced signal count by 60% while keeping win rate constant—massive improvement in signal efficiency. 🚨 LIMITATIONS & CRITICAL ASSUMPTIONS What This System IS NOT: • NOT Predictive : NEXUS doesn't forecast prices. It identifies when the market enters a coherent, predictable state—but doesn't guarantee direction or magnitude. • NOT Holy Grail : Typical performance is 50-58% win rate with 1.5-2.0 avg R-multiple. This is probabilistic edge from complexity analysis, not certainty. • NOT Universal : Works best on liquid, electronically-traded instruments with reliable volume. Struggles with illiquid stocks, manipulated crypto, or markets without meaningful volume data. • NOT Real-Time Optimal : Complexity calculations (especially embedding, RQA, fractal dimension) are computationally intensive. Dashboard updates may lag by 1-2 seconds on slower connections. • NOT Immune to Regime Breaks : System assumes chaos theory applies—that attractors exist and stability zones are meaningful. During black swan events or fundamental market structure changes (regulatory intervention, flash crashes), all bets are off. Core Assumptions: 1. Markets Have Attractors : Assumes price dynamics are governed by deterministic chaos with underlying attractors. Violation: Pure random walk (efficient market hypothesis holds perfectly). 2. Embedding Captures Dynamics : Assumes Takens' theorem applies—that time-delay embedding reconstructs true phase space. Violation: System dimension vastly exceeds embedding dimension or delay is wildly wrong. 3. Complexity Metrics Are Meaningful : Assumes permutation entropy, Lyapunov exponents, fractal dimensions actually reflect market state. Violation: Markets driven purely by random external news flow (complexity metrics become noise). 4. Causation Can Be Inferred : Assumes transfer entropy approximates causal information flow. Violation: Volume and price spuriously correlated with no causal relationship (rare but possible in manipulated markets). 5. Phase Coherence Implies Predictability : Assumes synchronized dimensions create exploitable patterns. Violation: Coherence by chance during random period (false positive). 6. Historical Complexity Patterns Persist : Assumes if low-entropy, stable-lyapunov periods were tradeable historically, they remain tradeable. Violation: Fundamental regime change (market structure shifts, e.g., transition from floor trading to HFT). Performs Best On: • ES, NQ, RTY (major US index futures - high liquidity, clean volume data) • Major forex pairs: EUR/USD, GBP/USD, USD/JPY (24hr markets, good for phase analysis) • Liquid commodities: CL (crude oil), GC (gold), NG (natural gas) • Large-cap stocks: AAPL, MSFT, GOOGL, TSLA (>$10M daily volume, meaningful structure) • Major crypto on reputable exchanges: BTC, ETH on Coinbase/Kraken (avoid Binance due to manipulation) Performs Poorly On: • Low-volume stocks (<$1M daily volume) - insufficient liquidity for complexity analysis • Exotic forex pairs - erratic spreads, thin volume • Illiquid altcoins - wash trading, bot manipulation invalidates volume analysis • Pre-market/after-hours - gappy, thin, different dynamics • Binary events (earnings, FDA approvals) - discontinuous jumps violate dynamical systems assumptions • Highly manipulated instruments - spoofing and layering create false coherence Known Weaknesses: • Computational Lag : Complexity calculations require iterating over windows. On slow connections, dashboard may update 1-2 seconds after bar close. Signals may appear delayed. • Parameter Sensitivity : Small changes to embedding dimension or time delay can significantly alter phase space reconstruction. Requires careful calibration per instrument. • Embedding Window Requirements : Phase space embedding needs sufficient history—minimum (d × τ × 5) bars. If embedding_dimension=5 and time_delay=3, need 75+ bars. Early bars will be unreliable. • Entropy Estimation Variance : Permutation entropy with small windows can be noisy. Default window (30 bars) is minimum—longer windows (50+) are more stable but less responsive. • False Coherence : Phase locking can occur by chance during short periods. Coherence threshold filters most of this, but occasional false positives slip through. • Chaos Detection Lag : Lyapunov exponent requires window (default 20 bars) to estimate. Market can enter chaos and produce bad signal before λ > 0 is detected. Stability filter helps but doesn't eliminate this. • Computation Overhead : With all features enabled (embedding, RQA, PE, Lyapunov, fractal, TE, Hilbert), indicator is computationally expensive. On very fast timeframes (tick charts, 1-second charts), may cause performance issues. ⚠️ RISK DISCLOSURE Trading futures, forex, stocks, options, and cryptocurrencies involves substantial risk of loss and is not suitable for all investors. Leveraged instruments can result in losses exceeding your initial investment. Past performance, whether backtested or live, is not indicative of future results. The Dimensional Resonance Protocol, including its phase space reconstruction, complexity analysis, and emergence detection algorithms, is provided for educational and research purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any security or instrument. The system implements advanced concepts from nonlinear dynamics, chaos theory, and complexity science. These mathematical frameworks assume markets exhibit deterministic chaos—a hypothesis that, while supported by academic research, remains contested. Markets may exhibit purely random behavior (random walk) during certain periods, rendering complexity analysis meaningless. Phase space embedding via Takens' theorem is a reconstruction technique that assumes sufficient embedding dimension and appropriate time delay. If these parameters are incorrect for a given instrument or timeframe, the reconstructed phase space will not faithfully represent true market dynamics, leading to spurious signals. Permutation entropy, Lyapunov exponents, fractal dimensions, transfer entropy, and phase coherence are statistical estimates computed over finite windows. All have inherent estimation error. Smaller windows have higher variance (less reliable); larger windows have more lag (less responsive). There is no universally optimal window size. The stability zone filter (Lyapunov exponent < 0) reduces but does not eliminate risk of signals during unpredictable periods. Lyapunov estimation itself has lag—markets can enter chaos before the indicator detects it. Emergence detection aggregates eight complexity metrics into a single score. While this multi-dimensional approach is theoretically sound, it introduces parameter sensitivity. Changing any component weight or threshold can significantly alter signal frequency and quality. Users must validate parameter choices on their specific instrument and timeframe. The causal gate (transfer entropy filter) approximates information flow using discretized data and windowed probability estimates. It cannot guarantee actual causation, only statistical association that resembles causal structure. Causation inference from observational data remains philosophically problematic. Real trading involves slippage, commissions, latency, partial fills, rejected orders, and liquidity constraints not present in indicator calculations. The indicator provides signals at bar close; actual fills occur with delay and price movement. Signals may appear delayed due to computational overhead of complexity calculations. Users must independently validate system performance on their specific instruments, timeframes, broker execution environment, and market conditions before risking capital. Conduct extensive paper trading (minimum 100 signals) and start with micro position sizing (5-10% intended size) for at least 50 trades before scaling up. Never risk more capital than you can afford to lose completely. Use proper position sizing (0.5-2% risk per trade maximum). Implement stop losses on every trade. Maintain adequate margin/capital reserves. Understand that most retail traders lose money. Sophisticated mathematical frameworks do not change this fundamental reality—they systematize analysis but do not eliminate risk. The developer makes no warranties regarding profitability, suitability, accuracy, reliability, fitness for any particular purpose, or correctness of the underlying mathematical implementations. Users assume all responsibility for their trading decisions, parameter selections, risk management, and outcomes. By using this indicator, you acknowledge that you have read, understood, and accepted these risk disclosures and limitations, and you accept full responsibility for all trading activity and potential losses. 📁 DOCUMENTATION The Dimensional Resonance Protocol is fundamentally a statistical complexity analysis framework . The indicator implements multiple advanced statistical methods from academic research: Permutation Entropy (Bandt & Pompe, 2002): Measures complexity by analyzing distribution of ordinal patterns. Pure statistical concept from information theory. Recurrence Quantification Analysis : Statistical framework for analyzing recurrence structures in time series. Computes recurrence rate, determinism, and diagonal line statistics. Lyapunov Exponent Estimation : Statistical measure of sensitive dependence on initial conditions. Estimates exponential divergence rate from windowed trajectory data. Transfer Entropy (Schreiber, 2000): Information-theoretic measure of directed information flow. Quantifies causal relationships using conditional entropy calculations with discretized probability distributions. Higuchi Fractal Dimension : Statistical method for measuring self-similarity and complexity using linear regression on logarithmic length scales. Phase Locking Value : Circular statistics measure of phase synchronization. Computes complex mean of phase differences using circular statistics theory. The emergence score aggregates eight independent statistical metrics with weighted averaging. The dashboard displays comprehensive statistical summaries: means, variances, rates, distributions, and ratios. Every signal decision is grounded in rigorous statistical hypothesis testing (is entropy low? is lyapunov negative? is coherence above threshold?). This is advanced applied statistics—not simple moving averages or oscillators, but genuine complexity science with statistical rigor. Multiple oscillator-type calculations contribute to dimensional analysis: Phase Analysis: Hilbert transform extracts instantaneous phase (0 to 2π) of four market dimensions (momentum, volume, volatility, structure). These phases function as circular oscillators with phase locking detection. Momentum Dimension: Rate-of-change (ROC) calculation creates momentum oscillator that gets phase-analyzed and normalized. Structure Oscillator: Position within range (close - lowest)/(highest - lowest) creates a 0-1 oscillator showing where price sits in recent range. This gets embedded and phase-analyzed. Dimensional Resonance: Weighted aggregation of momentum, volume, structure, and volatility dimensions creates a -1 to +1 oscillator showing dimensional alignment. Similar to traditional oscillators but multi-dimensional. The coherence field (background coloring) visualizes an oscillating coherence metric (0-1 range) that ebbs and flows with phase synchronization. The emergence score itself (0-1 range) oscillates between low-emergence and high-emergence states. While these aren't traditional RSI or stochastic oscillators, they serve similar purposes—identifying extreme states, mean reversion zones, and momentum conditions—but in higher-dimensional space. Volatility analysis permeates the system: ATR-Based Calculations: Volatility period (default 14) computes ATR for the volatility dimension. This dimension gets normalized, phase-analyzed, and contributes to emergence score. Fractal Dimension & Volatility: Higuchi FD measures how "rough" the price trajectory is. Higher FD (>1.6) correlates with higher volatility/choppiness. FD < 1.4 indicates smooth trends (lower effective volatility). Phase Space Magnitude: The magnitude of the embedding vector correlates with volatility—large magnitude movements in phase space typically accompany volatility expansion. This is the "energy" of the market trajectory. Lyapunov & Volatility: Positive Lyapunov (chaos) often coincides with volatility spikes. The stability/chaos zones visually indicate when volatility makes markets unpredictable. Volatility Dimension Normalization: Raw ATR is normalized by its mean and standard deviation, creating a volatility z-score that feeds into dimensional resonance calculation. High normalized volatility contributes to emergence when aligned with other dimensions. The system is inherently volatility-aware—it doesn't just measure volatility but uses it as a full dimension in phase space reconstruction and treats changing volatility as a regime indicator. CLOSING STATEMENT DRP doesn't trade price—it trades phase space structure . It doesn't chase patterns—it detects emergence . It doesn't guess at trends—it measures coherence . This is complexity science applied to markets: Takens' theorem reconstructs hidden dimensions. Permutation entropy measures order. Lyapunov exponents detect chaos. Transfer entropy reveals causation. Hilbert phases find synchronization. Fractal dimensions quantify self-similarity. When all eight components align—when the reconstructed attractor enters a stable region with low entropy, synchronized phases, trending fractal structure, causal support, deterministic recurrence, and strong phase space trajectory—the market has achieved dimensional resonance . These are the highest-probability moments. Not because an indicator said so. Because the mathematics of complex systems says the market has self-organized into a coherent state. Most indicators see shadows on the wall. DRP reconstructs the cave. "In the space between chaos and order, where dimensions resonate and entropy yields to pattern—there, emergence calls." DRP Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Indicatore Pine Script®
di DskyzInvestments
1
QLC v8.4 – GIBAUUM BEAST + ANTI-FAKEOUTQLC v8.4 – GIBAUUM BEAST + ANTI-FAKEOUT QLC v8.4 — Gibauum Beast Edition (Self-Adaptive Lorentzian Classification + Anti-Fakeout The most powerful open-source Lorentzian / KNN strategy ever released on TradingView. Key Features • True Approximate Nearest Neighbors using Lorentzian Distance (extremely robust to outliers) • 5 hand-picked, z-score normalized features (RSI, WaveTrend, CCI, ADX, RSI) • Real-time self-learning engine — the indicator tracks its own past predictions and automatically adjusts Lorentzian Power and number of neighbors (k) to maximize live accuracy • Live Win-Rate calculation (last 100 strong signals) shown on dashboard • Super-aggressive early entries on extreme predictions (|Pred| ≥ 12) • Smart dynamic exits with Kernel + ATR trailing • Powerful Anti-Fakeout filter — blocks entries on massive volume spikes (stops almost all whale dumps and liquidation cascades) • SuperTrend + low choppiness + volatility filters → only trades in strong trending regimes • Beautiful huge arrows + “GOD MODE” label when conviction is nuclear Performance (real-time monitored on BTC, ETH, SOL 15m–4h) → Average live win-rate 74–84 % after the first few hours of adaptation → Almost zero false breakouts thanks to the volume-spike guard Perfect for scalping, day trading and swing trading crypto and major forex pairs. No repainting | Bar-close confirmed | Works on all timeframes (best 15m–4h) Enjoy the beast.
Indicatore Pine Script®
di glbrtsantoslima
able zone# able zone ## 📋 Overview **able zone** is an advanced Support & Resistance zone detection indicator optimized for **15-minute timeframe trading**. It combines Price Action, Volume Profile, and intelligent zone analysis to identify high-probability trading areas with precise entry and exit points. ## 🎯 Core Features ### 1. **Zone Detection Methods** - **Auto Detect**: Automatically finds the best zones using combined analysis - **Price Action**: Based on pivot points and price structure - **Volume Profile**: Identifies High Volume Nodes (HVN) where most trading occurred - **Combined**: Uses all methods together for comprehensive analysis ### 2. **Zone Types & Colors** - 🟢 **Support Zones** (Green): Price tends to bounce up from these areas - 🔴 **Resistance Zones** (Red): Price tends to reverse down from these areas - 🟣 **HVN Zones** (Purple): High volume areas from Volume Profile - **Strong Zones**: Darker colors indicate zones with more touches (higher reliability) ### 3. **Zone Strength Indicators** - **Labels**: "S3" = Support with 3 touches, "R5" = Resistance with 5 touches - **Touch Count**: More touches = stronger zone - **Min Touch Count Setting**: Adjust to filter weak zones (default: 3) ## ⚙️ Settings Guide ### **Zone Detection Settings** - **Detection Method**: Choose your preferred analysis method - **Lookback Period** (50-500): How many bars to analyze (default: 200) - For 15min: 200 bars = ~50 hours of data - Shorter = Recent zones only - Longer = Historical zones included - **Min Touch Count** (2-10): Minimum touches to qualify as a zone (default: 3) - **Zone Thickness %** (0.1-2.0): How thick the zones appear (default: 0.5) - Based on ATR for dynamic sizing on 15min chart ### **Zone Colors** Fully customizable colors for: - Support Zone (default: Green) - Resistance Zone (default: Red) - Strong Support/Resistance (darker shades) - Volume Profile Zone (default: Purple) ### **Zone Touch Detection** - **Enable Touch Alerts**: Get notifications when price enters zones - **Touch Distance %** (0.1-1.0): How close to zone counts as "touch" (default: 0.3%) - On 15min chart, this gives early warning signals - **Show Touch Markers**: Visual indicators when price touches zones - 🔺 = Support touch (potential buy) - 🔻 = Resistance touch (potential sell) - 💎 = HVN touch (watch for breakout/rejection) ### **Volume Profile Integration** - **Show VP Zones**: Display high volume node zones - **VP Resolution** (20-50): Number of price levels analyzed (default: 30) - **POC Line** (orange): Point of Control - highest volume price level - **POC Width**: Line thickness (1-3) - **Show HVN**: Display High Volume Node zones - **HVN Threshold** (0.5-0.9): Volume % to qualify as HVN (default: 0.7) ### **Display Options** - **Zone Labels**: Show S/R labels with touch count - **Zone Border Lines**: Dotted lines at zone boundaries - **Extend Zones Right**: Project zones into future - **Max Visible Zones** (5-50): Maximum number of zones displayed (default: 20) - Adjust based on chart clarity needs - **Info Table**: Real-time information dashboard ## 📊 Info Table Explained The info table (top-right corner) provides real-time zone analysis: ### **Row 1: ZONE Header** - Shows current timeframe (15m) - Total active zones - "able" branding ### **Row 2: 🎯 TOUCH Status** - **RES**: Currently touching resistance (⚠️ potential reversal down) - **SUP**: Currently touching support (🚀 potential bounce up) - **HVN**: Currently in high volume area (⚡ watch for direction) - **FREE**: Not near any zone (⏳ wait for setup) - Progress bar shows proximity strength - Arrows indicate zone type ### **Row 3: 🟢 SUP - Support Zones** - Number of active support zones below current price - Progress bar shows relative quantity - More support = stronger floor ### **Row 4: 🔴 RES - Resistance Zones** - Number of active resistance zones above current price - Progress bar shows relative quantity - More resistance = stronger ceiling ### **Row 5: 🟣 HVN - High Volume Nodes** - Number of HVN zones (from Volume Profile) - These are areas where most trading activity occurred - Often act as magnets for price ### **Row 6: 📍 NEAR - Nearest Zone** - Shows closest zone type (SUP/RES/HVN) - Distance in % to nearest zone - Arrow shows if zone is above or below ### **Row 7: POSITION - Price Position** - **HIGH**: Price near range top (70%+) - watch for resistance - **MID**: Price in middle range (30-70%) - neutral zone - **LOW**: Price near range bottom (<30%) - watch for support - Shows exact position % in lookback range ### **Row 8: ═ SIGNAL ═** - **🚀 BUY**: Touching support zone (entry opportunity) - **⚠️ SELL**: Touching resistance zone (exit/short opportunity) - **⚡ WATCH**: At HVN (prepare for breakout or rejection) - **⏳ WAIT**: No clear setup (be patient) ## 🎓 Trading Strategy for 15-Minute Timeframe ### **Basic Setup** 1. Set timeframe to **15 minutes** 2. Use **Auto Detect** or **Combined** method 3. Set **Lookback Period**: 200 bars (~50 hours) 4. Set **Min Touch Count**: 3 (proven zones) ### **Entry Signals** #### **Long Entry (Buy)** - Price touches green support zone - Table shows "🚀 BUY" signal - Look for bullish candle pattern (hammer, engulfing) - Volume increases on bounce - **Best Entry**: Bottom of support zone - **Stop Loss**: Below support zone (1-2 ATR) - **Target**: Next resistance zone or 2:1 RR #### **Short Entry (Sell)** - Price touches red resistance zone - Table shows "⚠️ SELL" signal - Look for bearish candle pattern (shooting star, engulfing) - Volume increases on rejection - **Best Entry**: Top of resistance zone - **Stop Loss**: Above resistance zone (1-2 ATR) - **Target**: Next support zone or 2:1 RR #### **HVN Breakout Strategy** - Price approaches purple HVN zone - Table shows "⚡ WATCH" - Wait for breakout with strong volume - **If breaks up**: Go long, target next resistance - **If breaks down**: Go short, target next support ### **Zone Strength Rules** - **S5+ or R5+**: Very strong zones (high probability) - **S3-S4 or R3-R4**: Reliable zones (good setups) - **S2 or R2**: Weak zones (use caution) ### **Best Trading Times (15min)** - **London Open**: 08:00-12:00 GMT (high volume) - **NY Open**: 13:00-17:00 GMT (high volatility) - **Overlap**: 13:00-16:00 GMT (best setups) - **Avoid**: Asian session low volatility periods ### **Risk Management** - Never risk more than 1-2% per trade - Use stop loss ALWAYS (place outside zones) - Take partial profits at 1:1, let rest run to 2:1 or 3:1 - If price consolidates in zone > 3 candles, exit ## ⚠️ Important Notes ### **When Zones Work Best** ✅ Clear trending markets ✅ After significant price movements ✅ At session opens (London/NY) ✅ When multiple zones align ✅ Strong zone with 5+ touches ### **When to Be Cautious** ❌ During major news releases (use economic calendar) ❌ Very low volume periods ❌ Price consolidating inside zone ❌ Weak zones with only 2 touches ❌ Conflicting signals from multiple indicators ### **15-Minute Specific Tips** - **Lookback 200**: Captures 2-3 trading days of zones - **Touch Distance 0.3%**: Early signals on 15min moves - **Max Zones 20**: Keeps chart clean but comprehensive - **Watch POC**: Often acts as pivot on 15min - **Volume spike + zone touch** = high probability setup ## 🔧 Recommended Settings for 15min ### **Conservative Trader** - Detection Method: Combined - Min Touch Count: 4 - Max Zones: 15 - Touch Distance: 0.2% ### **Aggressive Trader** - Detection Method: Auto Detect - Min Touch Count: 2 - Max Zones: 25 - Touch Distance: 0.5% ### **Volume Profile Focused** - Detection Method: Volume Profile - Show HVN: Yes - HVN Threshold: 0.6 - Show POC: Yes ## 📈 Example Trade Scenario (15min) **Setup**: BTC/USD on 15-minute chart 1. Price approaching green support zone at $42,000 2. Zone label shows "S4" (touched 4 times) 3. Table shows "🚀 BUY" signal 4. Volume increasing on approach 5. Bullish hammer candle forms **Entry**: $42,050 (bottom of zone) **Stop Loss**: $41,900 (below zone) **Target 1**: $42,350 (2:1 RR) **Target 2**: Next resistance at $42,650 **Result**: Price bounces, hits Target 1 in 3 candles (~45min) ## 💡 Pro Tips 1. **Combine with trend**: Trade in direction of higher timeframe trend 2. **Multiple touches**: Zones with 5+ touches are highest probability 3. **Volume confirmation**: Always check volume on zone touch 4. **POC magnet**: Price often returns to POC line 5. **False breakouts**: If price barely breaks zone and returns = strong signal 6. **Zone-to-zone**: Trade from support to resistance, resistance to support 7. **Time of day**: Best setups occur during peak volume hours 8. **Chart timeframe**: Use 1H to confirm trend, 15min for entry 9. **News avoidance**: Close trades before high-impact news 10. **Zone clusters**: Multiple zones together = strong area --- **Created by able** | Optimized for 15-minute trading **Version**: 1.0 | Compatible with TradingView Pine Script v5 For support and updates, enable alerts and monitor the info table in real-time!
Indicatore Pine Script®
di Able-terminal
2
Debt-Cycle vs Bitcoin-CycleDebt-Cycle vs Bitcoin-Cycle Indicator The Debt-Cycle vs Bitcoin-Cycle indicator is a macro-economic analysis tool that compares traditional financial market cycles (debt/credit cycles) against Bitcoin market cycles. It uses Z-score normalization to track the relative positioning of global financial conditions versus cryptocurrency market sentiment, helping identify potential turning points and divergences between traditional finance and digital assets. Key Features Dual-Cycle Analysis: Simultaneously tracks traditional financial cycles and Bitcoin-specific cycles Z-Score Normalization: Standardizes diverse data sources for meaningful comparison Multi-Asset Coverage: Analyzes currencies, commodities, bonds, monetary aggregates, and on-chain metrics Divergence Detection: Identifies when Bitcoin cycles move independently from traditional finance 21-Day Timeframe: Optimized for Long-term cycle analysis What It Measures Finance-Cycle (White Line) Tracks traditional financial market health through: Currencies: USD strength (DXY), global currency weights (USDWCU, EURWCU) Commodities: Oil, gold, natural gas, agricultural products, and Bitcoin price Corporate Bonds: Investment-grade spreads, high-yield spreads, credit conditions Monetary Aggregates: M2 money supply, foreign exchange reserves (weighted by currency) Treasury Bonds: Yield curve (2Y/10Y, 3M/10Y), term premiums, long-term rates Bitcoin-Cycle (Orange Line) Tracks Bitcoin market positioning through: On-Chain Metrics: MVRV Ratio (Market Value to Realized Value) NUPL (Net Unrealized Profit/Loss) Profit/Loss Address Distribution Technical Indicators: Bitcoin price Z-score Moving average deviation Relative Strength: ETH/BTC ratio (altcoin strength indicator) Visual Elements White Line: Finance-Cycle indicator (positive = expansionary conditions, negative = contractionary) Orange Line: Bitcoin-Cycle indicator (positive = bullish positioning, negative = bearish) Zero Line: Neutral reference point Interpretation Cycle Alignment Both positive: Risk-on environment, favorable for crypto Both negative: Risk-off environment, caution warranted Divergence: Potential opportunities or warning signals Divergence Signals Finance positive, Bitcoin negative: Bitcoin may be undervalued relative to macro conditions Finance negative, Bitcoin positive: Bitcoin may be overextended or decoupling from traditional finance Important Limitations This indicator uses some technical and macro data but still has significant gaps: ⚠️ Limited monetary data - missing: Funding rates (repo, overnight markets) Comprehensive bond spread analysis Collateral velocity and quality metrics Central bank balance sheet details ⚠️ Basic economic coverage - missing: GDP growth rates Inflation expectations Employment data Manufacturing indices Consumer confidence ⚠️ Simplified on-chain analysis - missing: Exchange flow data Whale wallet movements Mining difficulty adjustments Hash rate trends Network fee dynamics ⚠️ No sentiment data - missing: Fear & Greed Index Options positioning Futures open interest Social media sentiment The indicator provides a high-level cycle comparison but should be combined with comprehensive fundamental analysis, detailed on-chain research, and proper risk management. Settings Offset: Adjust the horizontal positioning of the indicators (default: 0) Timeframe: Fixed at 21 days for optimal cycle detection Use Cases Macro-crypto correlation analysis: Understand when Bitcoin moves with or against traditional markets Cycle timing: Identify potential tops and bottoms in both cycles Risk assessment: Gauge overall market conditions across asset classes Divergence trading: Spot opportunities when cycles diverge significantly Portfolio allocation: Balance traditional and crypto assets based on cycle positioning Technical Notes Uses Z-score normalization with varying lookback periods (40-60 bars) Applies HMA (Hull Moving Average) smoothing to reduce noise Asymmetric multipliers for upside/downside movements in certain metrics Requires access to FRED economic data, Glassnode, CoinMetrics, and IntoTheBlock feeds 21-day timeframe optimized for cycle analysis Strategy Applications This indicator is particularly useful for: Cross-asset allocation - Decide between traditional finance and crypto exposure Cycle positioning - Identify where we are in credit/debt cycles vs. Bitcoin cycles Regime changes - Detect shifts in market leadership and correlation patterns Risk management - Reduce exposure when both cycles turn negative Disclaimer: This indicator is a cycle analysis tool and should not be used as the sole basis for investment decisions. It has limited coverage of monetary conditions, economic fundamentals, and on-chain metrics. The indicator provides directional insight but cannot predict exact timing or magnitude of market moves. Always conduct thorough research, consider multiple data sources, and maintain proper risk management in all investment decisions.
Indicatore Pine Script®
di Unicorpus
deKoder | Ultra High Timeframe Moving Average & Log StDev BandsdeKoder | Ultra High Timeframe Moving Average & Log StDev Bands Identify long-term statistical extremes and map the core trend with the deKoder | uHTF MA indicator. Designed for macro analysis, this tool uses ultra high timeframe moving averages and logarithmic standard deviation bands to frame price action, providing clear signals for when an asset is statistically cheap, fairly priced, or expensive. KEY FEATURES • Ultra High Timeframe (uHTF) Moving Average: • Acts as a dynamic long term fair value equilibrium line. Choose from periods like 1-Year, 2-Year, or 'Long Time'. • Select your MA type: SMA, EMA, Hull MA, or a Rolling VWAP . • Automatically fetches optimal data (4H/D) for smoother plotting on lower timeframes. • Probabilistic Logarithmic Bands: • The bands are calculated using log-standard deviation , creating a framework that adapts to exponential growth. As such, your chart price scale should be set to log. • ~68% of price action typically occurs between the ±1σ bands (fair value zone). • Trading in the ±1σ to ±2σ channel is typical in a strongly trending market. Moves towards the ±3σ bands can indicate that the market is becoming overextended. Expect strong price moves here and pay attention for signs of reversal. • Bitcoin Halving Timeline: • Integrated vertical lines and labels for all Bitcoin halvings. • Correlates technical extremes with fundamental scarcity events. • 4-Year Cycle Visual Aid: • The background color cycle highlights yearly changes. • Red years have historically aligned with bear markets, while the subsequent green zone has marked accumulation phases. • Note: The bands provide the primary information - the background color is a contextual guide based on historical patterns around the BTC 4 year halving cycle that may not persist in future. It's quite possible that the market will act differently going forward considering the new types participants such as ETFs and government reserve funds. HOW TO USE & INTERPRET • Fair Value & Extremes: • Price between ±1σ Bands: The asset is trading within a statistically fair value range. • Price at +2σ / +3σ Bands: The asset is statistically expensive. Statistically, the price is overextended in this region, although you do NOT want to fade it based only upon this information. • Price at -2σ / -3σ Bands: The asset is statistically cheap. These zones have frequently coincided with the end of bear markets and profound long-term buying opportunities. • Dynamic Support & Resistance: • The uHTF MA and its bands tend to act as support and resistance areas of interest on daily, weekly and monthly charts. INPUTS & CUSTOMIZATION • Toggles : Master switch for the MA, Bands, and Halving markers. • uHTF Moving Average Filter : Select instrument (default: BITSTAMP:BTCUSD), price source, MA length, and type. • Colours : Fine-tune the appearance of all elements. PRO TIPS • While created for Bitcoin, this principle will work well on other high-growth assets and major indices. • The most reliable signals occur on the Daily, Weekly and Monthly timeframes. • This is a lagging, macro-filter indicator. It is not for timing short-term entries but for confirming the long-term trend and cycle phase. "Be Fearful When Others Are Greedy and Greedy When Others Are Fearful." - The deKoder | uHTF MA is here to help you quantify that greed and fear on a macro scale.
Indicatore Pine Script®
di FR33FA11