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TTM Squeeze MTF DashboardThis indicator is a multi-timeframe (MTF) powerhouse for spotting breakout trades: It blends TTM Squeeze volatility, momentum oscillator (MOM), EMA trend stacks, MACD histogram expansion, and a "Green Count" (GC) tracker for post-squeeze timing. Perfect for day traders hunting confluence across TFs (e.g., 5m/15m/1H) to enter longs on lower timeframes (LTF) when signals align bullish.1. Quick OverviewCore Features:Dashboard Table: Real-time status for 3 user-defined TFs (defaults: 5m, 15m, 1H). Rows: MOM (momentum), EMA (trend stack), MACD (histogram expansion), SQZ (volatility), GC (breakout counter), + optional GC MOM. Plots: MOM histogram + GC line below price for visual confirmation. Alerts: Triggers on full bullish/bearish alignment (positive/negative MOM + EMA stack + GC ≤3). Edge: Filters noise with MTF alignment—wait for the table to "light up" (2+ TFs green/aqua) for high-conviction entries. Best Use: Liquid markets (stocks, forex, crypto). Chart on LTF (e.g., 5m) for entries, use HTF for bias. 2. Installation & AccessOpen TradingView > Load a chart (e.g., AAPL on 5m). Click Indicators (top toolbar) > Search "TTM Squeeze MTF Dashboard". Add to chart—table appears top-right (customizable). Pro Tip: Pin to favorites for quick access. Save chart layouts to preserve settings. If editing: Right-click indicator > "Edit Pine Script" (open-source code available).3. Customizing SettingsGear icon (next to indicator name) > Adjust groups:Multi-Timeframe SettingsTF1/2/3: Set your scales (e.g., 1m/5m/15m for scalps; 15m/1H/4H for swings). EMA SettingsLengths: 8/21/55/200 (Fib-tuned for trend). Colors: Green (bull stack), Red (bear), Gray (neutral). MACD SettingsLengths: 12/26/9 (standard). Colors: Green (up-expansion: bull building), Red (down: bear building), Gray (retracting: pause). Table Colors & DisplayGC Colors: Customize highlights for low GC + momentum. Histogram Color: MOM shades (aqua/blue positive; red/yellow negative). Squeeze Dot Color: Green (no squeeze), Black (low), Red/Orange (compression). Toggles: Show/hide rows (e.g., disable SQZ for cleaner view). Position/Size: Top-right default; tweak text color/size. OtherSqueeze Length: 20 (BB/KC base). Multipliers: BB=2.0, KC=1.0/1.5/2.0 (vol bands). Hit OK—updates live. Defaults work great out-of-box.4. Reading the Table5 columns: Label | TF1 | TF2 | TF3 | Spacer. Colors = signals; text = TF labels or GC numbers. Default order: MOM > EMA > MACD > SQZ > GC MOM > GC.Row Purpose Bullish (Green/Aqua) Bearish (Red/Yellow) Neutral (Gray) MOM Momentum flow. Aqua (rising positive: strong bull). Blue (falling positive: bull slowing). Red (rising negative: bear easing). Yellow (falling negative: deep bear). N/A. EMA Trend stack (short > long EMAs). Green: Ascending (with trend). Red: Descending (against). Mixed. MACD Histogram expansion. Green: Positive & growing (momentum surge). Red: Negative & shrinking (bear surge). Flat/retracting (avoid). SQZ Volatility compression. Green: No squeeze (expanding). Black: Low (mild coil). N/A. Red: Medium. Orange: High (wait). GC MOM (Opt.) GC ≤3 + positive MOM. Aqua/Blue: Entry sweet spot. N/A. No match. GC Bars since last red squeeze. MOM color if ≤3 (breakout now!). Text: Count (e.g., "2"). N/A. >3 (wait). Bullish Light-Up: 2+ TFs green/aqua on MOM/EMA/MACD + SQZ green/black + GC ≤3 = Long setup.5. Chart PlotsMOM Histogram: Colored bars (aqua = buy pressure)—confirms table. GC Line: Purple, rising from 0—≤3 signals volatility release. 6. Alerts SetupRight-click chart > Add Alert > Select indicator. Pick: "Bullish Alignment TF1" (e.g., for 5m). Message: "Long {{ticker}}—MOM+/EMA Up/GC≤3 on TF1!" Once Per Bar to avoid noise. Bullish: Positive MOM + up EMA + low GC (long entry). Bearish: Negative MOM + down EMA + low GC (short). 7. Trading FrameworkBias Check: HTF EMA green + SQZ release. Confluence: Table aligns bullish (alert fires). LTF Entry: On 5m, buy close above EMA8 (or dip to it). SL below swing low (1-2% risk). Manage: Trail on MACD gray or GC reset. TP: 1.5-2:1 RR. Avoid: Choppy news; <2 TF alignment. Example: Alert on TF2 (15m). Switch to 5m: MOM aqua, price bounces EMA—long.Backtest Tip: Convert to strategy script for stats (55-65% win rate on aligns).
Pine Script® 인디케이터
ChartSmartTrading의
Volume growthVolume Spike vs Previous Day Description: This indicator highlights moments of unusually high trading activity by comparing the current bar’s volume to the previous one. Whenever the current volume exceeds the previous bar’s volume by a specified multiple, the candle is highlighted, and a visual marker appears on the chart. It’s a simple yet powerful tool to instantly spot sudden spikes in market participation — often signaling key moments of accumulation, distribution, or breaking news activity. How it works: Compares the current volume to the previous bar’s volume. If the increase exceeds your chosen multiplier (for example, 10×), the bar is highlighted. A green “VOL↑” marker is displayed below the bar for quick visual recognition. Optional alert conditions allow you to get notified whenever a spike occurs. Inputs: Multiplier — sets how many times larger the current volume must be compared to the previous one (default: 10). Best for: Spotting sudden surges in interest or liquidity. Identifying potential breakout or reversal zones. Works on any asset and any timeframe.
Pine Script® 인디케이터
mnsavin의
1
Trading Blueprint v7 Pro — VWAP-CVD, cPOC Trend MomentumTBv7 Pro is the advanced release of the Trading Blueprint framework — engineered for institutional-style intraday analysis that fuses VWAP location, CVD orderflow, composite profile bias, and momentum curvature into one cohesive system. Core Framework VWAP Structure → Adaptive mean anchored to session VWAP with ±1σ / ±2σ deviation envelopes for dynamic equilibrium detection. vPOC per bar by ruckard () Anchored Volume Profile by DGT () CVD Orderflow Divergence → Smoothed delta histogram with fractal pivots identifying hidden absorption and exhaustion (patterns (Bull / Bear Div). Cumulative Volume Delta by AustrianTradingMachine ) cPOC Integration (2-Day Composite) by poopsnag (me :)→ Confirms true acceptance or rejection zones across sessions for precision bias alignment. TMI (Trend Momentum Indicator by TradingRiot()) → Quantifies slope + mean crossover strength, providing actionable momentum confirmation (bullish / bearish support / divergence). Bias Dashboard → Displays VWAP bias, numerical score, and dynamic color feedback for at-a-glance trade orientation. Usage Context Designed for professionals trading 15 m execution inside 1 h / 4 h context. Ideal for VWAP-cPOC location setups, reversion / continuation scalps, and orderflow confirmation using cumulative delta behavior. 🔧 Modules such as RSI / AO are pre-wired and easily activated for full Trading Blueprint confluence mapping.
Pine Script® 인디케이터
poopsnag의
cPOC 2 DayIt’s perfect for your 2-Day cPOC since: It derives from volume distribution data. It highlights market structure, value area, and composite volume behavior. Traders searching for “cPOC,” “volume profile,” or “market profile” will find it here. Use this if your indicator’s main function is showing POCs, VAH/VAL, or composite volume balance zones. If your cPOC script is part of a broader system: Trend Analysis — if it’s used for directional bias and context with VWAP/EMAs. Support/Resistance — if the tool primarily highlights POC/VAH/VAL as static levels to trade from. Other — only if your indicator mixes data from multiple frameworks (e.g., combines orderflow, delta, VWAP, and TPO).
Pine Script® 인디케이터
poopsnag의
Indicator Overview主力籌碼預判買賣力道 (JUMBO)Pro+ 2.0主力預判買賣力道 Pro+ 是一個先進的多維度交易分析系統，專為台灣股市投資者設計。本指標整合了趨勢、成交量、動量、價格位置和波動率五大維度，通過加權評分系統生成綜合的「Power指標」，精準預判主力資金動向。 🔧 核心技術架構 1. 多維度評分系統 趨勢維度 (30%)：雙EMA系統 + MACD + ADX趨勢強度 成交量維度 (25%)：OBV能量潮 + 成交量比率分析 動量維度 (20%)：RSI + MFI資金流量指標 價格位置維度 (20%)：VWAP + 布林通道位置分析 波動率維度 (5%)：ATR波動率調整 2. 多重確認機制 趨勢確認：EMA金叉/死叉 + 超級趨勢方向 成交量確認：成交量脈衝檢測 + OBV趨勢確認 動量確認：RSI超買超賣 + MFI資金流向 位置確認：布林通道位置 + VWAP相對位置 📊 主要功能特色 訊號系統 主力佈局訊號 🟥 趨勢多頭確認 + Power > 35 成交量放大 + 動量指標多頭 RSI未超買 + 價格突破基準 主力出貨訊號 🟩 趨勢空頭確認 + Power < -35 成交量異常 + 動量指標空頭 RSI未超賣 + 價格跌破基準 Power交叉訊號 🟠🔵 黃金交叉：Power線向上穿越Power MA線 死亡交叉：Power線向下穿越Power MA線 視覺化系統 台灣股市顏色標準：紅色上漲/多頭，綠色下跌/空頭 多層級K線著色：強力訊號→普通訊號→偏多偏空→盤整 智能資訊面板：實時顯示8大關鍵指標狀態 ⚙️ 參數設定說明 主要參數 EMA週期：13/55（短期/長期） Power閾值：35（靈敏度調整） 成交量濾波：1.2倍（異常成交量檢測） 超級趨勢：10週期/3倍數（趨勢過濾） 進階參數 布林通道：20週期/2倍標準差 波動率設定：14週期ATR 動量指標：14週期RSI/MFI 🎯 交易應用策略 進場時機 強力買入：🔥標記 + Power黃金交叉 常規買入：紅色向上箭頭 + Power > 35 確認買入：多重條件同時滿足 出場時機 強力賣出：💧標記 + Power死亡交叉 常規賣出：綠色向下箭頭 + Power < -35 風險控制：趨勢反轉 + 動量減弱 風險管理 止損設定：ATR波動率參考 倉位控制：Power數值強度分級 訊號過濾：ADX趨勢強度確認 📈 指標優勢 高準確率：多重條件過濾，減少假訊號 及時性：領先指標預判主力動向 完整性：涵蓋技術分析主要維度 用戶友好：直觀的視覺化設計 自定義：參數可調適應不同交易風格 🎯 Indicator Overview Main Force Prediction Buying/Selling Strength Pro+ is an advanced multi-dimensional trading analysis system specifically designed for Taiwan stock market investors. This indicator integrates five key dimensions: trend, volume, momentum, price position, and volatility, generating a comprehensive "Power Indicator" through a weighted scoring system to accurately predict institutional fund movements. 🔧 Core Technical Architecture 1. Multi-Dimensional Scoring System Trend Dimension (30%): Dual EMA system + MACD + ADX trend strength Volume Dimension (25%): OBV accumulation + Volume ratio analysis Momentum Dimension (20%): RSI + MFI money flow index Price Position Dimension (20%): VWAP + Bollinger Bands position analysis Volatility Dimension (5%): ATR volatility adjustment 2. Multi-Confirmation Mechanism Trend Confirmation: EMA golden/death cross + SuperTrend direction Volume Confirmation: Volume spike detection + OBV trend confirmation Momentum Confirmation: RSI overbought/oversold + MFI money flow Position Confirmation: Bollinger Bands position + VWAP relative position 📊 Key Features Signal System Institutional Accumulation Signals 🟥 Bullish trend confirmation + Power > 35 Volume expansion + Momentum indicators bullish RSI not overbought + Price breakthrough baseline Institutional Distribution Signals 🟩 Bearish trend confirmation + Power < -35 Abnormal volume + Momentum indicators bearish RSI not oversold + Price breakdown below baseline Power Cross Signals 🟠🔵 Golden Cross: Power line crosses above Power MA line Death Cross: Power line crosses below Power MA line Visualization System Taiwan Market Color Standard: Red for uptrend/bullish, Green for downtrend/bearish Multi-level Candlestick Coloring: Strong signals → Regular signals → Bias signals → Consolidation Smart Info Panel: Real-time display of 8 key indicator statuses ⚙️ Parameter Settings Main Parameters EMA Periods: 13/55 (Short-term/Long-term) Power Threshold: 35 (Sensitivity adjustment) Volume Filter: 1.2x (Abnormal volume detection) SuperTrend: 10 period/3 multiplier (Trend filtering) Advanced Parameters Bollinger Bands: 20 period/2 standard deviations Volatility Settings: 14 period ATR Momentum Indicators: 14 period RSI/MFI 🎯 Trading Application Strategies Entry Timing Strong Buy: 🔥 Mark + Power Golden Cross Regular Buy: Red upward arrow + Power > 35 Confirmed Buy: Multiple conditions simultaneously met Exit Timing Strong Sell: 💧 Mark + Power Death Cross Regular Sell: Green downward arrow + Power < -35 Risk Control: Trend reversal + Momentum weakening Risk Management Stop Loss Setting: ATR volatility reference Position Sizing: Power value strength grading Signal Filtering: ADX trend strength confirmation 📈 Indicator Advantages High Accuracy: Multiple condition filtering reduces false signals Timeliness: Leading indicators predict institutional movements Completeness: Covers main dimensions of technical analysis User-Friendly: Intuitive visualization design Customizable: Adjustable parameters adapt to different trading styles 🔍 Professional Usage Tips Trend Confirmation: Use in conjunction with major trend direction Volume Validation: Ensure volume confirms price movements Risk Management: Always use appropriate position sizing Timeframe Analysis: Apply across multiple timeframes for confirmation Market Context: Consider overall market conditions and sector rotation 版本: Pro+ 2.0 適用市場: 台股、亞股、全球股市 最佳時間框架: 日線、4小時線、1小時線 開發者: JUMBO Trading System 更新日期: 2025版本
Pine Script® 인디케이터
jumbozip의
DEMA Flow [Alpha Extract]A sophisticated trend identification system that combines Double Exponential Moving Average methodology with advanced HL median filtering and ATR-based band detection for precise trend confirmation. Utilizing dual-layer smoothing architecture and volatility-adjusted breakout zones, this indicator delivers institutional-grade flow analysis with minimal lag while maintaining exceptional noise reduction. The system's intelligent band structure with asymmetric ATR multipliers provides clear trend state classification through price position analysis relative to dynamic threshold levels. 🔶 Advanced DEMA Calculation Engine Implements double exponential moving average methodology using cascaded EMA calculations to significantly reduce lag compared to traditional moving averages. The system applies dual smoothing through sequential EMA processing, creating a responsive yet stable trend baseline that maintains sensitivity to genuine market structure changes while filtering short-term noise. // Core DEMA Framework dema(src, length) => EMA1 = ta.ema(src, length) EMA2 = ta.ema(EMA1, length) DEMA_Value = 2 * EMA1 - EMA2 DEMA_Value // Primary Calculation DEMA = dema(close, DEMA_Length) 2H 🔶 HL Median Filter Smoothing Architecture Features sophisticated high-low median filtering using rolling window analysis to create ultra-smooth trend baselines with outlier resistance. The system constructs dynamic arrays of recent DEMA values, sorts them for median extraction, and handles both odd and even window lengths for optimal smoothing consistency across all market conditions. // HL Median Filter Logic hlMedian(src, length) => window = array.new_float() for i = 0 to length - 1 array.push(window, src) array.sort(window) // Median Extraction lenW = array.size(window) median = lenW % 2 == 1 ? array.get(window, lenW / 2) : (array.get(window, lenW/2 - 1) + array.get(window, lenW/2)) / 2 // Smooth DEMA Calculation Smooth_DEMA = hlMedian(DEMA_Value, HL_Filter_Length) 🔶 ATR Band Construction Framework Implements volatility-adaptive band structure using Average True Range calculations with asymmetric multiplier configuration for optimal trend identification. The system creates upper and lower threshold bands around the smoothed DEMA baseline with configurable ATR multipliers, enabling precise trend state determination through price breakout analysis. // ATR Band Calculation atrBands(src, atr_length, upper_mult, lower_mult) => ATR = ta.atr(atr_length) Upper_Band = src + upper_mult * ATR Lower_Band = src - lower_mult * ATR // Band Generation = atrBands(Smooth_DEMA, ATR_Length, Upper_ATR_Mult, Lower_ATR_Mult) 15min 🔶 Intelligent Flow Signal Engine Generates binary trend states through band breakout detection, transitioning to bullish flow when price exceeds upper band and bearish flow when price breaches lower band. The system maintains flow state persistence until opposing band breakout occurs, providing clear trend classification without whipsaw signals during normal volatility fluctuations. 🔶 Comprehensive Visual Architecture Provides multi-dimensional flow visualization through color-coded DEMA line, trend-synchronized candle coloring, and bar color overlay for complete chart integration. The system uses institutional color scheme with neon green for bullish flow, neon red for bearish flow, and neutral gray for undefined states with configurable band visibility. 🔶 Asymmetric Band Configuration Features intelligent asymmetric ATR multiplier system with default upper multiplier of 2.1 and lower multiplier of 1.5, optimizing for market dynamics where upside breakouts often require stronger momentum confirmation than downside breaks. This configuration reduces false signals while maintaining sensitivity to genuine flow changes. 🔶 Dual-Layer Smoothing Methodology Combines DEMA's inherent lag reduction with HL median filtering to create exceptional smoothing without sacrificing responsiveness. The system first applies double exponential smoothing for initial noise reduction, then applies median filtering to eliminate outliers and create ultra-clean flow baseline suitable for high-frequency and institutional trading applications. 🔶 Alert Integration System Features comprehensive alert framework for flow state transitions with customizable notifications for bullish and bearish flow confirmations. The system provides real-time alerts on crossover events with clear directional indicators and exchange/ticker integration for multi-symbol monitoring capabilities. 🔶 Performance Optimization Framework Utilizes efficient array management with optimized median calculation algorithms and minimal variable overhead for smooth operation across all timeframes. The system includes intelligent bar indexing for median filter initialization and streamlined flow state tracking for consistent performance during extended analysis periods. 🔶 Why Choose DEMA Flow ? This indicator delivers sophisticated flow identification through dual-layer smoothing architecture and volatility-adaptive band methodology. By combining DEMA's reduced-lag characteristics with HL median filtering and ATR-based breakout zones, it provides institutional-grade flow analysis with exceptional noise reduction and minimal false signals. The system's asymmetric band structure and comprehensive visual integration make it essential for traders seeking systematic trend-following approaches across cryptocurrency, forex, and equity markets with clear entry/exit signals and comprehensive alert capabilities for automated trading strategies.
Pine Script® 인디케이터
AlphaExtract의
Ben's BTC Macro Fair Value OscillatorBen's BTC Macro Fair Value Oscillator Overview The **BTC Macro Fair Value Oscillator** is a non-crypto fair value framework that uses macro asset relationships (equities, dollar, gold) to estimate Bitcoin's "macro-driven fair value" and identify mean-reversion opportunities. "Is BTC cheap or expensive right now?" on the 4 Hour Timeframe ONLY ### Key Features ✅ **Macro-driven**: Uses QQQ, DXY, XAUUSD instead of on-chain or crypto metrics ✅ **Dynamic weighting**: Assets weighted by rolling correlation strength ✅ **Mean-reversion signals**: Identifies when BTC is cheap/expensive vs macro ✅ **Validated parameters**: Optimized through 5-year backtest (Sharpe 6.7-9.9) ✅ **Visual transparency**: Live correlation panel, fair value bands, statistics ✅ **Non-repainting**: All calculations use confirmed historical data only ### What This Indicator Does - Builds a **synthetic macro composite** from traditional assets - Runs a **rolling regression** to predict BTC price from macro - Calculates **deviation z-score** (how far BTC is from macro fair value) - Generates **entry signals** when BTC is extremely cheap vs macro (dev < -2) - Generates **exit signals** when BTC returns to fair value (dev > 0) ### What This Indicator Is NOT ❌ Not a high-frequency trading system (sparse signals by design) ❌ Not optimized for absolute returns (optimized for Sharpe ratio) ❌ Not suitable as standalone trading system (best as overlay/confirmation) ❌ Not predictive of short-term price movements (mean-reversion timeframe: days to weeks) --- ## Core Concept ### The Premise Bitcoin doesn't trade in a vacuum. It's influenced by: - **Risk appetite** (equities: QQQ, SPX) - **Dollar strength** (DXY - inverse to risk assets) - **Safe haven flows** (Gold: XAUUSD) When macro conditions are "good for BTC" (risk-on, weak dollar, strong equities), BTC should trade higher. When macro conditions turn against it, BTC should trade lower. ### The Innovation Instead of looking at BTC in isolation, this indicator: 1. **Measures how strongly** BTC currently correlates with each macro asset 2. **Builds a weighted composite** of those macro returns (the "D" driver) 3. **Regresses BTC price on D** to estimate "macro fair value" 4. **Tracks the deviation** between actual price and fair value 5. **Signals mean reversion** when deviation becomes extreme ### The Edge The validated edge comes from: - **Extreme deviations predict future returns** (dev < -2 → +1.67% over 12 bars) - **Monotonic relationship** (more negative dev → higher forward returns) - **Works out-of-sample** (test Sharpe +83-87% better than training) - **Low correlation with buy & hold** (provides diversification value) --- ## Methodology ### Step 1: Macro Composite Driver D(t) The indicator builds a weighted composite of macro asset returns: **Process:** 1. Calculate **log returns** for BTC and each macro reference (QQQ, DXY, XAUUSD) 2. Compute **rolling correlation** between BTC and each reference over `corrLen` bars 3. **Weight each asset** by `|correlation|` if above `minCorrAbs` threshold, else 0 4. **Sign-adjust** weights (+1 for positive corr, -1 for negative) to handle inverse relationships 5. **Z-score normalize** each reference's returns over `fvWindow` 6. **Composite D(t)** = weighted sum of sign-adjusted z-scores **Formula:** ``` For each reference i: corr_i = correlation(BTC_returns, ref_i_returns, corrLen) weight_i = |corr_i| if |corr_i| >= minCorrAbs else 0 sign_i = +1 if corr_i >= 0 else -1 z_i = (ref_i_returns - mean) / std contrib_i = sign_i * z_i * weight_i D(t) = sum(contrib_i) / sum(weight_i) ``` **Key Insight:** D(t) represents "how good macro conditions are for BTC right now" in a normalized, correlation-weighted way. --- ### Step 2: Fair Value Regression Uses rolling linear regression to predict BTC price from D(t): **Model:** ``` BTC_price(t) = α + β * D(t) ``` **Calculation (Pine Script approach):** ``` corr_CD = correlation(BTC_price, D, fvWindow) sd_price = stdev(BTC_price, fvWindow) sd_D = stdev(D, fvWindow) cov = corr_CD * sd_price * sd_D var_D = variance(D, fvWindow) β = cov / var_D α = mean(BTC_price) - β * mean(D) fair_value(t) = α + β * D(t) ``` **Result:** A time-varying "macro fair value" line that adapts as correlations change. --- ### Step 3: Deviation Oscillator Measures how far BTC price has deviated from fair value: **Calculation:** ``` residual(t) = BTC_price(t) - fair_value(t) residual_std = stdev(residual, normWindow) deviation(t) = residual(t) / residual_std ``` **Interpretation:** - `dev = 0` → BTC at fair value - `dev = -2` → BTC is 2 standard deviations **cheap** vs macro - `dev = +2` → BTC is 2 standard deviations **rich** vs macro --- ### Step 4: Signal Generation **Long Entry:** `dev` crosses below `-2.0` (BTC extremely cheap vs macro) **Long Exit:** `dev` crosses above `0.0` (BTC returns to fair value) **No shorting** in default config (risk management choice - crypto volatility) --- ## How It Works ### Visual Components #### 1. Price Chart (Main Panel) **Fair Value Line (Orange):** - The estimated "macro-driven fair value" for BTC - Calculated from rolling regression on macro composite **Fair Value Bands:** - **±1σ** (light): 68% confidence zone - **±2σ** (medium): 95% confidence zone - **±3σ** (dark, dots): 99.7% confidence zone **Entry/Exit Markers:** - **Green "LONG" label** below bar: Entry signal (dev < -2) - **Red "EXIT" label** above bar: Exit signal (dev > 0) #### 2. Deviation Oscillator (Separate Pane) **Line plot:** - Shows current deviation z-score - **Green** when dev < -2 (cheap) - **Red** when dev > +2 (rich) - **Gray** when neutral **Histogram:** - Visual representation of deviation magnitude - Green bars = negative deviation (cheap) - Red bars = positive deviation (rich) **Threshold lines:** - **Green dashed at -2.0**: Entry threshold - **Red dashed at 0.0**: Exit threshold - **Gray solid at 0**: Fair value line #### 3. Correlation Panel (Top-Right) Shows live correlation and weighting for each macro asset: | Asset | Corr | Weight | |-------|------|--------| | QQQ | +0.45 | 0.45 | | DXY | -0.32 | 0.32 | | XAUUSD | +0.15 | 0.00 | | Avg \|Corr\| | 0.31 | 0.77 | **Reading:** - **Corr**: Current rolling correlation with BTC (-1 to +1) - **Weight**: How much this asset contributes to fair value (0 = excluded) - **Avg |Corr|**: Average correlation strength (should be > 0.2 for reliable signals) **Colors:** - Green/Red corr = positive/negative correlation - White weight = asset included, Gray = excluded (below minCorrAbs) #### 4. Statistics Label (Bottom-Right) ``` ━━━ BTC Macro FV ━━━ Dev: -2.34 Price: $103,192 FV: $110,500 Status: CHEAP ⬇ β: 103.52 ``` **Fields:** - **Dev**: Current deviation z-score - **Price**: Current BTC close price - **FV**: Current macro fair value estimate - **Status**: CHEAP (< -2), RICH (> +2), or FAIR - **β**: Current regression beta (sensitivity to macro) --- ## Installation & Setup ### TradingView Setup 1. Open TradingView and navigate to any **BTC chart** (BTCUSD, BTCUSDT, etc.) 2. Open **Pine Editor** (bottom panel) 3. Click **"+ New"** → **"Blank indicator"** 4. **Delete** all default code 5. **Copy** the entire Pine Script from `GHPT_optimized.pine` 6. **Paste** into the editor 7. Click **"Save"** and name it "BTC Macro Fair Value Oscillator" 8. Click **"Add to Chart"** ### Recommended Chart Settings **Timeframe:** 4h (validated timeframe) **Chart Type:** Candlestick or Heikin Ashi **Overlay:** Yes (indicator plots on price chart + separate pane) **Alternative Timeframes:** - Daily: Works but slower signals - 1h-2h: May work but not validated - < 1h: Not recommended (too noisy) ### Symbol Requirements **Primary:** BTC/USD or BTC/USDT on any exchange **Macro References:** Automatically fetched - QQQ (Nasdaq 100 ETF) - DXY (US Dollar Index) - XAUUSD (Gold spot) **Data Requirements:** - At least **90 bars** of history (warmup period) - Premium TradingView recommended for full historical data --- ## Reading the Indicator ### Identifying Signals #### Strong Long Signal (High Conviction) - ✅ Deviation < -2.0 (extreme undervaluation) - ✅ Avg |Corr| > 0.3 (strong macro relationships) - ✅ Price touching or below -2σ band - ✅ "LONG" label appears below bar **Interpretation:** BTC is extremely cheap relative to macro conditions. Historical data shows +1.67% average return over next 12 bars (48 hours at 4h timeframe). #### Moderate Long Signal (Lower Conviction) - ⚠️ Deviation between -1.5 and -2.0 - ⚠️ Avg |Corr| between 0.2-0.3 - ⚠️ Price approaching -2σ band **Interpretation:** BTC is cheap but not extreme. Consider as confirmation for other signals. #### Exit Signal - 🔴 Deviation crosses above 0 (returns to fair value) - 🔴 "EXIT" label appears above bar **Interpretation:** Mean reversion complete. Close long positions. #### Strong Short/Avoid Signal - 🔴 Deviation > +2.0 (extreme overvaluation) - 🔴 Avg |Corr| > 0.3 - 🔴 Price touching or above +2σ band **Interpretation:** BTC is expensive vs macro. Historical data shows -1.79% average return over next 12 bars. Consider exiting longs or reducing exposure. ### Regime Detection **Strong Regime (Reliable Signals):** - Avg |Corr| > 0.3 - Multiple assets weighted > 0 - Fair value line tracking price reasonably well **Weak Regime (Unreliable Signals):** - Avg |Corr| < 0.2 - Most weights = 0 (grayed out) - Fair value line diverging wildly from price - **Action:** Ignore signals until correlations strengthen
Pine Script® 인디케이터
popularGnuofls7의
Crypto Correlation Oscillator# Crypto Correlation Oscillator **Companion indicator for Tri-Align Crypto Trend** ## Overview The Crypto Correlation Oscillator helps you identify **alpha opportunities** and **market regime changes** by showing how closely your coin follows Bitcoin and other assets over time. It displays rolling correlations as an oscillator in a separate pane below your price chart. ## What It Does This indicator calculates **Pearson correlations** between different trading pairs on a rolling window (default: 100 bars). Correlations range from **-1.0** (perfect inverse relationship) to **+1.0** (perfect positive relationship), with **0** meaning no correlation. ### The 5 Correlation Lines 1. **Blue (thick line) - Coin vs BTC**: The most important metric - **High correlation (>0.7)**: Your coin is just following BTC - no independent movement - **Low correlation (<0.3)**: Your coin has **alpha** - it's moving independently from BTC - **Negative correlation**: Your coin moves opposite to BTC (rare but powerful) 2. **Purple - Coin/BTC vs BTC**: Inverse relationship check - **Negative values**: When BTC rises, your coin weakens relative to BTC - **Positive values**: When BTC rises, your coin strengthens against BTC 3. **Orange - Coin vs Coin/BTC**: Structural consistency check - Shows how well the Coin/USDT and Coin/BTC pairs maintain their mathematical relationship - Unusual values can indicate liquidity issues or market inefficiencies 4. **Light Red - Coin vs USDT.D** (optional): Stablecoin dominance correlation - Shows how your coin correlates with USDT dominance - Useful for understanding flight-to-safety dynamics 5. **Light Green - Coin vs BTC.D** (optional): Bitcoin dominance correlation - Shows how your coin correlates with BTC dominance - Helps identify altcoin season vs BTC dominance cycles ## How to Read It ### Finding Alpha Opportunities - **Low blue line (<0.3)**: Your coin is decoupled from BTC → potential alpha - **Blue line dropping**: Coin is gaining independence from BTC - **Blue line spiking to >0.9**: Coin is a "BTC clone" with no independent movement ### Regime Change Detection - **Blue line crossing 0.5**: Major shift in correlation behavior - **Purple line turning negative**: Coin starting to weaken when BTC rises (warning sign) - **Sharp correlation changes**: Market structure is shifting - adjust strategy ### Visual Zones - **Blue background**: High correlation zone (>0.7) - coin just following BTC - **Red background**: Inverse correlation zone (<-0.5) - coin moving opposite to BTC ### Reference Lines - **+1.0 / -1.0**: Perfect correlation boundaries (dotted gray) - **+0.5 / -0.5**: Moderate correlation thresholds (dotted gray) - **0.0**: Zero correlation line (solid gray) ## Dynamic Legend The legend table (top-right) automatically shows the actual symbol names based on your chart: - **Example on SOLUSDT**: Shows "SOL vs BTC", "SOL/BTC vs BTC", "SOL vs SOL/BTC", etc. - **Color boxes**: Match the plot colors for easy identification - **Live values**: Current correlation numbers update in real-time - **Tooltips**: Hover over labels for interpretation guidance ## Configuration ### Key Inputs - **Correlation Lookback** (default: 100): Number of bars for rolling correlation window - Shorter = more reactive, noisier - Longer = smoother, slower to detect changes - **Correlation Smoothing** (default: 5): EMA smoothing period for raw correlations - Reduces noise while preserving trends - **Symbol Detection**: Auto-detects symbols from your chart, or use manual overrides - **Dominance Pairs**: Toggle USDT.D and BTC.D correlations on/off ## Usage Tips 1. **Combine with main Tri-Align indicator**: Use correlation for context, Tri-Align for entry/exit signals 2. **Watch for divergences**: Correlation changing while price moves in sync can signal upcoming shift 3. **Adjust lookback period**: Use shorter (50-70) for day trading, longer (150-200) for position trading 4. **Focus on the blue line**: It's your primary alpha indicator ## Technical Details - **Calculation**: Pearson correlation coefficient with EMA smoothing - **Data source**: Close prices from `request.security()` (multi-timeframe capable) - **Update frequency**: Every bar on your selected timeframe - **Overlay**: False (displays in separate pane) ## Quick Interpretation Guide | Blue Line Value | Interpretation | Action | |----------------|----------------|--------| | > 0.9 | Coin is a BTC clone | Avoid - no alpha opportunity | | 0.7 - 0.9 | High correlation | Standard altcoin behavior | | 0.3 - 0.7 | Moderate correlation | Some independence emerging | | < 0.3 | Low correlation | **Strong alpha opportunity** | | < 0 | Inverse correlation | Rare - potential hedge asset | | Purple Line | Interpretation | |-------------|----------------| | Strongly negative | Coin weakens when BTC rises - risky | | Near zero | Coin/BTC pair moves independently of BTC | | Positive | Coin strengthens with BTC - ideal | ## Version History ### v1.0 (Initial Release) - Pearson correlation calculation with configurable lookback - 5 correlation pairs: Coin vs BTC, Coin/BTC vs BTC, Coin vs Coin/BTC, USDT.D, BTC.D - EMA smoothing to reduce noise - Visual zones for high/inverse correlation - Dynamic legend with symbol name extraction - Auto-symbol detection matching main Tri-Align indicator
Pine Script® 인디케이터
Frey_Crypto의
Elliott Wave Expert AdvisorElliott Wave Expert Advisor - Professional Wave Analysis Tool OVERVIEW -------- The Elliott Wave Expert Advisor is a comprehensive Pine Script indicator designed for TradingView that automates Elliott Wave analysis and generates high-probability trading signals. Built on Ralph Nelson Elliott's Wave Principle, this indicator identifies impulse wave patterns, validates them against strict Elliott Wave rules, and provides precise entry points with calculated risk management levels. CORE FUNCTIONALITY ------------------ 1. TREND DETECTION - Dual Moving Average system (Fast/Slow MA) - MACD confirmation for trend strength - Automatic trend classification (Uptrend/Downtrend/Sideways) - Only generates signals aligned with main trend 2. SWING POINT DETECTION - Automatic pivot high/low identification - Configurable sensitivity (lookback periods) - Minimum swing size filtering to reduce noise - ZigZag visualization connecting swing points 3. WAVE IDENTIFICATION - 5-wave impulse pattern recognition (1-2-3-4-5) - 3-wave corrective pattern detection (A-B-C) - Wave labels displayed on chart - Color-coded validation status (Blue = Valid, Orange = Pending) 4. ELLIOTT WAVE RULES VALIDATION Strictly enforces three cardinal rules: - Rule 1: Wave 2 never retraces more than 100% of Wave 1 - Rule 2: Wave 3 is never the shortest impulse wave - Rule 3: Wave 4 never overlaps Wave 1 price territory 5. FIBONACCI ANALYSIS - Automatic Fibonacci retracement calculations (23.6%, 38.2%, 50%, 61.8%, 78.6%) - Fibonacci extension projections (100%, 161.8%, 261.8%) - Wave 3 and Wave 5 target projections - Fibonacci-based Take Profit levels 6. SIGNAL GENERATION - Entry signals at Wave 2 completion (catch Wave 3) - Entry signals at Wave 4 completion (catch Wave 5) - Automatic Stop Loss placement below/above pivot points - Multiple Take Profit targets (TP1 at 1.618 extension, TP2 at Wave 5 projection) - Risk/Reward ratio calculation and filtering - Minimum R:R threshold (default 1.5:1) 7. VISUAL ELEMENTS - Pivot markers (H/L) showing swing highs and lows - ZigZag lines connecting swing points - Wave number labels (1-2-3-4-5) with validation colors - Entry signal arrows (Green = BUY, Red = SELL) - Stop Loss lines (Red dashed) - Take Profit lines (Green dashed and dotted) - Real-time status dashboard showing: * Number of pivots detected * Wave count progress (X/5) * Pattern validation status * Market trend direction * Signal active status * Helpful tips and guidance OPTIMAL USAGE ------------- • Timeframes: H1, H4, D1 (avoid M1-M5 due to noise) • Markets: Forex majors (EUR/USD, GBP/USD), Gold (XAU/USD), Major Cryptocurrencies • Market Conditions: Strong trending markets (avoid ranging/sideways conditions) • Risk Management: Never risk more than 1-2% per trade • Position Sizing: Based on calculated Stop Loss distance CONFIGURATION PARAMETERS ------------------------ Trend Detection: - MA Fast Period (default: 20) - MA Slow Period (default: 50) - MACD settings (12/26/9) Swing Detection: - Pivot Lookback Left/Right (default: 10/10, reduce to 5/5 for M15) - Min Swing Size % (default: 0.1%, reduce to 0.05% for M15) Wave Detection: - Min Wave Size % (default: 0.5%, reduce to 0.2-0.3% for smaller timeframes) Risk Management: - SL Buffer % (default: 0.1%) - TP1 Fibonacci Ratio (default: 1.618) - Min Risk/Reward (default: 1.5) Visualization: - Toggle visibility for MAs, ZigZag, Wave Labels, Signals, SL/TP - Customizable colors for all elements - Optional trend background coloring IMPORTANT NOTES --------------- • Elliott Wave analysis is subjective - this indicator implements one specific interpretation • Works best in trending markets; automatically suppresses signals in sideways conditions • Signals are NOT repainting after pivot confirmation • Not a "holy grail" - combine with other analysis and proper risk management • Requires patience - quality setups are infrequent but high-probability • Always backtest on historical data before live trading ELLIOTT WAVE THEORY BACKGROUND ------------------------------ Elliott Wave Theory, developed by Ralph Nelson Elliott in the 1930s, proposes that market prices move in predictable wave patterns driven by investor psychology. An impulse wave consists of five sub-waves (three in the trend direction, two corrections), followed by a three-wave correction. This indicator automates the identification of these patterns and validates them against Elliott's original rules. DISCLAIMER ---------- This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and never trade with money you cannot afford to lose. The indicator provides signals based on technical analysis patterns and does not constitute financial advice. VERSION ------- v1.0 - Initial Release Pine Script v5 Created: 2024 SUPPORT ------- For detailed usage instructions, refer to the included documentation: - usage_guide.md - Complete user manual with examples - elliott_rules.md - Elliott Wave theory reference and implementation details
Pine Script® 인디케이터
phailamsaonana의
Log Regression Channel (Dezza Fixed v2)This custom indicator builds a curved Logarithmic Regression Channel designed for long-term Bitcoin and macro asset analysis. It performs a linear regression on the logarithm of price to estimate the market’s fair-value growth curve, then converts that back into price space to form upper and lower deviation bands. It helps identify where price sits relative to its long-term exponential trend — showing potential overvaluation (upper band) or undervaluation (lower band) zones. Best used on weekly or monthly charts to visualise market cycles and fair-value reversion. Adjustable inputs let you control lookback length, band width, and midline visibility.
Pine Script® 인디케이터
batobato69의
Log Regression Channel (Dezza)This custom indicator builds a curved Logarithmic Regression Channel designed for long-term Bitcoin and macro asset analysis. It performs a linear regression on the logarithm of price to estimate the market’s fair-value growth curve, then converts that back into price space to form upper and lower deviation bands. It helps identify where price sits relative to its long-term exponential trend — showing potential overvaluation (upper band) or undervaluation (lower band) zones. Best used on weekly or monthly charts to visualise market cycles and fair-value reversion. Adjustable inputs let you control lookback length, band width, and midline visibility.
Pine Script® 인디케이터
batobato69의
Adaptive CE-VWAP Breakout Framework [KedArc Quant]Description A structured framework that unites three complementary systems into one charting engine: Chandelier Exit (CE) – ATR-based trailing logic that defines trend direction, stop placement, and risk/reward overlays. Swing-Anchored VWAP (SWAV) – a dynamically anchored VWAP that re-starts from each confirmed swing and adapts its smoothness to volatility. Pivot S/R with Volume Breaks – confirmed horizontal levels with alerts when broken on expanding volume. This script builds a single workflow for bias → trigger → managementwithout mixing unrelated indicators. Each module is internally linked rather than layered cosmetically, making it a true analytical framework—not. Acknowledgment Special thanks to Dynamic Swing Anchored VWAP by Zeiierman, whose swing-anchoring concept inspired a part of the SWAV module’s implementation and adaptation logic. Support and Resistance Levels with Breaks by LuxAlgo for S/R breakout logic. How this helps traders Trend clarity – CE color-codes direction and provides evolving stops. Context value – SWAV traces adaptive mean paths so traders see where price is heavy or light. Action filter – Pivot+volume logic highlights true structural breaks, filtering false moves. Discipline tool – Optional R:R boxes visualize risk and target zones to enforce planning. Entry / Exit guidelines (for study purposes only) Bias Use CE direction: green = long bias red = short bias Entry 1. Breakout method– Trade in CE direction when a pivot level breaks on valid volume. 2. VWAP confirmation– Prefer breaks occurring around the nearest SWAV path (fair-value cross or re-test). Exit Stop = CE line / recent swing HL / ATR × (multiplier) Target = R-multiple × risk (default 2 R) Optional live update keeps SL/TP aligned with current CE state. Core formula concepts ATR Stop: Stop = High/Low – ATR × multiplier VWAP calc: Σ(price × vol) / Σ(vol) anchored at swing pivot, adapted by APT (Adaptive Price Tracking) ratio ∝ ATR volatility. Volume oscillator: 100 × (EMA₅ – EMA₁₀)/EMA₁₀; valid break when threshold %. Input configuration (high-level) Master Controls Show CE / SWAV modules Theme & Fill opacity CE Section ATR period & multiplier Use Close for extremums Show buy/sell labels Await bar confirmation Risk-Reward overlay: R-multiple, Stop basis (CE/Swing/ATR×), Live update toggle SWAV Section Swing period Adaptive Price Tracking length Volatility bias (ATR-based adaptation) Line width Pivot & Volume Breaks Left/Right bar windows Volume threshold % Show Break labels and alerts Best timeframes Intraday: 5 m – 30 m for breakout confirmation Swing: 1 h – 4 h for trend context Settings scale with instrument volatility—adjust ATR period and volume threshold to match liquidity. Glossary ATR: Average True Range (volatility metric) CE: Chandelier Exit (trailing stop/trend filter) SWAV: Swing-Anchored VWAP (anchored mean price path) Pivot H/L: Confirmed local extrema using left/right bar windows R-multiple: Profit target as a multiple of initial risk FAQ Q: Does it repaint? A: No—pivots wait for confirmation and VWAP updates forward-only. Q: Can modules be disabled? A: Yes—each section has its own toggle. Q: Can it trade automatically? A: This is an indicator/study, not an auto-strategy. Q: Is this financial advice? A: No—educational use only. Disclaimer This script is for educational and analytical purposes only. It is not financial advice. Trading involves risk of loss. Past performance does not guarantee future results. Always apply sound risk management.
Pine Script® 인디케이터
kedarcquant의
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