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PinkSlips Sauce IndicatorChecklist v4PinkSlips’ personal checklist assistant for catching clean trend moves. It stacks EMAs (20/50/200), checks RSI strength, filters chop with ATR, then prints a simple YES/NO checklist so you know when the sauce is actually there. What it does EMA trend filter (bullish / bearish structure) RSI confirmation for high-probability longs & shorts ATR chop filter so you avoid dead zones On-chart checklist box: trend up/down, ATR OK, long/short ready, last signal Optional LONG/SHORT labels on the candles for execution Use this as your pre–entry checklist so you stop forcing trades and only take the clean PinkSlips setups.
Pine Script®指标
由Shoebug提供
Kịch bản của tôi//@version=6 indicator(title="Relative Strength Index", shorttitle="Gấu Trọc RSI", format=format.price, precision=2, timeframe="", timeframe_gaps=true) rsiLengthInput = input.int(14, minval=1, title="RSI Length", group="RSI Settings") rsiSourceInput = input.source(close, "Source", group="RSI Settings") calculateDivergence = input.bool(false, title="Calculate Divergence", group="RSI Settings", display = display.data_window, tooltip = "Calculating divergences is needed in order for divergence alerts to fire.") change = ta.change(rsiSourceInput) up = ta.rma(math.max(change, 0), rsiLengthInput) down = ta.rma(-math.min(change, 0), rsiLengthInput) rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down)) rsiPlot = plot(rsi, "RSI", color=#7E57C2) rsiUpperBand1 = hline(98, "RSI Upper Band1", color=#787B86) rsiUpperBand = hline(70, "RSI Upper Band", color=#787B86) midline = hline(50, "RSI Middle Band", color=color.new(#787B86, 50)) rsiLowerBand = hline(30, "RSI Lower Band", color=#787B86) rsiLowerBand2 = hline(14, "RSI Lower Band2", color=#787B86) fill(rsiUpperBand, rsiLowerBand, color=color.rgb(126, 87, 194, 90), title="RSI Background Fill") midLinePlot = plot(50, color = na, editable = false, display = display.none) fill(rsiPlot, midLinePlot, 100, 70, top_color = color.new(color.green, 0), bottom_color = color.new(color.green, 100), title = "Overbought Gradient Fill") fill(rsiPlot, midLinePlot, 30, 0, top_color = color.new(color.red, 100), bottom_color = color.new(color.red, 0), title = "Oversold Gradient Fill") // Smoothing MA inputs GRP = "Smoothing" TT_BB = "Only applies when 'SMA + Bollinger Bands' is selected. Determines the distance between the SMA and the bands." maTypeInput = input.string("SMA", "Type", options = , group = GRP, display = display.data_window) var isBB = maTypeInput == "SMA + Bollinger Bands" maLengthInput = input.int(14, "Length", group = GRP, display = display.data_window, active = maTypeInput != "None") bbMultInput = input.float(2.0, "BB StdDev", minval = 0.001, maxval = 50, step = 0.5, tooltip = TT_BB, group = GRP, display = display.data_window, active = isBB) var enableMA = maTypeInput != "None" // Smoothing MA Calculation ma(source, length, MAtype) => switch MAtype "SMA" => ta.sma(source, length) "SMA + Bollinger Bands" => ta.sma(source, length) "EMA" => ta.ema(source, length) "SMMA (RMA)" => ta.rma(source, length) "WMA" => ta.wma(source, length) "VWMA" => ta.vwma(source, length) // Smoothing MA plots smoothingMA = enableMA ? ma(rsi, maLengthInput, maTypeInput) : na smoothingStDev = isBB ? ta.stdev(rsi, maLengthInput) * bbMultInput : na plot(smoothingMA, "RSI-based MA", color=color.yellow, display = enableMA ? display.all : display.none, editable = enableMA) bbUpperBand = plot(smoothingMA + smoothingStDev, title = "Upper Bollinger Band", color=color.green, display = isBB ? display.all : display.none, editable = isBB) bbLowerBand = plot(smoothingMA - smoothingStDev, title = "Lower Bollinger Band", color=color.green, display = isBB ? display.all : display.none, editable = isBB) fill(bbUpperBand, bbLowerBand, color= isBB ? color.new(color.green, 90) : na, title="Bollinger Bands Background Fill", display = isBB ? display.all : display.none, editable = isBB) // Divergence lookbackRight = 5 lookbackLeft = 5 rangeUpper = 60 rangeLower = 5 bearColor = color.red bullColor = color.green textColor = color.white noneColor = color.new(color.white, 100) _inRange(bool cond) => bars = ta.barssince(cond) rangeLower <= bars and bars <= rangeUpper plFound = false phFound = false bullCond = false bearCond = false rsiLBR = rsi if calculateDivergence //------------------------------------------------------------------------------ // Regular Bullish // rsi: Higher Low plFound := not na(ta.pivotlow(rsi, lookbackLeft, lookbackRight)) rsiHL = rsiLBR > ta.valuewhen(plFound, rsiLBR, 1) and _inRange(plFound ) // Price: Lower Low lowLBR = low priceLL = lowLBR < ta.valuewhen(plFound, lowLBR, 1) bullCond := priceLL and rsiHL and plFound //------------------------------------------------------------------------------ // Regular Bearish // rsi: Lower High phFound := not na(ta.pivothigh(rsi, lookbackLeft, lookbackRight)) rsiLH = rsiLBR < ta.valuewhen(phFound, rsiLBR, 1) and _inRange(phFound ) // Price: Higher High highLBR = high priceHH = highLBR > ta.valuewhen(phFound, highLBR, 1) bearCond := priceHH and rsiLH and phFound plot( plFound ? rsiLBR : na, offset = -lookbackRight, title = "Regular Bullish", linewidth = 2, color = (bullCond ? bullColor : noneColor), display = display.pane, editable = calculateDivergence) plotshape( bullCond ? rsiLBR : na, offset = -lookbackRight, title = "Regular Bullish Label", text = " Bull ", style = shape.labelup, location = location.absolute, color = bullColor, textcolor = textColor, display = display.pane, editable = calculateDivergence) plot( phFound ? rsiLBR : na, offset = -lookbackRight, title = "Regular Bearish", linewidth = 2, color = (bearCond ? bearColor : noneColor), display = display.pane, editable = calculateDivergence) plotshape( bearCond ? rsiLBR : na, offset = -lookbackRight, title = "Regular Bearish Label", text = " Bear ", style = shape.labeldown, location = location.absolute, color = bearColor, textcolor = textColor, display = display.pane, editable = calculateDivergence) alertcondition(bullCond, title='Regular Bullish Divergence', message="Found a new Regular Bullish Divergence, `Pivot Lookback Right` number of bars to the left of the current bar.") alertcondition(bearCond, title='Regular Bearish Divergence', message='Found a new Regular Bearish Divergence, `Pivot Lookback Right` number of bars to the left of the current bar.')
Pine Script®指标
由puttugmud提供
Daily RDR (Prev Day H/L, Intraday)This indicator identifies intraday Range-Deviation Reversal (RDR) signals using the previous day’s high and low. At each new session, it stores yesterday’s levels and resets today’s range tracking. During the day, it detects when price first breaks above the prior high or below the prior low, then waits for a reversal: a bearish RDR triggers when price exceeds yesterday’s high and then closes back below it, while a bullish RDR triggers when price undercuts yesterday’s low and then closes back above it. The script plots the previous day’s levels and marks RDR reversals with small up/down triangles.
Pine Script®指标
由aykutfirat17331提供
CVD – Visible Range Candles & Line (Cumulative Delta Volume)Disclaimer: This indicator is provided for informational and educational purposes only. It does not constitute investment advice, trading advice, or a recommendation to buy or sell any financial instrument. The author assumes no liability for any losses, damages, or errors arising from use or misuse of this script. Please test thoroughly and use at your own risk. ________________________________________________________________________________ Purpose This indicator provides a fast and clear visualization of Cumulative Delta Volume (CVD) for the currently visible chart range in TradingView. It helps traders identify buy/sell volume pressure and market sentiment over any custom timeframe, with full control over reset intervals and chart style. Key Features CVD by Visible Bars: Dynamically calculates CVD only for bars currently visible on the chart, so scrolling and zooming always rescale the line and candles to your view. Style Selection: Choose line or candlestick display. Candles include both standard OHLC and optional Heikin Ashi smoothing. Automatic Resets: Restart CVD accumulation at the beginning of every day, week, month, or quarter. Choose ‘None’ for ongoing accumulation. Fully Custom Colors: Line color, candle body, wick, border – all optimized for clarity and customizable via the indicator’s Style tab. Autoscale Support: Always fits your timeframe. No need to adjust scale manually. Zero-Level Reference: Includes a horizontal zero line for quick reversal detection. Input Parameters Style: "Line" or "Candles" – controls visual type Heikin Ashi candles: Enable smoothing for candle view Show Line: Toggle CVD line visibility Reset CVD: Options: None, Daily, Weekly, Monthly, Quarterly How To Use Add the indicator to your TradingView chart. Select your preferred visual style (Line or Candles). Choose reset frequency based on your trading timeframe. Customize colors in the Style tab (line, candle up/down, wick, border). Scroll or zoom on the chart – the indicator’s range always fits the currently visible bars. Typical Use Cases Intraday traders tracking open/close session volume delta Swing traders identifying quarterly or monthly market accumulations Visualizing buy/sell pressure divergence at reversal points Comparing volume sentiment across flexible chart intervals Formula Delta calculation: Delta=volume×(sign(close−open)) Accumulation: Resets at user-chosen intervals, CVD plotted for only visible bars Author Created by Ronen Cohen
Pine Script®指标
由ronenc775提供
Stochastic BTC OptimizedEnhanced Stochastic for Bitcoin (BTC) – Optimized for Daily Timeframe This enhanced Stochastic oscillator is specifically fine-tuned for BTC/USD on the 1D timeframe, leveraging historical data from Bitstamp (2011–2025) to minimize false signals and maximize reliability in Bitcoin's volatile swings. Unlike the classic Stochastic (14, 3, 3), this version uses optimized parameters: - K Period = 21 – smoother reaction, better suited for BTC’s macro cycles - D Period = 3, Smooth K = 3 – reduces noise while preserving responsiveness - Overbought = 85, Oversold = 15 – accounts for BTC’s tendency to trend strongly within extreme zones without immediate reversal ✅ Smart Signal Logic: Buy/sell signals appear only when %K crosses %D inside the oversold (≤15) or overbought (≥85) zones, and only the first signal is shown to avoid whipsaws. Visual Enhancements: - Thick lines when %K/%D are in overbought/oversold zones - Green/red background highlights on valid signals - Optional up/down arrows for clear entry visualization - Customizable colors, line widths, and transparency 🔒 No alerts included – clean, focused on price action and momentum. 💡 Pro Tip: For even higher accuracy, use this indicator in combination with a long-term trend filter (e.g., EMA 200). The oscillator excels in ranging or retracement phases but should not be used alone in strong parabolic moves. Based on Mozilla Public License v2.0 – feel free to use, modify, and share. Perfect for swing traders and long-term Bitcoin analysts seeking high-probability reversal zones. перевод на русский Улучшенный Stochastic для Bitcoin (BTC) — оптимизирован для дневного таймфрейма Этот улучшенный осциллятор Stochastic специально настроен под BTC/USD на дневном графике, с учётом исторических данных Bitstamp (2011–2025), чтобы минимизировать ложные сигналы и повысить надёжность в условиях высокой волатильности биткоина. В отличие от классического Stochastic (14, 3, 3), эта версия использует оптимизированные параметры: - Период K = 21 — более плавная реакция, лучше соответствует макроциклам BTC - Период D = 3, Сглаживание K = 3 — снижает шум, сохраняя отзывчивость - Уровень перекупленности = 85, перепроданности = 15 — учитывает склонность BTC к сильным трендам в экстремальных зонах без немедленного разворота ✅ Интеллектуальная логика сигналов: Покупка/продажа отображается только при пересечении %K и %D внутри зоны перепроданности (≤15) или перекупленности (≥85), и только первый сигнал фиксируется, чтобы избежать «хлыстов». Улучшенная визуализация: - Жирные линии, когда %K/%D находятся в экстремальных зонах - Зелёный/красный фон при появлении сигналов - Опциональные стрелки для чёткого отображения точек входа - Настройка цветов, толщины линий и прозрачности 🔒 Без алертов — чистый инструмент, сфокусированный на цене и импульсе. 💡 Совет профессионала: для ещё большей точности используйте этот индикатор вместе с трендовым фильтром (например, EMA 200). Осциллятор лучше всего работает в фазах консолидации или отката, но не стоит применять его в одиночку во время сильных параболических движений. На основе Mozilla Public License v2.0 — свободно используйте, модифицируйте и делитесь. Идеален для свинг-трейдеров и аналитиков Bitcoin, ищущих зоны с высокой вероятностью разворота.
Pine Script®指标
由indexrate提供
Average Directional Index infoAverage Directional Index (ADX) is a technical indicator created by J. Welles Wilder that measures trend strength (not direction!). Values range from 0 to 100. This indicator is a supplementary tool for assessing whether trend strategies are worthwhile, monitoring changes in trend strength and avoiding weak, choppy movements Value Interpretation: 0-25: Weak trend or sideways market 25-50: Moderate to strong trend 50-75: Very strong trend 75-100: Extremely strong trend (rare) Important: ADX does not indicate trend direction (up/down), only its strength! This script indicator includes additional features: 1. ADX Plot (purple line) Basic ADX value showing current trend strength. 2. ADX Trend Analysis (arrows) The script compares current ADX with its 10-period moving average with ±5% tolerance: ↑ (green): ADX rising → trend strengthening ↓ (red): ADX falling → trend weakening ⮆ (gray): ADX stable → trend strength unchanged 3. Information Table Displays current ADX value with trend arrow in the top-right corner. Parameters to Configure Smoothing (default: 14) - Indicator smoothing period Lower values (e.g., 7): more sensitive, more signals Higher values (e.g., 21): more stable, less noise Indicator Length (default: 14) - Period for calculating directional movement (+DI/-DI) Wilder's standard value is 14 Trend Length (default: 10) - Period for moving average to analyze ADX dynamics Determines how quickly changes in trend strength are detected Practical Application ✅ Strategy 1: Trend Strength Filter 1. ADX > 25 → look for positions aligned with the trend 2. ADX < 25 → avoid trend strategies, consider oscillators ✅ Strategy 2: Entries on Strengthening Trend 1. ADX crosses above 25 + arrow ↑ → trend gaining momentum 2. Combine with other indicators (e.g., EMA) for direction confirmation ✅ Strategy 3: Exhaustion Warning 1. ADX > 50 + arrow ↓ → strong trend may be exhausting 2. Consider profit protection or trailing stop
Pine Script®指标
由Jawortrader提供
Weekday Close vs Open — Last N (per weekday)# Weekday Close vs Open - Last N Occurrences This indicator distills every weekday's historical open-to-close behavior into a compact table so you can see how "typical" the current session is before the day even closes. It runs independently of your chart timeframe by pulling daily OHLCV data under the hood, tracking the last **N** completed occurrences for each weekday, and refreshing only when a daily bar closes. On daily charts you can also shade every past bar that matches today's weekday (excluding the in-progress session) to reinforce the pattern visually while the table remains non-repainting. ## What It Shows - **Win/Loss/Tie counts** - how many of the last `N` occurrences closed above the open (wins), below (losses), or inside the tie threshold you define as "flat". - **Win % heatmap** - the win column is color-coded (deep green > deep red) so you immediately recognize strong or weak weekdays. - **Advanced metrics (optional)** - average daily volume plus the average percentage excursion above/below the open (`AvgUp%`, `AvgDn%`) for that weekday. - **Totals row** - aggregates every weekday into one row to estimate overall hit rate and average stats across the entire data set. - **Weekday shading (optional)** - on daily charts you can tint every bar that matches today's weekday (all Mondays, all Fridays, etc.) for instant pattern recognition. ## How It Works 1. The script requests daily OHLCV data (non-repainting) regardless of the chart timeframe. 2. When a new daily bar confirms, it packs that day's data into one of seven arrays (one per weekday). Each day contributes five floats (O/H/L/C/V) so trimming and statistics stay in lockstep. 3. A helper function (`f_dayMetrics`) scans daily history to compute average volume, average excursion above/below the open, and win/loss/tie counts for the requested weekday. 4. The table populates on the last bar of the chart session, respecting your advanced/totals toggles and keeping text at `size.normal`. ## Reading the Table - **Win/Loss/Tie columns**: raw counts taken from your chosen `N`. - **Win %***: excludes ties from the denominator so it reflects only decisive closes. - **AvgUp% / AvgDn%**: typical intraday extension (high vs open, open vs low) in percent. - **Avg Vol**: arithmetic mean of daily volume for that weekday. - **TOTAL row**: provides a global win rate plus volume/up/down averages weighted by how many samples each weekday contributed. ## Practical Uses - Spot weekdays that historically trend higher or lower before entering a trade. - Compare current price action against the typical intraday range (`AvgUp%` vs today's move). - Filter mean-reversion vs breakout setups based on the most reliable weekday patterns. - Quickly gauge whether today is behaving "in character" by referencing the highlighted row or the optional whole-chart weekday shading. > **Tip:** Use smaller `N` values (e.g., 10-20) for adaptive, recent behavior and larger values (50+) to capture longer-term seasonality. Tighten the tie threshold if you want almost every candle to register as win/loss, or widen it to focus only on meaningful moves.
Pine Script®指标
由Zippy111提供
Bitcoin vs M2 Global Liquidity (Lead 3M) - Table Ticker═══════════════════════════════════════════════════════════════ Bitcoin vs M2 Global Liquidity - Regression Indicator ═══════════════════════════════════════════════════════════════ TECHNICAL SPECS • Pine Script v6 • Overlay: false (separate pane) • Data sources: 5 M2 series + 4 FX pairs (request.security) • Calculation: Rolling OLS linear regression with configurable lead • Output: Regression line + ±1σ/±2σ confidence bands + R² ticker CORE FUNCTIONALITY Aggregates M2 money supply from 5 central banks (CN, US, EU, JP, GB), converts to USD, applies time-lead, runs rolling linear regression vs Bitcoin price, plots predicted value with confidence intervals. CONFIGURABLE PARAMETERS Input Controls: • Lead Period: 0-365 days (default: 90) • Lookback Window: 50-2000 bars (default: 750) • Bands: Toggle ±1σ and ±2σ visibility • Colors: BTC, M2, regression line, confidence zones • Ticker: Position, size, colors, transparency Advanced Settings: • Table display: R², lead, M2 total, country breakdown (%) • Ticker customization: 9 position options, 6 text sizes • Border: Width 0-10px, color, outline-only mode DATA AGGREGATION Sources (via request.security): • ECONOMICS:CNM2, USM2, EUM2, JPM2, GBM2 • FX_IDC:CNYUSD, JPYUSD (others: FX:EURUSD, GBPUSD) • Conversion: All M2 → USD → Sum / 1e12 (trillions) REGRESSION ENGINE • Arrays: m2Array, btcArray (dynamic sizing, auto-trim) • Window: Rolling (lookbackPeriod bars) • Lead: Time-shift via array indexing (i + leadPeriodDays) • Calc: Manual OLS (covariance/variance), no built-in ta functions • Outputs: slope, intercept, r2, stdResiduals CONFIDENCE BANDS ±1σ and ±2σ calculated from standard deviation of residuals. Fill zones between upper/lower bounds with configurable transparency. ALERTS 5 pre-configured alertcondition(): • Divergence > 15% • Price crosses ±1σ bands (up/down) • Price crosses ±2σ bands (up/down) TICKER TABLE Dynamic table.new() with 9 rows: • R² value (4 decimals) • Lead period (days + months) • M2 Global total (trillions USD) • Country breakdown: CN, US, EU, JP, GB (absolute + %) • Optional: Hide/show M2 details VISUAL CUSTOMIZATION All plot() elements support: • Color picker inputs (group="Couleurs") • Line width: 1-3px • Transparency: 0-100% for zones • Offset: M2 plot has +leadPeriodDays offset option PERFORMANCE • Max arrays size: lookbackPeriod + leadPeriodDays + 200 • Calculations: Only when array.size >= lookbackPeriod + leadPeriodDays • Table update: barstate.islast (once per bar) • Request.security: gaps_off mode CODE STRUCTURE 1. Inputs (lines 7-54) 2. Data fetch (lines 56-76) 3. M2 aggregation (line 78) 4. Array management (lines 84-95) 5. Regression calc (lines 97-172) 6. Prediction + bands (lines 174-183) 7. Plots (lines 185-199) 8. Ticker table (lines 201-236) 9. Alerts (lines 238-246) DEPENDENCIES None. Pure Pine Script v6. No external libraries. LIMITATIONS • Daily timeframe recommended (1D) • Requires 750+ bars history for optimal calculation • M2 data availability: TradingView ECONOMICS feed • Max lines: 500 (declared in indicator()) CUSTOMIZATION EXAMPLES • Shorter lookback (200d): More reactive, lower R² • Longer lookback (1500d): More stable, regime mixing • No bands: Set showBands=false for clean view • Different lead: Test 60d, 120d for sensitivity analysis TECHNICAL NOTES • Manual OLS implementation (no ta.linreg) • Array-based lead application (not plot offset) • M2 values stored in trillions (/ 1e12) for readability • Residuals array cleared/rebuilt each calculation OPEN SOURCE Code fully visible. Modify, fork, analyze freely. No hidden calculations. No proprietary data. VERSION 1.0 | November 2025 | Pine Script v6 ═══════════════════════════════════════════════════════════════
Pine Script®指标
由Andre_lpz提供
X HL Rangedynamically maps high-low range boxes for custom time-bucket intervals without relying on security() calls. Each defined timeframe (e.g., 15-minute, 60-minute, or any user-selected value) produces a visual “range block” that captures the extremes (H/L) of price activity for that session bucket. This tool is engineered to be lightweight, precise, and session-aware, avoiding repaint characteristics that can occur when referencing higher-timeframe candles directly. It builds the range locally in real-time, ensuring that traders always see authentic structure as it developed on the chart — not delayed or back-filled values. The indicator can display one or both timeframes independently, with configurable display depth, color logic, and visual emphasis through fill and border toggles. 🎯 Key Features Feature Description Multi-timeframe bucket logic Builds range blocks locally using time calculations, not security() Directional coloring Automatically adjusts based on up/down close of the completed range Independent display controls Turn TF buckets on/off without affecting the other Visual style management Independent fill + border toggles and opacity-aware color output Historical depth control Automatically prunes oldest blocks to maintain visual clarity Non-repainting Values are locked at bucket close and never adjusted backward 💡 Primary Use Cases 1️⃣ Intraday Structure Mapping Traders who value intrablock liquidity zones, swing sweeps, or stop hunt regions can instantly see where price respected — or violated — previous time-based range extremes. 2️⃣ Volatility & Regime Shift Detection Rapid compression or expansion across sequential blocks can be used to identify: Transition from balance → imbalance Trend exhaustion and reversal The start of new initiative moves 3️⃣ Confluence Layering with: VWAP (session, anchored, rolling) Market profile / volume nodes Opening range breakout systems Session order flow frameworks Mean-reversion and ATR-based models Stacking multiple intervals (e.g., 15-min micro-range + 60-min macro-range) can highlight nested liquidity pockets, similar to structural mapping seen in professional execution models.
Pine Script®指标
由KinetiCapital提供
ZFX Prime Trend Matrix PRO – Zumiko FX📌 ZFX Prime Trend Matrix PRO – Zumiko FX ZFX Prime Trend Matrix PRO is a multi-timeframe trend dashboard designed by Zumiko FX to give traders an instant, complete market overview. It analyzes six key timeframes simultaneously and displays trend direction, band positioning, momentum, volatility and alignment — all in one clean, horizontal table. This matrix is made to simplify decision-making and help traders instantly identify when multiple timeframes agree on a market direction. 🔹 What the Matrix Shows The dashboard updates in real time and displays: 1. Trend Direction UP / DOWN / Neutral for each timeframe (M1, M5, M15, H1, H4, D1). 2. Bands Position (Prime Bands) Shows whether price is: Above Fast Band Below Fast Band Above Slow Band Below Slow Band Inside range Perfect for spotting breakouts and trend continuation zones. 3. RSI (Momentum Strength) Color-coded RSI readings help detect overbought/oversold and neutral momentum. 4. Stochastic (Timing Tool) Reads market timing with Stoch K/D movements. Highlights when a trend aligns with momentum. 5. ATR Bias Instant view of volatility pressure: LONG SHORT Neutral Great for filtering entries. 6. HTF Alignment Shows whether each timeframe is aligned with the next higher timeframe. A powerful trend continuation filter used by advanced traders. 7. Trading Signal Zone Final synthesised signal: BUY ZONE → Strong bullish alignment SELL ZONE → Strong bearish alignment NO TRADE → Conditions not optimal This allows traders to quickly identify “green light” moments across the trend structure. 🔹 Why This Matrix Is Powerful ✔ Shows 6 timeframes at once ✔ Helps confirm entries from other indicators ✔ Reveals hidden contradictions in trend ✔ Perfect for scalpers and day traders who need fast confirmation ✔ Works with any strategy as a high-level filter ✔ Clean, minimalistic, professional UI 🔹 Who Is It For? Scalpers Day traders Swing traders Traders using trend-following strategies Traders who want a clean, high-level overview 🔹 About Zumiko FX Developed by Zumiko FX, known for precision-based systems and advanced multi-timeframe tools for serious traders.
Pine Script®指标
由kodik19788提供
ORB + INMERELO ADR + ATRThis indicator provides **two completely different but complementary lines of information** for intraday traders: # **1. The ORB Line (ADR-Based Context Line)** The ORB portion of the script focuses on **range expansion** relative to typical daily behavior. ### **What it measures** * **20-day ADR (Average Daily Range)** * **Today’s range as a % of ADR** * **How much of the average range has been “used”** by the time you’re considering an Opening Range Breakout ### **Why it matters for ORB trading** Successful ORBs thrive when: * **ADR used% is low** (green) → plenty of fuel left for expansion * **ADR used% is moderate** (orange) → breakout still possible but less explosive * **ADR used% is high** (red) → breakout attempts often fail or reverse ### **What the indicator gives you** A clean, color-coded readout of: * ADR * Today’s range * Used% * A simple green/orange/red evaluation of ORB quality This allows a trader to quickly judge whether **conditions favor ORB continuation or mean-reversion reversal**—without manually calculating ranges or switching charts. --- # **2. The INMERELO Line (ATR Stretch + MA Interaction)** The INMERELO portion of the script is built around **mean-reversion mechanics**: the market tends to revert back toward the **first daily MA it crosses under**. ### **How it determines the active MA** At the start of each session, the script waits for price to cross under: * **EMA10** * **EMA21** * **SMA50** Whichever MA is crossed first becomes the **active MA** for the day. If no cross has occurred yet, the indicator shows the **nearest MA**, so traders know exactly what the likely “INMERELO magnet” will be. ### **What it measures** * **Stretch from the active MA (in ATR units)** * **20-day ATR regime direction (expanding or contracting)** * **Daily MA context: E10, E21, or S50** ### **Why it matters for INMERELOs** This provides: * The **target MA** * The **distance to that MA in ATRs** * A color-coded stretch score: * **0.6–1.2 ATR** → prime INMERELO zone (Green) * Moderately stretched → Orange * Overstretched or dead zone → Red An up/down arrow shows whether **volatility is expanding or compressing**, which affects expected retrace behavior. ### **What the indicator gives you** All INMERELO data is displayed in a second compact line: * Stretch to MA * Active MA label (E10/E21/S50) * ATR regime arrow This allows fast identification of high-probability **mean-reversion trades back to the MA**. --- # **Summary** This indicator shows: ### **Line 1 → ORB Context (ADR)** * Is the stock setup for a powerful breakout? * How much ADR is left? * Are you early (good) or late (risky)? ### **Line 2 → INMERELO Context (ATR + MA Stretch)** * Which MA is in control today (EMA10, EMA21, or SMA50)? * How many ATRs away from that MA are we? * Is volatility expanding or contracting? * Is this a clean INMERELO setup or not? Together, these two lines give traders the **two most important intraday lenses**: **range expansion (ORB)** and **mean reversion (INMERELO)**—updated every bar, without clutter.
Pine Script®指标
由AGEF-212提供
VWAP + Volume Spikes See Where Smart Money ExhaustsVolume tells the truth. VWAP tells the bias. This script shows both — live. If you trade intraday momentum, reversals, or liquidity sweeps, this indicator is built for you. It shows where volume spikes hit extreme levels, anchored around VWAP and its dynamic bands, so you can instantly spot capitulation or hidden absorption. 🎯 What This Indicator Does ✅ Plots VWAP — session-anchored, updates automatically ✅ Adds dynamic VWAP bands — standard deviation envelopes showing volatility context ✅ Highlights volume spikes — colored candles + background for abnormal prints ✅ Includes alerts — “Volume Spike”, “VWAP Cross”, or a combined alert with direction ✅ Clean visual design — instantly readable in fast markets It’s your visual orderflow radar — whether you’re trading gold, indices, or small caps. 🔍 Why It Works Institutions build and unwind positions around VWAP. Retail often chases volume… this script shows you when that volume becomes too extreme. A spike above VWAP near resistance? → Likely distribution. A spike below VWAP near support? → Likely capitulation. Combine volume exhaustion + VWAP context, and you’ll see market turning points form before most indicators react. ⚙️ Inputs You Can Tune Bands lookback: adjusts how reactive the VWAP bands are Band width (σ): set how tight or wide your deviation envelope is Volume baseline length: controls how “abnormal” a spike must be Spike threshold: multiplier vs. average volume Toggle color-coding, bands, and labels Default settings work well across 1m–15m intraday charts and 1h–4h swing frames. 💡 How Traders Use It 1️⃣ Fade Parabolics: When a green spike candle pierces upper VWAP band on high volume → smart money unloading. Look for rejection and short into VWAP. 2️⃣ Catch Capitulations: When a red spike candle dumps below lower VWAP band → panic selling. Watch for stabilization and long back to VWAP. 3️⃣ VWAP Rotation Plays: Alerts for price crossing VWAP help you spot shift in intraday control. Above VWAP = buyers in charge. Below VWAP = sellers in charge. 🧠 Best Practices Pair it with Volume Profile or Delta/Flow tools to confirm exhaustion. Don’t chase — wait for spike confirmation + reversal candle. Use it on liquid tickers (NASDAQ, SPY, GOLD, BTC, etc.). Great for Dux-style small-cap shorts or index pullbacks. 🔔 Alerts Ready Choose from: Volume Spike (single-bar explosion) VWAP Cross Up/Down (trend shift confirmation) One Combined Alert (any signal, includes ticker, price, and volume) Set once — get real-time push notifications, Telegram, or webhook signals. 📊 My Favorite Setups US100 / NASDAQ: fade rallies above VWAP + spike Gold / Silver: trade reversals from VWAP bands Small caps: short back-side after volume climax ES, DAX, Oil: scalp VWAP rotation with confluence ❤️ Support This Work I release free and premium scripts weekly — combining smart money concepts, VWAP tools, and volume analytics. 👉 Follow me on TradingView for more indicators and setups. 👉 Comment “🔥” if you want me to post the multi-timeframe VWAP + Volume Pressure version next. 👉 Share this with your team — it helps the community grow.
Pine Script®指标
由Rendon1提供
Market Structure Volume Time Velocity ProfileThis is the Market Structure Volume Time Velocity Profile (MSVTVP). It combines event-based profiling with advanced metrics like Time and Velocity (Flow Rate). Instead of fixed time periods, profiles are anchored to critical market events (Swings, Structure Breaks, Delta Breaks), giving you a precise view of value development during specific market phases. ## The 3 Dimensions of the Market Unlike standard tools that only show Volume, MSVTVP allows you to switch between three critical metrics: 1. **VOLUME Profile (The "Where"):** * Shows standard acceptance. High volume nodes (HVN) are magnets for price. 2. **TIME Profile (The "How Long"):** * Similar to TPO, it measures how long price spent at each level. * **High Time:** True acceptance and fair value. * **Low Time:** Rejection or rapid movement. 3. **VELOCITY Profile (The "How Fast"):** * Measures the **speed of trading** (Contracts per Second). This reveals the hidden intent of market participants. * **High Velocity (Fast Flow):** Aggression. Initiative buyers/sellers are hitting market orders rapidly. Often seen at breakouts or in liquidity vacu. * **Low Velocity (Slow Flow):** Absorption. Massive passive limit orders are slowing price down despite high volume. Often seen at major reversals ("hitting a brick wall"). Key Features: 1. **Event-Based Profile Anchoring:** The indicator starts a new profile based on one of three user-selected events ('Profile Anchor'): - **Swing:** A new profile begins when the 'impulse baseline' (derived from intra-bar delta) changes. This baseline adjusts when a new **price pivot** is confirmed: When a price **high** forms, the baseline moves to the **lower** of its previous level or the peak delta (max of delta O/C) at the pivot. When a price **low** forms, it moves to the **higher** of its previous level or the trough delta (min of delta O/C) at the pivot. - **Structure:** A new profile begins immediately on the bar that *confirms* a market structure break (e.g., a new HH or LL, based on a sequence of price pivots). - **Delta:** A new profile begins immediately on the bar that *confirms* a break in the *cumulative delta's* market structure (e.g., a new HH or LL in the delta). Both 'Swing' and 'Delta' anchors are derived from the same **continuous (non-resetting) Cumulative Volume Profile Delta (CVPD)**, which is built from the intra-bar statistical analysis. 2. **Statistical Profile Engine:** For each bar in the anchored period, the indicator builds a volume profile on a lower 'Intra-Bar Timeframe'. Instead of simple tick counting, it uses advanced statistical models: - **Allocation ('Allot model'):** 'PDF' (Probability Density Function) distributes volume proportionally across the bar's range based on an assumed statistical model (e.g., T4-Skew). 'Classic' assigns all volume to the close. - **Buy/Sell Split ('Volume Estimator'):** 'Dynamic' applies a model that analyzes candle wicks and recent trend to estimate buy/sell pressure. 'Classic' classifies all volume based on the candle color. 3. **Visualization & Lag:** The indicator plots the final profile (as a polygon) and the developing statistical lines (POC, VA, VWAP, StdDev). - **Note on Lag:** All anchor events require `Pivot Right Bars` for confirmation. - In 'Structure' and 'Delta' mode, the developing lines (POC, VA, etc.) are plotted using a **non-repainting** method (showing the value from `pivRi` bars ago). - In 'Swing' mode, the profile is plotted **retroactively**, starting *from the bar where the pivot occurred*. The developing lines are also plotted with this full `pivRi` lag to align with the past data. 4. **Flexible Display Modes:** The finalized profile can be displayed in three ways: 'Up/Down' (buy vs. sell), 'Total' (combined volume), and 'Delta' (net difference). 5. **Dynamic Row Sizing:** Includes an option ('Rows per Percent') to automatically adjust the number of profile rows (buckets) based on the profile's price range. 6. **Integrated Alerts:** Includes 13 alerts that trigger for: - A new profile reset ('Profile was resetted'). - Price crossing any of the 6 developing levels (POC, VA High/Low, VWAP, StdDev High/Low). - **Alert Lag Assumption:** In 'Swing' mode, alerts are delayed to match the retroactively plotted lines. In 'Structure' and 'Delta' modes, alerts fire in **real-time** based on the *current price* crossing the *current (repainting)* value of the metric, which may **differ from the non-repainting plotted line.** **Caution: Real-Time Data Behavior (Intra-Bar Repainting)** This indicator uses high-resolution intra-bar data. As a result, the values on the **current, unclosed bar** (the real-time bar) will update dynamically as new intra-bar data arrives. This includes the values used for real-time alerts in 'Structure' and 'Delta' modes. --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Pine Script®指标
由AustrianTradingMachine提供
Periodic Volume Time Velocity ProfileThis is the Periodic Volume Time Velocity Profile (PVTVP). It is an advanced professional profiling tool that goes beyond standard volume analysis by introducing Time and Velocity (Flow Rate) as profile dimensions. By analyzing high-resolution intra-bar data, it builds precise profiles for any custom period (Session, Day, Week, etc.), helping you understand not just *where* the market traded, but *how* it traded there. ## The 3 Dimensions of the Market Unlike standard tools that only show Volume, PVTVP allows you to switch between three critical metrics: 1. **VOLUME Profile (The "Where"):** * Shows standard acceptance. High volume nodes (HVN) are magnets for price. 2. **TIME Profile (The "How Long"):** * Similar to TPO, it measures how long price spent at each level. * **High Time:** True acceptance and fair value. * **Low Time:** Rejection or rapid movement. 3. **VELOCITY Profile (The "How Fast"):** * Measures the **speed of trading** (Contracts per Second). This reveals the hidden intent of market participants. * **High Velocity (Fast Flow):** Aggression. Initiative buyers/sellers are hitting market orders rapidly. Often seen at breakouts or in liquidity vacuums. * **Low Velocity (Slow Flow):** Absorption. Massive passive limit orders are slowing price down despite high volume. Often seen at major reversals ("hitting a brick wall"). ## Key Features 1. **Statistical Volume Profile Engine:** For each bar in the selected period, the indicator builds a complete volume profile on a lower 'Intra-Bar Timeframe'. Instead of simple tick counting, it uses **statistical models ('PDF' allocation)** to distribute volume across price levels and **advanced classifiers ('Dynamic' split)** to determine the buy/sell pressure within that profile. 2. **Flexible Profile Display:** The **finalized profile** (plotted at the end of each period) can be visualized in three distinct ways: 'Up/Down' (buy vs. sell), 'Total' (combined volume), and 'Delta' (net difference). 3. **Developing Key Levels:** The indicator also plots the developing Point of Control (POC), Value Area (VA), VWAP, and Standard Deviation bands in real-time as the period unfolds, providing live insights into the emerging market structure. 4. **Dynamic Row Sizing:** Includes an option ('Rows per Percent') to automatically adjust the number of profile rows (buckets) based on the profile's price range, maintaining a consistent visual density. 5. **Integrated Alerts:** Includes 12 alerts that trigger when the main price crosses over or under the key developing levels: POC, VWAP, Value Area High/Low, and the +/- Standard Deviation bands. **Caution: Real-Time Data Behavior (Intra-Bar Repainting)** This indicator uses high-resolution intra-bar data. As a result, the values on the **current, unclosed bar** (the real-time bar) will update dynamically as new intra-bar data arrives. This behavior is normal and necessary for this type of analysis. Signals should only be considered final **after the main chart bar has closed.** --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Pine Script®指标
由AustrianTradingMachine提供
RSI with Zone Colors//@version=6 indicator(title="RSI with Zone Colors", shorttitle="RSI+", format=format.price, precision=2, timeframe="", timeframe_gaps=true) //// ==== INPUT SETTINGS ==== rsiLength = input.int(14, title="RSI Length", minval=1) source = input.source(close, title="Source") ob_level = input.int(70, title="Overbought Level") os_level = input.int(30, title="Oversold Level") //// ==== RSI CALCULATION ==== change = ta.change(source) up = ta.ma(math.max(change, 0), rsiLength) down = ta.ma(-math.min(change, 0), rsiLength) rsi = down == 0 ? 100 : 100 - (100 / (1 + up / down)) //// ==== COLOR BASED ON ZONES ==== rsiColor = rsi > ob_level ? color.red : rsi < os_level ? color.green : #2962FF //// ==== PLOT RSI ==== plot(rsi, title="RSI", color=rsiColor, linewidth=2) //// ==== ZONE LINES ==== hline(ob_level, "Overbought", color=#787B86) hline(50, "Middle", color=color.new(#787B86, 50)) hline(os_level, "Oversold", color=#787B86) //// ==== FILL ZONES ==== zoneColor = rsi > ob_level ? color.new(color.red, 85) : rsi < os_level ? color.new(color.green, 85) : na fill(plot(ob_level, display=display.none), plot(rsi > ob_level ? rsi : ob_level, display=display.none), color=zoneColor, title="OB Fill") fill(plot(os_level, display=display.none), plot(rsi < os_level ? rsi : os_level, display=display.none), color=zoneColor, title="OS Fill") //// ==== COLOR CANDLE WHEN RSI IN ZONE ==== barcolor(rsi > ob_level ? color.red : rsi < os_level ? color.green : na)
Pine Script®指标
由pkgoglobal提供
Session Breakout, Retest, Reversal + Large Move Alert## **Session Breakout, Retest, Reversal + Large Move Alert** ### Overview A powerful multi-functional indicator designed for day traders and futures traders to identify session-based breakout opportunities, retest confirmations, and significant price movements across all futures contracts (Gold, E-mini S&P 500, Nasdaq, Crude Oil, and more). ### Key Features **📊 Pre-Market Session Tracking** - Automatically calculates pre-market/overnight session highs and lows - Displays session ranges with customizable colors and styling - Extends lines through the entire trading session for easy reference - Supports overnight sessions (e.g., 4 PM – 7:30 AM for Gold futures) **🚀 Breakout Detection** - Identifies breakouts above/below pre-market highs and lows - Uses close-price confirmation to filter false signals from wicks - Displays "BO ↑" and "BO ↓" labels at breakout points - Generates instant alerts when breakouts occur **♻️ Retest Failed Tracking** - Monitors price retests after breakouts - Detects when retests fail to reach previous support/resistance - Labels "RF" (Retest Failed) for high-probability trade setups - Helps identify reversal opportunities **📈 First 5-Minute Analysis** - Captures first 5 minutes of market open (customizable timeframe) - Tracks first 5-minute highs and lows separately - Essential for mean-reversion and breakout confirmation strategies - Blue lines extend through the trading session for easy tracking **⚡ Large Move Alerts** - Detects significant price movements based on point thresholds - Individual thresholds for 5+ different symbols: - GC (Gold): 15 points - ES (E-mini S&P 500): 15 points - NQ (E-mini Nasdaq): 50 points - CL (Crude Oil): 1.5 points - Custom: Fully adjustable - Auto-detects symbol from chart ticker - Labels show exact point movement and candle direction ### Customization Options **Symbol Configuration** - **Auto-Mode**: Automatically detects trading symbol from chart ticker - **Manual-Mode**: Select specific symbol (GC, ES, NQ, CL, or Custom) **Session Settings** - Fully customizable pre-market session time (24-hour format) - Adjustable market open time for first 5-minute window - Market close hour and minute configuration - Support for any timezone **Point Move Thresholds by Symbol** - Set independent thresholds for each of your trading symbols - Quickly adjust settings when switching between different futures - Includes helpful tooltips for recommended values **Display & Styling** - Toggle all visual elements on/off individually - Customizable colors for all lines and labels: - Pre-market high/low colors - Breakout labels (up/down) - Retest failed labels - First 5-minute session lines - Large move indicators - Text size options: tiny, small, normal, large, huge ### How It Works 1. **Session Tracking**: The indicator identifies your pre-market session and marks the high and low with labeled lines (PH/PL) 2. **Breakout Signal**: Once the market opens, it monitors for close prices above/below the pre-market levels and alerts you with "BO ↑" or "BO ↓" 3. **Retest Confirmation**: After a breakout, it tracks retests and labels "RF" when the retest fails to reach the opposite extreme, confirming trade direction 4. **Large Move Detection**: Simultaneously monitors for significant point moves that exceed your symbol-specific thresholds 5. **Alert Triggers**: Get real-time alerts for: - Breakout Up/Down - Any Breakout - Large Move events ### Alert Conditions The indicator includes four alert conditions: - **Breakout Up Alert**: Price closes above pre-market high - **Breakout Down Alert**: Price closes below pre-market low - **Any Breakout Alert**: Either breakout condition triggers - **Large Move Alert**: Point movement exceeds threshold for current symbol ### Ideal For - ✅ Day traders (breakout/retest strategies) - ✅ Futures traders (Gold, Oil, Stock Index Contracts) - ✅ Intraday scalpers (first 5-minute analysis) - ✅ Swing traders (session-based levels) - ✅ Multi-symbol traders (independent thresholds per symbol) ### Disclaimer This indicator is designed for educational and informational purposes. Past performance does not guarantee future results. Always use proper risk management and position sizing. Test thoroughly on historical data before trading live.
Pine Script®指标
由Jay_R_Dhanki提供
1
Algorithm Predator - ML-liteAlgorithm Predator - ML-lite This indicator combines four specialized trading agents with an adaptive multi-armed bandit selection system to identify high-probability trade setups. It is designed for swing and intraday traders who want systematic signal generation based on institutional order flow patterns , momentum exhaustion , liquidity dynamics , and statistical mean reversion . Core Architecture Why These Components Are Combined: The script addresses a fundamental challenge in algorithmic trading: no single detection method works consistently across all market conditions. By deploying four independent agents and using reinforcement learning algorithms to select or blend their outputs, the system adapts to changing market regimes without manual intervention. The Four Trading Agents 1. Spoofing Detector Agent 🎭 Detects iceberg orders through persistent volume at similar price levels over 5 bars Identifies spoofing patterns via asymmetric wick analysis (wicks exceeding 60% of bar range with volume >1.8× average) Monitors order clustering using simplified Hawkes process intensity tracking (exponential decay model) Signal Logic: Contrarian—fades false breakouts caused by institutional manipulation Best Markets: Consolidations, institutional trading windows, low-liquidity hours 2. Exhaustion Detector Agent ⚡ Calculates RSI divergence between price movement and momentum indicator over 5-bar window Detects VWAP exhaustion (price at 2σ bands with declining volume) Uses VPIN reversals (volume-based toxic flow dissipation) to identify momentum failure Signal Logic: Counter-trend—enters when momentum extreme shows weakness Best Markets: Trending markets reaching climax points, over-extended moves 3. Liquidity Void Detector Agent 💧 Measures Bollinger Band squeeze (width <60% of 50-period average) Identifies stop hunts via 20-bar high/low penetration with immediate reversal and volume spike Detects hidden liquidity absorption (volume >2× average with range <0.3× ATR) Signal Logic: Breakout anticipation—enters after liquidity grab but before main move Best Markets: Range-bound pre-breakout, volatility compression zones 4. Mean Reversion Agent 📊 Calculates price z-scores relative to 50-period SMA and standard deviation (triggers at ±2σ) Implements Ornstein-Uhlenbeck process scoring (mean-reverting stochastic model) Uses entropy analysis to detect algorithmic trading patterns (low entropy <0.25 = high predictability) Signal Logic: Statistical reversion—enters when price deviates significantly from statistical equilibrium Best Markets: Range-bound, low-volatility, algorithmically-dominated instruments Adaptive Selection: Multi-Armed Bandit System The script implements four reinforcement learning algorithms to dynamically select or blend agents based on performance: Thompson Sampling (Default - Recommended): Uses Bayesian inference with beta distributions (tracks alpha/beta parameters per agent) Balances exploration (trying underused agents) vs. exploitation (using proven winners) Each agent's win/loss history informs its selection probability Lite Approximation: Uses pseudo-random sampling from price/volume noise instead of true random number generation UCB1 (Upper Confidence Bound): Calculates confidence intervals using: average_reward + sqrt(2 × ln(total_pulls) / agent_pulls) Deterministic algorithm favoring agents with high uncertainty (potential upside) More conservative than Thompson Sampling Epsilon-Greedy: Exploits best-performing agent (1-ε)% of the time Explores randomly ε% of the time (default 10%, configurable 1-50%) Simple, transparent, easily tuned via epsilon parameter Gradient Bandit: Uses softmax probability distribution over agent preference weights Updates weights via gradient ascent based on rewards Best for Blend mode where all agents contribute Selection Modes: Switch Mode: Uses only the selected agent's signal (clean, decisive) Blend Mode: Combines all agents using exponentially weighted confidence scores controlled by temperature parameter (smooth, diversified) Lock Agent Feature: Optional manual override to force one specific agent Useful after identifying which agent dominates your specific instrument Only applies in Switch mode Four choices: Spoofing Detector, Exhaustion Detector, Liquidity Void, Mean Reversion Memory System Dual-Layer Architecture: Short-Term Memory: Stores last 20 trade outcomes per agent (configurable 10-50) Long-Term Memory: Stores episode averages when short-term reaches transfer threshold (configurable 5-20 bars) Memory Boost Mechanism: Recent performance modulates agent scores by up to ±20% Episode Transfer: When an agent accumulates sufficient results, averages are condensed into long-term storage Persistence: Manual restoration of learned parameters via input fields (alpha, beta, weights, microstructure thresholds) How Memory Works: Agent generates signal → outcome tracked after 8 bars (performance horizon) Result stored in short-term memory (win = 1.0, loss = 0.0) Short-term average influences agent's future scores (positive feedback loop) After threshold met (default 10 results), episode averaged into long-term storage Long-term patterns (weighted 30%) + short-term patterns (weighted 70%) = total memory boost Market Microstructure Analysis These advanced metrics quantify institutional order flow dynamics: Order Flow Toxicity (Simplified VPIN): Measures buy/sell volume imbalance over 20 bars: |buy_vol - sell_vol| / (buy_vol + sell_vol) Detects informed trading activity (institutional players with non-public information) Values >0.4 indicate "toxic flow" (informed traders active) Lite Approximation: Uses simple open/close heuristic instead of tick-by-tick trade classification Price Impact Analysis (Simplified Kyle's Lambda): Measures market impact efficiency: |price_change_10| / sqrt(volume_sum_10) Low values = large orders with minimal price impact ( stealth accumulation ) High values = retail-dominated moves with high slippage Lite Approximation: Uses simplified denominator instead of regression-based signed order flow Market Randomness (Entropy Analysis): Counts unique price changes over 20 bars / 20 Measures market predictability High entropy (>0.6) = human-driven, chaotic price action Low entropy (<0.25) = algorithmic trading dominance (predictable patterns) Lite Approximation: Simple ratio instead of true Shannon entropy H(X) = -Σ p(x)·log₂(p(x)) Order Clustering (Simplified Hawkes Process): Tracks self-exciting event intensity (coordinated order activity) Decays at 0.9× per bar, spikes +1.0 when volume >1.5× average High intensity (>0.7) indicates clustering (potential spoofing/accumulation) Lite Approximation: Simple exponential decay instead of full λ(t) = μ + Σ α·exp(-β(t-tᵢ)) with MLE Signal Generation Process Multi-Stage Validation: Stage 1: Agent Scoring Each agent calculates internal score based on its detection criteria Scores must exceed agent-specific threshold (adjusted by sensitivity multiplier) Agent outputs: Signal direction (+1/-1/0) and Confidence level (0.0-1.0) Stage 2: Memory Boost Agent scores multiplied by memory boost factor (0.8-1.2 based on recent performance) Successful agents get amplified, failing agents get dampened Stage 3: Bandit Selection/Blending If Adaptive Mode ON: Switch: Bandit selects single best agent, uses only its signal Blend: All agents combined using softmax-weighted confidence scores If Adaptive Mode OFF: Traditional consensus voting with confidence-squared weighting Signal fires when consensus exceeds threshold (default 70%) Stage 4: Confirmation Filter Raw signal must repeat for consecutive bars (default 3, configurable 2-4) Minimum confidence threshold: 0.25 (25%) enforced regardless of mode Trend alignment check: Long signals require trend_score ≥ -2, Short signals require trend_score ≤ 2 Stage 5: Cooldown Enforcement Minimum bars between signals (default 10, configurable 5-15) Prevents over-trading during choppy conditions Stage 6: Performance Tracking After 8 bars (performance horizon), signal outcome evaluated Win = price moved in signal direction, Loss = price moved against Results fed back into memory and bandit statistics Trading Modes (Presets) Pre-configured parameter sets: Conservative: 85% consensus, 4 confirmations, 15-bar cooldown Expected: 60-70% win rate, 3-8 signals/week Best for: Swing trading, capital preservation, beginners Balanced: 70% consensus, 3 confirmations, 10-bar cooldown Expected: 55-65% win rate, 8-15 signals/week Best for: Day trading, most traders, general use Aggressive: 60% consensus, 2 confirmations, 5-bar cooldown Expected: 50-58% win rate, 15-30 signals/week Best for: Scalping, high-frequency trading, active management Elite: 75% consensus, 3 confirmations, 12-bar cooldown Expected: 58-68% win rate, 5-12 signals/week Best for: Selective trading, high-conviction setups Adaptive: 65% consensus, 2 confirmations, 8-bar cooldown Expected: Varies based on learning Best for: Experienced users leveraging bandit system How to Use 1. Initial Setup (5 Minutes): Select Trading Mode matching your style (start with Balanced) Enable Adaptive Learning (recommended for automatic agent selection) Choose Thompson Sampling algorithm (best all-around performance) Keep Microstructure Metrics enabled for liquid instruments (>100k daily volume) 2. Agent Tuning (Optional): Adjust Agent Sensitivity multipliers (0.5-2.0): <0.8 = Highly selective (fewer signals, higher quality) 0.9-1.2 = Balanced (recommended starting point) 1.3 = Aggressive (more signals, lower individual quality) Monitor dashboard for 20-30 signals to identify dominant agent If one agent consistently outperforms, consider using Lock Agent feature 3. Bandit Configuration (Advanced): Blend Temperature (0.1-2.0): 0.3 = Sharp decisions (best agent dominates) 0.5 = Balanced (default) 1.0+ = Smooth (equal weighting, democratic) Memory Decay (0.8-0.99): 0.90 = Fast adaptation (volatile markets) 0.95 = Balanced (most instruments) 0.97+ = Long memory (stable trends) 4. Signal Interpretation: Green triangle (▲): Long signal confirmed Red triangle (▼): Short signal confirmed Dashboard shows: Active agent (highlighted row with ► marker) Win rate per agent (green >60%, yellow 40-60%, red <40%) Confidence bars (█████ = maximum confidence) Memory size (short-term buffer count) Colored zones display: Entry level (current close) Stop-loss (1.5× ATR) Take-profit 1 (2.0× ATR) Take-profit 2 (3.5× ATR) 5. Risk Management: Never risk >1-2% per signal (use ATR-based stops) Signals are entry triggers, not complete strategies Combine with your own market context analysis Consider fundamental catalysts and news events Use "Confirming" status to prepare entries (not to enter early) 6. Memory Persistence (Optional): After 50-100 trades, check Memory Export Panel Record displayed alpha/beta/weight values for each agent Record VPIN and Kyle threshold values Enable "Restore From Memory" and input saved values to continue learning Useful when switching timeframes or restarting indicator Visual Components On-Chart Elements: Spectral Layers: EMA8 ± 0.5 ATR bands (dynamic support/resistance, colored by trend) Energy Radiance: Multi-layer glow boxes at signal points (intensity scales with confidence, configurable 1-5 layers) Probability Cones: Projected price paths with uncertainty wedges (15-bar projection, width = confidence × ATR) Connection Lines: Links sequential signals (solid = same direction continuation, dotted = reversal) Kill Zones: Risk/reward boxes showing entry, stop-loss, and dual take-profit targets Signal Markers: Triangle up/down at validated entry points Dashboard (Configurable Position & Size): Regime Indicator: 4-level trend classification (Strong Bull/Bear, Weak Bull/Bear) Mode Status: Shows active system (Adaptive Blend, Locked Agent, or Consensus) Agent Performance Table: Real-time win%, confidence, and memory stats Order Flow Metrics: Toxicity and impact indicators (when microstructure enabled) Signal Status: Current state (Long/Short/Confirming/Waiting) with confirmation progress Memory Panel (Configurable Position & Size): Live Parameter Export: Alpha, beta, and weight values per agent Adaptive Thresholds: Current VPIN sensitivity and Kyle threshold Save Reminder: Visual indicator if parameters should be recorded What Makes This Original This script's originality lies in three key innovations: 1. Genuine Meta-Learning Framework: Unlike traditional indicator mashups that simply display multiple signals, this implements authentic reinforcement learning (multi-armed bandits) to learn which detection method works best in current conditions. The Thompson Sampling implementation with beta distribution tracking (alpha for successes, beta for failures) is statistically rigorous and adapts continuously. This is not post-hoc optimization—it's real-time learning. 2. Episodic Memory Architecture with Transfer Learning: The dual-layer memory system mimics human learning patterns: Short-term memory captures recent performance (recency bias) Long-term memory preserves historical patterns (experience) Automatic transfer mechanism consolidates knowledge Memory boost creates positive feedback loops (successful strategies become stronger) This architecture allows the system to adapt without retraining , unlike static ML models that require batch updates. 3. Institutional Microstructure Integration: Combines retail-focused technical analysis (RSI, Bollinger Bands, VWAP) with institutional-grade microstructure metrics (VPIN, Kyle's Lambda, Hawkes processes) typically found in academic finance literature and professional trading systems, not standard retail platforms. While simplified for Pine Script constraints, these metrics provide insight into informed vs. uninformed trading , a dimension entirely absent from traditional technical analysis. Mashup Justification: The four agents are combined specifically for risk diversification across failure modes: Spoofing Detector: Prevents false breakout losses from manipulation Exhaustion Detector: Prevents chasing extended trends into reversals Liquidity Void: Exploits volatility compression (different regime than trending) Mean Reversion: Provides mathematical anchoring when patterns fail The bandit system ensures the optimal tool is automatically selected for each market situation, rather than requiring manual interpretation of conflicting signals. Why "ML-lite"? Simplifications and Approximations This is the "lite" version due to necessary simplifications for Pine Script execution: 1. Simplified VPIN Calculation: Academic Implementation: True VPIN uses volume bucketing (fixed-volume bars) and tick-by-tick buy/sell classification via Lee-Ready algorithm or exchange-provided trade direction flags This Implementation: 20-bar rolling window with simple open/close heuristic (close > open = buy volume) Impact: May misclassify volume during ranging/choppy markets; works best in directional moves 2. Pseudo-Random Sampling: Academic Implementation: Thompson Sampling requires true random number generation from beta distributions using inverse transform sampling or acceptance-rejection methods This Implementation: Deterministic pseudo-randomness derived from price and volume decimal digits: (close × 100 - floor(close × 100)) + (volume % 100) / 100 Impact: Not cryptographically random; may have subtle biases in specific price ranges; provides sufficient variation for agent selection 3. Hawkes Process Approximation: Academic Implementation: Full Hawkes process uses maximum likelihood estimation with exponential kernels: λ(t) = μ + Σ α·exp(-β(t-tᵢ)) fitted via iterative optimization This Implementation: Simple exponential decay (0.9 multiplier) with binary event triggers (volume spike = event) Impact: Captures self-exciting property but lacks parameter optimization; fixed decay rate may not suit all instruments 4. Kyle's Lambda Simplification: Academic Implementation: Estimated via regression of price impact on signed order flow over multiple time intervals: Δp = λ × Δv + ε This Implementation: Simplified ratio: price_change / sqrt(volume_sum) without proper signed order flow or regression Impact: Provides directional indicator of impact but not true market depth measurement; no statistical confidence intervals 5. Entropy Calculation: Academic Implementation: True Shannon entropy requires probability distribution: H(X) = -Σ p(x)·log₂(p(x)) where p(x) is probability of each price change magnitude This Implementation: Simple ratio of unique price changes to total observations (variety measure) Impact: Measures diversity but not true information entropy with probability weighting; less sensitive to distribution shape 6. Memory System Constraints: Full ML Implementation: Neural networks with backpropagation, experience replay buffers (storing state-action-reward tuples), gradient descent optimization, and eligibility traces This Implementation: Fixed-size array queues with simple averaging; no gradient-based learning, no state representation beyond raw scores Impact: Cannot learn complex non-linear patterns; limited to linear performance tracking 7. Limited Feature Engineering: Advanced Implementation: Dozens of engineered features, polynomial interactions (x², x³), dimensionality reduction (PCA, autoencoders), feature selection algorithms This Implementation: Raw agent scores and basic market metrics (RSI, ATR, volume ratio); minimal transformation Impact: May miss subtle cross-feature interactions; relies on agent-level intelligence rather than feature combinations 8. Single-Instrument Data: Full Implementation: Multi-asset correlation analysis (sector ETFs, currency pairs, volatility indices like VIX), lead-lag relationships, risk-on/risk-off regimes This Implementation: Only OHLCV data from displayed instrument Impact: Cannot incorporate broader market context; vulnerable to correlated moves across assets 9. Fixed Performance Horizon: Full Implementation: Adaptive horizon based on trade duration, volatility regime, or profit target achievement This Implementation: Fixed 8-bar evaluation window Impact: May evaluate too early in slow markets or too late in fast markets; one-size-fits-all approach Performance Impact Summary: These simplifications make the script: ✅ Faster: Executes in milliseconds vs. seconds (or minutes) for full academic implementations ✅ More Accessible: Runs on any TradingView plan without external data feeds, APIs, or compute servers ✅ More Transparent: All calculations visible in Pine Script (no black-box compiled models) ✅ Lower Resource Usage: <500 bars lookback, minimal memory footprint ⚠️ Less Precise: Approximations may reduce statistical edge by 5-15% vs. academic implementations ⚠️ Limited Scope: Cannot capture tick-level dynamics, multi-order-book interactions, or cross-asset flows ⚠️ Fixed Parameters: Some thresholds hardcoded rather than dynamically optimized When to Upgrade to Full Implementation: Consider professional Python/C++ versions with institutional data feeds if: Trading with >$100K capital where precision differences materially impact returns Operating in microsecond-competitive environments (HFT, market making) Requiring regulatory-grade audit trails and reproducibility Backtesting with tick-level precision for strategy validation Need true real-time adaptation with neural network-based learning For retail swing/day trading and position management, these approximations provide sufficient signal quality while maintaining usability, transparency, and accessibility. The core logic—multi-agent detection with adaptive selection—remains intact. Technical Notes All calculations use standard Pine Script built-in functions ( ta.ema, ta.atr, ta.rsi, ta.bb, ta.sma, ta.stdev, ta.vwap ) VPIN and Kyle's Lambda use simplified formulas optimized for OHLCV data (see "Lite" section above) Thompson Sampling uses pseudo-random noise from price/volume decimal digits for beta distribution sampling No repainting: All calculations use confirmed bar data (no forward-looking) Maximum lookback: 500 bars (set via max_bars_back parameter) Performance evaluation: 8-bar forward-looking window for reward calculation (clearly disclosed) Confidence threshold: Minimum 0.25 (25%) enforced on all signals Memory arrays: Dynamic sizing with FIFO queue management Limitations and Disclaimers Not Predictive: This indicator identifies patterns in historical data. It cannot predict future price movements with certainty. Requires Human Judgment: Signals are entry triggers, not complete trading strategies. Must be confirmed with your own analysis, risk management rules, and market context. Learning Period Required: The adaptive system requires 50-100 bars minimum to build statistically meaningful performance data for bandit algorithms. Overfitting Risk: Restoring memory parameters from one market regime to a drastically different regime (e.g., low volatility to high volatility) may cause poor initial performance until system re-adapts. Approximation Limitations: Simplified calculations (see "Lite" section) may underperform academic implementations by 5-15% in highly efficient markets. No Guarantee of Profit: Past performance, whether backtested or live-traded, does not guarantee future performance. All trading involves risk of loss. Forward-Looking Bias: Performance evaluation uses 8-bar forward window—this creates slight look-ahead for learning (though not for signals). Real-time performance may differ from indicator's internal statistics. Single-Instrument Limitation: Does not account for correlations with related assets or broader market regime changes. Recommended Settings Timeframe: 15-minute to 4-hour charts (sufficient volatility for ATR-based stops; adequate bar volume for learning) Assets: Liquid instruments with >100k daily volume (forex majors, large-cap stocks, BTC/ETH, major indices) Not Recommended: Illiquid small-caps, penny stocks, low-volume altcoins (microstructure metrics unreliable) Complementary Tools: Volume profile, order book depth, market breadth indicators, fundamental catalysts Position Sizing: Risk no more than 1-2% of capital per signal using ATR-based stop-loss Signal Filtering: Consider external confluence (support/resistance, trendlines, round numbers, session opens) Start With: Balanced mode, Thompson Sampling, Blend mode, default agent sensitivities (1.0) After 30+ Signals: Review agent win rates, consider increasing sensitivity of top performers or locking to dominant agent Alert Configuration The script includes built-in alert conditions: Long Signal: Fires when validated long entry confirmed Short Signal: Fires when validated short entry confirmed Alerts fire once per bar (after confirmation requirements met) Set alert to "Once Per Bar Close" for reliability Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Pine Script®指标
由DskyzInvestments提供
14
SD Levels + EMASD Levels + EMA Overview: The SD Levels + EMA indicator combines volatility-based standard deviation levels with dual EMA signals to help traders identify potential breakout zones, overextended regions, and trend shifts. It overlays key market structure levels directly on the chart, giving a clear visual roadmap of intraday and daily strength zones. 🧠 Core Features 1. Standard Deviation Levels (SD Module) Calculates volatility using annualized standard deviation from the selected source (hlc3 by default). Automatically plots: Settlement level ±0.33 SD, ±0.66 SD, ±1 SD, ±1.33 SD, ±1.66 SD, ±2 SD bands Optionally displays: Previous day’s high/low Current day’s running high/low These levels help spot volatility extremes, mean reversion zones, and breakout potential. 2. EMA Module Plots two customizable EMAs (default = 5 and 10 periods). Highlights bullish/bearish crossovers with clear up/down triangles. Generates alerts for crossover events. Includes an optional $-spaced grid (default $25) with user-defined levels above and below current price. 3. Visual & Utility Options Optional info table showing: Current Price EMA 5 EMA 10 Real-time trend direction (Bullish ↑, Bearish ↓, Neutral) Lightweight, non-repainting logic optimized for intraday timeframes. User-friendly inputs to toggle each module independently. ⚙️ Recommended Use Combine SD zones with EMA crossovers to confirm volatility-based breakouts or fade reversions near extremes. The extended ±SD ladder helps traders map confluence areas between volatility expansion and EMA momentum. 🛠 Customization Adjust SD sensitivity via level toggles and settlement source. Modify grid spacing, number of levels, and EMA periods. Enable/disable tables, labels, and individual components to match your charting style. 📢 Alerts 🔔 Bullish EMA Cross: EMA 5 crosses above EMA 10 🔔 Bearish EMA Cross: EMA 5 crosses below EMA 10 ⚡ Summary A hybrid indicator that merges volatility-based structure (SD levels) with trend-based momentum (EMA crosses)—ideal for traders who want to visualize both mean-reversion zones and trend continuation opportunities within a single tool.
Pine Script®指标
由thesyjaga提供
Liquidation Reversal Signals [AlgoAlpha]🟠 OVERVIEW This tool detects potential liquidation-driven reversals by combining z-score analysis of up/down volume with the classic Supertrend. It watches for abnormal surges in directional volume (on a lower timeframe) and links them to trend flips on the main chart. When both align within a short window, it flags a probable reversal caused by forced liquidations. The goal is to help traders identify exhaustion points where aggressive liquidation moves may mark the end of a trend leg. 🟠 CONCEPTS The logic revolves around Z-score normalization of up and down volume to locate statistical extremes. When up-volume z-scores exceed a threshold during a bearish Supertrend, it implies trapped shorts being squeezed; the opposite applies for long liquidations. The script tracks these liquidation spikes and monitors whether a Supertrend regime change follows soon after. If confirmed within the allowed timeout, a colored signal marks the event. In essence: Z-score outliers = potential forced liquidations. Supertrend = structural regime context. Combined = statistically confirmed reversal signals, not random flips. This pairing reduces false positives by ensuring that both volatility structure and order-flow extremes agree before flagging a reversal. 🟠 FEATURES Z-score detection for liquidation spikes with adjustable lookback and threshold. Confirmation logic linking liquidations to Supertrend flips. Alerts for liquidation spikes and confirmed reversal starts. On-chart “No Volume” warning to avoid misreads on illiquid assets. 🟠 USAGE Setup : Add the script to your main chart. Choose a lower timeframe (default 15m) to capture more granular liquidation flows. Adjust Z-Score Length to control how far back the script measures normal behavior and Threshold to decide what counts as extreme. Keep Timeout Bars low (e.g. 20–50) for faster reversals, or higher for slower markets. Read the chart :  • Circles appear below bars when long liquidations occur; above bars for short liquidations.  • A Supertrend flip with a recent liquidation spike will display an arrow and color shift.  • Fills between candles and trend lines show which side dominates: green for bullish reversal, red for bearish.  • Candle color fades based on the magnitude of liquidation pressure. Settings that matter :  • Z-Score Length : Longer smooths noise but delays signal; shorter reacts faster.  • Z-Score Threshold : Higher means only extreme liquidations trigger; lower finds smaller squeezes.  • Timeout Bars : Defines how long after a liquidation the Supertrend flip remains valid.  • Lower Timeframe : Determines the precision of volume readings; too low may increase noise.
Pine Script®指标
由AlgoAlpha提供
19
Quantura - Liquidity Sweep & Run LevelsIntroduction “Quantura – Liquidity Sweep & Run Levels” is a structural price-action indicator designed to automatically detect swing-based liquidity zones and visualize potential sweep and run events. It helps traders identify areas where liquidity has likely been taken (sweep) or released (run), improving precision in market structure analysis and timing of entries or exits. Originality & Value This tool translates institutional liquidity concepts into an automated visual framework. Instead of simply marking highs and lows, it dynamically monitors swing points, tracks their breaches, and identifies subsequent reactions. The indicator is built to highlight the liquidity dynamics that often precede reversals or continuations. Its originality lies in: Automatic identification and tracking of swing highs and lows. Real-time detection of broken levels and liquidity sweeps. Distinction between “Run” and “Sweep” modes for different market behaviors. Persistent historical visualization of liquidity levels using clean line structures. Configurable signal markers for bullish and bearish sweep confirmations. Functionality & Core Logic Detects swing highs and lows using a user-defined Swing Length parameter. Stores and updates all swing levels dynamically with arrays for efficient memory handling. Draws horizontal lines from each detected swing point to visualize potential liquidity zones. Monitors when price breaks a swing level and marks that event as “broken.” Generates signals when the market either sweeps above/below or runs away from those levels, depending on the chosen mode. Provides optional visual signal markers (“▲” for bullish sweeps, “▼” for bearish sweeps). Parameters & Customization Mode: Choose between “Sweep” (detects liquidity grabs) or “Run” (detects breakout continuations). Swing Length: Sets the sensitivity for detecting swing highs/lows. A higher value focuses on larger structures, while smaller values detect micro liquidity points. Bullish Color / Bearish Color: Customize color themes for sweep/run lines and signal markers. Signals: Enables or disables visual up/down markers for confirmed events. Visualization & Display Horizontal lines represent potential liquidity levels (unbroken swing highs/lows). Once broken, lines automatically stop extending, marking the moment liquidity is taken. Depending on the selected mode: “Sweep” mode identifies false breaks or stop-hunt behavior. “Run” mode highlights breakouts that continue the trend. Colored arrows indicate the direction and type of liquidity reaction. Clean, non-intrusive visualization suitable for overlaying on price charts. Use Cases Detect liquidity sweeps before major reversals. Identify breakout continuations after liquidity runs. Combine with Supply/Demand or FVG indicators for multi-layered confirmation. Validate liquidity bias in algorithmic or discretionary strategies. Analyze market manipulation patterns and institutional stop-hunting behavior. Limitations & Recommendations This indicator identifies structural behavior but does not guarantee trade direction or profitability. Works best on liquid markets with clear swing structures (e.g., crypto, forex, indices). Signal interpretation should be combined with confluence tools such as volume, order flow, or structure-based filters. Excessively small swing settings may cause over-signaling in volatile markets. Markets & Timeframes Optimized for all major asset classes — including crypto, Forex, indices, and equities — and for intraday to higher-timeframe structural analysis (5-minute up to daily charts). Author & Access Developed 100% by Quantura. Published as a Open-source script indicator. Access is free. Compliance Note This description fully complies with TradingView’s Script Publishing Rules and House Rules . It avoids performance claims, provides transparency on methodology, and clearly describes indicator behavior and limitations.
Pine Script®指标
由Quantura提供
MACD Overlay v1 [JopAlgo]Meet the MACD you can trade directly from the chart. MACD Overlay v1 doesn’t just plot an oscillator somewhere below— it puts value, momentum, and participation on your candles, and it refuses to fire inside chop. When a triangle prints, it’s because energy released (expansion), not because the chart looked cute. What it is: An execution-ready MACD overlay with phase gating (Expansion-Only), participation gating (Weakness-Lite), and one-click Classic vs VW-MACD Compare—all adaptive, with minimal inputs. What’s in v1 (feature set) Overlay ribbon on price: Fast/Slow MACD value rendered as a price-level ribbon with contextual fill and optional candle tint. Dual value model: Classic MA-MACD (EMA/SMA) and VW-MACD (Rolling VWAP fast/slow). Compare mode: A/B Classic vs VW-MACD with a VW ghost ribbon. Weakness-Lite (1-bar, adaptive): Gates/fades low-participation crosses using RVOL deficit, Effort-vs-Result failure, and over-extension vs value/ATR (Strict adds wick pressure). Expansion-Only (Impulse/Squeeze): Triangles print only when a cross coincides with a true-range burst and a histogram-slope ignition out of compression. Signal hygiene: ±1-bar proximity around crosses, slope awareness, 2-bar debounce. Explainable filtering: Tiny gray dots show crosses that were intentionally filtered (weak and/or no expansion). How to use: Use defaults: Mode Classic, Gate by Weakness ON, Expansion-Only ON, Sensitivity Auto. Read signals fast: Solid triangle = cross + expansion confirmed (+ not weak if gate is ON). Faded triangle = cross + expansion but weak participation (visible only when gate is OFF). Gray dot = there was a cross, but it was filtered (no genuine expansion or weak & gated). Validate quickly: Flip Compare to check VW-MACD agreement. Classic + VW alignment usually improves confidence. Why overlay > sub-pane oscillator You see where the cross occurs: relative to value, local structure, and S/R, right on price. The ribbon exposes regime shifts; tint hints expansion vs contraction at a glance. Execution becomes more context-aware and less “signal-in-a-vacuum.” Signals & visuals Triangles (solid): MACD crossed Signal and market showed expansion out of compression; if Gate by Weakness is ON, triangle prints only with acceptable participation. Triangles (faded): Same as above but weak (shown only when you turn the gate OFF). Gray dots: Crosses that were filtered (no expansion and/or Weakness gate). Ribbon: Fast vs Slow value (Classic or VW, according to Mode). Fill and candle tint reflect expansion/contraction. Inputs Calculation Mode: Classic | VW | Compare VW uses Rolling VWAP fast/slow. Compare: Classic is primary; VW shows as a ghost ribbon for A/B checks. Gate triangles by Weakness: ON/OFF Uses RVOL, Effort-vs-Result, extension vs value/ATR (Strict adds wick-pressure). Sensitivity: Off / Auto / Strict (default Auto). Expansion-Only (Impulse/Squeeze): ON/OFF Requires compression → release: tight ribbon + flat momentum, then TR/ATR burst with hist slope flip / cross proximity. Display: Ribbon / Candle Tint / Weakness Markers. Advanced (optional): Evaluate Weakness only near signals, Channel (k × |MACD|), Style Preset. No numeric thresholds to tune—all filters self-calibrate from rolling stats. Best practices 4H crypto: Defaults are strong—Auto, Gate ON, Expansion-Only ON. Clean trends: If you feel you miss some tidy resumptions, briefly toggle Expansion-Only OFF. Choppy regimes: Set Sensitivity → Strict to cut more noise without adding lag. Confirmation: Use Compare; Classic + VW alignment typically yields better follow-through. Alerts MACD Signal Cross Up/Down — execution-grade (use Once per bar close). Weakness-Lite Flag — optional context alert to help audit filtered crosses. Attribution & License Attribution: Based on the algorithmic concept of TradingView’s built-in MACD (fast MA – slow MA, signal, histogram). No original TradingView source code is redistributed; overlay rendering, VW-MACD, Weakness-Lite, Expansion-Only, gating visuals, and UX are new work. License: MPL-2.0. Educational purposes only—not financial advice.
Pine Script®指标
由JopAlgo提供
2