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Live Bollinger Buy/Sell Signal + Custom EMA by RAJU📌 DESCRIPTION Live Bollinger Buy/Sell Signal is a price-action-based entry system built on Bollinger Bands. This indicator automatically detects high-probability reversal points when price interacts with the outer Bollinger Bands and provides instant Buy & Sell signals directly on the chart. It is designed for traders who want clean and fast signals without complex settings. ________________________________________ 🧠 LOGIC OF INDICATOR The indicator uses a standard Bollinger Band setup (SMA + Standard deviation). A Buy or Sell signal is triggered when a candle forms outside or near the Bollinger Band extremes and then reverses direction. This behaviour often indicates a potential trend reversal or strong bounce from volatility exhaustion. ________________________________________ ⚙ USER INPUT Setting Description Bollinger Band Length SMA period length used to form Bollinger Bands (Default: 20) Std.Dev Multiplier Standard deviation multiplier for upper/lower bands (Default: 2.0) ________________________________________ 🟩 LONG CONDITION (Buy Signal) A Buy signal is plotted when: • The candle closes bullish (close > open) • The candle opens below the lower Bollinger Band • The candle closes back above the lower Bollinger Band • The next candle must trade above signal candle • If a candle before or after signal candle closes without touching 5 EMA then probability of reversal is high (optional) This indicates a strong price rejection from oversold levels. ________________________________________ 🟥 SHORT CONDITION (Sell Signal) A Sell signal is plotted when: • The candle closes bearish (close < open) • The candle opens above the upper Bollinger Band • The candle closes back below the upper Bollinger Band • The next candle must trade below signal candle • If a candle before or after signal candle closes without touching 5 EMA then probability of reversal is high (optional) This indicates a strong rejection from overbought levels. ________________________________________ 📤 LONG EXIT Users may exit long trades when: • A Sell signal appears and signal candle closes without touching 5 EMA, or • Price reaches the middle SMA line, or • Personal trailing stop or resistance level is reached ________________________________________ 📥 SHORT EXIT Users may exit short trades when: • A Buy signal appears and signal candle closes without touching 5 EMA, or • Price reaches the middle SMA line, or • Personal trailing stop or support level is reached ________________________________________ 🌟 WHY IT IS UNIQUE • Extremely simple yet powerful price-action confirmation mechanism • No repainting — signals appear only after candle close • Works across all timeframes and markets (Crypto, Forex, Stocks, Indices) • Built-in signal level plotting to verify correct candle positioning • Fast visual signal markers without clutter ________________________________________ 💹 HOW USER CAN BE BENEFITED FROM THIS • Helps traders catch early reversal entries with high probability • Reduces emotional decision-making with visual Buy/Sell arrows • Ideal for scalping, intraday, and swing strategies • Can be used as an entry confirmation with other indicators like RSI, MACD, or trend filters • Helps avoid false breakouts by confirming rejection from volatility extremes ________________________________________ ⚠ DISCLAIMER: This tool is for educational purposes only and not trading advice. Always use proper risk management.
Indicateur Pine Script®
par RAJUPD
Sniper BB + VWAP System (with SMT Divergence Arrows)STEP 1: Load two correlated futures charts. Example: CL + RB/SI+GC/ NQ+ES STEP 2: Add Bollinger Bands (20, 2.0) on both. Optional add (20, 3.0). STEP 3: Watch for a BB tag on one chart but not the other. STEP 4: Wait for a reclaim candle back inside the band. STEP 5: Enter with stop below/above the wick + 3.0 BB. STEP 6: Scale out midline, then opposite band. STEP 7: Hold partials when both pairs confirm trend. *You can take the vwap bands off the chart if it is too cluttered.
Indicateur Pine Script®
par the1nepercent
1
Mizan v5 - L-Score (Minimal)DESCRIPTION: The Architecture of Market Probability Mizan v5 is not just another technical indicator; it is a quantitative implementation of the "Ontological Probability" philosophy. It is designed to decipher the market's hidden intent by analyzing the relationship between Balance, Order, and Harmony (DDU Principles). Unlike standard oscillators that blindly follow price action, Mizan v5 operates on a multi-dimensional logic structure to separate "Market Noise" from "True Momentum." CORE LOGIC & FEATURES 1. The L-Score Engine (Composite Momentum) The heart of this algorithm is the "L-Score," a weighted composite index that answers the question: "Is the move supported by energy and mass?" It fuses three distinct market dimensions into a single actionable score (0-100): Volume Flow (45% Weight): Uses customized Chaikin Money Flow (CMF) logic to detect "Smart Money" accumulation before price reacts. Velocity (35% Weight): Uses CCI to measure the speed of the breakout. Saturation (20% Weight): Uses RSI as a limiter to identify overextended conditions. 2. Adaptive Regime Detection (The Histogram Logic) Markets are not linear; they switch between "Global" and "Local" realities. Mizan v5 calculates statistical Price Density Zones (similar to Market Profile logic) to find the "Fair Value." Global Mode: Analyzes the long-term balance (70 bars). Local Mode: Automatically switches focus to short-term volatility (20 bars) when a "Regime Change" (high deviation) is detected. HOW TO USE 1. The L-Score Line (Signal): 🟢 GREEN Line (> 65): Bullish Phase. Volume and Momentum are aligned. High probability of continuation. 🔴 RED Line (< 45): Bearish/Neutral Phase. Lack of energy. Avoid long positions ("Don't catch a falling knife"). 🟠 ORANGE Line: Indecision/Transition zone. 2. Background Zones (Valuation): 🟩 Green Background: "Statistical Cheap Zone." Price is below the density band. Potential for Mean Reversion (Dip Buying). 🟥 Red Background: "Statistical Expensive Zone." Price is extended above the density band. High risk of Distribution (Selling). PHILOSOPHY "Chaos is merely order waiting to be deciphered." This tool is the visual manifestation of the "Cosmic Architect" project, aiming to bridge the gap between abstract philosophy and algorithmic trading. Disclaimer: This tool is for educational and analytical purposes only. It is not financial advice. © MuratKavak | Idea Architect
Indicateur Pine Script®
par muratkavak02
Gold Thai CompassGold Thai Compass Indicator Calculates Thai Gold Price (96.5%) by converting XAU/USD with the USD/THB exchange rate in real time Displays the calculated gold_price_thb directly on the chart with a clean right-aligned label for easy price reading Includes customizable reference lines — add, remove, rename, recolor, and adjust each line independently Supports multiple editable lines (e.g., 4 levels) with price labels displayed beside each line Provides user-friendly input settings (e.g., custom price sources, spread/adjustment options) Updates dynamically with live market data — suitable for trading, analysis, and Thai gold price tracking Designed for TradingView (Pine Script) and optimized for clarity and usability Optional visibility controls to show/hide labels and reference lines for a cleaner chart layout
Indicateur Pine Script®
par stocxadvisor
Filter Wave1. Indicator Name Filter Wave 2. One-line Introduction A visually enhanced trend strength indicator that uses linear regression scoring to render smoothed, color-shifting waves synced to price action. 3. General Overview Filter Wave+ is a trend analysis tool designed to provide an intuitive and visually dynamic representation of market momentum. It uses a pairwise comparison algorithm on linear regression values over a lookback period to determine whether price action is consistently moving upward or downward. The result is a trend score, which is normalized and translated into a color-coded wave that floats above or below the current price. The wave's opacity increases with trend strength, giving a visual cue for confidence in the trend. The wave itself is not a raw line—it goes through a three-stage smoothing process, producing a natural, flowing curve that is aesthetically aligned with price movement. This makes it ideal for traders who need a quick visual context before acting on signals from other tools. While Filter Wave+ does not generate buy/sell signals directly, its secure and efficient design allows it to serve as a high-confidence trend filter in any trading system. 4. Key Advantages 🌊 Smooth, Dynamic Wave Output 3-stage smoothed curves give clean, flowing visual feedback on market conditions. 🎨 Trend Strength Visualized by Color Intensity Stronger trends appear with more solid coloring, while weak/neutral trends fade visually. 🔍 Quantitative Trend Detection Linear regression ordering delivers precise, math-based trend scoring for confidence assessment. 📊 Price-Synced Floating Wave Wave is dynamically positioned based on ATR and price to align naturally with market structure. 🧩 Compatible with Any Strategy No conflicting signals—Filter Wave+ serves as a directional overlay that enhances clarity. 🔒 Secure Core Logic Core algorithm is lightweight and secure, with minimal code exposure and strong encapsulation. 📘 Indicator User Guide 📌 Basic Concept Filter Wave+ calculates trend direction and intensity using linear regression alignment over time. The resulting wave is rendered as a smoothed curve, colored based on trend direction (green for up, red for down, gray for neutral), and adjusted in transparency to reflect trend strength. This allows for fast trend interpretation without overwhelming the chart with signals. ⚙️ Settings Explained Lookback Period: Number of bars used for pairwise regression comparisons (higher = smoother detection) Range Tolerance (%): Threshold to qualify as an up/down trend (lower = more sensitive) Regression Source: The price input used in regression calculation (default: close) Linear Regression Length: The period used for the core regression line Bull/Bear Color: Customize the color for bullish and bearish waves 📈 Timing Example Wave color changes to green and becomes more visible (less transparent) Wave floats above price and aligns with an uptrend Use as trend confirmation when other signals are present 📉 Timing Example Wave shifts to red and darkens, floating below the price Regression direction down; price continues beneath the wave Acts as bearish confirmation for short trades or risk-off positioning 🧪 Recommended Use Cases Use as a trend confidence overlay on your existing strategies Especially useful in swing trading for detecting and confirming dominant market direction Combine with RSI, MACD, or price action for high-accuracy setups 🔒 Precautions This is not a signal generator—intended as a trend filter or directional guide May respond slightly slower in volatile reversals; pair with responsive indicators Wave position is influenced by ATR and price but does not represent exact entry/exit levels Parameter optimization is recommended based on asset class and timeframe
Indicateur Pine Script®
par c9indicator
Ultimate Multi-Asset Correlation System by able eiei Ultimate Multi-Asset Correlation System - User Guide Overview This advanced TradingView indicator combines WaveTrend oscillator analysis with comprehensive multi-asset correlation tracking. It helps traders understand market relationships, identify regime changes, and spot high-probability trading opportunities across different asset classes. Key Features 1. WaveTrend Oscillator Main Signal Lines: WT1 (blue) and WT2 (red) plot momentum and its moving average Overbought/Oversold Zones: Default levels at +60/-60 Cross Signals: 🟢 Bullish: WT1 crosses above WT2 in oversold territory 🔴 Bearish: WT1 crosses below WT2 in overbought territory Higher Timeframe (HTF) Analysis: Shows WT1 from 4H, Daily, and Weekly timeframes for trend confirmation 2. Multi-Asset Correlation Tracking Monitors relationships between: Major Assets: Gold (XAUUSD), Dollar Index (DXY), US 10-Year Yield, S&P 500 Crypto Assets: Bitcoin, Ethereum, Solana, BNB Cross-Asset Analysis: Correlation between traditional markets and crypto 3. Market Regime Detection Automatically identifies market conditions: Risk-On: High correlation + positive sentiment (🟢 Green background) Risk-Off: High correlation + negative sentiment (🔴 Red background) Crypto-Risk-On: Strong crypto correlations (🟠 Orange background) Low-Correlation: Divergent market behavior (⚪ Gray background) Neutral: Mixed signals (🟡 Yellow background) How to Use Basic Setup Add to Chart: Apply the indicator to any chart (works on all timeframes) Choose Display Mode (Display Options): All: Shows everything (recommended for comprehensive analysis) WaveTrend Only: Focus on momentum signals Correlation Only: View market relationships Heatmap Only: Simplified correlation view Enable Asset Groups: ✅ Major Assets: Traditional markets (stocks, bonds, commodities) ✅ Crypto Assets: Digital currencies Mix and match based on your trading focus Reading the Charts WaveTrend Section (Bottom Panel) Above 0 = Bullish momentum Below 0 = Bearish momentum Above +60 = Overbought (potential reversal) Below -60 = Oversold (potential bounce) Lighter lines = Higher timeframe trends Correlation Histogram (Colored Bars) Blue bars: Major asset correlations Orange bars: Crypto correlations Purple bars: Cross-asset correlations Bar height: Correlation strength (-50 to +50 scale) Background Color Intensity reflects correlation strength Color shows market regime Dashboard Elements 🎯 Market Regime Analysis (Top Left) Current Regime: Overall market condition Average Correlation: Strength of relationships (0-1 scale) Risk Sentiment: -100% (risk-off) to +100% (risk-on) HTF Alignment: Multi-timeframe trend agreement Signal Quality: Confidence level for current signals 📊 Correlation Matrix (Top Right) Shows correlation values between asset pairs: 1.00: Perfect positive correlation 0.75+: Strong correlation (🟢 Green) 0.50+: Medium correlation (🟡 Yellow) 0.25+: Weak correlation (🟠 Orange) Below 0.25: Negative/no correlation (🔴 Red) 🔥 Correlation Heatmap (Bottom Right) Visual matrix showing: Gold vs. DXY, BTC, ETH DXY vs. BTC, ETH BTC vs. ETH Color-coded strength 📈 Performance Tracker (Bottom Left) Tracks individual asset momentum: WT1 Values: Current momentum reading Status: OB (overbought) / OS (oversold) / Normal Trading Strategies 1. High-Probability Trend Following ✅ Entry Conditions: WaveTrend bullish/bearish cross HTF Alignment matches signal direction Signal Quality > 70% Correlation supports direction 2. Regime Change Trading 🎯 Watch for regime shifts: Risk-Off → Risk-On = Consider long positions High correlation → Low correlation = Reduce position size Crypto-Risk-On = Focus on crypto longs 3. Divergence Trading 🔍 Look for: Strong correlation breakdown = Potential volatility Cross-asset correlation surge = Follow the leader Volume-price correlation extremes = Trend confirmation 4. Overbought/Oversold Reversals ⚡ Trade reversals when: WT crosses in extreme zones (-60/+60) HTF alignment shows opposite trend weakening Correlation confirms mean reversion setup Customization Tips Fine-Tuning Parameters WaveTrend Core: Channel Length (10): Lower = more sensitive, Higher = smoother Average Length (21): Adjust for your timeframe Correlation Settings: Length (50): Longer = more stable, Shorter = more responsive Smoothing (5): Reduce noise in correlation readings Market Regime: Risk-On Threshold (0.6): Lower = earlier regime signals High Correlation Threshold (0.75): Adjust sensitivity Custom Asset Selection Replace default symbols with your preferred markets: Major Assets: Any forex, indices, bonds Crypto: Any digital currencies Must use correct exchange prefix (e.g., BINANCE:BTCUSDT) Alert System Enable "Advanced Alerts" to receive notifications for: ✅ Market regime changes ✅ Correlation breakdowns/surges ✅ Strong signals with high correlation ✅ Extreme volume-price correlation ✅ Complete HTF alignment Correlation Interpretation Guide ValueMeaningTrading Implication+0.75 to +1.0Strong positiveAssets move together+0.5 to +0.75Moderate positiveGenerally aligned+0.25 to +0.5Weak positiveLoose relationship-0.25 to +0.25No correlationIndependent movements-0.5 to -0.25Weak negativeSlight inverse relationship-0.75 to -0.5Moderate negativeTend to move opposite-1.0 to -0.75Strong negativeStrongly inversely correlated Best Practices Use Multiple Timeframes: Check HTF alignment before trading Confirm with Correlation: Strong signals work best with supportive correlations Watch Regime Changes: Adjust strategy based on market conditions Volume Matters: Enable volume-price correlation for confirmation Quality Over Quantity: Trade only high-quality setups (>70% signal quality) Common Patterns to Watch 🔵 Risk-On Environment: Gold-BTC positive correlation DXY negative correlation with risk assets High crypto correlations 🔴 Risk-Off Environment: Flight to safety (Gold up, stocks down) DXY strength Correlation breakdowns 🟡 Transition Periods: Low correlation across assets Mixed HTF signals Use caution, reduce position sizes Technical Notes Calculation Period: Uses HLC3 (average of high, low, close) Correlation Window: Rolling correlation over specified length HTF Data: Accurately calculated using security() function Performance: Optimized for real-time calculation on all timeframes Support For optimal performance: Use on 15-minute to daily timeframes Enable only needed asset groups Adjust correlation length based on trading style Combine with your existing strategy for confirmation Enjoy comprehensive multi-asset analysis! 🚀
Indicateur Pine Script®
par Able-terminal
2
Kernel Channel [BackQuant]Kernel Channel A non-parametric, kernel-weighted trend channel that adapts to local structure, smooths noise without lagging like moving averages, and highlights volatility compressions, expansions, and directional bias through a flexible choice of kernels, band types, and squeeze logic. What this is This indicator builds a full trend channel using kernel regression rather than classical averaging. Instead of a simple moving average or exponential weighting, the midline is computed as a kernel-weighted expectation of past values. This allows it to adapt to local shape, give more weight to nearby bars, and reduce distortion from outliers. You can think of it as a sliding local smoother where you define both the “window” of influence (Window Length) and the “locality strength” (Bandwidth). The result is a flexible midline with optional upper and lower bands derived from kernel-weighted ATR or kernel-weighted standard deviation, letting you visualize volatility in a structurally consistent way. Three plotting modes help demonstrate this difference: When the midline is shown alone, you get a smooth, adaptive baseline that behaves almost like a regression moving average, as shown in this view: When full channels are enabled, you see how standard deviation reacts to local structure with dynamically widening and tightening bands, a mode illustrated here: When ATR mode is chosen instead of StdDev, band width reflects breadth of movement rather than variance, creating a volatility-aware envelope like the example here: Why kernels Classical moving averages allocate fixed weights. Kernels let the user define weighting shape: Epanechnikov — emphasizes bars near the current bar, fades fast, stable and smooth. Triangular — linear decay, simple and responsive. Laplacian — exponential decay from the current point, sharper reactivity. Cosine — gentle periodic decay, balanced smoothness for trend filters. Using these in combination with a bandwidth parameter gives fine control over smoothness vs responsiveness. Smaller bandwidths give sharper local sensitivity, larger bandwidths give smoother curvature. How it works (core logic) The indicator computes three building blocks: 1) Kernel-weighted midline For every bar, a sliding window looks back Window Length bars. Each bar in this window receives a kernel weight depending on: its index distance from the present the chosen kernel shape the bandwidth parameter (locality) Weights form the denominator, weighted values form the numerator, and the resulting ratio is the kernel regression mean. This midline is the central trend. 2) Kernel-based width You choose one of two band types: Kernel ATR — ATR values are kernel-averaged, producing a smooth, volatility-based width that is not dependent on variance. Ideal for directional trend channels and regime separation. Kernel StdDev — local variance around the midline is computed through kernel weighting. This produces a true statistical envelope that narrows in quiet periods and widens in noisy areas. Width is scaled using Band Multiplier , controlling how far the envelope extends. 3) Upper and lower channels Provided midline and width exist, the channel edges are: Upper = midline + bandMult × width Lower = midline − bandMult × width These create smooth structures around price that adapt continuously. Plotting modes The indicator supports multiple visual styles depending on what you want to emphasize. When only the midline is displayed, you get a pure kernel trend: a smooth regression-like curve that reacts to local structure while filtering noise, demonstrated here: This provides a clean read on direction and slope. With full channels enabled, the behavior of the bands becomes visible. Standard deviation mode creates elastic boundaries that tighten during compressions and widen during turbulence, which you can see in the band-focused demonstration: This helps identify expansion events, volatility clusters, and breakouts. ATR mode shifts interpretation from statistical variance to raw movement amplitude. This makes channels less sensitive to outliers and more consistent across trend phases, as shown in this ATR variation example: This mode is particularly useful for breakout systems and bar-range regimes. Regime detection and bar coloring The slope of the midline defines directional bias: Up-slope → green Down-slope → red Flat → gray A secondary regime filter compares close to the channel: Trend Up Strong — close above upper band and midline rising. Trend Down Strong — close below lower band and midline falling. Trend Up Weak — close between midline and upper band with rising slope. Trend Down Weak — close between lower band and midline with falling slope. Compression mode — squeeze conditions. Bar coloring is optional and can be toggled for cleaner charts. Squeeze logic The indicator includes non-standard squeeze detection based on relative width , defined as: width / |midline| This gives a dimensionless measure of how “tight” or “loose” the channel is, normalized for trend level. A rolling window evaluates the percentile rank of current width relative to past behavior. If the width is in the lowest X% of its last N observations, the script flags a squeeze environment. This highlights compression regions that may precede breakouts or regime shifts. Deviation highlighting When using Kernel StdDev mode, you may enable deviation flags that highlight bars where price moves outside the channel: Above upper band → bullish momentum overextension Below lower band → bearish momentum overextension This is turned off in ATR mode because ATR widths do not represent distributional variance. Alerts included Kernel Channel Long — midline turns up. Kernel Channel Short — midline turns down. Price Crossed Midline — crossover or crossunder of the midline. Price Above Upper — early momentum expansion. Price Below Lower — downward volatility expansion. These help automate regime changes and breakout detection. How to use it Trend identification The midline acts as a bias filter. Rising midline means trend strength upward, falling midline means downward behavior. The channel width contextualizes confidence. Breakout anticipation Kernel StdDev compressions highlight areas where price is coiling. Breakouts often follow narrow relative width. ATR mode provides structural expansion cues that are smooth and robust. Mean reversion StdDev mode is suitable for fade setups. Moves to outer bands during low volatility often revert to the midline. Continuation logic If price breaks above the upper band while midline is rising, the indicator flags strong directional expansion. Same logic for breakdowns on the lower band. Volatility characterization Kernel ATR maps raw bar movements and is excellent for identifying regime shifts in markets where variance is unstable. Tuning guidance For smoother long-term trend tracking Larger window (150–300). Moderate bandwidth (1.0–2.0). Epanechnikov or Cosine kernel. ATR mode for stable envelopes. For swing trading / short-term structure Window length around 50–100. Bandwidth 0.6–1.2. Triangular for speed, Laplacian for sharper reactions. StdDev bands for precise volatility compression. For breakout systems Smaller bandwidth for sharp local detection. ATR mode for stable envelopes. Enable squeeze highlighting for identifying setups early. For mean-reversion systems Use StdDev bands. Moderate window length. Highlight deviations to locate overextended bars. Settings overview Kernel Settings Source Window Length Bandwidth Kernel Type (Epanechnikov, Triangular, Laplacian, Cosine) Channel Width Band Type (Kernel ATR or Kernel StdDev) Band Multiplier Visuals Show Bands Color Bars By Regime Highlight Squeeze Periods Highlight Deviation Lookback and Percentile settings Colors for uptrend, downtrend, squeeze, flat Trading applications Trend filtering — trade only in direction of the midline slope. Breakout confirmation — expansion outside the bands while slope agrees. Squeeze timing — compression periods often precede the next directional leg. Volatility-aware stops — ATR mode makes channel edges suitable for adaptive stop placement. Structural swing mapping — StdDev bands help locate midline pullbacks vs distributional extremes. Bias rotation — bar coloring highlights when regime shifts occur. Notes The Kernel Channel is not a signal generator by itself, but a structural map. It helps classify trend direction, volatility environment, distribution shape, and compression cycles. Combine it with your entry and exit framework, risk parameters, and higher-timeframe confirmation. It is designed to behave consistently across markets, to avoid the bluntness of classical averages, and to reveal subtle curvature in price that traditional channels miss. Adjust kernel type, bandwidth, and band source to match the noise profile of your instrument, then use squeeze logic and deviation highlighting to guide timing.
Indicateur Pine Script®
par BackQuant
Oracle Pivot Engine (OPE) — @darshaksscThe Oracle Pivot Engine (OPE) is a market-structure visualization tool that derives all its levels exclusively from historical price data — specifically, the previous day’s high, low, and mid-range. It does not provide signals, alerts, entries, exits, predictions, or trade recommendations. Instead, it creates a non-repainting reference framework that helps users observe how the current session interacts with the prior session’s completed price structure. All calculations are analytical, static, and based on fully closed candles. 🧠 How It Works (Core Logic Explained) OPE computes the following values from the completed prior daily candle: Prior-Day High Prior-Day Low Prior-Day Midpoint Displacement Range = High − Low This displacement range is used to generate symmetrical upward and downward reference zones. These levels do not update during the session. They refresh only once per day when a new daily candle closes. This ensures the indicator remains fully non-repainting and stable on every intraday chart. 📐 Reference Levels Generated Using the fixed prior-day displacement range, OPE plots: 1. BUY-Side Reference Map (Upward Bias) BUY Reference Entry BUY Reference Stop BUY T1 BUY T2 BUY T3 BUY T4 BUY T5 BUY T6 These are not trade signals — they are mathematical extensions above the prior-day midpoint for structural interpretation only. 2. SELL-Side Reference Map (Downward Bias) SELL Reference Entry SELL Reference Stop SELL T1 SELL T2 SELL T3 SELL T4 SELL T5 SELL T6 Again, these levels are not directives. They are mirrored displacement extensions below the prior-day midpoint. 📊 Pivot Zone & Bands The indicator includes optional visual layers derived from the same prior-day pivots: Pivot High–Low Zone Shading → shows the prior-day full range Pivot Midline → prior-day mid-price Outer Displacement Bands → extended contextual boundaries These are purely visual boundaries meant to improve market context. 🧾 Dashboard / HUD Explanation A compact on-chart HUD summarizes all values. It displays: Section | Information (All Historical) Prior-Day Pivots | High, Low, Mid, Range BUY Map | Entry, Stop, T1–T6 SELL Map | Entry, Stop, T1–T6 The HUD allows you to quickly review: Where the current price is relative to the previous day’s structure How far price is from each level Whether the session is operating inside or outside the prior-day displacement zones Everything shown is static, non-repainting , and for reference only . 📊 How to Analyze It ✔ 1. Contextual Awareness OPE helps users visually compare current intraday price to prior daily structure. You can observe whether price is: Inside yesterday’s high/low zone Above the prior-day displacement Below the prior-day displacement This offers a clearer understanding of daily context and volatility. ✔ 2. Structural Symmetry The BUY-side and SELL-side maps extend from the same pivot logic. This can help visualize: Expansion away from the prior-day midpoint Compression within the prior-day range Symmetrical displacement around key reference levels Again — these are observational insights , not signals. ✔ 3. Range Interaction As the session unfolds, users often study: How price reacts around prior-day midpoint Whether price is gravitating toward or away from the displacement levels How intraday swings behave within these historical boundaries This type of analysis is contextual , not predictive. ⚠️ Important Disclosures This script does NOT generate trading signals. It does NOT predict future price movement. It does NOT contain advice, instructions, recommendations, or strategies. All levels are derived exclusively from historical daily candle data . This is strictly an informational visualization tool meant to support chart analysis. Past price levels do not guarantee any future price behavior. 🛑 Disclaimer This indicator is provided solely for educational and informational purposes. It should not be interpreted as financial advice or a call to action of any kind. Users should apply independent judgment and discretion when analyzing markets.
Indicateur Pine Script®
par darshakssc
3x ORB Alerts (JSON webhook, 3 ORBs)2× ORB Alerts (JSON Webhook, ORB4 + ORB5) is a clean, lightweight multi-session Opening Range Breakout (ORB) alert engine designed for automated trading systems using TradingView webhooks. This indicator provides up to 3 independent ORB windows, each with: Custom session time Custom cutoff time (HHMM or HH:MM) First-close breakout detection (Up or Down) Dedicated alert conditions Persistent ORB range + breakout price Full JSON webhook output for bots No boxes, no lines, no visual clutter (performance-optimized) ✔️ What this indicator does Tracks ORB high/low during the selected session Locks the range once the session ends Waits for a valid breakout (close > high or close < low) Triggers alerts only once per ORB per day Sends a clean JSON payload to your trading bot ✔️ Webhook JSON includes Symbol Timeframe ORB window number (1–3) Breakout direction Break price ORB range ATR (optional filtering) Close price Timestamp Custom API key ✔️ Why this script exists This indicator is built specifically for automated ORB trading bots, where reliability, clean signals, and low-latency alerts are critical. No repainting, no noise — just clear breakout confirmations for fully automated systems. ✔️ Use Cases Futures (GC, NQ, ES, CL, FDAX, etc.) Forex session breakout strategies Crypto ORB systems (BTC, ETH) Multi-session automated strategies Proprietary trading automation ✔️ How to use Set up 1,2,3 ORB sessions Add corresponding alert conditions Select "Once per bar close" Paste your webhook URL Your trading bot receives a JSON package on every breakout
Indicateur Pine Script®
par uhlirnorman
Absorption Meter — M15/M5/M3Absorption Meter — EMA200 + Wick + Absorption Combo Absorption Meter is a synthetic orderflow/absorption tool built only on OHLCV data. It plots two lines — Buy Absorption and Sell Absorption — plus optional EMA200-based reversion and trend-continuation signals. The idea is to highlight where aggressive buyers or sellers are likely being absorbed, not rewarded. The script uses a simple delta/CVD proxy (volume signed by candle direction), volume z-scores, candle structure (wicks vs body), VWAP proximity, and distance from EMA200. For each bar it builds two scores from 0–100: • Buy Absorption (green): high when selling pressure is strong (negative delta and CVD slope), volume is above normal, the candle is wicky/inefficient, price is near VWAP, and the bar looks like a stall or has a strong lower wick. This suggests shorts are hitting into bids and being absorbed. • Sell Absorption (red): high when buying pressure is strong (positive delta and CVD slope), volume is above normal, the candle is wicky, price is near VWAP, and the bar looks like a stall or has a strong upper wick. This suggests longs are hitting into offers and being absorbed. I use this mostly as contrarian context: high Buy Absorption near lows is a reason to stop chasing shorts and look for long/cover zones; high Sell Absorption near highs is a reason to stop chasing longs and look for short/profit zones. It is not a stand-alone “buy/sell” signal. On top of the lines, the script can draw arrows and fire alerts when several conditions align: • EMA200 mean reversion (price stretched from EMA200, recent big wick, strong absorption). • Optional base VWAP triggers (absorption near VWAP). • Optional strong distance-only reversions. • Optional trend-bias continuation (on the right side of EMA200 with supportive slope and absorption/wicks). Key settings (short overview): • Z-Score and Volume Z lookbacks: control how “unusual” delta, CVD and volume must be. • ATR Length: used for volatility, gates, and EMA distance. • Weights (Delta, CVD Slope, Volume Z, 1–Body Efficiency, VWAP Proximity): control how much each component contributes to the score. • Gates (Small Move, Wick Size, Soft Factor): control how strict the bar structure must be to count as absorption. • EMA200 / StdDev / distance thresholds: control when EMA reversion logic activates. • Big Wick filters (min wick vs ATR, wick percent, body percent, reclaim rules, min volume Z): define what a real “rejection wick” looks like. • Session filter and cooldown: restrict signals to your session and avoid arrow spam. This is a context tool: it shows where aggressive volume is running into resistance or support so you can make better decisions around chasing, fading, or taking profits.
Indicateur Pine Script®
par polishquant
2x ORB Alerts (JSON webhook, ORB4 + ORB5)2× ORB Alerts (JSON Webhook, ORB4 + ORB5) is a clean, lightweight multi-session Opening Range Breakout (ORB) alert engine designed for automated trading systems using TradingView webhooks. This indicator provides 2 independent ORB windows, each with: Custom session time Custom cutoff time (HHMM or HH:MM) First-close breakout detection (Up or Down) Dedicated alert conditions Persistent ORB range + breakout price Full JSON webhook output for bots No boxes, no lines, no visual clutter (performance-optimized) ✔️ What this indicator does Tracks ORB high/low during the selected session Locks the range once the session ends Waits for a valid breakout (close > high or close < low) Triggers alerts only once per ORB per day Sends a clean JSON payload to your trading bot ✔️ Webhook JSON includes Symbol Timeframe ORB window number (4&5) Breakout direction Break price ORB range ATR (optional filtering) Close price Timestamp Custom API key ✔️ Why this script exists This indicator is built specifically for automated ORB trading bots, where reliability, clean signals, and low-latency alerts are critical. No repainting, no noise — just clear breakout confirmations for fully automated systems. ✔️ Use Cases Futures (GC, NQ, ES, CL, FDAX, etc.) Forex session breakout strategies Crypto ORB systems (BTC, ETH) Multi-session automated strategies Proprietary trading automation ✔️ How to use Set up to 4&5 ORB sessions Add corresponding alert conditions Select "Once per bar close" Paste your webhook URL Your trading bot receives a JSON package on every breakout
Indicateur Pine Script®
par uhlirnorman
Abacus Community Williams %R + Bollinger %B📌 Indicator Description (Professional & Clear) Williams %R + Bollinger %B Momentum Indicator (ThinkOrSwim Style) This custom indicator combines Williams %R and Bollinger %B into a single, unified panel to provide a powerful momentum-and-positioning view of price action. Modeled after the ThinkOrSwim version used by professional traders, it displays: ✅ Williams %R (10-period) – Yellow Line This oscillator measures the market's position relative to recent highs and lows. It plots on a 0% to 100% scale, where: 80–100% → Overbought region 20–0% → Oversold region 50% → Momentum equilibrium Williams %R helps identify exhaustion, trend strength, and potential reversal zones. ✅ Bollinger %B (20, 2.0) – Turquoise Histogram Bars %B shows where price is trading relative to the Bollinger Bands: Above 50% → Price is in the upper half of the band (bullish pressure) Below 50% → Price is in the lower half (bearish pressure) Near 100% → Price pushing upper band (possible breakout) Near 0% → Price testing lower band (possible breakdown) The histogram visually represents momentum shifts in real time, creating a clean profile of volatility and strength. 🎯 Why This Combination Works Together, Williams %R and Bollinger %B reveal: Momentum direction Overbought/oversold conditions Volatility compression & expansion Trend continuation vs reversal zones High-probability inflection points Williams %R shows oscillation and exhaustion, while %B shows pressure inside volatility bands. The combination helps identify whether momentum supports the current trend or is weakening. 🔍 Use Cases Detect early trend reversals Validate breakouts and breakdowns Spot momentum failure in price extremes Confirm pullbacks and continuation setups Time entries and exits with higher precision 💡 Best For Swing traders Momentum traders Trend-followers Options traders (for timing premium decay or volatility expansion)
Indicateur Pine Script®
par gadielvasquez1988
Opening Range Box, 2 SessionsOpening Range & Session Box Indicator This indicator automatically draws Opening Range (OR) boxes and Session Boxes based on specific time zone settings, helping you visualize key trading periods across different global markets. Key Features: Custom Sessions: Define two independent trading sessions (e.g., New York and London). Time Zone Selection: Choose the exact time zone for each session from a simple dropdown menu, ensuring accurate session mapping regardless of your chart's time zone. Opening Range Definition: The initial portion of each session (defined by the Opening Range Minutes input) establishes the high and low of the box. Offset Lines: Automatically draws two percentage offset lines inside the box, allowing you to easily track price movement relative to the Opening Range high and low (e.g., 10% retracement levels). How to Use the Inputs: Session A/B Timezone - Select the time zone for Session A (e.g., America/New_York). Session A/B Time - Define the start and end time for Session A (e.g., 0930-1600). Opening Range Minutes - Set how long the initial opening range period lasts (e.g., 30 minutes). Percent from High/Low for Line - Set the percentage distance for the inner offset lines (e.g., 10.0 for 10% retracement). Number of Boxes to Show - Controls the number of historical session boxes and lines that remain visible on the chart.
Indicateur Pine Script®
par AndSem
Orbital Barycenter Matrix @darshaksscThe Orbital Barycenter Matrix is a visual, informational-only tool that models how price behaves around a dynamically calculated barycenter —a type of moving equilibrium derived entirely from historical price data. Instead of focusing on signals, this indicator focuses on market structure symmetry, distance, compression, expansion, and volatility-adjusted movement. This script does not predict future price and does not provide buy/sell signals . All values and visuals come solely from confirmed historical data , in full compliance with TradingView policy. 📘 How the Indicator Works 1. Dynamic Barycenter (Core Mean Line) The barycenter is calculated from a smoothed blend of historical price components. It represents the center of mass around which price tends to oscillate. This is not a forecast line—only a representation of historical average behavior. 2. Orbital Rings (Distance Zones) Around the barycenter, the indicator draws several “orbital rings.” Each ring shows a volatility-scaled distance from the barycenter using ATR-based calculations. These rings help visualize: How far price has drifted from its historical center Whether price is moving in an inner, mid, or outer region How volatility influences the spacing of the rings Rings do not imply future targets and are informational only. 3. Orbital Extension Range Beyond the outermost ring, a wider band (extension range) shows a high-volatility reference distance. It represents extended displacement relative to past price behavior—not a projected target. 4. Orbit Trail (Motion Trace) The Orbit Trail plots small circles behind price, helping visualize how price has moved through the orbital regions over time. Colors adjust with “pressure” (distance from center), making compression and expansion easy to observe. 5. Satellite Nodes (Swing Markers) Confirmed swing highs and lows (using fixed pivots) are marked as small dots. Their color reflects the orbital zone they formed in, giving context to how significant or extended each pivot was. These swing markers do not repaint because they use confirmed pivots. 6. Pressure & Distance Calculations The indicator converts price displacement away from the barycenter into a pressure metric, scaled between 0%–100%. Higher pressure means price is further from its historical center relative to volatility. The dashboard displays: Zone classification ATR-based distance Pressure level A small intensity gauge All are informational readings—no direction or forecast. 📊 Key Features ✔ Dynamic barycenter core ✔ Up to four orbital rings ✔ Informational orbital extension band ✔ Visual orbit trail showing recent movement ✔ Non-repainting satellite swing nodes ✔ Distance & pressure analytics ✔ Fully adjustable HUD ✔ Always-visible floating dashboard (screen-anchored) ✔ Zero repainting on confirmed elements ✔ 100% sourced from historical data only ✔ Policy-safe: no predictions, no signals, no targets 🎯 What to Look For 1. How close price is to the barycenter This can reveal whether price is in: The inner region The mid zone The outer region The extended field 2. Pressure level Shows how “stretched” price is relative to its past behavior. 3. Satellite nodes Indicate where confirmed pivots formed and in which orbital band. 4. Ring interactions Observe how price moves between rings—inside, outside, or oscillating around them. 5. Color changes in the orbit trail These show changes in market compression/expansion. 🧭 How to Read the Indicator Inner Orbit Price close to its historical equilibrium. Mid Orbit Moderate displacement from typical range. Outer Orbit Historically extended movement. Beyond Extension Field Price has moved further than usual relative to historical volatility. These are descriptive conditions only , not trade recommendations. 🛠 How to Apply It on the Chart Use the barycenter to understand where price has historically balanced. Observe how volatility changes the spacing between rings. Use pressure readings to identify when price is compressed, neutral, or extended. Use swing nodes to contextualize historical pivot formation. Watch how price interacts with rings to better understand rhythm, velocity, and structural behavior. This tool is meant to enhance visual understanding—not to generate trade entries or exits. ⚠️ Important Disclosure This indicator is strictly informational. It does not predict or project future price movement. It does not provide buy/sell/long/short signals. All lines, zones, and values are derived solely from past market data. Any interpretation is at the user’s discretion.
Indicateur Pine Script®
par darshakssc
FBB Buy/Sell ProDisclaimer : This script is for educational purposes only and does not constitute financial advice. Use at your own risk. FBB Buy/Sell Pro is a volatility based reversal tool that builds a dynamic channel around a volume weighted moving average and highlights potential turning points at the extremes. The indicator paints a smooth "funnel" of bands around price and generates Buy/Sell labels when candles reject the outer zones, helping you spot exhaustion and mean reversion opportunities in trending or ranging markets. Signals are based on price interaction with the outer bands combined with candle direction, optionally filtered by RSI to reduce noise. When enabled, the built in TP/SL module projects an ATR based stop and target using a configurable risk to reward ratio and clearly draws entry, risk and reward zones directly on the chart. For tracking performance, FBB Pro includes an on chart statistics table that simulates trades using your own base capital, leverage and fee settings. It displays net profit, number of trades and win rate so you can quickly evaluate how the logic behaves on different symbols and timeframes. Key features Dynamic FBB volatility channel around VWMA with smooth gradient visualization Clear reversal Buy/Sell labels at outer band reactions with optional RSI filter Automatic TP/SL projection based on ATR and custom risk to reward Realistic stats module with leverage and fee simulation shown in a compact table Works on most markets and timeframes. It is recommended to combine FBB Buy/Sell Pro with your own higher timeframe context and risk management.
Indicateur Pine Script®
par CrossiDev
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