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AMT CVD [hardiman]โ–ˆ OVERVIEW AMT CVD is a Cumulative Volume Delta indicator with a unique numeric labeling system designed for the Auction Market Theory (AMT) methodology by Fabio Valentino. Instead of just showing CVD as a line, this indicator displays numeric labels (+3, +2, +1, 0, -1, -2, -3) and "A" for Absorption, making it easy to identify the current phase of the AMT workflow at a glance. โ–ˆ KEY FEATURES โ€ข CVD with numeric aggression labels (+3 to -3) โ€ข "A" label for Absorption detection (high volume + price stagnation) โ€ข Automatic Exhaustion detection (aggression fading) โ€ข Entry signal markers (L for Long, S for Short) โ€ข Real-time workflow dashboard โ€ข Compact Mode for mobile users โ€ข Customizable thresholds and colors โ€ข Built-in alerts for each phase โ–ˆ THE NUMERIC LABEL SYSTEM BUYER AGGRESSION: โ€ข +3 = Extremely aggressive buying (delta > 3.5x average) โ€ข +2 = Strong buying pressure (delta > 2.5x average) โ€ข +1 = Mild buying pressure (delta > 1.5x average) SELLER AGGRESSION: โ€ข -1 = Mild selling pressure (delta > 1.5x average) โ€ข -2 = Strong selling pressure (delta > 2.5x average) โ€ข -3 = Extremely aggressive selling (delta > 3.5x average) SPECIAL LABELS: โ€ข 0 = Neutral / Exhaustion (no significant aggression) โ€ข A = Absorption (high volume but price doesn't move) โ–ˆ AMT WORKFLOW The indicator tracks the complete AMT entry workflow: 1๏ธโƒฃ AGGRESSION โ†’ Look for +2/+3 or -2/-3 labels 2๏ธโƒฃ ABSORPTION โ†’ Wait for "A" label (price held despite aggression) 3๏ธโƒฃ EXHAUSTION โ†’ Watch labels decrease toward 0 4๏ธโƒฃ ENTRY โ†’ Reversal label appears (direction change) SHORT SETUP EXAMPLE (at resistance): +1 โ†’ +2 โ†’ +3 โ†’ A โ†’ A โ†’ +1 โ†’ 0 โ†’ -1 โ†’ ENTRY SHORT LONG SETUP EXAMPLE (at support): -1 โ†’ -2 โ†’ -3 โ†’ A โ†’ A โ†’ -1 โ†’ 0 โ†’ +1 โ†’ ENTRY LONG โ–ˆ DASHBOARD The dashboard shows real-time status: โ€ข Stage: Current workflow phase (1-5) โ€ข Aggression: Current numeric level โ€ข Absorption: โœ“ NOW / โ—‹ RECENT / โœ— NONE โ€ข Exhaustion: โœ“ YES / โ—‹ NO โ€ข Signal: WAIT / WATCH / READY / LONG / SHORT โ–ˆ HOW TO USE 1. Add this indicator to a separate pane below your chart 2. Use TradingView's built-in SVP HD for key levels (POC/VAH/VAL) 3. Add AMT VWAP for bias determination 4. Wait for price to reach a key level 5. Watch the CVD labels for the AMT sequence 6. Enter when the dashboard shows "READY" or entry signal appears โ–ˆ RECOMMENDED SETUP Complete AMT toolkit: โ€ข Main Chart: SVP HD (built-in) + AMT VWAP โ€ข Lower Pane: AMT CVD (this indicator) Timeframes: โ€ข Higher TF (H1/H4): Identify structure and key levels โ€ข Entry TF (15m): Execute using this CVD indicator โ–ˆ SETTINGS Display: โ€ข Compact Mode - Simplified view for mobile โ€ข Show Numeric Labels - Toggle the +3/-3 labels โ€ข Label Size - Adjust for your preference โ€ข Dashboard Position - Move to any corner CVD Settings: โ€ข Relative Length - Period for threshold calculation (default: 20) โ€ข Threshold 1/2/3 - Multipliers for aggression levels Absorption: โ€ข Volume Multiplier - How much above average = high volume (default: 1.5x) โ€ข Price Threshold - Max price change % for absorption (default: 0.1%) Colors: โ€ข Fully customizable for buyer/seller/absorption โ–ˆ ALERTS โ€ข Absorption Detected - "A" label appears โ€ข Exhaustion Detected - Aggression fading to 0 โ€ข Long Entry Signal - Full sequence complete for long โ€ข Short Entry Signal - Full sequence complete for short โ–ˆ IMPORTANT NOTES โš ๏ธ CVD APPROXIMATION: This indicator approximates volume delta from OHLC data. For more accurate CVD, consider using exchange-native order flow tools or Volume Suite by Leviathan as a reference. โš ๏ธ CONFIRMATION REQUIRED: Signals should be confirmed with: โ€ข Price at key level (VAH/VAL/POC) โ€ข Visual rejection (wicks) โ€ข Higher timeframe bias alignment โ–ˆ METHODOLOGY Based on Auction Market Theory by Fabio Valentino: "Don't predict, READ the market. Wait for evidence: Aggression โ†’ Absorption โ†’ Exhaustion โ†’ then Execute." Core principles: โ€ข Location is more important than technique โ€ข Be wrong immediately (tight stops at invalidation) โ€ข Evidence-based entries only โ–ˆ CREDITS Based on Auction Market Theory methodology by Fabio Valentino. Designed for traders who want a systematic, evidence-based approach. If this helps your trading, please leave a like! ๐Ÿ‘ Questions? Drop a comment below. ``` --- ## TAGS (for TradingView) ``` cvd, cumulative-volume-delta, volume-delta, order-flow, auction-market-theory, amt, fabio-valentino, absorption, exhaustion, aggression, entry-signal, day-trading, intraday, volume-analysis, delta ``` --- ## CATEGORY ``` Volume ```
Penunjuk Pine Scriptยฎ
oleh hardimans351
byquan AlphaTrend + Supertrend ComboAlphaTrend + Supertrend Combo (Confirmation-Based Indicator) Description AlphaTrend + Supertrend Combo is a confirmation-based technical indicator that combines momentum-sensitive trend tracking with ATR-based trend structure. The script is designed to highlight situations where two independent trend-following methods agree within a short time window, helping users visually identify moments of potential trend alignment. This indicator is intended for technical analysis and educational use only. Conceptual Idea The core concept of this indicator is confirmation, not prediction. Instead of relying on a single signal source, the script observes: A volatility-adjusted trend line (AlphaTrend) A price-structure-based trend switch (Supertrend) A signal is displayed only when both methods confirm each other within a limited number of bars. Indicator Components 1. AlphaTrend Module AlphaTrend is calculated using: ATR-based dynamic levels Momentum evaluation via: Money Flow Index (MFI), or RSI when volume data is unavailable This module adapts its direction based on market momentum and volatility, producing trend transition events rather than continuous signals. 2. Supertrend Module The Supertrend component uses: ATR-based bands Price crossing logic to define trend direction changes Supertrend acts as a structural trend confirmation layer, reacting to changes in price behavior relative to volatility. 3. Confirmation Window Logic Rather than requiring both indicators to trigger on the exact same bar, the script introduces a bar-based confirmation window: When one indicator produces a signal The script waits up to a user-defined number of bars If the second indicator confirms within this window, the signal is considered valid This approach allows for natural timing differences between indicators while avoiding long-delayed confirmations. Signal Logic Summary BUY confirmation AlphaTrend signals bullish direction Supertrend confirms bullish direction within the waiting window SELL confirmation AlphaTrend signals bearish direction Supertrend confirms bearish direction within the waiting window Signals are displayed only when both conditions are satisfied. Inputs Overview Confirmation Bars Defines how many bars the script waits for the second indicator to confirm AlphaTrend Settings Period, multiplier, source, and volume handling options Supertrend Settings ATR period, multiplier, and calculation method All parameters are user-adjustable to support different instruments and timeframes. Intended Use This indicator is designed to be used as: A confirmation or alignment tool A visual aid for studying trend behavior A supporting layer within a broader analysis framework It is not intended to: Predict market direction Serve as a complete trading system Replace risk management or personal judgment Technical Notes The script is rule-based and deterministic No repainting logic is used Signals depend strictly on historical and current bar data Results may vary across symbols, sessions, and timeframes Attribution & Transparency This script represents a custom integration and modification of widely known technical analysis concepts, including: AlphaTrend-style volatility-adjusted trend tracking Supertrend ATR-based trend logic These methods are commonly documented in technical analysis literature. The implementation, parameter structure, and confirmation logic reflect a personal adaptation and combination, not a claim of originality over the underlying concepts. Disclaimer This indicator is provided for educational and analytical purposes only. It does not constitute financial advice, investment recommendations, or an invitation to trade. Past behavior does not guarantee future outcomes.
Penunjuk Pine Scriptยฎ
oleh teshakiestler
VWAP + Hull MA Scalping PRO//@version=6 indicator("VWAP + Hull MA Scalping PRO", overlay=true) // ================= INPUTS ================= src = input.source(close, "Source") // Hull MA lengths len5 = input.int(5, "HMA 5") len9 = input.int(9, "HMA 9") len18 = input.int(18, "HMA 18") len34 = input.int(34, "HMA 34") // ================= FUNCTIONS ================= hma(src, length) => ta.wma( 2 * ta.wma(src, length / 2) - ta.wma(src, length), math.round(math.sqrt(length)) ) // ================= CALCULATIONS ================= hma5 = hma(src, len5) hma9 = hma(src, len9) hma18 = hma(src, len18) hma34 = hma(src, len34) vwapVal = ta.vwap(close) // ================= DYNAMIC COLORS ================= c5 = hma5 > hma5 ? color.lime : color.red c9 = hma9 > hma9 ? color.green : color.maroon c18 = hma18 > hma18 ? color.aqua : color.orange c34 = hma34 > hma34 ? color.blue : color.purple // ================= TREND LOGIC ================= bullTrend = hma5 > hma9 and hma9 > hma18 and hma18 > hma34 and close > vwapVal bearTrend = hma5 < hma9 and hma9 < hma18 and hma18 < hma34 and close < vwapVal // ================= ENTRY SIGNALS ================= buySignal = bullTrend and ta.crossover(hma5, hma9) sellSignal = bearTrend and ta.crossunder(hma5, hma9) // ================= PLOTS ================= plot(vwapVal, "VWAP", color=color.yellow, linewidth=2) plot(hma5, "HMA 5", color=c5, linewidth=2) plot(hma9, "HMA 9", color=c9, linewidth=2) plot(hma18, "HMA 18", color=c18, linewidth=2) plot(hma34, "HMA 34", color=c34, linewidth=2) // ================= SIGNAL MARKERS ================= plotshape(buySignal, title="BUY", location=location.belowbar, color=color.lime, style=shape.triangleup, size=size.small, text="BUY") plotshape(sellSignal, title="SELL", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small, text="SELL") // ================= BACKGROUND TREND ================= bgcolor(bullTrend ? color.new(color.green, 92) : bearTrend ? color.new(color.red, 92) : na) // ================= ALERTS ================= alertcondition(buySignal, title="BUY Alert", message="{{ticker}} BUY | VWAP + HMA") alertcondition(sellSignal, title="SELL Alert", message="{{ticker}} SELL | VWAP + HMA")
Penunjuk Pine Scriptยฎ
oleh Mandadi9
SLT Pocket Pivot VolumeThis is an implementation of the Pocket Pivot volume, below I added an explanation from Gemini about this concept. This indicator shows the following: 1. Pocket Pivot days (blue bars) - Days where the volume is above average (50 days), and volume is larger than any down volume from the prev 10 days, and the close is at the upper half of the range. 2. Above avg up days - Up days where volume is above average (green bars). 3. Above avg down days - Down days where volume is above average (red bars). (From Gemini) A Pocket Pivot is a technical trading signal developed by Gil Morales and Dr. Chris Kacher, two former internal portfolio managers for William J. Oโ€™Neil (founder of Investorโ€™s Business Daily). The strategy was designed to identify institutional accumulation (large-scale buying by banks or hedge funds) while a stock is still within a consolidation base. This allows traders to enter a position before the stock makes a traditional high-volume breakout, providing a better risk-reward ratio and a "head start" on the crowd. 1. The Core Volume Signature The defining characteristic of a pocket pivot is its volume. Unlike a standard breakout which compares today's volume to a 50-day average, a pocket pivot is relative to recent "down" days. The Rule: The current day's up-volume must be larger than the highest down-volume day of the previous 10 trading days (my implementation also requires that a Pocket Pivot day volume will be above average). The Logic: This shows that the buying interest is more aggressive than any selling pressure seen in the last two weeks, signaling that "big money" is stepping in to support the stock. 2. Key Identification Rules To be a valid pocket pivot, the price action must meet several criteria beyond just volume: Location: It must occur within a constructive "base" (like a cup-and-handle or flat base) or as a continuation point as the stock moves up along its 10-day moving average. Moving Averages: The price should be emerging from or supported by the 10-day or 50-day moving average. Strong Close: The stock should close in the upper half of its daily price range, ideally showing a gain for the day. Avoid "V" Patterns: Do not buy if the stock is recovering in a sharp "V" shape directly from a deep sell-off; look for "rounding" or "tightness" in the price action first.
Penunjuk Pine Scriptยฎ
oleh SidelinesTrader
ATR Momentum Status v.2ATR Momentum Status Version 2 locked ATR Momentum Status (Bar-Close Confirmed) In previous versions, the ATR momentum status could change intrabar while the candle was still forming. In v.2, the ATR momentum is calculated only after the candle closed and is locked until the next candle closes. Why this matters: Prevents repainting or intrabar flipping Ensures what you see on the dashboard is fully confirmed Makes replay mode and backtesting reliable How Traders Use It: This tool is best used as a confirmation layer, not a standalone signal. Common use cases: - Confirming FVG / CE acceptance - Validating displacement candles - Filtering trades to only Strong / Expansion conditions - Avoiding entries during weak or declining volatility Key Concept: Price can move without momentum, but momentum confirms intent. With the ATR status locked after candle close, v.2 ensures every ATR reading represents real, confirmed market participation, making it safer for execution-based strategies.
Penunjuk Pine Scriptยฎ
oleh inzuddin
Sawaes StrategyHereโ€™s a **clear TradingView-style description** you can use directly in the indicatorโ€™s **Description** field or when sharing it publicly. --- ## ๐Ÿ“ˆ Sawaes Strategy โ€“ Buy & Sell Signal (SuperTrend-Based) ### ๐Ÿ”น Overview **Sawaes Strategy** is a trend-following indicator based on a **custom SuperTrend calculation** using **ATR (Average True Range)**. It is designed to identify **trend direction**, **dynamic support/resistance**, and provide **clear buy and sell signals** when price confirms a trend change. The indicator plots a colored trailing line on the chart and generates visual arrows for entries, making it suitable for **intraday, swing, and positional trading**. --- ### ๐Ÿ”น How It Works 1. **ATR Volatility Measurement** * Uses ATR to measure market volatility. * The ATR value is multiplied by a user-defined **Factor** to adapt to different markets and timeframes. 2. **Dynamic Trend Lines** * A **SuperTrend trailing stop line** is calculated above or below price. * The line moves only in the direction of the current trend, preventing whipsaws. 3. **Trend Direction** * ๐ŸŸข **Green line** โ†’ Uptrend (Bullish) * ๐Ÿ”ด **Red line** โ†’ Downtrend (Bearish) 4. **Trend Switching** * Trend flips when price decisively crosses the trailing stop line. * Entry arrows appear only on confirmed trend changes. --- ### ๐Ÿ”น Buy & Sell Signals #### ๐ŸŸข Buy Signal * Price crosses **above** the SuperTrend line * Price closes **above** the trailing stop * Trend changes from **bearish to bullish** * Displayed as: * Green **triangle up** * Green **arrow up** on trend reversal #### ๐Ÿ”ด Sell Signal * Price crosses **below** the SuperTrend line * Price closes **below** the trailing stop * Trend changes from **bullish to bearish** * Displayed as: * Red **triangle down** * Red **arrow down** on trend reversal --- ### ๐Ÿ”น Inputs * **Factor** Controls sensitivity. * Higher value โ†’ fewer signals, stronger trends * Lower value โ†’ more signals, faster reactions * **ATR Period** Defines how volatility is calculated. --- ### ๐Ÿ”น Best Use Cases โœ” Trending markets โœ” Index, Forex, Crypto, Stocks โœ” Works on all timeframes โœ” Can be combined with: * Volume confirmation * RSI / MACD * Support & Resistance --- ### ๐Ÿ”น Risk Management Tips * Use the SuperTrend line as a **dynamic stop-loss** * Trail stops along the colored trend line * Avoid choppy or sideways markets * Confirm higher-timeframe trend for better accuracy --- ### ๐Ÿ”น Alerts The indicator includes: * ๐Ÿ“ข Buy alert * ๐Ÿ“ข Sell alert These can be used for automation or mobile notifications. --- If you want, I can: * Rewrite this as a **short public TradingView description** * Add **disclaimer text** * Convert it into a **strategy with backtesting** * Optimize parameters for **crypto / forex / indices** Just tell me ๐Ÿ‘
Penunjuk Pine Scriptยฎ
oleh Sawa_Trading
AMT VWAP [hardi]โ–ˆ OVERVIEW AMT VWAP is a clean, minimalist VWAP indicator with Standard Deviation bands, designed to complement the Auction Market Theory (AMT) trading methodology by Fabio Valentino. This indicator focuses on one thing and does it well: displaying VWAP and its deviation bands clearly on your chart. โ–ˆ FEATURES - Daily VWAP with automatic reset - ยฑ1 Standard Deviation bands (cyan) - ยฑ2 Standard Deviation bands (orange) - extreme zones - Clean labels that don't clutter your chart - Info table showing current bias and zone - Compact Mode for mobile/smartphone users - Fully customizable colors and settings - Built-in alerts for all levels โ–ˆ HOW TO USE VWAP (Volume Weighted Average Price) represents the "fair value" where most volume has transacted. In AMT methodology: BIAS DETERMINATION: - Price ABOVE VWAP = Bullish bias (buyers in control) - Price BELOW VWAP = Bearish bias (sellers in control) TRADING ZONES: - ยฑ1 SD: Normal deviation zone - potential mean reversion area - ยฑ2 SD: Extreme zone - high probability reversal area (95%+ reversion rate) ENTRY STRATEGIES: 1. Trend Following: Buy pullbacks to VWAP in uptrend, sell rallies to VWAP in downtrend 2. Mean Reversion: Fade moves at ยฑ2 SD bands with confirmation โ–ˆ RECOMMENDED SETUP Use this indicator together with: - TradingView's built-in "SVP HD" (Session Volume Profile) for POC/VAH/VAL levels - AMT CVD indicator (companion indicator) for order flow analysis This combination gives you the complete AMT toolkit: - SVP HD โ†’ Key levels (POC, VAH, VAL) - AMT VWAP โ†’ Dynamic support/resistance & bias - AMT CVD โ†’ Aggression, Absorption, Exhaustion signals โ–ˆ SETTINGS Display Settings: - Compact Mode - Enable for cleaner mobile view - Show Labels - Toggle level labels - Label Size - Adjust for your screen VWAP Settings: - Band Multipliers - Adjust SD band distance (default: 1.0 and 2.0) - Colors - Fully customizable - Line widths - Adjust visibility Alerts: - Near VWAP - Near ยฑ1 SD - Near ยฑ2 SD (extreme zones) โ–ˆ METHODOLOGY This indicator is based on Auction Market Theory as taught by Fabio Valentino: "The market is a continuous auction seeking fair value. VWAP represents this fair value dynamically throughout the session. Deviations from VWAP create trading opportunities as price tends to revert to the mean." Key principles: - Read, don't predict - Location over technique - Evidence-based entries โ–ˆ ALERTS Set alerts for: - Price approaching VWAP (potential support/resistance) - Price at ยฑ1 SD (first deviation - watch for reaction) - Price at ยฑ2 SD (extreme - high probability reversal zone) โ–ˆ NOTES - Works on all timeframes - Best used on 15m for intraday entries - VWAP resets daily at market open - Combine with volume profile for best results โ–ˆ CREDITS Based on Auction Market Theory methodology by Fabio Valentino. Indicator developed for the trading community. If you find this useful, please leave a like! ๐Ÿ‘ vwap, volume-weighted-average-price, standard-deviation, bands, auction-market-theory, amt, fabio-valentino, mean-reversion, trend-following, intraday, day-trading, support-resistance, fair-value
Penunjuk Pine Scriptยฎ
oleh hardimans351
SMC BOS Strategy 1:1 RRThe SMC BOS Strategy 1:1 RR is a Smart Money Conceptsโ€“based trading strategy designed to capture high-probability market continuation moves after a Break of Structure (BOS). It focuses on trading in the direction of institutional momentum with clear risk control. ๐Ÿ“Œ Core Concept Markets move in structure (higher highs & higher lows in an uptrend, lower highs & lower lows in a downtrend). A Break of Structure (BOS) occurs when price closes beyond a previous swing high or swing low, signaling that smart money may be pushing price in a new or continued direction. โš™๏ธ Strategy Rules 1๏ธโƒฃ Market Structure Identification Swing highs and swing lows define key structure levels. These levels act as institutional decision points. 2๏ธโƒฃ Break of Structure (BOS) Bullish BOS: Price closes above the previous structure high. Bearish BOS: Price closes below the previous structure low. 3๏ธโƒฃ Trade Entry Buy after a bullish BOS. Sell after a bearish BOS. Entry is taken at the close of the BOS candle. 4๏ธโƒฃ Risk Management (1:1 RR) Stop Loss (SL): Long trades โ†’ below previous structure low. Short trades โ†’ above previous structure high. Take Profit (TP): Set equal to the stop-loss distance (1:1 riskโ€“reward). ๐Ÿ“Š Why 1:1 Riskโ€“Reward? Ensures high win-rate focus. Suitable for scalping and intraday trading. Protects capital with consistent, controlled risk. โœ… Key Advantages โœ” Clear and objective rules โœ” Institutional price-action logic (SMC) โœ” Automatic stop loss & take profit โœ” Works on Forex, Gold, Crypto, Indices โœ” Easy to backtest and optimize
Strategi Pine Scriptยฎ
oleh QAZIFXTRADER
Quantum Reversal Detector [JOAT] Quantum Reversal Detector - Multi-Factor Reversal Probability Analysis Introduction and Purpose Quantum Reversal Detector is an open-source overlay indicator that combines multiple reversal detection methods into a unified probability-based framework. The core problem this indicator addresses is the unreliability of single-factor reversal signals. A price touching support means nothing without momentum confirmation; an RSI oversold reading means nothing without price structure context. This indicator solves that by requiring multiple independent factors to align before generating reversal signals, then expressing the result as a probability score rather than a binary signal. Why These Components Work Together The indicator combines five analytical approaches, each addressing a different aspect of reversal detection: 1. RSI Extremes - Identifies momentum exhaustion (overbought/oversold) 2. MACD Crossovers - Confirms momentum direction change 3. Support/Resistance Proximity - Ensures price is at a significant level 4. Multi-Depth Momentum - Analyzes momentum across multiple timeframes 5. Statistical Probability - Quantifies reversal likelihood using Bayesian updating These components are not randomly combined. Each filter catches reversals that others miss: RSI catches momentum exhaustion but misses structural reversals MACD catches momentum shifts but lags price action S/R proximity catches structural levels but ignores momentum Multi-depth momentum catches divergences across timeframes Probability scoring combines all factors into actionable confidence levels How the Detection System Works Step 1: Pattern Detection The indicator first identifies potential reversal conditions: // Check if price is at support/resistance float lowestLow = ta.lowest(low, period) float highestHigh = ta.highest(high, period) bool atSupport = low <= lowestLow * 1.002 bool atResistance = high >= highestHigh * 0.998 // Check RSI conditions float rsi = ta.rsi(close, 14) bool oversold = rsi < 30 bool overbought = rsi > 70 // Check MACD crossover float macd = ta.ema(close, 12) - ta.ema(close, 26) float signal = ta.ema(macd, 9) bool macdBullish = ta.crossover(macd, signal) bool macdBearish = ta.crossunder(macd, signal) // Combine for reversal detection if atSupport and oversold and macdBullish bullishReversal := true Step 2: Multi-Depth Momentum Analysis The indicator calculates momentum across multiple periods to detect divergences: calculateQuantumMomentum(series float price, simple int period, simple int depth) => float totalMomentum = 0.0 for i = 0 to depth - 1 int currentPeriod = period * (i + 1) float momentum = ta.roc(price, currentPeriod) totalMomentum += momentum totalMomentum / depth This creates a composite momentum reading that smooths out noise while preserving genuine momentum shifts. Step 3: Bayesian Probability Calculation The indicator uses Bayesian updating to calculate reversal probability: bayesianProbability(series float priorProb, series float likelihood, series float evidence) => float posterior = evidence > 0 ? (likelihood * priorProb) / evidence : priorProb math.min(math.max(posterior, 0.0), 1.0) The prior probability starts at 50% and updates based on: RSI extreme readings increase likelihood MACD crossovers increase likelihood S/R proximity increases likelihood Momentum divergence increases likelihood Step 4: Confidence Intervals Using Monte Carlo simulation concepts, the indicator estimates price distribution: monteCarloSimulation(series float price, series float volatility, simple int iterations) => float sumPrice = 0.0 float sumSqDiff = 0.0 for i = 0 to iterations - 1 float randomFactor = (i % 10 - 5) / 10.0 float simulatedPrice = price + volatility * randomFactor sumPrice += simulatedPrice float avgPrice = sumPrice / iterations // Calculate standard deviation for confidence intervals This provides 95% and 99% confidence bands around the current price. Signal Classification Signals are classified by confirmation level: Confirmed Reversal : Pattern detected for N consecutive bars (default 3) High Probability : Confirmed + Bayesian probability > 70% Ultra High Probability : High probability + PDF above average Dashboard Information The dashboard displays: Bayesian Probability - Updated reversal probability (0-100%) Quantum Momentum - Multi-depth momentum average RSI - Current RSI value with overbought/oversold status Volatility - Current ATR as percentage of price Reversal Signal - BULLISH, BEARISH, or NONE Divergence - Momentum divergence detection MACD - Current MACD histogram value S/R Zone - AT SUPPORT, AT RESISTANCE, or NEUTRAL 95% Confidence - Price range with 95% probability Bull/Bear Targets - ATR-based reversal targets Visual Elements Quantum Bands - ATR-based upper and lower channels Probability Field - Circle layers showing probability distribution Confidence Bands - 95% and 99% confidence interval circles Reversal Labels - REV markers at confirmed reversals High Probability Markers - Star diamonds at high probability setups Reversal Zones - Boxes around confirmed reversal areas Divergence Markers - Triangles at momentum divergences How to Use This Indicator For Reversal Trading: 1. Wait for Bayesian Probability to exceed 70% 2. Confirm price is at S/R zone (dashboard shows AT SUPPORT or AT RESISTANCE) 3. Check that RSI is in extreme territory (oversold for longs, overbought for shorts) 4. Enter when REV label appears with high probability marker For Risk Management: 1. Use the 95% confidence band as a stop-loss reference 2. Use Bull/Bear Targets for take-profit levels 3. Higher probability readings warrant larger position sizes For Filtering False Signals: 1. Increase Confirmation Bars to require more consecutive signals 2. Only trade when probability exceeds 70% 3. Require divergence confirmation for highest conviction Input Parameters Reversal Period (21) - Lookback for S/R and momentum calculations Quantum Depth (5) - Number of momentum layers for multi-depth analysis Confirmation Bars (3) - Consecutive bars required for confirmation Detection Sensitivity (1.2) - Band width and target multiplier Bayesian Probability (true) - Enable probability calculation Monte Carlo Simulation (true) - Enable confidence interval calculation Normal Distribution (true) - Enable PDF calculation Confidence Intervals (true) - Enable confidence bands Timeframe Recommendations 1H-4H: Best for swing trading reversals Daily: Fewer but more significant reversal signals 15m-30m: More signals, requires higher probability threshold Limitations Statistical concepts are simplified implementations for Pine Script Monte Carlo uses deterministic pseudo-random factors, not true randomness Bayesian probability uses simplified prior/likelihood model Reversal detection does not guarantee actual reversals will occur Confirmation bars add lag to signal generation Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. The source code is fully visible and can be studied to understand how each component works. This indicator does not constitute financial advice. Reversal detection is probabilistic, not predictive. The probability scores represent statistical likelihood based on historical patterns, not guaranteed outcomes. Past performance does not guarantee future results. Always use proper risk management, position sizing, and stop-losses. - Made with passion by officialjackofalltrades
Penunjuk Pine Scriptยฎ
oleh officialjackofalltrades
Market Structure MTF [HH/HL/LH/LL + CHoCH + BOS]Automatic market structure detection with pivot classification (HH/HL/LH/LL), Change of Character (CHoCH) and Break of Structure (BOS) signals. Multi-timeframe support allows overlaying higher timeframe structure on any chart. โ–ˆ OVERVIEW This indicator automatically detects and classifies pivot points to visualize market structure. It identifies trend direction through the sequence of highs and lows, and signals potential reversals through Change of Character (CHoCH) and trend continuation through Break of Structure (BOS). โ–ˆ CONCEPTS Market structure analysis is based on the relationship between consecutive pivot points: Bullish Structure: โ€ข HH (Higher High): A swing high that exceeds the previous swing high โ€ข HL (Higher Low): A swing low that stays above the previous swing low โ€ข Sequence: HH โ†’ HL โ†’ HH โ†’ HL confirms uptrend Bearish Structure: โ€ข LH (Lower High): A swing high that fails to exceed the previous swing high โ€ข LL (Lower Low): A swing low that breaks below the previous swing low โ€ข Sequence: LH โ†’ LL โ†’ LH โ†’ LL confirms downtrend Structure Shifts: โ€ข CHoCH (Change of Character): Signals when the expected sequence breaks, suggesting potential trend reversal โ€ข BOS (Break of Structure): Confirms trend continuation when price breaks a pivot level in trend direction โ–ˆ FEATURES โ€ข Automatic pivot detection using configurable lookback period โ€ข Smart classification comparing each pivot to its predecessor โ€ข CHoCH detection when trend sequence is violated โ€ข BOS signals with anti-repetition filter to reduce noise in consolidation zones โ€ข Multi-Timeframe (MTF) support to display higher timeframe structure โ€ข Horizontal dashed lines marking HTF pivot levels โ€ข Clean visual output with color-coded labels โ–ˆ SETTINGS Structure Settings: โ€ข Pivot Length: Number of bars on each side required to confirm a pivot (default: 5) - Lower values (2-3) = more sensitive, detects minor swings - Higher values (10-20) = less sensitive, only major structure Multi-Timeframe: โ€ข Show HTF Structure: Enable/disable higher timeframe overlay โ€ข HTF Timeframe: Select the higher timeframe to display (D, W, M, etc.) Visualization: โ€ข Show Local Structure: Toggle visibility of current timeframe pivots Filters: โ€ข BOS Buffer: Minimum bars between BOS signals to avoid repetition โ–ˆ HOW TO USE The indicator offers three visualization modes: 1. LOCAL STRUCTURE ONLY (default) โ”œโ”€ Show Local Structure: โœ“ Enabled โ”œโ”€ Show HTF Structure: โœ— Disabled โ””โ”€ Use case: Analyze structure on the current timeframe only 2. HIGHER TIMEFRAME ONLY (recommended for clarity) โ”œโ”€ Show Local Structure: โœ— Disabled โ”œโ”€ Show HTF Structure: โœ“ Enabled โ”œโ”€ HTF Timeframe: Select desired TF (D, W, M) โ””โ”€ Use case: View higher TF context on lower TF charts without clutter 3. BOTH TIMEFRAMES (advanced) โ”œโ”€ Show Local Structure: โœ“ Enabled โ”œโ”€ Show HTF Structure: โœ“ Enabled โ””โ”€ Use case: See confluence between timeframes โš ๏ธ WARNING: This mode can make the chart visually crowded. Recommended only for experienced users who need both layers simultaneously. โ–ˆ RECOMMENDED SETTINGS BY TIMEFRAME | Chart TF | Pivot Length | Suggested HTF | |----------|--------------|---------------| | 1H | 10-15 | 4H or D | | 4H | 5-10 | D or W | | 1D | 5-7 | W | | 1W | 3-5 | M | The goal is to make pivots on lower timeframes represent equivalent time context. โ–ˆ VISUAL REFERENCE Local Structure Labels: โ€ข ๐ŸŸฉ Green (above): HH - Higher High โ€ข ๐ŸŸฅ Red (above): LH - Lower High โ€ข ๐ŸŸฉ Green (below): HL - Higher Low โ€ข ๐ŸŸฅ Red (below): LL - Lower Low โ€ข ๐ŸŸง Orange: CHoCH - Change of Character โ€ข ๐ŸŸฆ Blue: BOS - Break of Structure HTF Structure Labels: โ€ข ๐Ÿฉต Teal: HH/HL - Bullish HTF structure โ€ข ๐ŸŸซ Maroon: LH/LL - Bearish HTF structure โ€ข ๐ŸŸจ Yellow: CHoCH - HTF trend shift โ€ข ๐ŸŸฆ Navy: BOS - HTF structure break โ€ข โ”ˆโ”ˆ Dashed lines mark HTF pivot price levels โ–ˆ INTERPRETATION GUIDELINES Reading the sequence: โ€ข Consistent HH + HL = Bullish bias, look for long opportunities โ€ข Consistent LH + LL = Bearish bias, look for short opportunities โ€ข CHoCH after trending sequence = Potential reversal, exercise caution โ€ข BOS in trend direction = Trend continuation confirmed Combining timeframes: โ€ข HTF structure defines the primary bias โ€ข Local structure provides entry timing โ€ข Confluence (both TFs aligned) = Higher probability setups โ–ˆ LIMITATIONS โ€ข Pivots are confirmed with a delay equal to the Pivot Length parameter โ€ข In ranging markets, multiple CHoCH signals may appear (this is correct behavior - the market IS changing direction frequently) โ€ข CHoCH signals potential reversal, not guaranteed reversal โ€ข Works best on liquid markets with clean price action โ–ˆ TECHNICAL NOTES โ€ข Uses ta.pivothigh() and ta.pivotlow() for pivot detection โ€ข request.security() fetches higher timeframe data โ€ข Anti-repetition logic prevents BOS signal clustering in consolidation โ€ข All crossover/crossunder calculations are performed at global scope for consistency (Pine Script v6 compliance) โ–ˆ CREDITS Developed for swing traders and position traders who use market structure for trend analysis and trade timing. Feedback and suggestions are welcome.
Penunjuk Pine Scriptยฎ
oleh JuanDeNogoya
Black-Scholes Gamma Scalping Strategy# Black-Scholes Gamma Scalping Strategy ## Overview This strategy applies options market-making principles to spot/futures trading using the Black-Scholes pricing model. It simulates the behavior of a delta-hedged straddle position, generating buy and sell signals based on how a market maker would hedge their gamma exposure. --- ## The Concept: Gamma Scalping Professional options traders who hold long straddles (long call + long put at the same strike) profit when the underlying moves significantly in either direction. Here's why: - A straddle has **positive gamma**, meaning its delta increases as price rises and decreases as price falls - To stay delta-neutral, traders must **buy after dips** and **sell after rallies** - If **realized volatility > implied volatility**, the profits from these hedging trades exceed the daily theta (time decay) cost This strategy captures that edge by: 1. Calculating theoretical Greeks using Black-Scholes 2. Monitoring when delta deviates from neutral 3. Trading to "hedge" back to neutral โ€” buying weakness, selling strength --- ## Black-Scholes Greeks Calculated | Greek | Symbol | What It Measures | |-------|--------|------------------| | Delta | ฮ” | Directional exposure | | Gamma | ฮ“ | Rate of delta change | | Vega | ฮฝ | Sensitivity to volatility | | Theta | ฮ˜ | Time decay per day | All Greeks are calculated in real-time using the standard Black-Scholes formula with configurable inputs for strike, expiration, implied volatility, and risk-free rate. --- ## Entry Signals **Long Entry** (buy the underlying): - Price drops significantly (gamma scalp trigger), OR - Straddle delta falls below the lower hedge band - Volatility filter confirms favorable regime (HV > IV) **Short Entry** (sell the underlying): - Price rises significantly (gamma scalp trigger), OR - Straddle delta rises above the upper hedge band - Volatility filter confirms favorable regime --- ## Volatility Regime Filter The strategy compares **Historical Volatility (HV)** to **Implied Volatility (IV)**: - **HV/IV > 1.2** โ†’ Long volatility regime (gamma scalping profitable) โ†’ Trading enabled - **HV/IV < 0.8** โ†’ Short volatility regime (theta wins) โ†’ Trading paused or reversed - **Between** โ†’ Neutral, proceed with caution This filter helps avoid trading when market conditions don't favor the strategy. --- ## Key Inputs **Option Parameters:** - Strike Offset % โ€” Distance from ATM (0 = at-the-money) - Days to Expiration โ€” Synthetic option tenor (affects gamma magnitude) - Implied Volatility โ€” Your estimate of fair IV - Risk-Free Rate โ€” For BS calculation **Trading Parameters:** - Gamma Scalp Threshold โ€” ATR multiple to trigger trades - Delta Hedge Band % โ€” How far delta must deviate to signal - Volatility Regime Filter โ€” Enable/disable HV/IV filter **Risk Management:** - Stop Loss / Take Profit (ATR multiples) - Max Drawdown % โ€” Pauses trading if exceeded - Max Concurrent Positions --- ## How to Use 1. **Set Implied Volatility** to match current market IV (check options chain or VIX for reference) 2. **Adjust Days to Expiration** โ€” Shorter = higher gamma, more signals; Longer = smoother 3. **Tune the Hedge Band** โ€” Tighter bands = more trades; Wider = fewer, larger moves 4. **Enable Volatility Filter** for trend-following vol regimes, disable for pure mean-reversion **Best suited for:** - Range-bound or choppy markets - High realized volatility environments - Liquid instruments with tight spreads **Avoid using when:** - Strong directional trends (gamma scalping loses to delta) - Volatility is collapsing - Low liquidity / wide spreads --- ## Information Table The on-chart table displays real-time: - Current strike price - Straddle Delta, Gamma, Vega, Theta - Historical vs Implied Volatility - HV/IV Ratio - Current volatility regime --- ## Alerts Built-in alert conditions for: - Long entry signals - Short entry signals - Max drawdown protection triggered --- ## Disclaimer This strategy is provided for **educational purposes only**. It demonstrates how Black-Scholes option pricing theory can be applied to generate trading signals. - Past performance does not guarantee future results - Backtest results may not reflect live trading conditions - Always use proper position sizing and risk management - Paper trade extensively before using real capital **No financial advice is given or implied.** --- ## Credits Based on the Black-Scholes-Merton option pricing model (1973) and gamma scalping techniques used by professional options market makers. --- *If you find this useful, please leave a like or comment. Suggestions for improvements are welcome!*
Strategi Pine Scriptยฎ
oleh DrRRRKopp
Trend Table by DNDFXTrend Table is the latest version released in 2026. Initially, this feature was integrated into the CTR indicator. However, due to technical issues that caused errors in the main indicator, Trend Table was separated and developed as a standalone indicator to ensure stability and allow it to operate without interfering with the main system. The Trend Table indicator is designed to provide a clear overview of market trend direction across multiple timeframes in a single, concise display. The timeframes included are M1, M3, M5, M10, M15, M30, H1, H4, and Daily. With this separation, users can monitor trend conditions from lower to higher timeframes more efficiently, consistently, and reliably.
Penunjuk Pine Scriptยฎ
oleh slametux
Apex ICT: Proximity & Delivery FlowSimple Description: This indicator is a specialized ICT execution tool that automates the identification of Order Blocks, Fair Value Gaps, and Changes in State of Delivery (CISD). Unlike standard indicators that clutter the screen, this script uses a Proximity Logic Engine to ensure you only see tradeable levels. It automatically purges old data (50-candle CISD limit) and deletes mitigated zones the moment they are breached, leaving you with a clean, institutional-grade chart.
Penunjuk Pine Scriptยฎ
oleh garethsteadman47
HaP RSIComprehensive Guide to HaP RSI Indicator Introduction The HaP RSI indicator is a custom technical analysis tool designed to replicate the logic and structure of the HaP MACD indicator but applied to the Relative Strength Index (RSI). This indicator combines traditional RSI concepts with advanced smoothing techniques, dynamic signal generation, and visual cues to help traders identify potential entry and exit points, trend strength, and momentum shifts. This document provides an exhaustive explanation of the indicator's logic, its components, and practical strategies for trading with it. Logic and Structure of HaP RSI The HaP RSI indicator is built on the foundation of the RSI oscillator, which measures the speed and change of price movements to identify overbought and oversold conditions. The indicator enhances RSI by incorporating the following elements: RSI Calculation: Uses a customizable length (default 10) and allows selection of smoothing type (EMA or SMA) for flexibility. Signal Line: A moving average of the RSI (default length 9) that acts as a reference for crossovers and trend confirmation. DEMA Logic: Double Exponential Moving Average applied to RSI and its signal line to generate dynamic dot signals for entries and exits. Visual Elements: Midline at 50, Overbought/Oversold levels at 70 and 30, color-coded dots (Blue, Green, Orange, Red) for intuitive interpretation. Conditions and Signal Generation The indicator uses a sophisticated set of conditions to determine market states and generate actionable signals: Buy Condition: Triggered when the DEMA of RSI is above the DEMA of its signal line AND the DEMA signal line is rising. This indicates strengthening bullish momentum. First Signal Dot: Appears as a Blue dot when the buy condition becomes true for the first time after being false. This marks the start of a potential bullish phase. Ongoing Signal Dot: Appears as Green if RSI is rising or Orange if RSI is falling while the buy condition remains true. This provides real-time feedback on momentum strength. Exit Dot: Appears as Red when the buy condition turns false after being true, signaling a potential end to the bullish phase. Crossovers: RSI crossing above its signal line (bullish) or below (bearish) are calculated but hidden by default, offering additional confirmation if enabled. Trading Strategies Using HaP RSI The HaP RSI indicator can be used in multiple ways to enhance trading decisions. Below are detailed strategies and best practices: 1. Entry Strategies Enter long positions when a Blue dot appears, confirming the start of bullish momentum. Ideally, combine this with RSI above the midline (50) and price action breaking resistance. Add to positions or scale in when Green dots appear, indicating continued bullish strength. 2. Exit Strategies Exit or tighten stops when a Red dot appears, signaling weakening momentum. Consider partial exits on Orange dots if momentum slows but the trend remains intact. 3. Trend Confirmation Use the midline (50) as a regime filter: RSI above 50 generally favors long trades, while below 50 favors shorts. Overbought/Oversold levels (70/30) can help identify exhaustion points for reversals or caution zones. 4. Risk Management Always combine HaP RSI signals with stop-loss placement based on recent swing lows/highs. Avoid chasing signals in low-volatility environments; confirm with volume or higher timeframe trend. Advanced Usage and Best Practices Combine HaP RSI with other indicators like moving averages or price action patterns for confluence. Use alerts for Blue and Red dots to automate monitoring and reduce missed opportunities. Backtest the indicator on multiple timeframes (H1 recommended) to optimize settings for your trading style. Summary HaP RSI is a powerful tool that blends RSI's simplicity with advanced signal logic, making it suitable for trend-following, momentum trading, and swing strategies. Its visual clarity and dynamic alerts allow traders to act decisively while managing risk effectively.
Penunjuk Pine Scriptยฎ
oleh DayTraderz365
VolMo Algorithm [Pro]VolMo Algorithm - Volume Momentum Oscillator ๐Ÿ“Š Overview VolMo Algorithm is a professional-grade composite momentum oscillator that synthesizes three critical market dimensions into a single, unified signal designed for institutional-level analysis. This indicator was engineered to cut through market noise by fusing: Volatility Band Analysis - Mean reversion detection through dynamic price envelopes Dual EMA Momentum - Trend identification via fast/slow crossover mechanics Swing Structure Recognition - Context awareness through pivot-based structure โš™๏ธ How It Works The Composite Signal Formula text VolMo = (Momentum Score ร— MD Weight) + (Band Position Score ร— DTB Weight) Component Description Momentum Score Normalized momentum (Fast EMA - Slow EMA) expressed in standard deviations Band Position Score Price location within volatility bands indicating stretch/compression Signal Interpretation Value Range Market State > 0 Bullish momentum bias < 0 Bearish momentum bias > +2.0 Overbought (mean reversion likely) < -2.0 Oversold (mean reversion likely) ๐ŸŽฏ Key Features โœ… Adaptive Histogram - Color-coded by momentum direction AND acceleration Bright colors = Momentum accelerating Dim colors = Momentum decelerating โœ… Signal Line Crossovers - Early warning for trend changes โœ… Overbought/Oversold Zones - Statistical extremes for mean reversion plays โœ… Triple Confirmation System - Signals when momentum, price, AND bands align โœ… Real-Time Dashboard - At-a-glance status including: Current trend state with directional icons Signal strength meter (0-100%) Band position percentage Momentum acceleration status Active confirmation status โœ… 5 Color Themes - Neon Pro, Classic, Ocean, Sunset, Monochrome + Custom โœ… Comprehensive Alerts - Trend changes, crossovers, OB/OS entries, confirmations
Penunjuk Pine Scriptยฎ
oleh Making_Trades_Matter
Gold Projection DivergenceGOLD PROJECTION DIVERGENCE Oscillator Companion for the Gold Macro Projection Model OVERVIEW The Gold Projection Divergence oscillator quantifies how far gold is trading from its projected fair value. While the main indicator shows where gold should be, this oscillator shows how extreme the mispricing isโ€”providing precise timing signals for entries and exits. HOW IT WORKS The oscillator calculates the difference between actual gold price and the projected value, then normalizes it as a Z-score . This statistical measure shows how many standard deviations gold is trading away from its projected fair value. Z > +2 โ€” Gold is 2+ standard deviations above fair value (extremely overvalued) Z > +1 โ€” Gold is moderately overvalued Z = 0 โ€” Gold is trading at projected fair value Z < -1 โ€” Gold is moderately undervalued Z < -2 โ€” Gold is 2+ standard deviations below fair value (extremely undervalued) VISUAL ELEMENTS Histogram โ€” Color-coded divergence magnitude Yellow Line โ€” Smoothed Z-score Dashed Lines โ€” +2 and -2 standard deviation levels Dotted Lines โ€” +1 and -1 standard deviation levels Triangle Markers โ€” Extreme crossover signals Circle Markers โ€” Zero-line crossings HISTOGRAM COLORS Dark Red โ€” Z > +2 (extreme overvaluation) Orange โ€” Z between +1 and +2 Light Orange โ€” Z between 0 and +1 Light Green โ€” Z between -1 and 0 Green โ€” Z between -2 and -1 Lime โ€” Z < -2 (extreme undervaluation) COMPONENT TABLE The breakdown table shows divergence from each individual factor: Silver โ€” Is gold over/undervalued relative to silver? M2 โ€” Is gold over/undervalued relative to money supply? DXY โ€” Is gold over/undervalued relative to dollar strength? Equity โ€” Is gold over/undervalued relative to stocks? TIPS โ€” Is gold over/undervalued relative to real rates? TRADING APPLICATIONS Mean Reversion Strategy Enter LONG when Z < -2 and begins rising Enter SHORT when Z > +2 and begins falling Use zero-line crossings for trend confirmation Trend Following Filter Only take long trades when Z < 0 (undervalued) Only take short trades when Z > 0 (overvalued) Divergence Confirmation Bearish: Price makes new highs while Z-score makes lower highs Bullish: Price makes new lows while Z-score makes higher lows ALERTS Extreme Undervaluation โ€” Z crosses below -2 Extreme Overvaluation โ€” Z crosses above +2 Moderate Undervaluation โ€” Z crosses below -1 Moderate Overvaluation โ€” Z crosses above +1 Divergence Turned Positive โ€” Crossed above zero Divergence Turned Negative โ€” Crossed below zero COMBINED USAGE For best results, use both indicators together : Main Indicator โ€” Visual context of actual vs. projected on price chart Divergence Oscillator โ€” Precise measurement for timing decisions The main indicator shows where gold should be; the oscillator shows how extreme the mispricing is and when to act. Disclaimer: This indicator is for educational purposes only. Past correlations do not guarantee future relationships. Market conditions can alter historical relationships. Always use proper risk management.
Penunjuk Pine Scriptยฎ
oleh bigcitytom
Ichimoku With GradingDescription: This indicator is an enhanced version of the classic Ichimoku Kinko Hyo, designed to provide traders with an objective, quantitative assessment of trend strength. By breaking down the complex Ichimoku system into specific conditions, this script calculates a "Total Score" to help visualize the confluence of bullish or bearish signals. How It Works The core of this script is a 7-Point Grading System. Instead of relying on a single crossover, the script evaluates 7 distinct Ichimoku conditions simultaneously. The Grading Criteria: Tenkan > Kijun: Checks for the classic TK Cross (1 point if Bullish, -1 if Bearish). Price vs TK/KJ: Checks if the Close is above both the Tenkan and Kijun (Bullish) or below both (Bearish). Future Cloud: Analyzes the Kumo (Cloud) projected 26 bars ahead. If Senkou Span A > Senkou Span B, it is bullish. Chikou Span: The Lagging Span validation. It compares the current Close to the Highs, Lows, and Cloud levels of 26 bars ago to ensure there are no obstacles. Close > Tenkan: Checks immediate short-term momentum. Close > Current Senkou Span A: Checks if price is above the current cloud's Span A. Close > Current Senkou Span B: Checks if price is above the current cloud's Span B. Total Score & Signals: Maximum Score (+7): When all 7 conditions are met, a Green Triangle is plotted above the bar, indicating a strong trend confluence. Minimum Score (-7): When all 7 conditions are negative, a Red Triangle is plotted below the bar. Neutral/Mixed: Scores between -6 and +6 indicate a mixed trend or consolidation phase. Dashboard Features A table is displayed in the top-right corner to provide real-time data: Score Breakdown: Shows the status of every individual metric (1 or -1). Total Score: The sum of all metrics. Distance to Tenkan %: This calculates the percentage distance between the Close and the Tenkan-sen. Usage: Traders often use the Tenkan-sen as a trailing stop-loss level. This percentage helps gauge how extended the price is from the mean; a high percentage may indicate an overextended move, while a low percentage indicates a tight consolidation. How to Use Ichimoku Lines Beyond the grading system, this indicator plots the standard Ichimoku lines, which are powerful tools for price action analysis: Support & Resistance: The Tenkan-sen (Conversion Line) and Kijun-sen (Base Line) act as dynamic support and resistance levels. In a strong trend, price will often respect the Tenkan-sen. In a moderate trend, it may pull back to the Kijun-sen before continuing. The Kumo (Cloud): The edges of the current cloud (Senkou Span A and B) act as major support and resistance zones. A thick cloud represents strong S/R, while a thin cloud is easily broken. Trend Identification: Generally, if the price is above the Cloud, the trend is bullish. If below, it is bearish. If the price is inside the Cloud, the market is considered to be in a noise/ranging zone. Screenshots 1. Bitcoin Daily View: Here you can see the dashboard in action. The grading system helps filter out noise by requiring all conditions to align before generating a signal. 2. Gold (XAUUSD) Example: An example of a bearish confluence where the score hit -7, triggering a sell signal as the price broke through all Ichimoku support levels. 3. Euro (EURUSD) Mixed State: This example shows a market in transition. While some metrics are positive (Green), others are negative (Red), resulting in a score of 4. This prevents premature entries during choppy market conditions. Settings Lengths: All Ichimoku periods (Tenkan, Kijun, Senkou B, Displacement) are fully customizable in the settings menu to fit your preferred timeframe or trading style (e.g., Doubled settings for crypto). Disclaimer: This tool is for educational and informational purposes only. Past performance does not guarantee future results. Always manage your risk.
Penunjuk Pine Scriptยฎ
oleh abgthecoder
The Institutional Anchor (Daily OC Zone)The Institutional Anchor (Daily OC) This indicator is a high-performance tool for traders who rely on "Institutional Candles" or "Opening Candles" (OC) to define their daily bias. Built on the latest Pine Scriptยฎ v6 engine, it provides a stable, non-repainting foundation for identifying key institutional support and resistance levels. Core Features & Technical Edge 1. Dual-Mode Zone Definition Traders have different ways of defining institutional strength. This script supports both methods to suit your specific strategy: Body-Only Mode: Focuses on the "Real Move" by using the Open and Close of the anchor candle. Full Range Mode (Wicks): Accounts for total liquidity grabs and volatility by including the High and Low. 2. Precision Equilibrium (Mean Threshold) In institutional trading, the 50% level of a candle is the "Fair Value" or Mean Threshold. Includes a customizable Midline with independent styling (Solid, Dashed, Dotted). Automatically calculates the exact mathematical center, helping you spot high-probability rejections at the "Equilibrium" of the move. 3. Professional Visualization Suite Global Timezone Alignment: A built-in UTC Offset ensures you can align with New York (UTC-5), London (UTC+0), or your specific exchange time without manual calculations. Auto-Naming System: Automatically labels zones with the Day of the Week (e.g., "Monday OC") to help you track weekly cycles and "Power of 3" (Accumulation/Manipulation/Distribution). Historical Memory: Choose to show only the current day's active zone for a clean workspace, or display historical zones to find "nested" levels from previous days. 4. Dynamic Price Action Alerts Stay notified without being glued to the screen. The script includes pre-configured, logically consistent alert conditions: Equilibrium Touch: Triggers the moment price interacts with the 50% Mean Threshold. Boundary Breach: Notifies you when price exits or taps the upper or lower edges of the zone. 5. Universal Market Compatibility BTC & Crypto Optimized: Handles 24/7 data streams flawlessly without logic gaps. Forex Precision: Perfect for London Open or Midnight Open strategies on pairs like EUR/USD. Non-Repainting: Once the anchor hour closes, the zone is locked, providing a reliable reference point for the rest of the trading day. How to Use Market Open Hour: Enter the hour (24h format) of your chosen anchor candle (e.g., 2 for 2:00 AM). UTC Offset: Match the offset to your preferred trading session time. Customize Style: Adjust colors, transparency, and line styles to match your chart theme.
Penunjuk Pine Scriptยฎ
oleh shupi
First Opening Price of the YearOverview This indicator identifies and plots the opening price of the first trading session of the calendar year. The "Yearly Open" is a significant psychological level for traders and institutions, often serving as a major pivot point for the entire year's trend. How it Works The script utilizes Pine Script v5's persistent variables to track the year change. Detection: It compares the current bar's year (year) with the previous bar's year (year ). Storage: When a discrepancy is found (indicating a new year has started), the script captures the open price of that specific bar. Persistence: Using the var keyword, this price is stored in memory and carried forward for every subsequent bar of the year without being recalculated. Visualization: The price is plotted as a series of blue crosses (style_cross) to clearly mark the level on the chart. Chart Analysis & Examples The following examples demonstrate how this simple level dictates market structure across different assets: Historical Pivot Points (S&P 500): This chart demonstrates how the Yearly Open acts as a critical pivot. Notice in 2022 how price struggled around the open before dropping, while in 2023 and 2024, the yearly open provided a solid base for the subsequent rallies. Trend Confirmation (Bitcoin): In strong trending markets, the Yearly Open serves as a trailing support. As seen in this Bitcoin example, price maintaining its position above the blue line confirms a sustained bullish bias for the year, acting as a "floor" for the trend. Market Structure & Bias (Gold): This example highlights the "Line in the Sand" concept. The indicator clearly marks the starting point of the year, allowing traders to instantly gauge if the asset is net positive or negative year-to-date. It filters out the noise and focuses on the macro direction. How to Use Traders can use this indicator to determine the higher-timeframe bias: Bullish Bias: When the current price is trading above the blue crosses, the market is considered to be positive relative to the start of the year. Bearish Bias: When the current price is trading below the blue crosses, the market is negative relative to the start of the year. Settings This script is "plug and play" and requires no manual input adjustments. It automatically detects the timeframe and year changes based on the chart data provided. Disclaimer This tool is for informational purposes only and DOES NOT constitute financial advice. Always manage your risk appropriately.
Penunjuk Pine Scriptยฎ
oleh abgthecoder