ابدأ الآن

Candlestickpattern

Shaven IdentifierShaven Identifier is a price-action tool designed to highlight "shaven" candles—specifically bullish candles with no bottom wick and bearish candles with no top wick. These formations often represent periods of strong, immediate conviction where the market moves decisively in one direction from the moment the candle opens. Core Concept In standard Japanese Candlestick theory, these are often referred to as Shaven Bottom (bullish) or Shaven Head (bearish) candles. They indicate that: Bullish (No Bottom Wick): Buyers were so aggressive that the price never dipped below the opening price. Bearish (No Top Wick): Sellers were so aggressive that the price never rose above the opening price. Key Features Momentum Markers: The script places a triangle below bullish signals and above bearish signals to provide immediate visual feedback on candle close. Level Extensions: It draws horizontal lines from the "flat" side of the candle (the Open). These levels often act as "hidden" support or resistance, as they represent the exact price where one side of the market took total control. Customizable Duration: You can control how many bars the horizontal levels extend across the chart, allowing you to see how price reacts to these levels in the near future. How to Use It Trend Confirmation: Seeing multiple "No Wick" candles in the direction of a trend can signal high-momentum continuation. Support & Resistance: The horizontal lines extended from these candles can serve as targets or areas to watch for potential price rejections. Entry Signal: Some traders use these as confirmation for entries, as they show a lack of hesitation from the dominant side of the market.
مؤشر Pine Script®
من ‎InvestiShare‎
Candle Pattern Winrate Stats ## 📊 Candle Pattern Winrate Stats This indicator is designed to transform candlestick patterns from subjective, belief-based signals into objective, data-driven statistics. It automatically evaluates the historical performance (winrate) of multiple candlestick patterns directly on your chart. --- ## 🔍 Core Concept Instead of assuming that a pattern works, this script answers a more important question: "Does this pattern actually have a statistical edge?" The indicator: - Detects predefined candlestick patterns (e.g., Hammer, Doji, Engulfing) - Records each occurrence as a discrete event - Evaluates price movement after a fixed number of candles (lookforward window) - Classifies outcomes as Win or Loss - Aggregates results into a measurable winrate This allows traders to move from visual interpretation → to empirical validation. --- ## ⚙️ How It Works ### 1. Pattern Detection Supports multiple pattern categories: - Bullish Reversal (1 / 2 / 3 candles) - Bearish Reversal - Shadow-based patterns (Hammer, Shooting Star) - Neutral patterns (Doji, Spinning Top) Each pattern can be enabled or disabled independently. --- ### 2. Winrate Calculation Logic For every detected pattern: - A forward window (X candles) is defined - Price movement is evaluated after that window - If price moves in the expected direction → Win - Otherwise → Loss All results are stored and continuously updated to reflect real historical performance. --- ### 3. Filtering (Noise Reduction) Optional filters improve signal quality: - EMA Trend Filter Restricts signals based on trend direction (e.g., bullish patterns only above EMA) - Volume Filter Filters out low-volume conditions using a moving average of volume These filters help isolate higher-quality statistical samples. --- ### 4. Statistical Controls - Min Samples Displays only patterns with sufficient sample size to avoid unreliable conclusions - Percentile Lookback Normalizes performance relative to recent market conditions - Tolerance (%) Defines acceptable similarity between price values (e.g., open ≈ close) --- ## 🔬 Methodology & Statistical Framework This script treats each candlestick pattern as a discrete statistical event rather than a visual signal. For every detected pattern: - A fixed forward return horizon is applied (lookforward window) - Outcomes are simplified into binary classification (win / loss) - Empirical probabilities are derived from aggregated historical samples Unlike traditional candlestick indicators, this approach enables: - Objective measurement of pattern performance - Direct comparison across different pattern types - Reduction of subjective bias in decision-making --- ## 📋 Output - Winrate (%) for each pattern - Number of samples (data reliability) - On-chart summary table (customizable position) --- ## 🧠 Professional Usage ❌ Avoid: - Using patterns as direct entry signals ✅ Recommended: - Use winrate as a filtering tool - Focus on statistically significant patterns - Combine with: - Market Structure - Supply / Demand - Trend context --- ## 📊 Example Interpretation Pattern | Winrate | Sample | Insight ---|---|---|--- Hammer | 62% | 120 | Usable Doji | 48% | 300 | No statistical edge Engulfing | 68% | 80 | Strong signal --- ## ⚠️ Important Notes - Winrate ≠ Profit (risk/reward must be considered) - Market conditions evolve → statistics may change over time - Results vary across different timeframes and assets - Be cautious of overfitting when sample size is small --- ## 🎯 Who Is This For - System traders - Quantitative / data-driven traders - Developers building trading bots (MQL5, Pine Script, Python) - Traders seeking objective validation over subjective analysis --- ## 🚀 Key Insight "Does this pattern actually work — or does it just look like it does?"
مؤشر Pine Script®
من ‎traderhomepro‎
High Timeframe Candles - HTFHigh Timeframe Candles - HTF High Timeframe Candles - HTF indicator is a professional analysis dashboard developed for traders who want to maintain a clear view of Higher Timeframe (HTF) market structure and liquidity gaps while operating on Lower Timeframes (LTF). Based on ICT (Inner Circle Trader) concepts, this tool dynamically draws up to six selected higher timeframes and their respective imbalances on the right side of the chart (offset). The indicator is specifically designed for "upward" timeframe analysis, meaning it displays only periods higher than your current chart (e.g., viewing 15m, 1H, and 4H candles while on a 5m chart) and does not show lower timeframe data on the dashboard. One of the indicator's strongest features is its real-time data synchronization. HTF candles are updated instantaneously with every price movement on the lower timeframe. This allows you to monitor the formation, wick length, and expansion of a 15-minute or hourly candle while actively trading on a 1-minute chart. Additionally, it maximizes time management by providing dynamic countdown timers for each HTF candle closing and Day of Week (DOW) labels for daily candles. In terms of imbalance detection, this tool offers advanced features by automatically identifying Fair Value Gap (FVG) and Volume Imbalance (VI) zones directly on the HTF candles. This functionality enables you to see which high-timeframe gap the price is gravitating toward or which levels it might react to without ever switching charts. Specifically, it includes options to align daily candle calculations with critical ICT "True Day Open" benchmarks, such as Midnight, 08:30, or 09:30 New York time. Designed with a user-friendly interface, this indicator is fully customizable and optimized to reduce workspace clutter while protecting trader psychology. By eliminating the need to constantly flip through different timeframes, it helps you maintain focus during execution. Coded with the latest Pine Script v6 performance standards, this tool provides a comprehensive roadmap for both scalping and intraday trading strategies.
مؤشر Pine Script®
من ‎Emirhan_Denizyol‎
Dissonance Ledger [JOAT]Dissonance Ledger Introduction Dissonance Ledger is an advanced open-source divergence intelligence system that simultaneously monitors four independent oscillators — RSI, MACD histogram, Money Flow Index (MFI), and Momentum — for both regular and hidden divergences against price. Rather than relying on a single oscillator (which produces frequent false divergences), this indicator uses a confluence scoring system that requires multiple oscillators to confirm the same divergence before generating a signal. The result is a divergence detection engine with substantially fewer false positives than any single-oscillator approach. The fundamental problem with traditional divergence trading is reliability. A bearish RSI divergence (price making higher highs while RSI makes lower highs) fails more often than it succeeds when used in isolation. This is because a single oscillator can diverge from price for structural reasons unrelated to an impending reversal. Dissonance Ledger solves this by requiring a minimum number of oscillators (configurable, default 2 out of 4) to independently confirm the same divergence pattern. When RSI, MACD, MFI, and Momentum all agree that momentum is weakening despite price advancing, the probability of a genuine reversal increases substantially. Core Concepts 1. Multi-Oscillator Divergence Architecture The indicator calculates four oscillators at global scope to ensure proper history tracking: RSI (Relative Strength Index): Measures the ratio of average gains to average losses. Divergences in RSI indicate that the magnitude of price moves is changing relative to the trend MACD Histogram: The difference between the MACD line and its signal line. Divergences in the histogram indicate that the rate of momentum change is shifting MFI (Money Flow Index): A volume-weighted RSI that incorporates buying and selling pressure. MFI divergences indicate that volume is not confirming the price move Momentum: Raw rate of change (close minus close N bars ago). Momentum divergences indicate that the absolute speed of price movement is declining Each oscillator provides a different lens on momentum. RSI measures relative strength, MACD measures momentum acceleration, MFI measures volume-confirmed pressure, and Momentum measures raw speed. When multiple lenses agree, the signal is more reliable. 2. Fractal Pivot Anchoring Divergences are anchored to fractal pivot points rather than arbitrary lookback windows. The indicator uses `ta.pivothigh()` and `ta.pivotlow()` with configurable left and right bar counts to identify genuine swing highs and lows. Each pivot's price and all four oscillator values are stored in arrays: if not na(pivHigh) array.unshift(phPrices, pivHigh) array.unshift(phBars, bar_index - pivotRight) array.unshift(phRSI, rsiAtBar) array.unshift(phMACD, macdAtBar) // ... MFI, MOM stored similarly When a new pivot forms, the indicator compares it against the previous pivot. If price made a higher high but one or more oscillators made a lower high, that oscillator registers a bearish divergence vote. The confluence count is the total number of oscillators that agree. 3. Regular vs Hidden Divergences The indicator detects both types: Regular Divergence (Reversal): Price makes a higher high / lower low while oscillators make a lower high / higher low. This suggests the current trend is losing momentum and a reversal may follow Hidden Divergence (Continuation): Price makes a lower high / higher low while oscillators make a higher high / lower low. This suggests the underlying trend remains strong despite a surface-level pullback, and continuation is likely Regular divergences are drawn with solid lines; hidden divergences use dashed lines in distinct colors (arctic cyan for hidden bull, amber for hidden bear) to differentiate them visually. 4. Divergence Strength Scoring Each detected divergence receives a strength score (0-100) based on three factors: Confluence Weight (50%): More oscillators confirming = higher score. 4/4 confluence scores maximum Price Divergence Magnitude (25%): Larger percentage difference between the two pivot prices = stronger divergence Oscillator Divergence Magnitude (25%): Larger absolute difference in oscillator readings between pivots = stronger signal This scoring system helps traders prioritize high-conviction divergences over marginal ones. 5. ATR Target Projections When a divergence is confirmed, the indicator projects a target level using a configurable ATR multiple from the pivot point. For bullish divergences, the target is projected above the pivot low; for bearish, below the pivot high. These targets provide a measured-move expectation for the potential reversal. 6. Oscillator Aggregate Bias Beyond divergence detection, the indicator calculates an aggregate bias across all four oscillators. Each oscillator's reading is normalized to a -1 to +1 scale, and the average is smoothed with an EMA. This provides a continuous measure of overall momentum direction and strength, independent of divergence signals. Features Confluence-Scored Divergence Labels: Each divergence signal shows its confluence count (e.g., "3/4 REG" for a regular divergence confirmed by 3 of 4 oscillators) and whether it is regular or hidden Divergence Lines: Solid lines for regular divergences, dashed lines for hidden divergences, connecting the two pivot points that form the divergence pattern ATR Target Projections: Dashed horizontal lines with price labels showing the projected target for each divergence Oscillator Momentum Ribbon: An EMA-based ribbon on the price chart that fills bullish or bearish based on the aggregate oscillator bias, providing continuous momentum context Divergence Decay Tracking: After a divergence signal, a fading background zone tracks the "decay" period — the window during which the divergence is still considered active. The zone fades progressively over the configurable decay duration Confluence-Weighted Bar Coloring: Candle colors shift on a gradient based on how many oscillators agree on direction. Full agreement produces vivid colors; mixed signals produce muted colors Divergence History Chain: The dashboard tracks the last three divergence signals in sequence (e.g., "BULL > BEAR > H-BULL"), revealing the pattern of momentum shifts Pivot Markers: Small circles mark fractal pivots that did not produce divergences, maintaining structural awareness 16-Row Dashboard: Displays all four oscillator values, agreement count, aggregate bias, last bull/bear divergence details, strength scores, hidden divergence tracking, history chain, decay status, and total divergence counts Input Parameters Pivot Detection: Left/Right Bars: Fractal pivot detection sensitivity (default: 5/5) Lookback Window: Maximum bars between pivots for divergence comparison (default: 60) Oscillators: RSI Length (default: 14), MACD Fast/Slow/Signal (default: 12/26/9), MFI Length (default: 14), Momentum Length (default: 14) Confluence: Min Confluence: Minimum oscillators required to confirm a divergence (default: 2, range: 1-4) Target Projection: ATR Target Multiple: Multiplier for target distance (default: 1.5) Target ATR Length: ATR period for projection calculation (default: 14) Visuals: Toggles for divergence lines, hidden divergences, target projections, oscillator ribbon, bar coloring, signal background, decay zones, and dashboard Decay Duration: Number of bars the divergence decay zone persists (default: 20) How to Use This Indicator Step 1: Set Your Confluence Threshold Start with the default minimum confluence of 2. If you want fewer but higher-conviction signals, increase to 3 or 4. A 4/4 confluence divergence is rare but highly significant. Step 2: Watch for Divergence Labels When a label appears (e.g., "3/4 REG" below a pivot low), it means 3 of 4 oscillators confirmed a regular bullish divergence at that pivot. The higher the confluence, the more attention the signal deserves. Step 3: Check the Strength Score In the dashboard, review the divergence strength percentage. Scores above 60 indicate strong divergences with large price and oscillator magnitude differences. Scores below 30 are marginal. Step 4: Use Target Projections for Planning The dashed target line shows where a measured-move reversal might reach. Use this for take-profit planning, not as a guaranteed level. Step 5: Monitor the Decay Zone The fading background after a divergence signal shows the active window. If price hasn't responded by the time the decay zone expires, the divergence has likely failed. Step 6: Read the History Chain A sequence like "BEAR > BEAR > BEAR" in the history chain suggests persistent bearish momentum divergences — the trend may be weakening structurally. Alternating "BULL > BEAR > BULL" suggests choppy, unreliable conditions. Close-up showing a 4/4 confluence bearish divergence with all four oscillator divergence lines visible, the strength score in the dashboard reading 78%, and the ATR target projection line below Indicator Limitations Divergences are identified at fractal pivots, which require right-bar confirmation. This means divergences are detected with a delay equal to the right-bar count (default 5 bars after the actual pivot) Even with multi-oscillator confluence, divergences can fail. Strong trends can produce multiple consecutive divergences before any reversal occurs — this is known as "divergence stacking" and is a well-known limitation of divergence trading The four oscillators used (RSI, MACD, MFI, Momentum) are all derived from price and volume. They are not truly independent — they share common inputs and can produce correlated false signals during certain market conditions MFI requires reliable volume data. On forex pairs or instruments with synthetic/tick volume, MFI-based confluence may be less meaningful Target projections use ATR as a distance measure, which is backward-looking. In rapidly changing volatility environments, projected targets may overshoot or undershoot Hidden divergences are continuation signals, not reversal signals. Confusing the two types leads to trading against the trend Originality Statement This indicator is original in its multi-oscillator confluence approach to divergence detection. While divergence indicators exist for individual oscillators, this indicator is justified because: The four-oscillator confluence system (RSI + MACD + MFI + Momentum) provides a reliability filter not available in single-oscillator divergence detectors. Each oscillator measures a different aspect of momentum, and their agreement substantially reduces false positives The divergence strength scoring system quantifies signal quality using confluence weight, price magnitude, and oscillator magnitude — providing an objective measure for prioritizing signals Fractal pivot anchoring ensures divergences are measured between genuine swing points rather than arbitrary lookback windows The divergence decay tracking system provides a visual time-window for signal validity, addressing the common question of "how long is this divergence still relevant?" The aggregate oscillator bias ribbon provides continuous momentum context independent of divergence signals The history chain tracking reveals patterns in divergence sequences that can indicate structural trend weakening or choppy conditions Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Divergences are probabilistic patterns, not certainties — even high-confluence divergences can and do fail. Past divergence patterns do not guarantee future reversals. Target projections are mathematical estimates, not price predictions. Always use proper risk management including stop losses and position sizing. The author is not responsible for any losses incurred from using this indicator. -Made with passion by officialjackofalltrades
مؤشر Pine Script®
من ‎officialjackofalltrades‎
2
AB Lydian Pulse⚡ AB·LYDIAN PULSE — Professional Candlestick Pattern Analysis System ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ AB·LYDIAN PULSE is a professional analysis system that detects candlestick patterns on your chart, scores the quality of each formation, and displays only meaningful signals. This is NOT a trend or momentum indicator. It focuses solely on candlestick formations. ━━━━━━━━━━━━━━━━━━━━━━━━ ▲ BULLISH PATTERNS ━━━━━━━━━━━━━━━━━━━━━━━━ 🔨 Hammer Small body with a long lower wick. Lower wick must be at least 60% of total range. Strong reversal signal when formed after a downtrend. 🟢 Bullish Engulfing A large green candle that completely engulfs the previous small red candle. Valid when the green body fully covers the red body. ⭐ Morning Star Three-candle pattern: large red → small body → large green. The final candle must close above the midpoint of the first candle. 📌 Piercing Line Green candle after a red candle. Green opens below the previous low and closes above the midpoint of the red body. 🏛️ Three White Soldiers Three consecutive bullish candles. Each closes higher than the previous. Upper wicks must be short. ━━━━━━━━━━━━━━━━━━━━━━━━ ▼ BEARISH PATTERNS ━━━━━━━━━━━━━━━━━━━━━━━━ 💫 Shooting Star Small body with a long upper wick. Upper wick must be at least 60% of total range. Strong reversal signal when formed after an uptrend. 🔴 Bearish Engulfing A large red candle that completely engulfs the previous small green candle. Valid when the red body fully covers the green body. 🌙 Evening Star Three-candle pattern: large green → small body → large red. Mirror image of Morning Star. Final candle must close below the midpoint of the first. ☁️ Dark Cloud Cover Red candle after a green candle. Red opens above the previous high and closes below the midpoint of the green body. 🏴 Three Black Crows Three consecutive bearish candles. Each closes lower than the previous. Lower wicks must be short. ━━━━━━━━━━━━━━━━━━━━━━━━ ◆ NEUTRAL PATTERNS ━━━━━━━━━━━━━━━━━━━━━━━━ ✦ Doji Open and close at nearly the same level. Signals market indecision. Upper and lower wicks should be balanced. ◧ Harami Second candle's body is completely contained within the first candle's body. Divided into Bullish Harami (after downtrend) and Bearish Harami (after uptrend). ━━━━━━━━━━━━━━━━━━━━━━━━ 🏆 QUALITY GRADING SYSTEM ━━━━━━━━━━━━━━━━━━━━━━━━ Each detected pattern receives a quality score from 0-100: 🟢 Grade A (75-100): Perfect formation. All criteria fully met. Large label on chart. 🟡 Grade B (50-74): Good formation. Most criteria met. Normal label. 🟠 Grade C (30-49): Acceptable. Minimum criteria satisfied. Small label. Score is calculated based on: — Wick / body ratio accuracy — Body size (ATR-based dynamic threshold) — Volume strength — Previous candle alignment — Pattern-specific bonus criteria ━━━━━━━━━━━━━━━━━━━━━━━━ 🔍 SMART FILTERS ━━━━━━━━━━━━━━━━━━━━━━━━ 📏 ATR Dynamic Threshold: Candle size evaluated against ATR. Auto-adjusts across all timeframes. 📊 Volume Confirmation: Signal strengthens when volume exceeds average. Can be toggled on/off. 🏆 Quality Filter: Only selected grade level and above are displayed (A / B / C). ⏱️ Spam Filter: Consecutive same-direction signals are blocked. Minimum 5-bar cooldown. 🔬 Textbook Validation: Each pattern is verified against its own specific rules. ━━━━━━━━━━━━━━━━━━━━━━━━ 📋 PREMIUM PANEL ━━━━━━━━━━━━━━━━━━━━━━━━ 🕯️ Last signal name and emoji 📐 Direction (Bullish / Bearish / Neutral) ⏱️ How many bars ago it occurred 🏷️ Pattern type (Reversal / Neutral) 🏆 Quality grade and numeric score (/100) 🎯 Win rate (last 200 bars) 📊 Market bias (based on signal balance) 📈 Last 50 bars statistics 📜 Last 3 signals history Panel can be moved to 6 different positions and displayed in 3 sizes. ━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ SETTINGS ━━━━━━━━━━━━━━━━━━━━━━━━ 🌐 Language: Turkish / English (all labels and panel text adapt) 📏 ATR Period (default: 14) 📐 Min Body / ATR Ratio (default: 0.4) ⏱️ Signal Cooldown (default: 5 bars) 📊 Volume SMA Period (default: 20) 🎨 Customizable Bullish / Bearish / Neutral colors 🕯️ Each of the 12 patterns can be individually toggled on/off 📋 Panel position and size adjustable 🔔 Separate alert condition for each pattern ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ DISCLAIMER This indicator is NOT INVESTMENT ADVICE. It provides technical analysis information only. Base your investment decisions on your own research. Past performance is not a guarantee of future results. The developer cannot be held responsible for any financial losses that may occur from using this indicator.
مؤشر Pine Script®
من ‎Mindlytic‎
Candlestick Patterns HighlighterMost candlestick indicators are either too noisy or too dumb. This one is neither. Candlestick Patterns Highlighter v5 is a precision-focused tool that identifies high-probability candlestick structures using strict, adjustable logic — not vague textbook definitions. ⚡ What This Indicator Does This script automatically detects and highlights: Bullish Engulfing (BE) Bearish Engulfing (SE) Doji (D) Hammer (H) Inverse Hammer (IH) Each pattern is: Highlighted directly on the candle (barcolor) Marked with minimal, clean labels (no chart clutter) 🎯 Why This Is Different Most pattern indicators: Trigger too frequently Use loose definitions Are useless in real trading This one is built with strict mathematical filters, so you get: Fewer signals Better quality signals Full control over pattern sensitivity ⚙️ Customization (Where the Edge Is) You can fine-tune every pattern: Doji Control Define max body size as % of candle range Hammer Logic Control body size relative to range Define minimum lower wick strength Limit upper wick size Inverse Hammer Logic Mirror control of hammer structure Adjust upper wick dominance 👉 This means you are not locked into textbook definitions — you can adapt it to: Nifty scalping Intraday trading Swing setups 📊 Visual Design Color-coded candles Green → Bullish Engulfing Red → Bearish Engulfing Yellow → Doji Aqua → Hammer Orange → Inverse Hammer Minimal labels BE / SE / D / H / IH No unnecessary clutter 🧠 How to Use (Blunt Truth) Don’t be stupid and trade patterns blindly. Use this as: Confirmation, not entry Combine with: Structure (support/resistance) Trend Liquidity zones Best use cases: Reversal zones Pullbacks Breakout retests
مؤشر Pine Script®
من ‎ajwoodpeckies‎
Bastion Execution Protocol [JOAT]Bastion Execution Protocol Introduction The Bastion Execution Protocol is an open-source automated trading strategy built in Pine Script v6. It combines regime detection, market structure analysis, dual momentum confirmation (RSI + Stochastic Momentum Index), order flow validation (CVD), candle pattern recognition, session filtering, and dynamic risk management into a single institutional-grade execution framework. The strategy is designed to take high-confluence directional trades only when multiple independent factors align — regime, structure, momentum, volume flow, and session — while managing risk through ATR-based stop losses, configurable reward-to-risk ratios, trailing stops, regime-adaptive position sizing, daily trade limits, and end-of-day forced closes. This is not a "set and forget" black box. It is a transparent, fully configurable framework where every entry condition, risk parameter, and filter can be adjusted. The strategy is published open-source so traders can study the logic, understand why each trade is taken, and adapt the parameters to their instruments and timeframes. Why This Strategy Exists Most published strategies on TradingView fall into two categories: overly simple (single indicator crossover) or overly complex (dozens of conditions that overfit to historical data). This strategy occupies the middle ground — it requires meaningful confluence from independent analytical dimensions without over-optimizing to specific historical patterns: Multi-Factor Entry Gate: Every trade requires agreement from regime detection, market structure, momentum oscillators, and optionally CVD order flow and candle patterns. No single factor can trigger a trade alone. Regime-Aware Execution: The strategy only trades in trending regimes by default. It avoids squeeze conditions and can be configured to require specific regime states. Position sizing automatically reduces in volatile or uncertain regimes. Session Intelligence: Trades are filtered by session (London, New York, Kill Zones) and day of week. The strategy avoids low-quality periods and forces position closure at end of day. Dynamic Risk Management: ATR-based stop losses adapt to current volatility. Trailing stops activate after a configurable profit threshold. Position sizing is calculated from account equity and risk percentage, then adjusted by regime conditions. Performance Tracking: Real-time HUD displays win rate, profit factor, max drawdown, daily trade count, and current position status. Strategy Architecture — 9 Modules The strategy is organized into 9 sequential modules, each responsible for a specific aspect of the trading process: Module 1: Regime Detection The regime engine classifies the market into four states using SMA alignment and VWAP slope: Trend Up: SMA 20 > 50 > 200 (bull alignment) AND positive VWAP slope — clear upward momentum Trend Down: SMA 20 < 50 < 200 (bear alignment) AND negative VWAP slope — clear downward momentum Squeeze: Bollinger Band width in the bottom 10th percentile — volatility compression Range: No SMA alignment and flat VWAP slope — sideways conditions The VWAP slope is normalized by ATR to make it comparable across instruments with different price scales. The regime state directly controls whether trading is allowed — by default, the strategy requires a trending regime. Module 2: Market Structure Swing-based structure tracking identifies the directional bias: Pivot highs and lows are detected using configurable lookback When price closes above the last swing high while structure was bearish or neutral, structure flips bullish When price closes below the last swing low while structure was bullish or neutral, structure flips bearish Structure must agree with the regime for entries — regime bullish + structure bullish = long allowed Displacement candle detection identifies aggressive institutional order flow — candles with body >= 70% of range and body >= 1.8x the 20-bar average body. These serve as entry triggers when all other conditions are met. Module 3: Momentum Confirmation Dual momentum confirmation requires both RSI and SMI to agree: RSI: Must be above the bull threshold (default 55) for longs, below the bear threshold (default 45) for shorts Stochastic Momentum Index: Must be positive for longs, negative for shorts. The SMI measures where price sits relative to the midpoint of its recent range, double-smoothed for noise reduction. Both must agree — RSI bullish AND SMI bullish = momentum confirmed for longs Module 3B: CVD Order Flow Confirmation When enabled, Cumulative Volume Delta must support the trade direction: Buy volume is estimated from bullish candles (close > open = full volume, otherwise proportional) Sell volume = total volume minus buy volume CVD = cumulative sum of (buy volume - sell volume) CVD must be above its moving average for longs, below for shorts This ensures that actual volume flow supports the intended trade direction Module 3C: Candle Pattern Detection When enabled, the strategy detects institutional candle patterns as entry triggers: Bullish Engulfing: Current bullish candle fully engulfs the prior bearish candle's body, with volume above average Bearish Engulfing: Current bearish candle fully engulfs the prior bullish candle's body, with volume above average Bullish Pin Bar: Lower wick > 2x body, upper wick < 0.5x body — rejection of lower prices Bearish Pin Bar: Upper wick > 2x body, lower wick < 0.5x body — rejection of higher prices Patterns serve as alternative entry triggers alongside displacement candles. Either a displacement candle, a pattern, or price above SMA20 + VWAP can trigger entry when all other conditions are met. Module 4: Session Filter The session filter controls when trading is allowed: Four session windows: NY Kill Zone (7-10am), London Kill Zone (2-5am), NY Session (9:30am-4pm), London Session (3am-9:30am) Each session can be individually enabled/disabled Day of week filter allows disabling specific days (e.g., avoid Mondays or Fridays) Configurable timezone (default: America/New_York) End-of-day forced close at configurable time (default: 3:45pm) Module 5: Daily Trade Counter A daily trade counter prevents overtrading: Resets at the start of each new day Configurable maximum trades per day (default: 3) Combined with squeeze avoidance and regime filtering for comprehensive trade gating Module 6: Entry Signal Generation Entry signals require ALL of the following to be true simultaneously: // Long entry requires full confluence: // 1. Regime = Trend Up // 2. Structure trend = Bullish (swing break confirmed) // 3. RSI > bull threshold AND SMI > 0 // 4. CVD above its MA (if enabled) // 5. Bar is confirmed (barstate.isconfirmed) // 6. Trade is allowed (daily limit, session, no squeeze) // 7. Trigger: displacement candle OR pattern OR price > SMA20 + VWAP This multi-gate approach ensures that trades are only taken when regime, structure, momentum, volume flow, session, and a specific trigger all agree. The probability of a random signal passing all gates is very low, which is by design. Module 7: Risk Calculations Risk is calculated dynamically for each trade: Stop Loss: ATR * configurable multiplier (default 1.5x) below entry for longs, above for shorts Take Profit: SL distance * reward-to-risk ratio (default 2.0x) Position Size: (Account Equity * Risk Percentage * Regime Multiplier) / SL Distance Regime-Adaptive Sizing: When enabled, position size is reduced to 50% during squeeze conditions and 70% during non-trending conditions. Full size is used only in trending regimes. Module 8: Trade Execution Entries are executed using strategy.entry() with calculated position size. The strategy tracks active trade parameters (entry price, SL, TP) for trailing stop management. Module 9: Exit Management Three exit mechanisms operate simultaneously: Fixed SL/TP: strategy.exit() with the calculated stop loss and take profit levels Trailing Stop: When enabled, activates after price moves a configurable multiple of R in profit (default 1.0R). The trail distance is ATR * configurable multiplier (default 1.0x). The trailing stop only moves in the favorable direction and replaces the fixed SL when it is tighter. End-of-Day Close: All positions are closed at the configured time to avoid overnight risk Performance Tracking The strategy tracks and displays real-time performance metrics: Win Rate: Wins / (Wins + Losses) as a percentage Profit Factor: Gross Profit / Gross Loss — values above 1.5 indicate a healthy edge Max Drawdown: Peak-to-trough equity decline as a percentage Net P&L: Total net profit/loss Daily Trade Count: Current day's trades vs maximum allowed Strategy Settings and Backtesting Notes The strategy is configured with realistic default parameters: Initial Capital: $100,000 Default Position Size: 2% of equity Risk Per Trade: 1.5% (configurable) Commission: Not included by default — users should add commission appropriate to their broker in the strategy settings Slippage: Not included by default — users should add slippage appropriate to their instrument calc_on_every_tick: false — the strategy only evaluates on confirmed bar closes to prevent repainting calc_on_order_fills: true — allows trailing stop updates on fill events Important: Before evaluating backtest results, users should: Add realistic commission for their broker (e.g., $5 per trade for stocks, 0.1% for crypto) Add realistic slippage (e.g., 1-2 ticks for liquid instruments) Verify that the backtest period includes different market conditions (trending, ranging, volatile) Check that the number of trades is sufficient for statistical significance (100+ trades recommended) Understand that past performance does not guarantee future results Input Parameters Risk Management: Risk Per Trade %: Percentage of equity risked per trade (default: 1.5%) Reward:Risk Ratio: TP distance as multiple of SL distance (default: 2.0) SL ATR Multiplier: Stop loss distance as ATR multiple (default: 1.5) ATR Length: Period for ATR calculation (default: 14) Use Trailing Stop: Enable/disable trailing (default: true) Trail After X R Profit: Profit threshold to activate trail (default: 1.0R) Trail ATR Multiplier: Trail distance as ATR multiple (default: 1.0) Max Trades Per Day: Daily trade limit (default: 3) Regime-Adaptive Sizing: Reduce size in non-trending conditions (default: true) Regime Filter: VWAP Slope Lookback: Period for slope calculation (default: 20) Slope Threshold: Normalized threshold for trend detection (default: 0.12) Bollinger Length/Multiplier: BB parameters for squeeze detection (default: 20/2.0) Avoid Squeeze Entries: Skip entries during squeeze (default: true) Require Trend Regime: Only trade in trending conditions (default: true) Structure: Swing Lookback: Pivot detection length (default: 5) Displacement Min Body Ratio: Minimum body/range for displacement (default: 0.7) Displacement Body Multiplier: Minimum body vs average for displacement (default: 1.8) Momentum: RSI Length/Thresholds: RSI parameters (default: 14, bull 55, bear 45) SMI Lookback/Smoothing: SMI parameters (default: 13/25/2) Session Filter: Enable Session Filter: Toggle session-based trade gating Individual session toggles: NY KZ, London KZ, NY, London Day of week toggles: Monday through Friday Force Close End of Day: Toggle EOD position closure Close Hour/Minute: EOD close time (default: 15:45) Order Flow: CVD Confirmation: Require delta direction to match entry (default: true) CVD Lookback: Period for CVD moving average (default: 10) Candle Patterns: Use Pattern Confirmation: Enable pattern detection as entry trigger (default: true) Pattern Volume Multiplier: Minimum volume for pattern confirmation (default: 1.3x) How to Use This Strategy Step 1: Configure for Your Instrument Adjust the ATR multiplier and displacement thresholds for your instrument's volatility. Add realistic commission and slippage in TradingView's strategy settings. Step 2: Set Your Risk Parameters Choose a risk percentage that matches your risk tolerance. The default 1.5% with 2:1 R:R is conservative. Adjust the trailing stop parameters based on your preference for locking in profits vs giving trades room. Step 3: Configure Sessions Enable the sessions relevant to your instrument. For US equities, NY KZ and NY Session are most relevant. For forex, both London and NY Kill Zones are important. Disable days you prefer not to trade. Step 4: Run the Backtest Apply the strategy to your chart and review the backtest results. Check win rate, profit factor, max drawdown, and number of trades. Ensure results are realistic and not the product of overfitting. Step 5: Forward Test Before trading live, run the strategy in paper trading mode for at least 2-4 weeks to verify that live performance matches backtest expectations. Best Practices Always add commission and slippage before evaluating backtest results The strategy works best on liquid instruments with reliable volume data Higher timeframes (15m+) produce fewer but higher-quality trades The multi-gate entry system means trades are infrequent by design — this is a feature, not a bug Regime-adaptive sizing is recommended — it automatically reduces exposure in uncertain conditions The daily trade limit prevents revenge trading and overexposure End-of-day forced close eliminates overnight gap risk for intraday strategies Monitor the HUD during live trading for real-time regime, momentum, and session context If win rate drops below 40% or profit factor drops below 1.0, re-evaluate parameters for current market conditions Limitations The strategy uses lagging indicators (SMAs, RSI, SMI) for entry conditions. Entries occur after the trend has started, not at the exact turn. Regime detection can lag regime changes. The strategy may miss the first portion of a new trend or take a trade just as a trend is ending. CVD is estimated from candle direction, not true order flow data. This is an approximation. Backtest results are hypothetical and do not account for real-world execution issues (partial fills, requotes, connectivity). The strategy is designed for intraday/swing trading. It is not optimized for scalping or long-term position trading. Session filtering is based on EST timezone. Instruments traded primarily in other timezones may need different session definitions. The multi-gate entry system can be too restrictive in some market conditions, producing very few trades. This is intentional — the strategy prioritizes quality over quantity. Past performance in backtesting does not guarantee future results. Market conditions change, and strategies that worked historically may not work in the future. Technical Implementation Built with Pine Script v6 using: calc_on_every_tick=false for non-repainting execution barstate.isconfirmed gating on all signal generation 9-module architecture with clear separation of concerns ATR-based dynamic stop loss and take profit calculation Trailing stop with configurable activation threshold and trail distance Regime-adaptive position sizing with squeeze and non-trending penalties Session detection with timezone support and day-of-week filtering Daily trade counter with automatic reset End-of-day forced close mechanism Real-time performance tracking (win rate, profit factor, max drawdown) Dual momentum confirmation (RSI + SMI) CVD order flow validation Candle pattern detection (engulfing, pin bar) with volume confirmation 6 alert conditions covering entries, regime changes, EOD close, patterns, and drawdown Originality Statement This strategy is original in its multi-dimensional confluence framework. While individual components (RSI, SMI, SMA alignment, session filtering) are established concepts, this strategy is justified because: The 9-module architecture creates a clear, auditable decision pipeline where each module's contribution to the final trade decision is transparent The multi-gate entry system (regime + structure + dual momentum + CVD + session + trigger) requires an unusually high level of confluence, reducing false signals Regime-adaptive position sizing automatically adjusts exposure based on market conditions, a feature rarely seen in published strategies The combination of trailing stops with regime-aware sizing creates a dynamic risk framework that adapts to changing conditions Session filtering with Kill Zone preference and day-of-week controls provides institutional-grade time management CVD order flow confirmation adds a volume-based validation layer that pure price-based strategies lack The real-time HUD with performance tracking provides transparency into strategy behavior that most published strategies do not offer The Volcanic theme provides a cohesive visual identity where every color choice carries meaning (lava = entry, amber = warning, teal = VWAP, crimson = bearish) Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Backtested results are hypothetical and do not represent actual trading. Past performance does not guarantee future results. The strategy involves risk of loss, including the potential loss of the entire investment. Commission, slippage, and other real-world execution costs are not included in the default configuration and must be added by the user for realistic evaluation. The author makes no claims about the profitability of this strategy and is not responsible for any losses incurred from its use. Always use proper risk management, trade with capital you can afford to lose, and consider consulting a qualified financial advisor before trading. -Made with passion by officialjackofalltrades
استراتيجية Pine Script®
من ‎officialjackofalltrades‎
Lattice Trend Helix [JOAT]Lattice Trend Helix Introduction The Lattice Trend Helix is an open-source trend analysis indicator built in Pine Script v6. It combines a GMMA-inspired multi-EMA fan system (19 exponential moving averages across fast and slow groups) with a pivot-center SuperTrend, RSI momentum confirmation, and a comprehensive trend strength scoring system. The indicator detects EMA fan alignment, measures trend strength on a 0-100 scale, identifies fan expansion/contraction dynamics, and generates priority-ranked signals including full confluence locks, fan crosses, SuperTrend flips, EMA 200 reclaims, fan burst breakouts, SuperTrend bounces, and displacement impulses. The Guppy Multiple Moving Average (GMMA) concept, originally developed by Daryl Guppy, uses two groups of EMAs to visualize the behavior of short-term traders (fast group) and long-term investors (slow group). When both groups are aligned and separated, a strong trend is in place. When they converge and cross, a trend change is developing. This indicator extends the GMMA concept by adding a pivot-based SuperTrend for dynamic support/resistance, RSI filtering for momentum confirmation, and a quantified scoring system that turns visual alignment into a measurable number. Why This Indicator Exists Single moving average crossover systems are prone to whipsaws. Even dual-MA systems produce frequent false signals in choppy markets. The GMMA approach solves this by requiring alignment across many EMAs simultaneously — a much higher bar than a simple crossover. This indicator takes that concept further: 19-EMA Fan System: 11 fast EMAs (periods 3 through 23) capture short-term trader sentiment. 8 slow EMAs (periods 25 through 60) capture longer-term investor positioning. Full alignment of all 11 fast EMAs in order is a strong signal that short-term traders agree on direction. Full alignment of all 8 slow EMAs confirms institutional agreement. Pivot-Center SuperTrend: Unlike standard SuperTrend which uses HL2 as the center, this implementation uses a weighted average of detected pivot points. Each new pivot high or low updates the center using the formula: center = (center * 2 + pivot) / 3. This creates a more responsive center line that adapts to actual market structure rather than simple bar midpoints. ATR-based bands around this center define the trend direction. Trend Strength Score (0-100): Quantifies trend strength from three components — fast EMA alignment (50 points), slow EMA alignment (30 points), and price position relative to EMA 200 (20 points). A score of 100 means all 19 EMAs are perfectly aligned and price is on the correct side of the 200 EMA. Fan Spread Dynamics: The distance between the fastest EMA (3) and slowest fast EMA (23), normalized by ATR, measures how "open" the fan is. An expanding fan indicates strengthening trend momentum. A contracting fan warns of potential trend exhaustion or reversal. RSI Momentum Filter: RSI must agree with the fan direction for the highest-confidence signals. This prevents false confluence signals during momentum divergences. EMA 200 Macro Filter: Price must be above the 200 EMA for confirmed bullish signals and below for confirmed bearish signals, ensuring alignment with the macro trend. How the EMA Fan Alignment Works The fast fan consists of 11 EMAs at periods 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, and 23. For bullish alignment, every EMA must be above the next longer one: // Full fast fan bull alignment requires ALL 10 pairs in order bool fastBull = ef3 > ef5 and ef5 > ef7 and ef7 > ef9 and ef9 > ef11 and ef11 > ef13 and ef13 > ef15 and ef15 > ef17 and ef17 > ef19 and ef19 > ef21 and ef21 > ef23 This is an extremely high bar. In choppy markets, the fast EMAs will be tangled and neither fastBull nor fastBear will be true. Only in genuine trending conditions do all 11 EMAs sort into perfect order. The same logic applies to the 8 slow EMAs. The indicator counts how many adjacent pairs are aligned (0-10 for fast, 0-7 for slow) to produce a granular alignment score even when full alignment is not achieved. This allows the trend strength score to reflect partial alignment — a market with 8/10 fast pairs aligned is stronger than one with 4/10, even though neither achieves full alignment. Pivot-Center SuperTrend The SuperTrend component uses a unique center calculation based on detected pivot points: Pivot highs and lows are detected using ta.pivothigh() and ta.pivotlow() with a configurable period Each new pivot updates the center line using an exponentially weighted formula that gives 2/3 weight to the existing center and 1/3 to the new pivot Upper and lower bands are calculated as center +/- (ATR Factor * ATR) Trend direction flips when price crosses the opposite band The trailing stop ratchets in the trend direction — it can only move favorably, never against the trend This pivot-based center produces a SuperTrend that is more responsive to actual market structure than the standard HL2-based version. It adapts to the rhythm of the market's swing points rather than just the midpoint of each bar. Signal Priority System The indicator generates 8 types of signals, ranked by priority with cooldown-based anti-overlap: P1 — HELIX LOCK (highest): Full fan alignment (fast + slow) + RSI confirmation + price above/below EMA 200. This is the maximum confluence signal — every factor agrees. A highlight box is drawn around the signal candle. P2 — LATTICE SYNC: Full fan alignment (fast + slow) without RSI/EMA200 confirmation. Strong but not maximum confluence. P3 — TREND FLIP: SuperTrend direction change. The pivot-center SuperTrend has flipped from bearish to bullish or vice versa. P4 — FAN CROSS: The fast fan median (EMA 13) crosses the slow fan median (EMA 40). This is the GMMA equivalent of a moving average crossover, but using the center of each fan group. P5 — MACRO CROSS: Price crosses the EMA 200 — a major structural event that changes the macro trend context. P6 — FAN BURST: The fan spread transitions from contracting to expanding while the trend score is above 50. This indicates a breakout from compression — similar to a Bollinger squeeze release but measured through EMA dynamics. P7 — ST BOUNCE: Price touches the SuperTrend line and bounces in the trend direction. This is a pullback-to-support/resistance signal unique to this indicator. A separate 5-bar cooldown prevents repeated bounce signals during extended touches. P8 — IMPULSE (lowest): Displacement candle detection — large body (>70% of range, >2x average body). These indicate aggressive institutional order flow. Trend Strength Score Breakdown The 0-100 score is computed from three weighted components: Fast EMA Alignment (50 points): The number of aligned adjacent pairs (max 10) divided by 10, multiplied by 50. Full fast alignment = 50 points. Half alignment = 25 points. Slow EMA Alignment (30 points): The number of aligned adjacent pairs (max 7) divided by 7, multiplied by 30. Full slow alignment = 30 points. EMA 200 Filter (20 points): If price is above EMA 200 and the fast fan leans bullish, or below EMA 200 and the fast fan leans bearish, 20 points are added. This rewards macro-aligned trends. The score is displayed in the HUD with both a number and a visual bar (||||......). Scores above 70 indicate strong, tradeable trends. Scores between 40-70 indicate developing or weakening trends. Below 40 indicates choppy or transitional conditions. Visual Design The indicator uses a "Cyberpunk" color theme — electric cyan, hot magenta, neon yellow, deep violet, and chrome accents: Fast EMA Fan: All 11 lines in a single color that adapts to alignment — cyan for bullish, magenta for bearish, steel grey for neutral. Configurable opacity. Slow EMA Fan: All 8 lines in deeper tones — teal for bullish, violet for bearish, steel grey for neutral. EMA 200: Three-layer neon glow effect (outer glow, mid glow, core line) that shifts between cyan (above) and violet (below). Holographic Ribbon: Fill between the fastest (EMA 3) and slowest (EMA 23) fast EMAs, creating a ribbon that expands with trend strength and contracts during consolidation. SuperTrend: Four-layer neon glow step-line (88%, 72%, 50%, 10% transparency) in cyan (bullish) or magenta (bearish). Regime Background: Subtle background tinting for confirmed bull (cyan) or confirmed bear (magenta) conditions. Candle Coloring: Multi-tier coloring based on confirmation level — confirmed bull/bear, strong bull/bear, weak bull/bear, or neutral. HUD Dashboard The HUD displays 14 metrics: Trend direction (Bullish/Bearish/Neutral) Strength score with visual bar (||||......) Fan state (Strong Bull/Bear, Weak Bull/Bear, Converging) SuperTrend direction EMA 200 position (Above/Below) Alignment counts (Fast: X/10, Slow: X/7) Fan Spread value with state (Expanding/Contracting/Stable) RSI value with bull/bear/neutral classification Confluence count (0-5): fast alignment + slow alignment + SuperTrend agreement + RSI agreement + EMA 200 agreement SuperTrend distance from price Volume ratio (current vs 20-bar average) Confirmed signal status (CONFIRMED BULL/BEAR or ---) Input Parameters EMA Fan: Show Fast/Slow EMAs: Toggle each fan group Show EMA 200: Toggle macro filter line Fast/Slow EMA Opacity: Control transparency of each fan group SuperTrend: Show SuperTrend: Toggle the pivot-center SuperTrend Pivot Period: Lookback for pivot detection (default: 3) ATR Factor: Band width multiplier (default: 2.5) ATR Length: Period for ATR calculation (default: 14) Visual: Show Trend Ribbon: Toggle holographic ribbon fill Show Fan Crosses: Toggle fan cross signals Show Regime Background: Toggle background tinting SuperTrend Neon Glow: Toggle 4-layer glow effect Color Candles: Toggle multi-tier candle coloring HUD Panel: Toggle dashboard Momentum Filter: Show RSI Confirmation: Toggle RSI requirement for confirmed signals RSI Length: Period (default: 14) RSI Bull/Bear Threshold: Directional thresholds (default: 55/45) How to Use This Indicator Step 1: Check Fan Alignment Look at the fan state in the HUD. "Strong Bull" or "Strong Bear" means both fast and slow fans are fully aligned — the strongest trend condition. "Weak" means only the fast fan is aligned — a developing or weakening trend. Step 2: Verify with SuperTrend The SuperTrend should agree with the fan direction. Fan bullish + SuperTrend bullish = high conviction. Disagreement suggests a transitional market. Step 3: Check the Strength Score Scores above 70 are strong trends. Use the visual bar for quick assessment. The confluence count (0-5) tells you how many independent factors agree. Step 4: Trade the Signals HELIX LOCK is the highest-conviction entry — all factors agree. LATTICE SYNC and TREND FLIP are strong. FAN CROSS and MACRO CROSS are structural. ST BOUNCE provides pullback entries within established trends. Step 5: Monitor Fan Spread Expanding fan = strengthening trend. Contracting fan = weakening trend or approaching reversal. FAN BURST signals mark the transition from contraction to expansion. Best Practices The 19-EMA fan is most effective on timeframes of 5 minutes and above. Very low timeframes produce too much noise for meaningful alignment. Full fan alignment is rare and powerful. Do not expect it on every trade — it represents the highest-conviction conditions. The SuperTrend bounce signal works best in established trends. In choppy markets, bounces may fail. Fan crosses (fast median vs slow median) are the GMMA equivalent of MA crossovers — they confirm trend changes but lag the actual turn. The EMA 200 filter is a macro-level gate. Ignoring it means trading against the larger trend, which reduces probability. Use the fan spread dynamics to time entries — entering when the fan is expanding gives you momentum. Entering when it is contracting means you are fighting exhaustion. The confluence count (0-5) is a quick decision filter. 4-5 = high conviction. 2-3 = moderate. 0-1 = low conviction. Limitations EMAs are lagging indicators. Full fan alignment is confirmed after the trend has already started, not at the exact turn. The 19-EMA system uses significant computational resources. On very long charts with many bars, loading may be slower. Pivot-center SuperTrend depends on pivot detection, which has an inherent delay equal to the pivot period. Fan alignment can persist in overextended trends. Full alignment does not mean the trend will continue indefinitely. The RSI filter can occasionally prevent valid signals during strong momentum divergences. The indicator is optimized for trending markets. In range-bound conditions, the fan will be tangled and few signals will fire — which is by design. EMA periods are fixed (3-23 fast, 25-60 slow). Different instruments or timeframes might benefit from different period sets, but the GMMA standard periods are well-tested across markets. Technical Implementation Built with Pine Script v6 using: 19 EMA calculations at global scope (11 fast + 8 slow) for Pine v6 compliance Pivot-based SuperTrend center with exponentially weighted pivot averaging Granular alignment counting (0-10 fast, 0-7 slow) for trend strength scoring Fan spread normalization by ATR for cross-instrument comparability 8-tier priority signal system with cooldown-based anti-overlap Separate cooldown tracking for SuperTrend bounce signals 4-layer neon glow rendering for SuperTrend and EMA 200 Holographic ribbon fill between fan extremes Multi-tier candle coloring based on confirmation level barstate.isconfirmed gating on all signal generation 9 alert conditions covering alignment changes, fan crosses, SuperTrend flips, confirmed signals, and fan expansion Originality Statement This indicator is original in its synthesis of the GMMA fan concept with pivot-center SuperTrend and quantified trend scoring. While GMMA and SuperTrend are established concepts, this indicator is justified because: The pivot-center SuperTrend uses a weighted average of actual market pivots rather than simple HL2, creating a more structurally responsive trend line The trend strength score (0-100) quantifies fan alignment into a single actionable metric with three weighted components Fan spread dynamics (expansion/contraction tracking normalized by ATR) provide momentum acceleration/deceleration information not available in standard GMMA implementations The 8-tier priority signal system with separate cooldown tracking for SuperTrend bounces prevents visual clutter while capturing all significant events RSI momentum filtering and EMA 200 macro gating create a multi-layer confirmation framework that reduces false signals The confluence count (0-5) provides an instant assessment of how many independent factors agree The Cyberpunk theme with 4-layer neon glow and holographic ribbon creates a distinctive visual identity where trend strength is immediately apparent from the fan's visual character Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Moving average systems identify trends after they have started — they do not predict trend changes in advance. Full fan alignment can occur in overextended trends that are about to reverse. SuperTrend bounces can fail. Past alignment patterns do not guarantee future trend behavior. Always use proper risk management and never risk more than you can afford to lose. The author is not responsible for any losses incurred from using this indicator. -Made with passion by officialjackofalltrades
مؤشر Pine Script®
من ‎officialjackofalltrades‎
Sessions + Prev + PDH/PDL + Killzones SuiteDescription This indicator is designed to provide time-based and price-based market context by combining session ranges with commonly referenced prior levels into a single, unified framework. The purpose of the script is contextual analysis, not signal generation. What the script does The script tracks and plots the following elements directly on the price chart: • High and Low ranges for multiple trading sessions (Asia, London, New York morning, and New York afternoon) • High and Low levels from the previous occurrence of each session • Prior Day High (PDH) and Prior Day Low (PDL) • Optional session “killzone” boxes that visually mark active session time windows All calculations are performed using time-based session boundaries and price extrema (high/low) within those windows. Why these components are combined Sessions, previous session levels, and prior day levels are frequently analyzed together by discretionary traders because they represent: • Where liquidity formed earlier in the day or previous day • Where price previously paused, expanded, or reversed • Natural reference points for intraday structure and range analysis Instead of plotting these elements using multiple separate scripts, this indicator integrates them into one consistent framework so that all levels are calculated using the same timezone, session logic, and display rules. This avoids mismatched session times, duplicate levels, or conflicting calculations that can occur when multiple scripts are used simultaneously. How the script works (high-level) • Each session is defined using user-selectable session times and timezone • During a session, the script tracks the highest and lowest traded price • When a session ends, its final high and low are stored as the “previous session” levels • PDH and PDL are calculated using the completed trading day • Lines and labels are anchored to the bars where levels are formed, rather than extending indefinitely • Optional display filters allow users to show only the current trading day to reduce chart clutter No forward-looking logic, prediction, alerts, or trade execution logic is included. How to use it This script is intended to be used as a visual reference tool to help traders: • Identify session boundaries and intraday ranges • Observe how price reacts near prior session highs and lows • Assess where price is trading relative to PDH and PDL • Maintain consistent session timing across different timezones The script does not provide trade entries, exits, alerts, or performance claims. Important notes • This indicator does not generate buy or sell signals • It does not predict future price movement • It is not a trading strategy • All decisions remain the responsibility of the user Disclaimer This script is provided for educational and informational purposes only. It does not constitute financial advice. Trading involves risk, and users should apply appropriate risk management and personal judgment when using any technical tool.
مؤشر Pine Script®
من ‎TradeswithB‎
MR DUCKS EASY READ CANDLESTICK PATTERN INDICATOR 🦆 MR DUCK'S EASY READ CANDLESTICK PATTERN INDICATOR 🦆 Welcome to Mr Duck's Easy Read Candlestick Pattern Indicator — the only candlestick indicator on TradingView with vaporwave aesthetics and a duck that tells you what to do. Built for beginners and experienced traders alike. No confusing jargon. No cluttered screens. Just clean pattern detection with plain English explanations telling you exactly what each pattern means and what to consider doing next. ───────────────────────── 🦆 WHAT IT DETECTS ───────────────────────── ✦ Shooting Star ✦ Hammer & Inverted Hammer ✦ Hanging Man ✦ Doji ✦ Bullish & Bearish Engulfing ✦ Bullish & Bearish Harami ✦ Morning Star & Evening Star ✦ Bull & Bear Marubozu ───────────────────────── 🦆 FEATURES ─────────────── ✦ Color coded labels — Green = Bullish, Red = Bearish, Purple = Neutral ✦ Live panel updates on every candle with pattern name, plain English description, trade advice, and a duck quip ✦ Vaporwave aesthetic — looks good on any dark chart ✦ Built for mobile and desktop ───────────────────────── 🦆 MR DUCK SAYS ───────────────────────── The market will always tell you what it wants to do. Mr Duck is just here to translate. If this indicator helped you, consider sending Mr Duck some Bitcoin: bc1qpjschqe69a5ma9dv6ynu35tu9am0arujrmx2eu ─────────────────────────
مؤشر Pine Script®
من ‎lameduckg‎
1
CRT Marker - Candle Range Theory DetectionThis indicator automatically detects and marks Candle Range Theory (CRT) setups on your chart. A CRT occurs when a candle sweeps the high or low of the previous candle but closes back within that candle's range — signaling a potential reversal. The indicator identifies both bullish and bearish CRTs and draws SL and TP levels based on the reference candle's range. How it works : A bullish CRT is detected when the current candle sweeps below the previous candle's low but closes back above it. A bearish CRT is detected when the current candle sweeps above the previous candle's high but closes back below it. Once detected, the indicator plots the SL level at the swept side and the TP level at the opposite side of the reference candle. Both lines automatically extend forward and are removed once price closes beyond either level. Features : Configurable lookback window (show CRTs from last N days only) Separate SL and TP line colors Customisable line style, width, and label size Auto-cleanup on SL/TP hit or when CRTs fall outside the lookback window Works on any instrument and timeframe Suggested use : Apply on lower timeframes (5M–1H) to catch intraday CRT setups, or on higher timeframes (4H–Daily) for swing entries. Combine with FVGs, order blocks, or market structure shifts for higher-probability entries.
مؤشر Pine Script®
من ‎Joel-James‎
7
Phantom Flow Decoder [JOAT]Phantom Flow Decoder Introduction The Phantom Flow Decoder is an open-source overlay indicator that brings together five core Smart Money Concepts into a single, cohesive tool: market structure detection (BOS/CHoCH), order block identification, liquidity pool tracking with sweep and trap detection, Fair Value Gap (FVG) analysis with consequent encroachment, and premium/discount zone mapping. Rather than toggling between multiple scripts, traders can observe how these institutional concepts interact on the same chart in real time. The indicator is built with Pine Script v6 and uses custom user-defined types to manage every structural element as a self-contained object, keeping the codebase modular and the chart clean even when all features are enabled simultaneously. Why This Indicator Exists Most Smart Money Concept tools on TradingView focus on a single element, such as order blocks alone or FVGs alone. This forces traders to stack multiple concepts and mentally piece together the relationships between them. The Phantom Flow Decoder solves this by synthesizing these elements into one unified system where: Structure breaks validate order blocks: An order block only forms when a confirmed pivot is detected, ensuring the OB has structural significance. Liquidity pools are volume-weighted: Pools are not just swing points; they carry a volume weight that reflects how much participation occurred at that level. FVGs are tracked through their lifecycle: From formation to mitigation, each gap is monitored and visually updated when price fills it. Premium/discount zones provide context: Knowing whether price sits in the top 20% or bottom 20% of the recent range helps traders decide whether to look for longs or shorts. Core Components Explained 1. Market Structure Detection (BOS and CHoCH) The indicator uses pivot-based swing detection to identify Higher Highs (HH), Lower Lows (LL), Higher Lows (HL), and Lower Highs (LH). When price breaks a previous swing level, the script classifies it as either a Break of Structure (BOS), which continues the existing trend, or a Change of Character (CHoCH), which signals a potential trend reversal. Structure strength is calculated by combining volume ratio and price movement relative to ATR. A BOS with high volume and a large price move relative to ATR is considered stronger than one with thin volume. calcStructureStrength(float priceMove, float vol, float atrVal, float volSmaVal) => float volRatio = vol / volSmaVal float priceRatio = priceMove / atrVal math.min(100, (volRatio * 30 + priceRatio * 70)) Each structure break is drawn as a horizontal line extending from the break level, with a compact label ("BOS" or "CHoCH") positioned nearby. Line styles are configurable between solid, dashed, and dotted. Overview showing BOS and CHoCH labels on the chart with structure lines extending from break points 2. Order Block Detection Order blocks represent the last opposing candle before a significant move. The indicator identifies bullish order blocks as the last bearish candle before a swing low, and bearish order blocks as the last bullish candle before a swing high. To filter noise, order blocks must meet a minimum size threshold measured in ATR multiples (default 0.5x ATR). Each order block is drawn as a semi-transparent box with a dashed equilibrium line at its midpoint. When price returns to an order block and penetrates through it, the block is marked as mitigated and its visual is removed from the chart, keeping the display uncluttered. 3. Liquidity Pool Detection with Sweeps and Traps Liquidity pools form at swing points where stop orders are likely clustered. The indicator tracks these pools and monitors them for two key events: Sweeps: When price briefly pierces a liquidity level and then reverses, the pool is marked with a gold "SWEEP" label. The sweep threshold is configurable in ATR multiples. Traps: When a sweep occurs with abnormally high volume, it is classified as a Smart Money Trap and marked with a magenta "TRAP" label, suggesting institutional manipulation. When volume-weighted liquidity is enabled, each pool carries a weight based on the volume at the swing point relative to the 20-period volume SMA. This helps traders prioritize pools where significant participation occurred. 4. Fair Value Gap (FVG) Analysis A bullish FVG forms when the current bar's low is above the high from two bars ago, creating a gap in price delivery. A bearish FVG is the inverse. The indicator filters FVGs by a minimum size (default 0.3x ATR) to avoid plotting insignificant gaps. Each FVG is drawn as a colored box. When Consequent Encroachment is enabled, a dashed line is drawn at the 50% level of the gap, which institutional traders often use as a precise entry point. FVGs are tracked for mitigation: when price fills the gap, the box style changes to indicate it has been mitigated. FVGs older than the configurable max age (default 50 bars) are automatically removed. 5. Premium/Discount Zones Using a configurable lookback period (default 50 bars), the indicator calculates the highest high and lowest low, then divides the range into zones. The top 20% is the premium zone (where sellers have an edge), the bottom 20% is the discount zone (where buyers have an edge), and the 50% level is the equilibrium. These zones are drawn as semi-transparent boxes with an equilibrium line. Visual Elements Swing Point Labels: HH, HL, LH, LL labels at each confirmed pivot Structure Lines: Horizontal lines at BOS/CHoCH levels with configurable styles Order Block Boxes: Semi-transparent boxes with equilibrium midlines Liquidity Pool Boxes: Thin boxes at swing levels with SWEEP/TRAP labels FVG Zones: Colored boxes with optional CE (50%) lines Premium/Discount Zones: Background shading for range context Candle Coloring: Optional trend-based candle coloring Dashboard: Real-time metrics including trend direction, structure counts, and sweep/trap counts Input Parameters Structure Detection: Pivot Sensitivity (2-20, default 5): Lower values detect more pivots, higher values only detect stronger swings Show BOS / Show CHoCH: Toggle each structure type independently Structure Line Style: Solid, Dashed, or Dotted Order Block Detection: Order Block Strength (1-10, default 3): Minimum candles for valid OB Track OB Mitigation: Automatically remove mitigated OBs Min OB Size (ATR): Minimum order block size filter Liquidity Detection: Liquidity Sensitivity (1-10, default 3) Sweep Threshold (ATR): How far price must pierce a level to count as a sweep Volume-Weighted Liquidity: Weight pools by volume participation Fair Value Gaps: FVG Max Age (bars): Auto-remove old FVGs (default 50) Track FVG Mitigation: Monitor and update filled gaps Min FVG Size (ATR): Filter small gaps Show Consequent Encroachment: Draw 50% midline Premium/Discount Zones: Zone Lookback (20-200, default 50) Show Equilibrium Line How to Use This Indicator Step 1: Identify the current market structure by observing BOS/CHoCH labels. A series of bullish BOS confirms an uptrend; a bearish CHoCH warns of a potential reversal. Step 2: Look for unmitigated order blocks in the direction of the trend. In an uptrend, focus on bullish OBs below current price as potential support zones. Step 3: Check if any FVGs overlap with order blocks. This confluence of an institutional entry zone (OB) with an imbalance in price delivery (FVG) creates a high-probability area. Step 4: Confirm the zone is in the discount area (for longs) or premium area (for shorts) using the premium/discount zones. Step 5: Monitor liquidity pools for sweeps. A sweep of a liquidity pool followed by a reversal into a confluence zone is a classic institutional entry pattern. Step 6: Use the dashboard to monitor overall market conditions and structure counts. Example showing a confluence setup: FVG overlapping with an order block in the discount zone, with a nearby liquidity sweep Indicator Limitations Pivot detection has an inherent delay equal to the pivot lookback period. Structure labels appear after confirmation, not in real time. Order blocks and FVGs are based on historical price patterns and do not predict future price movement. Volume-weighted features work best on instruments with reliable volume data. Low-volume instruments may produce less meaningful liquidity weights. The indicator draws many visual elements simultaneously. On lower timeframes with high bar counts, consider reducing the Max Structure Elements setting to maintain chart performance. Premium/discount zones are relative to the lookback period. Changing the lookback significantly alters the zones. Smart Money Concepts are interpretive frameworks, not guaranteed predictors. Always use proper risk management. Originality Statement This indicator is original in its unified integration approach. While individual SMC components (BOS, CHoCH, order blocks, FVGs, liquidity pools) exist in separate scripts, this indicator is justified because: It combines five distinct SMC methodologies into a single, object-oriented system using Pine Script v6 user-defined types Volume-weighted liquidity pool detection adds a quantitative dimension to traditional swing-based liquidity mapping Smart Money Trap detection (high-volume sweeps) provides a layer of institutional activity analysis not found in standard liquidity tools FVG lifecycle tracking with consequent encroachment gives traders precise institutional entry levels The premium/discount zone overlay provides immediate context for whether a setup is in a favorable or unfavorable area of the range All components share state and interact: structure breaks trigger order block creation, liquidity pools are validated against volume data, and FVGs are checked against premium/discount positioning Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Smart Money Concepts are analytical frameworks that help interpret market behavior, but they do not guarantee profitable trades. Past patterns do not guarantee future results. Always use proper risk management, including stop losses and position sizing appropriate for your account. The author is not responsible for any losses incurred from using this indicator. -Made with passion by officialjackofalltrades
مؤشر Pine Script®
من ‎officialjackofalltrades‎
Kerzenerweiterung by AUMBaumgartnerKerzenerweiterung – Candlestick Pattern Classifier This indicator automatically detects and classifies key candlestick patterns, highlighting them directly on the chart with colored candles and arrow markers. Ideal for traders who want a quick visual overview of pattern activity. Detected Patterns: Inside Bar (IB) – Current candle is fully within the prior candle's range. Bullish = yellow, Bearish = orange. Outside Bar (OB) – Current candle exceeds both the high and low of the prior candle. Bullish = dark blue, Bearish = dark purple. Aussenstab (A-Bar) – A candle whose close breaks above the high or below the low of the last identified A-Bar. Bullish = light blue, Bearish = pink. The A-Bar range is additionally visualized as a colored box. Hammer / Shooting Star – Candles with extended shadows, filtered by Fibonacci level, ATR size, swing high/low context, and optional EMA alignment. Hammer = white, Shooting Star = grey. Reversal Candle – A candle that exceeds the high or low of the previous 4 candles and closes in the opposite direction. Marked with a yellow square and a yellow candle border. Settings: Fib Level – Minimum Fibonacci ratio for Hammer/Star detection (default: 0.4) Color Filter – Enforces bullish/bearish color confirmation for Hammer/Star ATR Filter – Minimum candle size relative to ATR(5) EMA Filter – Optional EMA filter to align signals with trend direction Box Colors – Customizable background colors for A-Bar boxes End on Change – Automatically closes the A-Bar box on the next A-Bar detection
مؤشر Pine Script®
من ‎AUMBaumgartner‎
TA-Lib Candlestick PatternsCandlestick Patterns TA-Lib — precise candlestick pattern recognition from the TA-Lib library for TradingView (Pine Script v5). Displays 40+ classic patterns with individual settings on any timeframe. Индикатор "Свечные формации TA-Lib" — точное распознавание свечных паттернов из библиотеки TA-Lib для TradingView (Pine Script v5). Показывает более 40 классических паттернов с индивидуальными настройками на любом таймфрейме. Supported Patterns / Поддерживаемые паттерны: Engulfing / Поглощение Harami / Харами Harami Cross / Крест харами Piercing / Пронизывающая свеча Dark Cloud Cover / Тёмные облака Kicking / Высокий прыжок Kicking By Length / Kicking By Length Counterattack / Контр-атака Matching Low / Совпадение по нижнему уровню Homing Pigeon / Почтовый голубь In-Neck / На линии шеи On-Neck / У линии шеи Thrusting / Толчок Separating Lines / Разделяющиеся свечи Gap Side-by-Side White / Смежные белые с гэпом Morning Star / Утренняя звезда Evening Star / Вечерняя звезда Morning Doji Star / Утренняя звезда дожи Evening Doji Star / Вечерняя звезда дожи Three White Soldiers / Три белых солдата Three Black Crows / Три чёрные вороны Three Inside Up/Down / Три дня изнутри вверх/вниз Three Outside Up/Down / Три дня снаружи вверх/вниз Three-Line Strike / Тройной удар Three Stars In South / Три звезды на юге Tristar / Три звезды Identical Three Crows / Три одинаковые вороны Advance Block / Отбитая атака Stalled Pattern / Размышление Abandoned Baby / Брошенный младенец Upside Gap Two Crows / Две взлетевшие вороны Two Crows / Две вороны Stick Sandwich / Прилипший сэндвич Unique 3 River / Особая впадина 3 реки Ladder Bottom / Ступенчатое дно Breakaway / Пробой Tasuki Gap / Разрыв тасуки Rise/Fall Three Methods / Метод трёх поднимающихся/падающих Mat Hold / Удержание на татами X-Side Gap Three Methods / Верхний/нижний разрыв метода трёх Concealing Baby Swallow / Прячущаяся ласточка Hikkake / Хиккаке Modified Hikkake / Modified Hikkake Key Features / Основные возможности: Individual toggles for each pattern / Индивидуальные переключатели для каждого паттерна Multi-timeframe support / Поддержка мультитаймфрейма Pattern labels on chart / Лейблы паттернов на графике Perfect for Forex, stocks, crypto analysis / Идеален для анализа Forex, акций, криптовалют
مؤشر Pine Script®
من ‎Renyfer‎
STRONG S/R Lines/Zones MTF Only[EXPERIMENTAL] by Chaitu50cSTRONG S/R Lines / Zones (MTF Only) — EXPERIMENTAL by Chaitu50c Overview This indicator is a higher-timeframe based Support and Resistance detection system designed to project strong structural levels onto lower-timeframe charts without repainting. All calculations are performed exclusively on a selected higher timeframe (30-minute, 45-minute, or 1-hour), while the plotted levels adapt smoothly to the active chart timeframe. The main objective is to highlight price areas where strong institutional buying or selling pressure has already been confirmed on the higher timeframe. Higher Timeframe Logic The indicator operates strictly on confirmed higher-timeframe candles. It tracks completed higher-timeframe bars and evaluates their open, high, low, and close values only after the candle is fully closed. This ensures that every detected support or resistance level is final and will not shift or repaint during live market conditions. Resistance Detection Resistance levels are identified when bearish price action appears after bullish structure on the higher timeframe. The logic looks for either a two-candle or three-candle sequence where selling pressure becomes dominant and price closes below important prior lows. Once such a sequence is confirmed, the resistance area is constructed using a combination of wick highs and candle body highs from the triggering higher-timeframe candles. This defines a realistic supply zone rather than a thin, arbitrary line. Support Detection Support levels are detected using the opposite logic. When bullish price action emerges after bearish structure and the higher-timeframe candle closes above key prior highs, the indicator interprets this as strong buying acceptance. The support area is formed using wick lows and candle body lows from the relevant higher-timeframe candles, capturing the price region where demand clearly outweighed supply. Strength and Overlap Handling When newly detected support or resistance levels overlap with existing ones, the indicator does not create additional zones. Instead, it strengthens the existing level internally. Each overlap increases the strength count of that level, which is visually represented through increased line thickness or adjusted opacity. This allows strong, repeatedly respected levels to stand out naturally while keeping the chart uncluttered. Line Mode vs Zone Mode Users can choose whether levels are plotted as single horizontal lines or as full price zones. Line mode provides precise levels suitable for scalping and exact reaction entries. Zone mode displays the complete price range where rejection or acceptance occurred, which is useful for managing volatility and broader structure analysis. Both modes use identical detection logic; only the visual representation changes. Zone and Line Extension Control The “Number of Past Zones to Extend” option controls how many previously detected support and resistance levels remain visible and extended into the future. A value of zero extends only the most recent support and resistance, keeping the chart minimal. Higher values preserve additional historical higher-timeframe levels that may still influence current price action. Visual Customization Line appearance can be customized using user-defined colors, styles, and base widths. These settings define how new levels initially appear on the chart. As levels gain strength through repeated confirmations, the indicator automatically adjusts visual properties to reflect their growing importance, without requiring manual changes. Non-Repainting Behavior All higher-timeframe data is requested with lookahead disabled. This guarantees that every level is drawn only after the higher-timeframe candle has fully closed. Once a support or resistance level appears, it remains fixed and reliable for live trading, backtesting, and replay analysis. Practical Usage This indicator is intended to be used as a structural reference rather than a standalone buy or sell signal. It is most effective when combined with price action confirmation, volume analysis, or lower-timeframe entry techniques. The tool excels at identifying high-probability reaction zones, pullback areas, and major breakout levels derived from higher-timeframe structure. Final Notes This indicator is marked as experimental and is designed for traders who understand higher-timeframe structure and contextual analysis. When used correctly, it provides a clean, non-repainting view of strong support and resistance levels that align lower-timeframe decisions with higher-timeframe intent.
مؤشر Pine Script®
من ‎chaitu50c‎
Fair Value Range Breakout [by Oberlunar]Fair Value Range Breakout by Oberlunar is a community tool built around higher-timeframe structure and HTF imbalance zones. It reconstructs and draws up to three recent candles from a user-selected HTF and optionally displays their High, Low, Open, and Close levels with configurable styles and colours, keeping HTF candles and FVG ranges readable while working on lower timeframes. On each confirmed HTF candle close, the script scans the last three closed HTF candles to detect bullish and bearish Fair Value Gaps using either wicks or candle bodies as the reference. You can filter gaps by a minimum size in ticks, keep only the most recent zones, and extend zones to the right for ongoing interaction tracking. Set the HTF timeframe according to your horizon, such as Daily for swing context or H4-H2 for intraday structure, then enable the HTF candle overlay and choose which OHLC levels to show for each candle. In the HTF FVG settings, pick Wicks for zones that reflect extremes or Bodies for tighter zones, and increase the minimum gap in ticks if you want fewer, cleaner zones. If you use signals, choose “Close inside” for stricter interaction requirements or “Wick touch” for earlier detection, and apply a small exit buffer in ticks when noise is high. A practical workflow is using HTF=2H on a 5m or 15m chart, monitoring price interaction with an HTF FVG zone, and treating the plotted signal as confirmation of a zone exit rather than a standalone entry system. Attribution and derivative work notice is explicit and intentional. The HTF candle architecture component is a derivative work based on HTF Candle Architecture by BigBeluga, and the HTF FVG engine is a derivative work based on “Fair Value Gap MTF” by Oberlunar. The original references are provided above exactly and in the code as required. Enjoy Oberlunar 👁️★
مؤشر Pine Script®
من ‎oberlunar_tr‎
Consecutive Candle Streak Analysis [LuxAlgo]The Consecutive Candle Streak Analysis indicator provides an empirical framework for quantifying consecutive price trends by tracking streaks based on consecutive positive or negative returns. The tool benchmarks current market behavior against a comprehensive historical lookback to identify potential exhaustion points and mathematical reversal probabilities. 🔶 USAGE This tool is optimized for high-timeframe analysis including Daily, Weekly, Monthly, and Quarterly intervals. Traders can use the dashboard to assess if a move is statistically overextended by comparing the current percentage change to the Max and Avg Stage outcomes. When a trend enters uncharted territory, the script triggers an UNPRECEDENTED alert, signaling that current price action has no historical parallel in the selected lookback. 🔹 Historical Benchmarking The indicator automatically identifies every historical occurrence of a streak matching or exceeding the current length. Visual highlight boxes are projected over these historical matches, illustrating the absolute high and low ranges reached during those specific periods. 🔹 Statistical Analysis The segmented dashboard provides real-time calculations for both Continuation and Reversal probabilities based on historical frequency distributions. It compares the current percentage move to historical performances at the exact same streak duration and displays the date of the longest detectable historical streak for institutional context. 🔶 DETAILS The script processes historical bars to identify "completed streaks" where price has moved in a consistent direction (Close vs Previous Close). By storing these events in an array, the script can provide a granular comparison between the current active streak and every similar event in the past. This allows for a stage-by-stage analysis of how price typically behaves once a certain streak length is achieved. 🔶 SETTINGS Max Historical Streaks : Adjusts the depth of the historical buffer used for benchmarking calculations. Highlight Historical Matches : Toggles the visibility of visual highlight boxes and their respective directional length labels. Show 'Length & Longer' Stats : Adds an expanded dashboard section detailing the eventual outcomes of similar historical trends. Dashboard : Toggles the visibility of the statistical dashboard. Position : Determines the anchor point of the dashboard on the chart. Size : Adjusts the text and table scale for different screen resolutions.
مؤشر Pine Script®
من ‎LuxAlgo‎
All-in-One Candlestick Pattern [v6] - v.01This Pine Script code defines a comprehensive technical analysis indicator designed to automatically identify and label a wide variety of candlestick patterns on a financial chart. The script is structured into distinct sections that first establish user-defined thresholds and then apply mathematical logic to categorize market sentiment into bullish, bearish, or neutral formations. By calculating specific relationships between a candle's body, wicks, and its position relative to a moving average trend, the tool provides real-time visual signals and automated alerts for traders. Ultimately, this script serves as a sophisticated decision-support tool that translates complex price action into clear, actionable geometric markers and notifications.
مؤشر Pine Script®
من ‎trader-tprice‎