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Directional Probability SystemDEVELOPED BY A FORMER GOLDMAN SACHS TRADER Overview Assigns a real-time probability of upward or downward continuation, turning historical distributions into forward-looking conviction estimates. How It Works Analyzes rolling return distributions and volatility-adjusted price dynamics to compute the probability of the next bar closing higher or lower, conditioned on the current regime. Use Cases Quantify confidence before entry Filter trades — act only when directional probability exceeds a threshold (e.g., 65%) Blend with Trend Exhaustion to detect when probabilities diverge from momentum strength Interpretation Example Example Output: Upward probability: 72% Meaning: Moderate conviction for continuation; may justify partial entry or scaling up
Chỉ báo Pine Script®
của HDAlgos
Regime Detection engineDEVELOPED BY A FORMER GOLDMAN SACHS TRADER Overview Classifies the market into Trend or Chop environments using a machine-learning Hidden Markov Model. How It Works Trained offline on historical returns, volatility, and persistence metrics for each asset and timeframe. Outputs the current regime, trend probability, and expected duration before regime transition. Use Cases Disable or reduce trend-following systems during choppy phases Increase conviction when regime probability confirms trending conditions Adapt portfolio risk and forecast scaling dynamically Interpretation Example Example Output: Regime: Trend, Probability 82% Meaning: Continue trading with directional bias active. If Chop with 68% probability, reduce position size or tighten stops
Chỉ báo Pine Script®
của HDAlgos
Heavenly Clouds Heavenly Clouds (Breathing Core Edition) visualizes short-term market momentum using a dynamic dual-EMA cloud that fades in and strengthens as trends accelerate. When the market consolidates, the cloud softens and fades; as the EMAs spread apart and trend strength builds, the cloud’s color intensity increases—creating a smooth “breathing” glow that visually tracks price expansion and contraction. Bullish trend: Teal glow Bearish trend: Crimson glow Neutral zones: Soft gray haze Dynamic brightness: Increases automatically with EMA separation Optimized for dark backgrounds, this cloud stays lightweight, minimal, and perfectly responsive for high-frequency scalping or trend visualization.
Chỉ báo Pine Script®
của ngukevin90
ML Regime / Covariance Hybrid SystemDEVELOPED BY A FORMER GOLDMAN SACHS TRADER Overview The MS-VAR Sensor maps dynamic leader–follower relationships between assets and detects how those connections evolve across market regimes. It combines Vector Autoregression (VAR) — which models how assets influence one another through time — with Markov-Switching state dynamics, allowing the relationships to shift between trend and chop conditions. How It Works The system estimates a VAR model across a defined cluster of assets, quantifying how each asset's returns are influenced by lagged returns of others. Then, a two-state Markov-Switching process (Trend vs Chop) determines which regime the system is currently in and adjusts the relationship map accordingly. For each detected pair, the table displays: Leader / Follower (which asset statistically leads and which reacts), Lag (number of bars by which the follower tends to react), Regime (current dominant state), and Prob (probability that the pair is operating within that regime). These relationships are recalculated periodically and refitted on rolling windows, ensuring they adapt to structural changes in cross-asset behaviour. Use Cases Anticipatory Trading: Use leader signals to pre-empt moves in followers (e.g., ES1! leads NQ1! by 2 bars) Regime-Aware Correlation: Identify when normally correlated assets decouple under low-trend probability (chop regime) Cross-Market Confirmation: Validate directional bias by checking if leadership clusters align with Combined Forecast direction Signal Gating: In regime-filtered backtests, restrict trading to high-probability trend phases for improved Sharpe ratios Interpretation Example Example Output: ES1! → NQ1! (Lag = 2, Regime = Trend, Prob = 82%) — CL1! → RB1! (Lag = 1, Regime = Trend, Prob = 77%) Meaning: Equity index leadership; follow ES1! for early momentum cues. Crude leading refined products; confirms energy cluster coherence. "Learns which assets lead, which follow, and when those connections matter."
Chỉ báo Pine Script®
của HDAlgos
EMAC ForecastDEVELOPED BY A FORMER GOLDMAN SACHS TRADER Overview The EMAC Forecast (Exponential Moving Average Composite) measures trend acceleration and deceleration across multiple time constants. How It Works Combines several EMAs into a composite signal that adapts to volatility and persistence. Unlike a standard MA crossover, EMAC identifies momentum acceleration rather than lagging confirmation. Use Cases Detect early stages of trend ignition Use in combination with the Combined Forecast for confirmation Filter short-term noise by weighting smoother long-term components Interpretation Example Example Output: EMAC rising sharply Meaning: Acceleration phase; confirms strong directional momentum
Chỉ báo Pine Script®
của HDAlgos
TRADE ORBIT : MACD-V- HTF TREND FILTER(SYSTEM-I)✅ DESCRIPTION — TRADE ORBIT : MACD-V HTF TREND FILTER (SYSTEM-I) This indicator is a multi-timeframe MACD-V based trend-filtering system designed to detect strong directional momentum using higher-timeframe confirmation and volatility conditions. 🔷 CORE CONCEPT The script compares: Current-TF MACD-V 4× Higher-TF MACD-V crossover signals 16× Higher-TF MACD-V background trend filter ATR-based volatility confirmation Only when momentum aligns and volatility is favorable will signals be considered valid. 🔷 COMPONENTS ✅ 1) MACD-V (Current Timeframe) Uses EMA(12) − EMA(26) with signal EMA(9) Indicates baseline market momentum Plots two lines: Yellow = MACD-V White = Signal Levels: +50 → Strong bullish zone 0 → Neutral −50 → Strong bearish zone ✅ 2) ATR (Current Timeframe) ATR → measures volatility ATR SMA → smoothing Used visually only ✅ 3) Multi-TF Framework The script calculates higher-timeframe equivalents by multiplying the current timeframe. 🔹 HTF-1 — 16× TF (Trend background) Example: Chart TF HTF-1 5m 80m 15m 240m 1h 16h These values are mapped to the nearest valid TF: (1, 3, 5, 15, 30, 45, 60, 120, 180, 240, 360, 720, D, W, M) Purpose: Defines macro-direction: Green background → bullish MTF momentum Red background → bearish MTF momentum 🔹 HTF-2 — 4× TF (Signal generation) Example: Chart TF HTF-2 5m 20m 15m 60m 1h 4h Used for filtering MACD crosses.
Chỉ báo Pine Script®
của TRADEORBIT01
PCA SensorDEVELOPED BY A FORMER GOLDMAN SACHS TRADER Overview The PCA Sensor isolates the true underlying drivers of market movement by decomposing each asset's return into two parts — the factor (systemic, cluster-driven return) and the residual (asset-specific deviation). It's designed to detect when an asset's price diverges significantly from the behaviour of its correlated group — a signal that often precedes relative mean reversion or catch-up momentum. How It Works Using Principal Component Analysis (PCA), the system identifies the dominant return factors within a defined cluster (e.g., equity indices, bonds, metals, FX). Each asset's daily return is then expressed as: Total Return = Factor + Residual. Factor is the portion of return explained by common market drivers (systemic behaviour). Residual is the idiosyncratic return unexplained by those shared factors — the "deviation." The system tracks both components as basis points and percentage share of the total return, giving a clear picture of how much of each asset's movement is market-driven versus unique. When residuals grow large and persistent — especially when mean-reversion conditions are flagged — the system highlights those assets as potential opportunities. Use Cases Relative-Value Trades: Identify assets whose residuals deviate significantly from their cluster factor (e.g., long laggards / short leaders) Cross-Asset Diagnostics: See which markets are currently factor-driven (macro regime dominant) vs. residual-driven (idiosyncratic dispersion) Volatility & Correlation Monitoring: Detect when residual volatility spikes, signalling reduced correlation within clusters Timing Mean Reversion: Combine with the Regime Detection Engine — trade reversion only during choppy or transitional regimes Interpretation Example Example Output: ES1! — Factor: +9bp (7.8%), Residual: −107bp (92.2%) → USDJPY — Factor: +26bp (28.6%), Residual: +64bp (71.4%), Mean-Revert = Y Meaning: ES1! heavily residual-driven; potential for mean reversion if regime is choppy. USDJPY residual return dominant; watch for pullback or alignment with cluster. "Quantifies when an asset is moving with the market — and when it's gone off on its own."
Chỉ báo Pine Script®
của HDAlgos
Checklist OPR - 3/13CHECKLIST ENTRY – 3/13 (Strict Trading Plan) This indicator displays a **visual checklist in the bottom-right corner** to validate trade entries based on a disciplined plan. **Entry Rule**: → **At least 3 out of 13 confirmations** must be manually checked. **13 Confirmations**: • Flux follow-through (H1, H4, D) • OPR breakout • OPR retest / reintegration • Weightless bubble • Polarity zone (M15 / H1 / H4 / D / W) • Fibonacci level 0.5 / 0.382 / 0.618 • RSI divergence • RSI divergence + noise breakout **Real-Time Display**: - Green checkmark = Validated - Gray circle = Not validated - Final status: → **ENTRY AUTHORIZED** (green) if ≥3 → **OUT OF PLAN** (red) otherwise **Customizable**: - Adjust threshold (default: 3) in settings - Check/uncheck live via indicator inputs **How to Use**: 1. Open indicator settings 2. Check the criteria met on the chart 3. Status updates instantly Perfect for disciplined traders. **No entry without 3 confirmations.**
Chỉ báo Pine Script®
của Tomy34
Kalman Adaptive Score Overlay [BackQuant]Kalman Adaptive Score Overlay A powerful indicator that uses adaptive scoring to assess market conditions and trends, utilizing advanced filtering techniques to smooth price data, enhance trend-following precision, and predict future price movements based on past data. It is ideal for traders who need a dynamic and responsive trend analysis tool that adjusts to market fluctuations. What is Adaptive Scoring? Adaptive scoring is a technique that adjusts the weight or importance of certain price movements over time based on an ongoing assessment of market behavior. This indicator uses dynamic scoring to assess the strength and direction of price movements, providing insight into whether a trend is likely to continue or reverse. The score is recalculated continuously to reflect the most up-to-date market conditions, offering a responsive approach to trend-following. How It Works The core of this indicator is built on advanced filtering methods that smooth price data, adjusting the response to recent price changes. The filtering mechanism incorporates a Kalman filter to reduce noise and improve the accuracy of price signals. Combined with adaptive scoring, this creates a robust framework that automatically adjusts to both short-term fluctuations and long-term trends. The indicator also uses a dynamic trend-following component that updates its analysis based on the direction of the market, with the option to visualize it through colored candles. When a strong trend is identified, the candles are painted to reflect the prevailing trend, helping traders quickly identify whether the market is in a bullish or bearish state. Why Adaptive Scoring Is Important Dynamic Response: Adaptive scoring allows the indicator to respond to changing market conditions. By adjusting its sensitivity to price fluctuations, it ensures that trends are captured accurately, without being overly influenced by short-term noise. Trend Precision: By combining Kalman filtering with adaptive scoring, the indicator offers a precise and smooth trend-following mechanism. It helps traders stay aligned with the market direction and avoid false signals. Versatility: The indicator works across multiple timeframes, making it adaptable to different trading strategies, from scalping to long-term trend-following. Confidence in Market Moves: The adaptive scoring component provides traders with confidence in the strength of the trend, helping them determine when to enter or exit positions with greater certainty. How Traders Use It Trend-Following Strategy: Traders can use this indicator to confirm trends and refine their entries and exits. The colored candles and adaptive scoring offer a visual cue of trend strength and direction, making it easier to follow the prevailing market movement. Multi-Timeframe Analysis: The script supports multi-timeframe analysis, allowing traders to analyze trends and scores across different timeframes (e.g., 1m, 5m, 15m, 30m, 1h, 4h, 12h). This is useful for traders who want to confirm trends on both short and long-term charts before making a trade. Refining Entry Points: By utilizing the adaptive scoring, traders can identify potential entry points where the score indicates a high probability of trend continuation. Higher scores signal stronger trends, guiding decision-making. Managing Risk: Traders can use the adaptive scoring system to assess trend stability and adjust their risk management strategies accordingly. For example, higher confidence in the trend allows for larger positions, while lower confidence may require smaller, more cautious trades. Key Features and Benefits Kalman Filter for Noise Reduction: The Kalman filter helps to smooth out market noise and allows for a clearer understanding of the underlying price movements. This is particularly useful in volatile markets where short-term fluctuations can cloud trend analysis. Adaptive Scoring for Flexibility: Adaptive scoring ensures that the indicator remains responsive to changing market conditions. It automatically adjusts to the strength of price movements, enabling better detection of trends and reversals. Visual Trend Signals: The indicator provides visual signals through candle coloring, making it easier to identify whether the market is in a bullish, neutral, or bearish phase. Multi-Timeframe Display: The indicator’s multi-timeframe feature allows traders to see the trend and adaptive score on different timeframes simultaneously, providing a comprehensive view of the market. Customizable Settings: Traders can customize the indicator’s settings, such as the filter parameters, scoring thresholds, and visualization options, tailoring it to their specific trading style and strategy. Why This is Important for Traders Improved Decision Making: The adaptive nature of the scoring system allows traders to make more informed decisions based on real-time market data, without being influenced by past volatility. Market Clarity: By smoothing out price movements and scoring trends adaptively, the indicator provides a clearer picture of market behavior, which is essential for effective trend-following and timing entries and exits. Increased Confidence in Signals: Adaptive scoring ensures that signals are based on the current market structure, reducing the likelihood of false positives. This boosts traders' confidence when acting on signals. Conclusion The Kalman Adaptive Score Overlay offers a dynamic and responsive trend-following tool that integrates Kalman filtering with adaptive scoring. By adjusting to market fluctuations in real time, it allows traders to identify and follow trends with greater precision. Whether you are trading on short or long timeframes, this tool helps you stay aligned with market momentum, ensuring that your entries and exits are based on the most up-to-date and reliable data available.
Chỉ báo Pine Script®
của BackQuant
Cross-Sectional Relative MomentumDEVELOPED BY A FORMER GOLDMAN SACHS TRADER Overview The Cross-Sectional Momentum / Relative Value System measures and ranks assets against each other in real time to identify leaders (assets showing relative strength) and laggards (assets underperforming their cluster). It provides an institutional-style snapshot of relative momentum across a defined universe — highlighting where capital is flowing and where mean-reversion potential is building. How It Works The system continuously evaluates a cluster of correlated assets — such as FX pairs, equity indices, or commodities — and computes each instrument's standardized forecast value (typically scaled between −20 and +20). This creates a dispersion map of momentum within the group: When dispersion expands (the gap between leaders and laggards widens), it signals a momentum regime: markets are trending and leadership is clear. When dispersion compresses, it indicates convergence and an increased likelihood of mean-reversion. Each asset is then tagged dynamically as Leader or Laggard, based on its position within the cluster's distribution. This ranking helps you visualise market structure — which assets are driving the move and which are trailing. Use Cases Rotational Strategies: Shift exposure toward top-ranked assets (leaders) while fading underperformers (laggards) Leadership Transitions: Detect when leadership flips (e.g., GBPUSD moving from laggard to leader), signalling rotation or regime change Portfolio Diversification: Balance exposures by ensuring allocation across uncorrelated or complementary clusters Confirmation Tool: Combine with regime or volatility systems to determine when relative momentum is statistically significant (momentum phase) or mean-reverting (consolidation phase) Interpretation Example Example Output: Leader Assets: GBPCHF (+8.8), GBPUSD (+2.7) — Laggard Assets: EURUSD (−2.9), USDCAD (−3.6) Meaning: This configuration suggests GBP-linked strength relative to USD-linked weakness — a cross-pair rotation opportunity "Ranks assets by strength and timing — revealing where leadership, rotation, and mean-reversion are statistically emerging."
Chỉ báo Pine Script®
của HDAlgos
TRADE ORBIT:- MACD-V HISTOGRAM FLIP AND MACD- CROSS OVER SY 2&3✅ DESCRIPTION This indicator is an enhanced MACD-V (ATR-normalized MACD) system that integrates Higher-Timeframe confirmation, level filtering, and histogram zero-line signals for improved trend and momentum recognition. 🔹 Core Logic MACD-V normalizes the traditional MACD using ATR to create a volatility-adjusted oscillator. This helps compare momentum across markets and conditions more consistently. 🔹 Key Features ✅ MACD-V Calculation • Uses (EMA Fast – EMA Slow) / ATR × 100 • Produces macd, signal, and histogram lines ✅ Higher Time-Frame (HTF) Filtering • Multiplies current timeframe by a user-controlled factor • HTF MACD-V + signal values are fetched safely (no repainting) • Only HTF crossovers that satisfy level requirements are considered ✅ Level-Filtered Signals • Bullish valid only when MACD-V ≥ +50 • Bearish valid only when MACD-V ≤ –50 This ensures higher conviction and trend strength before signaling. ✅ Histogram Zero-Line Signals • Histogram crossing above 0 → BUY • Histogram crossing below 0 → SELL • Visual triangles mark direction ✅ Background Highlighting • Blue = HLTF-Bullish cross (+50 filter) • Black = HTF-Bearish cross (–50 filter) ✅ Visual Overbought/Oversold Levels • Horizontal reference bounds (±150 default) ✅ Alerts (No Expression Errors) Four ready-to-use alerts with literal text: HTF MACD-V Bull + Level HTF MACD-V Bear + Level Histogram Zero BUY Histogram Zero SELL No string-error or concatenation issues. 🔹 Recommended Use • Identify strong momentum aligned with a higher timeframe • Confirm trends with +50 / –50 filters • Monitor early shifts via histogram zero crossings Best for swing traders, position traders, and multi-timeframe analysts.
Chỉ báo Pine Script®
của TRADEORBIT01
Conditions DashboardDEVELOPED BY A FORMER GOLDMAN SACHS TRADER Overview The Conditions Dashboard acts as the framework's situational awareness layer — translating raw indicator outputs into cohesive market "states." How It Works At its core, State Detection evaluates a structured matrix of technical and statistical indicators (e.g., EMAs, volatility, skewness, ADX, momentum accelerators). Each component feeds a binary or scaled state — such as Long, Short, Bull, Bear-Continue, or Contracting. Two synchronized tables form the visual interface: the Indicator State Table displays active sub-systems showing each indicator's current state, and the Timeframe Alignment Table aggregates EMAC and trend state readings across multiple timeframes. Use Cases Multi-timeframe confirmation: enter trades only when short- and medium-term states align Conflict detection: stand aside when lower- and higher-timeframe signals diverge Momentum monitoring: use the Forecast/Accel and Momentum State rows to identify strengthening vs. weakening phases Visual diagnostics: embed the table on live charts to instantly understand current structure Strategic scaling: combine with the Combined Forecast or Trend Exhaustion Systems Interpretation Example Example Output: All timeframes: Bull-Continue Meaning: Strong aligned uptrend; maintain or scale into longs. Mixed states indicate transition phase; reduce exposure and monitor for volatility compression
Chỉ báo Pine Script®
của HDAlgos
Combined Forecast SystemDEVELOPED BY A FORMER GOLDMAN SACHS TRADER Overview The Combined Forecast System is the backbone of the framework — a single model that merges multiple independent forecast engines into one conviction score. How It Works It continuously aggregates signals derived from trend, momentum, mean-reversion, and volatility features, normalizing each into a standardized range (−20 to +20). The output is both a numerical forecast and a market state (bullish/bearish, strengthening/weakening). Use Cases Gauge the overall directional conviction of the market Adjust exposure dynamically (e.g., 50% position when forecast = +10, full position at +20) Identify regime shifts as forecasts transition between states Use as a top-level filter for discretionary or automated trading strategies Interpretation Example Example Output: Forecast = +15 → "Bullish Strengthening" Meaning: Suggests accelerating upward momentum; scale into longs, tighten short exposure
Chỉ báo Pine Script®
của HDAlgos
7D Historical Volatility (Regimes + Stats) - ChrrizzyHere’s what that indicator does—at a glance: ### Core idea It computes **7-day Historical Volatility (HV)** from **daily** log returns (annualized), then shows: * the **HV line** and its **30-day average**, * colored **volatility regimes** (Low / Normal / High / Extreme) with thresholds you set, * a compact **status panel** (top-right, nudged left) with current stats and time-in-zone. ### Calculations * **HV (7D)**: `stdev(log(close/close ), 7) * sqrt(365) * 100`, always from **daily data** via `request.security`, so it’s consistent on any chart timeframe. * **Regimes** (defaults): Low < 25% • Normal 25–50% • High 50–70% • Extreme > 70% (all editable). * **30-day avg**: SMA of HV. * **Time in zone (% over window)**: SMA of boolean flags (e.g., in Low=1 else 0) over `statsWin` days (default 300). * **Rolling median HV**: 50th percentile over `statsWin`. ### What you see on the chart * **HV line** (bold) + **30-day HV** (lighter). * **Horizontal dashed lines** at your regime thresholds. * **Background shading** that changes with the current regime (green/blue/orange/red). ### Panel (top-right) Shows: * BTC Price (daily close) * Current HV * 30-day Avg HV * Median HV (over window) * Current **Regime** * A two-line summary: **% of time spent** in Low / Normal / High / Extreme over the chosen window. The panel is shifted slightly left using a hidden spacer column; tweak the **“Panel right padding (chars)”** input to move it. ### Alerts (ready to use) * **HV crossed up Low** * **HV crossed down Low** * **HV crossed up High** * **HV crossed up Extreme** ### Inputs you can tune * `HV Lookback (days)` (default 7) * `Average HV (days)` (default 30) * Thresholds: Low/High/Extreme * `Stats Window (days)` (default 300) * Panel padding, toggle table/zones on/off. ### How to use it * **Context**: quickly see if BTC is in **compressed** (Low) or **stressed** (High/Extreme) volatility. * **Regime cross alerts**: get notified when volatility **expands** from Low (potential breakout conditions) or pushes into High/Extreme (risk increases). * **Stats/median**: compare today’s HV to its typical level over your lookback window. If you want, I can add an **HV percentile rank** (e.g., “Current HV is at the 38th percentile over 300d”) or mirror the **low-vol breakout signal** from Script A into this panel.
Chỉ báo Pine Script®
của chrrizzy
MTF - Zones Scanner⚡ MTF Zones Scanner - Smarter Multi-Timeframe Trading — Simplified. 💼 Ever wondered what tools Prop Desk Traders use? You’ve just landed in the right place. MTF Zones Scanner brings you the same level of structural clarity used in proprietary trading setups — combining multi-timeframe confluence and multiple reversal signal alignment in one elegant package. 📊 Spot market structure, zone strength, and breakout opportunities across multiple symbols — instantly. Built for traders who demand clarity, context, and confidence — without unnecessary complexity. 🌍 One Dashboard. All Signals. 🔁 Multi-Timeframe Zone Mapping — View higher-timeframe zones directly on your working chart. 🧭 Smart Symbol Groups — Seamlessly monitor all 500 Nifty stocks, organized for maximum scanning efficiency. ⚙️ Continuous Background Monitoring — Even while you focus on one chart, the script quietly tracks every stock for possible breakouts or breakdowns. 🧩 Dynamic Confluence Engine — Detects when short- and long-term structures align for stronger setups. 🧠 Intelligent Scoring Model — Each symbol is automatically ranked by structural strength, momentum, and probability. 🚨 Group-Based Alerts — One alert fires when any stock in your selected group triggers a high-confidence breakout. 🕹️ Key Benefits ✅ Monitors the entire Nifty 500 universe automatically — no chart-hopping required. ✅ Instantly highlights stocks nearing key demand or supply zones. ✅ Adds higher-timeframe confirmation for cleaner entries & exits. ✅ Optimized for intraday and swing trading. ✅ Fully visual, customizable, and resource-efficient. 🧭 At a Glance 🔹 On-chart Zone Overlays highlight actionable areas. 🔹 Real-time Ranking Table shows your strongest setups. 🔹 Clear status icons: 🟢 Potential Buy Zone 🟣 Potential Sell Zone ⚪ Consolidation Watch 🟡 Breakout Detected 🔔 Unified Alert System Forget juggling multiple alerts or scripts. Whenever any stock in your chosen group confirms a breakout or breakdown with a strong score, you’ll instantly get: TATASTEEL on 15 min → 🟢 Demand Breakout Detected You don’t need to set 500 alerts — just 34 simple group alerts to cover the entire Nifty 500 universe. The system handles everything else silently in the background. Fully compatible with TradingView’s “Any alert() function call” — precise, real-time, and noise-free. 🧱 Built for Power Users 🕒 Works across all intraday & swing timeframes. ⚙️ Adjustable sensitivity, zone depth, and confluence strength. 🧩 Pre-loaded with the complete Nifty 500 list. 💻 Powered by Pine v6 for stable, efficient background scanning. 💡 Not from India? No Problem. The indicator can be customized to scan any set of stocks — from any country or market worldwide. Just get in touch with us, and we’ll build a custom version tailored to your needs. 💡 Who It’s For Sector & positional traders managing wide watchlists. Intraday traders looking for quick, high-confidence confirmations. Analysts seeking multi-timeframe confluence across diverse markets. ✨ Why It Stands Out 🧭 Context + Clarity + Consolidation Don’t react — anticipate. MTF Zones Scanner constantly interprets market structure so you can focus on decisive, high-probability setups across every stock you follow. A professional-grade, Prop-Desk-style multi-timeframe scanner that filters noise, reveals structure, and surfaces opportunities — automatically. 🛡️ Proprietary Technology Notice The analytical framework of MTF Zones Scanner is proprietary and confidential. It blends multiple quantitative and contextual models into a single actionable output — keeping your edge intact. 🎁 Get Connected for 1-Month Free Trial → Experience the power of real-time, all-market awareness. 🔗 Start Your Free Trial Today — and Trade Smarter Now.
Chỉ báo Pine Script®
của jellygill
Reveral Candles# Reversal Structure & Pinbar Fusion Engine — by Seal This indicator provides precise detection of market reversal structures by mathematically merging price candles to identify true pinbar-based reversal events. Instead of relying on visual candlestick patterns, this tool applies strict wick/body geometry, range validation, and multi-bar fusion logic to confirm genuine shifts in market control. ### Included Models • Single-bar Pinbars (strict 2/3 wick rule) • 2-bar Fusion Reversals  • Bullish / Bearish Engulfing (full reclaim of prior open)  • Piercing / Dark Cloud (mid-body reclaim logic) • 3-bar Fractal Reversal Pinbars  • “Left-Pivot-Right” structure  • Sweep + reclaim + dominant wick confirmation This approach highlights failed breakouts, liquidity sweeps, absorption, and reversal momentum, giving traders a cleaner view of price behavior around key turning points. Colors, labels and wick-ratio thresholds are user-configurable. Designed for traders who read market intent, not just candle shapes. --- ## Indicator Settings Overview ### Detection Modes • Strict Pinbar Detector • 2-Bar Fusion Reversal • 3-Bar Fractal Pinbar ### Geometry Rules • Wick ≥ selected fraction of total range (default 66%) • Opposite-side wick + body ≤ remaining fraction • Sweep of prior candle high/low required (2-bar logic) • Structural pivot required (3-bar fusion logic) ### Validation Filters • Minimum candle-range filter • True reclaim requirement (engulfing & piercing logic) • Avoids false signals during low-volatility noise ### Appearance • Bullish/Bearish colors selectable • Pinbar arrows & labels • Option to enable/disable each reversal type • Optimized for clarity across timeframes --- ## Recommended Use • Works on all assets & timeframes • Best in volatile environments • Ideal for price-action / SMC / liquidity traders • Complements OB / FVG / Supply-Demand frameworks --- ## Notes • Not lagging — structural logic, not smoothing • Pinbars verified by energy geometry, not visual guesswork • Multi-bar fusion removes noise and exposes true intent • Highlights traps, stop-hunts, reclaim shifts
Chỉ báo Pine Script®
của SealNg
Trend ExhaustionDEVELOPED BY A FORMER GOLDMAN SACHS TRADER Overview The Trend Exhaustion System measures how far a trend has progressed through its statistical life cycle and estimates the probability it will continue versus reverse. Unlike conventional momentum indicators, it applies survival-analysis techniques to quantify the remaining lifespan of an active trend — offering a probabilistic gauge of exhaustion rather than a visual guess. How it works From the moment a trend begins, the system tracks its age, median historical duration, quartile position, and current survival probability. These metrics are updated dynamically each bar to show whether the trend is still in its statistically healthy phase or approaching exhaustion. By analysing thousands of historical trend samples, the model builds a probability curve showing how likely similar moves were to persist at each age. This transforms trend following from a binary decision into a probabilistic framework — allowing conviction and sizing to decay gradually as a move matures. Use Cases Exposure Management: Reduce position size as trends approach their historical median life Reversal Anticipation: Identify zones where the probability of continuation has dropped sharply before price reversal occurs Signal Combination: Pair with the Combined Forecast System — e.g., high forecast strength + young trend = high conviction; aged trend + decaying survival = reduced sizing Risk Control: Integrate with trailing-stop or scaling logic in systematic portfolios to manage exit timing objectively Interpretation Example Example Output: Short trend, age 28 bars, survival probability 22% Meaning: The short move is statistically late-stage; continuation odds are low — consider scaling out, tightening stops, or preparing for a reversal "Quantifies how much life is left in a trend — transforming intuition into measurable probability."
Chỉ báo Pine Script®
của HDAlgos
Swing Point BulbThe Swing Point Bulb indicator identifies key swing reversal points in price movement by using a two-tier adaptive wave algorithm. It marks areas on the chart where market momentum has likely reached exhaustion (overbought or oversold conditions), signaling potential trend reversals or continuation pivots. The tool automatically plots color-coded bulbs at critical swing highs and lows: 🟡 Minor Bulbs – short-term swings or micro pullbacks 🔴 Major High Bulbs – potential tops, overbought or distribution zones 🟢 Major Low Bulbs – potential bottoms, oversold or accumulation zones This design allows traders to visualize market rhythm and turning points clearly without clutter or lag. How to Use Identify Swing Zones Watch for new bulbs forming at highs or lows — they mark potential reversal zones. Red bulbs → Watch for short or take-profit setups. Green bulbs → Watch for long or buy setups. Yellow bulbs → Confirm minor pullbacks within ongoing trends. Confirm with Market Context Use these bulbs together with volume, RSI, or structure breaks to confirm momentum exhaustion. Stronger reactions occur when major bulbs align with key support or resistance areas. Trading Approach Enter in the direction of the reversal bulb only after confirmation from price action. Manage risk below/above the most recent opposite bulb. Combine higher-timeframe major bulbs with lower-timeframe minor bulbs for best results.
Chỉ báo Pine Script®
của shubhampk1000
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