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Squeeze Bollinger Bands Tracker [MarkitTick]💡 This institutional-grade analysis suite provides a sophisticated volatility-tracking environment designed to identify market compression phases and high-conviction breakouts. By integrating Bollinger Band standard deviation logic with Z-Score normalization and a non-linear sigmoid volatility engine, the script transforms raw price action into a multi-dimensional heatmap. This approach allows traders to distinguish between low-volatility "coiling" phases and institutional-driven momentum expansions, providing a clear visual representation of market energy. ● ✨ Originality and Utility The Squeeze Bollinger Bands Tracker distinguishes itself through the implementation of a proprietary "Signal Engine" and a non-linear volatility grading system. Unlike standard Bollinger Band indicators that merely plot static lines, this tool actively monitors the rate of change in channel width relative to its own historical standard deviation. • Dynamic Volatility Normalization Most indicators rely on linear calculations that fail to account for the exponential nature of market expansion. This script utilizes a Z-Score calculation to determine how extreme a volatility move is compared to its history, then maps that value through a sigmoid function. This creates a "Heatmap" effect on the candles that reflects institutional participation levels rather than simple price movement. • Institutional Breakout Grading The utility is further enhanced by an automated grading system (Grades A, B, and C). By cross-referencing price spread (the distance between open and close) with actual volume metrics during a breakout, the script provides an objective measure of signal quality, helping traders filter out "fakeouts" that lack volume support. ● 🔬 Methodology and Concepts The logic flow is divided into three core analytical pillars: Compression Detection, Momentum Normalization, and Signal Verification. • Compression Detection (The Squeeze) The script calculates the percentage-based width of the Bollinger Bands. When the current width falls below its SMA-based average, the market is classified as being in a "Squeeze" state. This signifies a period where market energy is being stored, often preceding a significant directional expansion. • Sigmoid-Mapped Z-Score Volatility To provide the neon heatmap coloring, the script calculates the Z-Score of the channel width. This tells us how many standard deviations the current volatility is from the mean. This Z-Score is then processed through a Sigmoid Function: 100 / (1 + exp(-Z-Score)). This mathematical transformation squashes the infinite Z-Score range into a 0–100 scale, creating a smooth gradient for the "True Institutional Heatmap." • Breakout Validation Engine Signals are not generated simply on a price cross. The Signal Engine (a custom User-Defined Type) calculates real-time Entry, Stop Loss (based on the previous basis line), and Take Profit levels. During the moment of crossover, the "calcGrade" method evaluates if the current bar's spread and volume are at least 150% of their historical averages to assign a Grade A "Institutional" breakout. ● 🎨 Visual Guide The visual interface is designed with a high-contrast "3D Neon" aesthetic to ensure critical data points are immediately recognizable during fast-moving market conditions. • The 3D Neon Channels Upper Core & Glow: The upper Bollinger Band is rendered in Cyan (#00FFFF). It features three layers: a 2-pixel core for precision and two wider "Glow" layers with varying transparency (60% and 85%) to create a neon effect. Lower Core & Glow: The lower band is rendered in Magenta (#FF00FF), following the same three-layer glow architecture to signify the support boundary. Basis Core: The central moving average is rendered in Yellow (#FFFF00), acting as the dynamic mean and the primary stop-loss anchor. • True Institutional Heatmap Candles The candle colors are not fixed; they represent a gradient based on the Sigmoid Volatility score. Bullish State: Transitions from a deep "Cold" Forest Green (#004D40) during low-volatility rises to a "Hot" Neon Green (#00FF00) during high-momentum surges. Bearish State: Transitions from a deep "Cold" Purple (#4A148C) during low-volatility drops to a "Hot" Neon Red (#FF0000) during aggressive sell-offs. Neutral State: Gray (#808080) candles appear when no definitive trend state is identified by the Signal Engine. • Analytical Dashboard and Labels Buy/Sell Labels: When a breakout occurs, a Cyan or Magenta label appears. It displays the signal Grade (A, B, or C) and the calculated E (Entry), TP (Take Profit), and SL (Stop Loss) values. Institutional Analytics Dashboard: Located in the top-right, this table provides real-time data on Trend Maturity (in bars), Volatility State (Squeeze vs. Expanding), and the percentage proximity to the upper and lower breakout levels. ● 🔍 Deconstruction of the Underlying Scientific and Academic Framework The indicator is built upon the foundation of Statistical Process Control and Information Theory. By treating price movement as a signal-to-noise problem, the script uses the following frameworks: • Standard Deviation and Gaussian Distribution The core of the Bollinger Band calculation relies on the assumption that price spends approximately 95% of its time within two standard deviations of the mean. The "Squeeze" logic identifies periods where the distribution is abnormally tight, suggesting an imminent return to the mean or a "Fat Tail" event (a breakout). • Z-Score Normalization In statistics, the Z-Score is used to compare observations from different data sets or time periods. By applying Z-Score logic to the width of the bands, the indicator removes the "unit" of price and focuses purely on the intensity of the volatility, allowing for a standardized comparison across different assets (e.g., Bitcoin vs. Apple). • Non-Linear Sigmoid Mapping The use of the Sigmoid function (common in Neural Network activation) serves to eliminate outliers in volatility data. This ensures that the candle heatmap provides meaningful color variations even during extreme "Black Swan" events, preventing the visual output from becoming saturated or unreadable. ● 📖 How to Use Traders should focus on the transition between market states as displayed by the Analytics Dashboard and the Heatmap. • Step 1: Identify the Squeeze Monitor the "Volatility State" in the dashboard. When it displays "⚠️ SQUEEZE" in Neon Orange, the market is coiling. This is the preparation phase where no trades should be taken. • Step 2: Evaluate the Breakout Grade Wait for a "BUY" or "SELL" label to appear. Priority should be given to "Grade A" signals, as these indicate that both price spread and volume have significantly exceeded their 20-period averages, confirming institutional intent. • Step 3: Execution and Risk Management Upon a valid signal, the script provides an automated trade plan. The Stop Loss is set at the Basis (Yellow) line from the previous bar to allow for minor breathing room, while the Take Profit is projected at a 1:1 ratio relative to the width of the band at the time of entry. ● ⚙️ Inputs and Settings The script provides granular control over the analytical engine and the visual experience. • Channel Settings Channel Length: Controls the SMA window for the Bollinger Bands (Default: 20). Standard Deviation Multiplier: Adjusts the width of the neon boundaries (Default: 2.0). • Analytics Settings Squeeze/Z-Score Length: Determines the lookback period used to define what constitutes "average" volatility (Default: 50). Quality SMA Length: Defines the window for the Grade A/B/C volume and spread verification (Default: 20). • Color and Heatmap Settings Users can fully customize the Neon Upper/Lower colors, the Dashboard background transparency, and the specific "Cold" and "Hot" thresholds for the candle gradient engine to match their preferred dark or light chart theme. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
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oleh MarkitTick
Vytis_fx 5mins NQ scalping. Vytis_fx 5mins NQ Scalping is an advanced NAS100/NQ scalping framework designed for real-time intraday trading on lower timeframes. The indicator combines market structure, EMA trend analysis, liquidity sweeps, momentum confirmation, wick rejection logic, and volatility filters to identify high-probability BUY and SELL setups. Key features: * Automatic entry, stop loss, and take profit levels * Dynamic risk/reward visualization * EMA trend and momentum filtering * Liquidity sweep and reclaim detection * Multi-target TP1 / TP2 / TP3 management * Built-in performance statistics and win-rate tracking * Optimized for fast NAS100 scalping conditions The framework is focused on providing clean, professional, institutional-style setup visualization while improving trade quality, risk management, and execution consistency for active scalpers.
Penunjuk
oleh Ausvydas-Ash
1
Bolsacava Stats FunOntheRide Educational indicator created by Fun on the Ride / CryptoNews. This script was built as a learning exercise after watching a public video by Bolsacava, where several intraday ideas about the E-mini S&P 500 futures contract (ES1!) were discussed. The purpose of this publication is not to claim ownership of those ideas, impersonate Bolsacava, or present this as an official Bolsacava tool. It is an independent educational Pine Script project designed to show how recurring market claims can be translated into measurable statistics using 30-minute ES1! bars. The goal is simple: learn, test, and verify. Instead of assuming that a pattern works because it is often repeated, this tool checks how frequently it has actually occurred across recent historical sessions. What the indicator shows The script displays a compact on-chart table with the historical hit-rate of each pattern across three rolling windows: - 20 sessions: short-term behaviour - 60 sessions: medium-term context - 120 sessions: broader baseline This allows traders to compare whether a pattern is currently persistent, fading, or highly dependent on the selected sample size. Patterns audited The indicator tracks five ES1! intraday hypotheses: H1 — Range-bound open between 15:30 and 17:00 Madrid time H2 — Sell-off around the European close, from 17:00 to 18:00 H3 — Low-volatility window between 18:00 and 21:00 H4 — Volatility expansion between 20:00 and 21:00 H5 — Last-hour directional drift from 21:00 to 22:00 All times are referenced in Madrid local time. The calculations are based on bar timestamps and defined intraday windows. Optional filters The script can also recompute the statistics on a cleaner sample by excluding sessions affected by potentially anomalous events: - CPI release days - FOMC meeting days - Extreme sessions, defined by unusually large range or volume Comparing filtered and unfiltered results helps reveal whether a pattern is robust across normal sessions or mainly supported by outlier days. How to interpret it A higher percentage means that the pattern occurred more often within the selected rolling window. This indicator does not provide buy signals, sell signals, stop-loss levels, take-profit levels, or position sizing. It is not a trading strategy. It is a statistical screener designed to help traders test market narratives before using them as decision-making inputs. Important notes - Built for CME_MINI:ES1! on the 30-minute timeframe. - Results may not translate to other symbols, sessions, or timeframes. - The development sample covered approximately 600 historical sessions. - Hit-rates will change over time as new sessions enter the rolling windows. - Past frequency does not imply future reliability. Attribution note This is an independent educational project by Fun on the Ride / CryptoNews, inspired by a public Bolsacava video. It is not affiliated with, endorsed by, or officially published by Bolsacava. The aim is to learn Pine Script, practice statistical thinking, and explore how trading narratives can be tested with data. Disclaimer This script is for educational and statistical research purposes only. It is not financial advice, does not recommend any trade, and makes no claim of profitability. Open-source publication The code is open-source so that users can inspect the logic, verify the calculations, adapt the hypotheses, and suggest improvements.
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oleh FunOntheRide
QuantumPips Volume Pressure MapQuantumPips Volume Pressure Map is a custom volume-analysis tool built to help traders better understand the relationship between price movement, volume participation, and market pressure. Instead of displaying standard volume alone, the indicator applies a pressure-based model that evaluates how volume behaves inside each candle structure. This allows traders to identify potential accumulation, distribution, imbalance, and absorption conditions directly from price and volume interaction. The script is designed as a market context tool and works best alongside price action, structure analysis, support/resistance, liquidity zones, and trend analysis. Core Features Volume Pressure Histogram The main histogram dynamically colors volume bars based on: • Relative volume strength • Candle structure • Pressure direction • Market compression • Volume imbalance behavior This helps separate ordinary market activity from high-participation events where buyers or sellers may be more active. Smoothed Pressure Model The indicator estimates bullish and bearish pressure using: • Candle close position within the range • Wick behavior • Relative candle expansion • Volume weighting A smoothed pressure line is then calculated to help visualize directional pressure over time. Positive pressure suggests stronger bullish participation. Negative pressure suggests stronger bearish participation. This is a proxy model and does not use true bid/ask order flow or exchange-level delta data. Smart Money Concepts Logic Accumulation Detection Accumulation conditions are highlighted when: • Volume is elevated • Price is compressing or ranging • Pressure shifts bullish • Lower-wick activity suggests buying response These zones may indicate areas where market participation is increasing before expansion. Accumulation markers are displayed using diamond markers. Distribution Detection Distribution conditions are highlighted when: • Volume remains elevated • Market structure becomes compressed • Pressure shifts bearish • Upper-wick rejection increases These conditions may indicate weakening bullish participation or potential sell-side pressure. Distribution markers are also displayed using diamond markers. Volume Event Detection Bullish / Bearish Imbalance The script identifies directional volume imbalance when: • Volume is significantly above baseline • Candles close strongly near highs or lows • Directional conviction increases Bullish imbalance signals may suggest aggressive buying participation. Bearish imbalance signals may suggest aggressive selling participation. Absorption Detection Absorption signals attempt to identify situations where: • Volume increases heavily • Candle bodies remain relatively small • Large rejection wicks appear Bullish absorption focuses on strong lower-wick reactions. Bearish absorption focuses on strong upper-wick reactions. These conditions may highlight areas where liquidity is being absorbed despite strong participation. Dashboard Overview The dashboard provides a quick summary of current market conditions: Vol Ratio Shows current volume relative to the selected baseline average. Pressure Displays whether the smoothed pressure model currently favors bullish or bearish conditions. Regime Indicates whether the market is compressed or expanding. Signal Displays the currently active event condition. CVD Bias Compares cumulative pressure flow against its signal baseline. How To Use QuantumPips Volume Pressure Map is intended to help traders read participation and market behavior more clearly. It can be used to: • Confirm breakout participation • Identify possible accumulation or distribution zones • Detect strong imbalance candles • Spot potential absorption behavior • Filter weak or low-participation setups • Improve contextual trade analysis The indicator is not designed to generate guaranteed entry or exit signals. Best results are typically achieved when combined with: • Market structure • Trend analysis • Support and resistance • Session timing • Risk management • Multi-timeframe analysis
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oleh QuantumPipsio
RMA ATR BandsRMA ATR Bands is a directional volatility trend indicator built around a smoothed RMA baseline combined with asymmetric ATR expansion bands. Unlike traditional symmetric ATR envelopes, the indicator uses independent upper and lower ATR multipliers to create adaptive directional filtering and trend regime detection. This allows the system to respond differently to bullish and bearish volatility conditions while maintaining a smoother baseline structure through RMA smoothing. Bullish regime: • Price closes above the upper ATR expansion band Bearish regime: • Price closes below the lower ATR expansion band
Penunjuk
oleh SchizoQuant
11
Bex DRBex DR/IDR is a professional Defining Range (DR) and Initial Defining Range (IDR) indicator for session-based traders. Features: • Regular, After-hours, and Overnight DR/IDR sessions • Dynamic STD expansion levels • Automatic DR body break detection • Candle highlighting for breakout confirmation • Configurable session ranges and extensions • Optimized Pine Script v6 implementation • Built for futures, forex, indices, gold, and crypto traders The indicator helps identify: • Session ranges • Expansion targets • Breakout confirmations • Market structure shifts • Intraday liquidity movements Best suited for: • ICT / SMC traders • Futures traders • NY session traders • Scalpers and intraday traders
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oleh A-R-V
Higuchi Fractal Dimension [forexobroker]Higuchi Fractal Dimension estimates the fractal dimension D of the price curve in a bounded interval: D close to 1 means smooth and trending, D close to 2 means jagged and random. The simplified two-scale variant (k = 1 and k = 4) gives a fast, deterministic estimator suitable for live charts. 🔶 ALGORITHM 1. L(1) = average absolute single-bar move over the window: sum |close - close | / (N - 1). 2. L(4) = average absolute four-bar move, normalised by step count. 3. Dimension D = log(L(1) / L(4)) / log(4) + 1, clipped to . 4. Smooth regime when D <= threshold. 5. Direction comes from close vs trend SMA. 🔶 SIGNAL LOGIC - Buy: smooth regime AND close > SMA AND close crosses SMA up AND not already long AND cooldown elapsed AND barstate.isconfirmed. - Sell: smooth regime AND close < SMA AND close crosses SMA down. - Position-lock state machine. 🔶 INPUTS - Higuchi Window (default 60) - Trend SMA Length (default 20) - Smooth Threshold (default 1.65) - Cooldown Bars (default 4) - Visual: dashboard, glow, SMA toggle, buy / sell colors 🔶 ALERTS HFD Buy, HFD Sell, HFD Any Signal, HFD Smooth On, HFD Smooth Off, HFD Strong Trend, HFD Strong Chop, HFD SMA Cross Up, HFD Webhook JSON. 🔶 LIMITATIONS - Two-scale (k = 1, k = 4) approximation is faster but less accurate than the full Higuchi method (k = 1..k_max). - D depends on price scale, partly mitigated by ratio formulation; on extremely thin instruments the estimator can saturate. - Threshold 1.65 is calibrated to liquid majors / indices; faster instruments may need a lower threshold. - "Random walk" is theoretical D = 1.5; real charts often show D between 1.4 and 1.7 even in clearly trending sessions.
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oleh forexobroker
True Low High Swing Day Trading Scalping StructureRecommended use: keep Entry Price Mode on Confirmation Close and Confirm Signals Only On Closed Bars enabled for the most realistic non-repaint behavior. Pivot Price mode is included mainly for visual study. A professional 3-mode swing structure dashboard that tracks confirmed Low-High / High-Low reversals for Large Swing Trading, Medium Day Trading, and Small Scalping. Includes ATR zones, level quality, touch counts, sweep markers, breakout markers, alignment ribbon, live dashboard, and non-repaint confirmation logic. True Low-High Trading Dashboard This open-source indicator is designed to help traders read market structure through confirmed swing highs and confirmed swing lows across three different trading styles: 1. Large Swing Trading 2. Medium Day Trading 3. Small Scalping The goal of this tool is not to predict the future perfectly. The goal is to organize market structure visually so traders can quickly understand where the active swing levels are, which direction each mode is pointing, and whether price is reacting, sweeping, retesting, or breaking important levels. How It Works The indicator uses confirmed pivot highs and confirmed pivot lows. A confirmed pivot low creates a Long direction. A confirmed pivot high creates a Short direction. The script waits for the pivot to confirm before updating the direction and dashboard. This makes the default behavior more realistic because the signal does not pretend to know the swing before it is confirmed. The default Entry Price Mode is Confirmation Close. This means the dashboard calculates trade rotation from the candle close where the pivot becomes confirmed. This is more realistic than using the perfect swing price. The optional Pivot Price mode is available for visual study, but it is less realistic for live execution because the pivot price is only known after future bars confirm the swing. Main Features - 3 trading modes: Large, Medium, and Small - Confirmed Low-High / High-Low reversal logic - Non-repaint confirmation option - Live direction dashboard - Compact and full dashboard modes - ATR swing zones - Fresh / Tested / Weak / Broken level quality - Touch counter for active levels - Retest dots - Liquidity sweep markers - Breakout and breakdown markers - 3-mode confluence marker - Large + Medium bias background - Alignment ribbon - Original clean swing labels - Latest level tags - Screenshot mode for publishing clean chart ideas - Optional EMA trend filter - Optional JSON alerts How To Read It Large Swing Trading: This is the slowest mode and is best used for the main market structure. Medium Day Trading: This is the balanced mode and is useful for intraday directional rotation. Small Scalping: This is the fastest mode and can show early short-term reactions, but it can also produce more noise. Best Visual Conditions The strongest structure usually appears when: - Large and Medium agree - All 3 modes align - The active level is Fresh or Tested - Price sweeps a level and closes back inside - Price retests a zone without breaking it - The optional EMA filter agrees with direction Level Quality Fresh: The level has not been touched after creation. Tested: The level has been touched a small number of times and may still be useful. Weak: The level has been touched too many times and may be losing strength. Broken: Price has closed beyond the active zone. Important Notes This is an indicator and visual trade-tracking tool, not a guaranteed buy/sell system. It does not include real broker execution costs such as commission, spread, slippage, funding fees, liquidation risk, order delay, or partial fills. Use this tool for market structure, confluence, trade review, and directional awareness. Always combine it with your own risk management and market context. Recommended Default Settings Screenshot Mode: Clean Visual Display Mode: Latest Per Mode Dashboard Detail: Compact Entry Price Mode: Confirmation Close Confirm Signals Only On Closed Bars: On Show ATR Swing Zones: On Show Retest Dots: On Show Small Break Markers: Off Use EMA Trend Filter: Optional Open Source This script is published open source for traders who want a clean multi-style structure dashboard for swing trading, day trading, and scalping.
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oleh IlSeparatio369
Dynamic Time Warped Stochastic. Arc-Lenght Stochastic Oscillator𝐓𝐇𝐄 𝐀𝐑𝐂-𝐊𝐈𝐍𝐄𝐌𝐀𝐓𝐈𝐂 𝐎𝐒𝐂𝐈𝐋𝐋𝐀𝐓𝐎𝐑: 𝐁𝐞𝐲𝐨𝐧𝐝 𝐂𝐡𝐫𝐨𝐧𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐓𝐢𝐦𝐞OverviewFor decades, the standard approach to measuring market momentum has relied on a fatal flaw: chronological time. Traditional oscillators force a rigid, fixed lookback window onto an environment that is fundamentally non-linear. When volatility compresses, chronological indicators generate false signals from microscopic chop. When volatility expands, they lag.This tool abandons chronological time. Instead, it processes market structure through a topological lens, measuring the actual path traversed by price action rather than the arbitrary ticking of a clock. It is an exploration of market kinematics designed to filter out spurious noise and identify true regime shifts.Under the Hood: The Mechanics of Topological Data AnalysisThis is not a smoothed RSI or a standard stochastic oscillator. The underlying engine operates on principles derived from digital signal processing and econophysics.Time-Dilated Lookback: Instead of a fixed N-period lookback, the calculation matrix expands and contracts dynamically. It measures the geometric arc-length (ds) of the price vector. During tight, sideways consolidation, the window stretches to absorb the noise. During explosive expansion, the window shrinks, snapping to the current regime with near-zero lag.Kinematic Tokenization: The script analyzes the primary and secondary derivatives of price to understand the velocity and acceleration of the order flow, separating true institutional displacement from retail trap-moves.Advanced Signal Processing: To present this data cleanly, the raw kinematic output is passed through a multi-pole Gaussian filtration system and a non-linear bounding transform. This creates a hyper-responsive oscillator that maps purely between +1 and -1 remaining completely flat during untradeable chop and only oscillating when true structural momentum is present. How to Use This Tool This indicator does not predict the future. It categorizes the present.Regime Identification: Observe the boundaries. When the oscillator is pinned at the extremes, the market is in a dominant, unidirectional regime. Divergence against Time: Because the tool operates outside of chronological time, standard divergences (price making a higher high while the oscillator makes a lower high) carry significantly higher structural weight than those found on traditional indicators.Confluence: Use this as a confirming layer. It is designed to validate structural market shifts, identifying when a swept level or a break in market structure has the underlying mathematical velocity to sustain a new trend.DisclaimerThis script is published strictly for educational and analytical purposes. It is a mathematical exploration of market topology and signal processing. It does not constitute financial advice, nor does it guarantee profitable trades. Past performance of mathematical models does not guarantee future market behavior. Always use strict risk management.
Penunjuk
oleh mjrodriguezorlich69
8
Session Sweeps Pro | GainzAlgoWhat are Liquidity Sweeps? In modern algorithmic markets, price does not move randomly; it moves from one pocket of liquidity to the next. Liquidity Sweeps (also known as stop runs or "grabs" ) occur when price briefly breaches a well-defined technical level (like a swing high or low) to trigger the stop-loss orders resting there. Once this liquidity is "tapped," large institutional players often use these orders to fill their own counter-positions, leading to a sharp reversal . Identifying where these sweeps have occurred and where they are likely to occur next, is the cornerstone of institutional-grade supply and demand trading . Introducing: Session Sweeps by GainzAlgo This indicator is a premium technical suite designed to visualize the "gravity" of market liquidity. Unlike 90% of liquidity indicators that simply label old highs and lows, the Session Sweeps uses a probabilistic model to map out exactly where the "business" of the market is being conducted. It combines real-time sweep detection with a Cumulative Distribution Function (CDF) to provide a heads-up display (HUD) of the session's liquidity health. How It Works: The engine monitors price action for "breach and reclaim" signatures . Detection: When a pivot high or low is swept and price closes back within the previous range, the script identifies a confirmed sweep . Ghost S/R Zones: Upon detection, the script anchors a "Ghost Box" at the sweep level. These zones extend through the current session, acting as dynamic support and resistance levels that represent "already tapped" liquidity. Conflict Resolution: To keep your charts clean, the script includes a built-in "De-overlapping" logic . If multiple sweeps occur in the same tight price area, it prioritizes the most significant level , preventing visual clutter. The Liquidity Sweep CDF Profile The centerpiece of this indicator is the HUD Profile on the right margin. While standard Volume Profiles show you where volume was traded, our Sweep CDF shows you the distribution of liquidity grabs . Weighted Gravity: Every bar in the profile is weighted by the frequency of sweeps . A "thick" area in the profile indicates a price zone where the market has repeatedly reached for stops. Color-Coded Probability: The profile uses a manual RGB interpolation (shifting from Neon Cyan to Magenta). As the bars widen and change color, they represent the cumulative probability (0% to 100%) of the session's total liquidity being found at or below that price. Sweep POC (Point of Control): The yellow dashed line represents the Sweep POC , the specific price level with the highest density of liquidity sweeps in the current session. This is the market's true "Center of Gravity." Session Anchoring & Menu Inputs The indicator is built for the professional intraday and swing trader , offering full control over the data's scope: Session Period: Select between Daily, Weekly, or Monthly anchors. The CDF profile and S/R zones will automatically reset at the start of each new period, ensuring your data is fresh and relevant . Profile Resolution: Adjust the number of "Rows" to fine-tune the granularity of the CDF heatmap . Risk Threshold: Customize the sensitivity of the Sweep Risk Index (top right), which monitors volatility compression to warn you when a sweep is statistically imminent . How to Trade with Session Sweeps Mean Reversion: Watch for price to approach the Sweep POC during low-volatility periods. These often act as magnets where price stabilizes. Exhaustion Signals: Use the CDF percentages (85%, 70%, etc.). If price is trading at the 90% CDF level , it means the majority of the session's liquidity has already been "cleared" below. Pursuing further moves in that direction carries higher risk . S/R Flips: Use the Ghost S/R Boxes as high-probability entry/exit zones. A Bearish Sweep zone that was once resistance will often act as a "re-entry" point if price returns to test the liquidity remaining in that pocket. The Risk Index: Monitor the Sweep Risk % in the dashboard. When this index spikes ( Red ), be wary of placing stops at obvious swing points, as the "Stop Hunt" probability is at its peak.
Penunjuk
oleh GainzAlgo
167
_Neo Matrix__Neo Matrix_ is a market-state and structure reading system — built to make premium-style market structure tools freely accessible to the TradingView community. The main idea is simple: Core shows the market center. Wall shows the structural defense line. Trend Guide shows adaptive price boundaries. Stretch Zones show expansion and exhaustion areas. Dashboard summarizes the current state. Neo Matrix is intended as a visual framework for reading structure, pressure, expansion, and tactical context more clearly. The system combines several visual and contextual components: • Neo Core Neo Core acts as the central reference layer of the system, helping traders observe whether price is moving near, above, or below its main market center. • Neo Wall Neo Wall is a structural defense line designed to show the active market regime and the area where price structure is being defended. • Trend Guide Trend Guide is an adaptive boundary-based layer that helps visualize meaningful price displacement. Its upper and lower boundaries can be displayed to observe where price needs to move before the guide updates. www.tradingview.com • Stretch Zones Stretch Zones are expansion areas around the Core. They help identify when price is moving far away from its central structure and entering a stretched condition. www.tradingview.com • Candle Coloring Candle Coloring is a momentum-based visual layer that helps traders read short-term market tone directly on the candles. www.tradingview.com • State Dashboard State Dashboard is a compact panel that summarizes the current market state through three simple fields: REGIME — structural alignment between Wall and Trend Guide. FLOW — volume-flow-based pressure reading; neutral, bullish, bearish, or stronger pressure zones. WATCH — tactical watch state based on context and active setup areas. www.tradingview.com The market has its own Matrix. Neo helps you read it.
Penunjuk
oleh Reeduck
Concordance Execution Mandate [JOAT]Concordance Execution Mandate Introduction Concordance Execution Mandate is an open-source TradingView strategy that integrates the indicator concepts used throughout the JOAT Suite into one execution framework. It combines crossframe bias, auction location, stepped structure, momentum timing, absorption participation, and volatility gating before any trade is allowed. It also renders on-chart trade rails, stop placement, profit targets, and a dashboard summarizing the active execution state. The purpose of the strategy is not to optimize one narrow market condition. The purpose is to require multiple independent conditions to agree before a trade is taken. This reduces single-factor noise and creates a more realistic execution process than a strategy that relies on only one oscillator or one moving-average crossover. Core Concepts 1. Crossframe Regime Filter Higher-timeframe trend alignment establishes the directional permission layer. If the dominant bias is not aligned, the strategy remains filtered. 2. Auction Location Filter Price must also be in a constructive value location for longs or a defensive value location for shorts. This reduces cases where a trend is positive but price is poorly located relative to accepted value. 3. Structure and Momentum Gate The local stepped structure and momentum score must agree with the higher-level direction before a trade is permitted. 4. Absorption and Volatility Filter If an active absorption range exists, the strategy uses it as a participation filter. Volatility percentile and directional volatility behavior are also used to avoid unsuitable states. 5. ATR-Based Risk Management Stops are sized from ATR and, when enabled, can anchor to structural references. Targets are placed using configurable R multiples. Features Multi-layer trade permission: Crossframe, auction, structure, momentum, absorption, and volatility must align Confirmed-bar logic: Entry conditions are evaluated on confirmed bars ATR-based stop logic: Risk is normalized to current market conditions Two staged exits: TP1 and TP2 are placed automatically, with a third informational rail on-chart On-chart trade rails: Entry, stop, TP1, TP2, and TP3 are drawn directly on the chart Risk/reward fills: Visual fill between entry and stop or target levels Execution dashboard: Displays regime, permission, auction state, structure state, momentum, absorption, ATR percentile, position state, and active risk rail Realistic default properties: Uses commission, slippage, and percent-of-equity sizing Strategy Properties Used By Default Initial Capital: 100000 Commission Type: Percent Commission Value: 0.05 Slippage: 2 Pyramiding: 0 Position Size: 10% of equity Orders Processed On Close: Enabled How to Use This Strategy Step 1: Read the dashboard before evaluating the backtest. The strategy is built around permission states, not constant market participation. Step 2: Check whether the system is in Long Bias, Short Bias, or Mixed mode. Step 3: Observe whether the strategy is filtering trades because one of the major layers is missing, such as auction location or volatility suitability. Step 4: Use the on-chart rails to understand how the strategy is defining risk and reward at each entry. Strategy Limitations Like all strategies, results depend on market, timeframe, and input choices Higher-timeframe filters are intentionally delayed for non-repainting safety Multiple filters can reduce trade frequency substantially The strategy is designed as a robust execution framework, not as a guarantee of profitability Backtest results should be interpreted with realistic skepticism and proper context Originality Statement Concordance Execution Mandate is original in the way it integrates top-down bias, auction location, local structure, momentum timing, participation filtering, and volatility gating into one execution process with visible trade management rails. The script is published to show how multiple institutional-style context layers can be fused into a realistic open-source framework. Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice or a recommendation to trade any market. Backtest results are based on historical data and do not guarantee future performance. All trading involves risk, including the risk of loss. Use independent judgment and proper risk management. -Made with passion by jackofalltrades
Strategi
oleh officialjackofalltrades
Adaptive Flow II | AnonycryptousAdaptive Flow II | Anonycryptous Description & user manual Why this indicator is different Most trend-following indicators use a fixed moving average. A 50-period EMA moves at the same speed whether the market is trending hard or grinding sideways. It cannot distinguish between a clean directional move and noise. It gives the same weight to a volatile consolidation as it does to a strong impulse. The result is signals that arrive late in trends and fire repeatedly during chop. Adaptive Flow v2 works differently. At its core is a Kaufman Adaptive Moving Average — a moving average that measures the efficiency of price movement on every single bar and adjusts its own speed accordingly. When price is moving cleanly in one direction with low noise, the flow line accelerates toward price. When price is churning sideways with high volatility and no direction, the flow line nearly stops moving. It adapts. Automatically. Without requiring any manual intervention. V2 builds significantly on this foundation. It adds five configurable stop modes, full market structure detection through BOS and CHoCH events, three independent signal filters, dynamic extension bands, a session-anchored VWAP, and an expanded dashboard. The result is a complete adaptive trend and structure system — not just a trend indicator, but a context-aware trading framework. Important notice Adaptive Flow v2 generates signals based on technical indicator alignment. These signals are not financial advice. They do not predict the future. They do not guarantee profitability. All trading decisions are made entirely by the user. Always manage your own risk. Always apply your own judgment. 1. Overview Adaptive Flow v2 is an adaptive trend-following indicator built around a Kaufman Adaptive Moving Average with a configurable stop engine and full market structure detection. What it includes: - Kaufman Adaptive Moving Average rendered as a neon glow line with four stacked plot layers - Five stop modes: ATR Trailing, Supertrend, Chandelier, Donchian, and Volatility Pivot - Cloud fill between the flow line and the stop line, reflecting the current trend state - Dynamic extension bands above and below the flow line at configurable ATR distance - BOS and CHoCH structure detection with BOS confirmation filter - Pivot high and low target lines that change color when broken - EMA 200 macro trend filter with higher timeframe support - ADX filter for directional environment confirmation - Session filter to restrict signals to a configurable trading window - Signal cooldown to prevent repeated triggering - Session-anchored VWAP with daily and custom session modes - Bar coloring reflecting the current trend state - Three presets: default, fast, and smooth - Live dashboard with 13 data rows - Seven alert conditions 2. The flow line — Kaufman Adaptive Moving Average The flow line is the visual heart of Adaptive Flow. On every bar it calculates an Efficiency Ratio — a measure of how directionally efficient price movement is relative to total volatility over the lookback period. When the Efficiency Ratio is high — price is moving strongly in one direction with low noise — the flow line accelerates toward price. When the Efficiency Ratio is low — price is ranging with high volatility — the flow line nearly stops moving. This adaptive behavior means the flow line naturally stays close to price during strong trends and pulls away only during genuine transitions. It is not a lagging average that mechanically follows price at a fixed delay. It responds to market character. The flow line is rendered with four stacked plot layers — a sharp core at full opacity and three progressively wider, more transparent layers behind it — creating a neon glow effect that makes it visually distinct on any chart. The noise filter adds an additional gate: KAMA only advances when the price displacement exceeds ATR × threshold. This prevents the flow line from reacting to insignificant micro-movements during low-momentum conditions. Disable it for maximum responsiveness in strong trending environments. 3. Stop engine — five modes The stop engine calculates a dynamic stop level from the flow line. All five modes use the flow line as their reference point, not raw price. This means the stop inherits KAMA's adaptive smoothing before calculating any distance. When the flow line crosses the stop level, the trend flips and a signal fires. 3.1 ATR Trailing (default) The stop trails the flow line at a fixed ATR distance using a ratchet mechanism — it only moves in the direction of the trend and locks in the floor or ceiling. This produces the characteristic smooth, flowing wave that follows the flow line closely. The cloud between the flow line and the stop gives a live view of the trend zone width. Default and recommended for most users. 3.2 Supertrend ATR band above or below the flow line with ratchet mechanism. Similar to ATR Trailing but calculated differently, producing a more angular step-like stop line. More angular appearance, fewer intermediate flips. 3.3 Chandelier The stop trails the highest or lowest flow line value over a configurable lookback window, then subtracts or adds ATR × multiplier. Exits when the flow line has sustained a reversal beyond the lookback range. Better for trending markets where you want to trail a historical extreme rather than the current level. 3.4 Donchian The stop follows the highest or lowest flow line value over a rolling window with no ATR component. Purely range-based. The stop level is exactly the rolling high or low of the flow line — clean, simple, no volatility scaling. 3.5 Volatility Pivot The stop anchors to the last confirmed pivot high or low of the flow line plus an ATR buffer. Structurally aware — the stop sits at a level where the flow line previously reversed, not at an arbitrary distance. Best for traders who want the stop to respect structure rather than trail at a fixed distance. 4. Extension bands When enabled, two bands are drawn above and below the flow line at ATR × multiplier distance. They are not stop levels — they are extension context. When price reaches the upper band during a bullish trend, it may indicate an overextended condition. When price compresses back toward the flow line after touching a band, it may indicate a pullback area. The bands move with the flow line and adapt to current volatility. 5. Market structure — BOS and CHoCH Adaptive Flow v2 includes a full market structure detection engine that runs alongside the adaptive trend engine. Pivot highs and lows are detected on price using configurable left and right bar lookbacks. When price closes beyond a confirmed swing level, the indicator classifies the event as either a Break of Structure or a Change of Character. A BOS fires when price closes beyond a swing level in the direction of the existing structural trend — confirming continuation. Drawn as a dashed line A CHoCH fires when price closes beyond a swing level against the existing structural trend — signaling a potential reversal. Drawn as a solid line. The BOS confirmation requirement prevents false reversals. When set to 1 (default), at least one BOS must confirm the current structural trend before a CHoCH can flip it. This blocks the common false reversal where a sharp pullback briefly closes beyond a swing level before the trend reasserts. Pivot target lines are drawn automatically at the last confirmed pivot high and low. They extend to the right and change color when price closes through them. 6. Signal filters Three optional filters are available. All three can be combined. A signal only fires when all active filters agree. EMA 200 — always active as a macro filter. Bullish signals only fire above the EMA 200. Bearish signals only below. Set the EMA 200 timeframe to a higher timeframe (1H or 4H) when trading on lower timeframes — the native EMA 200 on a 1-minute chart only covers a few hours and provides no meaningful macro context. ADX filter — when enabled, signals only fire when ADX is at or above the configured threshold. Below this level the market is typically ranging and directional signals carry less weight. Default threshold of 20 removes the weakest trend environments. Session filter — when enabled, signals only fire during the configured trading window. Defined in HHMM-HHMM format using exchange timezone. Outside the window the flow line continues calculating but no new signals are generated. Signal cooldown — minimum bars between two signals in the same direction. Prevents repeated triggering during choppy conditions around the stop level. 7. VWAP The VWAP provides a volume-weighted price reference that resets at the start of each session. It represents the average price paid weighted by volume — a key reference for intraday value and institutional order flow. Daily mode resets every calendar day. Custom mode anchors to a specific session defined by start and end times in HHMM-HHMM format. Timezone selection ensures correct boundary alignment. 8. Presets Three preset configurations are available. Selecting a preset overrides the core KAMA calculation parameters. Default — balanced for swing trading on 4H and daily charts. Adaptive length 14 | Fast constant 2 | Slow constant 30 | Noise threshold 0.3. Fast — built for scalping on 1 to 15 minute charts. Adaptive length 6 | Fast constant 2 | Slow constant 15 | Noise threshold 0.15. Shorter lookback for faster momentum shift detection. Lower noise threshold preserves full adaptive speed. Smooth — designed for position trading on daily and weekly charts. Adaptive length 21 | Fast constant 3 | Slow constant 40 | Noise threshold 0.5. Extended lookback demands sustained momentum before accelerating. Aggressive noise filtering for high-conviction reads only. 9. Dashboard The dashboard displays the live state of all indicator components and updates on every bar. Rows displayed: - Adaptive Flow — indicator name with trend-colored header and current timeframe - Trend — current flow line direction: bullish or bearish - Stop Mode — active stop mode in use - Structure — current structural direction from BOS/CHoCH logic - EMA 200 — whether price is above or below the macro filter - VWAP — whether price is above or below session value - ADX — current ADX value with confirmation indicator - Session — whether the session filter is active and the current bar is inside the window - Noise Filter — whether the noise gate is active - Stop Distance — distance from current close to stop level in ATR multiples and as a percentage - Trend Bars — number of bars the current trend has been active - BOS Count — number of confirmed BOS events in the current structural direction - Signal — last signal fired: buy, sell, CHoCH, BOS, or none 10. Settings reference KAMA & Calculation - Price Source: input for the flow line calculation - Adaptive Length: efficiency ratio lookback period - Fast Constant: smoothing speed during trending conditions - Slow Constant: smoothing speed during ranging conditions - Enable Noise Filter: toggle the displacement gate - Noise Threshold: minimum ATR multiple required to advance the flow line - Preset: Default, Fast, or Smooth Stop Engine - Stop Mode: ATR Trailing, Supertrend, Chandelier, Donchian, or Volatility Pivot - ATR Length: volatility measurement period - ATR Multiplier: distance scaling for the stop level - Stop Lookback: rolling window for Chandelier and Donchian modes - Pivot Buffer: ATR buffer for Volatility Pivot mode Market Structure - Show BOS / CHoCH: toggle structure detection - Pivot Left / Right Bars: swing confirmation lookback - Max Structure Levels: maximum lines shown on chart - BOS Required Before CHoCH Flip: false reversal filter - Show Pivot Target Lines: toggle automatic target lines - Target Line Color and Width Signal Filters - EMA 200 Timeframe: leave empty for chart timeframe - Show EMA 200: toggle line and label visibility - EMA 200 Color - Enable ADX Filter: toggle directional environment gate - ADX Length and Threshold - Enable Session Filter: toggle session-based signal restriction - Session Window: HHMM-HHMM format - Signal Cooldown: bars between signals VWAP - Session: Daily or Custom - Timezone: UTC, Exchange, or major financial center timezone - Session Window: for Custom mode - Show VWAP: toggle line and label - VWAP Color Visuals - Bull Color and Bear Color - Cloud Transparency: fill between flow line and stop - Show Extension Bands: toggle ATR extension bands - Extension Band Multiplier: distance from flow line - Show Reversal Signals: toggle triangle markers - Color Candles: toggle bar coloring - Candle Transparency Dashboard - Show Dashboard - Size: Tiny, Small, or Normal - Position: Top Left, Top Right, Bottom Left, or Bottom Right 11. How to use 11.1 Initial setup Select a preset matching your primary trading style. Set the EMA 200 timeframe to a higher timeframe when trading on lower timeframes — 60 for 1H, 240 for 4H. Set the VWAP to Daily or configure a custom session matching your primary market. Choose a stop mode — ATR Trailing is the default and works well across all timeframes. Enable the session filter and ADX filter if you want stricter signal conditions. 11.2 Reading the chart The flow line and its glow indicate the current adaptive trend. Green indicates a bullish environment. Red indicates a bearish environment. The cloud between the flow line and the stop shows the trend zone width — a wide cloud indicates strong momentum, a narrowing cloud indicates the flow line is slowing. The stop line is where the trend flips. A reversal signal fires when the flow line crosses it. Triangle markers appear at the stop line at the signal bar. Extension bands show how far price has moved from adaptive value. Price at the upper band in a bullish trend may indicate overextension. Price returning toward the flow line after touching a band may offer a pullback reference. BOS and CHoCH lines show structural context. Use them to understand whether the trend is in a confirmation phase (BOS firing repeatedly) or approaching a potential reversal (flow line slowing while price approaches a structural level). 11.3 Timeframe guide 1 to 5 minutes — Fast preset. EMA 200 timeframe set to 60 or 240. Session filter recommended. 15 to 30 minutes — Fast or Default preset. EMA 200 timeframe 240 or D. 1 hour to 4 hours — Default preset. Native EMA 200 or D timeframe. Daily and above — Smooth preset. Native EMA 200. 11.4 Stop mode selection guide ATR Trailing — best for most situations. Smooth, flowing, closely follows the flow line. Supertrend — fewer flips, more angular. Good for lower timeframe noise reduction. Chandelier — suited for trending markets where you want to trail a recent high or low. Donchian — clean range-based stop with no ATR influence. Simple and transparent. Volatility Pivot — best when you want the stop at a structurally meaningful KAMA level. 11.5 Context Adaptive Flow v2 identifies adaptive trend direction and market structure. It does not filter by fundamental events, news, or macro calendar. A bullish signal during a risk-off macro event may fail more often than one in a clear trending environment. Always apply your own context and judgment alongside the indicator output. 12. Alerts Seven alert conditions are available: - Bull Trend: flow line crosses above the stop level, EMA 200 above, all active filters passed. - Bear Trend: flow line crosses below the stop level, EMA 200 below, all active filters passed. - Any Trend Change: fires on either bull or bear trend signal. - Bull CHoCH: market structure flips to bullish via Change of Character. - Bear CHoCH: market structure flips to bearish via Change of Character. - Bull BOS: bullish Break of Structure confirms trend continuation. - Bear BOS: bearish Break of Structure confirms trend continuation. All alerts include exchange, ticker, and interval in the message. 13. Disclaimer This indicator is provided for educational and informational purposes only. All outputs are based on historical price action calculations and do not guarantee future results. Trading financial instruments involves significant risk of loss. Past performance does not indicate future results. Use at your own discretion.
Penunjuk
oleh Anonycryptous
10
Session Breakout ATR LevelsThis script is an institutional-style intraday trading framework designed primarily for NQ/MNQ futures trading. It combines a New York session anchor price, ATR-based expansion levels, London session high and low liquidity zones, EMA trend filters, and a smooth session trendline to create a complete market structure map for the trading day. The script uses the 6:00 PM New York open as the session baseline and projects volatility levels above and below it using ATR calculations, which act as breakout triggers, targets, and exhaustion zones. It also tracks the London session range to identify important liquidity pools and breakout areas that often influence New York price action. The custom session trendline provides a visual representation of overall directional bias and momentum throughout the session, while the EMAs help confirm trend alignment and momentum continuation. In strategy mode, the script converts these levels into rule-based trade entries and exits, allowing traders to backtest breakout and momentum setups using ATR targets, London range breaks, and EMA confirmation. Overall, the system is built to help identify high-probability trend and volatility expansion moves during active market sessions while filtering out weaker or choppy conditions.
Penunjuk
oleh sibelaydemir
Strategy Sensitivity MatrixThe Strategy Sensitivity Matrix is an institutional-grade backtesting tool designed to evaluate the robustness and parameter sensitivity of trend-following strategies. It enables users to compare the historical performance of a broad range of parameter combinations across multiple metrics to assess the overall stability of the selected strategy. The model displays the complete backtest landscape in a structured, color-coded matrix that allows investors to quickly identify robust parameter regions and evaluate historical performance stability across parameter combinations. At its core, the matrix systematically evaluates a wide range of parameter combinations, where every individual cell represents the backtest result for one unique parameter configuration. Users can switch between volatility-based strategies and moving-average strategies. In volatility mode, the matrix rows represent volatility lengths and the matrix columns represent volatility factors. In crossover mode, the rows represent fast moving-average lengths and the columns represent slow moving-average lengths. Supported volatility types include the Average True Range (ATR), Standard Deviation (SD), and Mean Absolute Deviation (MAD). Supported moving-average types include the Exponential Moving Average (EMA), Simple Moving Average (SMA), Wilder’s Moving Average (RMA), and Weighted Moving Average (WMA). Supported display metrics include: CAGR = Compounded Annual Growth Rate. Sharpe = CAGR per unit of standard deviation. Sortino = CAGR per unit of downside deviation. Martin = CAGR relative to the Ulcer Index (UI). Calmar = CAGR relative to maximum drawdown. Max DD = Largest peak-to-trough decline in value. Alpha (α) = Excess annualized risk-adjusted returns. Expectancy = Average expected return per trade. Profit Factor = Total gross profit per unit of losses. Win Rate = Ratio of profitable trades to total trades. Trades/Year = Average number of trades per year. The matrix follows an intuitive percentile-based coloring framework that dynamically compares the relative performance and stability of all parameter combinations. Stronger values above or equal to the matrix median are highlighted in green, with bright green representing the top 10% of all parameter combinations. Weaker values below the matrix median are highlighted in orange, while red represents objectively weak performance based on the selected metric. Broad clusters of consistently strong results generally suggest lower parameter sensitivity and potentially greater robustness, while isolated peaks generally suggest elevated parameter sensitivity. The summary table displayed above the matrix provides a broader distribution-level statistical overview of results across all parameter combinations. This structure allows investors to evaluate whether strong historical performance appears statistically widespread or narrowly concentrated across the parameter landscape. Stable parameter landscapes generally exhibit lower standard deviation, similar median and average values, and smaller performance gaps between the best and top 10% parameter combinations. The summary table includes the following sections: Start = Start month and year of the selected backtest period. End = End month and year of the selected backtest period. Metric = Performance metric currently displayed in the matrix. B&H = Buy-and-hold performance for the selected metric. Best = Best-performing parameter combination in the matrix. Top 10% = Average value of the top 10% parameter combinations. Median = Median value across all parameter combinations. Average = Average value across all parameter combinations. Std Dev = Standard deviation of all parameter combinations. ≥ B&H = Percentage of combinations equal or better than B&H. In summary, the Strategy Sensitivity Matrix is a powerful robustness analysis tool designed to help investors make data-driven decisions when evaluating parameter combinations across trend-following strategies. By evaluating the full parameter landscape, investors can quickly determine whether strong historical performance appears broadly distributed across stable parameter regions or narrowly concentrated within isolated parameter combinations. While historical robustness can provide valuable insight into past market behavior over the selected backtest period, users should remain mindful that market structures evolve over time and that historically stable parameter regions may not necessarily persist in future market conditions.
Penunjuk
oleh QuantitativeAlpha
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Strategi
oleh galaxy14012
Community MoneyLineOverview The Community MoneyLine is a advanced volatility-based trend-following indicator, refined for precision entries and exits. It is designed to capture macro market shifts while providing tools to mitigate the "sideways meat grinder." This version features built-in smoothing and optional filters to help traders avoid false signals during low-volatility periods. How it Works The core engine uses a modified trailing-stop mechanism that generates a unique "Staircase Support/Resistance." In an Uptrend (Bullish): The green support line only moves UP with the price, locking in profits. It will never move down until the trend officially flips. In a Downtrend (Bearish): The red resistance line only moves DOWN, tracking the descent. It will never move up until momentum shifts back. The indicator is designed to wait for a decisive price action (such as a low touching the line in a bullish trend) before triggering a "Flip." Key Features "Clean Break" Signals: To maintain visual clarity, the script features a gap between trend shifts. This removes confusing vertical connecting lines and highlights the exact moment a pivot occurs. Heikin Ashi Price Smoothing: The script internally utilizes Heikin Ashi candle calculations for its trailing-stop logic. This significantly reduces whipsaws caused by single-candle wicks or "fake" price spikes, ensuring you stick with the dominant trend longer. Pinpointed Labeling: "Bullish" and "Bearish" labels are pinned precisely to the MoneyLine itself rather than floating above the candles, ensuring constant visibility and a clean chart. Momentum Filter (Noise Reduction): Features an EMA-based filter that requires price confirmation relative to a medium-term moving average before a trend flip is confirmed. This is designed specifically for range-bound or "choppy" market phases. Settings Explained (Current Defaults) ATR Sensitivity (Current: 7): Controls the lookback period for the Average True Range. A value of 7 provides a balance between rapid reaction and stability. Trend Depth (Current: 3.5): This is the multiplier for the ATR. A 3.5 depth pushes the line further from the price action, capturing larger macro moves while avoiding premature stop-outs during normal volatility. Use Heikin Ashi Smoothing: Use HA candles internally to smooth the trailing stop calculation. Label Offset (Current: 0.6): Customizes the vertical gap between the signal text and the MoneyLine (higher values push the labels further away). Enable Momentum Filter: If enabled, the system requires an additional confirmation before flipping to Bullish (must be > EMA) or Bearish (must be < EMA). Enable this to filter range chop.
Penunjuk
oleh rafstar_kaczmarek
3
Strategy_470 - NY Open 3H Sweep ContinuationStrategy_470 is an intraday opening-session strategy designed to identify liquidity sweeps around the New York open and trade the potential continuation move that follows. The model uses the previous 3-hour candle as the reference range. During the New York trading window, the strategy watches for price to sweep either the previous 3H high or low. After that sweep, it waits for a confirmation move through a recent swing level before entering. For long setups, price must sweep below the previous 3H low and then reclaim strength by breaking above a recent swing high. For short setups, price must sweep above the previous 3H high and then confirm weakness by breaking below a recent swing low. The strategy includes a fixed risk structure: Stop loss is placed beyond the sweep extreme. Take profit is placed at the opposite side of the previous 3H range. Optional break-even management is triggered once price reaches +1R. The model can be limited to one trade per day. Longs and shorts can be enabled or disabled independently. This strategy is intended to study the behavior of index markets around the New York open, especially instruments such as QQQ, NASDAQ futures, NQ, MNQ, NAS100 or similar products. It is not based on indicators. The logic focuses on time, liquidity, range structure and price reaction after a sweep. Core concept: Liquidity sweep → confirmation break → continuation toward the opposite side of the 3H range. Recommended use: 5-minute chart, New York session, with session settings adjusted depending on the instrument. For QQQ, regular session testing may work better with a 09:30–10:30 New York window. For futures, 09:00–10:30 New York can be tested. This script is for research, education and backtesting purposes. It should not be considered financial advice.
Strategi
oleh Fran_Pineda
Precision Progressive ORB# Precision Progressive ORB (PORB) A different approach to the Opening Range Breakout: instead of waiting for the full ORB window to complete before drawing anything, PORB builds the range progressively using smaller sub-boxes that develop live during the auction. You can watch the opening range form in real time rather than staring at empty space until the ORB completes. > 🖼️ ** ** > *Above: a 45-minute ORB built progressively from nine 5-minute sub-boxes. Each sub-box shows where price was leaning during its window — red borders for holding low, green for holding high, white for neutral rotation. The dotted line is the live midpoint tracking the running aggregate. The status table on the right tracks state and classification in real time.* --- ## The problem this solves A standard 15-minute ORB script draws nothing until 15 minutes have passed. On fast-moving small caps, the trade is often half over by the time the box appears. PORB shows you what's happening *inside* those 15 minutes by breaking them into smaller development windows — for example, three 5-minute sub-boxes that build the full ORB. You see the opening auction develop in stages instead of all at once. --- ## Quick setup Default settings work out of the box for US stocks: - **Timezone:** Exchange (auto-detects from the symbol) - **Start time:** 9:30 (matches NYSE/NASDAQ market open via the Exchange timezone) - **ORB duration:** 15 minutes - **Sub-box duration:** 5 minutes (three sub-boxes per ORB) **Important about timezone:** the Hour and Minute inputs are interpreted in the selected Timezone. With the default "Exchange" setting, 9:30 means 9:30 AM in the symbol's home exchange — Eastern Time for NASDAQ/NYSE, Central European Time for DAX, JST for Nikkei, etc. If you want to anchor to a non-native session (trading EUR/USD on the London FX open from a US chart, for example), pick a specific timezone from the dropdown — DST is handled automatically. If you pick a sub-box duration that doesn't divide the ORB evenly (e.g., 15 / 7), PORB auto-snaps to the nearest valid divisor and shows a one-time notice. --- ## How it works During the ORB window: - Sub-boxes draw live, one at a time - Two display modes: **Rolling** (only the current sub-box visible) or **Show All** (every sub-box stays visible through completion) - Internally, PORB tracks the aggregate high/low across the entire ORB window — that's the real range being built When the ORB completes: - All sub-boxes sweep away (development is done) - The final aggregate high/low locks in - A bordered final box anchors the locked structure to its origin time - High/low lines, midpoint, and optional buffer lines extend right for ongoing reference > 🖼️ ** ** > *Above: the same auction after the ORB locks. Sub-boxes are gone — the chart transitions from "watching the auction form" to "trading the resulting structure." The locked box, ORB high/low lines, and midpoint extend right as structural reference for the rest of the session.* --- ## Two display modes **Show All Sub-Boxes** (the hero image at the top) keeps every completed sub-box visible through the ORB window, so you can see the full development sequence as it builds. **Rolling Sub-Box Only** shows just the current developing sub-box — only one box visible at any time, moving forward as each new window begins. Less visual weight, more focus on the active auction phase. > 🖼️ ** ** > *Above: PORB in rolling mode. Only the currently developing sub-box is drawn — prior sub-boxes disappear as new ones begin. Cleaner look for traders who want minimal chart clutter while still watching the auction form live.* --- ## Visual language Two clean channels, two distinct concepts: **Sub-box border = position lean** - Silver — close in the middle third of the developing range - Green — close in the upper third (holding high) - Red — close in the lower third (holding low) **Sub-box fill = movement energy** Progressive green/red shading reflects the relative strength of each sub-box move. Fills stay light — atmospheric tint, not solid overlay — so candles and other indicators remain clearly readable. The fill thresholds adapt to the symbol's volatility regime so a sleepy Large cap doesn't need the same magnitude as a volatile small cap to show energy. **Final box** I'm using a cyan border with a faint neutral fill — a structural anchor for the locked range. The color can be changed based on your preferred canvas color. **Live midpoint** (optional, on by default): a dotted line tracking the running aggregate midpoint during build. Provisional by design — it shifts as the range develops. Replaced by the locked dashed midpoint when the ORB completes. --- ## Classification table A 4-column status table tracks live state: | State | Development | ORB High | ORB Low | |-------|-------------|----------|---------| The Development column shifts meaning by phase: - **During build:** range classification — `Forming`, `Inside`, `Expanding`, `Compressing`, or `Stable`. Compares the current sub-box's range to the prior sub-box's range, with a tolerance threshold to avoid flickering on small differences. - **After lock:** position classification — `Above Range`, `Upper Range`, `Mid Range`, `Lower Range`, or `Below Range`. Tells you where price sits relative to the locked structure, including whether it's broken out above or below. --- ## Buffer lines (optional, off by default) Toggleable dotted lines just outside the locked ORB high and low. Sized by ticks, ATR multiple, or percent — your choice. These give you a "you actually broke this, not just kissed it" reference for traders who want a visual cushion against wick-pokes and liquidity sweeps. --- ## What this is and isn't PORB is a structural visualization tool. It does not generate buy/sell signals, fire alerts, or recommend trades. It shows you the opening auction's development in a way that pure-completion ORB scripts can't, and gives you a clean structural reference once the range locks. How you use that information is up to you. Best suited for: - Active intraday traders working opening-range setups - Anyone watching fast-moving instruments where the first 5–15 minutes carry most of the move - Traders who want to see auction structure form rather than waiting for the result **Note on viewing:** sub-boxes draw live during the ORB build phase. If you load PORB onto a chart after the ORB has already completed for the day, you'll only see the final locked structure — sub-boxes are part of the live development view, not a historical replay. To see sub-boxes in action, watch the next ORB window form in real time, or set the start time to the upcoming session. --- Released open source under MPL 2.0.
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oleh MohaveTrader