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Wskaźnik Fraktal

CandelaCharts - First P.FVG Killzone📝 Overview The First P.FVG Killzone indicator automatically maps out user-defined trading sessions (Killzones) and highlights the First Presented Fair Value Gap (FVG) that forms within them. Based on ICT concepts, killzones are specific time windows where high probability setups often occur. The first FVG to form in these sessions can act as a crucial reference point for the market's direction. This tool helps traders visualize the session range, the first institutional imbalance, and historical sweep probabilities. 📦 Features Customizable Killzone Sessions (Asia, London, NY AM, NY Launch, NY PM, and Custom sessions) First Presented FVG Detection within each session Session Range Visualization (High, Low, and Mean lines with invalidation tracking) FVG Visibility Filters (All, Bullish, Bearish, None) Advanced FVG Styling (Midline, Borders, Labels, Extension Modes) Session Dividers and Timeframe Separators Historical Sweep Statistics (Probability of session High/Low sweeps) ⚙️ Settings General: Adjust global text size and visibility of the brand watermark. Imbalance Settings: Control the filtering, styling, and extension behavior (Fixed, Session End, Full) of the First P.FVG. History: Set the total number of historical sessions to display. Sessions (First to Eighth): Toggle visibility, set timeframes, and customize colors for each killzone. Styles: Customize the appearance of the session box, borders, labels, and extended High/Low/Mean lines. Statistics: Enable and configure historical probability tracking for session sweeps (Total Sweep vs. Session Overlap). Dividers: Manage the style, width, and color of vertical session dividers and timeframe separators. ⚡️ Showcase Killzone Sessions Visualizing the different killzones with their defined ranges. First Presented FVG Highlighting the first FVG that forms inside the session. Sweep Statistics Displaying the historical probability of the session high or low being swept. 📒 Usage The indicator is highly customizable, allowing you to use various session models and automatically detect the first Fair Value Gap (FVG) that forms within each defined session. How to use in trading The first Fair Value Gap of a specific session often sets the tone for subsequent price action. Price frequently gravitates towards and interacts with these initial imbalances later in the trading day. Because of this, the First Presented FVG can serve as a key intraday reference point, acting as strong dynamic support or resistance (S/R) levels. Traders can watch these extended FVG zones for high-probability continuation setups or potential reversal points when the price retraces back into them. Below are some common reference times you can use when setting up your sessions: ICT Killzones: Asia: 2000-0000 London: 0200-0500 NY AM: 0930-1100 NY Launch: 1200-1300 NY PM: 1330-1600 Classic Sessions: Sydney: 1700-0200 Tokyo: 1900-0400 London: 0300-1200 New York: 0800-1700 Harmonic Series: Origin: 0000-0300 Prime: 0300-0600 Ascent: 0600-0900 Apex: 0900-1200 Meridian: 1200-1500 Entropy: 1500-1800 Vector: 1800-2100 Convergence: 2100-0000 🚨 Alerts This script provides alert options for when a new First Presented FVG is formed in any of the configured Killzones. Bearish Signal A bearish signal is triggered when the first bearish P.FVG is formed within an active Killzone. Bullish Signal A bullish signal is triggered when the first bullish P.FVG is formed within an active Killzone. ⚠️ Disclaimer Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Wskaźnik Pine Script®
od CandelaCharts
PSOL 01 Donchian ChannelsPSOL 01 DC is a Trend Following strategy designed for VN30F1M (Vietnamese Stock Index Futures), built with Pine Script v5. 📌 Indicators used: Donchian Channel (20 periods) + SMA(200) trend filter (optional) 📐 Entry Rules: - Long: Close breaks above the upper band of Donchian Channel (20) → entry at next bar open - Short: Close breaks below the lower band of Donchian Channel (20) → entry at next bar open 🚪 Exit Rules: - Stop Loss: configurable points from entry (default 10 pts) - Take Profit: configurable points from entry (default 20 pts) — optional, can be disabled - Reverse: position flips automatically when the opposite breakout signal fires - End of Session: all positions closed at the first bar outside the session window ⏰ Time Filter: Built-in session filter to avoid ATO (8:45–9:00) and ATC (14:30–15:00) periods. Default session: 9:00 – 14:30. Start and end time are fully configurable via inputs. 🔧 Trend Filter (optional): SMA(200) slope filter — Long only when SMA is rising (Bull), Short only when SMA is falling (Bear). When disabled, the system runs as a continuous reversal engine: every Donchian breakout flips the position, with no time out of the market. 📍 Recommended for: VN30F1M intraday traders 🔗 Community: zalo.me
Strategia Pine Script®
od Khanhtq26
Gann Mass Pressure█ OVERVIEW The Gann Mass Pressure indicator projects a seasonal price forecast for the remainder of the calendar year. It averages historical closes from the same calendar date across multiple past decades to produce a composite trend line that extends forward from the current bar through December 31. The method was documented by Constance Brown in The 32nd Jewel: Gann Analysis, Part 2, Price and Time (Chapter VII, Section L), reproducing W.D. Gann's original six-term formula with lookback intervals of 10, 20, 30, 40, 60, and 80 years. █ HOW IT WORKS For each calendar date, the indicator: 1 — Identifies the month and day. 2 — Looks back to that same calendar date at each of the six configurable intervals (default: 10, 20, 30, 40, 60, and 80 years). 3 — Finds the closest matching trading day within a ±15-bar scan window to handle weekends, holidays, and calendar drift. 4 — Averages all available (non-na) closes into a single Mass Pressure value. On historical bars, this value is plotted as a colored line (gold when rising, blue when falling). On the last bar, the indicator generates a forward projection by computing Mass Pressure for every remaining weekday through December 31 and drawing it as a continuous line extending beyond the chart's current data. A label marks the final projected value at year-end. The info table in the top-right corner shows each lookback term's resolved value, the bar count required to reach it, and whether it is active, unavailable, or beyond Pine Script's history limit. A forecast row displays the number of projected data points. █ HOW TO USE The forward projection line is the primary output. It maps the dominant seasonal tendency for the rest of the year based on the composite behavior of the selected historical intervals. When the projection trends upward, historical precedent favors rising prices for that calendar period. When it trends downward, the seasonal composite points to weakness. Recommended timeframe: Weekly. On weekly charts, all six Gann lookback intervals (including the 60-year and 80-year terms) resolve within Pine Script's 10,000-bar history limit, giving you the complete formula as Gann intended. On daily charts, only the 10-year, 20-year, and 30-year terms will typically be available due to the bar limit. The indicator handles this gracefully and plots with whatever terms resolve, but fewer terms reduce the composite's reliability. Confluence with other timing methods: Brown notes that Mass Pressure maps seasonal trends under normal conditions and is not suited for precise timing. It is most powerful when used in confluence with independent timing methods (cycle analysis, planetary geometry, Gann time counts) to confirm or filter signals from those primary tools. Key inputs: • Lookback 1 through 6 : The six year intervals. Defaults match Gann's original formula (10, 20, 30, 40, 60, 80). Adjustable for experimentation. • Min valid terms to plot : The minimum number of non-na lookback values required before the indicator will plot. Default is 2. Increase to 3 or 4 for higher confidence from more contributing terms. • Smoothing : Optional SMA smoothing applied to the historical Mass Pressure line. Default is 1 (no smoothing). Increase to reduce noise on volatile instruments. • Forecast line color : Separate color for the forward projection (default: gold with slight transparency to distinguish it from the historical plot). • Colors and line width : Customizable rising/falling/flat colors and line thickness. █ LIMITATIONS Pine Script 10,000-bar history cap. Pine enforces a maximum of 10,000 bars for any history-referencing operator. At approximately 252 trading days per year on daily charts, this caps effective lookback depth at roughly 39 years. The 40-year term is borderline, and the 60-year and 80-year terms will return na on daily timeframes. Switching to weekly charts (52 bars/year) brings the 80-year lookback down to approximately 4,160 bars, well within the limit. Insufficient chart data. The indicator will not appear on charts where the symbol lacks enough historical price data to satisfy the minimum number of lookback terms. Newer instruments (ETFs, crypto, recent IPOs) may have less than 10 years of data, in which case no terms resolve and nothing plots. The background shades red when available terms fall below the configured minimum. The info table always shows exactly which terms are active and which are not. Calendar-date matching is approximate. The scan window of ±15 bars around the target offset matches the nearest available trading day when the exact calendar date falls on a weekend or holiday. In rare cases at the boundary of long market closures, the matched date could be slightly offset from the true anniversary. Forward projection uses weekday estimates. The forecast line generates dates for Monday through Friday via Zeller's congruence. It does not account for market-specific holidays (e.g., Thanksgiving, exchange closures), so the projected point count may slightly exceed the actual number of remaining trading days. Seasonal trend, not timing. As Brown notes, this indicator maps seasonal tendencies under normal conditions. It does not predict exact turning points. Divergences between Mass Pressure direction and actual price often occur around major non-seasonal events. The Time Factor and independent timing tools should always take precedence for entry/exit decisions. Brown also observes that for some instruments (Soybeans is cited), the indicator may display an inverse relationship to actual market trends. █ NOTES The formula and methodology are drawn directly from Constance Brown's The 32nd Jewel: Gann Analysis, Part 2, Price and Time (Chapter VII, Section L). Brown provides worked examples for DJIA and Cotton, documents the six default lookback intervals, and includes critical caveats about data sufficiency, seasonal-year offsets, and the distinction between seasonal trend indication and precise timing. The info table provides full transparency into the indicator's internal state. Red "OVER 10K" entries indicate that a lookback exceeds Pine's bar limit at the current timeframe. Red "n/a" entries indicate the chart does not have data going back that far. Green term counts confirm the indicator is computing with adequate data. The forecast row shows the number of forward-projected points through December 31. Background shading on historical bars provides an additional visual cue: a faint yellow tint indicates computation with fewer than all six terms, and a faint red tint indicates the term count has fallen below the configured minimum threshold. █ THANKS Constance Brown, for her meticulous documentation of Gann's methods in The 32nd Jewel . Her treatment of the Mass Pressure Chart, including its strengths, limitations, and the critical warning about data sufficiency, made this implementation possible.
Wskaźnik Pine Script®
od BY_Tse
MASL Market Structure Adaptive LensMASL (Market Structure Adaptive Lens) is a geometric market analysis framework designed to project market structure into a normalized coordinate system and measure underlying buyer/seller pressure through adaptive ratio geometry. Unlike traditional indicators that rely solely on lagging averages, MASL transforms price action into an isotropic geometric space and constructs dynamic triangular pressure fields across defined structural anchors. This allows the system to evaluate market behavior not just in terms of price movement, but in terms of relative structural imbalance and directional force. The core model generates a pressure metric (B) derived from the ratio between upper and lower geometric areas, representing seller dominance (positive values) and buyer dominance (negative values). This enables a continuous interpretation of market control rather than discrete signals. MASL also introduces a freeze–revival structural state mechanism, where the main market range locks during structural breaks and a secondary adaptive channel tracks expansion until equilibrium is restored. This models real-world liquidity expansion and contraction phases more accurately than static range systems. A visual triangle projection system maps multi-scale structural points (prime-based offsets) onto the chart, creating a “field-like” representation of market pressure distribution. ⚙️ Key Features Isotropic Coordinate System normalization (volatility-adjusted geometry) Geometric buyer/seller pressure model (B metric) Adaptive range freeze & revival structure Triangle-based market field projection Real-time structural imbalance visualization Multi-layer pressure barometer (0–100% split) 🎯 Concept MASL is not a signal generator — it is a market structure lens that visualizes hidden pressure dynamics inside price movement.
Wskaźnik Pine Script®
od onderarslantas107
JEETU RSI & LEVEL MATRIX MASTER PRO🚀 JEETU RSI & LEVEL MATRIX MASTER PRO JEETU RSI & LEVEL MATRIX MASTER PRO is an advanced intraday quantitative trading framework designed for high-precision structural execution. Built entirely in native Pine Script v6, this system synthesizes key architectural volatility zones, momentum confirmation filters, and volume-validated order-flow footprint anomalies into a singular, visual trading map. The indicator is optimized for active intraday traders focusing on heavy index derivatives (NIFTY, BANKNIFTY) and high-liquidity equities, delivering a clean, non-cluttered workspace by filtering out noisy price action. 🧠 KEY ARCHITECTURAL FEATURES 1. Multilayered Structural Volatility Zones The framework automatically tracks and locks three distinct high-probability liquidity pools, applying a customizable 10-point cushion/buffer channel around each to capture true price behavior: Yesterday's High/Low Zone (Neon Magenta / Neon Yellow): Tracks the prior session's extreme limits to identify major daily expansion or mean-reversion pivot boundaries. 11-Minute Opening Range Freeze (Neon Red / Neon Green): Captures the maximum high and minimum low established during the critical first 11 minutes of the session open. Once this window closes, the levels are completely locked flat, creating a definitive early morning structural profile for the rest of the day. 1-Min 150% Range Expansion Zone (Neon Aqua / Neon Orange): Instantly measures the absolute high-to-low range of the very first 1-minute candle of the session and projects a 150% expansion boundary from the open print to calculate key algorithmic targets. 2. Momentum State Filter (Strict Body Close Logic) To completely eliminate false breakouts, whipsaws, and trailing wick noise, the core momentum tracking relies on an absolute Strict Body Close Logic. Bullish Regime: Triggered only when the candle body closes completely above the upper threshold (Default: 52). Bearish Regime: Triggered only when the candle body closes completely below the lower threshold (Default: 46). Bars and chart backgrounds shift into high-visibility neon maps dynamically, filtering out temporary intraday wick spikes. 3. Volume-Confirmed Wick Rejection Signals The script tracks institutional order flow at structural levels by monitoring real-time exhaustion: Rejection Footprint: Triggers when a candle pierces or interacts with any of the pre-calculated support/resistance zones, leaving a prominent upper or lower tail that accounts for at least 50% of the candle's total range. Smart Money Validation: The rejection is only valid if the transaction volume exceeds its 20-period moving average, confirming active institutional defense of the zone. 4. Anti-Spam Cool Down Logic To prevent signal clustering, execution anxiety, or "flickering" during choppy sideways consolidation inside a buffer zone, the indicator utilizes a advanced tracking mechanism: Enforces a mandatory 10-bar cooldown filter after a rejection shape prints. Restricts consecutive identical signals, maintaining a balanced, clean alternating flow across key support and resistance structural points. 🎛️ HOW TO USE Zone Defense: Watch for price to approach the shaded Neon buffer zones. Look for the "X": When a Neon Red X (Resistance Rejection) or Neon Lime X (Support Rejection) prints on a confirmed bar close, it denotes high-volume institutional exhaustion. Trend Alignment: Cross-reference rejections with the prevailing background regime color (Green for Bullish / Magenta for Bearish) to ensure high-probability trend-following or precision counter-trend scalp execution. ⚠️ PUBLIC DISCLAIMER & RISK WARNING Financial Market Risk Warning: Trading futures, options, equities, and spot derivatives involves substantial risk of loss and is not suitable for every investor. The highly leveraged nature of derivatives can work against you as well as for you. Past performance, whether simulated, backtested, or based on historical tracking, is not indicative of future results. Educational and Informational Purpose Only: This script, its layout, signals, and underlying algorithms are provided strictly for educational, informational, and analytical research purposes. This script is not a standalone mechanical trading system and does not constitute personalized financial, investment, legal, or trading advice. No automated signal generated by this indicator should be interpreted as an explicit buy, sell, or hold recommendation. User Responsibility & Execution: The author assumes no liability or responsibility for financial losses, missed opportunities, or damages resulting directly or indirectly from the use, interpretation, or deployment of this open-source code. All trading decisions, risk parameter configurations, position sizing, and stop-loss placements are executed solely at the personal discretion and financial risk of the individual user. Always backtest thoroughly and practice responsible risk management on a demo platform before exposing capital to live market environments.
Wskaźnik Pine Script®
od jeetunse
Gemini Quant OS - Macro Rotation Dashboard Overview Gemini Quant OS — Macro Rotation is a macro market monitoring framework designed to help traders observe broad market conditions, capital rotation behavior, and intermarket relationships. This script is part of the broader Gemini Quant OS ecosystem. --- Core Concepts The framework focuses on macro-level market behavior rather than individual trade signals. The model monitors: capital rotation trend structure volatility conditions risk sentiment intermarket relationships macro directional bias The dashboard is designed to provide a broader overview of market conditions across different asset classes. --- Features Macro market dashboard Capital rotation monitoring Risk sentiment framework Multi-asset observation Trend condition analysis Intermarket structure monitoring --- Best Use Cases Best suited for: macro analysis portfolio observation intermarket monitoring directional bias analysis higher timeframe market structure review --- Notes This script is designed for educational and analytical purposes only. Not financial advice.
Wskaźnik Pine Script®
od Super_Trader_HK
MTF Bias DashboardMTF Bias Dashboard MTF Bias Dashboard is a multi-timeframe trend and confluence dashboard for traders who want fast directional context across liquid markets. It is designed to answer one question quickly: Is this symbol aligned enough to trade, or should I wait? The indicator combines 1m, 5m, 15m, 30m, 1H, 4H, and 1D trend data on the active chart symbol, so you can see whether a short-term move is likely part of the bigger trend, a pullback, or a lower-quality conflict. The Dashboard: Read It From Top To Bottom ACTION - This is the first cell to read. It gives the current bias state: NO TRADE, WAIT, LONG WATCH, SHORT WATCH, LONG ONLY, SHORT ONLY, LONG BIAS, or SHORT BIAS. WHY - Explains the main reason behind the action, such as H1/4H disagree, Low volatility, HTF risk, Strong bull confluence, or Bear regime only. TF Rows - These are diagnostics for each timeframe. Use them to see which timeframe agrees or disagrees. SESSION - Shows London, New York, London/New York overlap, Asia, or off-hours, plus the session multiplier. How To Decide If It Is A Good Time To Enter Start with ACTION . If ACTION says NO TRADE , do not enter. The dashboard is blocking the setup. If ACTION says WAIT , there is no clean edge yet. If ACTION says LONG WATCH or SHORT WATCH , the intraday regime is starting to lean one way, but confluence is not strong enough yet. If ACTION says LONG ONLY or SHORT ONLY , only look for your own setups in that direction. Do not chase immediately unless your execution plan confirms. If ACTION says LONG BIAS or SHORT BIAS , confluence is strong in that direction, but entries are still discretionary. Check WHY before entering. If it says H1/4H disagree, Low volatility, HTF risk, or No clean setup, the trade quality is weaker. Use the 5m, 15m, 30m, and 1H rows to confirm your entry chart agrees with the active intraday direction. Dashboard Terms SCORE - A confluence score from -100 to +100. Positive favors long bias. Negative favors short bias. H1+4H BULL - 1H and 4H are both bullish enough to prefer long setups. H1+4H BEAR - 1H and 4H are both bearish enough to prefer short setups. H1/4H CONFLICT - 1H and 4H disagree. In Aggressive and Balanced presets this is a context warning; in Conservative preset it blocks trades. HTF RISK - The active intraday direction is fighting 4H or 1D context. LIVE - Preview score from the currently forming candle. It can change before that timeframe closes. ATR / EMA - Shows volatility condition and whether that timeframe's EMA stack is bullish, bearish, or mixed. Chart Lines The indicator can plot local and higher-timeframe moving averages. These are visual context lines, not automatic entry signals. Local EMA 9 - Cyan. Fast current-chart momentum. Local EMA 21 - Yellow. Short-term pullback/momentum guide. Local EMA 50 - White. Current-chart trend guide. 1H EMA 50 - Orange. 1-hour dynamic support/resistance. 1H EMA 200 - Dark orange. Major 1-hour structure level. 4H EMA 50 - Magenta. 4-hour dynamic support/resistance. 4H EMA 200 - Purple. Major 4-hour structure level. Practical use: if the dashboard is bearish and price bounces into a level you care about, such as a fib zone or moving average area, the dashboard helps confirm whether the broader intraday context still supports short-only thinking. The same applies in reverse for bullish pullbacks. How The Trend Score Works Each timeframe is scored using: EMA stack alignment. EMA slope normalized by ATR. RSI regime and RSI direction. Price location versus the EMA band. VWAP location when available. Volatility quality using ATR versus its baseline. Bias Presets And Default Weighting Aggressive - Prioritizes 5m, 15m, 30m, and 1H. 4H is light context. Balanced - Default. Uses 15m, 30m, and 1H as the main intraday stack, with 4H as context. Conservative - Requires stronger 1H/4H agreement and gives 4H more influence. 1D - Shown as regime context only. It is not part of the confluence weight. Confirmed vs Live Preview The main ACTION, WHY, SCORE, and alerts use confirmed multi-timeframe values to reduce repainting. The LIVE column is only an early preview and can change before the candle closes. Session Weighting London, New York, and the London/New York overlap receive higher confidence. Asia and off-hours receive lower confidence because intraday conditions can be less reliable. Alerts Included Strong Long Bias Strong Short Bias HTF Conflict / No-Trade Warning Important Notes This is an indicator, not an automated strategy. Use it with your own risk management and execution rules. The dashboard shows multi-timeframe bias and context. It does not mark exact entries. The cleanest intraday setups usually come when 5m, 15m, 30m, and 1H agree, then price pulls back into a meaningful zone and stalls according to your own execution plan. 4H and 1D are context layers. In Aggressive and Balanced presets they warn about regime risk instead of automatically blocking every trade. For the cleanest alerts, keep "Alerts only on confirmed chart bars" enabled.
Wskaźnik Pine Script®
od igaudette
[GYTS-CE] Pattern Texture Codex (PTC)Pattern Texture Codex (Community Edition) 🌸 Part of GoemonYae Trading System (GYTS) 🌸 🌸 --------- INTRODUCTION --------- 🌸 💮 What is the Pattern Texture Codex? Standard technical analysis focuses on two dimensions: Amplitude (how far price moves) and Momentum (how fast price moves). The Pattern Texture Codex introduces a third: Structure (how price moves). This indicator implements Permutation Entropy (PE), a complexity measure from dynamical systems theory that captures whether price evolves in structured patterns or chaotic noise. We call this "Market Texture": 🫧 Smooth Texture (Low Entropy): Price evolves in ordered, predictable patterns. Trends are durable and causality is high. Momentum strategies favoured. 🌵 Rough Texture (High Entropy): Price evolves chaotically. The market is noisy, trends are fragile. Mean reversion or defensive sizing recommended. 💮 Why Use This Indicator? Most "entropy" indicators on TradingView fall into common traps: Shannon entropy of price histograms — measures value distribution but ignores temporal sequence Approximate Entropy (ApEn) — measures amplitude similarity with O(N²) computational cost Volatility metrics labelled "entropy" — captures magnitude, not pattern structure Mathematical errors — normalised values that don't form valid probability distributions The Pattern Texture Codex provides true ordinal pattern analysis — it examines the sequence of price movements, not just their distribution or magnitude. A smooth uptrend and choppy consolidation may have identical volatility, but their texture is completely different. ↑ Pattern Texture Codex with dynamic threshold bands. Rough Texture (high entropy) often indicates reversals, while Smooth Texture (low entropy) often precedes trend continuation. 🌸 --------- HOW IT WORKS --------- 🌸 💮 Core Concept: Ordinal Patterns Instead of analysing raw price values, Permutation Entropy converts price into ordinal patterns — the relative ordering of consecutive data points. For example, with embedding dimension D=3 (three points per pattern): Pattern "012": first < second < third → ascending Pattern "210": first > second > third → descending Pattern "102": middle value smallest → valley shape The indicator counts how often each pattern appears over a lookback window, then calculates the Shannon entropy of this distribution. ↑ With D=3, three consecutive data points determine each pattern. Left: ascending pattern "012" (first point smallest, second middle, third greatest). Right: descending pattern "210" (first point greatest, second middle, third smallest). 💮 Calculation Overview The normalised Permutation Entropy is computed as: H = −∑ p(π) · ln(p(π)) / ln(D!) Where: • p(π) is the probability of each ordinal pattern π • D is the embedding dimension (number of points per pattern) • D! is the total possible patterns (e.g., 4! = 24 for D=4) The result ranges from 0 to 1: • H → 0 : One pattern dominates — highly structured, predictable • H → 1 : All patterns equally likely — pure randomness ↑ Full calculation example at D=3 showing the lowest entropy point (green vertical line). With 3!=6 possible patterns, the monotonic rising pattern "012" dominates while three other patterns occur only once. The frequency column feeds into the entropy contribution formula, yielding H(3)=1.039. Normalising produces 0.4019 — matching the indicator output exactly. 💮 Theoretical Background Permutation Entropy has deep theoretical foundations. For piecewise monotone maps, it converges to the Kolmogorov-Sinai entropy — the fundamental measure of chaos in dynamical systems. Key scientific properties: • Scale invariance — analyses rank orderings, invariant to monotonic transformations • Noise robustness — ordinal encoding naturally filters high-frequency noise • Computational efficiency — O(1) amortised per bar with lookup acceleration • Micro-structure sensitivity — captures specific sequence patterns, not just distribution 🌸 --------- KEY FEATURES --------- 🌸 💮 Lookup Table Acceleration Standard PE requires sorting each embedding vector — O(D log D) operations per bar. This implementation uses precomputed transition tables from Unakafova & Keller (2013), reducing complexity to O(D) per bar. The key insight: successive ordinal patterns in overlapping windows share (D−1) data points. Rather than recomputing from scratch, the algorithm derives the new pattern from the previous one using a single table lookup. Enabled by default for Delay=1 and Dimension ∈ {3, 4, 5} Falls back to standard calculation for D=2, D=6 💮 Flexible Threshold Modes The indicator supports four independent threshold modes for both Smooth and Rough detection: Static — Fixed threshold values you define Dynamic — Adaptive bands based on entropy baseline ± standard deviation Percentile — Threshold at Nth percentile of recent entropy history Disabled — No threshold for that direction You can mix modes: for example, Dynamic for Smooth detection while using Percentile for Rough detection. 🌸 --------- CONFIGURATION --------- 🌸 💮 General Settings • Source — Price series to analyse (default: close) • Smoothing Critical Period — Smoothing via 2-pole Ultimate Smoother (default: 0 = disabled). Reveals underlying texture by filtering entropy noise. 💮 Entropy Calculation Dimension (D) — Points per ordinal pattern: • D=3: 6 patterns — fast, stable. Good for limited lookback. • D=4: 24 patterns — balanced, captures V-reversals. Recommended. • D=5: 120 patterns — sensitive, captures W/M patterns. Noisier. • D=6: 720 patterns — maximum sensitivity. No lookup acceleration. Lookback — Estimation window size. Hard minimum: D × 5. Statistical recommendation: 5 × D! (e.g., 120 for D=4). Default: 100. Delay (τ) — Stride between points in each pattern (default: 1). Change only for oversampled data. Lookup Acceleration — Enables transition tables for D ∈ {3, 4, 5} with Delay=1. 💮 Threshold Management Rough/Smooth Mode — Static, Dynamic, Percentile, or Disabled for each threshold Static Values — Fixed threshold when Static mode selected Std Dev Multiplier — Band width for Dynamic mode (default: 2.0σ) Baseline/Deviation Length — Lookback for Dynamic mode calculations Percentile Settings — Lookback and percentile values for Percentile mode 💮 Visualisation & Alerts Palette — Colour scheme (default: GYTS Purple) Colouring Bars — Applies texture colours to chart candles Dark Mode — Optimises colour intensity for dark backgrounds Alerts — Triggers when entropy crosses above/below thresholds 🌸 --------- USAGE GUIDE --------- 🌸 💮 Getting Started Apply the indicator with default settings: • Dimension: 4 (balanced complexity, captures V-shaped reversals) • Lookback: 100 (responsive; statistical ideal: ≥120 for 5× coverage) • Smooth Threshold: Dynamic mode with 2.0σ multiplier Observe how entropy rises during choppy consolidation and falls during clean trends. 💮 Interpretation Entropy Value (0 to 1): Below 0.6: Strong pattern dominance — highly ordered 0.7–0.9: Normal complexity — typical market behaviour Above 0.95: Near-random — patterns uniformly distributed Transitions: Watch for regime changes. When entropy rises sharply after a prolonged smooth period, the trend may be losing coherence. When entropy falls from elevated levels, a new trend may be establishing. ↑ Texture transitions during a trend-to-consolidation regime change. During the uptrend, similar patterns (D=3) recur frequently and entropy decreases. As the market transitions to consolidation, entropy rises — signalling the trend is losing structure. 💮 Trading Applications Trend Filtering — Only take trend-following signals during Smooth texture. Mean Reversion Timing — Elevated entropy often precedes mean reversion. Position Sizing — Reduce exposure during Rough texture. Exit Management — Tighten stops when entropy rises during a position. 💮 Integration with GYTS Suite The Pattern Texture Codex exports two signals: PE Continuous — Raw entropy value (0 to 1) PE Ternary — State signal (+1 = Rough, 0 = Neutral, −1 = Smooth) These can be read by Flux Composer or used as filter conditions with Market Regime Detector . 🌸 --------- PARAMETER TUNING --------- 🌸 💮 Lookback Selection Shorter lookbacks react faster but may produce unstable estimates: 50–100: Responsive. Good for intraday regime detection. 100–200: Balanced. Recommended for swing trading. 200–500: Stable. Better for position trading or noisy instruments. The indicator enforces a hard minimum of D × 5 to prevent meaningless output. ↑ Three dimensions (D=3, D=4, D=5) with their academically recommended minimum lookback periods. 💮 Threshold Tuning For Smooth Detection: Dynamic mode with 2.0σ works well across most instruments. Lower multipliers (1.5σ) detect structure earlier but may false-trigger. For Rough Detection: Percentile mode at 90th percentile identifies only extreme chaos. Static threshold of 0.95+ focuses on near-random conditions. Consider disabling Rough detection entirely if your strategy only cares about identifying structured trends. ↑ The three threshold modes on the same PTC calculation. Both upper and lower thresholds are independently configurable. 🌸 --------- LIMITATIONS --------- 🌸 Amplitude Blindness — PE treats all patterns equally regardless of magnitude. A 0.1% drift and a 10% crash produce identical entropy if their ordinal patterns match. Equal Values (Ties) — Handled via temporal tie-breaking (recent values rank higher), but heavily discretised data may produce edge-case behaviour. Sample Size Requirements — Very short lookbacks (below D × 5) produce unreliable estimates. Statistical reliability improves with larger samples. Not Predictive Alone — Low entropy indicates structure exists, not that the trend will continue. Combine with directional analysis for trading decisions. Lag During Transitions — The sliding window approach introduces inherent lag when market texture changes. 🌸 --------- CREDITS --------- 🌸 💮 Academic Sources Bandt, C., & Pompe, B. (2002). Permutation entropy: A natural complexity measure for time series. Physical Review Letters, 88 (17), 174102. DOI Unakafova, V., & Keller, K. (2013). Efficiently measuring complexity on the basis of real-world data. Entropy, 15 (10), 4392-4415. DOI Ehlers, J. F. (2024). The Ultimate Smoother. Technical Analysis of Stocks & Commodities , 2024-04. TASC 💮 Libraries Used FiltersToolkit — Ultimate Smoother and other curated filters PatternTransitionTables — Precomputed lookup tables for O(1) pattern transitions ColourUtilities — Gradient palette generation and colour management
Wskaźnik Pine Script®
od GoemonYae
HTF + LTF Market Structure ICTHTF + LTF Market Structure ICT A dual-stream ICT-style market structure tool that detects MSS (Change of Character) and BOS (Break of Structure) events on both a higher timeframe and the current chart timeframe simultaneously — so you can read HTF context and LTF structure on a single chart. What it does The indicator runs the same fractal-based structure detector twice in parallel: HTF stream (default M15) — runs via request.security with lookahead_off, so events are confirmed at the HTF candle close. Each event renders as a small labeled ribbon tag (e.g. M15 CHoCH ↑) on the LTF bar where the HTF candle closed. Bull tags sit below the bar, bear tags above. No projected lines. LTF stream — runs on the chart TF directly. Each event renders as a break-level line spanning the broken fractal pivot to the firing bar, plus a minimal CHoCH / BOS text label at the line's midpoint — colored text only, no background fill. Bull text floats above the line, bear below. Each stream tracks its own trend state, so the HTF and LTF can disagree — that disagreement is the actionable read (e.g. HTF still bullish while LTF just printed a CHoCH down = first sign of a pullback against trend). How structure is classified Each stream maintains its own directional bias: MSS / CHoCH — the first break against the prior structural trend (reversal signal). BOS — a break in the same direction as the current trend (continuation). The very first event of each stream is classified as MSS by default since there's no prior reference. Line style differs: solid for MSS, dashed for BOS by default. Detection logic A fractal swing pivot is confirmed when a high/low is the extreme over a configurable length (default 5). A break fires when the bar's close crosses through the most recent unbroken fractal (above for bull, below for bear), with barstate.isconfirmed so events don't repaint. Auto-suppression When the chart timeframe equals the chosen HTF (e.g. you're viewing the M15 chart with HTF = M15), the HTF ribbon is hidden — both streams would otherwise detect the exact same events on the same bars. Inputs HTF stream — HTF (15min / 30min / 1H / 4H / 1D), fractal length, MSS / BOS toggles LTF stream — fractal length, MSS / BOS toggles Display — line on/off, forward-extend latest line, LTF text on/off, history depth Style — line styles (MSS solid / BOS dashed), line width, HTF ribbon size + transparency, LTF text size, bull / bear colors Alerts Ten preconfigured alertconditions: HTF Bull CHoCH / Bear CHoCH / Bull BOS / Bear BOS LTF Bull CHoCH / Bear CHoCH / Bull BOS / Bear BOS LTF bull aligned with HTF-bull bias (confluence) LTF bear aligned with HTF-bear bias (confluence) Suggested use Works on any symbol or timeframe. Default M15 HTF on an M1 / M3 / M5 chart gives a clean intraday read; for swing structure, try chart TF = 1H with HTF = 4H or 1D. The fractal length controls signal density — drop to 3 for more frequent events on lower-volatility instruments, raise to 7+ to filter for stronger swings. This is a structure visualization tool, not a trading system — it doesn't take trades, manage risk, or compute lot sizes. Use it to read HTF context and LTF trigger timing. Disclaimer This script is for educational and analytical purposes only. It does not provide financial advice and does not guarantee profitability. Past performance of any structural pattern does not imply future results. Always combine with your own analysis and risk management. Quick adjustments you might want before publishing: short title for TV (e.g. HTF+LTF MSS ICT), and grab a chart screenshot showing both HTF ribbons and LTF text active.
Wskaźnik Pine Script®
od syouske
LZ VWAP + TWAP Fusion BY LZ VWAP TWAP Fusion — LZ Indicateur de lecture directionnelle basé sur la combinaison du VWAP et du TWAP. Le VWAP représente le prix moyen pondéré par le volume. Il permet d’identifier les zones où le marché a réellement échangé avec du volume, souvent utilisées comme zones d’équilibre institutionnelles. Le TWAP représente le prix moyen pondéré par le temps. Il donne une lecture plus stable du prix moyen, indépendante des variations brutales de volume. Cet indicateur affiche : - le VWAP - le TWAP - une ligne fusionnée VWAP/TWAP - les croisements VWAP/TWAP - les zones où le prix évolue au-dessus ou en dessous de la moyenne fusionnée Objectif : Aider à repérer les zones d’équilibre, les changements de biais, les croisements importants et les réactions potentielles autour des moyennes institutionnelles. Lecture générale : - Prix au-dessus de la fusion VWAP/TWAP : biais plutôt haussier - Prix en dessous de la fusion VWAP/TWAP : biais plutôt baissier - Croisement VWAP/TWAP : zone de transition ou possible accélération - Prix proche de la fusion : zone d’équilibre ou d’indécision Cet indicateur ne donne pas de signal automatique d’achat ou de vente. Il sert uniquement d’outil visuel d’analyse et de confluence avec d’autres éléments comme les Order Blocks, Fibonacci, RSI MTF, VI/FVG, structure de marché et niveaux de liquidité.
Wskaźnik Pine Script®
od diablos9741313
Custom FractalsThis indicator detects custom bullish and bearish fractal formations by identifying confirmed swing highs and swing lows based on user-defined candle structure. A bearish fractal forms when a candle’s high is greater than the surrounding candles, while a bullish fractal forms when a candle’s low is lower than the surrounding candles. Optional RSI confirmation can be applied to filter signals so that bearish fractals only appear in overbought conditions and bullish fractals only appear in oversold conditions. The script can also draw horizontal pivot levels from each confirmed fractal to help visualize potential support and resistance zones. “Bars Before” controls how many candles to the left of the pivot must confirm the fractal structure, while “Bars After” determines how many candles to the right are required before the signal becomes confirmed. Larger settings create stronger but less frequent fractals, while smaller settings react faster and generate more signals. “Non-Repaint Signals” waits for candle close confirmation before plotting signals to reduce repaint behavior during live market conditions. “Draw Horizontal Pivot Lines” displays support and resistance lines extending from confirmed fractals. “Limit to Recent Signals Only” restricts how many historical fractals remain visible on the chart, while “Recent Signal Count” defines the maximum number of stored signals and pivot lines. “Use RSI Confirmation” enables momentum filtering using the Relative Strength Index. “RSI Length” controls the RSI calculation period, “RSI Source” selects the price source used for RSI calculations, and the “RSI Overbought” and “RSI Oversold” levels determine where RSI confirmation is required for bearish and bullish fractals. The pivot line settings allow full customization of the horizontal structure levels. “Pivot Line Length” controls how far the level extends into future candles, while the color, width, and style settings customize the appearance of bullish and bearish pivot zones. This tool is designed for traders who want to identify potential reversal zones, short-term exhaustion points, and key support or resistance levels using price structure and optional momentum confirmation.
Wskaźnik Pine Script®
od tgregg75
1
MMXM Model Checklist by [Pac]MMXM Model Checklist by A simple checklist tool to validate MMXM (Market Maker Model) setups before entering a trade. The checklist covers 3 phases: ① Bias & Context HTF Bias confirmed (Daily/Weekly direction) DOL (Draw on Liquidity) identified Price in Premium or Discount zone ② Market Structure MSS (Market Structure Shift) confirmed CIC (Change In Character) present Valid Order Block or Fair Value Gap at entry ③ Timing & Entry Kill Zone or ICT Time Macro active SMT divergence or Liquidity Sweep occurred Features: Trade Score — shows % of criteria checked (green ≥75%, yellow ≥50%, red <50%) Symbol pinning — checklist only shows on your chosen symbol Fully customizable: position, colors, font size, visible rows Clean table layout with section headers How to use: Add to chart Check each criteria as you analyze Enter only when score is high and setup aligns
Wskaźnik Pine Script®
od HocICT
FagoriTools 1.0**FagoriTools — Multi-TF Trend + Reverse RSI Levels** All-in-one indicator that combines three utilities into a single script to reduce visual clutter on the chart: **1) Configurable EMAs** Five independent exponential moving averages, each with its own period, color, and on/off toggle. Default values follow common combinations: 9, 12, 26, 50, and 200. Useful for those who rely on classic crossovers (12/26, 50/200) and want all references consolidated within one indicator. **2) Reverse RSI Levels** Instead of displaying the RSI in a separate panel, this module plots two lines directly over price, indicating the exact value at which the asset would need to close for the RSI to reach the oversold (default 30) and overbought (default 70) thresholds. The calculation inverts the RSI formula: starting from the current gain and loss averages (RMA), it solves the equation for the `close` value that would produce the target RSI, accounting for Wilder's smoothing. This allows you to see at a glance, "if it drops to X, it becomes oversold" or "to turn overbought, it needs to rise to Y," without switching between panels. Both the RSI levels and the period (default 14) are fully customizable. **3) Multi-Timeframe Table** A consolidated panel displaying the asset's reading across seven timeframes: 5m, 15m, 1h, 4h, 1D, 1W, and 1M (each can be toggled on or off individually). For each timeframe, the table shows: * Trend — trend direction (Up/Down) based on the close relative to the slow EMA. Green = Up, Red = Down. * RSI — numeric RSI value for that timeframe, with the background color reflecting the trend. * Fixed (optional) — the same trend reading applied to a fixed pair chosen by the user (e.g., SPX500, DXY, BTCUSDT). Useful for tracking correlation with a benchmark without switching charts. The table position is configurable across two dimensions (vertical: Top/Middle/Bottom; horizontal: Left/Right). **How to Use** 1. Enable the EMAs that align with your strategy. 2. Adjust the RSI levels according to your style (some prefer 20/80 in crypto, 30/70 in stocks). 3. Use the multi-TF table to align your trades with the higher timeframe trend. Entries against the trend of larger timeframes typically have a lower win rate. **Notes** * The Reverse RSI is a deterministic calculation, not a projection. The value displayed is the current price required for the RSI to reach the target, and it updates with every candle. * The "Fixed" column depends on the chosen symbol being available on the broker. Otherwise, it remains blank. * Indicator is overlaid on price, working with any asset and timeframe.
Wskaźnik Pine Script®
od hacademy
HTF Candle Box ( 4H ) for CRTDESCRIPTION: This indicator overlays the Higher Timeframe (default: 4H) candle structure directly on your lower timeframe chart (5min, 15min etc). It draws 3 boxes for every HTF candle: // - Body Box : The Open-Close range (Bullish = Blue, Bearish = Red) // - Upper Wick : High to Body Top (Orange dotted) — Liquidity zone // - Lower Wick : Body Bottom to Low (Orange dotted) — Liquidity zone // // WHY USE THIS? // When you trade on 5min or 15min, it is easy to lose context of where // price is within the bigger 4H candle. This tool keeps you aware: // - Are we inside the body? (consolidation or trend continuation) // - Are we in the wick zone? (liquidity sweep, possible reversal) // - Where is the 4H open? (key reference level) // // SETTINGS: // - Higher Timeframe : Change to 1H, Daily, Weekly as needed // - Body & Wick colors are fully customizable // - Open Price Line can be toggled on/off // // Works on any market: Forex, Crypto, Stocks, Indices. // No repainting — uses lookahead_off.
Wskaźnik Pine Script®
od infowoodenhousing
CandelaCharts - Killzone HTF Candles📝 Overview The Killzone HTF Candles indicator is a professional visual tool designed for ICT and SMC traders who prioritize session-based price action. It bridges the gap between Lower Timeframe (LTF) execution and Higher Timeframe (HTF) context by projecting session-specific data (Asia, London, New York) directly onto your chart as discrete candles. This tool allows you to monitor the "Daily Narrative" by seeing how session ranges interact without ever leaving your execution timeframe, helping you identify liquidity sweeps and trend transitions at a glance. 📦 Features Multi-Session Tracking : Pre-configured with 8 primary Killzones: Asia (AS), London Open (LO), NY AM, NY Lunch (LA), NY PM, and 3 additional custom sessions. Dual Projection Logic : Mapped to Chart : Overlays HTF boxes and wicks directly on the price action for historical study and zone identification. Ghost Display : Projects the most recent sessions as a "Rolling Dashboard" on the right side of the chart, keeping your current price action clear. Dynamic Chronology : Ghost candles automatically rotate, ensuring the most recent session is always positioned on the far right. Premium Aesthetics : Built with glassmorphism design principles, featuring customizable body opacity, line widths, and font styles. Timezone Sync : Integrated timezone support (Default: America/New_York) ensures your sessions align perfectly with global markets. ⚙️ Settings HTF Candle Mechanics Candle Size : Adjusts the width of the ghost candles. Bull/Bear Colors : Set your preferred color scheme for bullish/bearish closes. Ghost Offset/Spacing : Fine-tune the position and gap of the ghost candles on the right side. Line Width : Controls the thickness of wicks and candle borders. Opacity : Adjust the transparency of the candle body fills. Session Configuration (I - VIII) Show Session : Enable/Disable tracking for specific Killzones. Display Name : Customize labels (e.g., "LO", "NY AM"). Session Time : Define precise time ranges for each session. Map to Chart : Toggle the HTF candle overlay for specific sessions. ⚡️ Showcase The "Session Transfer" Logic By using the Ghost Candles , you can quickly identify the relationship between different trading periods: AS Range : Often sets the initial consolidation or liquidity pool. LO Expansion : Typically creates the high or low of the day. NY AM Reversal : Often trades back into the LO or AS ranges to fill gaps or sweep liquidity. Highly customizable, build your own custom killzones 🚨 Alerts This version is optimized for visual analysis. While it does not include internal logic alerts, it provides a comprehensive real-time dashboard for manual confluence and bias confirmation. ⚠️ Disclaimer Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Wskaźnik Pine Script®
od CandelaCharts
Cody Zig ZagCody Zig Zag Indicator - Complete Explanation This is a Zig Zag indicator that replicates the MetaTrader 4 (MT4) version, which works differently than TradingView's built-in Zig Zag. Here's what it does: 🎯 What is a Zig Zag Indicator? It filters out minor price movements to show only significant swing highs and swing lows, helping you identify trends and chart patterns (head & shoulders, double tops/bottoms, etc.). ⚙️ User Settings (Inputs) Setting Default What It Does Depth 6 Lookback period to find local highs/lows Deviation 5 Minimum price change (in ticks) to form a new swing point Backstep 2 Minimum bars between swing points Line Thickness 2 Zig Zag line width Bull Color Lime Color for upward moves Bear Color Red Color for downward moves Repaint Levels true If ON, lines/labels adjust real-time; if OFF, they lock on close 🔍 How It Works (The "Bake" Section) Step 1: Find Potential Pivot Points p_lw = Most recent low within Depth bars p_hg = Most recent high within Depth bars Checks if price moved enough (Deviation * tick size) to qualify Step 2: Determine Direction down = Boolean (true = bearish/downward leg, false = bullish/upward leg) Tracks whether we're connecting a high→low (down) or low→high (up) Step 3: Draw Zig Zag Lines Connects alternating swing highs and swing lows Labels each point as: HH = Higher High LH = Lower High LL = Lower Low HL = Higher Low 🏷️ Labels Explained When price makes a new swing point, you'll see: HH (Higher High) - Bullish continuation signal LH (Lower High) - Bearish reversal signal LL (Lower Low) - Bearish continuation signal HL (Higher Low) - Bullish reversal signal 📊 Visual Features Colored Zig Zag lines: Green for up-legs, Red for down-legs Background color: Green during bullish legs, Red during bearish legs (90% transparent) Labels: Tiny triangles pointing up/down with text ⚠️ Repaint Behavior (Important!) Repaint = ON (default) Repaint = OFF Lines/labels update in real-time Locks on bar close Can "repaint" history More reliable for backtesting Good for real-time trading No historical repainting Warning: Zig Zag indicators naturally repaint because they need future bars to confirm pivot points. The repaint option controls HOW they repaint. 🚨 Alerts This script triggers alerts when: Direction Changed - Zig Zag switches from up to down or down to up Bullish Direction - Switches from down to up Bearish Direction - Switches from up to down 📈 How to Use Identify Trend: Upward Zig Zag = Uptrend; Downward = Downtrend Find Patterns: Look for HH/HL patterns (bullish) or LH/LL patterns (bearish) Divergence: Compare Zig Zag swings with oscillator indicators Support/Resistance: Swing points act as natural S/R levels ⚡ Quick Summary This indicator draws a line connecting significant price swings, ignoring small noise. It's great for: Visualizing trend structure Identifying chart patterns Finding entry/exit levels Spotting trend reversals
Wskaźnik Pine Script®
od tonewayclothing
1