Commencez

Volatilité

Supertrend with Keltner Channels ~ CharonQuantThe Supertrend with Keltner Channels Strategy is a trend-following and volatility indicator designed to filter noise and highlight high-quality directional opportunities. Core Logic The indicator is based on two complementary components: • Supertrend defines the primary market regime (bullish or bearish) • Keltner Channels define volatility expansion and contraction Signals are only generated when both trend direction and volatility breakout agree. Signal Conditions A Buy signal is triggered when: • Supertrend flips bullish • Price breaks above the upper Keltner Channel A Sell signal is triggered when: • Supertrend flips bearish • Price breaks below the lower Keltner Channel If one condition is missing, no signal is produced. This design prioritizes signal quality over signal frequency. Visual Structure The indicator uses a clear visual hierarchy: • Bar coloring reinforces directional bias • Supertrend acts as the main directional spine • Keltner Channels provide volatility context • Buy and Sell labels mark execution points All visual elements can be enabled or disabled from the Visual Settings panel. Development and usage notes: This indicator was developed and calibrated on the 1D INDEX:BTCUSD chart. You must tweak the parameters to fit your market, timeframe, and trading style. If you do not read this description or do not understand what the indicator is designed to do, do not use it. Indicators amplify both discipline and mistakes. Important reminder: No single indicator is sufficient on its own.
Indicateur Pine Script®
par CharonQuant
Stocks: QQQ Daily ATR% + Premarket Range (% of ATR)## Stocks/ETFs: QQQ Premarket Range (% of Daily ATR) — ORB Trading Guide ### What this indicator does This indicator is built for **stocks and ETFs** like **QQQ** and is meant to support **Opening Range Breakout (ORB)** trading. It measures the **Premarket Range** from **04:00 to 09:30** (exchange time), then compares that move to QQQ’s **typical full-day movement** using **Daily ATR(14)**. The goal is simple: > **Before the open, decide whether the day is more likely to behave like a “chop day” or an “expansion day,” and then choose the ORB style that matches.** --- ## Key terms (plain English) ### Daily ATR(14) ATR stands for **Average True Range**. On the **daily** timeframe, ATR(14) estimates QQQ’s **typical daily movement** over the last 14 trading days. Think of it as: > “On a normal day, QQQ tends to move about *X* dollars.” --- ### ATR% (vs Daily Close) This converts ATR into a percent of price so you can compare volatility over time: Think of it as: > “QQQ’s typical daily move is about *X%* of its price.” --- ### Premarket Range (04:00–09:30) This is the distance between the **premarket high** and **premarket low** during the session window: **04:00 → 09:30** Think of it as: > “How much QQQ already moved before the bell.” --- ### Premarket Range % of ATR This is the core measurement: It answers: > “How much of a normal day’s movement already happened before the open?” Examples: * **20%** = quiet premarket (small move) * **60%** = active premarket (big move already happened) --- ## How to interpret the Regime label This script classifies the day into one of three “regimes”: ### **CHOP-LEANING** (Premarket Range < 25% of Daily ATR) Premarket was quiet. The open is more likely to be: * range-bound * full of fakeouts * slower follow-through ### **NEUTRAL** (25%–50%) Normal premarket activity. Either outcome is possible: * trend or chop * you must let the open confirm it ### **EXPANSION-LEANING** (Premarket Range > 50%) Premarket was very active. The open is more likely to: * move faster * expand range quickly * have stronger directional pushes (or sharp swings) **Important:** Expansion does not guarantee a clean trend. It means **movement is more likely**. --- # How I use this indicator with ORB (my rules) This indicator is not a buy/sell signal by itself. I use it to decide **which ORB style to trade**. ## Step 1 — Check the “Regime” before the open * If the indicator reads **EXPANSION-LEANING**, I treat it like a momentum environment. * If the indicator reads **CHOP-LEANING**, I treat it like a confirmation environment. * If it reads **NEUTRAL**, I stay selective and let price action confirm. --- ## Step 2 — ORB Execution Rules ### ✅ If **EXPANSION-LEANING** (momentum day) **Goal:** Catch the move early and avoid missing the breakout. **My ORB plan:** * Build my opening range using the **5-minute ORB** * Enter on a **break of the ORB level** * Use the **1-minute timeframe** for the actual entry trigger **How I confirm the break:** * I want a clean break through the ORB level (not just a wick touch) * If price snaps immediately back inside the ORB, I avoid chasing This approach fits expansion days because QQQ can move fast after the open and waiting for perfect retests can cause you to miss the push. --- ### ✅ If **CHOP-LEANING** (confirmation day) **Goal:** Avoid fakeouts and only enter when the break proves itself. **My ORB plan:** * Build my opening range using a **15-minute ORB** * I do **not** enter on the first break * I wait for a **break and retest** * Then I use the **5-minute timeframe** to confirm the retest holds before entry This fits chop days because breaks fail more often, so I require confirmation before committing. --- ### ✅ If **NEUTRAL** **Goal:** Reduce low-quality trades. **My ORB plan:** * Treat it as “wait and see” * Only take the break if price shows strong conviction (hold outside ORB) * If price is whipping in and out of the range, I skip the trade --- ## Best practices * Works best on **1m / 5m / 15m charts** so the premarket high/low is captured accurately. * Premarket session time uses the symbol’s **exchange time**. * Use proper risk management—QQQ can move fast, especially on expansion days. --- ## Disclaimer This script is for educational purposes only and is not financial advice. Trading involves risk. Always use risk management and test any approach before trading live.
Indicateur Pine Script®
par rodtradessometimes
Breakout Targets [AlgoAlpha]🟠 OVERVIEW This script identifies consolidation zones and provides automated breakout targets with risk management levels. It focuses on finding periods where price action compresses and then tracks the subsequent breakout from these ranges. When a price breakout is confirmed, the script automatically projects three take-profit (TP) levels and a stop-loss (SL) based on current market volatility. This helps traders move from identifying a range to executing a trade with predefined exit points without manual calculation. 🟠 CONCEPTS The script uses a relationship between Weighted Moving Averages (WMA) and Exponential Moving Averages (EMA) of price ranges to detect consolidation. When these moving averages cross, it triggers the detection of recent pivot highs and lows to draw a visual "box" or channel. This channel represents the current trading range. Once price closes outside this box, the script uses the Average True Range (ATR) to determine the volatility-adjusted distance for the stop loss. The take-profit levels are then calculated as multiples of this risk distance, ensuring a consistent reward-to-risk approach. 🟠 FEATURES Dynamic box drawing that highlights potential supply and demand zones within the range. Real-time breakout signals with bullish (green) and bearish (red) markers. Automated trade projection including Entry, SL, and three TP levels. Integrated alert system for breakouts and hits on any profit or loss target. 🟠 USAGE Setup : Add the script to your chart and adjust the "Range Detection Period." A higher period will find larger, more significant ranges, while a lower period will find smaller, short-term consolidation zones. Read the chart : Look for the grey boxes on your chart; these represent areas where the market is "coiling." A green arrow label indicates a bullish breakout from the top of the box, while a red arrow indicates a bearish breakout from the bottom. Once a breakout occurs, follow the projected horizontal levels for your trade management. Settings that matter : The Stop Loss ATR Multiplier is the most critical setting for risk; increasing it will give the trade more room to breathe but will also push your TP levels further away. The Prevent Overlap toggle is useful for keeping the chart clean by ensuring the script doesn't draw new boxes until the current range has been resolved.
Indicateur Pine Script®
par AlgoAlpha
11
Volatility Visualizer Percentiles (VIXFix, ATR, VIX)Summary A volatility regime dashboard for liquid instruments that converts three volatility lenses into 0 to 100 percentile ranks versus the last 252 closed daily bars. It is built to answer one question: is volatility unusually low or unusually high relative to the last year . Use it to adjust position sizing, stop width, and trade selectivity. It is not a directional signal. Scope and intent Markets : US indices and index ETFs, index futures, large cap equities, liquid crypto proxies, and other symbols where daily volatility regimes matter Timeframes : best on Daily. It can be applied on other chart timeframes, but the reference window remains 252 closed daily bars Default demo : SPX on Daily Purpose : provide a simple, testable volatility context layer that you can plug into any daily system as a risk filter or risk scaler What makes it original and useful Most “volatility tools” show raw ATR or a single volatility index. This script standardizes three distinct sources into the same unit (percentile), so you can compare them and combine them without guessing thresholds. Unique fusion : internal realized volatility (ATR%), internal stress proxy (VIXFix), and external implied volatility (input VIX symbol) expressed in the same 0 to 100 scale Practical outcome : the table gives a regime read and an action posture, so the output is directly usable for risk decisions Testable : all components are visible and thresholdable; you can backtest rules like “only trade when composite is between 30 and 75” Portable : percentiles remove the need to hardcode market specific “ATR is high” numbers across different symbols Method overview in plain language Base measures VIXFix : a price based fear proxy derived from the instrument’s own daily behavior (using the relationship between recent high closes and current lows) ATR% : daily ATR normalized by daily close, expressed as a percentage for cross symbol comparability External VIX : a user selected volatility index or proxy pulled via input symbol (default CBOE:VIX) Normalization to percentiles For each metric, the script stores the last 252 closed daily values It then computes where the most recent closed daily value sits inside that history as a percentile from 0 to 100 Tie handling is configurable (Midrank, StrictLess, LessOrEqual) to define how repeated values are ranked Fusion rule Composite percentile is the simple average of the available percentiles (VIXFix, ATR%, VIX) If one component is missing (for example the external symbol is unavailable), the composite averages the remaining components How to use it on Daily This tool is most effective as a risk regime layer on top of an existing strategy. Use the Composite row as the primary dial, and the individual components as confirmation. Recommended operating zones 0–20 Very Low : quiet regime. Tight stops often survive, but breakouts can underperform. Favor mean reversion or require stronger breakout confirmation. 20–40 Low : constructive for many systems. Use baseline sizing and baseline stops. 40–60 Mid : neutral. Run your base playbook. 60–80 High : volatility expansion. Reduce size and widen stops, or trade only higher quality setups. 80–100 Very High : stress regime. Smallest size, widest stops, and skip marginal setups. Gap risk and slippage risk are higher. How to interpret disagreements If ATR% is high but VIX is mid , realized vol is elevated but the market is not pricing extreme fear. Treat as a caution zone, not panic. If VIX is high but ATR% is mid , implied vol is elevated ahead of potential events. Expect expansion risk even if realized vol has not moved yet. If all three are high , treat it as a full stress regime and enforce strict risk limits. What you will see on the chart A compact table with one row per metric and optional composite For each row: last closed daily value, 252D percentile, a progress bar, and an action posture Optional stats: min, median, max for the 252D window (useful for sanity checks, adds CPU) Table fields quick guide Last closed daily : the value used for ranking, taken from the last fully closed daily bar 252D percentile : where the current reading ranks versus the last 252 closed daily readings Bar : quick visual map of percentile from 0 to 100 Action : risk posture suggestion tied to the percentile bucket Inputs with guidance Core Window (closed daily bars) : default 252. Higher values make the regime slower and more structural. Lower values make it more reactive. VIX VIX symbol : default CBOE:VIX. You can replace it with another implied volatility proxy appropriate for your market. VIXFix VIXFix lookback : typical range 21/22. Smaller reacts faster, larger smooths regimes. ATR ATR length : typical range 10–21 on Daily ATR as % of close : recommended on for comparability across symbols and long history UI Show composite volatility score : recommended on. Best single dial. Show action guide : recommended on if you want direct posture cues. Show min, median, max : optional. Useful for diagnostics, higher CPU. Table position : place it where it does not cover price. Usage recipes Daily trend following overlay Trade your trend system normally when Composite is between 25 and 75 If Composite is above 75, reduce size and widen stops, and require stronger trend confirmation Daily mean reversion overlay Focus on Composite below 40 Avoid Composite above 80 where gaps and cascading moves reduce mean reversion reliability Daily risk parity style scaling Use Composite percentile as a coarse risk throttle: higher percentile equals lower exposure Example posture: 0–40 normal exposure, 40–80 reduced exposure, above 80 minimal exposure Alerts This script is intentionally a dashboard and does not emit buy or sell signals. If you want alerts, create them from percentile thresholds in your own fork. For conservative workflows, trigger alerts on bar close. // Example alert conditions (add to your fork if desired) high_vol = comp_pct > 80 low_vol = comp_pct < 20 Honest limitations and failure modes This is not a directional predictor. Volatility can rise in both bull and bear markets. Percentiles are relative to the last 252 closed daily bars. A “high percentile” is high versus recent history, not an absolute guarantee of future movement. Implied volatility (VIX) can move ahead of realized volatility (ATR%). Treat divergence as information, not a signal. Very high volatility regimes can include gap risk and slippage risk that are not visible in indicator values alone. Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use.
Indicateur Pine Script®
par exlux
Rate of Change - ROC🎯 Overview This is an advanced Rate of Change - ROC indicator that measures percentage price movement over time, combined with dynamic moving average filtering. Unlike basic ROC implementations, this version features gradient momentum zones, multiple color themes, and a clear signal dashboard for precise momentum velocity identification. 🧩 Core Components 1. ⚙️ Technical Foundation 📊 Primary Calculation: Uses TradingView's built-in ta.roc() function which calculates percentage change between current price and price N periods ago 📈 Dual Analysis Components: ROC Line: Percentage change oscillator MA Filter: Customizable moving average acting as momentum trend line Momentum Zones: Gradient fills for strong positive and strong negative momentum ⚡ Velocity Measurement: Unique ability to quantify the speed of price movement as a percentage 2. 🎛️ Configuration Parameters 📏 ROC Length: Default 35 periods (optimized for momentum detection) 🔄 MA Filter Settings: Length: Customizable (default 365 periods) Type: 6 options available (EMA, SMA, RMA, WMA, VWMA, HMA) 🎨 Color Themes: 5 visual schemes consistent with your indicator suite: Classic, Modern, Robust, Accented, Monochrome 📊 Signal Interpretation: 🟢 BULLISH: ROC > MA Filter (momentum accelerating upward) 🔴 BEARISH: ROC < MA Filter (momentum accelerating downward) 🚀 STRONG BULLISH: ROC > 40% (extreme positive momentum) 📉 STRONG BEARISH: ROC < -20% (extreme negative momentum) 3. 🎨 Visual Elements 🚨 Gradient Zones: Strong Bullish zone : Green gradient intensifying toward higher percentages Strong Bearish zone : Red gradient intensifying toward lower percentages 📋 Dashboard Display: Top-right status indicator showing "⬆️ Bullish" or "⬇️ Bearish" 📊 Dynamic Coloring: ROC line changes color based on position relative to MA ⚡ Zero Line Reference: Natural equilibrium at 0% change ⚡ Trading Applications 📈 Primary Uses: 🎯 Momentum Velocity Measurement: ROC > MA = Accelerating bullish momentum ROC < MA = Accelerating bearish momentum 💪 Momentum Strength Quantification: Higher positive percentages = Stronger uptrend acceleration Lower negative percentages = Stronger downtrend acceleration Measures rate of change rather than just direction 🚨 Extreme Momentum Signals: Strong Bullish: (rapid price appreciation) Strong Bearish: (rapid price depreciation) 📊 Zone Analysis: 🟢 Strong Bullish Zone : Green gradient fills Indicates rapid price acceleration upward Often precedes consolidation or pullback 🔴 Strong Bearish Zone : Red gradient fills Indicates rapid price acceleration downward Often precedes bounce or reversal 🟡 Equilibrium: Yellow MA line acts as momentum trend filter 🎨 Customization Options 👁️ Display Features: 📊 Dual Components: Always shows both ROC line and MA filter 🎨 Gradient Visualization: Automatic fill for extreme momentum conditions 📋 Status Dashboard: Clear bullish/bearish momentum acceleration indication 📈 Customizable MA: Choose from 6 different moving average types 📏 Adjustable Thresholds: 40% and -20% levels optimized for ROC analysis 🎨 Visual Themes: (Consistent suite) 🎨 Classic: Green/Red (traditional momentum colors) 🚀 Modern: Cyan/Purple (contemporary) 💪 Robust: Amber/Deep Purple (high contrast) 🌈 Accented: Purple/Magenta (vibrant) ⚫⚪ Monochrome: Light Gray/Dark Gray (minimalist) 🔔 Alert System 🟢 LONG Alert: Triggers when ROC crosses above MA 🔴 SHORT Alert: Triggers when ROC crosses below MA 📧 Format: Includes ticker symbol for tracking ⚡ Key Advantages ✅ Strengths: 🎯 Velocity-Based Analysis: Measures speed of price movement, not just direction 💪 Percentage-Based: Provides intuitive understanding of momentum strength 👁️ Trend Acceleration Identification: MA filter shows when momentum is accelerating/decelerating 🔄 Flexible Timeframes: 35-period default optimized for momentum detection 📊 Professional Dashboard: Immediate momentum acceleration status 📊 Optimal Settings: ⚡ Short-term Momentum: ROC Length 10-20, MA Length 20-50 📊 Medium-term Momentum: ROC Length 20-35, MA Length 50-100 📈 Long-term Momentum: ROC Length 35-50, MA Length 100-365 🏆 Unique Features: 🎯 Percentage-Based Measurement: Shows exact rate of price change 📊 Asymmetric Thresholds: 40% bullish / -20% bearish (reflects typical market asymmetry) 🎨 Consistent Design: Matches your indicator family aesthetics 📋 Momentum Dashboard: Quick visual confirmation of acceleration/deceleration 🔧 Speed Analysis: Focuses on velocity rather than just position 🔄 Trading Strategies 1. Momentum Acceleration Strategy: Go LONG when ROC crosses above MA with ROC > 0% Go SHORT when ROC crosses below MA with ROC < 0% Strong signals when crossing occurs in extreme zones 2. Velocity Divergence: Price makes higher high, ROC makes lower high → Momentum divergence (trend weakening) Price makes lower low, ROC makes higher low → Momentum divergence (downtrend losing steam) 3. Trend Acceleration Detection: Rising ROC above MA = Uptrend accelerating Falling ROC below MA = Downtrend accelerating Flat ROC near MA = Trend consolidation 📈 Performance Tips Context Matters: High ROC during strong trends is normal, during ranges may signal exhaustion Zero Line Cross: ROC crossing 0% often signals trend change Extreme Readings: ROC > 40% often precedes consolidation, ROC < -20% often precedes bounce Timeframe Alignment: Use consistent periods across charts for comparable readings Confirmation: Combine with price structure and volume for highest probability trades This enhanced ROC indicator provides professional-grade momentum velocity analysis with intuitive visualization, allowing traders to quantify the speed of price movements, identify acceleration/deceleration phases, and filter signals through the customizable moving average for precise momentum-based trading decisions! 📊⚡
Indicateur Pine Script®
par Tiagorocha1989
Prop Firms No-Trade News (NFP/CPI/FOMC) - 30m WarningProp Firms No-Trade News (NFP / CPI / FOMC) — 30m Warning This indicator is designed for traders operating under **prop firm rules**, where trading during high-impact economic news is restricted or prohibited. It highlights **no-trade windows** around the most critical U.S. macroeconomic events and helps you stay compliant, disciplined, and risk-aware. Covered High-Impact Events * **Non-Farm Payrolls (NFP)** → Automatically calculated (1st Friday of each month at 08:30 ET) * **Consumer Price Index (CPI)** → Manually configurable * **FOMC Rate Decision / Policy Statement** → Manually configurable How It Works * **30-minute warning alert** before each event * **No-trade window shading** on the chart * **Optional labels** for: * Upcoming no-trade period * Exact news release moment * **Customizable buffers**: * Minutes before the event * Minutes after the event Alerts Included * 30-minute pre-news warning * No-trade window start * No-trade window end * News release time All alerts can be used for **manual trading discipline** or automated workflows. Who This Is For * Prop firm traders (evaluation or funded) * Futures and index traders * Traders who want **rule-based protection against emotional or impulsive trading during news** Notes * News times are based on **U.S. Eastern Time (ET)** * CPI and FOMC dates must be updated manually according to the official economic calendar * This tool does **not execute trades** — it enforces awareness and discipline
Indicateur Pine Script®
par ggarritano
ALMA SD Bands | RakoQuantALMA SD Bands | RakoQuant is a volatility-regime band system built from first principles using an institutional smoothing framework: an ALMA baseline combined with ALMA-smoothed standard deviation width, designed for clean trend containment and controlled regime classification. This tool is part of the RakoQuant protected research line, focusing on minimal noise, persistent state logic, and volatility-aware market structure rather than traditional reactive Bollinger-style band behavior. Core Concept This indicator answers one key structural question: Is price operating inside a stable volatility regime, or transitioning into a new directional band expansion phase? Unlike classical deviation band systems that fluctuate aggressively candle-to-candle, ALMA SD Bands introduce: * Ultra-smooth baseline structure * Smoothed volatility width * Persistent directional regime logic * Deadband-based flip stabilization The result is a clean institutional containment model rather than noisy retail band plotting. How It Works 1. ALMA Baseline (Institutional Mean Structure) The centerline of the system is computed using: Arnaud Legoux Moving Average (ALMA) ALMA provides: * Reduced lag compared to EMA * Superior smoothness compared to SMA * Stable regime structure across crypto volatility This baseline acts as the equilibrium axis of the band system. 2. Standard Deviation Volatility Width (Smoothed) Band width is driven by volatility, measured through standard deviation, with two selectable modes: * Price Standard Deviation * Return Standard Deviation (log-return volatility) Rather than using raw deviation directly, volatility is passed through a second ALMA smoothing layer: Smoothed Volatility = ALMA(StdDev) This eliminates the jitter and band shaking that defines most Bollinger-type systems. 3. Adaptive Containment Bands Final bands are constructed as: * Upper Band = ALMA Basis + Multiplier × Smoothed Volatility * Lower Band = ALMA Basis − Multiplier × Smoothed Volatility Unlike traditional ±2σ envelopes, the multiplier is intentionally adjustable and tuned for regime containment rather than extreme tagging. 4. Deadband Regime Engine (Persistent State Logic) A defining feature of this protected release is its regime persistence model. Instead of flipping trend bias instantly, the script applies a volatility-scaled deadband buffer: * Bull regime activates only above Basis + Deadband * Bear regime activates only below Basis − Deadband This removes micro-flips and produces a true structural regime state: * Bullish containment (green) * Bearish containment (red) * Neutral transition zone suppression Regime state persists until a confirmed boundary transition occurs. Visual Engine ALMA SD Bands follows the RakoQuant minimal institutional plotting standard: * Active volatility bands only * Smooth containment fill * Optional candle painting by regime bias * Ultra-clean overlays suitable for confluence stacking This indicator is designed as a structural layer, not a clutter generator. How To Use ✅ Volatility containment framework
✅ Trend regime bias overlay
✅ Expansion / contraction classifier
✅ Portfolio directional filter (RSPS compatible) Recommended workflow: * Trade long only during bullish regime containment * Defensive during bearish containment * Watch for regime flips as volatility transition events * Combine with momentum triggers for execution Best environments: * 4H–1D swing trend structure * Volatility breakout classification * Institutional band containment systems Screenshot Placement 📸 Example chart / screenshot:
Indicateur Pine Script®
par RakoQuant
1
WMA MAD Trend | RakoQuantWMA MAD Trend | RakoQuant is a robust volatility-regime trend system built on Weighted Moving Average structure and Median Absolute Deviation dispersion, engineered to produce clean directional states while suppressing wick-driven noise and unstable ATR distortions. This tool belongs to the RakoQuant protected research line, combining a smooth WMA baseline, statistically robust volatility envelopes (MAD bands), SuperTrend-style regime logic, and a strength-aware visualization layer designed for consistent performance across trending, mean-reverting, and mixed market environments. Core Concept This indicator answers one fundamental question: Is price holding a statistically meaningful deviation from its WMA baseline, or reverting back into range? Unlike classic SuperTrend variants that rely on ATR (highly sensitive to spikes and wicks), WMA MAD Trend uses Median Absolute Deviation as its volatility engine — a robust dispersion measure that remains stable in the presence of outliers. How It Works 1) WMA Baseline (Directional Structure) At its core, the indicator defines the market’s structural center using a Weighted Moving Average: * WMA Baseline tracks directional bias with smoother, trend-weighted responsiveness * The baseline can optionally be smoothed further in intraday mode to reduce micro-chop This provides a stable anchor for dispersion-based regime classification. 2) MAD Volatility Engine (Robust Dispersion Core) Instead of ATR, volatility is measured via Median Absolute Deviation (MAD) around the baseline: * Compute absolute deviation:
|Close − Baseline| * Take rolling median of deviation over madLen * Optional normalization scales MAD toward a stdev-like measure (via constant factor) This makes volatility estimation: * Outlier-resistant * Wick-resistant * Regime-stable during abnormal price spikes 3) MAD Bands + SuperTrend Trailing Logic (Regime State Model) Bands are built as: * Upper Band = Baseline + Factor × MAD * Lower Band = Baseline − Factor × MAD Then classic SuperTrend-style trailing constraints are applied so the active band persists until a true regime break occurs. That produces a state engine: * Bull regime when price breaks above the trailing upper logic (transition into trend-up state) * Bear regime when price breaks below the trailing lower logic (transition into trend-down state) This behaves like a structural market regime model, not a reactive oscillator. 4) Strength Engine (Deviation-Based Intensity) A defining layer of this tool is the MAD Z-score intensity system: * Compute Z-score:
z = |Close − Baseline| / MAD * Map into a 0 → 1 strength scale Interpretation: * Low deviation = weak regime confidence (likely chop / mean reversion) * High deviation = strong regime confidence (trend expansion) 5) Intensity Visual Engine (Signal Clarity Layer) WMA MAD Trend includes a protected visual engine that scales opacity with strength: * Strong expansion = solid trend band * Weak deviation = faded band This gives immediate clarity:
Not all flips are equal — strength is displayed structurally. 6) Optional Institutional Filters Two optional confirmation modules allow institutional-grade filtering: Baseline Confirmation * Bull flips only accepted if price is above baseline * Bear flips only accepted if price is below baseline EMA Stack Filter * Bull only when Fast EMA > Slow EMA * Bear only when Fast EMA < Slow EMA These modules make the tool suitable for: * Directional portfolio bias frameworks (RSPS) * Regime classification overlays * Trend confirmation filters for execution systems 7) Strong Flip Tier Alerts Signal quality is tiered: * Standard flip alerts * Strong flip alerts only when deviation strength exceeds a threshold This produces a higher-confidence regime transition model for swing positioning and exposure scaling. How To Use ✅ Trend regime overlay
✅ Wick-resistant volatility trend filter
✅ MAD-based deviation strength engine
✅ Directional bias tool for portfolio systems Best use cases: * 1H–1D trend frameworks * Regime filters for signal stacking * Chop suppression in volatile markets Suggested workflow: * Bull bias when the regime is bullish and strength is rising * Reduce risk / defensive when strength fades or a bearish flip occurs * Pair with execution tools (breakout/mean-reversion entries) for timing Screenshot Placement 📸 Example chart / screenshot: snapshot
Indicateur Pine Script®
par RakoQuant
1
Step Generalized Moving Average [BackQuant]Step Generalized Moving Average Overview Step Generalized Moving Average (StepGMA) is a trend-structure moving average designed to solve two common problems with classic MAs: They overreact to noise in chop, causing constant micro-flips. They lag too much when you smooth them enough to stop that noise. StepGMA tackles this by combining two layers: A Generalized Moving Average (GMA) that increases responsiveness without simply shortening length. A Step Filter that converts the MA into discrete “steps” sized by ATR, suppressing insignificant movement and only updating when the move is meaningful. The output is a trend line that behaves more like market structure: it holds its level through noise, then “reprices” in chunks when volatility-adjusted movement is large enough. What the indicator is trying to represent Instead of showing every tiny MA wiggle, StepGMA tries to represent the idea that: Most price movement is noise relative to volatility. Trend only matters when it advances by a meaningful amount. A good trend line should stay stable until the market forces it to move. That makes this indicator useful as: A regime filter (trend vs chop). A trend-following bias line. A structure-like dynamic S/R reference. A signal generator with fewer low-quality flips. Component 1: Moving Average engine (selectable) The base smoothing is not fixed. You can choose between multiple MA types: SMA, EMA, WMA, VWMA: classic smoothing families. DEMA, TEMA: reduced-lag EMA variants. T3: smooth yet responsive, good for trend. HMA: very low lag, can be twitchy without filtering. ALMA: center-weighted smoothing, often “cleaner” visually. KAMA: adaptive smoothing based on efficiency ratio, good in mixed regimes. LSMA: regression-based, tends to track trend direction well. McGinley: dynamic smoothing designed to reduce lag during fast moves. This matters because the StepGMA is not “one MA.” It is a framework that lets you pick the underlying smoothing behavior, then applies the generalization and step logic on top. Component 2: Generalized Moving Average (GMA) Where the idea comes from Generalized MA here is essentially a form of two-stage smoothing compensation . A common trick in signal processing and technical analysis is: Apply a smoother once (MA1). Apply it again (MA2). Use MA2 as a “lag reference,” then combine MA1 and MA2 to reduce lag while keeping smoothness. This is related in spirit to reduced-lag filters (like DEMA/TEMA) and “zero-lag” style constructions that subtract part of the lag component. You are not magically removing lag, you are biasing the output toward the first-pass MA while subtracting some of the second-pass smoothing that represents delayed response. How this script does it It computes: ma1 = MA(src, len) ma2 = MA(ma1, len) Then combines them using a volume factor (vf): generalized = ma1 * (1 + vf) - ma2 * vf Interpretation: ma2 is a “more delayed” version of ma1. Subtracting vf * ma2 and adding (1+vf) * ma1 pushes the output toward responsiveness. vf controls how aggressive that push is. Volume Factor (vf) is really an aggressiveness knob The script clamps vf between 0.01 and 1.0 to keep it stable. Conceptually: Low vf: behaves closer to a normal MA1, smoother, more lag. High vf: more compensation, faster response, more risk of overshoot or noise sensitivity (which is then handled by the step filter). So the GMA stage tries to give you a cleaner, faster trend estimate without just shrinking the MA period. Component 3: Step Filter (the key behavior) What a step filter is A step filter turns a continuous signal (here, the generalized MA) into a discrete “staircase” signal. Instead of updating every bar, it updates only when the input has moved far enough to justify a new step. This is conceptually similar to: A quantizer in signal processing (rounding changes to discrete increments). A volatility threshold filter (ignore changes smaller than X). Market structure logic where levels matter more than micro movement. How it works in this script The filter maintains a persistent value: stepped . Each bar: diff = src - stepped If |diff| < stepSize, do nothing (hold the level). If |diff| >= stepSize, move stepped by a number of step increments. The step increment size is: stepSize = (stepMult / 100) * ATR(atrPeriod) This is critical: In higher volatility, ATR is larger, so steps are larger, fewer updates, more stability. In lower volatility, ATR is smaller, so steps are smaller, more updates, more sensitivity. So the step behavior automatically adapts to volatility. Multiple-step catching behavior If price jumps far beyond one step, the script does not move only one step. It moves by: floor(|diff| / stepSize) * stepSize So it “catches up” in discrete blocks, preserving the stepped character without lagging massively after large moves. Direction and regime Direction is determined by the stepped line, not the raw MA: direction = +1 if steppedMA is rising direction = -1 if steppedMA is falling otherwise direction stays the same Signals only trigger on direction state changes: Long when direction flips to +1 Short when direction flips to -1 This matters because it prevents repeated signals while the trend remains intact. You only get a signal when the market has moved enough (in ATR terms) to justify a structural step in the opposite direction. Secondary line and gradient fill The script also plots a secondary “slow MA” (length 25, same MA type). This is not the core logic, it is a visual context layer: StepGMA is the structure line (discrete, regime-driven). Slow MA is a smoother reference for the underlying drift. The gradient fill highlights separation and dominance. When StepGMA sits above the slow MA, the fill reinforces bullish bias. When below, it reinforces bearish bias. It is basically a “trend pressure” visual, not a separate signal. How to interpret it 1) StepGMA as trend structure Flat steps mean price is not making enough volatility-adjusted progress to move structure. Up-steps mean the market has advanced enough to reprice the trend line upward. Down-steps mean deterioration significant enough to reprice structure downward. 2) Direction is a regime, not a tick-by-tick call Because direction is derived from step changes, it is naturally a regime filter: Fewer flips in chop. Clearer regime transitions. Signals tend to occur later than ultra-fast tools, but with better confirmation quality. 3) Step size controls noise rejection StepMult is the main “anti-chop” control: Higher stepMult = bigger ATR steps = fewer updates, fewer signals, more confirmation, slower to react. Lower stepMult = smaller steps = more updates, more signals, more sensitivity, more chop risk. 4) Generalization controls responsiveness of the underlying trend estimate vf controls how “fast” the MA tries to be before stepping: Higher vf makes the MA respond faster to new price information. Lower vf makes the MA smoother and more conservative. The step filter then decides whether that change is meaningful enough to matter. Practical use cases Trend filter for entries Only take longs when direction is bullish. Only take shorts when direction is bearish. Avoid trades when StepGMA is flat for long periods, market is not repricing meaningfully. Dynamic support and resistance Because the line holds levels, it often behaves like structure: In uptrends it can act as a rising support reference. In downtrends it can act as falling resistance. Signal quality layer The step-based flip signals tend to be higher quality than basic MA crossovers because they require: A meaningful volatility-adjusted move. A confirmed direction change in the stepped trend structure. Trade management Use StepGMA as a trailing invalidation reference. Use direction flips as “hard” regime exits. Use separation vs slow MA as a “pressure” gauge for scaling decisions. Tuning guidelines MA Type Pick based on the character you want: T3, ALMA, KAMA are usually good defaults for clean trend representation. HMA/LSMA are faster but may need larger stepMult to avoid twitch. SMA is slow and stable but can be too laggy unless vf is increased. MA Period Sets the base smoothing horizon. Longer periods give “macro trend,” shorter periods give “tactical trend.” Volume Factor (vf) Sets responsiveness compensation: 0.05–0.25 is usually sensible. Higher than that can get aggressive, step filter will save you, but your steps may fire more often. ATR Period and StepMult These define your structure sensitivity: ATR Period controls how stable the volatility estimate is. StepMult controls how large a move must be to change structure. If you want fewer flips, increase StepMult or ATR Period. If you want quicker reaction, lower StepMult or ATR Period. What this indicator is and is not It is: A trend structure MA that ignores sub-threshold noise. A regime tool that uses volatility-adjusted repricing logic. A configurable framework that works across assets and timeframes. It is not: A predictive reversal tool. A scalping signal machine. A replacement for risk management. Summary Step Generalized Moving Average combines a lag-compensated moving average (generalization via MA1/MA2 blending) with a volatility-scaled step filter (ATR-based quantization). The result is a stable, structure-like trend line that updates only when price movement is meaningful relative to volatility, producing cleaner regimes, fewer chop flips, and clearer trend bias than conventional moving averages.
Indicateur Pine Script®
par BackQuant
2
White Core Trend [wjdtks255] White Core Trend is a trend-following indicator designed to strip away market noise and visualize the "Core Trend" of price action. It focuses on the essential relationship between price and a dynamic baseline to provide clear trading decisions. White Core Line: Built on a responsive HMA (Hull Moving Average) logic, this line acts as the definitive trend filter. It reacts swiftly to price changes while maintaining a smooth trajectory to reduce false signals. Intuitive Visual Signals: The indicator identifies trend exhaustion and reversal points by plotting triangle labels (▲/▼). These signals help traders maintain discipline and avoid emotional decision-making. Minimalist Design: Optimized for clarity, the indicator eliminates unnecessary clutter like background colors or complex data overlays, keeping the focus strictly on the trend and entry levels. As a core technical tool, this indicator is used to identify the market's direction and establish precise entry/exit benchmarks. 1. Entry Strategy Long Entry: Enter when the price crosses above the White Core Line and a green triangle appears. Short Entry: Enter when the price crosses below the White Core Line and a red triangle appears. Note: Ensure the candle body closes decisively across the line to confirm the signal. 2. Position Management Trend Following: Stay in the trade as long as the price remains on the correct side of the White Core Line. Reference Point: Use the horizontal white "Entry" line as a visual anchor for your current position. 3. Exit & Stop Loss Stop Loss: Exit immediately if the price crosses back over the White Core Line against your position. Take Profit: Secure profits when the price reaches your target or when the trend starts to flatten out (sideways movement) near the core line.
Indicateur Pine Script®
par wjdtks255
CopyPipe Trading Dashboard - Multi-Indicator Signal Panel 🚀 CopyPipe Trading Dashboard A **free, all-in-one trading dashboard** that displays key indicators and market information in a clean, easy-to-read panel on your chart. #### ✨ Features: 📊 **Signal Summary Panel** - Overall market bias (Bullish/Bearish/Neutral) - Real-time indicator readings - Current trading session display - Daily high/low levels 📈 **RSI Analysis** - Customizable period (default 14) - Overbought/Oversold detection - Color-coded status 📉 **MACD Tracking** - Standard 12/26/9 settings (customizable) - Bullish/Bearish crossover detection 📏 **Moving Averages** - Fast & Slow MA with trend detection - Choose between SMA or EMA - Visual crossover on chart 🌍 **Trading Sessions** - London, New York, Asia, Sydney - Subtle background highlighting - Know when the big players are active 📐 **Key Levels** - Previous day's high/low - Previous close - Great for support/resistance #### 🔔 Built-in Alert Templates This indicator comes with **pre-configured alert conditions** formatted for webhook automation: - MA Bullish/Bearish Cross - RSI Overbought/Oversold - Strong Confluence Signals (multiple indicators aligned) Alert messages are formatted as **JSON** - perfect for connecting to trading automation platforms. --- #### ⚡ Want to Auto-Execute These Signals? **CopyPipe** connects your TradingView alerts directly to MetaTrader 4/5. ✅ Set up alerts on this indicator ✅ Signals execute automatically in MT4/MT5 ✅ No coding required ✅ Works with any broker **Learn more:** copypipe.io --- #### 📖 How to Use 1. Add the indicator to your chart 2. Customize settings in the indicator panel 3. Position the info panel where you prefer 4. Set up alerts using the built-in conditions 5. (Optional) Connect to CopyPipe for auto-execution #### ⚙️ Settings - **Dashboard Settings:** Panel position, size, visibility - **RSI Settings:** Length, overbought/oversold levels - **MACD Settings:** Fast, slow, signal periods - **Moving Averages:** Type (SMA/EMA), lengths - **Sessions:** Toggle which sessions to highlight - **Key Levels:** Daily high/low, previous close - **Colors:** Customize bullish/bearish colors --- Made with ❤️ by the CopyPipe team copypipe.io
Indicateur Pine Script®
par cryptopicasso
Z-Score ProZ-Score Pro - Complete Description This is an **advanced mean reversion indicator** that measures how many standard deviations the current price is from its average. It's ideal for identifying market extremes and trading opportunities. What is the Z-Score? The Z-Score is a statistical measure that answers: **"How far is the price from normal?"** - **Z = 0**: Price is at its average - **Z = +2**: Price is 2 standard deviations above (overbought) - **Z = -2**: Price is 2 standard deviations below (oversold) - **Z > +3** or **Z < -3**: Very rare extremes (occur ~0.3% of the time) Main Features ### 1. **Flexible Calculation** - **SMA or EMA**: Choose between simple or exponential moving average - **Adjustable period**: Default 20 periods - **Smoothing**: Option to smooth the Z-Score to reduce noise ### 2. **Multiple Levels** - **±1.0**: Caution zone - **±2.0**: Overbought/Oversold (68% statistical confidence) - **±3.0**: Rare extremes (99.7% statistical confidence) ### 3. **Trading Signals** The indicator generates automatic signals based on: **Buy Signals (BUY)**: - Z-Score is in oversold zone - Momentum changes from negative to positive (price stops falling) **Sell Signals (SELL)** : - Z-Score is in overbought zone - Momentum changes from positive to negative (price stops rising) **Aggressiveness Levels**: - **Conservative**: Only signals at extremes (±3.0) - **Normal**: Signals at ±2.0 (recommended) - **Aggressive**: More frequent signals at ±1.5 ### 4. **Divergence Detection** **Bullish Divergence** (aqua marker): - Price makes a lower low - Z-Score makes a higher low - Indicates weakening of downtrend **Bearish Divergence** (fuchsia marker): - Price makes a higher high - Z-Score makes a lower high - Indicates weakening of uptrend --- ## Visualization ### Dynamic Colors - **Bright red**: Z-Score > 2 and rising (strong overbought) - **Orange**: Z-Score > 1 and rising - **Purple**: Neutral zone rising - **Transparent green**: Z-Score falling (any level) ### Background Zones - **Intense red**: Extreme overbought (Z > 3) - **Soft orange**: Overbought (Z > 2) - **Intense green**: Extreme oversold (Z < -3) - **Soft lime**: Oversold (Z < -2) ### Info Table (top right corner) Shows in real-time: - **Current Z-Score**: Numeric value with color - **Status**: Extreme OB/OS, Overbought, Oversold, or Neutral - **Momentum**: Rising ↗ or Falling ↘ - **Mean**: Current average value - **Std Dev**: Current standard deviation --- ## Alert System The indicator includes **8 types of alerts**: 1. **Buy Signal**: When entry conditions are met 2. **Sell Signal**: When exit conditions are met 3. **Overbought**: When crossing above +2.0 4. **Oversold**: When crossing below -2.0 5. **Extreme Overbought**: When reaching +3.0 6. **Extreme Oversold**: When reaching -3.0 7. **Bullish Divergence**: Potential reversal up 8. **Bearish Divergence**: Potential reversal down --- ## How to Use It ### **Mean Reversion Strategy** 1. Wait for Z-Score to reach ±2 or beyond 2. Wait for BUY/SELL signal (momentum reversal) 3. Enter trade in opposite direction of extreme 4. Exit when Z-Score returns to zero ### **Divergence Strategy** 1. Identify divergence markers (DIV) 2. Confirm with momentum change 3. Enter in direction of divergence 4. Use Z-Score levels as targets ### **Multi-Timeframe Analysis** - **Short-term** (5-15 min): Scalping with aggressive mode - **Medium-term** (1H-4H): Swing trading with normal mode - **Long-term** (Daily): Position trading with conservative mode --- ## Best Practices **Do**: - Use in ranging/sideways markets - Combine with support/resistance levels - Wait for momentum confirmation - Use conservative mode in trending markets **Don't**: - Trade against strong trends - Ignore divergences - Use alone without confirmation - Over-trade in low volatility --- ## Statistical Background The Z-Score follows a **normal distribution**: - **68%** of values fall within ±1 standard deviation - **95%** of values fall within ±2 standard deviations - **99.7%** of values fall within ±3 standard deviations When price reaches Z = ±2, there's a **95% probability** it will revert toward the mean, making it a powerful mean reversion tool. --- ##Customization Options All aspects are customizable: - Calculation method and periods - Visual colors and transparency - Signal sensitivity - Alert preferences - Level thresholds - Background zones on/off
Indicateur Pine Script®
par ONLYORDERFLOW
Gamma Regime Indicator [Eloni] ╔══════════════════════════════════════════════════════════════════════════════════════════════╗ ║ GAMMA REGIME / VWAP FLOW ENGINE ║ ╚══════════════════════════════════════════════════════════════════════════════════════════════╝ ┌──────────────────────┬─────────────────────────────┬────────────────────────────┬──────────────┐ │ MARKET STRUCTURE │ FLOW / SENTIMENT │ VOLATILITY / IV │ POSITION │ ├──────────────────────┼─────────────────────────────┼────────────────────────────┼──────────────┤ │ • VWAP Distance │ • Call / Put / Total Vol │ • VIX / IV Level │ • Hold Bars │ │ • Round Levels │ • Z-Score Normalization │ • IV Slope (Up/Down) │ • Entry ≥ 5 │ │ • Prev Close │ • Flow Hot / Flow Cold │ • ATR Compress / Expand │ • Exit ≤ 2 │ │ • ATR % │ • PCR Ratio & Slope │ • Regime Shift Alert │ • Buffer │ │ • Near / Far Zones │ • Extremes Detection │ • Volatility Cycles │ • Reset │ └──────────────────────┴─────────────────────────────┴────────────────────────────┴──────────────┘ =============================================================================== PINNING REGIME (MEAN REVERSION ZONE) =============================================================================== ┌─────────────┐ ┌──────────────┐ ┌──────────────┐ │ LOCATION │ ----> │ CONFIRM │ ----> │ EXECUTE │ └─────────────┘ └──────────────┘ └──────────────┘ Near VWAP / Level Flow = Cold Fade Extremes Near Prev Close ATR = Compress Sell High / Buy Low IV = Down Scalps / Short DTE PCR = Extreme ------------------------------------------------------------------------------- WHERE ----- - VWAP ± Threshold - Gamma Walls - Round Numbers - Prior Day Close INDICATORS ---------- - VWAP - Volume Z-Score - ATR Percent - PCR - VIX STRATEGIES ---------- - VWAP Fade - Range Scalping - Iron Condors - Credit Spreads - Mean Reversion Options AVOID ----- - Expanding Range - High Volume Breaks - Rising IV - News Events =============================================================================== TREND / BREAKOUT REGIME (MOMENTUM ZONE) =============================================================================== ┌─────────────┐ ┌──────────────┐ ┌──────────────┐ │ LOCATION │ ----> │ CONFIRM │ ----> │ EXECUTE │ └─────────────┘ └──────────────┘ └──────────────┘ Far from VWAP Flow = Hot Buy Pullbacks Outside Range ATR = Expand Break and Retest IV = Rising Ride Momentum PCR = Trending ------------------------------------------------------------------------------- WHERE ----- - Range High / Low - VWAP Break - Value Area Break - Opening Range INDICATORS ---------- - VWAP Bands - Flow Z - ATR Expansion - IV Slope - Volume Profile STRATEGIES ---------- - Opening Range Breakout - Trend Pullbacks - Debit Spreads - Futures Momentum - Directional Options AVOID ----- - Fading Strength - Weak Volume Moves - Flat Volatility - Midday Chop =============================================================================== NO EDGE / BUFFER ZONE =============================================================================== VWAP Reset | Session Open | Post-News | Low Volume - Reduce Size - Observe Only - Wait for Alignment - Capital Preservation =============================================================================== REGIME DECISION MATRIX =============================================================================== ┌──────────────┬──────────────┬──────────────┬──────────────┬──────────────┐ │ STRUCTURE │ FLOW │ IV │ PCR │ REGIME │ ├──────────────┼──────────────┼──────────────┼──────────────┼──────────────┤ │ Near │ Cold │ Down │ Extreme │ Pinning │ │ Far │ Hot │ Up │ Trending │ Trend │ │ Mixed │ Neutral │ Flat │ Neutral │ No Edge │ └──────────────┴──────────────┴──────────────┴──────────────┴──────────────┘ =============================================================================== EXECUTION PLAYBOOK =============================================================================== PIN MODE -------- Entry : VWAP / Level Touch + Flow Cold Stop : VWAP Break + ATR Expansion TP : Mid-Range / Mean Reversion Size : Medium to High TREND MODE ---------- Entry : Pullback to VWAP / EMA Stop : Range Reclaim TP : ATR Trail / Structure Size : Scale In NO EDGE ------- Entry : None Goal : Preservation Focus : Patience =============================================================================== CORE SYSTEM LOGIC =============================================================================== PINNING = Liquidity Absorption -> Mean Reversion -> Sell Volatility TREND = Momentum Expansion -> Directional Flow -> Buy Volatility NO EDGE = Regime Unclear -> Capital Protection
Indicateur Pine Script®
par EloniThe
2
CGI - Option Premium Tracker [CE vs PE]## ⚡ CGI - Nifty Option Premium Tracker **"Stop Switching Tabs. Decode the Institutional Battle."** Trading Options in Nifty & BankNifty requires speed and clarity. Retail traders lose money because they look at the Spot Chart, but Big Players manipulate the **Premium Chart**. The **CGI Premium Tracker** solves this. It plots both the **CALL (CE)** and **PUT (PE)** premium charts directly on a single screen, allowing you to spot the real winner in real-time. --- ### 🎯 Key Features (Free Version) #### 1. ⚡ Dual-Chart Technology * Visualize the **CE (Green Candles)** and **PE (Red Candles)** side-by-side. * **The Logic:** If Spot is moving up, but the Call Premium isn't following (Divergence), it's a trap. This tool helps you see that instantly. #### 2. 🐋 Operator Candle Detection * **Blue Candles:** Highlight massive volume spikes (1.5x Average). This usually indicates "Smart Money" entering positions. * **Yellow Candles:** Indicate extreme churn/panic. #### 3. 🛡️ Institutional Anchors (Fresh AVWAP) * Standard VWAP lags. Our **Fresh AVWAP** resets daily or at the first 15-minute close, showing you the *true* intraday average price where institutions defend their positions. #### 4. 🚀 Scalper's EMA * Includes the classic 8-EMA setup. A visual guide to stay in the trend as long as momentum holds. --- ### 🛠️ How to Use This Tool 1. **Select Your Strikes:** Go to settings and simply type the Strike name (e.g., `NIFTY24FEB26000CE`). 2. **Watch the Flow:** When Green Candles (CE) dominate Red Candles (PE) above the Anchors, the trend is real. 3. **Spot the Operator:** Watch for **Blue Candle** breakouts to identify where the momentum is starting. --- ### 🔓 Unlock Institutional Intelligence This is the **Basic Visualization** tool. Our **CGI Titanium Engine** (Invite-Only) is designed for professional analysis, adding: * ✅ **Institutional Flow Ribbon:** Visualizes the dominant trend without the noise. * ✅ **Trap Zone Detection:** Automatically highlights "Judas Swings" and fake-outs. * ✅ **Market Consensus:** Advanced geometry to find high-probability reversal zones. **👉 Check the Author Profile below to join the CGI Community!** 👇 **Drop a BOOST (Like) if this tool improved your screen setup!** 🚀
Indicateur Pine Script®
par RaghunanddanBarrve
1
TSM: Time-Series Momentum & Volatility Targeting [Moskowitz]TSM: Institutional Time-Series Momentum & Volatility Targeting (Moskowitz) SUMMARY TSM is a trend and risk-sizing indicator designed to convert price movement into a risk-adjusted regime signal and a single Recommended Exposure output. It addresses a common trend problem: direction can be correct while sizing is wrong during volatility expansions. Recommended Exposure is a signed value where positive indicates bullish bias and negative indicates bearish bias. The magnitude reflects confidence after the volatility and quality filters are applied. The engine combines volatility-scaled time-series momentum across multiple horizons with optional volatility targeting and an optional efficiency filter to reduce noise sensitivity and improve sizing discipline. WHAT THIS INDICATOR GIVES YOU A risk-adjusted momentum signal that is scaled by realized volatility rather than raw returns, so high-volatility noise is less likely to look like strong trend. An optional volatility targeting layer that mechanically scales Recommended Exposure down when realized volatility rises and up when it falls, capped by Max Leverage. An ensemble approach using fast, medium, and slow horizons with configurable weights, reducing dependence on a single lookback and lowering curve-fitting risk. An optional R-squared efficiency filter that reduces exposure in choppy, low-quality trends, with a floor to avoid over-suppressing exposure. Optional workflow features including a dashboard, trend cloud bands, threshold-based signals with cooldown, and alerts. SCIENTIFIC FOUNDATION (PLAIN ENGLISH) Time-Series Momentum (Moskowitz, Ooi, Pedersen 2012) describes the empirical tendency for an asset’s own past returns to predict its future returns in expectation, distinct from cross-sectional momentum which compares assets to each other. Volatility clustering means markets alternate between calm and violent regimes; many traditional trend tools misread volatility shocks as sustainable trend. This indicator normalizes momentum by realized volatility to express trend significance relative to the regime. Volatility targeting (Harvey et al. 2018) scales exposure inversely to realized volatility to stabilize risk. When volatility rises, recommended exposure is reduced mechanically; when volatility falls, exposure can increase, subject to a max leverage cap. DATA AND SOURCES This indicator uses only the chart symbol’s OHLC data. No external feeds, no COT libraries, and no third-party data sources are required. It supports multi-timeframe calculation. You can compute the signal on the current chart timeframe, or use a fixed timeframe such as Daily to keep volatility math consistent when viewing intraday charts. HOW THE ENGINE WORKS (HIGH LEVEL) Step 1 estimates realized volatility from log returns over a chosen lookback. Step 2 computes a volatility-scaled momentum statistic for three horizons (fast, medium, slow) to measure how meaningful the move is relative to volatility. Step 3 clamps extreme values so outliers do not dominate. Step 4 combines the horizons into a weighted ensemble. Step 5 optionally applies an efficiency filter to reduce exposure in choppy trends. Step 6 optionally applies volatility targeting to scale exposure inversely with realized annualized volatility, capped by Max Leverage. The final output is Recommended Exposure as the combined result of direction, risk scaling, and quality filtering. OUTPUTS AND HOW USERS SHOULD APPLY THEM Recommended Exposure is the primary output. Positive values indicate bullish regime bias, negative values indicate bearish regime bias, and larger magnitude indicates higher risk-adjusted conviction after filters. Typical use is as a position-sizing overlay: keep your own entry method and use Recommended Exposure to decide how aggressive or defensive sizing should be in the current regime. Signals are optional and trigger when Recommended Exposure crosses user-defined thresholds. A cooldown reduces repeated triggers during consolidations, and direction can be restricted to long only, short only, or both. The dashboard is optional and displays realized volatility versus target, ensemble momentum, the efficiency metric, the volatility scalar, the quality multiplier, and final Recommended Exposure, including the fast/medium/slow breakdown. Trend cloud bands are optional and provide range context; they are not the signal and are intended as visual regime support. SETTINGS GUIDE (WHAT MATTERS MOST) Fixed Timeframe mode is recommended for consistent volatility math across chart timeframes; Current Chart mode is more sensitive to the displayed timeframe. Momentum horizons control responsiveness versus stability. Shorter lookbacks react faster but whipsaw more; longer lookbacks are smoother but slower. Weights allow emphasizing fast responsiveness or slow regime confirmation. Volatility targeting turns the tool into a sizing engine by scaling exposure inversely to realized volatility. Target annualized volatility sets the risk budget, and the annualization basis (365 vs 252) aligns conventions for crypto versus traditional markets. Max Leverage caps the scalar in very low-volatility regimes. The efficiency filter reduces exposure in choppy conditions; the floor controls how harshly exposure is reduced. Threshold and cooldown control how selective discrete signals are. LIMITATIONS (IMPORTANT FOR USERS) This is a trend-following framework, so it will lag turning points by design. Sideways markets can still cause whipsaws; cooldown and the efficiency filter may reduce but cannot eliminate this. Volatility targeting can reduce drawdowns during volatility expansions but may reduce participation during sharp V-shaped reversals after volatility increases. The efficiency metric is a practical proxy for trend straightness and can misclassify certain price paths. REFERENCES Moskowitz, T. J., Ooi, Y. H., and Pedersen, L. H. (2012). Time series momentum. Journal of Financial Economics, 104(2), 228-250. Harvey, C. R., Rattray, S., Sinclair, A., and Van Hemert, O. (2018). The impact of volatility targeting. Journal of Portfolio Management, 45(1), 14-33. Hurst, B., Ooi, Y. H., and Pedersen, L. H. (2017). A century of evidence on trend-following investing. Journal of Portfolio Management, 44(1), 15-29. DISCLAIMER Educational and informational purposes only. Not financial advice. Trading involves risk. Past performance is not indicative of future results.
Indicateur Pine Script®
par Robinhodl21
ICT Kill Zones PanelICT Kill Zones Panel - Clean & Simple Trading Sessions Indicator A simple, objective indicator to identify ICT Kill Zones with real-time status and smart visual highlighting based on New York timezone. WHAT MAKES IT DIFFERENT: Traditional indicators clutter charts with dozens of colored boxes from past sessions. This tool provides a clean alternative: - Real-time information panel showing current active session - Smart dual-transparency painting: ACTIVE session displays stronger (more visible), historical sessions display softer (less clutter) - Accurate session timing: Only shows active when session is actually happening - Mobile-optimized size for phone trading - Professional interface that doesn't interfere with price action FEATURES: - Real-Time Detection: Panel uses actual NYC time (timenow) to show which session is active NOW - Precise Timing: Sessions activate ONLY during their specific time windows - all zones show inactive outside trading hours - Smart Visual System: Currently active session has stronger background color, past sessions are softer - Color Synchronization: Active session color in panel matches chart background color automatically - Clean Highlighting: Optional background painting with adjustable transparency levels - Full Customization: 9 panel positions, 4 sizes (Mobile/Small/Normal/Large), fully customizable colors - All Sessions: Asian (20:00-01:00), London (02:00-05:00), NY AM (08:00-11:00), London Close (10:00-12:00), NY PM (13:00-16:00) KILL ZONE SCHEDULE (NYC TIME): 1. Asian: 20:00 - 01:00 (5 hours) 2. INACTIVE: 01:00 - 02:00 3. London: 02:00 - 05:00 (3 hours) 4. INACTIVE: 05:00 - 08:00 5. NY AM: 08:00 - 11:00 (3 hours) - overlaps with London Close 6. London Close: 10:00 - 12:00 (2 hours) - overlaps with NY AM 7. INACTIVE: 12:00 - 13:00 8. NY PM: 13:00 - 16:00 (3 hours) 9. INACTIVE: 16:00 - 20:00 During INACTIVE periods, all sessions show as inactive in the panel. COLOR SYSTEM: ALL COLORS ARE FULLY CUSTOMIZABLE: - Each Kill Zone has its own color setting (Asian, London, NY AM, London Close, NY PM) - Default colors shown in screenshots are just examples - Active session in panel: displays with its assigned color (e.g., green for NY AM by default) - Same color appears on chart background with adjustable transparency - Inactive sessions in panel: display with gray (also customizable) - Panel background and text colors: fully customizable - Choose colors that match your chart theme The green color shown for active sessions in examples is the DEFAULT color for NY AM - you can change it to any color you prefer. TRANSPARENCY SYSTEM EXPLAINED: ACTIVE SESSION (happening right now): - Default 70% transparency = STRONGER/MORE VISIBLE background - Instantly shows which Kill Zone is unfolding - Panel row highlights with the session's assigned color - Chart background displays same color stronger HISTORICAL SESSIONS (already passed): - Default 90% transparency = SOFTER/LESS VISIBLE background - Provides context without visual clutter - Panel rows show gray (inactive color) - Both transparency levels fully adjustable in settings MOBILE OPTIMIZED: Select "Mobile" panel size for optimal viewing on phone screens - compact layout perfect for smaller displays. REPAINTING BEHAVIOR: Panel Status & Colors: Update in real-time as sessions change - panel color switches to match the new active session (intentional for current awareness) Active Session Highlighting: Adjusts in real-time to show current session stronger on chart Historical Background Colors: Do NOT repaint - accurately mark when sessions occurred Session Activation: Sessions activate and deactivate precisely at their scheduled times CUSTOMIZATION: - Panel: 9 positions, 4 sizes including Mobile - Colors: Individual customizable color for each Kill Zone - Panel Colors: Customizable background, text, and inactive zone colors - Transparency: Separate controls for active (default 70%) and historical (default 90%) sessions - Toggle: Show/hide individual zones - Chart Painting: On/off HOW TO USE: 1. Add to chart - panel appears top-right 2. Active session displays with its assigned color in panel and stronger on chart 3. Panel shows all zones as inactive during non-trading hours (accurate timing) 4. Panel color automatically changes when new session begins 5. Adjust all colors in settings to match your preferences 6. Adjust transparency settings for optimal visibility 7. Use "Mobile" size for phone trading BEST FOR: - ICT traders timing entries during high-liquidity periods - Smart money concepts (FVG, Order Blocks, Liquidity) - Traders who want clean charts with essential information - Traders needing accurate session timing without false signals - Mobile traders needing compact, clear displays - Traders who want to customize colors to match their chart theme TECHNICAL: - Works on all timeframes - Built with Pine Script v6 - NYC timezone with automatic DST adjustment - Precise hour-based session detection - Lightweight and optimized - Open source FEEDBACK WELCOME: All comments, critiques, and suggestions are welcome! Your input helps improve this tool for the trading community. Created by ivrank13 for traders who value simplicity, accuracy, and clean charts. © 2026 ivrank13. All Rights Reserved. #ICT #KillZones #SmartMoney #ForexSessions #CleanCharts #MobileTrading #CustomColors #AccurateTiming
Indicateur Pine Script®
par ivrank13
Candle Numbers (last N, no bubble) Candle Numbers (last N, no bubble) is a lightweight utility indicator that labels candles with sequential numbers to make chart analysis and discussion easier (e.g., “candle 213”, “the breakout candle”, “the pivot”). It is designed for clarity and performance: labels are text-only (no background bubble) and are drawn only for the last N bars. What it does Numbers the last N candles on the chart (a sliding window near the most recent bar). Counting starts at the left edge of that window: the leftmost bar in the window is 1 the most recent bar in the window is N (or fewer if you use stepping / limits). Allows numbering every Nth bar to keep the chart clean. Places numbers below each candle, with a configurable vertical offset measured in ticks. Inputs Bars to number (last N) (barsWindow) Size of the numbered window (default 200). Number every N bars (step) 1 = every bar, 2 = every second bar, 5 = every fifth bar, etc. Text color (txtColor) Text size (txtSizeIn) tiny / small / normal / large Vertical offset (ticks) (offsetTick) Moves the label down by offsetTick * syminfo.mintick. You can use large values if needed. Max numbers to plot (maxMarks) Extra safeguard to control label count and performance. How it works (implementation notes) Labels are drawn only when barstate.islast is true (updates on the latest bar). Previously created labels are deleted and re-created each update to avoid clutter. Uses max_labels_count=500 plus maxMarks to stay within TradingView label limits. Notes This is not a trading signal indicator. It’s a chart annotation tool for analysis and manual backtesting.
Indicateur Pine Script®
par Walerjan
ATR/Structure Trail Stop Loss This indicator is a high-performance trend-following tool designed to help traders stay in winning positions for maximum "R" gains. It solves the common problem of getting stopped out too early by combining Volatility (ATR) with Market Structure (Price Action Swings). How it Works The script calculates two different stop-loss levels and automatically chooses the most "conservative" one to protect your capital: ATR Stop: Measures the current market volatility. If the market gets wild, the stop widens. If the market gets calm, the stop tightens. Structure Stop: Looks at the lowest lows (for Longs) or highest highs (for Shorts) of the last few candles. This ensures you don't stay in a trade if the actual price trend breaks. Key Features Hybrid Logic: The stop strictly follows Closing Prices to prevent "wick-outs" from temporary spikes. Trend Dashboard: A real-time table tracks ADX (Trend Power). "RUN IT": High momentum; keep trailing for 12R–30R targets. "TIGHTEN": Momentum is dying; consider locking in profits. Visual Diamonds: Uses a Step-Line style with diamonds to show exactly when your stop-loss "locks in" a new level. How to Use It (Step-by-Step) Entry: Enter your trade based on your standard breakout strategy. Initial Risk: Use the Initial Stop (5 points) until the price moves in your favor. The Trail: Once the trend establishes, follow the Light White Diamonds. Scaling: Use the ATR Multiplier input to adjust the "breathing room." Lower Multiplier (e.g., 1.5): Tighter trail, good for scalp targets. Higher Multiplier (e.g., 2.5+): Wider trail, best for catching 30R monster moves. Exit: Close the position immediately when a candle closes on the opposite side of the diamonds.
Indicateur Pine Script®
par khaieconomic