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MoBo Bands - Momentum Breakout IndicatorDESCRIPTION MoBo Bands (Momentum Breakout Bands) is a volatility-based breakout detection indicator that helps traders identify potential momentum shifts in the market. The indicator uses dynamic bands calculated from standard deviation to signal when price breaks above or below established ranges, indicating potential bullish or bearish momentum changes. ═════════════════════════════════════════════════════════════ KEY FEATURES ═════════════════════════════════════════════════════════════ - Dynamic upper and lower bands based on standard deviation - Color-coded bands that change based on breakout direction (green for bullish, red for bearish) - Visual breakout arrows marking entry points above/below bands - Optional colored fill zones between bands showing current momentum state - Customizable displacement for band projection - Built-in alert system for breakout and breakdown signals ═════════════════════════════════════════════════════════════ HOW IT WORKS ═════════════════════════════════════════════════════════════ The indicator calculates a middle line using a Simple Moving Average (SMA) with upper and lower bands positioned using standard deviation multipliers. When price closes above the upper band, a bullish breakout (green) is signaled. When price closes below the lower band, a bearish breakdown (red) is signaled. The bands and fill zones remain colored until the opposite signal occurs, providing clear visual confirmation of the current momentum state. ═════════════════════════════════════════════════════════════ CUSTOMIZABLE INPUTS ═════════════════════════════════════════════════════════════ CALCULATION PARAMETERS: - Price Source - Select which price data to use (default: close) - Length - Period for SMA and standard deviation calculation (default: 10) - Num Dev Up - Standard deviation multiplier for upper band (default: 0.8) - Num Dev Down - Standard deviation multiplier for lower band (default: -0.8) - Displace - Shift bands forward for projection analysis (default: 0) DISPLAY OPTIONS: - Colored Mobo - Enable/disable color-coded bands - Colored Fill - Enable/disable fill zones between bands - Break Arrows - Show/hide breakout and breakdown arrows ALERT OPTIONS: - Show Alerts - Enable/disable alert conditions ═════════════════════════════════════════════════════════════ USAGE GUIDE ═════════════════════════════════════════════════════════════ Watch for price to close outside the bands as potential breakout signals: BULLISH BREAKOUT: Green arrow appears below the lower band when price closes above the upper band, indicating upward momentum shift. BEARISH BREAKDOWN: Red arrow appears above the upper band when price closes below the lower band, indicating downward momentum shift. The bands also serve as dynamic support and resistance levels. When bands are green, momentum is bullish. When bands are red, momentum is bearish. ═════════════════════════════════════════════════════════════ BEST PRACTICES ═════════════════════════════════════════════════════════════ - This indicator works well on liquid futures contracts (MNQ, MES, MYM, MGC, MCL) and major currency pairs across multiple timeframes - Lower deviation values (0.5-1.0) produce more frequent signals suitable for scalping - Higher deviation values (1.5-2.5) filter for stronger breakouts ideal for swing trading - Combine with volume indicators for additional confirmation - Use with momentum oscillators to validate breakout strength - Best results in trending market conditions - Consider the overall market context and trend direction ════════════════════════════════════════════════════════════ ALERT CONFIGURATION ═════════════════════════════════════════════════════════════ Configure custom alerts for automated notifications: - "MoBo BreakOUT" - Triggers on bullish breakout signals - "MoBo BreakDOWN" - Triggers on bearish breakdown signals Set alerts to "Once Per Bar Close" for confirmed signals and avoid false triggers during bar development. ═════════════════════════════════════════════════════════════ IDEAL FOR ═════════════════════════════════════════════════════════════ - Day traders and scalpers on futures markets - Swing traders looking for momentum shifts - Breakout trading strategies - Trend following systems - Works on stocks, forex, crypto, and commodities - Effective across multiple timeframes (1min to daily) ═════════════════════════════════════════════════════════════ Perfect for traders seeking clear visual breakout signals with minimal lag. The color-coded system and arrow markers make it easy to identify momentum changes at a glance. © 2024 NPR21 | Mozilla Public License 2.0 Open-source script NPR21 Disclaimer The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by
Indicateur Pine Script®
par NPR21
2
VWATR Stop-Loss BandsPurpose The script provides an adaptive stop‑loss framework built from VWATR, it anchors protective levels to price extremes and scales them with both volatility and volume. The objective is to create stop‑loss zones that reflect real market intensity rather than arbitrary fixed distances. How it works The script computes true range, multiplies it by volume, and smooths both the volume‑weighted range and raw volume using the selected moving average, their ratio forms VWATR, a volatility measure normalized by traded volume. It then calculates the standard deviation of VWATR to capture volatility‑of‑volatility. Stop‑loss levels are constructed by offsetting the low and high by one VWATR, with additional layers created by adding or subtracting one to five standard deviations. The plots use strong colors for core levels and progressively lighter tones for outer layers, establishing a clear visual hierarchy. Rationale This structure gives the trader stop‑loss levels that adapt to changing market conditions, expanding during high‑energy phases and contracting during quiet periods, which reduces premature stop‑outs and aligns risk with actual volatility. The standard deviation layers provide a graded map of volatility stress, allowing the user to assess how far price must travel to breach increasingly extreme thresholds. The result is a stop‑loss system that is both reactive and context‑aware, offering more informed decision‑making than static offsets.
Indicateur Pine Script®
par chriskokal1
VAM Pro (Multi-Model) [Final]Volatility Adjusted Momentum (VAM) Pro+ is a professional quantitative tool designed to measure trend strength by normalizing momentum against market volatility. Standard momentum indicators often fail during high-volatility periods because they treat every price change the same regardless of market noise. This indicator solves that problem by scaling price changes based on their statistical significance using Z-Score logic. This Pro+ version is specifically optimized for Scalping and Intraday Trading by introducing advanced volatility estimators and mathematical horizon adjustments that superior to classic standard deviation models. The indicator allows you to choose the most suitable volatility model for your specific asset class. The Parkinson Volatility model is highly recommended for Crypto markets because it uses the High-Low range instead of just close prices, effectively capturing intraday wicks and liquidation spikes that standard deviation often misses. For Equities and Forex, the Garman-Klass model is the most efficient choice as it utilizes the full Open-High-Low-Close data set to account for opening gaps and professional trading ranges. The mathematical core of the script features a strict Horizon Adjustment based on the Square Root of Time rule. This aligns the one-bar volatility risk with your chosen momentum lookback period to ensure a mathematically consistent calculation. By default, the script uses Logarithmic Returns to maintain scale invariance, which is critical for assets with high percentage swings like Cryptocurrencies. To trade with VAM Pro, look for the histogram color and its relation to the Zero line. A Green histogram indicates positive volatility-adjusted momentum where bulls are dominant, while a Red histogram shows bearish dominance. Values reaching the +2.0 or -2.0 Sigma levels represent statistically extreme moves that often act as exhaustion points or precede strong mean-reversion opportunities. When the histogram crosses the yellow signal line, it provides an early warning that the current momentum is fading. Investment involves risk. The Volatility Adjusted Momentum (VAM) Pro+ is an analytical tool and does not constitute financial advice, investment recommendations, or an offer to buy or sell any security. Past performance is not indicative of future results. Market conditions can change rapidly, and technical indicators may produce false signals. Always perform your own due diligence, use proper risk management, and consult with a certified financial advisor before making any trading decisions. The author assumes no responsibility for any financial losses incurred through the use of this script.
Indicateur Pine Script®
par fihrist
Options Liquidity Meter (OLM)❓ The question behind this indicator When trading options, it is common to experience situations where price moves in the expected direction, yet the option contract does not increase in value as anticipated. This typically happens when one or more of the following conditions is missing: Insufficient liquidity participation Lack of volatility expansion Weak or passive order flow Options Liquidity Meter (OLM) was created to address this specific question: “If price moves from here, are there conditions for option premiums to actually expand?” 🎯 What this indicator does Options Liquidity Meter is a context tool, not a trading system. It evaluates whether the current market environment is favorable for option premium expansion , based on three core engines: Liquidity (Relative Volume) Measures whether price movement is supported by meaningful participation. Volatility State Identifies compression, release, and expansion phases, where options tend to respond differently. Order Flow Activity (OBV-based) Acts as a proxy for active vs. passive participation, helping filter hollow moves. These components are combined into a single, easy-to-read options context. 🟢🟡🔴 Options Context Output The indicator displays one consolidated state: RED — NO EXPANSION Price may move, but option premiums often do not respond. YELLOW — BUILDING Liquidity or volatility is developing. Conditions are improving but not fully aligned. GREEN — EXPANSION LIKELY Liquidity, volatility expansion, and active flow are aligned. This is a favorable environment for option premium expansion. The same logic is reflected visually through the background color and summarized in the dashboard. 📊 How to read the dashboard The dashboard shows: Liquidity: LOW / OK / HIGH Volatility: COMPRESSED / RELEASED / EXPANDING Order Flow: FLAT / ACTIVE Options Context: NO EXPANSION / BUILDING / EXPANSION LIKELY Below, a Background Color Meaning section explains what each color represents, making the indicator intuitive and educational. 📍 Where to apply this indicator Options Liquidity Meter must be applied to the underlying asset chart, such as: Indices (SPY, SPX, QQQ, etc.) Stocks Futures ETFs It is not designed to be applied to option contracts themselves. The indicator evaluates the market conditions of the underlying, which are the drivers that influence option premium behavior. Contract selection (strike, delta, gamma, expiration) remains the trader’s responsibility. 🧠 How to use it Use your own methodology to define: Direction Structure Entries and exits Use Options Liquidity Meter to evaluate: Whether the current environment supports option premium expansion If the context is RED, be cautious — price may move without rewarding options. If the context is GREEN, the environment is statistically more favorable for options responsiveness. 🔗 Complementary tools Options Liquidity Meter is designed to complement, not replace, other tools. It works well alongside: Opening Path Selector (EMA200 Context Tool) For deciding which asset offers the cleanest directional context. Multi-Tool VWAP + EMAs (Multi-Timeframe) + Key Levels For in-chart structure, bias, and reference levels. Each tool addresses a different stage of the decision process and can be used independently. ⚠️ Important notes This indicator provides context only It does not generate trading signals No indicator guarantees results Use at your own risk.
Indicateur Pine Script®
par mlicero
2
SNIPER Trend Continuation V1TC SNIPER (Trend Continuation) ### When to Use - Market is **OUT OF BALANCE** (trending, momentum) - Clear **displacement** away from prior value - **New York session** (AVOID London open fakeouts!) - Strong directional moves with follow-through ### The Setup Sequence ``` 1. IMPULSE DETECTED └── Strong directional move (2× ATR+) └── Multiple momentum bars └── Price above/below fast EMA 2. LVN ZONE IDENTIFIED └── 23.6% - 61.8% Fibonacci retracement └── Low volume pullback area 3. PRICE PULLS BACK TO LVN └── Retraces into the zone └── Volume decreases (exhaustion) 4. AGGRESSION CONFIRMATION └── Entry candle in trend direction └── Volume spikes (1.3×+ average) └── Fat body, minimal adverse wick └── EMA alignment confirms trend 5. ENTRY → TARGET: PREV POC ```
Indicateur Pine Script®
par alexandrodisla
SNIPER Mean Reversion V1MR SNIPER (Mean Reversion) ### When to Use - Market is **IN BALANCE** (ranging, consolidating) - Price **breaks out but FAILS** to hold - **London session** or compressed summer conditions - Failed breakouts returning to value ### The Setup Sequence ``` 1. BALANCE DETECTED └── Price rotating around POC 2. BREAKOUT ATTEMPT └── Price pushes beyond Value Area 3. FAILURE + RECLAIM ← KEY MOMENT └── Price comes BACK inside balance └── DO NOT trade first move back! 4. PULLBACK INTO LVN └── Wait for pullback after reclaim 5. AGGRESSION CONFIRMATION └── Entry candle shows buy/sell pressure └── Volume elevated (1.2×+ average) └── Fat body (60%+ of range) 6. ENTRY → TARGET: POC ``` ### Signal Labels - **MR↑** = Mean Reversion Long (failed breakdown) - **MR↓** = Mean Reversion Short (failed breakout) - **S/A/B** = Signal quality tier ### Risk Management - **Stop**: Below recent low (long) / Above recent high (short) - **Target**: POC (center of value) - **Risk**: 0.25-0.5% per trade
Indicateur Pine Script®
par alexandrodisla
Positive Volatility Ratio (Vol+ / Vol-) Positive Volatility Ratio (Vol+ / Vol-) This indicator measures whether an asset’s volatility is driven mainly by upward or downward price movements over a given time window. How it works: - Daily returns are calculated. - Positive and negative returns are separated. - The standard deviation of each group is computed. - The Vol+ / Vol- ratio compares how much volatility comes from upward moves versus downward moves. Interpretation: - Ratio > 1 → volatility dominated by upside moves (cleaner momentum). - Ratio ≈ 1 → symmetric movement / noise. - Ratio < 1 → volatility dominated by downside moves (not ideal for momentum). Recommended use: - Use as a pre-filter for the trading universe. - Do not use as an entry or exit signal. - Always combine with trend and liquidity filters. Notes: - This is not a standard or predictive indicator. - It does not replace risk management or stop-loss rules. - Longer lookback windows (60–120 days) tend to be more robust. */
Indicateur Pine Script®
par danavillanueva
SCR Signals(개요) 스토캐스틱, CCI, RSI를 결합한 지표입니다. 편의상 SCR이라고 명명할게요 * 블로거 'SOXL연구원님의 SCR을 지표화했습니다. (지표설명) 1. 스토캐스틱은 %K길이, %K스무딩, %D스무딩이 각각 5,1,3 이 기본입니다. 어퍼밴드(과매수)는 80, 로우어밴드(과매도)는 20이며 설정해서 수정 가능합니다. 2. CCI는 길이 20이 기본입니다. 어퍼밴드(과매수)는 100, 로우어밴드(과매도)는 -100이며 역시 설정에서 변경가능합니다. 3. RSI 길이 14가 기본입니다. 어퍼밴드(과매수)는 70, 로우어밴드(과매도)는 30이며 역시 설정에서 변경가능합니다. (시그널) 세개 지표 중 1개지표가 동시에 과매수 해소되는 순간 S1, 2개지표가 동시에 과매수 해소되는 순간 S2, 3개지표 동시에 과매수 해소시 S3로 하고 캔들 위쪽에 표시 / 세개 지표 중 1개지표가 과매도 진입시 B1, 2개지표가 동시에 과매도 진입시 B2, 3개지표가 동시에 과매도 진입시 B3로 하고 캔들 아래쪽에 표시 Overview SCR is a combined signal system built from Stochastic, CCI, and RSI. For convenience, I call this indicator SCR. This script is an implementation/visualization of the SCR concept shared by the blogger “SOXL Researcher” (SOXL연구원). Indicator Settings Stochastic Default parameters: %K Length = 5, %K Smoothing = 1, %D Smoothing = 3 Default bands: Overbought (Upper) = 80, Oversold (Lower) = 20 All values can be changed in the settings. CCI Default length: 20 Default bands: Overbought (Upper) = 100, Oversold (Lower) = -100 All values can be changed in the settings. RSI Default length: 14 Default bands: Overbought (Upper) = 70, Oversold (Lower) = 30 All values can be changed in the settings. Signals (Plotted on the Main Price Chart) Signals are generated when the indicators trigger their conditions on the same bar (simultaneously). Overbought Resolution Signals (S) — plotted above candles S1: Exactly 1 of the three indicators resolves overbT (overbought resolution) on the same bar S2: Exactly 2 indicators resolve overbought on the same bar S3: All 3 indicators resolve overbought on the same bar Oversold Entry Signals (B) — plotted below candles B1: Exactly 1 of the three indicators enters oversold on the same bar B2: Exactly 2 indicators enter oversold on the same bar B3: All 3 indicators enter oversold on the same bar
Indicateur Pine Script®
par lisnuby
Golden Vector Trend Orchestrator (GVTO)Golden Vector Trend Orchestrator (GVTO) is a composite trend-following strategy specifically engineered for XAUUSD (Gold) and volatile assets on H4 (4-Hour) and Daily timeframes. This script aims to solve a common problem in trend trading: "Whipsaws in Sideways Markets." Instead of relying on a single indicator, GVTO employs a Multi-Factor Confluence System that filters out low-probability trades by requiring alignment across Trend Structure, Momentum, and Volatility. 🛠 Methodology & Logic The strategy executes trades only when four distinct technical conditions overlap (Confluence). If any single condition is not met, the trade is filtered out to preserve capital. 1. Market Structure Filter (200 EMA) Indicator: Exponential Moving Average (Length 200). Logic: The 200 EMA acts as the baseline for the long-term trend regime. Bullish Regime: Price must close above the 200 EMA. Bearish Regime: Price must close below the 200 EMA. Purpose: Prevents counter-trend trading against the macro direction. 2. Signal Trigger & Trailing Stop (Supertrend) Indicator: Supertrend (ATR Length 14, Factor 3.5). Logic: Uses Average True Range (ATR) to detect trend reversals while accounting for volatility. Purpose: Provides the specific entry signal and acts as a dynamic trailing stop-loss to let profits run while cutting losses when the trend invalidates. 3. Volatility Gatekeeper (ADX Filter) Indicator: Average Directional Index (Length 14). Threshold: > 25. Logic: A high ADX value indicates a strong trend presence, regardless of direction. Purpose: This is the most critical filter. It prevents the strategy from entering trades during "choppy" or ranging markets (consolidation zones) where trend-following systems typically fail. 4. Momentum Confirmation (DMI) Indicator: Directional Movement Index (DI+ and DI-). Logic: Checks if the buying pressure (DI+) is physically stronger than selling pressure (DI-), or vice versa. Purpose: Ensures that the price movement is backed by genuine momentum, not just a momentary price spike. 📋 How to Use This Strategy 🟢 LONG (BUY) Setup A Buy signal is generated only when ALL of the following occur simultaneously: Price Action: Price closes ABOVE the 200 EMA (Orange Line). Trigger: Supertrend flips to GREEN (Bullish). Strength: ADX is greater than 25 (Strong Trend). Momentum: DI+ (Plus Directional Indicator) is greater than DI- (Minus). 🔴 SHORT (SELL) Setup A Sell signal is generated only when ALL of the following occur simultaneously: Price Action: Price closes BELOW the 200 EMA (Orange Line). Trigger: Supertrend flips to RED (Bearish). Strength: ADX is greater than 25 (Strong Trend). Momentum: DI- (Minus Directional Indicator) is greater than DI+ (Plus). 🛡 Exit Strategy Stop Loss / Take Profit: The strategy utilizes the Supertrend Line as a dynamic Trailing Stop. Exit Long: When Supertrend turns Red. Exit Short: When Supertrend turns Green. Note: Traders can also use the real-time P/L Dashboard included in the script to manually secure profits based on their personal Risk:Reward ratio. 📊 Included Features Real-Time P/L Dashboard: A table in the top-right corner displays the current trend status, ADX strength, and the Unrealized Profit/Loss % of the current active position. Smart Labeling: Buy/Sell labels are coded to appear only on the initial entry trigger. They do not repaint and do not spam the chart if the trend continues (no pyramiding visualization). Visual Aids: Background color changes (Green/Red) to visually represent the active trend based on the Supertrend status. ⚠️ Risk Warning & Best Practices Asset Class: Optimized for XAUUSD (Gold) due to its high volatility nature. It also works well on Crypto (BTC, ETH) and Major Forex Pairs. Timeframe: Highly recommended for H4 (4 Hours) or D1 (Daily). Using this on lower timeframes (M5, M15) may result in false signals due to market noise. News Events: Automated strategies cannot predict economic news (CPI, NFP). Exercise caution or pause trading during high-impact economic releases.
Stratégie Pine Script®
par Gustav_Rex
2
Market Entropy [Alpha Extract]A sophisticated information theory-based market analysis system that measures price randomness and structural order using Shannon entropy calculations across price, returns, and volume distributions. Utilizing adaptive percentile-based thresholds and multi-timeframe confirmation, this indicator delivers institutional-grade regime classification distinguishing between structured trending conditions and chaotic ranging environments. The system's composite entropy framework combined with dynamic gradient visualization and MTF alignment validation provides comprehensive market state assessment for optimal strategy selection and risk management. 🔶 Advanced Shannon Entropy Engine Implements pure information theory methodology using histogram distribution analysis with configurable bin counts to calculate normalized entropy values for price, returns, and volume metrics. The system constructs probability distributions from rolling windows, applies logarithmic entropy calculations, and normalizes against theoretical maximum entropy to produce 0-1 bounded measurements of market randomness and predictability. float entropy = 0.0 float total = float(len) for i = 0 to bins - 1 float count = array.get(bin_counts, i) if count > 0 float prob = count / total entropy -= prob * math.log(prob) / math.log(2) float max_entropy = math.log(bins) / math.log(2) result := entropy / max_entropy 🔶 Adaptive Percentile Threshold System Features intelligent threshold determination using rolling percentile calculations over configurable calibration periods to establish structure and chaos zones that adapt to changing market characteristics. The system calculates lower percentile for structure threshold (ordered markets) and upper percentile for chaos threshold (random markets), enabling regime classification that adjusts automatically to market evolution. 🔶 Multi-Timeframe Alignment Framework Implements comprehensive MTF entropy analysis retrieving composite entropy from three configurable higher timeframes with alignment validation logic. The system calculates divergence between current timeframe entropy and higher timeframe values, generating confirmation signals only when all timeframes exhibit entropy agreement within tolerance bands for enhanced signal reliability. 🔶 Three-Regime Classification Engine Provides sophisticated market state determination classifying conditions as structure (entropy below lower threshold), chaos (entropy above upper threshold), or neutral (entropy between thresholds) with regime strength measurement. The system tracks regime transitions and calculates conviction scores based on distance from thresholds, enabling nuanced assessment of market order versus randomness. 🔶 Composite Entropy Architecture Combines three distinct entropy measurements weighted by relevance to create unified market randomness metric with exponential smoothing for stability. The system applies 40% weight to price entropy (distribution shape), 35% to return entropy (movement patterns), and 25% to volume entropy (participation randomness), capturing comprehensive market microstructure information. 🔶 Dynamic Gradient Visualization System Features advanced color blending engine that transitions between primary and secondary colors based on entropy momentum intensity with glow effects for conviction emphasis. The system calculates entropy rate of change, normalizes against recent extremes, and applies smooth color interpolation from secondary to primary hues as momentum intensifies, creating intuitive visual representation of regime strength. 🔶 Intelligent Zone Fill Architecture Implements multi-layer gradient fills within structure and chaos zones that intensify as entropy moves deeper into extremes, providing immediate visual feedback on regime conviction. The system creates three-tier gradient levels at 33%, 66%, and 100% penetration into zones with progressively lower transparency, emphasizing extreme entropy conditions requiring attention. 🔶 Momentum-Based Divergence Detection Generates entry signals when entropy crosses below bull divergence level or above bear divergence level, identifying potential regime transitions before price confirmation. The system monitors entropy momentum direction during threshold crossings and validates with MTF alignment, producing high-probability reversal signals at entropy extremes. 🔶 Normalized Display Framework Provides 0-100 scaled visualization using adaptive min-max normalization calculated from percentile analysis, ensuring consistent visual interpretation across different market conditions and instruments. The system transforms raw composite entropy into normalized space with dynamic thresholds, enabling cross-market and cross-timeframe entropy comparison. 🔶 Regime Strength Measurement Calculates conviction scores measuring depth of entropy penetration into structure or chaos zones relative to historical ranges, quantifying how definitively current conditions favor trending versus ranging strategies. The system produces 0-1 strength values that modulate visual intensity and can inform position sizing or strategy allocation decisions. 🔶 Performance Optimization Framework Utilizes efficient array operations with optimized histogram calculations and configurable lookback limits to balance accuracy with computational efficiency. The system includes intelligent caching of percentile calculations and streamlined probability summations for smooth real-time entropy updates across extended historical periods. 🔶 Why Choose Market Entropy ? This indicator delivers sophisticated market regime analysis through pure information theory methodology measuring actual randomness versus structure in price behavior. Unlike traditional volatility or trend indicators that measure price movement characteristics, Market Entropy quantifies the fundamental predictability of market conditions using Shannon entropy calculations. The system's composite approach combining price, return, and volume distributions with adaptive thresholds, MTF confirmation, and gradient visualization makes it essential for traders seeking objective regime classification to optimize strategy selection. Low entropy (structure zone) indicates ordered, trending conditions favorable for directional strategies, while high entropy (chaos zone) signals random, ranging markets better suited for mean reversion or reduced exposure. The indicator excels at identifying regime transitions before they become obvious in price action across cryptocurrency, forex, and equity markets.
Indicateur Pine Script®
par AlphaExtract
Algomist.app v1.0🚀 WMA Crossover Momentum Scalper: Algomist.app AUTO-EXECUTION This strategy is a momentum-based trend-following system optimized for fully automated, high-frequency trade execution via algomist.app webhooks. It systematically enters trades based on a powerful moving average crossover, confirmed by both volume and volatility filters. ⚙️ Core Strategy Logic This script is designed to capture short- to medium-term moves in trending markets by combining three key indicators: Trend Confirmation (WMA Crossover): The primary signal is generated when a Fast WMA (50-period) crosses the Slow WMA (100-period). This crossover confirms the shift in the prevailing trend direction. Volume Filter (VWAP): The trade is only taken if the price is trading above the VWAP for Long entries, or below the VWAP for Short entries. This ensures the trade is aligned with the asset's average price relative to trading volume. Volatility Filter (ATR): A minimum Average True Range (ATR) filter is applied. This is critical for avoiding entries during periods of extreme low volatility ("chop"), ensuring the market has enough movement to justify the trade. 🔗 Algomist.app Automation Ready This is the most important feature. The script contains custom-coded alert() functions that output a perfect JSON payload, making it 100% compatible with the algomist.app webhook infrastructure. Seamless Execution: The strategy instantly transmits all required parameters—symbol, side, entry_price, dynamic stop_loss, and dynamic take_profit—directly to your MT5 terminal through the algomist.app connector. Simple Setup: To enable live automation, you only need to configure a TradingView alert using the provided webhook URL and the {{strategy.order.alert_message}} placeholder on the bar's close. Default Asset: The webhook is pre-configured to trade the ETHUSDC symbol. This can be easily adapted to other crypto or Forex pairs within the algomist.app settings. 🛡️ Dynamic Risk Management (ATR-Based) Risk management is dynamic, ensuring the Stop Loss and Take Profit levels automatically adapt to current market volatility: Stop Loss (SL): Placed at a customizable (x) * ATR distance from the entry price. The default setting is 3.0x ATR. Take Profit (TP): Placed at a customizable (x) * ATR distance from the entry price. The default setting is 9.0x ATR, offering a fixed Reward-to-Risk ratio of 3:1 (9.0 / 3.0). Position Sizing: The script uses strategy.percent_of_equity = 10% for backtesting, but the algomist.app execution is based on an internal calculation using a small percentage (e.g., 5%) of a leveraged notional value for illustrative purposes. Users must set their risk size within the algomist.app platform. Disclaimer: This script is provided as an example for Algomist.app users and is NOT financial advice. Backtest thoroughly across various assets and timeframes. Past performance is not indicative of future results. The user assumes all responsibility for live trading risk.
Stratégie Pine Script®
par Algomist_
Bollinger BandWidth (Session-Adjusted)Description This indicator is a session-adjusted version of Bollinger BandWidth (BBW), specifically designed for instruments with limited trading hours, such as European stock indices (e.g., FTSE MIB, DAX, CAC, which trades from 09:00 to 17:30 CET — 8.5 hours) or individual stocks. Standard Bollinger BandWidth on intraday charts can be distorted because calculations include non-trading periods (flat prices overnight), leading to inaccurate volatility readings.This script dynamically adjusts the Bollinger Bands calculation to approximate daily periods based on the actual trading session length, ensuring the BBW reflects true market volatility during active hours. Key Features Session-Adjusted Bollinger Bands: The lookback period (default 20 days) is converted into an equivalent number of intraday candles based on your chart's timeframe and the session duration. This makes the indicator suitable for intraday timeframes (e.g., 5min, 15min, 1H) on limited-session assets. Bollinger BandWidth (BBW) as Percentage: Plots (Upper Band - Lower Band) / Middle Band * 100, a relative measure of volatility (higher values = wider bands = higher volatility). Dynamic Expansion and Contraction Levels: Red line: Highest BBW over the selected expansion lookback period (default 25 days) — highlights peak volatility levels. Green line: Lowest BBW over the selected contraction lookback period (default 25 days) — highlights extreme squeezes (low volatility). Fully customizable inputs for session hours, BB parameters, and dynamic level periods. How It Works Session Adjustment: Input session duration (default 8.5 hours). The script calculates approximate candles per trading day for your current chart timeframe. Bollinger Bands are computed using length * candlesPerDay bars, simulating a true multi-day calculation within intraday data. BBW Calculation: Basis: Simple Moving Average (SMA). Deviation: Multiplier × Standard Deviation. BBW = (2 × Deviation / Basis) × 100. Dynamic Lines: Expansion line uses the same session-adjusted period for highest BBW. Contraction line uses the lowest BBW. Usage and Trading Ideas Bollinger BandWidth is a powerful volatility indicator popularized by John Bollinger. Low BBW values indicate band contraction ("Squeeze") — periods of low volatility often followed by strong breakouts. High BBW values indicate expansion — trending or volatile phases that may exhaust and lead to consolidation. Squeeze Setup: Watch for BBW dropping toward or below the dynamic low (green) line. This signals potential impending volatility expansion and breakout opportunities. Expansion Confirmation: BBW rising above the dynamic high (red) line suggests strong volatility — useful for trend-following or avoiding counter-trend trades. Combine with price action (e.g., break of support/resistance), volume, or momentum indicators (RSI, MACD) for directional bias. Ideal for intraday or swing trading on European indices, stocks, or other limited-session instruments where standard BBW would be misleading. This adjustment makes the indicator more accurate on lower timeframes compared to built-in versions, providing cleaner volatility signals aligned with real trading sessions. Enjoy the script — feedback welcome!
Indicateur Pine Script®
par fpsantoro
Opening Range candle percent of ATRIt takes the opening range of the first candle - 5, 10, 15 or whatever minute - and finds what percent of the ATR that is. So if the opening candle high is 15 and low is 14, its range is 1. If the ATR (daily or whatever you want) is 2, then the opening candle's range is 50% of the ATR. The percentage is displayed on right in a blue box. The indicator is used in reversal strategies, since opening candles that eat up a large amount of the daily ATR have a higher probability of reversing. Indicator made with ChatGPT.
Indicateur Pine Script®
par hereticsaint
1
Relative VolumeSimple relative volume indicator. Relative Volume (RVOL) on is a technical indicator that compares an asset's current trading volume to its historical average for that specific time of day, helping traders spot unusual activity, confirm trends, or find potential reversals by showing if volume is significantly higher (green/buzzing) or lower (red/flat) than normal. It's popular for intraday analysis, identifying "in-play" tickers, and gauging market conviction.
Indicateur Pine Script®
par aayushr4repo
SNIPER ORB V4SNIPER ORB V4 ### What It Does Draws 5/15/30 minute Opening Range Breakout levels with confirmation patterns. ### Session Times | Session | Hours (ET) | |---------|------------| | London | 3:00 - 9:30 | | New York | 9:30 - 17:00 | ### Levels Drawn | Level | Color Default | Purpose | |-------|---------------|---------| | 5m ORB H/L | Blue | Scalp levels | | 15m ORB H/L | Cyan | Swing levels | | 30m ORB H/L | Purple | **Primary levels** | | Targets 1x-3x | Green/Red | Profit targets | ### Signals | Signal | Meaning | Priority | |--------|---------|----------| | `ORB↑` | Confirmed breakout up | ⭐⭐ | | `ORB↓` | Confirmed breakout down | ⭐⭐ | | `RT↑` | Retest long entry | ⭐⭐⭐ **BEST** | | `RT↓` | Retest short entry | ⭐⭐⭐ **BEST** | | `FVG↑` | FVG zone long | ⭐⭐⭐ | | `FVG↓` | FVG zone short | ⭐⭐⭐ | | `ABS` | Absorption (caution) | ⚠️ Warning | | `FK!` | Fakeout detected | ❌ Avoid | ### FVG Zones (Blue Boxes) - **Bullish FVG** = Gap below price → Support zone - **Bearish FVG** = Gap above price → Resistance zone - **Best Entry** = Price touches FVG + Engulfing candle ### Bar Colors | Color | Meaning | |-------|---------| | Bright Green | Bullish breakout confirmed | | Bright Red | Bearish breakout confirmed | | Light Green | Bullish retest entry | | Light Red | Bearish retest entry | ### Info Table Key | Field | Green = Good | Yellow/Orange = Caution | |-------|--------------|-------------------------| | Volume | HIGH VOL | Normal | | Body | STRONG (70%+) | Normal/Weak | | Status | BROKE HIGH/LOW | IN RANGE | ### Quick Trade Plan ``` LONG: 1. Wait for 30m ORB to complete 2. Watch for ORB↑ breakout 3. WAIT for pullback to ORB High 4. Enter on RT↑ or FVG↑ signal 5. SL = Below 30m ORB Low 6. TP = Target 1x or 2x SHORT: 1. Wait for 30m ORB to complete 2. Watch for ORB↓ breakout 3. WAIT for pullback to ORB Low 4. Enter on RT↓ or FVG↓ signal 5. SL = Above 30m ORB High 6. TP = Target 1x or 2x ``` ---
Indicateur Pine Script®
par alexandrodisla
1
SNIPER Initial Balance V1SNIPER INITIAL BALANCE V1 ### What It Does Draws the first hour's high/low range with extensions and breakout signals. ### IB Times (Auto-Selected) | Market Type | IB Period (ET) | |-------------|----------------| | Index (ES/NQ/YM) | 9:30 - 10:30 | | Gold (GC/MGC) | 8:30 - 9:30 | | Energy (CL) | 9:00 - 10:00 | ### Levels Drawn | Level | Style | Purpose | |-------|-------|---------| | IB High | Solid | Resistance | | IB Low | Solid | Support | | IB Mid | Dashed | Mean reversion | | 50% Ext | Dotted | Target 1 | | 100% Ext | Dotted | Target 2 | | 1SD (1.28x) | Dashed | 80% range | | 2SD (2.0x) | Dashed | 95% range | ### Signals | Signal | Meaning | Action | |--------|---------|--------| | `IB↑` | Breakout above IB High | Look for long | | `IB↓` | Breakout below IB Low | Look for short | | `RT↑` | Retest long entry | **BEST ENTRY** - Go long | | `RT↓` | Retest short entry | **BEST ENTRY** - Go short | | `FK` | Fakeout warning | **AVOID** - Don't enter | ### Entry Requirements (All Must Be True) - ✅ Close above/below level (not just wick) - ✅ Volume ≥ 1.3x average - ✅ Body ≥ 60% of candle - ✅ Minimal adverse wick ### Quick Trade Plan ``` LONG: Wait for RT↑ → SL below IB Low → TP at 50% or 100% ext SHORT: Wait for RT↓ → SL above IB High → TP at 50% or 100% ext ``` ---
Indicateur Pine Script®
par alexandrodisla
Open Interest Weighted Average Price [Arjo]Open Interest Weighted Average Price , or OIWAP , is a simple visual indicator that shows the average price of an asset based on changes in open interest . Instead of using trading volume like VWAP, this indicator gives more weight to prices where new futures contracts are being added or removed . This helps highlight the price levels where traders are actively building or closing positions. The indicator shows: A main line that represents the average price weighted by open interest changes. Upper and lower bands (standard deviation bands) that show how far the price moves away from this average. OIWAP is mainly useful for NSE futures markets , where open interest data is available. It helps traders visually understand where most market participation and positioning are taking place relative to price . Concepts: Applies statistical concepts, including weighted averaging and standard deviation, to open interest data Uses the absolute change in open interest as a weighting factor for each price point Creates a dynamic average that reflects where significant open interest activity has occurred during a given period Standard deviation bands are computed from this weighted average to show the statistical spread of prices around the OIWAP line Resets calculations based on user-selected time periods (daily, weekly, monthly, or session-based) Allows for fresh analysis at regular intervals Similar concept to volume-weighted average price (VWAP) indicators, but uses open interest changes as the weighting component Features: Weighted Average: Calculates a central line based on contract activity. Flexible Anchors: Allows users to choose the reset period for the calculation. Volatility Bands: Displays outer and mid-bands to visualize price stretches. Data Check: Built-in alerts notify you if Open Interest data is missing for a symbol. Visual Zones: Color-coded areas help identify price location at a glance. How To Use When you add the indicator to your chart, you will see: A main OIWAP line — the open-interest-weighted price level Mid-bands around the line (±0.5 standard deviations) Outer bands farther away (±2.0 standard deviations) Shaded background zones between these lines You can: Change the reset period to see how the average behaves over different time ranges Adjust the timeframe for open-interest data Turn mid-bands on or off Adjust colors and styles to improve readability Conclusion The OIWAP indicator serves as an educational tool for visualizing the relationship between price movements and open interest activity in futures markets Presents a weighted average price line along with statistical deviation bands Offers a structured framework for chart analysis Customizable settings allow users to adapt the display to their analytical preferences Maintains focus on visual interpretation rather than directional predictions Functions as a supplementary charting overlay that may complement other forms of technical and fundamental analysis Disclaimer This indicator is for educational and visual-analysis purposes only. It does not provide trading signals, financial advice, or guaranteed outcomes . You should perform your own research and consult a licensed financial professional when needed. All trading decisions are solely the responsibility of the user.
Indicateur Pine Script®
par ARJO_2019
BBands + Overbought/Oversold MarkersAdvanced Bollinger Bands indicator with overbought/oversold signals, automatic squeeze detection, and multi-timeframe (MTF) capabilities. Retains all functions of the original Bollinger Bands indicator from TradingView with a few added features: Overbought/Oversold Markers: Visual signals when price opens and closes outside the bands 🔴 Red Highlight & Arrow → Price opens & closes above the upper BB (potential overbought/excess momentum). 🟢 Green Highlight & Arrow → Price opens & closes below the lower BB (potential oversold/reversal). Squeeze Detection: Automatically highlights when bandwidth reaches its lowest point (narrowest BB width) in the lookback period, signalling potential breakout zones Multi-Timeframe Bands: Display Bollinger Bands from any timeframe on your current chart (e.g., weekly bands on a daily chart), including markers and squeeze zones Dual Rendering MTF Modes: Choose between traditional plots (unlimited history) or smooth line drawing (~125-165 MTF bars of history) Built-in Alerts: Set alerts for overbought conditions, oversold conditions, squeeze detection, or any combination Fully Customizable: Adjust MA type (SMA/EMA/RMA/WMA/VWMA), standard deviation multiplier, colors, and marker styles Perfect for: Swing traders, MTF analysis, volatility-based entries, and identifying consolidation/expansion cycles.
Indicateur Pine Script®
par CryptoPl3be
Debye-Einstein Trend Oscillator [Dual Mode] | IkkeOmarDebye-Einstein Trend Oscillator Indicator Settings Guide Visual Settings View Mode: Switches the chart display. Select "Standard Flow" to see the raw physics energy bars and crossover lines. Select "Trend Diff (MACD)" to see the histogram that highlights momentum shifts and chaos spikes. Physics Engine Trend Lookback: Defines the "Mass" of the trend. This sets the long-term baseline (default 1500 bars). Higher values filter out noise and focus only on macro-cycles; lower values make the system faster but noisier. Chaos Threshold (%): Controls the trigger for the Einstein (Chaos) state. Set to 95, only the top 5% of highest-energy volume events will trigger the vertical white spikes. Lowering this value makes the system more sensitive to volatility. Flow Moving Averages MA Type: Choose between SMA (Simple) or EMA (Exponential) for the smoothing calculation. Fast / Slow Length: These settings determine the sensitivity of the momentum logic. The difference between these two lengths creates the histogram in "Trend Diff" mode. 1. Concept & Theoretical Basis This script applies principles from Solid State Physics—specifically the Debye and Einstein models of specific heat capacity—to financial market trend analysis. The core hypothesis is that market trends behave like physical lattices: Low Energy State (Debye Model): The market moves in a coordinated, wave-like manner (phonons). Trends are sustainable and correlated. High Energy State (Einstein Model): The market becomes chaotic. Individual participants (atoms) vibrate independently and violently. This represents capitulation or euphoria. We model "Price" as the position of particles and "Volume × Range" as the thermal energy (Temperature) entering the system. 2. Implementation Models We constructed the oscillator using three primary physical components: A. The Trend Vector (Mass) We assume the "Mass" of the market is its inertia relative to a long-term baseline. Model: Distance from a 1500-period SMA, normalized by ATR. Assumption: Price deviation from a deep baseline indicates the magnitude of the trend "force." B. Thermodynamics (Temperature) We define "Work" as Volume * True Range. Temperature (T): The Percentile Rank of this Work over the lookback period (1500 bars). Assumption: High volume combined with high range equals high thermal energy. C. The Dual Regimes (Amplifiers) This is the engine of the script. We apply a scalar multiplier to the Trend Vector based on the current Temperature (T). Debye Regime (Sustainable): When T is below the critical threshold (95%), we use a polynomial function (T^2). This mimics the Debye T^3 law where energy scales smoothly. Effect: Smoothly amplifies standard trends. Einstein Regime (Chaos): When T breaches the critical threshold (95%), we switch to an exponential function derived from the Einstein Solid model. Effect: Creates massive vertical spikes during trend exhaustions or breakouts. 3. Code Explanation The Physics Scalars debye_amp(t) => 1.0 + (math.pow(t, 2) * 5.0) Defines the sustainable state multiplier. Squaring the temperature t creates a non-linear but smooth response curve that gradually increases with volatility. einstein_amp(t) => 1.0 + ((1.0 / (math.exp(1.0 / t_safe) - 1.0)) * 15.0) Deep Dive: This function applies the Bose-Einstein distribution formula (1 / (e^(1/T) - 1)). The Physics: In quantum mechanics, this formula calculates the occupancy of energy states. At low temperatures, the value is effectively zero (the "frozen" state). The Function: As our market "Temperature" (T) rises, the denominator shrinks, causing the output to grow exponentially. The Result: This mathematically forces the system to ignore low-volatility noise but react explosively once the "Boiling Point" is reached, creating the vertical spikes seen on the chart. is_einstein = (T * 100) >= thresh_einstein A boolean check that determines if the current market energy (Temperature) has exceeded the user-defined chaos threshold (default 95%). physics_scalar = is_einstein ? einstein_amp(T) : debye_amp(T) The regime switch. If the threshold is breached, the system applies the exponential Einstein scalar; otherwise, it applies the polynomial Debye scalar. Trend Differentiation Logic final_flow = trend_vector * physics_scalar Calculates the primary oscillator value by multiplying the directional Trend Vector (Mass) by the active Physics Scalar (Energy). diff_val = ma_fast - ma_slow Calculates the momentum of the flow itself by subtracting the Slow Moving Average from the Fast Moving Average. This creates the MACD-style histogram. 4. Visual Reporting & Chart Analysis Referring to the generated charts (Trend Diff Mode): The Histogram: Represents the diff_val (Fast MA - Slow MA). Cyan/Pink: Standard trend momentum (Debye mode). White Spikes: These represent the Einstein Threshold (Chaos). These spikes generally appear at local bottoms or explosive breakout points, confirming that "Temperature" has exceeded the 95th percentile. Zero Line: Crossing the zero line implies the trend momentum has shifted (Fast MA crossed Slow MA). 5. Assumptions & Limitations A. The "Always in Trend" Bias The "Trend Diff" mode calculates the delta between two moving averages of the flow. Risk: MAs are laggy by definition. By using a 200/500 MA combo on the oscillator, we are smoothing the data significantly. Consequence: In a ranging market, the MAs will converge near zero. However, if a sudden burst of Volume enters (Temperature rises) without price moving much, the Einstein scalar will trigger. This may amplify a small move into a large signal, implying a trend where there is only volatility. B. Lag The lookback period is 1500 bars. This is a "Macro" trend system. It will not react quickly to short-term reversals unless the Volume/Range shock is massive enough to trigger the Einstein scalar immediately. Example "physics values" In the Standard Flow view, the vertical columns represent the raw energy of the trend—Teal and Red bars indicate normal, sustainable market movement (Debye state), while bright Lime and Fuchsia bars signal chaotic, high-volatility events (Einstein state). The height of these bars shows the combined strength of price direction and volume. Overlaying these columns are two moving averages, a fast Blue line and a slow Red line, which smooth out this data to show the underlying momentum. When the Blue line crosses the Red line, it signals a shift in the trend's direction, while the color of the bars warns you if that move is stable or nearing exhaustion.
Indicateur Pine Script®
par IkkeOmar
4
ADR Dashboard with Move, Left and AlertsIndicator Name: ADR Dashboard with Move, Left and Alerts Overview The ADR Dashboard is a powerful real-time trading tool that tracks how much a stock, crypto, or other asset has moved today relative to its Average Daily Range (ADR). It provides a clear visual representation of: 1. Today’s price movement (Move) 2. Remaining potential movement left to reach ADR (Left) 3. Percentage of ADR covered (% Covered) 4.Additionally, it provides automated alerts for key movement thresholds. A) What it Does 1.Calculates the Average Daily Range (ADR): 2. Uses True Range over a user-defined lookback period (default 14 days). 3. ADR measures typical daily volatility. B) Tracks Today’s Move: 1. Move = Current Price – Today’s Open (Realtime) 2. Positive → bullish move, Negative → bearish move C) Tracks Remaining Potential (Left): 1. Left = ADR – |Move| (Realtime) 2. Shows how much of the ADR is still available for today’s move 3. Percentage Covered: 4. % Covered = |Move| / ADR × 100 D) Color-coded for visual clarity: 1. Green (<50%) → small move, plenty of range left 2. Yellow (50–80%) → moderate move, watch for acceleration 3. Orange (80–100%) → strong move, ADR almost reached 4. Red (>100%) → ADR exceeded, momentum may be exhausted E) Dashboard Table: 1. Columns: ADR | Move | Left | % Covered 2. Position: middle-right of the chart F) Left column color-coded: 1. Green → some ADR left 2. Red → ADR fully reached or exceeded 3. Move column: usually yellow for visibility, but could be enhanced for positive/negative moves G) Alerts The indicator provides directional alerts: Bullish Alerts (upward moves): 1. 90% ADR warning: fires when Move ≥ 90% of ADR → early warning of strong bullish momentum 2. 100% ADR breach: fires when Move ≥ ADR → full daily range reached Bearish Alerts (downward moves): 1. 90% ADR warning: fires when Move ≤ -90% of ADR → early warning of strong bearish momentum 2. 100% ADR breach: fires when Move ≤ -ADR → full daily range reached All alerts are unique and fire once per session per threshold. H) How Traders Can Use This Indicator Momentum Trading: 1. Identify strong intraday moves approaching ADR. 2. Enter positions early at 90% ADR warning or take profits near 100% ADR. Scalping & Intraday Trading: 1. Gauge how much of today’s range is left for quick entries/exits. 2. Avoid trades when ADR is almost fully consumed → reduces risk of reversals. Swing Trading: 1. Combine with trend indicators to see if today’s move is significant relative to historical volatility. I) Risk Management: 1. Set profit targets or stop-loss levels based on Move and Left values. Visual Efficiency: At-a-glance view of Move, Left, % Covered, and alert status without manual calculations. Key Features 1. Real-time Move and Left updates 2. Color-coded % Covered and Left for quick visualization 3. Alerts for 90% and 100% ADR levels, bullish and bearish 4. Clean dashboard table at middle-right of the chart 5. Works across stocks, crypto, forex, and other markets J) Why This Indicator is Powerful 1. Combines volatility (ADR) with real-time price tracking 2. Provides visual clarity and actionable alerts 3. Helps traders stay ahead of intraday moves, manage risk, and time entries/exits effectively
Indicateur Pine Script®
par arupnj2018