Get started

Volatility

GARCH Volume VolatilityGARCH Volume Volatility (GV) Description Concept This indicator applies GARCH (Generalized Autoregressive Conditional Heteroskedasticity) concepts to Volume rather than Price. While most traders analyze volume as a raw figure, this script calculates the volatility of volume changes. By understanding how stable or erratic volume flow is, traders can identify periods of institutional accumulation (often stable, high volume) versus panic or exhaustion (erratic, exploding volume volatility). The script uses an EWMA (Exponentially Weighted Moving Average) model to smooth squared volume returns, providing a highly responsive metric for volume variance. How It Works The calculation follows a strict statistical methodology to ensure accuracy: Returns Calculation: First, the script calculates the period-over-period change in volume. Users can select between Logarithmic Returns (ideal for handling the skew in volume data) or standard percentage change. Variance Proxy: These returns are squared to calculate the raw variance. EWMA Smoothing (The GARCH Component): Instead of a simple moving average, the script applies an EWMA filter. This uses a lambda (decay factor) to weigh recent variance more heavily than past variance. Formula logic: Variance_t = lambda * Variance_{t-1} + (1 - lambda) * Returns^2_t This recursive calculation mimics the "RiskMetrics" approach to volatility, adapting quickly to sudden volume shocks. Dynamic Thresholds: The script calculates a Mean and Standard Deviation (Z-Score bands) of the resulting volatility to generate dynamic Overbought/Oversold zones for volume stability. Visuals & usage The indicator displays a histogram representing the current Volume Volatility, color-coded by its intensity relative to the dynamic bands: Red (High Band): Indicates extreme volume volatility (3+ Standard Deviations). This often occurs during capitulation bottoms or euphoric tops where volume consistency breaks down completely. Maroon (Above Mean): Indicates elevated volatility. Volume is changing rapidly, suggesting active fighting between buyers and sellers. Green (Low Band): Indicates low volatility. This suggests volume is flowing consistently. In trends, consistent volume (low volatility) often confirms a sustainable move. Settings Use EWMA: Toggles the recursive GARCH-style calculation. If disabled, it reverts to a simple SMA of variance. Log Returns: Recommended true. Uses log-change for smoother handling of massive volume spikes. EWMA Lambda: The decay factor (Default 0.94). Higher values make the indicator smoother; lower values make it more reactive to immediate shocks. Threshold Lookback: The length of the window used to calculate the dynamic bands (High/Low zones). Disclaimer This tool is designed for technical analysis of volume patterns and does not guarantee future price direction. Volume analysis is subjective and should be used in confluence with price action.
Pine Script® indicator
by MarkitTick
Miela Labs | John Dee's Watchtower [257-463]Bridging the gap between 16th-century esoteric mathematics and modern algorithmic trading. The Enochian Watchtower is not merely a trend indicator; it is a computational artifact developed by Miela Labs LLC. This script translates Dr. John Dee’s "Great Table of the Watchtowers" and the "Sigil Dei Aemeth" into actionable financial data points. Using our proprietary Occultator V2.0 Engine, we have derived specific mathematical constants that resonate with the current market structure. 🏛️ The Algorithmic Logic This indicator utilizes three sacred numbers to construct a "Future Vision" of the market: 1. The Axis Mundi (Vector 257): derived from Fermat Primes and John Dee’s Grid coordinates. This Weighted Moving Average (WMA) acts as the spinal cord of the trend. 2. The Gates (Cipher 463): A prime number derived from the "Galethog" cipher stride. These bands define the absolute volatility limits (Heaven & Earth Gates). 3. Future Vision (Offset 21): Utilizing Fibonacci time sequences, the indicator projects Support and Resistance levels 21 bars into the future, allowing traders to anticipate market movements before they occur. ⚡ How to Use • The Trend: If price is above the Purple Axis (257), the market is in a bullish phase. • The Entry: Look for "L" (Long) and "S" (Short) signals. These are confirmed when the signal path crosses the Axis. • The Future: Watch the projected lines on the right side of the chart to identify upcoming resistance zones. About Miela Labs Miela Labs is a Technomancy Research Institute based in McKinney, Texas. We specialize in building open-source esoteric trading tools and the Magic Programming Language (MPL). 🌐 Official Hub: Visit Miela Labs 💻 Source Code & Research: GitHub Repository Disclaimer: This tool is for educational and research purposes only. It demonstrates the application of esoteric mathematics in financial analysis. Trade responsibly.
Pine Script® indicator
by hknyrgnc
Fusion Reversion Meter LiteFusion Reversion Meter Lite™ Market Energy & Exhaustion Gauge Fusion Reversion Meter Lite shows whether market conditions support your next trade — not direction, but energy state. It answers a critical question: Does price have fuel to continue… or is it running out of steam? METER STATES 🟢 GO → Energy depleted → Reversion behavior favored 🟡 CAUTION → Energy transitioning → Expect chop or mixed conditions 🔴 STOP → Energy expanding → Continuation behavior favored HOW TO USE GO → Favor reversion trades CAUTION → Reduce size or wait for clarity STOP → Favor continuation trades; avoid fading price This allows you to trade with confidence, knowing whether retracements are likely or not. WHAT THIS MEASURES A composite of: Oscillator intensity Volume energy Volatility expansion Combined into a single, real-time energy gauge. It tells you whether the market has fuel — not which way it’s going. PAIRS WELL WITH FusionPredict Lite™ — shows where price may want to go. Used together: FusionPredict target + Meter GO → Wait for pullback / reversion FusionPredict target + Meter STOP → Continuation may run clean FULL VERSION The full Fusion Reversion Meter™ includes: Directional awareness Multi-timeframe energy analysis Smart alerts and automation hooks Available at fusionpredictor.com
Pine Script® indicator
by Fusion_Predictor
1
FusionPredict LiteFusionPredict Lite Single-Timeframe Reversion Target Indicator FusionPredict Lite highlights where price is statistically likely to revert toward equilibrium after momentum displacement. Rather than chasing candles, this tool helps you see where price may want to go next — allowing for cleaner entries, better patience, and reduced emotional trading. LINE COLORS 🟢 Green Line → Reversion target above current price (bullish bias) 🔴 Red Line → Reversion target below current price (bearish bias) WHY THIS MATTERS Knowing the reversion level helps you: Avoid entering directly into a pullback Anticipate where momentum may pause or unwind Decide whether to wait for price to come to you or trade continuation confidently This is useful not only for scalping, but also for timing cleaner entries during strong moves. HOW TO USE Watch how price approaches and reacts to the reversion line Use it to plan entries without chasing price Best on 1–5 minute charts, but works on all timeframes Compatible with crypto, forex, futures, indices, and metals WHAT THIS IS FusionPredict Lite is the single-timeframe version of the FusionPredict engine. It measures: Momentum displacement Oscillator imbalance Volatility structure …and projects where price may revert as energy normalizes. PAIRS WELL WITH Fusion Reversion Meter Lite™ — helps determine whether market conditions favor: A clean move toward the target Or a continuation without retracement FULL VERSION The full FusionPredict™ includes: Multi-timeframe alignment (up to 6 timeframes) Smart alerts and confluence logic Advanced energy-aware projections Available at fusionpredictor.com
Pine Script® indicator
by Fusion_Predictor
1
Prime -Hub Prime -Hub is a comprehensive, all-in-one technical analysis toolkit designed for professional Intraday and Swing traders on Nifty, BankNifty, and Stocks. This script consolidates three powerful institutional logic systems into a single, clean interface, replacing the need for multiple indicators. Disclaimer: This tool is for educational and analytical purposes only. Past performance does not guarantee future results. Trading involves substantial risk.
Pine Script® indicator
by rmaniyarasan1982
MADD Monkey Pro DMCx Directional Momentum and Confluence EngineMadd Monkey Pro DMCx is a bias and momentum indicator that helps intraday traders read short-term direction and the strength of current moves. It is designed to provide structured context so you can decide when conditions support your ideas and when they do not. Purpose DMCx is built to help you answer: What is the current directional bias on this chart? Is momentum supporting that direction or fading? Does the current environment meet the confluence conditions you have defined? Core components (high-level logic) DMCx combines several elements: Directional engine – evaluates recent price behavior to classify conditions as bullish, bearish or neutral. Momentum and volatility engine – distinguishes between stronger impulsive moves and slower or less convincing movement. Confluence layer – optional filters requiring agreement between direction, momentum and other conditions before highlighting a setup. Signal quality tagging – internal tagging that lets you treat some conditions as higher or lower quality, depending on your configuration. These components are presented through chart markers and a compact status panel summarizing the current bias and momentum state. Key features Clear bias / regime read to show whether price is trending up, trending down or in more neutral conditions. Momentum and volatility context to help distinguish between strong pushes and weaker phases. Optional confluence filters so only aligned conditions are highlighted. A status panel that provides a high-level snapshot of bias, momentum and simple tallies based on how you interpret the output. Modular controls allowing you to toggle key visuals (signals, labels, panel) on or off to match your preferred chart layout. Suggested usage Symbols and timeframes: Can be used on XAUUSD, FX pairs, indices and other liquid instruments. Intraday frames like 15m, 5m or 1h are common use cases, but you may explore higher or lower timeframes according to your own testing. Define your higher timeframe bias and important price levels using your own methods. Use DMCx to check: Whether short-term direction is aligned with your idea. Whether momentum supports that view or suggests caution. Consider taking trades only when your setup and the DMCx context agree, and you have clear rules for entry, stop loss and target. Treat the readings as context, not as standalone entry or exit signals. Notes and limitations DMCx does not repaint closed bars, but its bias and momentum states update as new data appears. This is normal for any real-time context tool. Any performance-style interpretation of the output depends completely on how you choose to use it. The script does not guarantee results. Risk disclaimer This script is provided for informational and educational purposes only. It does not constitute financial advice, investment advice or a solicitation to buy or sell any financial instrument. Trading and investing in financial markets involve significant risk, and you can lose more than your initial investment. Past performance and historical behavior do not guarantee future results. By using Madd Monkey Pro DMCx, you accept full responsibility for your own trading decisions and outcomes. The author is not liable for any loss or damage arising from the use of this script.
Pine Script® indicator
by maddmonkeypro
HoneG_HigeHige067ALT_v4HigeHige V4 is a tool that displays wick ratios for one-touch trading in options. We've added the ability to adjust thresholds individually for each currency and included a right-bottom display for width reference. Try it on any chart you like—whether it's a 1-minute chart or a 15-second chart. ザオプションのワンタッチ取引向けにヒゲ比率を表示するツール ヒゲヒゲV4 です。 通貨毎に個別に閾値を調整する機能を追加し、幅目安の右下表示を追加しました。 1分足チャートでも、15秒足チャートでも、お好きなチャートに適用してお試しください。
Pine Script® indicator
by TVYAMA
Al-Bayan Pro [Visual Overlay] Beta Tester Description: Concept & Methodology Albayan Pro is a specialized mean-reversion system designed to clarify market noise and identify high-probability reversal points. Unlike standard indicators that merely lag behind price, Albayan Pro utilizes a dynamic central baseline—the Albayan Line—to determine the asset's "fair value" in real-time. The strategy is built on the principle that price inevitably returns to its established equilibrium after identifying exhaustion points: The Albayan Line: A volatility-adaptive baseline that anchors the trend. Signal Logic: Buy (Reversal): Generated when price deviates significantly below the Albayan Line (oversold zone), signaling that selling pressure has likely peaked. Sell (Reversal): Generated when price extends significantly above the Albayan Line (overbought zone), indicating a potential pullback. How to Use Albayan Pro This tool is optimized for the timeframe on . Entry: Wait for the specific "Rev Buy" or "Rev Sell" labels. These signals often trigger during volatility spikes; ensure the candle closes to confirm the signal validity. Risk Management: As this is a reversion strategy, stops should be placed below the recent swing low (for buys) or above the swing high (for sells). Exit: The primary target is a return to the Albayan Line, capturing the "snap back" move. Backtest Performance (Internal Data) Based on our analysis of Gold (XAUUSD) price action: Buy Signals demonstrated high reliability, with an ~81% win rate over a 2–4 hour holding period in recent testing. Sell Signals function best as quick scalps or exit warnings for existing long positions. Originality Albayan Pro does not rely on standard RSI or Bollinger Band calculations. It uses a unique, absolute-distance calculation from the proprietary Albayan Line to filter false signals, ensuring you only see alerts when statistical deviation is significant.
Pine Script® indicator
by Ramegy_1
SuperLazyTradeSuperLazyTrade transforms SuperTrend into a professional day-trading system with intelligent quality filtering. Instead of showing every signal, it rates each setup on a 100-point scale analyzing: - Signal Freshness - Catch moves early - Volume Strength - Confirm momentum - VWAP Alignment - Trade with institutions - Volatility Regime - Optimal market conditions - RSI Confirmation - Momentum validation The system blocks 35-40% of low-quality signals automatically, enforcing discipline with clear verdicts: ✅ JUMP (80+) - Best setups ⚡ TRADE (65-79) - Strong entries ⚠️ CAUTION (55-64) - Proceed carefully 🟡 TREND (45-54) - Mid-trend opportunities 🔴 AVOID (0-44) - Skip it Features live P&L tracking, professional 11-row dashboard, and anti-repainting architecture. Perfect for traders who value quality over quantity. ⚠️ DISCLAIMER This indicator does not guarantee profits. Trading involves substantial risk of loss. Past performance is not indicative of future results. Use at your own risk.
Pine Script® indicator
by dmandrey
Cerber Strategy ETH/BTC Cerber Strategy: High-Precision Crypto Trend Follower The Cerber Strategy is a low-frequency, high-conviction trend following system designed to capture massive quarterly crypto moves while filtering out 90% of consolidation noise. It combines a momentum-based "Sniper Entry" (entering only on verified breakouts) with a "Trend Confirmation" filter (Weekly DEMA) to ensure capital is only deployed during macro bull runs. Usage: * Timeframe: Daily (1D) mandatory. * Assets: Optimized for BTC and ETH, works on high-volatility alts. * Style: Position Trading (holding for weeks/months). * Risk: Extremely high efficiency (high Profit Factor), very low drawdown compared to Buy & Hold. Perfect for a "Set and Forget" portfolio allocation.
Pine Script® strategy
by Crypto3888
Bollinger Bands Forecast [QuantAlgo]🟢 Overview Bollinger Bands are widely recognized for mapping volatility boundaries around price action, but they inherently lag behind market movement since they calculate based on completed bars. The Bollinger Bands Forecast addresses this limitation by adding a predictive layer that attempts to project where the upper band, lower band, and basis line might position in the future. The indicator provides three unique analytical models for generating these projections: one examines swing structure and breakout patterns, another integrates volume flow and accumulation metrics, while the third applies statistical trend fitting. Traders can select whichever methodology aligns with their market view or trading style to gain visibility into potential future volatility zones that could inform position planning, risk management, and timing decisions across various asset classes and timeframes. 🟢 How It Works The core calculation begins with traditional Bollinger Bands: a moving average basis line (configurable as SMA, EMA, SMMA/RMA, WMA, or VWMA) with upper and lower bands positioned at a specified number of standard deviations away. The forecasting extension works by first generating predicted price values for upcoming bars using the selected method. These projected prices then feed into a rolling calculation that simulates how the basis line would update bar by bar, respecting the mathematical properties of the chosen moving average type. As each new forecasted price enters the calculation window, the oldest historical price drops out, mimicking the natural progression of the moving average. The system recalculates standard deviation across this evolving price window and applies the multiplier to determine where upper and lower bands would theoretically sit. This process repeats for each of the forecasted bars, creating a connected chain of potential future band positions that render as dashed lines on the chart. 🟢 Key Features 1. Market Structure Model This forecasting approach interprets price through the lens of swing analysis and structural patterns. The algorithm identifies pivot highs and lows across a definable lookback window, then tracks whether price is forming higher highs and higher lows (bullish structure) or lower highs and lower lows (bearish structure). The system looks for break of structure (BOS) when price pushes beyond a previous swing point in the trending direction, or change of character (CHoCH) when price starts creating opposing swing patterns. When projecting future prices, the model considers current distance from recent swing levels and the strength of the established trend (measured by counting higher highs versus lower lows). If bullish structure dominates and price sits near a swing low, the forecast biases upward. Conversely, bearish structure near a swing high produces downward bias. ATR scaling ensures the projection magnitude relates to actual market volatility. Practical Implications for Traders: Useful when you trade based on swing points and structural breaks The Structure Influence slider (0 to 1) lets you dial in how much weight structure analysis carries versus pure trend Helps visualize where bands could form around key structural levels you're watching Works better in trending conditions where structure patterns are clearer Might be less effective in choppy, sideways markets without defined swings 2. Volume-Weighted Model This method attempts to incorporate volume flow into the price forecast. It combines three volume-based metrics: On-Balance Volume (OBV) to track cumulative buying/selling pressure, the Accumulation/Distribution Line to measure money flow, and volume-weighted price changes to emphasize moves that occur on high volume. The algorithm calculates the slope of these indicators to determine if volume is confirming price direction or diverging from it. Volume spikes above a configurable threshold are flagged as potentially significant, with the direction of the spike (whether it occurred on an up bar or down bar) influencing the forecast. When OBV, A/D Line, and volume momentum all align in the same direction, the model projects stronger moves. When they conflict or show weak volume support, the forecast becomes more conservative. Practical Implications for Traders: Relevant if you use volume analysis to confirm price moves More meaningful in markets with reliable volume data The Volume Influence parameter (0 to 1) controls how much volume factors into the projection Volume Spike Threshold adjusts sensitivity to what constitutes unusual volume Helps spot scenarios where volume doesn't support a move, suggesting possible consolidation Might be less effective in low-liquidity instruments or markets where volume reporting is unreliable 3. Linear Regression Model The simplest of the three methods, linear regression fits a straight line through recent price data using least-squares mathematics and extends that line forward. This creates a clean trend projection without conditional logic or interpretation of market characteristics. The forecast simply asks: if the recent trend continues at its current rate of change, where would price be in 10 or 20 bars? Practical Implications for traders: Provides a neutral, mathematical baseline for comparison Works well when trends are steady and consistent Can be useful for backtesting since results are deterministic Requires minimal configuration beyond lookback period Might not adapt to changing market conditions as dynamically as the other methods Best suited for trending markets rather than ranging or volatile conditions 🟢 Universal Applications Across All Models Regardless of which forecasting method you select, the indicator projects future Bollinger Band positions that may help with: ▶ Pre-planning entries and exits: See where potential support (lower band) or resistance (upper band) might develop before price gets there ▶ Volatility context: Observe whether forecasted bands are widening (suggesting potential volatility expansion) or narrowing (possible compression or squeeze setup) ▶ Target setting: Reference projected band levels when determining profit targets or stop placement ▶ Mean reversion scenarios: Visualize potential paths back toward the basis line when price extends to a band extreme ▶ Breakout anticipation: Consider where upper or lower bands might sit if price begins a strong directional move ▶ Strategy development: Build trading rules around forecasted band interactions, such as entering when price is projected to return to the basis or exit when forecasts show band expansion ▶ Method comparison: Switch between the three forecasting models to see if they agree or diverge, potentially using consensus as a confidence filter It's critical to understand that these forecasts are projections based on recent market behavior. Markets are complex systems influenced by countless factors that cannot be captured in a technical calculation or predicted perfectly. The forecasted bands represent one possible scenario of how volatility might unfold, so actual price action may still diverge from these projections. Past performance and historical patterns provide no assurance of future results. Use these forecasts as one input within a broader trading framework that includes proper risk management, position sizing, and multiple forms of analysis. The value lies not in prediction accuracy but in helping you think probabilistically about potential market states and plan accordingly.
Pine Script® indicator
by QuantAlgo
1
Volume Crisis Created by Alphaomega18 🎯 What is the Crisis Detector Pro? The Crisis Detector Pro is an advanced multi-component indicator that detects market crisis situations by simultaneously analyzing: Volume: Anomalies and volume spikes VIX: Volatility Index (S&P 500) ATR: True volatility (all assets) Open Interest: Estimated open interest (futures contracts) The indicator calculates a Composite Crisis Score (0-100) that combines these elements to alert you to critical market moments. 📊 Indicator Components 1️⃣ Volume Analysis Anomaly detection: Compares current volume to its moving average Classification: 🟡 Moderate: 1.5x - 2x average 🟠 High: 2x - 3x average 🔴 Extreme: > 3x average Bollinger Bands: Detects volume breakouts Clusters: Identifies 3+ consecutive days of anomalies 2️⃣ VIX (Fear Index) S&P 500 only Default thresholds: 🟡 Moderate: VIX > 20 🟠 High: VIX > 30 🔴 Extreme: VIX > 40 3️⃣ ATR (Average True Range) Measures true volatility Compatible with all assets (stocks, futures, forex, crypto) Compares current ATR to its average 4️⃣ Open Interest (OI) Estimation based on Volume / 2 Detects changes > 25% Inverted colors: 🔴 Red: OI increase (new positions) 🟢 Green: OI decrease (position closing) ⚙️ Main Parameters Calculations: Moving Average Period: 20 (default) Standard Deviation Period: 20 ATR Period: 14 Volume Thresholds: Moderate: 1.5x High: 2.0x Extreme: 3.0x Composite Score (Weights): Volume: 35% VIX: 25% ATR: 20% Open Interest: 20% 📈 Visual Signals Top of Chart: 🟡 Yellow triangle: Moderate alert (Score 50-70) 🟠 Orange triangle: High alert (Score 70-85) 🔴 Red triangle: EXTREME CRISIS (Score 85-100) ⚠️ Purple cross: Reinforced signal (Volume + Volatility simultaneous) Bottom of Chart: 💎 Purple diamond: 50-day volume record ⬛ Fuchsia square: Cluster (3+ abnormal days) Volume Bars: Gray: Normal volume 🟡 Yellow: Moderate volume 🟠 Orange: High volume 🔴 Red: Extreme volume Open Interest Curve: 🔵 Blue: Normal variation 🔴 Red: Increase > 25% 🟢 Green: Decrease > 25% 🎯 How to Use the Indicator 1. Initial Setup For S&P 500 / US Indices: Enable VIX ✅ Enable ATR ✅ Enable OI ✅ Composite Score ✅ For Other Assets (Forex, Crypto, Stocks): Disable VIX ❌ Enable ATR ✅ Enable OI (optional) Composite Score ✅ 2. Crisis Score Interpretation ScoreLevelMeaningAction0-50Normal ✅Calm marketNormal trading50-70Vigilance 🟡Volatility risingIncreased monitoring70-85Danger 🟠Critical situationReduce exposure85-100Crisis 🔴MAXIMUM ALERTCapital protection 3. Trading Strategies Directional Trading: Reinforced signal ⚠️ = Powerful move in progress Enter in direction of movement with confirmation Tight stops, quick targets Risk Management: Score > 70 → Reduce position size by 50% Score > 85 → Stop trading or ultra-short positions Cluster detected → Avoid new trades Scalping/Day Trading: Extreme volume 🔴 = Scalping opportunities Wait for confirmation before entering Exit quickly on spikes Swing Trading: Avoid opening swings during crises Protect existing positions (trailing stops) Wait for return to normal (Score < 50) 4. Open Interest (Futures): OI Increase (🔴 Red): New positions opened Strong market conviction Movement may intensify OI Decrease (🟢 Green): Position closing Profit-taking or stop losses Possible reversal 🔔 Configurable Alerts The indicator includes 8 types of alerts: 🟡 Moderate Crisis Alert: Score 50-70 🟠 HIGH Crisis ALERT: Score 70-85 🔴 MAJOR CRISIS: Score 85-100 ⚠️ REINFORCED SIGNAL: Extreme Volume + Volatility simultaneous 💎 RECORD Volume: Highest volume over 50 days 📊 Cluster DETECTED: 3+ consecutive abnormal days 📈 OI SPIKE >25%: Sharp Open Interest increase 📉 OI DECLINE >25%: Sharp Open Interest decrease Setup: Right-click on chart → "Add Alert" → Select alert 💡 Optimization Tips Scalping (1-5min): MA Period: 10-15 Moderate Threshold: 1.3x High Threshold: 1.8x Volume Weight: 50% Day Trading (15min-1H): MA Period: 20 (default) Thresholds: Default Composite Score: Enabled Swing Trading (4H-Daily): MA Period: 30-50 StdDev Multiplier: 2.5 ATR Period: 20 Volatile Markets (Crypto): Moderate Threshold: 1.8x High Threshold: 2.5x Extreme Threshold: 4.0x ATR Weight: 30% 📊 Statistics Table The real-time table displays: Crisis Score: 0-100 with color coding Current volume: Value and ratio Volume Score: Contribution to total score Open Interest: Estimated value and % change VIX: Current value (if enabled) ATR: Ratio to average Global STATUS: Normal ✅ / Vigilance 🟡 / Danger 🟠 / Crisis 🔴 ⚠️ Warnings and Limitations ❌ Limitations: Open Interest is estimated (Volume / 2), not real value VIX only works for S&P 500 False signals possible in very volatile markets ✅ Best Practices: Always combine with classic technical analysis Never trade solely on alerts Adapt thresholds to your asset and timeframe Backtest before using live Respect your risk management plan 🎓 Real Use Cases Example 1: Flash Crash Extreme volume 🔴 + Extreme ATR 🔴 + Reinforced signal ⚠️ Composite score > 90 Action: No new trades, protect existing positions Example 2: Fed Announcement VIX > 35 + Moderate volume 🟡 + OI rising 🔴 Composite score: 65 Action: Reduce position size, widen stops Example 3: Volatility Squeeze Cluster detected + Volume record 💎 + OI declining 🟢 Action: Scalping opportunity in breakout direction 📈 Performance Real-time detection (0 lag) Compatible all markets and timeframes Low resource consumption Complete history preserved
Pine Script® indicator
by Alphaomega18
StrategyScript77 Is a rule-based strategy built on top of an Ichimoku based engine. Ichimoku concepts are used as the backbone for trend and momentum filtering, so the strategy tends to stay on the side of the dominant move instead of fighting it. The name “Super77” comes from the behavior I consistently observed in testing because the win rate tends to hover around the 70–80% range, often clustering around ~77% when used as intended. It’s not a promise or guarantee, but it reflects the core design philosophy: frequent, relatively small but steady wins, with controlled and manageable losses. Trading Style – Built for Conservative Traders Super77 is intentionally designed for traders who prefer a conservative and calm approach: Entries only at bar close The strategy waits for bar close confirmation before entering a position. No intrabar guessing, no chasing half-formed signals. If the signal is still valid at close, only then will it enter. Exits automated on bar close Exits are also managed on bar close, which makes the logic transparent, easy to review on the chart, and more robust in backtesting compared to tick-based or intrabar hacks. Semi-auto friendly If you like to keep some discretion, you can treat it as semi-automatic: Let the strategy generate entry signals Manually cancel or skip certain trades if market context changes (news, extreme volatility, etc.) This combination makes Super77 suitable for traders who don’t want to stare at the screen all day but still want structure and automation. How to Use Works best with bar-close execution (avoid trying to simulate intrabar fills if you want consistent behavior). Designed for conservative, trend-aligned trading, not for hyper-scalping or news gambling. Can be used as: Fully automated (let all entries/exits trigger on bar close), or Semi-automated (use alerts/signals but manually cancel some entries). Step-by-Step: Automation with Cornix (Webhook Setup) You can automate Super77 using Cornix by connecting TradingView alerts to your Cornix group via webhook. Note: Exact button names may differ slightly depending on Cornix / TradingView updates, but the flow is always the same: Cornix group → get webhook URL & mapping → TradingView alerts → signals sent to Cornix. (Optional) Map specific pairs / directions If you use UUID / signal mapping per symbol and per side (long/short), set them up in Cornix according to your own template. Super77 can be used either: On a single pair (simple setup), or On multiple pairs if your alert / webhook structure supports that. So you can pick many pairs with 1 script. Final Notes & Disclaimer Super77 is an educational and experimental trading tool, not financial advice. Past performance in back tests does not guarantee future results. Always: Test on demo or paper first Adjust risk to match your own profile Accept that losses and drawdowns are a natural part of any strategy If you’re looking for a strategy that reflects a conservative, confirmation-based trading style with a focus on steady win rate and smoother equity behavior, Super77 was built exactly with that mindset in mind.
Pine Script® strategy
by Gui-YW
Volatility Value BandsThis indicator is a modern adaptation of Mark Helweg's original Value Charts concept, focused on visually displaying volatility zones and "extreme value" areas directly on the price chart. It does not replicate the original work but draws inspiration from the logic of normalizing price by volatility to highlight statistically stretched regions. 1. Introduction This study displays three lines directly on the chart: - a central reference line (base), - an upper overvaluation band, - and a lower undervaluation band. The bands are calculated from the relationship between price, moving average, and volatility (via true range/ATR), following Mark Helweg's Value Charts concept but with a custom implementation and adjustable parameters for different assets and timeframes. This allows objectively visualizing when price is in a statistically extended region relative to its recent behavior. 2. Key Features - Volatility-normalized base The indicator converts price deviation into "value units" using a combination of moving average and smoothed volatility (true range/ATR), making levels comparable across different assets and time horizons. - Auto-adjusting limits (optional) An automatic mode can calculate upper and lower limits from recent value unit extremes, using a configurable sampling window and percentile, allowing bands to adapt to the current volatility regime without manual recalibration. - Direct plot on price chart The three lines (central, upper, and lower) are drawn directly on the main asset chart (`overlay`), making it easy to read context: it's clear when price "touches" or breaks the volatility bands without switching to a separate pane. - Flexible parameters Users can control: - base moving average period (length) - volatility factor (manual or automatic) - independent windows for volatility and limits calculation - limits mode (auto or manual) and percentile used This allows adapting behavior to different markets (stocks, indices, forex, crypto). 3. How to Use - Basic interpretation - When price approaches or exceeds the upper band, it indicates a statistically overvalued zone where the asset is stretched upward relative to recent volatility. - When price approaches or exceeds the lower band, it indicates a statistically undervalued zone. - The central line serves as a reference for recent "average value," derived from the base moving average. - Recommended initial setup - Choose the Value Chart period (e.g., 144 bars) for the base. - Enable automatic limits mode for coherent bands matching the asset's volatility. - Adjust the limits window and percentile for tighter bands (more signals) or wider bands (fewer but more extreme). - Best practices - Use bands as context filters, not standalone buy/sell signals. Combine with trend, market structure, or other confirmation indicators. - Avoid decisions solely because price touched a band; in strong trends, price can "walk the edge" for extended periods. - Always follow TradingView community rules when publishing: clearly state in the description that the study is "inspired by Mark Helweg's Value Charts concept," without claiming official status, reproducing proprietary code, or violating copyrights.
Pine Script® indicator
by destrobr0685
IV vs Realised Volatility (VIX/HV Comparator)VIX / HV Comparator – Implied vs Realised Volatility This indicator compares Implied Volatility (IV) from a volatility index (VIX, India VIX, etc.) with the Realised / Historical Volatility (HV) of the current chart symbol. It helps you see whether options are pricing volatility as rich or cheap relative to what the underlying is actually doing. What it does Pulls IV from any user-selected vol index symbol (e.g. CBOE:VIX for SPX, NSEINDIA:INDIAVIX for Nifty). Calculates realised volatility from the chart’s price data using returns over a user-defined lookback. Annualises HV so IV and HV are displayed on the same percentage scale, on any timeframe (intraday or higher). Optionally shows an IV/HV ratio in a separate pane to highlight when options are rich or cheap relative to realised volatility. How to read it Main panel: Orange line – Implied Volatility (IV) from your chosen vol index. Aqua line – Realised / Historical Volatility (HV) of the current chart symbol. Fill between lines: Green shading -> IV > HV -> options are priced richer than what the underlying is currently realising. Red shading -> HV > IV -> realised vol is higher than the options market is implying. Sub-panel (optional): IV / HV ratio - Above 1 -> IV > HV (vol rich). - Below 1 -> IV < HV (vol cheap). - Horizontal guides (for example 1.2 / 0.8) help frame “significantly rich/cheap” zones. A small label on the latest bar displays the current IV, HV and their difference in vol points. Inputs (key ones) IV Index Symbol – choose the volatility index that corresponds to your underlying (VIX, India VIX, etc.). Realised Vol Lookback – number of bars used to compute HV (for example 20). Trading Days per Year and Active Hours per Day – used for annualising HV so it stays consistent across timeframes. IV Scale Factor – adjust if your IV index is quoted in decimals (0.15) instead of points (15). Practical uses Context for options trades – Quickly see if current IV is high or low relative to realised volatility when deciding on strategies (premium selling vs buying, spreads, hedges). Vol regime analysis – Track shifts where HV starts to rise above IV (real stress building) or IV spikes far above HV (fear premium / insurance bid). Cross-timeframe checks – Use on intraday charts for short-term trading context, or on daily/weekly charts for bigger picture vol regimes. This tool is not a stand-alone signal generator. It is meant to be a volatility dashboard you combine with your usual price action, trend, and options strategy rules to understand how the options market is pricing risk vs what the underlying is actually delivering.
Pine Script® indicator
by amitlall
Institutional Equity DashboardAn overlay indicator with everything you need: Trend Ribbon - 8/21/50/200 EMA cloud with bullish/bearish fill VWAP + Bands - The institutional benchmark with deviation bands Auto S/R Detection - Pivot-based support/resistance levels ATR-Based Stops - Dynamic stop-loss levels that adjust to volatility Confluence Signals - Multi-factor buy/sell signals (regular + strong) Real-Time Dashboard showing: Market regime (Strong Uptrend → Strong Downtrend) Trend score (0-100) RSI, MACD, Stochastic status Volume ratio and VWAP position Risk metrics (ATR%, Historical Vol, Risk Level) Relative strength vs. benchmark
Pine Script® indicator
by bitzuist
Elliott Wave Full Fractal System v2.0Elliott Wave Full Fractal System v2.0 – Q.C. FINAL (Guaranteed R/R) Elliott Wave Full Fractal System is a multi-timeframe wave engine that automatically labels Elliott impulses and ABC corrections, then builds a rule-based, ATR-driven risk/reward framework around the “W3–W4–W5” leg. “Guaranteed R/R” here means every order is placed with a predefined stop-loss and take-profit that respect a minimum Reward:Risk ratio – it does not mean guaranteed profits. Core Idea This strategy turns a full fractal Elliott Wave labelling engine into a systematic trading model. It scans fractal pivots on three wave degrees (Primary, Intermediate, Minor) to detect 5-wave impulses and ABC corrections. A separate “Trading Degree” pivot stream, filtered by a 200-EMA trend filter and ATR-based dynamic pivots, is then used to find W4 pullback entries with a minimum, user-defined Reward:Risk ratio. Default Properties & Risk Assumptions The backtest uses realistic but conservative defaults: // Default properties used for backtesting strategy( "Elliott Wave Full Fractal System - Q.C. FINAL (Guaranteed R/R)", overlay = true, initial_capital = 10000, // realistic account size default_qty_type = strategy.percent_of_equity, default_qty_value = 1, // 1% risk per trade commission_type = strategy.commission.cash_per_contract, commission_value = 0.005, // example stock commission slippage = 0 // see notes below ) Account size: 10,000 (can be changed to match your own account). Position sizing: 1% of equity per trade to keep risk per idea sustainable and aligned with TradingView’s recommendations. Commission: 0.005 cash per contract/share as a realistic example for stock trading. Slippage: set to 0 in code for clarity of “pure logic” backtesting. Real-life trading will experience slippage, so users should adjust this according to their market and broker. Always re-run the backtest after changing any of these values, and avoid using high risk fractions (5–10%+) as that is rarely sustainable. 1. Full Fractal Wave Engine The script builds and maintains four pivot streams using ATR-adaptive fractals: Primary Degree (Macro Trend): Captures the large swings that define the major trend. Labels ①–⑤ and ⒶⒷⒸ using blue “Circle” labels and thicker lines. Intermediate Degree (Trading Degree): Captures the medium swings (swing-trading horizon). Uses teal labels ( (1)…(5), (A)(B)(C) ). Minor Degree (Micro Structure): Tracks short-term swings inside the larger waves. Uses red roman numerals (i…v, a b c). ABC Corrections (Optional): When enabled, the engine tries to detect standard A–B–C corrective structures that follow a completed 5-wave impulse and plots them with dashed lines. Each degree uses a dynamic pivot lookback that expands when ATR is above its EMA, so the system naturally requires “stronger” pivots in volatile environments and reacts faster in quiet conditions. 2. Theory Rules & Strict Mode Normal Mode: More permissive detection. Designed to show more wave structures for educational / exploratory use. Strict Mode: Enforces key Elliott constraints: Wave 3 not shorter than waves 1 and 5. No invalid W4 overlap with W1 (for standard impulses). ABC Logic: After a confirmed bullish impulse, the script expects a down-up-down corrective pattern (A,B,C). After a bearish impulse, it looks for up-down-up. 3. Trend Filter & Pivots EMA Trend Filter: A configurable EMA (default 200) is used as a non-wave trend filter. Price above EMA → Only long setups are considered. Price below EMA → Only short setups are considered. ATR-Adaptive Pivots: The pivot engine scales its left/right bars based on current ATR vs ATR EMA, making waves and trading pivots more robust in volatile regimes. 4. Dynamic Risk Management (Guaranteed R/R Engine) The trading engine is designed around risk, not just pattern recognition: ATR-Based Stop: Stop-loss is placed at: Entry ± ATR × Multiplier (user-configurable, default 2.0). This anchors risk to current volatility. Minimum Reward:Risk Ratio: For each setup, the script: Computes the distance from entry to stop (risk). Projects a take-profit target at risk × min_rr_ratio away from entry. Only accepts the setup if risk is positive and the required R:R ratio is achievable. Result: Every order is created with both TP and SL at a predefined distance, so each trade starts with a known, minimum Reward:Risk profile by design. “Guaranteed R/R” refers exclusively to this order placement logic (TP/SL geometry), not to win-rate or profitability. 5. Trading Logic – W3–W4–W5 Pattern The Trading pivot stream (separate from visual wave degrees) looks for a simple but powerful pattern: Bullish structure: Sequence of pivots forms a higher-high / higher-low pattern. Price is above the EMA trend filter. A strong “W3” leg is confirmed with structure rules (optionally stricter in Strict mode). Entry (Long – W4 Pullback): The “height” of W3 is measured. Entry is placed at a configurable Fibonacci pullback (default 50%) inside that leg. ATR-based stop is placed below entry. Take-profit is projected to satisfy min Reward:Risk. Bearish structure: Mirrored logic (lower highs/lows, price below EMA, W3 down, W4 retrace up, W5 continuation down). Once a valid setup is found, the script draws a colored box around the entry zone and a label describing the type of signal (“LONG SETUP” or “SHORT SETUP”) with the suggested limit price. 6. Orders & Execution Entry Orders: The strategy uses limit orders at the computed W4 level (“Sniper Long” or “Sniper Short”). Exits: A single strategy.exit() is attached to each entry with: Take-profit at the projected minimum R:R target. Stop-loss at ATR-based level. One Trade at a Time: New setups are only used when there is no open position (strategy.opentrades == 0) to keep the logic clear and risk contained. 7. Visual Guide on the Chart Wave Labels: Primary: ①,②,③,④,⑤, ⒶⒷⒸ Intermediate: (1)…(5), (A)(B)(C) Minor: i…v, a b c Trend EMA: Single blue EMA showing the dominant trend. Setup Boxes: Green transparent box → long entry zone. Red transparent box → short entry zone. Labels: “LONG SETUP / SHORT SETUP” labels mark the proposed limit entry with price. 8. How to Use This Strategy Attach the strategy to your chart Choose your market (stocks, indices, FX, crypto, futures, etc.) and timeframe (for example 1h, 4h, or Daily). Then add the strategy to the chart from your Scripts list. Start with the default settings Leave all inputs on their defaults first. This lets you see the “intended” behaviour and the exact properties used for the published backtest (account size, 1% risk, commission, etc.). Study the wave map Zoom in and out and look at the three wave degrees: Blue circles → Primary degree (big picture trend). Teal (1)…(5) → Intermediate degree (swing structure). Red i…v → Minor degree (micro waves). Use this to understand how the engine is interpreting the Elliott structure on your symbol. Watch for valid setups Look for the coloured boxes and labels: Green box + “LONG SETUP” label → potential W4 pullback long in an uptrend. Red box + “SHORT SETUP” label → potential W4 pullback short in a downtrend. Only trades in the direction of the EMA trend filter are allowed by the strategy. Check the Reward:Risk of each idea For each setup, inspect: Limit entry price. ATR-based stop level. Projected take-profit level. Make sure the minimum Reward:Risk ratio matches your own rules before you consider trading it. Backtest and evaluate Open the Strategy Tester: Verify you have a decent sample size (ideally 100+ trades). Check drawdowns, average trade, win-rate and R:R distribution. Change markets and timeframes to see where the logic behaves best. Adapt to your own risk profile If you plan to use it live: Set Initial Capital to your real account size. Adjust default_qty_value to a risk level you are comfortable with (often 0.5–2% per trade). Set commission and slippage to realistic broker values. Re-run the backtest after every major change. Use as a framework, not a signal machine Treat this as a structured Elliott/R:R framework: Filter signals by higher-timeframe trend, major S/R, volume, or fundamentals. Optionally hide some wave degrees or ABC labels if you want a cleaner chart. Combine the system’s structure with your own trade management and discretion. Best Practices & Limitations This is an approximate Elliott Wave engine based on fractal pivots. It does not replace a full discretionary Elliott analysis. All wave counts are algorithmic and can differ from a manual analyst’s interpretation. Like any backtest, results depend heavily on: Symbol and timeframe. Sample size (more trades are better). Realistic commission/slippage settings. The 0-slippage default is chosen only to show the “raw logic”. In real markets, slippage can significantly impact performance. No strategy wins all the time. Losing streaks and drawdowns will still occur even with a strict R:R framework. Disclaimer This script is for educational and research purposes only and does not constitute financial advice or a recommendation to buy or sell any security. Past performance, whether real or simulated, is not indicative of future results. Always test on multiple symbols/timeframes, use conservative risk, and consult your financial advisor before trading live capital.
Pine Script® strategy
by mbedaiwi2