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UMA Scalping Level 2025UMA Scalping Level 2025は、「直近で市場が意識している高値・安値ライン」と 「短期トレンドの勢い（EMAクロス）」を同時に捉えるスキャルピング特化型インジケーターです。 "UMA Scalping Level 2025" is a scalping-focused indicator that simultaneously captures the recent key swing highs and lows that the market is reacting to, and the short-term momentum identified by EMA crossovers.
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fxdeuma tarafından
Liquidity Radar by DGTLiquidity Radar is an advanced indicator designed to uncover and visualize critical liquidity zones on the price chart. These zones mark areas where stop orders and limit orders are densely concentrated—price levels where large-scale liquidation events are more likely to occur. Such areas are often targeted by institutional players to spark volatility or to optimize trade execution. The indicator dynamically draws horizontal levels that reflect real-time liquidity buildup based on volume and price activity. When multiple liquidation levels cluster near the same price, overlapping lines highlight zones of elevated liquidity—helping traders identify potential hotspots for price reactions, reversals, or volatility spikes. KEY FEATURES ⯌ Magnet Zones Clusters of liquidation levels may act as magnets for price, pulling market movement toward them. Traders often use these zones to forecast directional bias and identify high-probability setups. ⯌ Support/Resistance Zones Densely packed liquidity often behaves as dynamic support or resistance. These zones can provide major players with optimal entry or exit points, potentially leading to sharp reactions or market reversals. ⯌ Rapid Move Zones Areas with sparse liquidity levels often experience faster price movement, as fewer resting orders are available to absorb aggressive taker orders. These zones can lead to quick price sweeps and momentum surges. INSIGHTS What Happens After Price Reaches a High Liquidity Zone? Liquidity is "Grabbed" These zones are typically filled with stop-losses or resting orders. When price reaches them, large volumes are executed — often suddenly. This is known as a liquidity grab or stop hunt . Increased Volatility The execution of clustered orders often triggers bursts of volatility. This can result in large wicks, rapid price movements, or deceptive “fakeouts” around the zone. Price Reaction Scenarios Stall or Consolidation : After liquidity is grabbed, price may pause or range, especially if market participants are indecisive. Reversal : If the liquidity grab flushes out weak hands, price may reverse sharply — often where institutional players are already positioned in the opposite direction. Continuation : Sometimes, the zone acts as a launchpad — price consumes the liquidity and continues strongly in the same direction. What Happens When Price Is Between Liquidity Zones? Faster Price Moves In areas with fewer clustered liquidity levels, price often moves quicker due to fewer resting orders absorbing aggressive taker orders, enabling market orders to push price rapidly through these zones. Higher Probability of Market (Taker) Orders Sparse liquidity encourages taker orders, which “take” liquidity instantly, causing sharp and sometimes unpredictable price swings. Reduced Support or Resistance The lack of dense liquidity means fewer natural price barriers, allowing price to sweep through these zones with less friction until it nears the next liquidity cluster. Increased Volatility and Potential Whipsaws Rapid movement in low liquidity zones can trigger stop losses or cause fakeouts, resulting in sudden volatility and quick reversals. Opportunity for Breakouts or Trend Acceleration Price breaking from a liquidity zone into a sparse area may gain momentum quickly, leading to strong directional moves or trend continuation. Liquidity zones aren’t just price targets — they’re high-stakes decision points. Once tapped, they often serve as temporary barriers where price may reverse, stall, or continue, depending on the prevailing order flow and participant intent. In leveraged markets, liquidations play a crucial role in shaping price behavior and positioning. The Liquidity Levels indicator helps traders spot where these impactful moments are most likely to occur — enhancing both strategic edge and decision-making confidence. LIMITATIONS Due to a technical limitation in Pine Script, a maximum of 500 horizontal levels can be drawn. As a result, some historical liquidity levels from earlier bars may not appear on the chart. DISCLAIMER This script is intended for informational and educational purposes only. It does not constitute financial, investment, or trading advice. All trading decisions made based on its output are solely the responsibility of the user.
Pine Script® göstergesiÜcretli komut dosyası
dgtrd tarafından
2
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.
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MarkitTick tarafından
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.
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hknyrgnc tarafından
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
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Fusion_Predictor tarafından
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® göstergesi
Fusion_Predictor tarafından
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® göstergesi
rmaniyarasan1982 tarafından
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.
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maddmonkeypro tarafından
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。
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TVYAMA tarafından
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.
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Ramegy_1 tarafından
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® göstergesi
dmandrey tarafından
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® göstergesi
QuantAlgo tarafından
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® göstergesi
Alphaomega18 tarafından
FF calculation Saptarshi ChatterjeeForward factor (in options contexts) measures implied volatility (IV) for a future period between two expirations, like from 30 DTE (days to expiry) front-month to 60 DTE back-month options. This indicator calculates the FORWARD FACTOR(FF) using 2 IVs of 2 DTEs. +ve value means front DTE is rich in premium and back expiry is cheap. -ve value means front DTE IV is cheap and 2nd DTE is expensive we can use this term structure disbalance to trade calendar spreads with edge.
Pine Script® göstergesi
sapc1992 tarafından
1
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.
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destrobr0685 tarafından
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.
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amitlall tarafından
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
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bitzuist tarafından
VCAI MACD LiteVCAI MACD Lite is a clean, modern version of the classic MACD oscillator, rebuilt with selectable EMA/SMA types and a 2-tone histogram using VCAI’s visual style. It keeps the indicator lightweight and easy to read while giving clearer momentum shifts through rising/falling histogram colour changes. What it does Calculates MACD using your choice of EMA or SMA Plots signal line and histogram with 2-tone VCAI colours Highlights changes in momentum strength as histogram bars rise or fade Works on any market and timeframe How to use it Expanding yellow bars reflect strengthening upside momentum; dim yellow shows fading strength. Darker and lighter VCAI purple tones show momentum behaviour below zero, helping you see when bearish pressure is increasing or weakening. Part of the VCAI Lite Series — clean, minimal tools.
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Vectorcoresai tarafından