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RSI + Stoch + BBP Adaptive Market ModeTitle RSI + Stoch + BBP Adaptive Signals (Market Mode + Manual Control) Description This script combines RSI, Stochastic, and Bull/Bear Power (BBP) into a structured signal system with adaptive aggression modes and optional market mode detection. It is designed to provide consistent entries while allowing flexible risk and profit management depending on market conditions. 🔧 Key Features Multi-indicator confluence RSI for directional bias Stochastic for timing BBP for momentum confirmation Aggression Modes Manual → fully user-defined thresholds Conservative / Balanced / Aggressive → preset signal sensitivity Automatic Market Mode Detection (optional) Identifies trending vs ranging conditions using ADX and RSI Adjusts behavior of filters accordingly Built-in Risk Management ATR-based stop loss 3 configurable take-profit levels (RR-based) Structure Awareness Uses pivot-based support and resistance Optional filtering based on proximity to key levels Visual Trade Mapping Entry, Stop Loss, and TP levels projected on chart Optional labels and price tags Compact Dashboard Displays key live values: RSI / Stoch Market mode Trend direction Aggression mode Last signal 📊 How to Use Default setup: → Use Balanced mode for consistent signals Fine-tuning: → Switch to Manual mode to adjust RSI/Stoch thresholds → Adjust TP levels based on volatility and market structure Market conditions: In ranging markets → tighter TP levels may perform better In trending markets → extended TP levels may capture more move ⚠️ Notes This script provides signals and trade levels, not automated execution Performance will vary depending on market conditions and asset Best used as part of a broader trading plan and confirmation process 💡 Tip A stable approach is to keep entries consistent (e.g., Balanced mode) and adjust take-profit levels to better fit current market behavior. Tags RSI Stochastic BBP Adaptive Market Structure ATR Trading Strategy Technical Analysis
Pine Script® indicator
by kbuitendach
MLLibLibrary "MLLib" Machine Learning Library - Adaptive learning algorithms for parameter optimization f_kirschenbaum_sgd(feature_z, baseline_ma, baseline_dev, pivot_high, pivot_low, sensitivity_current, learning_rate, sensitivity_min, sensitivity_max, coupling_strength, coupling_gate, pivot_lookback, proximity_pct, survival_prob)   Pivot-based SGD for adaptive sensitivity tuning (Kirschenbaum method)   Parameters:      feature_z (float) : Z-score of the predictive feature (e.g., basket vector)      baseline_ma (float) : Baseline moving average (center line)      baseline_dev (float) : Standard deviation for band calculation      pivot_high (float) : Recent pivot high price (na if none)      pivot_low (float) : Recent pivot low price (na if none)      sensitivity_current (float) : Current sensitivity parameter value      learning_rate (float) : Learning rate for SGD updates      sensitivity_min (float) : Minimum allowed sensitivity value      sensitivity_max (float) : Maximum allowed sensitivity value      coupling_strength (float) : Coupling strength for gating updates (0-1)      coupling_gate (float) : Minimum coupling threshold for updates      pivot_lookback (int) : Lookback period to historical feature/price at pivot      proximity_pct (float) : Proximity threshold (0-1) for pivot to be "near band"      survival_prob (float) : Survival probability for band calculation (e.g., 0.68 for 1-sigma)   Returns: Updated sensitivity and number of updates performed f_sgd_update(param_current, gradient, learning_rate, param_min, param_max, gate_strength, gate_threshold)   Generic SGD parameter update with optional gating   Parameters:      param_current (float) : Current parameter value      gradient (float) : Gradient (error * feature)      learning_rate (float) : Learning rate      param_min (float) : Minimum parameter value      param_max (float) : Maximum parameter value      gate_strength (float) : Gating strength (0-1, optional)      gate_threshold (float) : Minimum gate strength to allow full update   Returns: float Updated parameter value SGDState   SGD learning state for tracking parameter updates   Fields:      param (series float) : Current parameter value      updates (series int) : Number of updates performed      last_error (series float) : Last prediction error
Pine Script® library
by cybermediaboy
Dealing Range with Last SwingsTitle: Dealing Range Indicator – High/Low Zones & Midline Equilibrium Description: The Dealing Range Indicator is a versatile tool for traders who want to quickly visualize key price zones where buyers and sellers are actively clashing. By automatically identifying recent highs, lows, and midline equilibrium levels, this indicator helps you spot areas of consolidation, accumulation, and potential breakout zones on any timeframe. Key Features: Dynamic High & Low Lines: The indicator calculates the highest and lowest prices over a user-defined lookback period, plotting them as clear resistance and support zones. Midline Equilibrium: Optionally displays the midpoint of the range, often acting as a magnet for price during consolidation periods. Range Highlighting: Gray background visually marks when price is trading within the range, making it easier to see periods of sideways movement. Customizable Settings: Adjust the lookback period, choose whether to show the midline, and extend lines to the right for better visibility. How to Use: Inside the Range: Price trading between high and low lines indicates consolidation. Traders may wait for breakouts before entering positions. Breakouts: Price moving above the high line may signal a bullish move; below the low line may indicate bearish momentum. Midline Interaction: The midline often acts as a pivot point, helping traders plan entries, exits, or partial profit-taking. Why Traders Love It: Quickly identifies key market zones without cluttering the chart. Helps visualize potential breakout areas and avoid false entries. Works across all instruments (forex, crypto, stocks, commodities) and all timeframes. Settings Recommendations: Default lookback period of 20 bars works well for short-term intraday trading. Increase lookback for swing trading or higher timeframes. Use in combination with trend indicators or volume analysis for stronger signals. The Dealing Range Indicator is perfect for range-bound traders, swing traders, and breakout strategists. It’s lightweight, easy to use, and visually intuitive—designed to help you make smarter decisions without overcomplicating your charts.
Pine Script® indicator
by Uchanma
river 10 min **This strategy was specially developed for the RIVERUSDT pair, combining advanced moving average techniques with continuous optimization to capture high-quality trading opportunities. It is designed to enhance trend detection, improve entry timing, and adapt more effectively to changing market conditions. The result is a more refined and dynamic trading approach aimed at maximizing potential performance while maintaining a structured and disciplined methodology.** אם אתה רוצה, אכתוב לך עכשיו גם גרסה **יותר חדה ומקצועית ברמה של פרופיל סיגנלים או משקיעים**.
Pine Script® strategy
by lazyk42
GCM SMI Cloud OscillatorDescription: Title: GCM Smart SMI Cloud Oscillator (GCM SSCO) Advanced Cloud Dynamics Meets Absolute Algorithmic Precision. - by uniGram. Overview Traditional oscillators often fall victim to market noise, generating false signals and whipsawing traders during chop. The GCM Smart SMI Cloud Oscillator (GCM SSCO) was engineered to solve this by moving away from basic crossovers and utilizing an algorithmic 9-Point Confluence Engine. By calculating the momentum of both Micro (fast) and Macro (slow) cycles alongside a hidden exponential moving average framework, the GCM SSCO filters out institutional stop-hunts and provides highly accurate, trend-aligned signals. 🧠 The 9-Point Smart Engine At the core of the GCM SSCO is a dynamic scoring algorithm. Under the hood, the indicator continuously grades the market based on 9 specific criteria: 1-3. Micro SMI, Signal, and Sniper Trajectories 4-6. Macro SMI, Signal, and Sniper Trajectories 7-9. Hidden EMA 1, EMA 2, and Mean Trajectories The Smart Label Dashboard (top center) displays this internal score in real-time, instantly calculating the absolute momentum percentage. It requires heavy confluence (8 out of 9 points) to shift into "STRONG BULLISH" or "STRONG BEARISH" status, keeping you out of weak, low-probability setups. ⚙️ Core Architecture & Features • Dual-Cloud Dynamics: Features two distinct Stochastic Momentum Index (SMI) clouds. The Macro Cloud defines the overarching institutional trend, while the Micro Cloud acts as your trigger for high-precision entries. • Automated Divergence Detection: Built-in pivot-lookback algorithms automatically map out Bullish and Bearish divergences on both the Micro and Macro levels. These print directly on the oscillator to signal early trend exhaustion. • Institutional OB/OS Zones: Features perfectly calibrated, low-opacity (20%) structural lines. The overbought (+40 to +80) and oversold (-40 to -80) zones are subtly tinted red and green to visually alert you when momentum is overextended and ripe for a mean-reversion. • Clean Visuals: Meticulously designed UI. No chart clutter. The indicator relies on smooth ribbon fills, clean dashed boundaries, and a minimalist square-capsule HUD. 📈 How to Trade with the GCM SSCO 1. The "Cloud Confluence" Strategy (Trend Following) • Long Entry: Wait for the Macro Cloud to turn Bullish (Green). Enter when the Micro Cloud pulls back and prints a fresh Bullish crossover in the direction of the Macro trend. • Short Entry: Wait for the Macro Cloud to turn Bearish (Red). Enter when the Micro Cloud rallies and prints a fresh Bearish crossover in sync with the Macro trend. 2. The "Momentum Sniper" Strategy (Breakouts) • Watch the Smart Dashboard. When the market transitions from ranging to "STRONG BULLISH" (85%+ Momentum) or "STRONG BEARISH", use this as a trigger to scale into breakout trades before the wider market reacts. 3. Exhaustion & Exits • When the Micro SMI pushes into the Extreme Tinted Zones (+80 or -80) AND prints a Divergence label, look to take profits or tighten trailing stop losses. 🔔 Built-In Pro Alerts The GCM SSCO comes fully loaded with high-probability alert conditions: • 🔥 Strong Bullish / 🩸 Strong Bearish Momentum: Fires strictly when the 9-Point Engine detects massive alignment (8+ indicators in sync). • 🟢 Cloud Confluence (Bullish/Bearish): Fires the exact moment both the Micro and Macro clouds synchronize, signaling a unified shift in market direction. ⚠️ Disclaimer & Risk Warning: The GCM Smart SMI Cloud Oscillator (SSCO) is an analytical tool provided for educational and informational purposes only. It does not constitute financial or investment advice. Trading in financial markets (crypto, forex, stocks, options) involves a high degree of risk and may not be suitable for all investors. Past performance of any indicator or trading system is not indicative of future results. Always conduct your own due diligence, rigorously backtest any strategy, and employ strict risk management. The author assumes no responsibility or liability for any financial losses incurred while using this script. HAPPY TRADING ________________________________________ Description in Kannada Language (ಕನ್ನಡ ವಿವರಣೆ) TITLE: GCM ಸ್ಮಾರ್ಟ್ SMI ಕ್ಲೌಡ್ ಆಸಿಲೇಟರ್ (GCM SSCO) ಸುಧಾರಿತ ಕ್ಲೌಡ್ ಡೈನಾಮಿಕ್ಸ್ ಮತ್ತು ನಿಖರವಾದ ಅಲ್ಗಾರಿದಮಿಕ್ ಲೆಕ್ಕಾಚಾರಗಳ ಅದ್ಭುತ ಸಂಯೋಜನೆ. - by uniGram. ಅವಲೋಕನ (Overview) ಸಾಂಪ್ರದಾಯಿಕ ಆಸಿಲೇಟರ್‌ಗಳು (oscillators) ಸಾಮಾನ್ಯವಾಗಿ ಮಾರ್ಕೆಟ್ ನಾಯ್ಸ್ (market noise) ಗೆ ಬಲಿಯಾಗುತ್ತವೆ, ಫೇಕ್ ಸಿಗ್ನಲ್‌ಗಳನ್ನು ನೀಡುತ್ತವೆ ಮತ್ತು ಚಾಪಿ (choppy) ಮಾರ್ಕೆಟ್‌ನಲ್ಲಿ ಟ್ರೇಡರ್‌ಗಳಿಗೆ ನಷ್ಟ ಉಂಟುಮಾಡುತ್ತವೆ. GCM ಸ್ಮಾರ್ಟ್ SMI ಕ್ಲೌಡ್ ಆಸಿಲೇಟರ್ (GCM SSCO) ಅನ್ನು ಈ ಸಮಸ್ಯೆಯನ್ನು ಬಗೆಹರಿಸಲು ವಿನ್ಯಾಸಗೊಳಿಸಲಾಗಿದೆ. ಇದು ಕೇವಲ ಬೇಸಿಕ್ ಕ್ರಾಸ್‌ಓವರ್‌ಗಳನ್ನು ಅವಲಂಬಿಸದೆ, ಸುಧಾರಿತ 9-ಪಾಯಿಂಟ್ ಕಾನ್‌ಫ್ಲುಯೆನ್ಸ್ ಎಂಜಿನ್ (9-Point Confluence Engine) ಅನ್ನು ಬಳಸುತ್ತದೆ. ಮೈಕ್ರೋ (Micro - ವೇಗ) ಮತ್ತು ಮ್ಯಾಕ್ರೋ (Macro - ನಿಧಾನ) ಸೈಕಲ್‌ಗಳ ಮೊಮೆಂಟಮ್ ಜೊತೆಗೆ ಹಿಡನ್ (hidden) ಎಕ್ಸ್‌ಪೋನೆನ್ಷಿಯಲ್ ಮೂವಿಂಗ್ ಆವರೇಜ್ (EMA) ಫ್ರೇಮ್‌ವರ್ಕ್ ಅನ್ನು ಲೆಕ್ಕಾಚಾರ ಮಾಡುವ ಮೂಲಕ, GCM SSCO ಸಾಂಸ್ಥಿಕ (institutional) ಸ್ಟಾಪ್-ಹಂಟ್‌ಗಳನ್ನು ಫಿಲ್ಟರ್ ಮಾಡುತ್ತದೆ ಮತ್ತು ಟ್ರೆಂಡ್‌ಗೆ ಅನುಗುಣವಾದ ಹೆಚ್ಚು ನಿಖರವಾದ ಸಿಗ್ನಲ್‌ಗಳನ್ನು ಒದಗಿಸುತ್ತದೆ. 🧠 9-ಪಾಯಿಂಟ್ ಸ್ಮಾರ್ಟ್ ಎಂಜಿನ್ (The 9-Point Smart Engine) GCM SSCO ನ ಪ್ರಮುಖ ಭಾಗವೆಂದರೆ ಡೈನಾಮಿಕ್ ಸ್ಕೋರಿಂಗ್ ಅಲ್ಗಾರಿದಮ್. ಇದು 9 ನಿರ್ದಿಷ್ಟ ಮಾನದಂಡಗಳ ಆಧಾರದ ಮೇಲೆ ಮಾರ್ಕೆಟ್ ಅನ್ನು ನಿರಂತರವಾಗಿ ಗ್ರೇಡ್ ಮಾಡುತ್ತದೆ: 1-3. ಮೈಕ್ರೋ SMI, ಸಿಗ್ನಲ್ ಮತ್ತು ಸ್ನೈಪರ್ ಟ್ರಾಜೆಕ್ಟರಿಗಳು (Trajectories) 4-6. ಮ್ಯಾಕ್ರೋ SMI, ಸಿಗ್ನಲ್ ಮತ್ತು ಸ್ನೈಪರ್ ಟ್ರಾಜೆಕ್ಟರಿಗಳು 7-9. ಹಿಡನ್ EMA 1, EMA 2, ಮತ್ತು ಮೀನ್ (Mean) ಟ್ರಾಜೆಕ್ಟರಿಗಳು ಸ್ಮಾರ್ಟ್ ಲೇಬಲ್ ಡ್ಯಾಶ್‌ಬೋರ್ಡ್ (Smart Label Dashboard) (ಮೇಲ್ಭಾಗದ ಮಧ್ಯದಲ್ಲಿ): ಈ ಇಂಟರ್ನಲ್ ಸ್ಕೋರ್ ಅನ್ನು ರಿಯಲ್-ಟೈಮ್‌ನಲ್ಲಿ ಪ್ರದರ್ಶಿಸುತ್ತದೆ, ಇದು ಒಟ್ಟು ಮೊಮೆಂಟಮ್ ಶೇಕಡಾವಾರು (percentage) ಅನ್ನು ತಕ್ಷಣವೇ ಲೆಕ್ಕಾಚಾರ ಮಾಡುತ್ತದೆ. "ಸ್ಟ್ರಾಂಗ್ ಬುಲ್ಲಿಶ್ (STRONG BULLISH)" ಅಥವಾ "ಸ್ಟ್ರಾಂಗ್ ಬೇರಿಶ್ (STRONG BEARISH)" ಸ್ಟೇಟಸ್‌ಗೆ ಬದಲಾಗಲು ಇದು ಬಲವಾದ ಕಾನ್‌ಫ್ಲುಯೆನ್ಸ್ ಅನ್ನು (9 ರಲ್ಲಿ 8 ಪಾಯಿಂಟ್‌ಗಳು) ನಿರೀಕ್ಷಿಸುತ್ತದೆ, ಇದು ನಿಮ್ಮನ್ನು ದುರ್ಬಲ, ಕಡಿಮೆ-ಪ್ರಾಬಬಿಲಿಟಿ (low-probability) ಸೆಟಪ್‌ಗಳಿಂದ ದೂರವಿಡುತ್ತದೆ. ⚙️ ಕೋರ್ ಆರ್ಕಿಟೆಕ್ಚರ್ ಮತ್ತು ವೈಶಿಷ್ಟ್ಯಗಳು (Core Architecture & Features) • ಡ್ಯುಯಲ್-ಕ್ಲೌಡ್ ಡೈನಾಮಿಕ್ಸ್ (Dual-Cloud Dynamics): ಎರಡು ವಿಭಿನ��ನ ಸ್ಟೊಕಾಸ್ಟಿಕ್ ಮೊಮೆಂಟಮ್ ಇಂಡೆಕ್ಸ್ (SMI) ಕ್ಲೌಡ್‌ಗಳನ್ನು ಹೊಂದಿದೆ. ಮ್ಯಾಕ್ರೋ ಕ್ಲೌಡ್ ಪ್ರಮುಖ ಸಾಂಸ್ಥಿಕ (institutional) ಟ್ರೆಂಡ್ ಅನ್ನು ವ್ಯಾಖ್ಯಾನಿಸುತ್ತದೆ, ಆದರೆ ಮೈಕ್ರೋ ಕ್ಲೌಡ್ ನಿಮ್ಮ ಹೈ-ಪ್ರೆಸಿಶನ್ ಎಂಟ್ರಿಗಳಿಗೆ ಟ್ರಿಗರ್ ಆಗಿ ಕಾರ್ಯನಿರ್ವಹಿಸುತ್ತದೆ. • ಆಟೋಮ್ಯಾಟೆಡ್ ಡೈವರ್ಜೆನ್ಸ್ ಡಿಟೆಕ್ಷನ್ (Automated Divergence Detection): ಇದರಲ್ಲಿರುವ ಪಿವಾಟ್-ಲುಕ್‌ಬ್ಯಾಕ್ ಅಲ್ಗಾರಿದಮ್‌ಗಳು ಮೈಕ್ರೋ ಮತ್ತು ಮ್ಯಾಕ್ರೋ ಹಂತಗಳಲ್ಲಿ ಬುಲ್ಲಿಶ್ ಮತ್ತು ಬೇರಿಶ್ ಡೈವರ್ಜೆನ್ಸ್‌ಗಳನ್ನು ಸ್ವಯಂಚಾಲಿತವಾಗಿ ಮ್ಯಾಪ್ ಮಾಡುತ್ತವೆ. ಟ್ರೆಂಡ್ ಎಕ್ಸಾಶನ್ (trend exhaustion) ಅನ್ನು ಮೊದಲೇ ಸೂಚಿಸಲು ಇವು ಆಸಿಲೇಟರ್ ಮೇಲೆಯೇ ಪ್ರಿಂಟ್ ಆಗುತ್ತವೆ. • ಇನ್‌ಸ್ಟಿಟ್ಯೂಷನಲ್ OB/OS ಝೋನ್‌ಗಳು (Institutional OB/OS Zones): ಕರಾರುವಕ್ಕಾಗಿ ಲೆಕ್ಕಾಚಾರ ಮಾಡಿದ, ಕಡಿಮೆ-ಒಪಾಸಿಟಿ (20%) ಸ್ಟ್ರಕ್ಚರಲ್ ಲೈನ್‌ಗಳನ್ನು ಹೊಂದಿದೆ. ಓವರ್‌ಬಾಟ್ (Overbought: +40 ರಿಂದ +80) ಮತ್ತು ಓವರ್‌ಸೋಲ್ಡ್ (Oversold: -40 ರಿಂದ -80) ಝೋನ್‌ಗಳು ಕ್ರಮವಾಗಿ ಕೆಂಪು ಮತ್ತು ಹಸಿರು ಬಣ್ಣದ ಟಿಂಟ್ (tint) ಹೊಂದಿದ್ದು, ಮೊಮೆಂಟಮ್ ಓವರ್‌ಎಕ್ಸ್‌ಟೆಂಡ್ ಆದಾಗ ಮತ್ತು ರಿವರ್ಸಲ್ (mean-reversion) ಗೆ ಸಿದ್ಧವಾದಾಗ ನಿಮಗೆ ದೃಷ್ಟಿಗೋಚರವಾಗಿ (visually) ಅಲರ್ಟ್ ಮಾಡುತ್ತವೆ. • ಕ್ಲೀನ್ ವಿನ್ಯಾಸ (Clean Visuals): ಬಹಳ ಎಚ್ಚರಿಕೆಯಿಂದ ವಿನ್ಯಾಸಗೊಳಿಸಿದ UI. ಚಾರ್ಟ್ ಮೇಲೆ ಯಾವುದೇ ಗೊಂದಲವಿರುವುದಿಲ್ಲ (No chart clutter). ಈ ಇಂಡಿಕೇಟರ್ ಸ್ಮೂತ್ ರಿಬ್ಬನ್ ಫಿಲ್‌ಗಳು, ಕ್ಲೀನ್ ಡ್ಯಾಶ್ಡ್ ಬೌಂಡರಿಗಳು ಮತ್ತು ಮಿನಿಮಲಿಸ್ಟ್ ಸ್ಕ್ವೇರ್-ಕ್ಯಾಪ್ಸುಲ್ HUD ಮೇಲೆ ಅವಲಂಬಿತವಾಗಿದೆ. 📈 GCM SSCO ಬಳಸಿ ಟ್ರೇಡ್ ಮಾಡುವುದು ಹೇಗೆ (How to Trade) 1. "ಕ್ಲೌಡ್ ಕಾನ್‌ಫ್ಲುಯೆನ್ಸ್" ಸ್ಟ್ರಾಟಜಿ (ಟ್ರೆಂಡ್ ಫಾಲೋಯಿಂಗ್ / Trend Following) • ಲಾಂಗ್ ಎಂಟ್ರಿ (Long Entry): ಮ್ಯಾಕ್ರೋ ಕ್ಲೌಡ್ ಬುಲ್ಲಿಶ್ (ಹಸಿರು) ಆಗುವವರೆಗೆ ಕಾಯಿರಿ. ಮೈಕ್ರೋ ಕ್ಲೌಡ್ ಪುಲ್‌ಬ್ಯಾಕ್ (pullback) ಆಗಿ, ಮ್ಯಾಕ್ರೋ ಟ್ರೆಂಡ್‌ನ ದಿಕ್ಕಿನಲ್ಲಿಯೇ ಹೊಸ ಬುಲ್ಲಿಶ್ ಕ್ರಾಸ್‌ಓವರ್ ಅನ್ನು ಪ್ರಿಂಟ್ ಮಾಡಿದಾಗ ಎಂಟ್ರಿ ತೆಗೆದುಕೊಳ್ಳಿ. • ಶಾರ್ಟ್ ಎಂಟ್ರಿ (Short Entry): ಮ್ಯಾಕ್ರೋ ಕ್ಲೌಡ್ ಬೇರಿಶ್ (ಕೆಂಪು) ಆಗುವವರೆಗೆ ಕಾಯಿರಿ. ಮೈಕ್ರೋ ಕ್ಲೌಡ್ ರ್ಯಾಲಿ (rally) ಆಗಿ, ಮ್ಯಾಕ್ರೋ ಟ್ರೆಂಡ್‌ಗೆ ಸಿಂಕ್ ಆಗಿ ಹೊಸ ಬೇರಿಶ್ ಕ್ರಾಸ್‌ಓವರ್ ಅನ್ನು ಪ್ರಿಂಟ್ ಮಾಡಿದಾಗ ಎಂಟ್ರಿ ತೆಗೆದುಕೊಳ್ಳಿ. 2. "ಮೊಮೆಂಟಮ್ ಸ್ನೈಪರ್" ಸ್ಟ್ರಾಟಜಿ (ಬ್ರೇಕ್‌ಔಟ್‌ಗಳು / Breakouts) • ಸ್ಮಾರ್ಟ್ ಡ್ಯಾಶ್‌ಬೋರ್ಡ್ ಅನ್ನು ಗಮನಿಸಿ. ಮಾರ್ಕೆಟ್ ರೇಂಜಿಂಗ್ (ranging) ನಿಂದ "ಸ್ಟ್ರಾಂಗ್ ಬುಲ್ಲಿಶ್" (85%+ ಮೊಮೆಂಟಮ್) ಅಥವಾ "ಸ್ಟ್ರಾಂಗ್ ಬೇರಿಶ್" ಗೆ ಬದಲಾದಾಗ, ಇತರರು ರಿಯಾಕ್ಟ್ ಮಾಡುವ ಮುನ್ನವೇ ಬ್ರೇಕ್‌ಔಟ್ ಟ್ರೇಡ್‌ಗಳಲ್ಲಿ ಎಂಟ್ರಿ ತೆಗೆದುಕೊಳ್ಳಲು ಇದನ್ನು ಟ್ರಿಗರ್ ಆಗಿ ಬಳಸಿ. 3. ಎಕ್ಸಾಶನ್ ಮತ್ತು ಎಕ್ಸಿಟ್‌ಗಳು (Exhaustion & Exits) • ಮೈಕ್ರೋ SMI ಎಕ್ಸ್‌ಟ್ರೀಮ್ ಟಿಂಟೆಡ್ ಝೋನ್‌ಗಳಿಗೆ (+80 ಅಥವಾ -80) ತಲುಪಿದಾಗ ಮತ್ತು ಡೈವರ್ಜೆನ್ಸ್ ಲೇಬಲ್ (Divergence label) ಅನ್ನು ಪ್ರಿಂಟ್ ಮಾಡಿದಾಗ, ಪ್ರಾಫಿಟ್ ಬುಕ್ ಮಾಡಲು ಅಥವಾ ನಿಮ್ಮ ಟ್ರೈಲಿಂಗ್ ಸ್ಟಾಪ್-ಲಾಸ್ (trailing stop losses) ಅನ್ನು ಟೈಟ್ ಮಾಡಲು ಪ್ಲಾನ್ ಮಾಡಿ. 🔔 ಬಿಲ್ಟ್-ಇನ್ ಪ್ರೊ ಅಲರ್ಟ್‌ಗಳು (Built-In Pro Alerts) GCM SSCO ಹೈ-ಪ್ರಾಬಬಿಲಿಟಿ ಅಲರ್ಟ್ ಕಂಡೀಷನ್‌ಗಳೊಂದಿಗೆ ಸಂಪೂರ್ಣವಾಗಿ ಲೋಡ್ ಆಗಿದೆ: • 🔥 ಸ್ಟ್ರಾಂಗ್ ಬುಲ್ಲಿಶ್ / 🩸 ಸ್ಟ್ರಾಂಗ್ ಬೇರಿಶ್ ಮೊಮೆಂಟಮ್: 9-ಪಾಯಿಂಟ್ ಎಂಜಿನ್ ಬಲವಾದ ಕಾನ್‌ಫ್ಲುಯೆನ್ಸ್ ಅನ್ನು (8+ ಇಂಡಿಕೇಟರ್‌ಗಳು ಸಿಂಕ್ ಆದಾಗ) ಪತ್ತೆಹಚ್ಚಿದಾಗ ಮಾತ್ರ ನಿಖರವಾಗಿ ಫೈರ್ ಆಗುತ್ತದೆ. • 🟢 ಕ್ಲೌಡ್ ಕಾನ್‌ಫ್ಲುಯೆನ್ಸ್ (ಬುಲ್ಲಿಶ್/ಬೇರಿಶ್): ಮೈಕ್ರೋ ಮತ್ತು ಮ್ಯಾಕ್ರೋ ಕ್ಲೌಡ್‌ಗಳೆರಡೂ ಒಂದೇ ದಿಕ್ಕಿನಲ್ಲಿ ಸಿಂಕ್ರೊನೈಸ್ ಆದ ತಕ್ಷಣ ಫೈರ್ ಆಗುತ್ತದೆ, ಇದು ಮಾರ್ಕೆಟ್ ದಿಕ್ಕಿನ ಏಕೀಕೃತ ಬದಲಾವಣೆಯನ್ನು ಸೂಚಿಸುತ್ತದೆ. ⚠️ ಹಕ್ಕುತ್ಯಾಗ ಮತ್ತು ಅಪಾಯದ ಎಚ್ಚರಿಕೆ (Disclaimer & Risk Warning): GCM ಸ್ಮಾರ್ಟ್ SMI ಕ್ಲೌಡ್ ಆಸಿಲೇಟರ್ (SSCO) ಕೇವಲ ಶೈಕ್ಷಣಿಕ ಮತ್ತು ಮಾಹಿತಿ ಉದ್ದೇಶಗಳಿಗಾಗಿ ಒದಗಿಸಲಾದ ವಿಶ್ಲೇಷಣಾತ್ಮಕ ಸಾಧನವಾಗಿದೆ. ಇದು ಆರ್ಥಿಕ ಅಥವಾ ಹೂಡಿಕೆ ಸಲಹೆಯಲ್ಲ. ಹಣಕಾಸು ಮಾರುಕಟ್ಟೆಗಳಲ್ಲಿ (ಕ್ರಿಪ್ಟೋ, ಫಾರೆಕ್ಸ್, ಸ್ಟಾಕ್ಸ್, ಆಪ್ಷನ್ಸ್) ಟ್ರೇಡಿಂಗ್ ಮಾಡುವುದು ಹೆಚ್ಚಿನ ಮಟ್ಟದ ಅಪಾಯವನ್ನು ಒಳಗೊಂಡಿರುತ್ತದೆ ಮತ್ತು ಇದು ಎಲ್ಲಾ ಹೂಡಿಕೆದಾರರಿಗೆ ಸೂಕ್ತವಲ್ಲ. ಯಾವುದೇ ಇಂಡಿಕೇಟರ್ ಅಥವಾ ಟ್ರೇಡಿಂಗ್ ಸಿಸ್ಟಮ್‌ನ ಹಿಂದಿನ ಕಾರ್ಯಕ್ಷಮತೆಯು ಭವಿಷ್ಯದ ಫಲಿತಾಂಶಗಳ ಸೂಚಕವಲ್ಲ. ಯಾವಾಗಲೂ ನಿಮ್ಮದೇ ಆದ ರಿಸರ್ಚ್ (due diligence) ಮಾಡಿ, ಯಾವುದೇ ಸ್ಟ್ರಾಟಜಿಯನ್ನು ಕಟ್ಟುನಿಟ್ಟಾಗಿ ಬ್ಯಾಕ್‌ಟೆಸ್ಟ್ ಮಾಡಿ ಮತ್ತು ಕಟ್ಟುನಿಟ್ಟಾದ ರಿಸ್ಕ್ ಮ್ಯಾನೇಜ್ಮೆಂಟ್ ಅನ್ನು ಅನುಸರಿಸಿ. ಈ ಸ್ಕ್ರಿಪ್ಟ್ ಅನ್ನು ಬಳಸುವಾಗ ಉಂಟಾಗುವ ಯಾವುದೇ ಆರ್ಥಿಕ ನಷ್ಟಗಳಿಗೆ ಲೇಖಕರು ಯಾವುದೇ ಜವಾಬ್ದಾರಿ ಅಥವಾ ಹೊಣೆಗಾರಿಕೆಯನ್ನು ವಹಿಸುವುದಿಲ್ಲ. HAPPY TRADING
Pine Script® indicator
by uniGram
8
Exponential Hull Momentum [BackQuant]Exponential Hull Momentum Overview Exponential Hull Momentum is a normalized momentum oscillator built from an Exponential Hull Moving Average -style transformation. Its purpose is to measure whether smoothed directional pressure is pushing toward the upper or lower end of its own recent range, while keeping the response faster and cleaner than a plain moving-average oscillator. At a high level, the script does three things: Builds a fast, low-lag smoothed series using an Exponential Hull-style calculation. Normalizes that series against its own rolling high-low range so the output fits into a bounded oscillator-style scale centered around zero. Optionally smooths the oscillator with a selectable moving average so you can use a secondary signal line or regime filter. The final result is an oscillator that tries to answer: Is momentum pushing toward the strong positive end of its recent range? Is momentum collapsing toward the negative end? Is the current move still expanding, or is it rolling over relative to its own smoothed state? What this indicator is actually measuring This indicator is not measuring raw returns, not measuring RSI-style up/down closes, and not measuring volatility. It is measuring the position of a low-lag smoothed price transform within its own recent rolling range . That distinction matters. It means: Positive values indicate the Exponential Hull series is in the upper half of its recent normalized range. Negative values indicate it is in the lower half of its recent normalized range. Extreme positive values suggest strong upward momentum persistence. Extreme negative values suggest strong downward momentum persistence. Because it is normalized, the oscillator is less about absolute price level and more about relative momentum state . Where the “Hull” idea comes from The Hull Moving Average family exists to solve a classic moving-average problem: If you smooth more, you reduce noise but increase lag. If you smooth less, you reduce lag but increase noise. Alan Hull’s core idea was to combine moving averages in a way that compensates for lag before applying a final smoothing stage. The classic HMA uses weighted moving averages. This script uses the same structural idea, but with EMAs instead , producing an Exponential Hull-style moving average . So instead of a classic HMA, the script constructs: A fast EMA on half-length input. A slower EMA on full-length input. A lag-compensated intermediate value using 2 * fast - slow. A final EMA smoothing pass using sqrt(length). This is why it is called Exponential Hull Momentum . The “Hull” part refers to the lag-reduction structure, the “Exponential” part comes from using EMA instead of WMA. The EHMA calculation step by step The core function is: EHMA(_src, _length) = EMA( 2 * EMA(_src, _length / 2) - EMA(_src, _length), round(sqrt(_length)) ) Let’s break that down. 1) Fast EMA on half length EMA(_src, _length / 2) This reacts quickly to recent price changes. 2) Slow EMA on full length EMA(_src, _length) This is smoother and more delayed. 3) Lag compensation 2 * fastEMA - slowEMA This is the critical step. It pushes the result toward the faster average while subtracting part of the slower lagging component. Conceptually, it behaves like a “de-lagged” smoother. It is related in spirit to reduced-lag constructions like DEMA and TEMA, though implemented in a Hull-style framework. 4) Final smoothing EMA(lag_compensated_series, sqrt(length)) This final pass cleans up the compensated series so it remains usable as a smooth momentum engine rather than a noisy de-lagged line. So the oscillator’s underlying subject is not raw price, but this EHMA subject series . Why use EHMA instead of a plain EMA or raw price A raw price oscillator is often too noisy. A plain EMA oscillator is smoother, but can still lag too much. EHMA tries to balance: Faster reaction than a standard EMA. Cleaner shape than a raw de-lagged transform. More sensitivity to directional bursts. That makes it useful for momentum work, especially when you want: Earlier momentum regime shifts. Cleaner trend-state transitions. A bounded oscillator rather than an overlay line. Normalization: turning the EHMA into an oscillator After computing the EHMA subject, the script normalizes it using its own rolling lowest and highest values over a user-defined normalization period: lowest = lowest(subject, norm_period) highest = highest(subject, norm_period) plotosc = (subject - lowest) / (highest - lowest) - 0.50 This transforms the EHMA series into a bounded range centered around zero. Interpretation: If subject is near the rolling highest, plotosc approaches +0.5. If subject is near the rolling lowest, plotosc approaches -0.5. If subject is near the middle of the rolling range, plotosc is near 0. So the oscillator is essentially: Where is the current EHMA value sitting within its recent high-low envelope? Why normalization matters Without normalization, the EHMA value itself would still be in price units, which makes comparison harder across: Different assets, Different timeframes, Different price regimes. Normalization gives you a common scale: -0.5 to +0.5, centered at 0 That makes the output much easier to use as a momentum state tool. What the oscillator values mean Near +0.5 The EHMA subject is pressing against the upper end of its rolling range. This usually means: Strong bullish momentum, Persistent upward movement in the smoothed series, A possible “stretched” positive momentum condition. Near -0.5 The EHMA subject is pressing against the lower end of its rolling range. This usually means: Strong bearish momentum, Persistent downward movement, A possible stretched downside state. Near 0 The EHMA subject is near the midpoint of its recent range. This can mean: Momentum is neutral, Momentum is transitioning, The market is compressing or chopping relative to recent structure. Important nuance about the oscillator scale This is not a z-score . It is not measuring “standard deviations from mean.” It is a min-max style range normalization . That means: The output depends on the recent highest and lowest subject values. If the rolling range changes sharply, oscillator sensitivity can change too. The same oscillator value does not imply the same statistical rarity across all contexts. It is best read as a relative range-position momentum oscillator , not as a probabilistic metric. Signal line / moving average layer The script optionally applies a second smoothing layer directly to the oscillator: sig_ma = MA(plotosc, malen, matype) You can choose from many MA types: SMA EMA DEMA TEMA RMA WMA HMA T3 ALMA LINREG VWMA This signal line is not required for the core oscillator to work. It is a secondary interpretation layer that can be used for: Momentum confirmation, Cross-based entry logic, Smoothing out the oscillator for regime filtering, Visual comparison between raw momentum and smoothed momentum. The script note suggests that if you want to use the MA more like a signal histogram, you can change its style to columns in the style menu. Why a selectable MA matters Different traders want different signal characteristics: SMA/EMA for classic smoothing, DEMA/TEMA for lower lag, HMA/T3/ALMA for smoother trend-state filtering, LINREG for slope-sensitive behavior, VWMA if you want volume-weighted smoothing. This makes the indicator more flexible without changing the core EHMA oscillator. Color gradient logic The oscillator columns are colored using thresholded intensity zones rather than a continuous gradient function. The color changes as the oscillator moves further away from zero. For positive values: Weak positive: lighter cyan/green tones. Moderate positive: stronger green. Strong positive: bright green. Extreme positive near +0.5: intense bright green. For negative values: Weak negative: orange/red tint. Moderate negative: deeper red. Strong negative: bright red. Extreme negative near -0.5: intense red. This means the plot does two jobs at once: Direction from sign, Relative momentum intensity from color saturation. So even without reading the value numerically, you can see whether momentum is: Barely positive, Strongly positive, Barely negative, Or deeply negative. Static levels and what they mean The script draws fixed zones: +0.5 and +0.4 -0.4 and -0.5 0 midline These create: An upper “overbought / strong positive momentum” zone from 0.4 to 0.5 A lower “oversold / strong negative momentum” zone from -0.4 to -0.5 A midline at 0 separating positive from negative momentum territory Important: These are momentum extreme zones , not traditional RSI overbought/oversold zones. Strong trends can stay pinned near +0.5 or -0.5 for long periods. Extreme readings do not automatically mean reversal. The fill between the upper and lower static boundaries just makes those zones easier to identify visually. Midline logic The zero line is the most important structural level in the oscillator: Above 0 = EHMA is in the upper half of its recent range, positive momentum regime. Below 0 = EHMA is in the lower half of its recent range, negative momentum regime. The alert conditions are built on this exact logic: Long alert on crossover above 0 Short alert on crossunder below 0 So the core directional interpretation is midline-based. How to interpret the indicator in practice 1) Momentum regime The cleanest use is as a regime filter: Above 0: positive momentum bias. Below 0: negative momentum bias. This alone can already be useful for: Filtering entries, Avoiding countertrend setups, Aligning with the dominant smoothed momentum state. 2) Momentum intensity The closer the oscillator moves toward +0.5 or -0.5, the stronger the recent momentum relative to its own normalized range. This can help distinguish: Weak trend drift, Healthy trend continuation, Momentum surge / expansion, Potential exhaustion zones. 3) Transition behavior Watch how the oscillator behaves around 0: Fast thrust through 0 often signals a fresh momentum shift. Repeated chop around 0 often signals indecision or sideways conditions. A flattening oscillator after an extreme reading often shows momentum deterioration before price fully turns. 4) Using the moving average signal If enabled, the MA of the oscillator can help identify: When raw momentum is accelerating away from smoothed momentum, When momentum is rolling over, Whether the oscillator move is broad and sustained or only a short burst. A common interpretation: Oscillator above signal MA and above zero = strong bullish momentum structure. Oscillator below signal MA and below zero = strong bearish momentum structure. Divergence between oscillator and signal MA = momentum fading or transitioning. What makes this different from RSI or stochastic-style oscillators This script is structurally different from standard oscillators. Compared to RSI RSI is based on the ratio of average up closes to down closes. It measures directional internal strength of return behavior. EHMA Momentum instead: Starts from a low-lag smoothed price transform, Then asks where that transform sits in its recent range. So it is more “structure-relative momentum” than “up/down return balance.” Compared to Stochastic Stochastic asks where price closes relative to recent high-low range. EHMA Momentum asks where the EHMA-smoothed subject sits relative to its own recent subject range. That means: It is less raw than stochastic, More smoothed, Potentially less noisy, And more focused on directional structure than candle location. Parameter behavior Exponential Hull Calculation Period (len) Controls how the EHMA subject is built. Very low values make the subject extremely reactive. Higher values smooth the subject more and reduce sensitivity. Since the default is very small, this script is designed to be sharp and responsive by nature. Normalization Period (norm_period) Controls the rolling high-low range used to normalize the subject. Higher values create a broader historical range and smoother normalization. Lower values make the oscillator adapt faster, but it can become more jumpy and “range-reset” more often. Signal MA Period and Type Controls how smooth the optional secondary line is. Shorter MA = faster cross behavior. Longer MA = slower, steadier confirmation. Strengths of this approach Fast response because of the Exponential Hull construction. Easy interpretation because of bounded normalized output. Works well as a regime filter via the zero line. Intensity is visually clear from both height and color. Flexible because of optional multi-type signal smoothing. Limitations and what to watch for Because the oscillator is min-max normalized, extreme values can persist in strong trends. A rolling highest/lowest normalization can make the oscillator “reset” as old extremes leave the window. On very low lengths, the EHMA can become highly reactive and potentially noisy. Zero-line crosses can whipsaw in sideways markets, especially if normalization is too short. So this tool is best used with context: Trend structure, Market regime, Higher timeframe bias, Or combined with the signal MA and price action. Summary Exponential Hull Momentum is a normalized momentum oscillator built from an EMA-based Hull-style smoothing engine. It first creates a low-lag Exponential Hull series, then normalizes that series within its own rolling high-low range so the output oscillates around zero between roughly -0.5 and +0.5. Positive values indicate the EHMA subject is pressing into the upper half of its recent range, negative values indicate the lower half, and the distance from zero reflects relative momentum strength. Static zones highlight extreme positive and negative momentum states, while an optional multi-type moving average can be used as a secondary signal or smoothing layer.
Pine Script® indicator
by BackQuant
Siege Structure Engine: Multi-TF [DAFE]Siege Structure Engine (SSE) A Multi-Timeframe Market Architecture & Liquidity Analysis Toolkit Mapping the Market's Architectural Blueprint Across All Timeframes. FOUNDATION The Siege Structure Engine (SSE) is a professional-grade analysis toolkit designed to render a complete, multi-dimensional map of market structure. It operates on the principle that the most significant price movements originate from and target areas of structural confluence. The engine is built to automatically identify, analyze, and visualize these critical zones by systematically layering and interpreting data across up to four distinct user-defined timeframes. The SSE's architecture is founded on five core pillars that deliver an institutional-quality structural context. Pillar 1: Multi-Timeframe Aggregation The engine's foundation is its ability to request, store, and manage structural data from multiple timeframes simultaneously. It tracks key swing pivots, value areas, and dynamic levels for each timeframe, holding them in memory to construct a comprehensive, fractal view of the market's support and resistance landscape. Pillar 2: Unified Value Areas (POC/VA) SSE calculates the most critical zones of liquidity concentration for each timeframe. It features a hybrid system for maximum accuracy: Footprint-Enabled: When available, it uses real tick-level volume data to calculate the Point of Control (POC) and Value Area (VAH/VAL) with the highest precision. OHLCV Fallback: If footprint data is unavailable, it employs a sophisticated volume profile approximation based on OHLCV data, ensuring the core functionality remains robust for all users. Pillar 3: Dynamic Analysis — The Siege Corridors Static levels are only part of the story. The SSE introduces ' Siege Corridors '—dynamic, predictive trend channels projected from consecutive swing pivots. These are not merely visual aids; they are analytical objects that track every price interaction to calculate: Hit Count & Decay: How often the level has been tested and how its structural integrity is degrading over time. Order Flow Alignment: Whether the delta at each touch confirms or rejects the boundary. Break/Fail Probability: A quantitative score (0-100%) that estimates the likelihood of the corridor holding or breaking on its next test. Pillar 4: Automated Confluence Detection This is the engine's synthesis layer. The SSE automatically scans all identified levels (POCs, VAs, swing pivots) from all active timeframes. It identifies ' Confluence Zones '—critical price bands where multiple structural levels overlap. These zones represent the most significant battlegrounds between buyers and sellers and are automatically highlighted as powerful, multi-layered support and resistance areas. Pillar 5: Liquidity at Structure Structure provides the location; liquidity provides the intent. When price interacts with a key structural level on the base timeframe, the SSE activates its liquidity analysis module. It analyzes the real-time order flow to classify the market's behavior into distinct actions like ' Defending ', ' Absorbing ', ' Attacking ', or ' Abandoning ' a level, providing deep insight into the ongoing auction process. 🔧 COMPREHENSIVE INPUT SYSTEM ⏱ Timeframes TF1-TF4 Enable & Timeframe: Four dedicated slots to configure your structural analysis layers. You can enable up to four timeframes, from your current chart's timeframe (for micro-structure) up to daily or weekly charts (for macro context). This layering is the core of the engine's power. 🏗 Structure Detection Pivot Length: The core sensitivity setting for swing detection. Lower values (2-4) create a detailed map of minor pivots, while higher values (8-15) identify only major, significant swing points for a cleaner overview. Max Pivots Stored: The memory buffer for recent swing points for each timeframe, ensuring the analysis stays relevant to current price action. POC/VA Lookback Bars: The number of bars used for the volume profile calculation, defining the 'session' or range being analyzed for each timeframe. Profile Rows: The resolution of the volume profile calculation. More rows provide more precise POC/VA levels. 📊 Footprint Use Footprint Data: Master switch to enable high-fidelity analysis using tick-level volume data. If disabled or unavailable, the engine seamlessly falls back to its OHLCV approximation. Show FP Step Lines: An optional feature to display the POC/VA lines derived from only the single, most recent bar's footprint, providing a micro-level view of the current auction. 🎨 Visualization Show POC / VA / Siege / Confluence: Granular control to toggle the visibility of each major structural element on the chart. Show Liquidity at Structure: Displays the real-time order flow classification labels (e.g., '◆ DEFEND') when price interacts with key levels. Enable Intra-bar Alerts: When enabled, the engine monitors for touches of key levels on every tick, providing immediate visual cues and alerts. 🎨 ADVANCED VISUAL SYSTEM Multi-Timeframe Structural Lines & Bands Each enabled timeframe is assigned a unique color shade for its structural levels. POC Lines: Plotted as solid lines, representing the areas of highest volume agreement. Value Area Bands: VAH and VAL are plotted as dashed lines with a transparent fill between them, creating clear zones where the majority of business was conducted. Siege Corridors These dynamic channels are projected forward from the most recent pivots. The central dashed line represents the primary angle of attack, while dotted outer bands define the tolerance zone. Each corridor is accompanied by a detailed label showing its timeframe, hit count, and real-time break/fail probabilities. Confluence Zones These are the most prominent visual elements. The engine automatically draws shaded boxes to highlight these multi-layered S/R zones. The color indicates the dominant nature (demand/support or supply/resistance), and the opacity reflects the zone's strength (number of contributing TFs). Liquidity & Pivot Markers Liquidity Labels: When price interacts with a base-timeframe level, compact text labels appear (e.g., '◈ ABSORB') to provide instant feedback on the underlying order flow. Pivot Markers: Small diamond markers identify the exact candles where swing highs and lows were confirmed. 📊 DASHBOARD The dashboard offers a complete, command-center view of the entire structural landscape. Structure State Section: Provides a high-level summary, including the Nearest Support and Resistance levels, their calculated Hold Probabilities, the Net Structural Bias (bullish/bearish), and whether price is currently inside a major Value Area. Siege Corridors Section: Lists all active Siege Corridors from all timeframes, with their real-time statistics (Hits, Break%, Fail%). Liquidity Section: Displays a detailed breakdown of the current bar's order flow, including the Footprint Status (Active/Proxy), Delta, Spread Proxy, Volume Quality, and Absorption rate. Confluence Section: Lists the most significant active Confluence Zones, showing their price, the number of contributing timeframes, and their calculated Hold Probability. Intra-bar Status: A special field that provides a real-time text alert if the live price is touching any critical level (e.g., '◆ CONFLUENCE', '◆ SIEGE SUP'). 🚀 ADVANCED TRADING STRATEGIES Confluence Reversal Strategy This is the primary strategy. Monitor for price entering a strong, multi-TF Confluence Zone (ideally 3+ TFs). Await a 'Liquidity at Structure' signal that confirms a reversal (e.g., '◆ DEFEND' at a demand zone or '◈ ABSORB' at a supply zone). The zone itself provides a logical area for stop placement. Value Area Rotation Strategy When price is accepted inside a major timeframe's Value Area, trade rotations between the VAL and VAH. Look for entries near the edges and target the opposing boundary. The dashboard's "Inside VA" status confirms the context for this strategy. Siege Corridor Break/Hold Strategy Use the quantitative data from the Siege Corridors. For a Hold/Reversal: Look for a high Fail Probability (>60%) at a corridor that has multiple hits (decaying energy), especially if it aligns with a Confluence Zone. For a Breakout: Look for a high Break Probability (>60%) with strong delta alignment, suggesting order flow is supporting the break of the structure. ⚖️ RESPONSIBLE USAGE Context is Key: The SSE is an advanced tool for mapping market structure. It provides the "where" but not always the "when." It should be used to identify high-probability locations to execute a pre-existing trading plan. Data Dependency: While the OHLCV fallback is robust, the liquidity analysis features perform best with a real-time footprint data feed. This is an Engine, Not a Signal Generator: The SSE is designed for discretionary analysis and to be the foundation for other indicators. While it generates alerts for touches, it does not produce explicit buy/sell signals on its own. 🔮 CONCLUSION The Siege Structure Engine is a comprehensive tool for any trader who believes that market structure is paramount. By automating the complex task of aggregating and analyzing structural data across multiple timeframes, it brings a level of clarity and objectivity previously difficult to achieve. It transforms a cluttered chart into an organized architectural map of support, resistance, value, and momentum. By providing not just the levels but a quantitative analysis of their strength and the real-time liquidity dynamics occurring at them, the SSE empowers traders to make more informed decisions at the market's most critical junctures.
Pine Script® indicator
by DskyzInvestments
SOXL Breakout# SOXL Breakout — Intraday Breakout Levels & Position Sizing ## What It Does SOXL Breakout is a day-trading overlay indicator designed for leveraged ETFs (SOXL, TQQQ, etc.) on the **5-minute timeframe**. It automatically plots key price levels each morning and tracks position sizing and P&L across two independent accounts. ## How It Works Every trading day at **09:25 EST**, the indicator captures the open of that candle and draws three levels: - **OPEN** — the 09:25 candle's open price (white solid line) - **TRIGGER** — a configurable percentage above the open (green dashed line, default +1.41%). This is your **buy signal**. When price touches this level during RTH, the indicator enters a simulated long position. - **STOP LOSS** — a configurable percentage below the trigger (red dashed line, default -8%). If price drops to this level while in a position, the trade is closed at a loss. ### Trade Lifecycle 1. **09:25 EST** — Levels are drawn for the day. 2. **During RTH (09:30–16:00)** — If price hits the TRIGGER, a position is entered at the trigger price. Shares are calculated based on your account size and deploy percentage, rounded down to the nearest 100 shares. 3. **Stop Loss** — If price hits the stop-loss level at any time while in a position (including pre-market the next day), the position is closed. 4. **09:20 EST (next day)** — If still in a position, it is auto-sold at the open price. This is the default exit. ### SOXS (Inverse) Entry An optional feature for hedging or inverse plays. When enabled, if the TRIGGER was **never hit** during RTH on Monday, Thursday, or Friday, a **SOXS ENTRY** line is drawn at the 15:55 closing price. This signals a potential inverse (bearish) entry. ## The Position Sizing Table A live overlay table displays: | Row | Description | |---|---| | **Account** | Current account balance (seed + cumulative P&L). Shows before/after transition on trade close. | | **Running P&L** | Live dollar P&L while in a position, or locked P&L after exit. | | **Status** | Current state: Waiting, Acct updated, In position, Sold - gain, Sold - loss, Stopped out. | | **Shares** | Number of shares to trade based on account size, deploy %, and trigger price. | | **Risk** | Dollar risk and percentage risk per account if stopped out. | The table supports **two independent accounts** — useful for tracking separate portfolios or different position sizes side by side. ## Settings ### Open Candle Time - **Open Candle Hour/Minute (EST)** — When to capture the reference candle (default: 09:25) - **Trigger % above Open** — Percentage above open for the buy trigger (default: 1.41%) - **Stop Loss % below Trigger** — Percentage below trigger for the stop loss (default: 8.0%) ### Line Colours - Customize colors for the OPEN, TRIGGER, and STOP LOSS lines. ### SOXS Entry - **Enable SOXS Entry** — Toggle the inverse entry line feature. - **SOXS ENTRY colour** — Color for the SOXS entry line. ### Account 1 / Account 2 - **Account Name** — Label shown in the table header. - **Starting Account ($)** — Your account seed capital. Changing this resets cumulative P&L. - **Deploy %** — Percentage of account to deploy per trade (default: 80%). ### Display - **Table Position** — Where to place the position sizing table on the chart. ## Important Notes - This indicator is designed for the **5-minute timeframe only**. A warning label will appear if applied to any other timeframe. - Cumulative P&L only updates on **realtime bars** to avoid inflated backtest results. - Changing the starting account value resets the cumulative P&L counter. - Shares are always rounded down to the nearest 100. - The indicator does **not** place actual trades — it is a visual and analytical tool only. ## Disclaimer This indicator is for **educational and informational purposes only**. It does not constitute financial advice. Leveraged ETFs carry significant risk, including the potential for substantial losses. Always do your own research and consult a qualified financial advisor before trading. Past performance does not guarantee future results.
Pine Script® indicator
by namu2lim
HTF Volume Spike & Imbalance Projection [LuxAlgo]The HTF Volume Spike & Imbalance Projection indicator provides a comprehensive multi-timeframe analysis tool that projects higher timeframe (HTF) candle structures, volume spikes, and volume profiles directly onto the current chart. This script aims to bridge the gap between different time horizons, allowing traders to identify institutional interest, supply/demand zones, and significant order flow imbalances within an HTF context without ever switching timeframes. 🔶 USAGE 🔹 The Core Concept While standard charts only show the OHLC of a candle, this indicator deconstructs a single large candle (e.g., a 1-hour candle) into its individual internal components. It looks for Volume Spikes (moments of high activity) and Stacked Imbalances (where aggressive participants stepped in repeatedly) to reveal the "story" inside the bar. 🔹 Reading the Projection The indicator projects two visual blocks to the right of your current price action: Ghost Bar (Left Block): This represents the previous completed HTF candle. It is faded out to provide historical context and show where the previous "value" was established. Current Bar (Right Block): This represents the HTF candle currently forming and updates in real-time as new data arrives. Each block is divided into three distinct visual sections: HTF Candle: A standard candle representation of the higher timeframe (Open, High, Low, Close). Scatter Plot (The Bubbles): Every bubble represents a volume spike that occurred on the lower timeframe (LTF) granularity. The size of the bubble indicates higher volume, while the color indicates buying (Green) or selling (Red) pressure. Dotted lines connect the High and Low of the candle to this zone for reference. Volume Profile (The Histogram): Displays the total distribution of volume across the entire HTF candle, highlighting high-volume nodes. 🔹 Key Feature: Stacked Imbalances Look for the solid colored boxes behind the scatter plot bubbles. These "Stacked Imbalances" appear when 3 or more volume spikes of the same direction occur at the same price level within one HTF candle. Bullish Imbalance (Green Box): Indicates a strong area of buying interest. These often act as support levels. Bearish Imbalance (Red Box): Indicates a strong area of selling interest. These often act as resistance levels. 🔹 On-Chart Bubbles The bubbles visible on the actual candles of your chart are the same spikes shown in the projection. A cluster of large bubbles at the top of a candle indicates exhaustion or heavy selling at the highs. Large bubbles at the bottom indicate a strong floor being built by buyers. 🔶 DETAILS The indicator uses request.security_lower_tf() to pull granular data. By analyzing volume at this "Spike Granularity," the script can pinpoint specific price levels where volume exceeded a moving average by a user-defined multiplier. 🔹 Trading Tips Identify Point of Control: Use the Volume Profile in the projection to see where the "Value" is. Trading usually gravitates back to high-volume areas. Trade the Imbalances: When price returns to a previously formed "Stacked Imbalance" box from the Ghost Bar, look for a reversal. These are high-probability areas where institutional activity was detected. Volatility Detection: If the scatter plot is empty, the current move is "low conviction" (low volume). If it's filled with large bubbles, big players are active. 🔶 SETTINGS 🔹 Higher Timeframe (Anchor) HTF Anchor Timeframe: Defines the timeframe of the main projection. The "Auto" setting selects a logical HTF based on your current chart. 🔹 Volume Spike Detection Spike Granularity: The lower timeframe used to find individual spikes. Volume Spike Multiplier: The threshold used to define a "spike" relative to the volume average. Volume MA Length: The lookback period for the volume average. 🔹 Advanced Features Show Ghost (Previous) Bar: Toggles the visualization of the previous HTF period. Highlight Stacked Imbalances: Enables detection of price zones with high-frequency aggressive volume. Show Anchor Connection Lines: Toggles lines connecting chart levels to the projection block. Show Bubbles on Chart Candles: Toggles the LTF volume spikes directly on the main chart bars.
Pine Script® indicator
by LuxAlgo
1
Pivot Strategy [OmegaTools]Pivot Strategy by OmegaTools is a systematic trading strategy designed to evaluate price behavior around key pivot point levels. The script builds a complete pivot framework using the selected calculation method, with support for Traditional, Fibonacci, Woodie, Classic, and Camarilla pivots. From this structure, the strategy derives the central pivot level together with the first three resistance and support extensions, creating a clear and objective map of potential reaction zones for the session. This script shouldn't be used as a stand alone strategy, a proper trigger and confluence filters are missing, instead try using this script to study market reaction to key levels in order to be able to create and test your own strategy. The strategy is built around two distinct execution models. In TF mode, it operates as a breakout system, entering long positions when price closes upward through the selected bullish pivot level and entering short positions when price closes downward through the selected bearish pivot level. In MR mode, the logic shifts to a mean reversion framework, taking the opposite side of a level interaction: a touch of the selected support-side level from above can trigger a long entry, while a touch of the selected resistance-side level from below can trigger a short entry. This dual structure allows the script to be adapted to both continuation-driven and reversal-driven market conditions. Entry selection is configurable through the central pivot or through one of the first three support/resistance tiers, allowing traders to test different degrees of aggressiveness and selectivity. A central-pivot configuration may produce more frequent signals, while higher-level entries such as SR2 or SR3 generally focus on more extended price movement before participation. This makes the strategy suitable not only for direct backtesting, but also for comparative research across instruments, volatility regimes, and pivot methodologies. Risk management is handled through pivot-based exit logic. Stop loss and take profit levels are independently configurable and are mapped directly to the pivot structure. For long positions, stop losses are derived from the support side and take profits from the resistance side. For short positions, the inverse logic is applied. The script also validates these levels relative to the average entry price, so exits remain structurally coherent with the active position. This keeps the framework simple, transparent, and fully anchored to the same pivot environment used for entries. To reinforce execution discipline, the strategy includes a maximum trades per day parameter, limiting the number of entries allowed during each reset cycle. At the beginning of a new reset period, the strategy clears its internal trade counter and closes any open position, ensuring that each new session starts independently from the previous one. This design makes the model particularly useful for traders who want strict session-based behavior and clean daily segmentation in their testing. Overall, Pivot Strategy is intended for traders and quantitative researchers seeking a structured way to test pivot-driven breakout and mean reversion behavior with clearly defined rules. It is especially useful for studying how different pivot formulas, entry locations, and exit configurations influence performance across markets and timeframes, while maintaining a consistent and interpretable framework. Disclaimer: This script is provided for educational and research purposes only. It does not constitute financial advice, investment advice, trading advice, or a recommendation to buy or sell any financial instrument. Past performance, backtest results, and hypothetical simulations are not indicative of future results. Market conditions, slippage, commissions, execution differences, and instrument-specific factors can materially affect real-world performance. Users should conduct their own analysis, apply proper risk management, and perform thorough out-of-sample validation before considering any live use.
Pine Script® strategy
by OmegaTools
ICT New York Sessions (London-Friendly)**ICT New York Sessions (London-Friendly)** This indicator highlights key New York trading sessions based on ICT (Inner Circle Trader) concepts, automatically aligned to New York time while remaining accurate across all chart timezones. 🔹 **Sessions Included:** * ICT New York Kill Zone (07:00–09:00 NY time) * NYSE Open (09:30 NY time) * New York AM Session (09:30–12:00 NY time) * ICT London Close Kill Zone (10:00–12:00 NY time) * New York PM Session (13:00–16:00 NY time) 🔹 **Features:** * Automatic daylight saving adjustment (New York timezone based) * Background shading for each session * Vertical line marking NYSE open (09:30) * Optional session labels on chart * Clean, beginner-friendly visualization 🔹 **Best Used For:** * ICT trading strategies * Identifying liquidity sweeps and reversals * Timing entries during high volatility sessions * Intraday trading (1m / 5m / 15m charts recommended) 🔹 **How It Works:** The indicator uses the America/New_York timezone internally, ensuring all session timings remain consistent regardless of your local timezone (London, GMT, BST, etc.). 🔹 **Tip:** Focus on: * NY Kill Zone for setups before the open * NY Open (09:30) for volatility spikes * London Close (10:00–12:00) for reversals This tool is designed to simplify ICT session timing and help traders stay aligned with institutional trading hours.
Pine Script® indicator
by Tradewithbuve
Candle Momentum Burst Detector Candle Momentum Burst Detector ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ EDUCATIONAL PURPOSE ONLY — This script does not generate buy or sell signals. It is a market analysis and visualization tool built for educational and informational purposes only. It does not constitute financial advice. Trading involves significant risk. Always use proper risk management and consult a qualified financial advisor before making any trading decisions. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 WHAT MAKES THIS DIFFERENT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Most momentum indicators confirm a move AFTER it has already run. This indicator detects the BIRTH of the move — the exact candle where compressed energy releases explosively in one direction. No RSI. No MACD. No Bollinger Bands. 100% original math built from scratch in Pine Script v6. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ 4 ENGINE SYSTEM ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ● ENGINE 1 — RANGE COMPRESSION DETECTOR Compares the last 5 candles average range against the last 20 candles average. When the short-term average drops below a threshold percentage of the long-term average, the market is coiling and a burst is building. ● ENGINE 2 — BURST CANDLE IDENTIFIER The first strong directional candle after compression. Must have a large range expansion above the short-term average, a strong body ratio closing decisively near the high or low, and a close in the top 40 percent for bull or bottom 40 percent for bear. ● ENGINE 3 — VOLUME CONFIRMATION Volume must be above its average on the burst candle. A candle expanding in range without volume is often a false move. This engine filters those out automatically. ● ENGINE 4 — MOMENTUM SCORE (0 to 4) Each condition above 2x threshold adds one point to the score. Score 4 means all conditions are at maximum strength — historically the highest probability continuation setup. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎨 VISUAL ELEMENTS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ● Yellow compression zone box — marks where the market was coiling before the burst ● Bull Burst label (teal) — appears below the burst candle with score ● Bear Burst label (red) — appears above the burst candle with score ● Two dotted target lines — projected at 1x and 1.5x the burst candle range forward ● Candle coloring — burst candles colored by direction and strength ● Gray candles — marks active compression zones on the chart ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💪 MOMENTUM SCORE GUIDE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ● EXTREME ★★★★ — All 4 conditions at maximum strength — highest probability ● STRONG ★★★☆ — 3 conditions strong — reliable observation ● MODERATE★★☆☆ — 2 conditions met — valid but use with caution ● WEAK ★☆☆☆ — Use Min Score filter to hide these ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 DASHBOARD ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ● Compression State — COILING / READY / NORMAL shown in real time ● Burst Score — live 0 to 4 score with readiness meter ● Last Signal — most recent burst direction ● Range vs Average — current candle range as percentage of long average ● Compression % — how compressed the market currently is ● Volume vs Average — current volume as percentage of average ● Body Ratio — current candle body strength percentage ● Burst Multiplier Needed — exact points needed for a burst on current bar ● Bull and Bear Burst counts for the session Dashboard position is fully movable from settings — Top, Bottom, Middle, Left, Right, Center. No code editing needed. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📖 HOW TO READ IT — STEP BY STEP ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ● STEP 1 — Watch for gray candles Gray or compressed candles mean the market is coiling. Do not trade during this period. Wait for the burst. ● STEP 2 — Compression State in dashboard When dashboard shows COILING — energy is building. When it shows READY — compression happened recently and burst may be imminent. ● STEP 3 — Burst label appears When BULL BURST or BEAR BURST label appears, check the score. Score 2 or above is the recommended minimum for any observation. ● STEP 4 — Check the target lines Two dotted lines project forward from the burst candle. First line is 1x target, second is 1.5x target. These are educational reference levels, not guarantees. ● STEP 5 — Best observation combination Score 4 plus COILING state just before plus volume above 150 percent of average equals the strongest setup this indicator can identify. Study these on historical data first. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ RECOMMENDED SETTINGS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ● Timeframe — 5 min or 15 min recommended for intraday ● Min Score — set to 2 for balanced signals ● Works on — Nifty, BankNifty, stocks, crypto, forex, any liquid instrument ● Alerts — set Bull Burst and Bear Burst alerts for phone notifications ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✅ TECHNICAL TRANSPARENCY ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ● No Repainting — all calculations on confirmed candle data only ● No Lookahead Bias — zero future data access ● No External Data — built purely on price and volume ● Pine Script v6 — latest version, fully optimized ● Original Code — not derived from any existing open-source script ● ta.* functions called at top level only — fully compliant with Pine Script v6 rules ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ DISCLAIMER ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ This indicator is published for educational and informational purposes only. It does not generate buy or sell signals. It does not guarantee any trading results. Past performance of any pattern or observation shown by this tool does not guarantee future results. The author is not responsible for any financial losses. Always do your own research and consult a licensed financial professional before trading.
Pine Script® indicator
by darshakssc
DeltaPulse Wave [ChartPrime]🔶 OVERVIEW DeltaPulse Wave is a high-contrast orderflow oscillator that visualizes institutional conviction and identifies market absorption through standardized Volume Delta analysis. By normalizing the net difference between aggressive buying and selling into a readable wave, this tool allows traders to spot trend exhaustion and high-probability reversals before they appear in the price action. The indicator focuses on the relationship between price structure and volume delta, featuring automated divergence detection that connects price peaks to the underlying volume flow. • Standardized Relative Delta Strength (RDS) • NEW: Integrated Status Dashboard (Trend, Value, & Last Signal) • NEW: On-Chart "Bull/Bear" Signal Triangles (force_overlay) • Structural Divergence Detection (Price HH vs. Wave LH) • Adjustable OB/OS Volatility Thresholds • Price Chart & Oscillator Sync Lines 🔶 CORE CONCEPT — RELATIVE DELTA Standard cumulative delta indicators often run off the chart or reset at arbitrary times. DeltaPulse solves this by normalizing the Delta into a fixed range (-50 to +50). • Surge Intensity: The gradient fill expands as volume conviction increases, highlighting where "Smart Money" is most active. • Neutral Equilibrium: The wave oscillates around a zero baseline, marking the shift between aggressive buyer and seller control. 🔶 INTEGRATED DASHBOARD The script now features a customizable dashboard that provides real-time analytics without cluttering your workspace: Current Wave: Tracks the exact RDS value in real-time. Trend Status: Automatically identifies the prevailing market bias based on the zero-line crossover. Last Divergence: Keeps a record of the most recent signal (Bullish or Bearish) for quick reference. 🔶 ADVANCED DIVERGENCES & MARKERS The oscillator includes a sophisticated divergence engine that connects structural peaks and troughs. On-Chart Labels: High-visibility triangles with "Bull" and "Bear" text are plotted directly on price bars (using force_overlay ), ensuring you never miss a signal while focusing on price action. Filtering Logic: Only divergences with a minimum 5-bar gap are flagged, ensuring that only significant market shifts are identified. Sync Lines: Solid lines are drawn on both the Price Chart and the Oscillator, making it easy to see when price is being "pushed" higher on lower volume (Absorption). 🔶 HOW TO USE Absorption Reversals: Look for a Bearish Divergence (Red Triangle) at a major resistance zone. This signals that aggressive buying is decreasing even as price attempts to climb higher. Trend Strength: A healthy trend should be accompanied by the wave holding above the OB Threshold (25) for bullish runs or below the OS Threshold (-25) for bearish runs. Check the Dashboard to confirm the "Bullish/Bearish" trend state. Snap-Back Trades: When the wave reaches extreme levels (+/- 40), it signals an over-extension that often results in a mean-reversion move toward the zero baseline. 🔶 CONCLUSION DeltaPulse Wave reveals the "hidden fuel" of every market move. By filtering out minor fluctuations and providing both an on-chart signal system and a data-rich dashboard, it provides traders with a reliable tool for identifying institutional participation and trend exhaustion.
Pine Script® indicator
by ChartPrime
3
Volume Profile Fixed Range + Dynamic Anchored VWAP [Integrated]VP Fixed Range + Dynamic VWAP combines two professional tools for analyzing order flow and price behavior into a single advanced indicator: • Fixed Range Volume Profile • Dynamic Swing VWAP The goal is to provide a comprehensive view of market structure, highlighting where volume has been traded and how the price moves relative to value areas. This indicator is particularly useful for intraday traders, swing traders, and market structure analysts. 🔵 Fixed Range Volume Profile The Volume Profile module calculates the distribution of volume over a defined range of candles and displays it directly on the chart. Main Features: 1. Flexible Anchoring • Ability to anchor the profile to the left or right • Useful for historical analysis or forward projections 2. Value Area • Automatic Value Area calculation (default 70%) • Highlights areas where the main volume is concentrated 3. Point of Control (POC) • Identifies the level with the maximum volume • Displayed as a horizontal line and optional POC label 4. Buy vs. Sell Analysis Each profile bar displays the estimated percentage: %Buy - %Sell This allows you to identify: • accumulation zones • distribution zones • possible volume support and resistance 5. Complete Customization • Profile Resolution • Calculation Depth • Offset • Volume Up/Down Colors • Internal Percentage Display 🟢 Swing-Based Dynamic VWAP The second component of the indicator is a dynamic VWAP that automatically resets on market pivots. Instead of using fixed sessions, this VWAP: • automatically anchors to swing highs and swing lows • follows the trend structure Main features: 1. Swing detection • Automatic pivot identification via Swing Period 2. Dynamic VWAP reset • Each change in direction creates a new VWAP anchored to the swing 3. Market structure The following are automatically marked: • HH – Higher High • HL – Higher Low • LH – Lower High • LL – Lower Low This helps you read the market structure directly on the chart. 4. Adaptive Price Tracking Algorithm that adjusts the sensitivity of the VWAP based on volatility: • Optional adjustment via ATR ratio • Volatility Bias parameter The result is a more responsive VWAP during high volatility and more stable in slow markets. 📊 How to use this indicator Some common uses: • Volumetric support and resistance • POC as a price magnet • High/Low Value Area as key levels Trend confirmation • Price above dynamic VWAP → bullish bias • Price below dynamic VWAP → bearish bias Signal confluence The most interesting zones are when: • Dynamic VWAP • POC • Value Area align on the same price level. ⚙️ Main Parameters • Volume Profile • Calculation Depth • Resolution Rows • Value Area % • Anchoring Side • Volume Colors • Buy/Sell percentages • Dynamic VWAP • Swing Period • Adaptive Price Tracking • ATR Volatility Adaptation • VWAP Style and Colors ✔️ Ideal for • Futures trading • Crypto trading • Indices • Forex • Intraday analysis • Market structure analysis • Order flow context
Pine Script® indicator
by Colin1995