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Cumulative Delta_Effort vs Result_immy**Cumulative Delta Oscillator\_effort** This script creates a “Cumulative Delta Effort vs Result” oscillator, a custom indicator designed to measure the balance between buying and selling pressure (Effort) versus actual price movement (Result). **How It Works** Delta Volume: Measures aggressive buying vs selling per candle. Cumulative Delta: Tracks net buying/selling pressure over time. Effort vs Result: Compares volume delta (effort) to price movement (result). Oscillator: Highlights divergence between effort and result, useful for spotting absorption (high effort, low result) and exhaustion (low effort, high result). Histogram: Visual cue for accumulation/distribution zones. ---------------------------- This indicator combines volume delta (effort) and price movement (result), so it tells you how efficiently volume is moving price — a concept sometimes called effort vs. result analysis in Wyckoff or volume–spread analysis (VSA). 🔍 Concept Summary Effort (delta volume) = how much buying/selling pressure is there (volume side). Result (price change) = how much that effort moves price (price side). Oscillator (Effort − Result) = how much “extra” effort is not producing movement — often showing absorption or exhaustion. 📈 How to Interpret the Signals 1\. Oscillator above Signal line → Bullish Momentum When osc > signal, histogram turns green. Means buying effort is stronger than price reaction — often early sign of accumulation or rising demand. This can signal: Possible bullish continuation if confirmed by rising prices. Or early absorption if prices aren’t yet breaking out (smart money absorbing supply). ✅ Bullish Entry Signal: When the oscillator crosses above the signal line (green cross) and price is near support or consolidating → potential long setup. 2\. Oscillator below Signal line → Bearish Momentum When osc < signal, histogram turns red. Selling effort dominates; can mean increasing supply or price exhaustion. This often appears before: Bearish continuation (trend strengthening) Or upthrust/exhaustion (price rising on weak volume) ❌ Bearish Entry Signal: When the oscillator crosses below the signal line (red cross), especially if near resistance → potential short setup. 3\. Crossovers The alert is triggered when: ta.cross(osc, signal) That means: Bullish crossover: oscillator line crosses above signal → potential buy momentum shift. Bearish crossover: oscillator line crosses below signal → potential sell momentum shift. These work like MACD crossovers, but volume-adjusted. 4\. Zero Line The zero line is the neutral point. When osc crosses above zero, overall buying effort exceeds price change — market gaining strength. When osc crosses below zero, selling pressure increases — market weakening. → Combining signal line crosses with zero-line crosses gives stronger confirmation. 5\. Histogram Analysis (Absorption \& Exhaustion)** Tall green bars: rising momentum (buyers dominate) Tall red bars: falling momentum (sellers dominate) Shrinking bars: momentum fading — possible reversal zone. If volume increases but price stalls, oscillator may spike while price stays flat — absorption (big players taking the opposite side). If price surges but oscillator weakens, exhaustion — move running out of volume support. ------------------------------------------------------------------------ 🧠 Practical Strategy Example Situation What It Might Mean Possible Action Oscillator crosses above signal near support Buyer effort increasing, price may rise Go long / close shorts Oscillator crosses below signal near resistance Seller effort rising, price may drop Go short / take profits Oscillator high but price flat Absorption (big players absorbing supply) Wait for breakout confirmation Oscillator low but price flat Absorption (demand absorbing supply) Look for bullish reversal Oscillator diverges from price Volume–price divergence Early warning of reversal ⚙️ Best Practice Works best on volume-sensitive assets (futures, crypto, forex tick data). **Combine with:** Price structure (support/resistance) Volume profile / delta footprint Candle confirmation We’ll go through both bullish and bearish examples so you can see how to trade with it in real market context. --------------------------------------------------------------------------------- 🟩 Example 1 — Bullish Setup (Long Trade) Step 1. Context: Identify Potential Support Zone Before relying on any indicator, find support using: Previous swing low Demand zone VWAP / volume profile node Trendline or moving average 👉 You’re looking for a place where buyers might step in. Step 2. Wait for Oscillator Signal Watch the oscillator panel: The oscillator (green line) has been below the signal line (orange) → bearish phase. Then it crosses above the signal line and the histogram turns green. This means: ➡️ Buying “effort” is increasing faster than price reaction — momentum shift upward. Step 3. Confirm with Price On your chart: Candle closes above short-term resistance or above previous candle high Ideally volume confirms (green candle with increasing volume) ✅ Bullish Entry Condition osc crosses above signal price closes above local resistance Step 4. Entry \& Stop Entry: Next candle open after confirmation cross Stop-loss: Below recent swing low or support zone Take profit: 2R or 3R target or near next resistance level 🧠 Optional filter: Only take the trade if oscillator is rising from below zero (coming out of weakness). Step 5. Manage Trade If oscillator flattens or starts curling down → tighten stop If it crosses below the signal again → consider exit Example Interpretation: Oscillator crosses above signal from -200 to +100, histogram turns green, price breaks a resistance line → strong bullish reversal → enter long. 🟥 Example 2 — Bearish Setup (Short Trade) Step 1. Context: Find Resistance Look for: Prior swing high Supply zone Major moving average Trendline top Step 2. Wait for Oscillator Cross Down The oscillator (green) crosses below the signal line (orange). Histogram turns red. This means: ➡️ Selling effort is rising relative to price movement — bearish pressure. Step 3. Confirm with Price Price fails to make higher highs, or Forms a bearish engulfing candle near resistance. ✅ Bearish Entry Condition osc crosses below signal price confirms with bearish candle Step 4. Entry \& Stop Entry: On next candle open Stop-loss: Above resistance or recent swing high Take profit: 2R or more or at next major support Step 5. Exit on Opposite Signal If oscillator crosses back above signal → momentum shift → exit short. ⚙️ Pro Tips Tip Why It Matters Use on 15m–4H+ charts More reliable delta signal Combine with volume or OBV Confirms “effort” strength Watch divergences Early reversals Align with higher timeframe trend Avoid countertrend traps ------------------------------------------------------------------------------------------------- 🧩 Quick Checklist Step Condition Action 1 Identify zone (support/resistance) Mark area 2 Oscillator crossover Prepare order 3 Candle confirmation Enter 4 Stop-loss \& target Manage risk 5 Opposite cross Exit Please follow and like if you appreciate my work. thank you.
Pine Script® göstergesi
imr77 tarafından
RSI + MACD Multi-Timeframe StrategyThis strategy combines the Relative Strength Index (RSI) from the daily timeframe with the Moving Average Convergence Divergence (MACD) from the 4-hour timeframe to generate precise long entry and exit signals. The system uses a multi-timeframe approach to align longer-term trend conditions with shorter-term momentum shifts — allowing traders to catch dips with confirmation and exit before reversals. 🧠 Strategy Logic ✅ Long Entry Condition: - RSI on the daily (1D) timeframe is oversold (below your defined threshold) - MACD on the 4H timeframe crosses above the signal line → A long trade is opened when these two align ✅ Long Exit Condition: - RSI on the daily timeframe is overbought - MACD on the 4H timeframe crosses below the signal line → The long trade is closed when these two conditions are met 💡 This strategy currently supports long entries only. Short logic can be added if needed. 📊 Indicator Components 🔹 RSI (Relative Strength Index): - A momentum oscillator that measures the speed and magnitude of price changes. - Helps identify overbought (potential sell) and oversold (potential buy) conditions. - Applied on the 1D timeframe (by default) to reflect broader market trend or exhaustion levels. 🔹 MACD (Moving Average Convergence Divergence): - A trend-following momentum indicator based on moving averages. - The MACD Line (fast EMA - slow EMA) crossing above the Signal Line indicates bullish momentum. - Used here on the 4-hour timeframe (by default) for shorter-term momentum confirmation. 🔹 Multi-Timeframe (MTF) Logic: - Uses request.security() to pull higher timeframe data (1D for RSI, 4H for MACD). - Ensures no repainting, as it only uses closed candles from the higher timeframe. - Aligns longer-term signals with shorter-term entries, reducing false signals. 📈 Plotting Options The script includes a plot selector input allowing you to toggle between: - RSI Plot (with overbought/oversold lines) - MACD Plot (MACD line and signal line) - This helps visualize signal conditions clearly on your chart. 🛠 Customization - RSI & MACD settings are fully configurable - RSI and MACD timeframes can be adjusted independently ⚠️ Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any asset. Past performance does not guarantee future results. Always test strategies in a simulated environment before live use, and consult with a licensed financial advisor for investment decisions.
Pine Script® stratejisi
RWCS_LTD tarafından
2
Fisher MPzFisher MPz - Multi-Period Z-Score Fisher Transform Overview An enhanced Fisher Transform that uses multi-period analysis and improved statistical methods to provide more reliable trading signals with the goal of fewer false positives. Evolution Beyond Traditional Fisher Transform While the classic Fisher Transform uses simple price normalization and basic smoothing, Fisher MPz introduces several key enhancements: - Multi-period composite instead of single timeframe analysis - Robust z-score normalization using median/MAD rather than mean/standard deviation - Winsorization to handle outliers and price spikes - Dynamic clipping that adapts to market volatility - Kalman filtering for superior noise reduction vs. traditional EMA smoothing These improvements result in cleaner signals, better adaptability to different market conditions, handles trending markets without over-saturation at extreme values, and reduced false signals compared to the standard Fisher Transform. Key Features Multi-Period Analysis - Three Timeframe Approach: Simultaneously analyzes short (default 8), medium (default 13), and long (default 26) periods - Weighted Composite: Combines all three periods using customizable weights for optimal signal generation - Individual Period Display: Optional visualization of each period's Fisher Transform for deeper analysis Advanced Statistical Methods Robust Z-Score Calculation - Uses median and MAD (Median Absolute Deviation) instead of mean and standard deviation - More resistant to outliers and extreme price movements - Provides stable normalization across varying market conditions Winsorization - Caps extreme price values at specified percentiles (default 5th and 95th) - Reduces the impact of price spikes and anomalies - Configurable lookback period for threshold calculation Dynamic Z-Score Clipping - Automatically adjusts clipping levels based on recent volatility - Tighter bounds in calm markets (0.05) for precision - Wider bounds in volatile markets (0.2) to capture significant moves - Uses ATR-based volatility measurement Kalman Filter Smoothing - Optional advanced noise reduction using Kalman filtering - Superior to traditional EMA smoothing for optimal signal extraction - Configurable process noise (Q) and measurement noise (R) parameters - Fallback to traditional smoothing factor available How to Use Basic Interpretation - Above Zero: Bullish momentum - Below Zero: Bearish momentum - Extreme Values: Potential overbought/oversold conditions - Crossovers: Entry/exit signals when composite crosses trigger line Customizable Settings Periods: Adjust based on your trading timeframe - Lower values (3-10): More sensitive, suitable for scalping - Medium values (10-20): Balanced for swing trading - Higher values (20-50): Smoother for position trading Weights: Customize responsiveness - Increase short weight: More reactive to recent price changes - Increase long weight: More stability and trend confirmation Kalman Settings - Lower Q (0.001-0.02): Smoother, more filtered signals - Higher Q (0.02-0.1): More responsive to price changes - Lower R (0.01-0.05): Trust data more, less filtering - Higher R (0.1-1.0): More skeptical of data, more smoothing
Pine Script® göstergesi
B3AR_Trades tarafından
True Strength Index with Crossovers Alerts🚀 True Strength Index (TSI) with Visual Crossover Alerts Hey everyone! I’m sharing my customized True Strength Index (TSI) indicator, which I've boosted with clear visual signals and alert conditions based on my personal, high-probability trading strategy. The True Strength Index is a powerful, oscillation-based momentum indicator that smooths price movements twice using Exponential Moving Averages (EMAs). This double-smoothing process helps to filter out market noise, giving you a much clearer view of momentum changes than basic indicators. 🛠️ How This Script Works This script focuses on the crucial interaction between the TSI line and its Signal Line: TSI Line (Blue): Tracks momentum direction and strength. Signal Line (Red): A simple EMA of the TSI line, used to determine short-term trend shifts. Visual Buy/Sell Signals: To make signals impossible to miss, I've added distinct visual markers: 🟢 Green Dot: A "Buy Signal" is plotted at the bottom of the indicator pane when the TSI crosses above the Signal Line (bullish crossover). 🔴 Red Dot: A "Sell Signal" is plotted at the bottom when the TSI crosses below the Signal Line (bearish crossover). Additionally, I've included named alertconditions so you can set up real-time notifications for these exact crossovers in the TradingView Alert system. 🧠 My Trading Logic: Combining TSI with RSI I don't use the TSI in isolation. My favorite approach is to use this TSI indicator as a timing tool, but only when it aligns with the overall momentum context defined by the Relative Strength Index (RSI). This is the key to my strategy: Bullish Trade Filter: I only take a BUY signal (Green Dot) when my RSI indicator is already in a bullish territory (above 50). Bearish Trade Filter: I only take a SELL signal (Red Dot) when my RSI indicator is already in a bearish territory (below 50). This combination ensures you are trading with the underlying momentum trend, improving the probability of success. ⚙️ My Recommended Custom Settings For the best results with this strategy, I recommend using the following custom settings. You can enter these values in the "Inputs" tab when adding the indicator to your chart. 1. TSI (Alerts) Settings Long Length - 60 Higher value for smoother price change data. Short Length -30 Medium-term smoothing for clearer momentum shifts. Signal Length - 9 Short length for a responsive signal line. 2. Companion RSI Settings (RSI+) RSI Length - 150 A long look-back period for highly accurate trend filtering. MA1 Length - 60 Used for additional smoothing. MA2 Length - 150 Used for powerful trend confluence.
Pine Script® göstergesi
Charted_Trades tarafından
MILLION MEN - Zone ScannerWhat it is MILLION MEN - Zone Scanner is a context-driven momentum tool that visualizes trend regimes (bullish / bearish) and highlights the first-touch opportunity within each regime’s reactive zones. It’s designed to help traders identify pullbacks inside an existing bias rather than chasing breakouts. How it works Uses a custom RSI-style momentum meter calculated from RMA of up/down moves. When the meter > upper threshold → Green Regime. When the meter < lower threshold → Red Regime. Defines LONG Zone (34 – 40) and SHORT Zone (60 – 70) for mean-reversion touches. Prints L FT or S FT on the first confirmed touch after a regime turns on. Optional candle-color filter (green bar for LONG / red bar for SHORT). Exit signals trigger once the meter revisits the regime boundary. Optional Neon Glow styling improves visual clarity without clutter. How to use Identify regime direction (green = bullish bias, red = bearish bias). Wait for the first touch into the relevant zone. Confirm with higher-time-frame structure or volume context. Manage position or exit once the meter retests its regime limit. Use it as a context tool, not an auto-entry system. Originality & Value This script enforces discipline by allowing only one signal per regime, reducing over-trading and noise. The zone visualization and glow layers offer a clean, cinematic UI consistent with the MILLION MEN visual standard. Limitations & Transparency Works best on standard candlesticks and normal-time frames (tested on BTC, ETH, XRP, BNB, XAUUSD). No look-ahead or future data. Signals are bar-close confirmed (barstate.isconfirmed). Educational tool — not financial advice. Free Protected Version Published for public educational use under the MILLION MEN framework. Core logic is protected to maintain script integrity.
Pine Script® göstergesi
MILLION_MEN tarafından
W%R Pullback+EMA Trend [TS_Indie]🔰 Core Concept of the Strategy The main idea is “Trend-Following with Momentum Pullback.” This means trading in the direction of the main trend (defined by EMA) while using Williams %R to identify pullback entries (buying the dip or selling the rally) where momentum returns to the trend direction. 📊 Indicators Used 1. EMA Fast – Defines the short-term trend. 2. EMA Slow – Defines the long-term trend (used as a trend filter). 3. Williams %R • Overbought zone: above -20 • Oversold zone: below -80 ⚙️ Entry Rules 🔹 Buy Setup 1. EMA Fast > EMA Slow → Uptrend condition. 2. Williams %R on the previous candle dropped below -80, and on the current candle, it crosses back above -80 → indicates momentum returning to the upside. 3. Current close is above EMA Fast. 4. Entry Buy at the close of the candle where %R crosses above -80. 🎯 Entry, Stop Loss, and Take Profit 1. Entry : At the candle close where the signal occurs. 2. Stop Loss : At the lowest low between the current and previous candles. 3. Take Profit : Calculated based on entry price and stop loss distance multiplied by the Risk/Reward Ratio. 🔹 Sell Setup 1. EMA Fast < EMA Slow → Downtrend condition. 2. Williams %R on the previous candle went above -20, and on the current candle, it crosses back below -20 → indicates renewed selling momentum. 3. Current price is below EMA Fast. 4. Entry Sell at the close of the candle where %R crosses below -20. 🎯 Entry, Stop Loss, and Take Profit 1. Entry : At the candle close where the signal occurs. 2. Stop Loss : At the highest high between the current and previous candles. 3. Take Profit : Calculated based on entry price and stop loss distance multiplied by the Risk/Reward Ratio. ⚙️ Optional Parameters • Custom Risk/Reward Ratio for Take Profit. • Option to add ATR buffer to Stop Loss. • Adjustable EMA Fast period. • Adjustable EMA Slow period. • Adjustable Williams %R period. • Option to enable Long only / Short only positions. • Customizable Backtest start and end date. • Customizable trading session time. ⏰ Alert Function Alerts display: • Entry price • Stop Loss price • Take Profit price Guys, try adjusting the parameters yourselves! I’ve been tweaking the settings for several days and managed to get great results on XAU/USD in the 5-minute timeframe. I think this strategy is quite interesting and could potentially deliver good results on other instruments as well. ⚠️ Disclaimer This indicator is designed for educational and research purposes only. It does not guarantee profits and should not be considered financial advice. Trading in financial markets involves significant risk, including the potential loss of capital.
Pine Script® stratejisi
Truth_Strategy_Indie tarafından
2
RSI EMA Crossover with Price ActionThe RSI and RSI's EMA Crossover with Price Action (1:2 Risk-Reward) strategy combines Momentum, Trend confirmation, and Basic price-action logic to generate high-probability trade setups with Proper Risk Management. This script identifies entries when the RSI crosses a key threshold and aligns with an RSI - EMA crossover, confirming Exhaustion of a current trend and Price action confirms the Change in Trend direction. It integrates price action filters to avoid false signals during low-volatility or choppy conditions. The strategy also includes a risk-management module, setting a fixed 1:2 risk-to-reward ratio — automatically placing a take-profit target twice the size of the stop loss. Also the Stop loss can be adjusted to nearest swing low or last 3 candles Low. to avoid Stoploss hunt. Features ✅ RSI and EMA crossover confirmation for directional bias ✅ Basic price-action validation (optional filters) ✅ Configurable stop-loss and take-profit levels (default 1:2) ✅ Visual trade markers for entries and exits Disclaimer: This script is intended for educational and research purposes only. It should not be considered financial advice or a guaranteed trading system. Users are encouraged to test and optimize parameters before using in live markets.
Pine Script® göstergesi
earnwhileulearn tarafından
2
nOI + Funding + CVD • strategynOI + Funding + CVD Strategy Overview This strategy is designed for cryptocurrency trading on platforms like TradingView, focusing on perpetual futures markets. It combines three key indicators—Normalized Open Interest (nOI), Funding Rate, and Cumulative Volume Delta (CVD)—to generate buy and sell signals for long and short positions. The strategy aims to capitalize on market imbalances, such as overextended open interest, funding rate extremes, and volume deltas, which often signal potential reversals or continuations in trending markets. The script supports pyramiding (up to 10 positions), uses percentage-based position sizing (default 10% of equity per trade), and allows customization of trade directions (longs and shorts can be enabled/disabled independently). It includes multiple signal systems for entries, various exit mechanisms (including stop-loss, take-profit, time-based exits, and conditional closes based on indicators), a Martingale add-on system for averaging positions during drawdowns, and handling of opposite signals (ignore, close, or reverse). This strategy is not financial advice; backtest thoroughly and use at your own risk. It requires data sources for Open Interest (OI) and Funding Rates, which are fetched via TradingView's security functions (e.g., from Binance for funding premiums). Key Indicators 1. Normalized Open Interest (nOI) Group: Open Interest Purpose: Measures the relative level of open interest over a lookback window to identify overbought (high OI) or oversold (low OI) conditions, which can indicate potential exhaustion in trends. Calculation: Fetches OI data (close) from the symbol's standard ticker (e.g., "{symbol}_OI"). Normalizes OI within a user-defined window (default: 500 bars) using min-max scaling: (OI - min_OI) / (max_OI - min_OI) * 100. Upper threshold (default: 70%): Signals potential short opportunities when crossed from above. Lower threshold (default: 30%): Signals potential long opportunities when crossed from below. Visualization: Plotted as a line (teal above upper, red below lower, gray in between). Horizontal lines at upper, mid (50%), lower, and a separator at 102%. Notes: Handles non-crypto symbols by adjusting timeframe to daily if intraday. Errors if no OI data available. 2. Funding Rate Group: Funding Rate Purpose: Tracks the average funding rate (premium index) to detect market sentiment extremes. Positive funding suggests bull bias (longs pay shorts), negative suggests bear bias. Calculation: Fetches premium index data from Binance (e.g., "binance:{base}usdt_premium"). Supports lower timeframe aggregation (default: enabled, using 1-min TF) for smoother data. Averages open and close premiums, clamps values, and scales/shifts for plotting (base: 150, scale: 1000x). Upper threshold (default: 1.0%): Overheat for shorts. Lower threshold (default: 1.0%): Overcool for longs. Ultra level (default: 1.8%): Extreme for additional short signals. Smoothing: Uses inverse weighted moving average (IWMA) or lower-TF aggregation to reduce noise. Visualization: Shifted plot (green positive, red negative) with filled areas. Horizontal lines for overheat, overcool, base (0%), and ultra. Notes: Custom ticker option for non-standard symbols. 3. Cumulative Volume Delta (CVD) Group: CVD (Cumulative Volume Delta) Purpose: Measures net buying/selling pressure via volume delta, normalized to identify divergences or confirmations with price. Calculation: Delta: +volume if close > open, -volume if close < open. Cumulative: Rolling cumsum over a window (default: 500 bars), smoothed with EMA (default: 20). Normalized: Scaled by absolute max in window (-1 to 1 range). Scaled/shifted for plotting (base: 300 or 0 if anchored, scale: 120x). Upper threshold (default: 1.0%): Over for shorts. Lower threshold (default: 1.0%): Under for longs. Visualization: Shifted plot (aqua positive, purple negative) with filled areas. Horizontal lines for over, under, and separator (default: 252). Filter Options (for Signal A): Enable filter (default: false). Require sign match (Long ≥0, Short ≤0). Require extreme zones. Require momentum (rising/falling over N bars, default: 3). Signal Logics for Entries Entries are triggered by buy/sell signals from multiple systems (A, B, C, D), filtered by direction toggles and entry conditions. Signal System A: OI + Funding (with optional CVD filter) Enabled: Default true. Sell (Short): nOI > upper threshold, falling over N bars (default: 3), delta ≥ threshold (default: 3%), funding > overheat, and CVD filter OK. Buy (Long): nOI < lower threshold, rising over N bars (default: 3), delta ≥ threshold (default: 3%), funding < overcool, and CVD filter OK. Signal System B: Short - Funding Crossunder + Filters Enabled: Default true. Sell (Short): Funding crosses under overheat level, optional: CVD > over, nOI < upper. Signal System C: Short - Ultra Funding Enabled: Default false. Sell (Short): Funding crosses ultra level (up or down, both default true). Signal System D: Long - Funding Crossover + Filters Enabled: Default true. Buy (Long): Funding crosses over overcool level, optional: CVD < under, nOI > lower. Combined: Sell if A/B/C active; Buy if A/D active. Entry Filters Cooldown: Optional pause between entries (default: false, 3 bars). Max Entries: Limit pyramiding (default: true, 6 max). Entries only if both filters pass and direction allowed. Opposite Signal Handling Mode: Ignore (default), Reverse (close and enter opposite), or Close (exit only). Processed before regular entries. Position Management Martingale (3 Steps): Enabled per step (default: all true). Triggers add-ons at loss levels (defaults: 5%, 8%, 11%) by adding % to position (default: 100% each). Resets on position close. Break Even: Enabled (default: true). Activates at profit threshold (default: 5%), sets SL better by offset (default: 0.1%). Exit Systems Multiple exits checked in sequence. Exit 1: SL/TP Enabled: Separate for long/short (default: true). SL: % from avg price (defaults: 1% long/short). TP: % from avg price (defaults: 2% long/short). Exit 2: Funding Enabled: Separate for long (up) / short (down) (default: true). Long Exit: Funding > upper exit threshold (default: 0.8%). Short Exit: Funding < lower exit threshold (default: 0.8%). Exit 3: nOI Enabled: Separate for long (up) / short (down) (default: true). Long Exit: nOI > upper exit (default: 85%). Short Exit: nOI < lower exit (default: 15%). Exit 4: Global SL Enabled: Default true. Exit: If position loss ≥ % (default: 7%). Exit 5: Break Even (integrated in position block) Exit 6: Time Limit Enabled: Separate for long/short (default: true). Exit: After N bars in trade (defaults: 30 each). Timer updates on add-ons if enabled (default: true). Visual Elements Buy/Sell Labels: Small labels ("BUY"/"SELL") on bars with signals, limited to last 30. All indicators plotted on a separate pane (overlay=false). Usage Notes Backtesting: Adjust parameters based on asset/timeframe. Test on historical data. Data Requirements: Works best on crypto perps with OI and funding data. Risk Management: Incorporates SL/TP and global SL; monitor drawdowns with Martingale. Customization: All thresholds, enables, and scales are inputs for fine-tuning. Version: Pine Script v6. For questions or improvements, contact the author. Happy trading!
Pine Script® stratejisi
RezzoRedPriest tarafından
VMS Multi Index Options Buying Indicator📊 VMS Multi-Index Options Buying Indicator – Consolidated Overview ________________________________________ 🎯 What It Is A professional-grade options trading system that analyses multiple technical parameters to generate quantified buy signals for call and put options. It includes: • Integrated risk management • Multi-layered confirmation • Quantified strength scores ________________________________________ ⚡ Core Functionality • Dual Analysis System: Call and put analysis running simultaneously • Multi-Timeframe Analysis: Intraday to swing trading • Quantified Scoring: Objective 0–7 strength scoring system • Holistic Market View: Combines technicals, levels, volume, and momentum into a single signal ________________________________________ 🔧 Technical Components 1. VMS Core Momentum System • VMS SQZM Momentum: Primary oscillator (must be positive for both calls and puts) • VMS Index Trends: Short-term and medium-term alignment • Strength Scoring: 7-point system evaluating multiple parameters 2. Support/Resistance Levels (L0–L10) Level Significance Options Trading Application L00–L02 Strong Support Ideal for CALL BUY entries L05 Critical Decision Point Wait for confirmation L08–L9 Strong Resistance Ideal for PUT BUY entries 3. ATR Trend System • Green Lines: Bullish momentum (favour calls) • Red Lines: Bearish momentum (favour puts) • ▲/▼ Triangles: Primary entry signals • +L/+S Signals: Add-to-position opportunities 4. Volume Confirmation • Real-time buy/sell volume analysis • Cumulative volume trends • Bullish/bearish candle counts • Net volume direction confirmation 5. Spread Analysis • Call-put spread direction and momentum • Market sentiment gauge • Options flow implications ________________________________________ 📈 Signal Generation Strength-Based Signals • STRONG BUY: ≥4/7 strength points + clear advantage • WEAK BUY: 3–3.9/7 strength points + modest advantage • NO TRADE: All other scenarios Critical Rules • Both call and put VMS SQZM must be positive for any trade • A clear strength advantage is required over the opposite option • Volume confirmation enhances signal reliability ________________________________________ 🧩 Ideal Trade Setups Call Buy Setup if (call_strength >= 4 and call_strength > put_strength and val_call > 0 and val_put > 0 and ATR_trend_green and price_near_support and volume_bullish and spread_positive_expanding): execute_strong_call_buy() Put Buy Setup if (put_strength >= 4 and put_strength > call_strength and val_put > 0 and val_call > 0 and ATR_trend_red and price_near_resistance and volume_bearish and spread_negative_contracting): execute_strong_put_buy() ________________________________________ 📊 Dashboard Interpretation Guide Section Call Buy Signal Put Buy Signal Critical Check Spread Positive + Expanding Negative + Contracting Must confirm direction VMS SQZM Green + Positive Green + Positive Both must be positive Strength ≥4 & > Put ≥4 & > Call Primary decision factor Squeeze "ON" preferred "ON" preferred Increases probability Levels Near L00–L02 Near L08–L10 Confluence adds confidence ATR Green + Rising Red + Falling Trend alignment Volume Bullish patterns Bearish patterns Must confirm signal ________________________________________ ⏰ Timeframe-Specific Strategies Intraday Trading (5–15 min) • Monitor strength changes every candle • Use +L/+S for quick scalp entries • Exit before last 30 minutes • Tighter stops (50% premium) Swing Trading (1H–Daily) • Require ≥4.5 strength scores • Focus on major level breaks (L00, L05, L10) • Use wider stops (60% premium) • Hold until the opposite signal generation ________________________________________ 🛡️ Risk Management Integration • Automatic position sizing based on signal strength • Built-in exit triggers and stop-loss levels • Daily trade limits and risk controls ________________________________________ 💡 Unique Value • Quantified scoring removes emotional trading • Multiple confirmation layers reduce false signals • Comprehensive dashboard for quick decision-making • Options-specific analysis (not generic indicators) ________________________________________ 🚨 Quick Decision Flowchart 1. Start → Check strength scores 2. Call ≥4 & > Put? → Yes → Check VMS SQZM >0? → Yes → ✅ Strong Call Buy 3. Put ≥4 & > Call? → Yes → Check VMS SQZM >0? → Yes → ✅ Strong Put Buy 4. Call ≥3 & > Put? → Yes → ✅ Weak Call Buy (reduced size) 5. Put ≥3 & > Call? → Yes → ✅ Weak Put Buy (reduced size) 6. ❌ No Trade – Wait for better setup ________________________________________ ⚠️ Important Note This is a decision support tool – not a guaranteed profit system. It requires: • Proper risk management • Trading experience • Integration into a comprehensive trading strategy Ideal for traders who want a systematic approach, objective signals, options focus, and multiple confirmation layers. 🎯 VMS Multi-Index Options Buying Indicator - MASTER CHEAT SHEET 📊 QUICK DECISION MATRIX 🟢 CALL BUY SIGNALS (All Must Align) Component Strong Signal Weak Signal Strength ≥4 & > Put 3-3.9 & > Put VMS SQZM Both Positive Both Positive Spread Positive + Expanding Positive ATR Green + Rising Green Levels L00-L02 Near Support Volume Bullish Confirmed Mixed Bullish Squeeze ON Any 🔴 PUT BUY SIGNALS (All Must Align) Component Strong Signal Weak Signal Strength ≥4 & > Call 3-3.9 & > Call VMS SQZM Both Positive Both Positive Spread Negative + Contracting Negative ATR Red + Falling Red Levels L08-L10 Near Resistance Volume Bearish Confirmed Mixed Bearish Squeeze ON Any ________________________________________ ⚡ INSTANT EXECUTION RULES ✅ STRONG TRADES (High Conviction) # STRONG CALL BUY if (call_strength >= 4 and call_strength > put_strength and val_call > 0 and val_put > 0): execute_call_buy() # STRONG PUT BUY if (put_strength >= 4 and put_strength > call_strength and val_put > 0 and val_call > 0): execute_put_buy() 🟡 WEAK TRADES (Reduced Size Only) if strength >= 3 and strength > opposite_strength: execute_weak_trade() # 30-50% normal size ❌ NO TRADE CONDITIONS if (any_vms_sqzm_negative or both_strengths >= 3 or strength < 3 or no_clear_advantage): AVOID_TRADE() ________________________________________ 🎯 CONFIRMATION HIERARCHY PERFECT CALL SETUP 1. ✅ Strength: Call ≥4, Put < Call 2. ✅ VMS SQZM: Both positive 3. ✅ Spread: Positive & Expanding 4. ✅ ATR: Green + Rising 5. ✅ Levels: Near L00-L02 support 6. ✅ Volume: Bullish confirmation 7. ✅ Squeeze: ON PERFECT PUT SETUP 1. ✅ Strength: Put ≥4, Call < Put 2. ✅ VMS SQZM: Both positive 3. ✅ Spread: Negative & Contracting 4. ✅ ATR: Red + Falling 5. ✅ Levels: Near L08-L10 resistance 6. ✅ Volume: Bearish confirmation 7. ✅ Squeeze: ON ________________________________________ 📈 POSITION MANAGEMENT 🎚️ Sizing Matrix Signal Strength Position Size Stop Loss Profit Target ≥4 (STRONG) 70-80% normal 50-60% premium 1:1 R:R + Trail 3-3.9 (WEAK) 30-50% normal 40-50% premium Quick 1:1 <3 (NO TRADE) 0% N/A N/A 🚪 Exit Triggers • Stop Loss: 50-60% premium loss OR VMS SQZM turns negative • Profit Taking: 50% at 1:1, trail balance using VMS Index • Signal Exit: Opposite strength reaches ≥3 OR current strength drops below entry ________________________________________ ⏰ TIMEFRAME STRATEGIES 🔄 Intraday (5-15 min) • Monitor strength changes every candle • Exit before last 30 minutes • Tighter stops (50% premium) • Use +L/+S for quick scalps 📅 Swing (1H-Daily) • Require ≥4.5 strength scores • Focus on major level breaks • Wider stops (60% premium) • Hold until opposite signal ________________________________________ 🛡️ RISK MANAGEMENT 📉 Daily Limits • Max Trades: 3 per day • Max Risk: 2% capital per trade • Loss Limit: Stop after 2 consecutive losses • Portfolio: Never trade both call/put simultaneously 🧠 Psychological Rules 1. Wait for clear signals - don't force 2. Respect strength scoring - no overrides 3. Stick to position sizing - no revenge trading 4. Accept "NO TRADE" as valid outcome ________________________________________ 🚀 QUICK START FLOW 1. CHECK Strength Scores 2. CONFIRM VMS SQZM Both Positive 3. VALIDATE Spread Direction 4. ALIGN ATR Trend 5. CONFIRM Volume & Levels 6. EXECUTE or WAIT ________________________________________ 📊 VMS DASHBOARD FLOWCHART START → Check Strength Scores ↓ → YES → → YES → 🟢 STRONG CALL ↓ NO ↓ NO → YES → → YES → 🔴 STRONG PUT ↓ NO ↓ NO → YES → 🟡 WEAK CALL (Reduce Size) ↓ NO → YES → 🟡 WEAK PUT (Reduce Size) ↓ NO ❌ NO TRADE - Wait ________________________________________ ⚠️ CRITICAL REMINDERS • MUST: Both VMS SQZM positive for ANY trade • MUST: Clear strength advantage (≥0.5 difference) • PREFER: Volume confirmation for maximum size • AVOID: Trading during news events • RESPECT: Daily risk limits ________________________________________ 💡 SUCCESS FORMULA Patience + Confirmation + Risk Management = Consistent Results Wait for ≥4 strength signals with multiple confirmations, always use proper position sizing, and journal every trade. Happy Trading! 📈 Remember: This system provides probabilities, not guarantees. Always trade with proper risk management and within your financial means.
Pine Script® göstergesi
madhavbbs tarafından
Delta ROC (acceleration) + GuideStan Druckenmiller often stresses that markets are driven not by absolute numbers but by their rate of change. He says the key is to “focus on the central banks and the movement of liquidity,” and notes that “because it used second-derivative rate of change, these things will often bottom a year to a year and a half before the fundamentals.” In essence, he looks for inflection points—moments when momentum itself begins to turn—well before the data or headlines confirm it. The ΔROC (Delta Rate of Change) indicator applies that same philosophy. It measures both the first derivative of price (ROC: speed or momentum) and the second derivative (ΔROC: acceleration or deceleration of that momentum). Green bars signal that momentum is accelerating—buyers gaining control—while red bars show slowing momentum or exhaustion. Combine this with trend filters like the 30- and 50-day moving averages to spot early shifts in sentiment and liquidity—the kind of turning points Druckenmiller calls the “second-derivative moments” that often lead the real economy by months.
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GoyalKapil354 tarafından
Emerson v8.4 – Kulture Metrics🜂 Emerson v8.4 – Kulture Metrics “When volatility breathes, probability answers.” The Emerson Engine isn’t another indicator—it’s a precision instrument built to exploit the hidden mathematics of motion. Born from Kulture Metrics’ Nosreme lineage, this model fuses trend architecture, volatility anatomy, and Linetsky’s path-integral weighting into one living signal core. It doesn’t predict — it quantifies belief. Each trigger passes through three unforgiving filters: Classical Trend & Momentum Logic — directional strength, pure and unadulterated. Squeeze Regime Anticipation — volatility compression before the break. Path-Integral Confirmation — stochastic payoffs weighted by risk-free discounting and volatility density. The result? Only signals where the math, the market, and the moment all align — Absolute Confirmations. No noise. No guessing. No emotion. In practice, Emerson waits. It calculates. Then it strikes with surgical precision — entries that respect volatility, discount rates, and expected path contributions like a derivatives desk built into your chart. Each decision point carries the full weight of stochastic probability theory — the same principles driving modern option pricing — yet distilled into something you can read at a glance. Benefits that separate you from the herd: ✅ Trades filtered by volatility percentile and expected payoff distribution — not gut feel. ✅ Dotted bias line reveals the “probabilistic current” beneath price itself. ✅ Alerts trigger only when logic, momentum, and probability form a unanimous verdict. ✅ Dynamic macro-window shading adapts to volatility pressure in real time. ✅ Every entry inherently respects your risk, target, and discounting horizon. Emerson v8.4 doesn’t ask the market what’s happening — it tells it what must happen next, given the probabilities. It’s not designed to comfort. It’s designed to confirm. Kulture Metrics. Built for traders who understand that randomness is just order not yet resolved.
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kulturemetrics tarafından
RSI Divergence DetectorOverview The RSI Divergence Detector is a comprehensive technical analysis tool designed to identify both regular and hidden divergences between price action and the Relative Strength Index (RSI). This indicator helps traders spot potential trend reversals and continuations by automatically detecting when price movements diverge from RSI momentum. What are Divergences? Regular Divergences signal potential trend reversals: Bullish Divergence: Price makes a lower low while RSI makes a higher low → Potential upward reversal Bearish Divergence: Price makes a higher high while RSI makes a lower high → Potential downward reversal Hidden Divergences signal trend continuation: Hidden Bullish Divergence: Price makes a higher low while RSI makes a lower low → Uptrend continuation Hidden Bearish Divergence: Price makes a lower high while RSI makes a higher high → Downtrend continuation Automatic Divergence Detection Detects all four types of divergences automatically Draws connecting lines between divergence points on the RSI Labels each divergence with clear text indicators ("Bull", "Bear", "HBull", "HBear") Independent toggle switches for each divergence type Dynamic RSI Display RSI line changes color based on momentum: Green when RSI is above 50 (bullish momentum) Red when RSI is below 50 (bearish momentum) Standard overbought (70) and oversold (30) levels marked Shaded background zones for overbought/oversold areas Pivot Detection System Adjustable pivot lookback period (default: 4 bars) Visual pivot markers at tops and bottoms of RSI Configurable maximum divergence range (default: 60 bars) Adjust the setting to you desired sensitivity on each timeframe. Full Customization Suite Label Customization: Choose label size (Tiny, Small, Normal, Large, Huge) Separate color selection for each divergence type Adjustable transparency (0-100%) Line Customization: Independent color control for bullish and bearish lines Line style options for each type (Solid, Dashed, Dotted) Default: Regular divergences use dashed lines, hidden divergences use dotted lines Visual Settings: Customizable overbought/oversold zone colors and transparency Gray horizontal reference lines (70, 50, 30) Pivot markers with adjustable visibility Default Settings RSI Length: 14 periods Pivot Lookback: 4 bars Max Divergence Range: 60 bars Label Size: Normal Bullish Color: #4CAF50 (Material Green) Bearish Color: #FF5252 (Material Red) Regular Line Style: Dashed Hidden Line Style: Dotted How to Use Customize Settings: Adjust colors, line styles, and detection parameters to your preference Toggle Divergence Types: Enable/disable specific divergence types based on your trading strategy Identify Signals: Look for labeled divergences with connecting lines on the RSI pane Confirm with Price Action: Use divergences in conjunction with other technical analysis tools Best Practices Regular Divergences: Best used to spot potential reversals at market extremes Hidden Divergences: Best used to identify pullback entry points in trending markets Confirmation: Always wait for price confirmation before entering trades based on divergences Multiple Timeframes: Check for divergences across multiple timeframes for stronger signals Risk Management: Use proper stop-losses as not all divergences lead to reversals Technical Specifications PineScript Version: v6 Indicator Type: Oscillator (separate pane) Maximum Lines: 500 Calculation Method: Pivot-based divergence detection using price and RSI comparisons
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xrischosser tarafından
MPO4 Lines – Modal Engine█ OVERVIEW MPO4 Lines – Modal Engine is an advanced multi-line modal oscillator for TradingView, designed to detect momentum shifts, trend strength, and reversal points through candle-based pressure analysis with multiple fast lines and a reference slow line. It features divergence detection on Fast Line A, overbought/oversold return signals, dynamic coloring modes, and layered gradient visualizations for enhanced clarity and decision-making. █ CONCEPT The indicator is built upon the Market Pressure Oscillator (MPO) and serves as its expanded evolution, aimed at enabling broader market analysis through multiple lines with varying parameters. It calculates modal pressure using candle body size and direction, weighted against average body size over a lookback period, then normalized and smoothed via EMA. It generates four distinct oscillator lines: a heavily smoothed Slow Line (trend reference), two Fast Lines (A & B) for momentum and support/resistance, and an optional Line 4 for additional confirmation. Divergence is calculated solely on Fast Line A, with visual gradients between lines and bands for intuitive interpretation. █ WHY USE IT? - Multi-Layer Momentum: Combines slow trend reference with dual fast lines for precise entry/exit timing. - Divergence Precision: Bullish/bearish divergences on Fast Line A with labeled confirmation. - OB/OS Return Signals: Clear buy/sell markers when Fast Line A exits oversold/overbought zones. - Dynamic Visuals: Gradient fills, line-to-line shading, and band gradients for instant market state recognition. - Flexible Coloring: Slow Line color by direction or zero-position; fast lines by sign. - Full Customization: Independent lengths, smoothing, visibility, and transparency — by adjusting the lengths of different lines, you can tailor results for various strategies; for example, enabling Line 4 and tuning its length allows trading based on crossovers between different lines. █ HOW IT WORKS? - Candle Pressure Calculation: Body = math.abs(close - open); avgBody = ta.sma(body, len). Direction = +1 (bull), –1 (bear), 0 (neutral). Weight = body / avgBody. Contribution = direction × weight. - Rolling Sum & Normalization: Sums contributions over lookback, normalizes to ±100 scale (÷ (len × 2) × 100). Smoothing: Applies primary EMA (smoothLen), with extra EMA on Slow Line for stability. Line Structure: - Slow Line = calcCPO(len1=20, smoothLen1=5) → extra EMA (5) - Fast Line A = calcCPO(len2=6, smoothLen2=7) - Fast Line B = calcCPO(len3=6, smoothLen3=10) - Line 4 = calcCPO(len4=14, smoothLen4=1) Divergence Detection: Uses ta.pivothigh/low on price and Fast Line A (pivotLength left/right). Bullish: lower price low + higher osc low. Bearish: higher price high + lower osc high. Valid within 5–60 bar window. Signals: - Buy: Fast Line A crosses above oversold (–30) - Sell: Fast Line A crosses below overbought (+30) - Slow Line color flip (direction or zero-cross) - Divergence labels ("Bull" / "Bear") - Band Coloring as Momentum Signal: When Fast Line A ≤ Fast Line B → Overbought band turns red (bearish pressure building) When Fast Line A > Fast Line B → Oversold band turns green (bullish pressure building) This dynamic coloring serves as visual confirmation of momentum shift following fast line crossovers Visualization: - Gradients: Fast B → Zero (multi-layer fade), Fast A ↔ B fill, OB/OS bands - Dynamic colors: Green/red based on sign or trend - Zero line + dashed OB/OS thresholds Alerts: Trigger on OB/OS returns, Slow Line changes, and divergences. █ SETTINGS AND CUSTOMIZATION - Line Visibility: Toggle Slow, Fast A, Fast B, Line 4 independently. Line Lengths: - Slow Line: Base (20), Primary EMA (5), Extra EMA (5) - Fast A: Lookback (6), EMA (7) - Fast B: Lookback (6), EMA (10) - Line 4: Lookback (14), EMA (1) - Slow Line Coloring Mode: “Direction” (trend-based) or “Position vs Zero”. - Bands & Thresholds: Overbought (+30), Oversold (–30), step 0.1. - Signals: Enable Fast A OB/OS return markers (default: on). - Divergence: Enable/disable, Pivot Length (default: 2, min 1). - Colors & Appearance: Full control over bullish/bearish hues for all lines, zero, bands, divergence, and text. Gradients & Transparency: - Fast B → Zero: 75 (default) - Fast A ↔ B fill: 50 - Band gradients: 40 - Toggle each gradient independently █ USAGE EXAMPLES The indicator allows users to configure various strategies manually, though no built-in alerts exist for them. Entry signals can include color of fast lines, crossovers between different lines, alignment of colors across lines, or consistency in direction. - Trend Confirmation: Slow Line above zero + green = bullish bias; below + red = bearish. - Entry Timing: Buy on Fast A crossing above –30 (circle marker), especially if Slow Line is rising or near zero. - Reversal Setup: Bullish divergence (“Bull” label) + Fast A in oversold + green gradient band = high-probability long. - Scalping: Fast A vs Fast B crossover in direction of Slow Line trend. - Noise Reduction: Increase extraSmoothLen on Slow Line █ USER NOTES - Best combined with volume, support/resistance, or trend channels. - Adjust lookback and smoothing to asset volatility. - Divergence delay = pivotLength; plan entries accordingly.
Pine Script® göstergesi
Uncle_the_shooter tarafından
6
Sniper StrategyThe Sniper Strategy is a clean and data-driven RSI-based system designed for precision entries and exits. It combines multi-timeframe RSI analysis, automated labeling, and dynamic P/L tracking — perfect for traders who want clarity, visual feedback, and strict risk control in one tool. 🧩 Core Features Dual RSI Framework: Calculates both the current timeframe RSI and a higher timeframe RSI to confirm trend strength and avoid false signals. Smart Entry Logic: Long signals when RSI drops below oversold level. Short signals when RSI exceeds overbought level. Automatic Exit Management: Configurable Stop Loss and Take Profit percentages. Optional RSI-based exit for flexible trade closures. All exits are visually labeled for transparency. Real-Time Profit Tracking: Displays a floating label above each bar showing current P/L (%), updated live while the position is open — giving you instant insight into trade performance. Clean Visual Design: Uses arrows and colored labels for entry/exit clarity. Optional RSI line and higher timeframe RSI plot included. Alerts Ready: Built-in alert conditions for both Long and Short signals — ideal for automation or notifications. ⚙️ Inputs & Customization Adjustable RSI lengths for both timeframes. Selectable RSI source (Close, HL2, etc.). Configurable stop loss and take profit levels. Customizable leverage and precision for P/L display. Optional wick-based calculation for sensitivity tuning. 💡 How to Use Apply the strategy on your preferred symbol and timeframe. Adjust RSI and risk settings to match your trading style. Optionally enable higher timeframe RSI confirmation. Set alerts for “Long Entry Signal” and “Short Entry Signal.” Backtest and fine-tune before going live. ⚠️ Disclaimer This script is for educational and research purposes only. It is not financial advice. Always backtest thoroughly and manage your risk before using it in live trading.
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Tg965 tarafından
Quantura - Trendchange ZonesIntroduction “Quantura – Trendchange Zones” is an advanced technical indicator that identifies and visualizes potential market reversal zones using dynamic RSI-based logic. It highlights areas of overbought and oversold conditions, marking them as visual zones directly on the price chart, and generates corresponding bullish and bearish signals when the RSI exits these extremes. The tool helps traders anticipate possible trend change regions and confirm momentum shifts in a clean, intuitive way. Originality & Value Unlike traditional RSI indicators that only show a static oscillator, this tool transforms RSI behavior into on-chart visual zones that represent structural overbought and oversold phases. It converts RSI threshold breaches into price-based regions (boxes) and marks reversal signals at the moment of momentum change. The indicator’s originality and usefulness come from its: Direct visualization of RSI overbought and oversold areas as dynamic chart zones. Automatic detection of potential reversal regions where momentum exhaustion is likely. Integration of RSI-based signals and visual cues without requiring users to monitor the RSI window. Adjustable sensitivity for RSI length and upper/lower levels. Clear color-coded separation of bullish and bearish phases. Functionality & Core Logic The indicator continuously monitors RSI values relative to the user-defined thresholds. When RSI moves above the upper level, an Overbought Zone is created and extends until RSI falls back below that threshold. When RSI moves below the lower level, an Oversold Zone is generated and extends until RSI returns above that level. When RSI exits one of these zones, a corresponding Trendchange Signal (▲ bullish or ▼ bearish) appears at the transition point. Each zone dynamically adjusts its high and low levels during formation, representing the complete range of the exhaustion phase. Parameters & Customization RSI Length: Defines the sensitivity of RSI calculation. Shorter lengths make signals more responsive; longer lengths filter noise. Upper Level / Lower Level: Set thresholds for overbought and oversold conditions (default 70 / 30). Signals: Toggle on/off for displaying bullish (▲) and bearish (▼) reversal signals. Zones: Toggle the visualization of shaded RSI-based zones. Colors: Fully customizable bullish and bearish colors for both signals and zones. Visualization & Display Bullish reversal zones (oversold exits) are shaded using the chosen bullish color (default: blue). Bearish reversal zones (overbought exits) are shaded using the chosen bearish color (default: red). Each completed zone is outlined and filled with transparent shading for better clarity. Reversal arrows (▲ for bullish, ▼ for bearish) are displayed at the bar where RSI exits the extreme level. Clean overlay design ensures compatibility with any chart style or color scheme. Use Cases Identify overbought and oversold periods directly on the price chart without switching to the RSI window. Anticipate potential market reversals or exhaustion points based on RSI momentum shifts. Combine with trend indicators, moving averages, or volume tools for confirmation. Apply across multiple timeframes to align short-term reversal signals with higher timeframe momentum. Use zone width and duration to assess the strength and persistence of overbought/oversold conditions. Limitations & Recommendations The indicator is not a standalone trading system but a visual confirmation tool. False signals may occur in strongly trending markets where RSI remains overextended. Optimal RSI settings may differ between assets (e.g., crypto vs. equities). Combining this indicator with additional trend or structure filters can enhance accuracy. Markets & Timeframes The “Quantura – Trendchange Zones” indicator works across all markets and timeframes, including cryptocurrencies, Forex, stocks, and commodities. It is suitable for both short-term scalping and long-term swing analysis. Author & Access Developed 100% by Quantura. Published as a Open-source script indicator. Access is free. Important This description complies with TradingView’s Script Publishing and House Rules. It provides a clear explanation of the indicator’s originality, logic, and function while avoiding unrealistic performance or predictive claims.
Pine Script® göstergesi
Quantura tarafından
3
Quantura - Quantified Price Action StrategyIntroduction “Quantura – Quantified Price Action Strategy” is an invite-only Pine Script strategy designed to combine multiple price action concepts into a single trading framework. It integrates supply and demand zones, liquidity sweeps and runs, fair value gaps (FVGs), RSI filters, and EMA trend confirmation. The strategy also provides a visual overlay with dynamic trend-colored candles for easier chart interpretation. It is intended for multi-market use across cryptocurrencies, Forex, equities, and indices. Originality & Value The strategy is original in how it unifies several institutional-style price action elements and validates trades only when they align. This reduces noise compared to using single indicators in isolation. Its unique value lies in the combination of: Supply & Demand detection: Dynamic boxes identified through pivots, ATR, and volume sensitivity. Liquidity sweeps and runs: Detects when swing highs/lows are broken and retested, distinguishing between liquidity grabs (sweeps) and directional runs. RSI filter: Can be set to normal or aggressive, confirming momentum before trades. Fair Value Gaps (FVGs): Optional detection and filtering of price inefficiencies. EMA filter: Aligns trades with the broader market trend. Trend candle visualization: Candles dynamically colored bullish, bearish, or neutral, based on strategy positions. This layered confluence approach ensures that entries are not taken on a single condition but require agreement across several dimensions of market structure, momentum, and order flow. Functionality & Indicators Supply & Demand Zones: Zones are created when pivots, ATR sensitivity, and volume thresholds overlap. Liquidity: Swing highs and lows are tracked, with options for sweep (fakeout/reversal) or run (continuation) detection. RSI: Confirms long signals when oversold and shorts when overbought, with configurable aggressiveness. FVG filter: Adds validation by requiring price interaction with inefficiency zones. EMA filter: Ensures longs are above EMA and shorts below EMA. Signals & Visualization: Trade entries are marked on the chart, while candles change color to reflect trade direction and status. Parameters & Customization Supply & Demand: Sensitivity (swing range, volume multiplier, ATR multiplier) and display options. Liquidity filter: Mode (Run or Sweep), display, and swing length. RSI: Enable/disable, length, and style (normal or aggressive). Fair Value Gaps: Sensitivity via ATR factor, optional volume filter, and display toggles. EMA: Length, enable/disable, and visualization. Risk management: Up to three configurable take-profit levels, stop-loss, break-even logic, and capital-based position sizing. Visualization: Custom candle coloring and optional overlay for better clarity. Default Properties (Strategy Settings) Initial Capital: 10,000 USD Position Size: 100% of equity per trade (backtest default) Commission: 0.1% Slippage: 1 Pyramiding: 0 (only one position at a time) Note: The default of 100% equity per trade is used for testing purposes only and would not be sustainable in real trading. A typical allocation in practice would be between 1–5% of account equity per trade, sometimes up to 10%. Backtesting & Performance Backtests on XPTUSD over 2.5 years with the default settings produced: 164 trades 67.68% win rate Profit factor: 1.7 Maximum drawdown: 27.81% These results show how the confluence of supply/demand, liquidity, and RSI filters can produce robust setups. However, past performance does not guarantee future results. While the trade count (164) is sufficient for statistical analysis, results may vary across markets and timeframes. Risk Management Three configurable take-profit levels with percentage allocation. Initial stop-loss based on user-defined percentage. Dynamic stop-loss that adjusts with market movement. Break-even logic that shifts stops to entry after predefined gains. Position sizing based on risk percentage of equity. This framework allows both conservative and aggressive configurations, depending on user preference. Limitations & Market Conditions Works best in volatile and liquid markets such as crypto, metals, indices, and FX. May produce false signals in low-volume or sideways environments. Unexpected news or macro events can override technical conditions. Default position sizing of 100% equity is highly aggressive and should be reduced before any practical use. Usage Guide Add “Quantura – Quantified Price Action Strategy” to your chart. Select Supply & Demand, Liquidity, RSI, EMA, and FVG settings according to your market and timeframe. Configure risk management: take-profits, stop-loss, and risk-per-trade percentage. Use the Strategy Tester to analyze statistics, equity curve, and performance under different conditions. Optimize parameters before applying the strategy to different markets. Author & Access Developed 100% by Quantura. Published as an Invite-Only script. Important This description complies with TradingView’s publishing rules. It clarifies originality, explains the underlying logic, discloses default properties, and presents backtest results with realistic disclaimers.
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Quantura tarafından
OutsiderEdge - Adaptive Node Efficiency Function (ANEF)Overview - What is ANEF? ANEF is a zero-centered oscillator that blends price efficiency, effective volume around VWAP (node proximity), order-flow imbalance (uptick/downtick proxy), and returns volatility into a single, normalized score. The goal is to help you spot efficient breakouts and inefficient mean-reversions in a way that’s transparent, systematic, and easy to align with your own analysis. Users can combine ANEF’s components to build rules such as: “ Only consider short breakout signals when trend context is bearish and the ANEF score pushes into the Efficient Zone ,” or “ Look for mean-reversion setups when the ANEF score sinks into the Inefficient Zone while trend context remains bullish. ” While ANEF can stand on its own, it also works well as a secondary confirmation layer to a user’s primary process (volume profile, price action, S/R, market structure, or your preferred overlays). 🔹 FEATURES Below is each ANEF component/feature in the order that typically leads to the most confluence. ANEF Core (Normalized Score) Combines a price change term with effective volume near VWAP and order-flow imbalance, scaled by volatility and normalized into a zero-centered oscillator. Read it like a pressure gauge: high positive values = efficient upside impulse risk; deep negative values = inefficient pressure that often reverts. Efficient & Inefficient Zones (Thresholds) Two user-set levels (default ≥ +4.6 and ≤ −4.6) to quickly see when ANEF pushes into efficient breakout territory (top zone) or inefficient territory (bottom zone). Thresholds are not overbought/oversold; they’re contextual “efficiency bands.” 2nd-Signal Confirmation (Optional) An opt-in rule to ignore the first signal of a type and only print the second occurrence within X bars (default 6). Reduces one-off noise without repainting or lookahead. Trend Context (EMA-based Wave, Optional) A lightweight EMA context that lets you filter signals (e.g., only show ▼ in downtrend, only show ▲ in uptrend). The context is plotted as a sub-pane wave centered around zero so it doesn’t fight for price-panel space. Clean Alerts (Raw & Confirmed) Raw alerts fire at zone interactions. Confirmed alerts respect the 2nd-signal rule and (optionally) the trend filter. Price-Panel Markers (through force_overlay) Even with the oscillator in a separate pane, ANEF can print mini markers on the main chart. Useful to correlate impulses/reversions with structure, S/R, or higher-TF levels. 🔹 USAGE In the examples below, you see chart snapshot with five labeled points of (in)efficiency breakouts. ICMARKETS:UK100 Point 1 — Efficient Downside Breakout (▼) ANEF surges into the Efficient Zone, indicating downside momentum that’s aligned with node volume/imbalance and volatility. Typical use: trend-following continuation, takeprofit on existing long or tightening risk on existing shorts (invalidations above recent structure). Point 2 — Inefficient Upside Reversion (▲) First rebound after the selloff with ANEF deep in the Inefficient Zone. Not an ideal long entry on its own, but a good management cue: take partial profits on shorts or tighten stops as an early confirmation that the drop may be exhausting. Point 3, 4 and 5 — Inefficient Upside Reversion (▲) Another 3x ▲ appears as price forms a higher low and ANEF prints a less extreme negative reading. With the “second-signal within X bars” option enabled, this becomes a more credible mean-reversion attempt. Possible long entries or takeprofits on existing shorts. Trading involves substantial risk. This tool is for educational purposes only and is not financial advice. Past performance does not guarantee future results. You are solely responsible for your trading decisions and risk management. 🔹 NAVIGATING MARKET CONDITIONS Trending phases: Expect more time in or near the zones in the trend direction. Consider allowing only trend-aligned signals (filter ON) and using counter zone exits for trail/partials rather than counter-trend trades. Ranging phases: Expect frequent dips and surges into the (In)efficient Zones and back. Counter-moves (▲ in range downs, ▼ in range ups) can be productive with tight invalidation and the 2nd-signal rule to reduce noise. Regime shifts: Watch for repeated failures of one side’s signals plus cross-pane confluence (e.g., context flips while ANEF re-anchors around zero). That sequence often marks transitions where your rules should adapt (e.g., disable the trend filter temporarily or widen your 2nd-signal window). 🔹 SETTINGS SUMMARY ANEF Core: lengthPrice, lengthVol, lengthVolat, imbalanceCap Zones: Efficient (≥), Inefficient (≤) Confirmation: Require 2nd signal, Lookahead bars Trend Filter: Enable, EMA length, optional smoothing & “only show ▲/▼ with trend” Chart Markers: Also show on main chart (force_overlay) Alerts: Raw vs Confirmed (pick what suits your workflow) 🔹 GOOD PRACTICES Treat signals as context cues, not as mechanical buy/sell calls. You can align ANEF with structure (S/R, HTF bias, LVN, HVN or POC) and risk management (partials on zone exit, invalidation beyond recent swing). Start with defaults; tweak parameters to match your market/TF. 🔹 LIMITATIONS / DISCLAIMER ANEF does not use lookahead and does not repaint, but no indicator guarantees outcomes. Thresholds are heuristics; markets can remain efficient/inefficient longer than expected. Use appropriate position sizing and independent validation. Trading involves substantial risk. This tool is for educational purposes only and is not financial advice. Past performance does not guarantee future results. You are solely responsible for your trading decisions and risk management. Release Notes v1.0 — Initial invite-only release with: normalized ANEF core, Efficient/Inefficient zones, optional EMA trend context, 2nd-signal confirmation, raw & confirmed alerts, and optional price-panel markers via force_overlay.
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