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Change in State of Delivery CISD [AlgoAlpha]🟠 OVERVIEW This script tracks how price “changes delivery” after failed attempts to push in one direction. It builds swing levels from pivots, watches for those levels to be wicked, and then checks if price delivers cleanly in the opposite direction. When the pattern meets the script’s tolerance rules, it marks a Change in State of Delivery (CISD). These CISD levels are drawn as origin lines and are used to spot shifts in intent, failed pushes, and continuation attempts. A CISD becomes stronger when it forms after opposing liquidity is swept within a defined lookback. 🟠 CONCEPTS The script first defines structure using swing highs/lows. These levels act as potential liquidity points. When price wicks through a swing, the script registers a mitigation event. After this, it looks for a reversal-style candle sequence: a failed push, followed by a counter-move strong enough to pass a tolerance ratio. This ratio compares how far price expanded away from the failed attempt versus the counter-move that followed. If the ratio is high enough, this becomes a CISD. The idea is simple: liquidity interaction sets context , and the tolerance logic identifies actual intent . CISD levels and sweep markers combine these two ideas into a clean map of where delivery flipped. 🟠 FEATURES Liquidity tracking: marks swing highs/lows and updates them until expiry Liquidity sweep confirmation when CISD aligns with recent mitigations Alert conditions for all key events: mitigations, CISDs, and strong CISDs 🟠 USAGE Setup : Add the script to your chart. Use it on any timeframe where swing behavior matters. Set the Swing Period for how wide a pivot must be. Set Noise Filter to control how strict the CISD detection is. Liquidity Lookback defines how recent a wick must be to confirm a sweep. Read the chart : Origin lines mark where the CISD began. A green line signals bullish intent; a red line signals bearish intent. ▲ and ▼ shapes show CISDs that form after liquidity is swept, these mark strong signals for potential entry. Swing dots show recent swing highs/lows. Candle colors follow the latest CISD trend. Settings that matter : Increasing Swing Period produces fewer but stronger swings. Raising Noise Filter requires cleaner counter-moves and reduces false CISDs. Liquidity Lookback controls how strict the sweep confirmation is. Expiry Bars decides how long swing levels remain active.
Индикатор Pine Script®
от AlgoAlpha
7
Uptrick: Dynamic Z-Score DivergenceIntroduction Uptrick: Dynamic Z-Score Divergence is an oscillator that combines multiple momentum sources within a Z-Score framework, allowing for the detection of statistically significant mean-reversion setups, directional shifts, and divergence signals. It integrates a multi-source normalized oscillator, a slope-based signal engine, structured divergence logic, a slope-adaptive EMA with dynamic bands, and a modular bar coloring system. This script is designed to help traders identify statistically stretched conditions, evolving trend dynamics, and classical divergence behavior using a unified statistical approach. Overview At its core, this script calculates the Z-Score of three momentum sources—RSI, Stochastic RSI, and MACD—using a user-defined lookback period. These are averaged and smoothed to form the main oscillator line. This normalized oscillator reflects how far short-term momentum deviates from its mean, highlighting statistically extreme areas. Signals are triggered when the oscillator reverses slope within defined inner zones, indicating a shift in direction while the signal remains in a statistically stretched state. These mean-reversion flips (referred to as TP signals) help identify turning points when price momentum begins to revert from extended zones. In addition, the script includes a divergence detection engine that compares oscillator pivot points with price pivot points. It confirms regular bullish and bearish divergence by validating spacing between pivots and visualizes both the oscillator-side and chart-side divergences clearly. A dynamic trend overlay system is included using a Slope Adaptive EMA (SA-EMA). This trend line becomes more responsive when Z-Score deviation increases, allowing the trend line to adapt to market conditions. It is paired with ATR-based bands that are slope-sensitive and selectively visible—offering context for dynamic support and resistance. The script includes configurable bar coloring logic, allowing users to color candles based on oscillator slope, last confirmed divergence, or the most recent signal of any type. A full alert system is also built-in for key signals. Originality The script is based on the well-known concept of Z-Score valuation, which is a standard statistical method for identifying how far a signal deviates from its mean. This foundation—normalizing momentum values such as RSI or MACD to measure relative strength or weakness—is not unique to this script and is widely used in quantitative analysis. What makes this implementation original is how it expands the Z-Score foundation into a fully featured, signal-producing system. First, it introduces a multi-source composite oscillator by combining three momentum inputs—RSI, Stochastic RSI, and MACD—into a unified Z-Score stream. Second, it builds on that stream with a directional slope logic that identifies turning points inside statistical zones. The most distinctive additions are the layered features placed on top of this normalized oscillator: A structured divergence detection engine that compares oscillator pivots with price pivots to validate regular bullish and bearish divergence using precise spacing and timing filters. A fully integrated slope-adaptive EMA overlay, where the smoothing dynamically adjusts based on real-time Z-Score movement of RSI, allowing the trend line to become more reactive during high-momentum environments and slower during consolidation. ATR-based dynamic bands that adapt to slope direction and offer real-time visual zones for support and resistance within trend structures. These features are not typically found in standard Z-Score indicators and collectively provide a unique approach that bridges statistical normalization, structure detection, and adaptive trend modeling within one script. Features Z-Score-based oscillator combining RSI, StochRSI, and MACD Configurable smoothing for stable composite signal output Buy/Sell TP signals based on slope flips in defined zones Background highlighting for extreme outer bands Inner and outer zones with fill logic for statistical context Pivot-based divergence detection (regular bullish/bearish) Divergence markers on oscillator and price chart Slope-Adaptive EMA (SA-EMA) with real-time adaptivity based on RSI Z-Score ATR-based upper and lower bands around the SA-EMA, visibility tied to slope direction Configurable bar coloring (oscillator slope, divergence, or most recent signal) Alerts for TP signals and confirmed divergences Optional fixed Y-axis scaling for consistent oscillator view The full setup mode can be seen below: Input Parameters General Settings Full Setup: Enables rendering of the full visual system (lines, bands, signals) Z-Score Lookback: Lookback period for normalization (mean and standard deviation) Main Line Smoothing: EMA length applied to the averaged Z-Score Slope Detection Index: Used to calculate directional flips for signal logic Enable Background Highlighting: Enables visual region coloring in overbought/oversold areas Force Visible Y-Axis Scale: Forces max/min bounds for a consistent oscillator range Divergence Settings Enable Divergence Detection: Toggles divergence logic Pivot Lookback Left / Right: Defines the structure of oscillator pivot points Minimum / Maximum Bars Between Pivots: Controls the allowed spacing range for divergence validation Bar Coloring Settings Bar Coloring Mode: ➜ Line Color: Colors bars based on oscillator slope ➜ Latest Confirmed Signal: Colors bars based on the most recent confirmed divergence ➜ Any Latest Signal: Colors based on the most recent signal (TP or divergence) SA-EMA Settings RSI Length: RSI period used to determine adaptivity Z-Score Length: Lookback for normalizing RSI in adaptive logic Base EMA Length: Base length for smoothing before adaptivity Adaptivity Intensity: Scales the smoothing responsiveness based on RSI deviation Slope Index: Determines slope direction for coloring and band logic Band ATR Length / Band Multiplier: Controls the width and responsiveness of the trend-following bands Alerts The script includes the following alert conditions: Buy Signal (TP reversal detected in oversold zone) Sell Signal (TP reversal detected in overbought zone) Confirmed Bullish Divergence (oscillator HL, price LL) Confirmed Bearish Divergence (oscillator LH, price HH) These alerts allow integration into automation systems or signal monitoring setups. Summary Uptrick: Dynamic Z-Score Divergence is a statistically grounded trading indicator that merges normalized multi-momentum analysis with real-time slope logic, divergence detection, and adaptive trend overlays. It helps traders identify mean-reversion conditions, divergence structures, and evolving trend zones using a modular system of statistical and structural tools. Its alert system, layered visuals, and flexible input design make it suitable for discretionary traders seeking to combine quantitative momentum logic with structural pattern recognition. Disclaimer This script is for educational and informational purposes only. No indicator can guarantee future performance, and trading involves risk. Always use risk management and test strategies in a simulated environment before deploying with live capital.
Индикатор Pine Script®
от Uptrick
7
Pre-Market ORB Break and Retest - Institutional═══════════════════════════════════ PRE-MARKET ORB BREAK AND RETEST - INSTITUTIONAL ═══════════════════════════════════ Free professional Pre-Market Opening Range Breakout indicator from QuantCrawler - your AI-powered futures trading analysis platform. Built as a free resource for the trading community. Support us at quantcrawler.com and on YouTube @AutomateWithAaron. ═══════════════════════════════════ 📊 HOW IT WORKS 1. Captures the 8:00-8:15 AM ET pre-market range where institutional investors position 2. Draws OR High, OR Low, and Midpoint levels on your chart 3. Waits for market open at 9:30 AM EST before detecting breakouts 4. Fires LONG/SHORT entry signals when price retests the OR midpoint after breakout ═══════════════════════════════════ ✓ FEATURES - Runs on 1m or 5m charts - captures 15m pre-market range automatically - Zone marked at 8:15 AM, trades trigger after 9:30 AM market open - Universal - works on futures, forex, stocks, and crypto - Customizable sessions - NY, London, Asia, or any custom timeframe - Adjustable breakout distance to match your instrument - Clean visual signals - only shows actionable entries - Session end time stops monitoring after market close ═══════════════════════════════════ ⚙️ SETTINGS - Breakout Distance (Points): Distance outside OR zone to confirm breakout - Timezone: Select your trading session - Opening Range Time: Pre-market positioning window (default 8:00-8:15) - Session End Time: When to stop monitoring (default 16:00) ═══════════════════════════════════ 🎯 IDEAL FOR Day traders who defend institutional positioning levels. The 8:00-8:15 AM range captures where smart money positions before retail market open, giving you an edge on key support/resistance zones. ═══════════════════════════════════ 🚀 WANT MORE? This indicator pairs perfectly with QuantCrawler's AI-powered chart analysis: - Multi-timeframe futures analysis (15m/5m/1m scalping, 4H/1H/30m intraday, 1D/4H/1H swing) - Precision entry points, stop losses, and profit targets - Confidence scoring for every setup - Covers futures, forex, and crypto markets Visit quantcrawler.com to see how AI can level up your trading. ═══════════════════════════════════ ⚠️ DISCLAIMER This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose. ═══════════════════════════════════ Built with ❤️ by Aaron at QuantCrawler quantcrawler.com | AI-Powered Futures Trading Analysis
Индикатор Pine Script®
от QuantCrawler
15m ORB BREAK AND RETEST - MIDPOINT═══════════════════════════════════ 15m ORB BREAK AND RETEST - MIDPOINT ═══════════════════════════════════ Free professional 15-minute Opening Range Breakout indicator from QuantCrawler - your AI-powered futures trading analysis platform. Built as a free resource for the trading community. Support us at quantcrawler.com and on YouTube @AutomateWithAaron. ═══════════════════════════════════ 📊 HOW IT WORKS 1. Captures the 15-minute Opening Range (default: 9:30-9:45 AM ET) 2. Draws OR High, OR Low, and Midpoint levels on your chart 3. Detects breakouts when price closes beyond the OR zone + your specified distance 4. Fires LONG/SHORT entry signals when price retests the OR midpoint after breakout ═══════════════════════════════════ ✓ FEATURES - Runs on 1m or 5m charts - captures 15m opening range automatically - Universal - works on futures, forex, stocks, and crypto - Customizable sessions - NY, London, Asia, or any custom timeframe - Adjustable breakout distance to match your instrument - Clean visual signals - only shows actionable entries - Session end time stops monitoring after market close ═══════════════════════════════════ ⚙️ SETTINGS - Breakout Distance (Points): Distance outside OR zone to confirm breakout - Timezone: Select your trading session - Opening Range Time: First 15 minutes to capture (default 9:30-9:45) - Session End Time: When to stop monitoring (default 16:00) ═══════════════════════════════════ 🎯 IDEAL FOR Day traders and swing traders who prefer wider opening ranges for reduced noise. The 15-minute OR provides more stable support/resistance levels compared to 5m setups. ═══════════════════════════════════ 🚀 WANT MORE? This indicator pairs perfectly with QuantCrawler's AI-powered chart analysis: - Multi-timeframe futures analysis (15m/5m/1m scalping, 4H/1H/30m intraday, 1D/4H/1H swing) - Precision entry points, stop losses, and profit targets - Confidence scoring for every setup - Covers futures, forex, and crypto markets Visit quantcrawler.com to see how AI can level up your trading. ═══════════════════════════════════ ⚠️ DISCLAIMER This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose. ═══════════════════════════════════ Built with ❤️ by Aaron and QuantCrawler quantcrawler.com | AI-Powered Futures Trading Analysis
Индикатор Pine Script®
от QuantCrawler
Momentum Tide [Alpha Extract]A sophisticated momentum-based trend identification system that measures normalized price deviation from an EMA baseline using ATR scaling and hyperbolic tangent smoothing for precise trend state classification. Utilizing advanced signal processing with configurable neutral bands and slope sensitivity adjustments, this indicator delivers institutional-grade momentum analysis with continuous strength measurement and visual trend confirmation. The system's three-state classification (bullish, bearish, neutral) combined with dynamic color intensity scaling provides comprehensive market momentum assessment across varying volatility conditions. 🔶 Advanced Baseline Deviation Framework Implements EMA-based baseline calculation with ATR-normalized deviation measurement to create volatility-adjusted momentum signals. The system calculates raw price deviation from the baseline, scales by ATR and slope sensitivity factor, then applies exponential smoothing for stable signal generation with reduced noise and false transitions. // Core Momentum Calculation Baseline = ta.ema(close, Baseline_Length) ATR_Value = ta.atr(ATR_Length) Raw_Deviation = (close - Baseline) / (ATR_Value * Slope_Scaler) Signal = ta.ema(Raw_Deviation, Signal_Smoothing) 🔶 Hyperbolic Tangent Normalization Engine Features sophisticated tanh transformation that clamps raw deviation signals into normalized -1 to +1 range for consistent interpretation across all market conditions. The system applies safe exponential calculations with value capping to prevent overflow while maintaining signal sensitivity, creating bounded momentum readings suitable for systematic threshold analysis. // Tanh Normalization Clamped_Signal = tanh(Signal) // Bounded to Strength = abs(Clamped_Signal) // Momentum intensity 🔶 Three-State Classification System Implements intelligent trend state determination using configurable neutral band thresholds to reduce whipsaw signals during ranging conditions. The system classifies market as bullish (+1) when momentum exceeds upper neutral band, bearish (-1) below lower neutral band, and neutral (0) within the band, providing clear directional bias with built-in consolidation recognition. 🔶 Dynamic Color Intensity Architecture Provides advanced visual feedback through momentum strength-based color intensity modulation, where stronger trends display more opaque colors and weaker trends show increased transparency. The system dynamically adjusts color alpha values based on absolute momentum strength, creating intuitive visual representation of trend conviction across baseline, candles, and bars. 🔶 Trend Strength Meter Visualization Features innovative horizontal gradient meter displaying real-time momentum position across bear-to-bull spectrum with 24-segment resolution. The system creates smooth color transitions from bearish red through neutral gray to bullish green, with arrow indicator showing precise momentum location for instant trend strength assessment without cluttering the price chart. 🔶 Intelligent Flip Detection System Generates transition markers when trend state changes from neutral/bearish to bullish or neutral/bullish to bearish, with duplicate signal suppression to prevent marker clustering. The system tracks previous signal states and only plots new markers on genuine trend reversals, providing clean entry signal visualization for systematic trading approaches. snapshot 🔶 Configurable Neutral Band Framework Implements adjustable neutral zone width using ATR percentage parameters to optimize signal frequency for different trading styles and market conditions. Wider bands reduce flip frequency for position trading while tighter bands increase sensitivity for active trading strategies, enabling customization without code modification. 🔶 Slope Sensitivity Adjustment Features slope scaler parameter that modulates ATR normalization factor, controlling signal smoothness versus responsiveness trade-off. Higher values create smoother momentum readings with fewer transitions while lower values increase snappiness for faster reaction to price changes, allowing optimization across different volatility regimes and timeframes. 🔶 Comprehensive Visual Integration Provides multi-dimensional trend visualization through color-coded baseline overlay, momentum-synchronized candle coloring, and bar color modification with configurable display toggles. The system includes optional flip markers and strength meter with position control for complete chart integration without visual overload. 🔶 Performance Optimization Framework Utilizes efficient calculation methods with optimized table management for strength meter updates and minimal computational overhead for real-time momentum processing. The system includes intelligent state tracking and safe mathematical operations to prevent errors during extreme market conditions while maintaining consistent performance. 🔶 Why Choose Momentum Tide ? This indicator delivers sophisticated momentum-based trend analysis through normalized deviation measurement and intelligent three-state classification. Unlike traditional momentum oscillators that operate in separate windows, Momentum Tide integrates directly with price action through baseline overlay and candle coloring while providing the analytical depth of bounded momentum measurement. The system's combination of tanh normalization, configurable neutral bands, dynamic color intensity, and innovative strength meter makes it essential for traders seeking adaptive trend-following approaches with clear visual feedback across cryptocurrency, forex, and equity markets. The three-state system naturally filters ranging periods while the momentum strength measurement enables position sizing and confidence assessment for systematic trading strategies.
Индикатор Pine Script®
от AlphaExtract
1
Supply and Demand Zones [Clean v6]Supply and Demand Zones Overview The Supply and Demand Zones indicator is an automated market structure tool designed to identify high-probability Points of Interest (POI) on any asset or timeframe. Built using Pine Script v6, this script focuses on clarity and performance, providing traders with a clutter-free view of where institutional buying and selling pressure has previously occurred. Unlike crowded indicators that overwhelm the chart, this script dynamically manages zones—drawing new ones as structure forms and automatically removing invalid zones as price breaks through them. Key Features Automated Zone Detection: Automatically identifies Supply (Resistance) and Demand (Support) zones based on Swing Highs and Swing Lows. Dynamic Zone Management: Active zones extend to the right until price interacts with them. Break of Structure (BOS) Logic: When price violates a zone (closes beyond the invalidation level), the zone is automatically removed and marked as "Broken" to keep the chart clean. Zig Zag Structure: Includes an optional Zig Zag overlay to visualize market flow, Higher Highs, and Lower Lows. ATR-Based Sizing: Zone width is calculated using the Average True Range (ATR), ensuring zones adapt to the asset's current volatility. Pine Script v6: Optimized using the latest array and method functions for speed and stability. How It Works Zone Creation: The script looks for Pivot Highs and Lows based on your defined Swing Length. Supply Zones (Red): Created at Swing Highs. Demand Zones (Blue): Created at Swing Lows. Zone Width: The height of the box is determined by the ATR multiplied by your Zone Width setting. This ensures the zone covers the "wick" area or the volatility range of the pivot. Invalidation: If the price closes past the outer edge of a zone (the top of a Supply zone or bottom of a Demand zone), the script detects a break, removes the filled box, and leaves a subtle trace of the broken structure. How to Use Trend Following: Use the Zig Zag lines to identify the trend direction. Look for Long entries in Demand zones during an uptrend, and Short entries in Supply zones during a downtrend. Reversals: Watch for price to react at older, unfilled zones (POIs) that align with major support/resistance levels. Stop Loss Placement: The outer edge of the zone acts as a natural invalidation point. If price closes beyond it, the setup is typically invalidated. Settings Guide Swing Length: Determines the sensitivity of the pivot detection. Lower numbers find more local zones (scalping); higher numbers find major structural zones (swing trading). Max Zones to Keep: Limits the number of historic zones displayed to prevent chart clutter. Zone Width (ATR): Adjusts how thick the zones are. Increase this value if you want to capture wider wicks. Visual Settings: Fully customizable colors for Supply, Demand, Borders, and Zig Zag lines. Disclaimer This tool is for informational and educational purposes only. It visualizes past price action and does not guarantee future performance. Always manage your risk appropriately.
Индикатор Pine Script®
от CaseInTheMoney
1
GOLD 5MIN — 9×21 EMA Strategy (Aggressive)GOLD 5-MIN 9×21 EMA (Aggressive Version) EMA Trend + VWAP Direction + Statistical RSI/MACD Filter 📌 Overview This strategy is a short-term trend-following system built for GOLD MGC1! on the 5-minute chart. It uses a combination of: 9/21 EMA momentum cross 50 & 200 EMA trend filters VWAP directional alignment Data-driven RSI + MACD histogram filter (for shorts) Strict time-of-day filters Statistically optimized SL & TP levels based on average run-up and drawdown This version represents the highest-performing configuration after analyzing hundreds of trades across a multi-month dataset. It is designed specifically for manual traders (including prop traders) who must trade themselves and cannot use bots. 📌 Why This Strategy Works Backtesting revealed several repeatable tendencies in the GOLD 5-minute market: EMA Trend + VWAP Alignment Increases Win Probability Trades taken with both EMA structure And VWAP direction had much better follow-through. Longs → work best when above VWAP and VWAP risingShorts → work best when below VWAP and VWAP falling This filter alone removed many losing signals. Shorts Were Bad When RSI > 55 AND MACD Histogram Rising This scenario repeatedly produced: reduced R-multiple output shallow follow-through high likelihood of being squeezed Filtering out these shorts increased profitability significantly. 3. Certain Hours of the Day Lose Money The two statistically weakest windows were: ❌ 08:00 EST ❌ 10:00 EST Removing these increased expectancy without sacrificing win rate. 4. A Fixed 2R Target on Longs + Fixed $161 TP on Shorts Using the statistical distribution of run-up: Longs favored ~2R Shorts favored a fixed TP of $161 per contract (equivalent avg move) This combination produced the most stable equity curve. 📌 Backtest Summary (Aggressive Version) (Numbers reflect your exact dataset: Sept 25 – Nov 22) +8.4% account growth trading a single micro contract Profit Factor ~ 2.2 ~58% win rate Shallow max drawdown (~1.3%) Very consistent equity curve Highest P&L of all strategy variants tested This version provided the best risk-adjusted performance and the smoothest equity curve, outperforming conservative and hybrid exit versions. 📌 When This Strategy Works Best Based on verified trade statistics, the strategy performs strongest during: Best Sessions ⭐ London Session (3–5 AM EST) ⭐ NY Pre-Market (7–8:30 AM EST) ⭐ NY Session Trend Legs (9:30–12:00 PM EST) Avoid ❌ 8:00 AM EST spike ❌ 10:00 AM EST chop ❌ 16:30–18:00 PM EST session reset ❌ Wild FOMC / CPI / NFP moments unless you turn the strategy off 📌 How Entries Work You get an entry signal only if: 9 EMA crosses 21 EMA 50 & 200 EMA confirm trend direction VWAP confirms direction Not during weak hours Not during the 16:30–18:00 reset Shorts pass RSI+MACD filter Confidence weighting determines position size: Conf 3 (high confidence) → 2 contracts Low confidence → 1 contract 📌 Stop Loss & Take Profit Logic LONGS Stop = swing low − 3 ticks Target = 2R SHORTS Stop = swing high + 3 ticks Target = fixed $161 per contract This TP was statistically verified from average short-run behavior. 📌 Setting Up Alerts (Manual Trader Instructions) STEP 1 — Use “Order fills & alert() function calls” In the Create Alert panel: Condition: GOLD 5MIN — 9×21 EMA Strategy (Aggressive…) Type: ✔ Order fills & alert() function calls Interval: Same as chart (5 min) Expiration: choose a long window (e.g., 6–12 months) This ensures you receive: ✓ Entry alerts (Long / Short) ✗ No exit alerts unless explicitly coded 📌 What to Put in the Message Box Use this simple, readable format: text{{strategy.order.action}} {{strategy.order.contracts}} contract(s) @ {{strategy.order.price}} Position size: {{strategy.position_size}} You can also include SL / TP if needed: textEntry: {{strategy.order.price}} SL: {{plot("stop_level")}} TP: {{plot("tp_level")}} (I can wire these into Pine if you'd like.) 📌 How to Use Alerts in a Prop Firm (No Bots Allowed) When an alert fires: Open your DOM / order panel Match the direction (Buy or Sell) Enter:    * Entry price (market or limit)    * Stop loss at the strategy’s stop level    * Take profit at the displayed TP level Size    * 1 contract = Low confidence    * 2 contracts = Conf 3 Let the trade run—do not manually override unless platform constraints require it. This creates a mechanical, rules-based approach without automation, fully compliant with prop firm rules. 📌 Intended Audience This strategy is ideal for: ✔ Prop traders (TP Trader, Apex, Topstep) Manual execution only—no bots required. ✔ Intraday gold traders Those who want a rules-based, statistically proven, trend-following micro futures system. ✔ New systematic traders Clear logic, easy visuals, simple alerts. 📌 Final Notes This script is the product of: data-driven optimization hundreds of trades removal of low-probability behavior strict adherence to verifiable edges It is not curve-fit—all rules are independently validated via: distribution analysis time-of-day heatmaps indicator correlation run-up/drawdown buckets This makes it robust enough for prop evaluation trading and real capital deployment. — ASALEH2297
Стратегия Pine Script®
от asaleh2297
1
Every Hour 1st FVG vTDLEvery Hour 1st FVG vTDL For more information on how to trade FVG's, refer to Michael J. Huddleston aka The Inner Circle Trader as he is the guy who invented the concept after all. x.com www.youtube.com I'm just vibing plz dont take down my indicator pinescript people plz and thank you What It Shows: This indicator displays the first Fair Value Gap (FVG) that appears during each hourly session, based on lower timeframe price action. Core Concept: Fair Value Gap (FVG) Detection: Uses a 3-candle pattern to detect price gaps Key Features: 1. Hourly Time-Based Filtering: Divides the trading day into hourly blocks Shows ONLY the first FVG(s) that appear in each hour Resets tracking at the start of each new hour Uses America/New_York timezone 2. Two Display Modes: "First Only": Shows whichever FVG appears first per hour (bullish OR bearish) Once one box appears, no more boxes for that hour "Show Both": Shows first bullish AND first bearish FVG per hour Displays the first bull FVG + the first bear FVG independently 3. Multi-Timeframe Support: Lower Timeframe Selection: Choose 15-second, 1-minute, or 5-minute FVG detection Works on ANY chart timeframe: On 1-min chart: Uses direct candle data On higher timeframes (5-min, 15-min, hourly, etc.): Fetches lower timeframe data to detect gaps NOTE: YOU CAN NOT GO LOWER THAN THE TIME FRAME SELECTED FOR FVG IT WILL NOT WORK BECAUSE WE ARE REQUESTING DATA FROM A LOWER TIME FRAME, IF YOU ARE LOWER THAN THAT TIME FRAME YOU WILL GET: Error on bar 0: The chart's timeframe must be greater or equal to the timeframe used with `request.security_lower_tf()`. 4. Visual Display: Colored boxes mark the FVG zones: Blue (default) = Bullish FVG Red (default) = Bearish FVG Box positioning: Left edge: When the FVG formed Right edge: End of that hour (HH:59:59) Height: The actual gap size 5. Size Filtering: Minimum gap size setting (default: 4 ticks) Filters out tiny, insignificant gaps Trading Logic Behind It: The indicator helps identify the first imbalance of each hour by: Highlighting where price moved too fast, leaving imbalances Traders watch these zones for setups and entry models
Индикатор Pine Script®
от Trades-Dont-Lie
🔥 SMC Reversal Engine v3.5 – Clean FVG + DashboardSMC Reversal Engine v3.5 – Clean FVG + Dashboard The SMC Reversal Engine is a precision-built Smart Money Concepts tool designed to help traders understand market structure the single most important foundation in reading price action. It reveals how institutions move liquidity, where structure shifts occur, and how Fair Value Gaps (FVGs) align with these changes to signal potential reversals or continuations. Understanding How It Works At its core, the script detects CHoCH (Change of Character) and BOS (Break of Structure)—the two key turning points in institutional order flow. A CHoCH shows that the market has reversed intent (for example, from bearish to bullish), while a BOS confirms a continuation of the current trend. Together, they form the backbone of structure-based trading. To refine this logic, the engine uses fractal pivots clusters of candles that confirm swing highs and lows. Fractals filter out noise, identifying points where price truly changes direction. The script lets you set this sensitivity manually or automatically adapts it depending on the timeframe. Lower fractal sensitivity captures smaller intraday swings for scalpers, while higher sensitivity locks onto major swing structures for swing and position traders. The dashboard gives you a real-time reading of the trend, the last high and low, and what the market is likely to do next—for example, “Expect HL” or “Wait for LH.” It even tracks the accuracy of these structure predictions over time, giving an educational feedback loop to help you learn price behavior. Fair Value Gaps and Tap Entries Fair Value Gaps (FVGs) mark moments when price moves too quickly, leaving inefficiencies that institutions often revisit. When price taps into an FVG, it often acts as a high-probability entry zone for reversals or continuations. The script automatically detects, extends, and deletes old FVGs, keeping only relevant zones visible for a clean chart. Traders can enable markTapEntry to visually confirm when an FVG gets filled. This is a simple but powerful trigger that often aligns with CHoCH or BOS moments. Recommended Settings for Different Traders For Scalpers, use a lower HTF structure such as 1 minute or 5 minutes. Keep Auto Fractals on for faster reaction, and limit FVG zones to 2–3. This gives you a clean, real-time reflection of order flow. For Intraday Traders, 15-minute to 1-hour structure gives the perfect balance between reactivity and stability. Fractal sensitivity around 3–5 captures the most actionable levels without excessive noise. For Swing Traders, use 4-hour, 1-day, or even 3-day structure. The chart becomes smoother, showing higher-order CHoCH and BOS that define true institutional transitions. Combine this with EMA confirmation for higher conviction. For Position or Macro Traders, select Weekly or Monthly structure. The dynamic label system expands automatically to keep more historical BOS/CHoCH points visible, allowing you to see long-term shifts clearly. Educational Value This indicator is built to teach traders how to see structure the way professionals and smart money do. You’ll learn to recognize how markets transition from one phase to another from accumulation to manipulation to expansion. Each CHoCH or BOS helps you decode where liquidity is being taken and where new intent begins. The included SMC Quick Guide explains each structural cue right on your chart. Within days of using it, you’ll start noticing patterns that reveal how price really moves, instead of guessing based on indicators. Settings and How to Use Them Everything in the SMC Reversal Engine is designed to adapt to your trading style and help you read structure like a professional. When you open the Inputs Panel, you’ll see sections like Fractal Settings, FVG Settings, Buy/Sell Confirmation, and Educational Tools. Under Fractal Settings, you can choose the higher timeframe (HTF) that defines structure—from minutes to weeks. The Auto Fractal Sensitivity option automatically adjusts how tight or wide swing points are detected. Lower sensitivity captures short-term fluctuations (great for scalpers), while higher values filter noise and isolate major swing highs and lows (perfect for swing traders). The Fair Value Gap (FVG) options manage imbalance zones—the footprints of institutional orders. You can show or hide these zones, extend them into the future, and control how long they remain before auto-deletion. The Mark Entry When FVG is Tapped option places a small label when price revisits the gap—a potential entry signal that aligns with smart money logic. EMA Confirmation adds a layer of confluence. The script can automatically scale EMA lengths based on timeframe, or you can input your preferred values (for example, 9/21 for intraday, 50/200 for swing). Require EMA Crossover Confirmation helps filter false moves, keeping you trading only with aligned momentum. The Educational section gives traders visual reinforcement. When enabled, you’ll see tags like HH (Higher High), HL (Higher Low), LH (Lower High), and LL (Lower Low). These show structure shifts in real time, helping you learn visually what market structure really means. The Cheat Sheet panel summarizes each term, always visible in the corner for quick reference. Early Top Warnings use wick size and RSI divergence to signal when price may be overextended—a useful heads-up before potential CHoCH formations. Finally, the Narrative and Accuracy System translates structure into simple English—messages like Trend Bullish → Wait for HL or BOS Bearish → Expect LL. Over time, you can monitor how accurate these expectations have been, training your pattern recognition and confidence. Pro Tips for Getting the Most Out of the SMC Reversal Engine 1. Start on Higher Timeframes First: Begin on the 4H or Daily chart where structure is cleaner and signals have more weight. Then scale down for entries once you grasp directional intent. 2. Use FVGs for Context, Not Just Entries: Observe how price behaves around unfilled FVGs—they often act as magnets or barriers, offering insight into where liquidity lies. 3. Combine With HTF Bias: Always trade in the direction of your higher timeframe trend. A bullish weekly BOS means lower timeframes should ideally align bullishly for optimal setups. 4. Clean Charts = Clear Mind: Use Minimal Mode when focusing on price action, then toggle the educational tools back on to review structure for learning. 5. Don’t Chase Every CHoCH or BOS: Focus on significant breaks that align with broader context and liquidity sweeps, not minor fluctuations. 6. Accuracy Rate Is a Feedback Tool: Use the accuracy stat as a reflection of consistency—not a trade trigger. 7. Build Narrative Awareness: Read the on-chart narrative messages to reinforce structured thinking and stay disciplined. 8. Practice Replay Mode: Step through past structures to visually connect CHoCH, BOS, and FVG behavior. It’s one of the best ways to train pattern recognition. Summary * Detects CHoCH and BOS automatically with fractal precision * Identifies and manages Fair Value Gaps (FVGs) in real time * Displays a smart dashboard with accuracy tracking * Adapts label visibility dynamically by timeframe * Perfect for both learning and trading with institutional clarity This tool isn’t about predicting the market—it’s about understanding it. Once you can read structure, everything else in trading becomes secondary.
Индикатор Pine Script®
от renderingnature1
Multi Timeframe Bollinger Bands Spectrum [Ata]Multi-Timeframe Bollinger Bands Spectrum Technical Overview This script integrates multi-timeframe volatility analysis with volume-derived order flow estimation. By combining Bollinger Bands (statistical deviation) with internal candle volume logic, the indicator qualifies price movements to differentiate between sustained trends, reversals, and exhaustion events. The system is designed to provide a structural context for price action, visualizing market regimes through a dual-zone spectrum and filtering signals based on the interaction between price location and specific volume thresholds. Core Logic & Calculation 1. Volume Decomposition Algorithm Instead of using total volume, the script estimates Buying Pressure vs. Selling Pressure based on the close position relative to the candle's High/Low range: - Buying Volume (vb): Increases as the close approaches the High. - Selling Volume (vs): Increases as the close approaches the Low. This logic allows the detection of directional flow even within standard volume bars. 2. Statistical Spectrum The indicator renders deviations from the Basis (SMA) as two distinct zones: - Bullish Zone (Blue): Price positioning between the Basis and Upper Band. - Bearish Zone (Red): Price positioning between the Basis and Lower Band. This structure is applied across multiple timeframes (overlay) to visualize the macro trend context without noise. 3. Non-Repainting Execution To ensure historical accuracy and reliability for backtesting, all higher-timeframe data is requested using "lookahead_off". Signals are confirmed only upon the closure of the respective timeframe's candle. Signal Definitions Signals are generated only when specific Volatility and Volume conditions intersect: Reversal Setups (Reaction to Liquidity) - WALL: Triggered when price rejects the Upper Band accompanied by Extreme Selling Volume (vs > Limit). This suggests active limit sell orders absorbing the rally. - FLOOR: Triggered when price rejects the Lower Band accompanied by Extreme Buying Volume (vb > Limit). This suggests active limit buy orders absorbing the drop. - ABSORP: Identifies absorption near the lower bands where selling pressure is met with passive buying (indicated by lower wicks and relative buy volume). Momentum Setups (Trend Continuation) - POWER: Validates a breakout above the Upper Band only if supported by Dominant Buying Volume and a strong candle body. - PANIC: Validates a breakdown below the Lower Band only if supported by Dominant Selling Volume. - TRAP: Marks failed breakouts where price exits the bands but volume analysis contradicts the move (e.g., low directional volume). Exhaustion Setups (Statistical Extremes) - CLIMAX/CRASH: Identifies anomalies where price deviates significantly from the mean (Extreme Deviation) or when volume reaches unsustainable levels relative to the average, often preceding a mean reversion. Input Parameters - Bollinger Logic: Configuration for Length and Standard Deviation Multiplier. - Volume Thresholds: Adjustable factors for Minimum Volume (Trend) and Extreme Volume (Reversal/Climax). - Timeframe Layers: Toggle visibility for up to 5 higher timeframes. - Theme: Adjusts label contrast for Dark/Light backgrounds. Disclaimer This indicator is strictly for analytical purposes. It provides a visualization of past market data based on statistical and volumetric formulas. Users should apply their own risk management protocols.
Индикатор Pine Script®
от ata_sabanci
2
Z-Fusion Oscillator | Lyro RSThe Z-Fusion Oscillator converts five momentum indicators into Z-scores and blends them into one normalized signal that adapts across markets. By combining normalization, smoothing, and divergence detection, users can easily identify when momentum is accelerating, weakening, reversing, or entering extreme zones 🔶 USAGE The Z-Fusion Oscillator is designed to give traders a unified reading of market momentum—removing the noise of comparing tools that normally run on different scales. By transforming RSI, MACD histogram, Stochastic, Momentum, and Rate of Change into Z-scores, this tool standardizes all inputs, making trend strength and shifts easier to interpret. A dual-line system (fast Z-fusion line + slower baseline) highlights turning points, while overbought/oversold bands and “X-marks” help traders spot exhaustion and potential reversals. 🔹 Unified Momentum Structure The indicator’s core strength comes from combining five Z-scored signals into one average. Which makes momentum behavior more consistent across assets, reduces false extremes, and highlights true shifts in trend conviction. 🔹 Divergence Detection The tool includes fully integrated divergence detection: Regular Bullish Divergence: Price makes a lower low while Z-Fusion forms a higher low. Regular Bearish Divergence: Price makes a higher high while Z-Fusion forms a lower high Bullish and bearish divergences are marked directly on the oscillator with labels and colored pivot connections, making hidden momentum shifts obvious. 🔹 Visual Extremes Two sets of upper and lower Z-score thresholds help identify: Extreme overbought surges Extreme oversold drops Reversal zones Potential exhaustion conditions Background coloring reinforces when the oscillator moves beyond major levels, helping traders quickly assess momentum pressure. 🔹 Detecting Momentum Anomalies Z-scores allow the oscillator to highlight when market momentum behaves abnormally relative to its own recent history. For example: The oscillator reaching +1 or –1 after an extended trend may indicate a climax. A sharp Z-score reversal within an extreme zone can signal a trend exhaustion or a corrective move. Divergences often appear earlier due to normalization smoothing out indicator noise. This makes the Z-Fusion Oscillator particularly useful for spotting subtle shifts in trend direction that traditional indicators may miss. 🔶 DETAILS 🔹 Composite Z-Score Framework Each momentum tool is smoothed, normalized, and transformed: RSI → EMA-smoothed, Z-scored MACD histogram → Z-scored Stochastic → EMA + SMA smoothing, then Z-scored Momentum → EMA-smoothed, Z-scored Rate of Change → EMA-smoothed, Z-scored These are averaged into one composite Z-score to provide a consistent reading across assets and market conditions. 🔹 Fusion Trend Lines Two lines serve as the core signal: Fast Line (savg) – reacts quicker to trend changes Slow Line (savg2) – acts as a baseline filter Crossovers between these lines highlight momentum shifts, while their color reflects trend bias. 🔹 Overbought/Oversold Zones Two upper and two lower Z-score thresholds define “zones”: Upper zones highlight overheated momentum or potential bearish reversals Lower zones highlight depressed momentum or potential bullish reversals Filled regions and background colors help visually confirm extreme conditions. 🔹 Pivot-Based Divergence Engine The script includes filtered pivot detection with customizable look-backs and range limits to ensure divergences are meaningful, not noise-driven. 🔶 SETTINGS 🔹 Indicator Settings Source — Price series used for all calculations. Z-Score Length — Lookback period for Z-score normalization. Z-Score MA Length — Smoothing length for the fusion signal lines. Overbought/Oversold Levels — Four customizable threshold lines. Color Palette — Choose from preset themes or define custom colors. 🔹 RSI Length — RSI calculation period. EMA Smoothing Length — Smooths RSI before Z-score conversion. 🔹 MACD Fast Length — Fast EMA length. Slow Length — Slow EMA length. Signal Line Length — MACD signal smoothing. 🔹 Stochastic %K Length — Main stochastic length. EMA Smoothing — Smooths %K for stability. %D Length — Smoothing for the signal line. 🔹 Momentum Length — Momentum lookback. EMA Smoothing — Smooths momentum before Z-scoring. 🔹 Rate of Change Length — ROC lookback. EMA Smoothing — Smooths ROC values. 🔹 Divergence Enable/Disable Divergence Detection — Toggle divergence engine. Pivot Left/Right Lookback — Defines pivot detection sensitivity. Detection Range Limits — Controls allowable range for divergence. Bull/Bear Colors & Styling — Customize divergence visualization. 🔶 SUMMARY The Z-Fusion Oscillator combines multiple momentum signatures into a single normalized signal, enabling traders to: Identify reversals early Detect momentum exhaustion Spot bullish and bearish divergences Track overbought/oversold conditions Visualize trend strength with clarity Whether you're a swing trader, intraday analyst, or trend-reversal hunter, the Z-Fusion Oscillator provides a powerful and adaptive way to read momentum.
Индикатор Pine Script®
от LyroRS
Static K-means Clustering | InvestorUnknownStatic K-Means Clustering is a machine-learning-driven market regime classifier designed for traders who want a data-driven structure instead of subjective indicators or manually drawn zones. This script performs offline (static) K-means training on your chosen historical window. Using four engineered features: RSI (Momentum) CCI (Price deviation / Mean reversion) CMF (Money flow / Strength) MACD Histogram (Trend acceleration) It groups past market conditions into K distinct clusters (regimes). After training, every new bar is assigned to the nearest cluster via Euclidean distance in 4-dimensional standardized feature space. This allows you to create models like: Regime-based long/short filters Volatility phase detectors Trend vs. chop separation Mean-reversion vs. breakout classification Volume-enhanced money-flow regime shifts Full machine-learning trading systems based solely on regimes Note: This script is not a universal ML strategy out of the box. The user must engineer the feature set to match their trading style and target market. K-means is a tool, not a ready made system, this script provides the framework. Core Idea K-means clustering takes raw, unlabeled market observations and attempts to discover structure by grouping similar bars together. // STEP 1 — DATA POINTS ON A COORDINATE PLANE // We start with raw, unlabeled data scattered in 2D space (x/y). // At this point, nothing is grouped—these are just observations. // K-means will try to discover structure by grouping nearby points. // // y ↑ // | // 12 | • // | • // 10 | • // | • // 8 | • • // | // 6 | • // | // 4 | • // | // 2 |______________________________________________→ x // 2 4 6 8 10 12 14 // // // // STEP 2 — RANDOMLY PLACE INITIAL CENTROIDS // The algorithm begins by placing K centroids at random positions. // These centroids act as the temporary “representatives” of clusters. // Their starting positions heavily influence the first assignment step. // // y ↑ // | // 12 | • // | • // 10 | • C2 × // | • // 8 | • • // | // 6 | C1 × • // | // 4 | • // | // 2 |______________________________________________→ x // 2 4 6 8 10 12 14 // // // // STEP 3 — ASSIGN POINTS TO NEAREST CENTROID // Each point is compared to all centroids. // Using simple Euclidean distance, each point joins the cluster // of the centroid it is closest to. // This creates a temporary grouping of the data. // // (Coloring concept shown using labels) // // - Points closer to C1 → Cluster 1 // - Points closer to C2 → Cluster 2 // // y ↑ // | // 12 | 2 // | 1 // 10 | 1 C2 × // | 2 // 8 | 1 2 // | // 6 | C1 × 2 // | // 4 | 1 // | // 2 |______________________________________________→ x // 2 4 6 8 10 12 14 // // (1 = assigned to Cluster 1, 2 = assigned to Cluster 2) // At this stage, clusters are formed purely by distance. Your chosen historical window becomes the static training dataset , and after fitting, the centroids never change again. This makes the model: Predictable Repeatable Consistent across backtests Fast for live use (no recalculation of centroids every bar) Static Training Window You select a period with: Training Start Training End Only bars inside this range are used to fit the K-means model. This window defines: the market regime examples the statistical distributions (means/std) for each feature how the centroids will be positioned post-trainin Bars before training = fully transparent Training bars = gray Post-training bars = full colored regimes Feature Engineering (4D Input Vector) Every bar during training becomes a 4-dimensional point: This combination balances: momentum, volatility, mean-reversion, trend acceleration giving the algorithm a richer "market fingerprint" per bar. Standardization To prevent any feature from dominating due to scale differences (e.g., CMF near zero vs CCI ±200), all features are standardized: standardize(value, mean, std) => (value - mean) / std Centroid Initialization Centroids start at diverse coordinates using various curves: linear sinusoidal sign-preserving quadratic tanh compression init_centroids() => // Spread centroids across using different shapes per feature for c = 0 to k_clusters - 1 frac = k_clusters == 1 ? 0.0 : c / (k_clusters - 1.0) // 0 → 1 v = frac * 2 - 1 // -1 → +1 array.set(cent_rsi, c, v) // linear array.set(cent_cci, c, math.sin(v)) // sinusoidal array.set(cent_cmf, c, v * v * (v < 0 ? -1 : 1)) // quadratic sign-preserving array.set(cent_mac, c, tanh(v)) // compressed This makes initial cluster spread “random” even though true randomness is hardly achieved in pinescript. K-Means Iterative Refinement The algorithm repeats these steps: (A) Assignment Step, Each bar is assigned to the nearest centroid via Euclidean distance in 4D: distance = sqrt(dx² + dy² + dz² + dw²) (B) Update Step, Centroids update to the mean of points assigned to them. This repeats iterations times (configurable). LIVE REGIME CLASSIFICATION After training, each new bar is: Standardized using the training mean/std Compared to all centroids Assigned to the nearest cluster Bar color updates based on cluster No re-training occurs. This ensures: No lookahead bias Clean historical testing Stable regimes over time CLUSTER BEHAVIOR & TRADING LOGIC Clusters (0, 1, 2, 3…) hold no inherent meaning. The user defines what each cluster does. Example of custom actions: Cluster 0 → Cash Cluster 1 → Long Cluster 2 → Short Cluster 3+ → Cash (noise regime) This flexibility means: One trader might have cluster 0 as consolidation. Another might repurpose it as a breakout-loading zone. A third might ignore 3 clusters entirely. Example on ETHUSD Important Note: Any change of parameters or chart timeframe or ticker can cause the “order” of clusters to change The script does NOT assume any cluster equals any actionable bias, user decides. PERFORMANCE METRICS & ROC TABLE The indicator computes average 1-bar ROC for each cluster in: Training set Test (live) set This helps measure: Cluster profitability consistency Regime forward predictability Whether a regime is noise, trend, or reversion-biased EQUITY SIMULATION & FEES Designed for close-to-close realistic backtesting. Position = cluster of previous bar Fees applied only on regime switches. Meaning: Staying long → no fee Switching long→short → fee applied Switching any→cash → fee applied Fee input is percentage, but script already converts internally. Disclaimers ⚠️ This indicator uses machine-learning but does not predict the future. It classifies similarity to past regimes, nothing more. ⚠️ Backtest results are not indicative of future performance. ⚠️ Clusters have no inherent “bullish” or “bearish” meaning. You must interpret them based on your testing and your own feature engineering.
Индикатор Pine Script®
от InvestorUnknown
Fib and Slope Trend Detector [EWT] + MTF Dashboard🚀 Overview The Momentum Structure Trend Detector is a sophisticated trend-following tool that combines Price Velocity (Slope) with Market Structure (Fibonacci) to identify high-probability trend reversals and continuations. Unlike traditional indicators that rely heavily on lagging moving averages, this script analyzes the speed of price action in real-time. It operates on the core principle of market structure: Impulse moves are fast and steep, while corrections are slow and shallow. 🧠 The Logic: Physics Meets Market Structure This indicator determines the trend direction by calculating the Slope (Velocity) of price swings. ZigZag Calculation: It first identifies market swings (Highs and Lows) using a standard pivot detection algorithm. Slope Calculation: It calculates the velocity of every completed leg using the formula: $Slope = \frac{|Price Change|}{|Time Duration|}$. Trend Definition: Uptrend : If the previous Up-move was fast (Impulse) and the subsequent Down-move is slower (Correction), the market is primed for an uptrend. Downtrend : If the previous Down-move was fast (Impulse) and the subsequent Up-move is slower (Correction), the market is primed for a downtrend. 🔥 Key Features 1. Aggressive Real-Time Detection (No Lag) Most structure indicators wait for a "Higher High" to confirm a trend, which often leads to late entries. This script uses an Aggressive Live Slope calculation: It compares the current developing slope of the live price action against the slope of the previous completed leg. Result: As soon as the current move becomes "steeper" (faster) than the previous correction, the trend flips immediately. This allows you to catch the "meat" of the move before a new pivot is even confirmed. 2. Fibonacci Validity Filter Momentum alone isn't enough; we need structural integrity. The script calculates the 78.6% Retracement level of the impulse leg. If a correction moves deeper than this Fibonacci limit (on a closing basis), the trend structure is considered "broken" or "invalid," and the indicator switches to a Neutral state. This filters out choppy/ranging markets. 3. Multi-Timeframe (MTF) Dashboard A customizable dashboard on the chart allows for fractal analysis. You can view the trend state (UP/DOWN/NEUTRAL) across 9 different timeframes (1m to 1M) simultaneously. Green Row : Uptrend Red Row : Downtrend Gray : Neutral/Indeterminate 4. Smart Visuals Background Colo r: Changes dynamically (Teal for Bullish, Red for Bearish, Gray for Neutral) to give you an instant read of the market state. Slope Labels : Displays the calculated numeric slope on the chart, helping you visualize the momentum difference between impulse and corrective waves. Invalidation Levels : Automatically plots the invalidation line (Stop Loss level) based on the market structure. 🛠️ Settings & Inputs Strategy Settings Pivot Deviation Length : Sensitivity of the ZigZag calculation (Default: 5). Lower numbers = more sensitive to small swings. Max Retracement % : The Fibonacci limit for a valid correction (Default: 78.6%). Min Bars for Live Calc : To prevent noise, the script waits for this many bars after a pivot before calculating the "Live Slope" (Default: 3). Dashboard Settings Show Dashboard : Toggle the table on/off. Timeframe Toggles : Enable/Disable specific timeframes (1m, 5m, 15m, 30m, 1H, 4H, 1D, 1W, 1M) to suit your trading style. 🎯 How to Use Wait for Background Change : When the background turns Teal, it indicates that a corrective pullback has ended and a new impulse with high velocity has begun. Check Invalidation : Look at the plotted Stop Loss Level. If price closes below this line, the trade idea is invalid. Confirm with Dashboard : Use the table to ensure the higher timeframes (e.g., 1H, 4H) align with your current chart's direction for higher probability setups. Disclaimer : This tool is designed for trend analysis and educational purposes. Past performance (momentum) is not indicative of future results. Always manage your risk.
Индикатор Pine Script®
от YetAnotherTA
2
Super momentum DBSISuper momentum DBSI: The Ultimate Guide 1. What is this Indicator? The Super momentum DBSI is a "Consensus Engine." Instead of relying on a single line (like an RSI) to tell you where the market is going, this tool calculates 33 distinct technical indicators simultaneously for every single candle. It treats the market like a democracy. It asks 33 mathematical "voters" (Momentum, Trend, Volume, Volatility) if they are Bullish or Bearish. If 30 out of 33 say "Buy," the score is high (Yellow), and the trend is extremely strong. If only 15 say "Buy," the score is low (Teal), and the trend is weak or choppy. 2. Visual Guide: How to Read the Numbers The Scores Top Number (Bears): Represents Selling Pressure. Bottom Number (Bulls): Represents Buying Pressure. The Colors (The Traffic Lights) The colors are your primary signal. They tell you who is currently winning the war. 🟡 YELLOW (Dominance): This indicates the Winning Side. If the Bottom Number is Yellow, Bulls are in control. If the Top Number is Yellow, Bears are in control. 🔴 RED (Weakness): This appears on the Top. It means Bears are present but losing. 🔵 TEAL (Weakness): This appears on the Bottom. It means Bulls are present but losing. 3. Trading Strategy Scenario A: The "Strong Buy" (Long Entry) The Setup: You are looking for a shift in momentum where Buyers overwhelm Sellers. Watch the Bottom Number: Wait for it to turn Yellow. Confirm Strength: Ensure the score is above 15 and rising (e.g., 12 → 18 → 22). Check the Top: The Top Number should be Red and low (below 10). Trigger: Enter on the candle close. Scenario B: The "Strong Sell" (Short Entry) The Setup: You are looking for Sellers to crush the Buyers. Watch the Top Number: Wait for it to turn Yellow. Confirm Strength: Ensure the score is above 15 and rising. Check the Bottom: The Bottom Number should be Teal and low. Trigger: Enter on the candle close. Scenario C: The "No Trade Zone" (Choppy Market) The Setup: The market is confused. Visual: Top is Red, Bottom is Teal. Meaning: NOBODY IS WINNING. There is no Yellow number. Action: Do not trade. This usually happens during lunch hours, weekends, or right before big news. This filter alone will save you from many false breakouts. 4. What is Inside? (The 33 Indicators) To give you confidence in the signals, here is exactly what the script is checking: Group 1: Momentum (Oscillators) Detects if price is moving fast. RSI (Relative Strength Index) CCI (Commodity Channel Index) Stochastic Williams %R Momentum Rate of Change (ROC) Ultimate Oscillator Awesome Oscillator True Strength Index (TSI) Stoch RSI TRIX Chande Momentum Oscillator Group 2: Trend Direction Detects the general path of the market. 13. MACD 14. Parabolic SAR 15. SuperTrend 16. ALMA (Moving Average) 17. Aroon 18. ADX (Directional Movement) 19. Coppock Curve 20. Ichimoku Conversion Line 21. Hull Moving Average Group 3: Price Action Detects where price is relative to averages. 22. Price vs EMA 20 23. Price vs EMA 50 24. Price vs EMA 200 Group 4: Volume & Force Detects if there is money behind the move. 25. Money Flow Index (MFI) 26. On Balance Volume (OBV) 27. Chaikin Money Flow (CMF) 28. VWAP (Intraday) 29. Elder Force Index 30. Ease of Movement Group 5: Volatility Detects if price is pushing the outer limits. 31. Bollinger Bands 32. Keltner Channels 33. Donchian Channels 5. Pro Tips for Success Don't Catch Knives: If the Bear score (Top) is Yellow and 25+, do not try to buy the dip. Wait for the Yellow score to break. Exit Early: If you are Long and the Yellow Bull score drops from 28 to 15 in one candle, TAKE PROFIT. The momentum has died. Use Higher Timeframes: This indicator works best on 15m, 1H, and 4H charts. On the 1m chart, it may be too volatile.
Индикатор Pine Script®
от TradBee
Dresteghamat:Adaptive Multi-TF Decision Engine**Dresteghamat: Adaptive Multi-Timeframe Decision Engine** This open-source indicator is an algorithmic decision-support system designed to filter market noise by quantifying three core market dimensions: **Regime**, **Direction**, and **Exhaustion**. **⚠️ Technical Note on Originality:** This script solves the "Timeframe Irrelevance" problem found in standard dashboards. Instead of using static HTF references, it implements a custom **"Adaptive Context Engine"** (see lines 245-270 in source code). It calculates the user's current `timeframe.multiplier` and dynamically maps the mathematically relevant Higher Timeframes. * *Innovation:* A 5m chart automatically weights 15m/1H structure, whereas a 1H chart weights 4H/Daily structure. This dynamic logic is proprietary and ensures contextual accuracy. --- ### 🛠️ Logic & Calculation Methodology The script does not simply overlay indicators. It processes raw market data through a **Weighted Scoring Engine** (lines 275-285) to output a unified market state. **1. Regime Identification (Volatility Normalized)** We calculate a custom "Volatility Ratio" to distinguish Trend vs. Range regimes. * **Logic:** `Range / Smoothed_ATR`. * **Function:** If Ratio > 2.0, the market is in Expansion (Trend). If < 1.2, it is in Compression (Range). This normalizes volatility across assets (Crypto/Forex/Stocks). **2. Directional Bias (Composite Metric)** Direction is calculated via a voting system of three sub-components (lines 80-130): * **Structural Pivots:** Detects Swing Highs/Lows using a 25-bar lookback to define market structure. * **Cumulative Body Delta:** Tracks the net buying/selling pressure within candle bodies. * **Micro-Flow:** A short-term (5-bar) momentum filter to detect immediate order flow shifts. **3. Exhaustion Model (Risk Management)** The script prevents late entries by calculating an "Exhaustion Score" (lines 150-200). It aggregates: * **VRSD (Volatility Regime Shift):** Detects when volatility expands > 2 standard deviations (Mean Reversion risk). * **Volume Decay (VEFF):** Identifies Divergence where price makes new highs on declining Volume MA. * **RSI/Impulse Divergence:** Standard momentum divergence logic. **4. The Decision Output (MODE)** The dashboard renders a final signal based on a hierarchical algorithm: * **BUY/SELL ONLY:** Triggered when Current Momentum aligns with the Dynamically Selected HTF Structure AND the Exhaustion Score is low. * **PULLBACK:** Triggered when HTF Structure is bullish, but Current Momentum is bearish (indicating a corrective phase). * **HTF EXHAUST:** Overrides signals when the Higher Timeframe metrics hit extreme levels. * **WAIT:** Default state during Range Regimes or conflicting signals. --- ### 📊 Usage Guide 1. Apply to chart (Auto-adapts to any timeframe). 2. **Status Column:** Shows the raw health of the trend (Strong/Weakening/Exhausted). 3. **MODE Column:** Displays the final actionable bias based on the scoring algorithm. **Disclaimer:** This tool provides statistical analysis based on historical data. It does not guarantee future results.
Индикатор Pine Script®
от dr-esteghamat
4
[ZP] Fixed v6 testBenefits Alternate signal mode works correctly: signals only fire when switching from the opposite state. No duplicate signals: plotshape fires only on state changes. State tracking is reliable: CondIni persists across bars. Cleaner code: removed redundant assignments. Consistent behavior: long and short signals use the same state-change logic. Testing recommendations Test on multiple timeframes (1m, 5m, 15m, 1h, 4h, 1D) to verify: Signals appear only on state changes. Alternate signal mode requires switching from the opposite state. No duplicate signals on consecutive bars. Expiry logic works as expected. These changes should make the indicator more reliable and predictable.
Индикатор Pine Script®
от Justas123