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Trend Analysis

Smart Grid Levels - Based on High/LowSmart Fibo - Calculation of Key Levels: - Finds the highest and lowest price within the lookbackBars range. - Computes the price difference (diff) between the high and low. - Determines the step size (step) by dividing diff by levels, creating evenly spaced grid levels. - Drawing the Grid Levels: - A loop (for i = 0 to levels) iterates through the number of levels. - Each level is calculated based on the lowest price plus increments of step. - Horizontal lines (line.new) are drawn at each level and extended rightward. - If showLabels is enabled, price labels are placed at each level. Usage in Trading : - Helps identify support and resistance zones based on price range. - Useful for grid trading strategies, where traders buy near lower levels and sell near higher ones. - Provides a structured view of price movement without relying on traditional indicators.
Pine Script® indicator
by AboBassil
CISD Levels by HAZEDCISD Levels by HAZED - Advanced Market Structure Analysis 📊 Overview The CISD Levels indicator is a sophisticated market structure analysis tool that automatically identifies and plots critical support and resistance levels based on Change in State Direction (CISD) methodology. This indicator helps traders visualize key market turning points and potential breakout/breakdown levels with precision. 🎯 What are CISD Levels? CISD (Change in State Direction) levels represent significant price points where market sentiment shifts from bullish to bearish or vice versa. These levels are dynamically calculated based on: Market structure breaks (higher highs/lower lows) Pullback patterns and trend continuations Real-time price action analysis Dynamic level updates as market conditions evolve ✨ Key Features 🔥 Smart Level Detection Automatically identifies bullish (+CISD) and bearish (-CISD) levels Real-time updates as market structure evolves Intelligent pullback detection algorithm 🎨 Full Customization Colors: Customize bullish/bearish level colors Line Styles: Choose from solid, dotted, or dashed lines Text Labels: Fully customizable text, size, and font options Transparency: Adjustable line transparency (0-100%) Extensions: Control how far lines extend into the future 📈 Historical Analysis Show All Levels: Option to display historical CISD levels Max Levels Control: Limit the number of historical levels shown (1-50) Level Management: Automatic cleanup of old levels 🚨 Smart Alerts Bullish Alerts: Get notified when price breaks above +CISD levels Bearish Alerts: Get notified when price breaks below -CISD levels Alert Frequency: Choose between "Once Per Bar" or "Once Per Bar Close" 📊 Statistics Table Market State: Current bullish/bearish market condition Active Levels: Count of currently active CISD levels Latest Levels: Display of most recent +CISD and -CISD values Positioning: 5 different table positions available 🛠️ How to Use For Swing Traders: Use CISD levels as key support/resistance zones Enter positions on level breaks with proper risk management Set stop losses below/above opposite CISD levels For Day Traders: Watch for price reactions at CISD levels Use levels for entry/exit timing Combine with volume analysis for confirmation For Position Traders: Identify major market structure changes Use higher timeframe CISD levels for strategic entries Monitor level breaks for trend continuation signals ⚙️ Settings Guide CISD Level Settings Bullish/Bearish Colors: Customize level appearance Custom Text: Add your own labels to levels Alert Setup: Enable notifications for level breaks Historical Levels: Choose to show past levels for context Appearance Customization Line Width: 1-5 pixel thickness options Line Style: Solid, dotted, or dashed Extension Bars: Control future projection (1-50 bars) Text Options: Size, font, and bold formatting Statistics Table Enable/Disable: Toggle table visibility Position: 5 placement options on chart Real-time Data: Live market state and level information 🎯 Best Practices Multi-Timeframe Analysis: Use CISD levels across different timeframes for confluence Risk Management: Always use proper position sizing and stop losses Confirmation: Combine with volume, momentum, or other indicators Market Context: Consider overall market conditions and news events Backtesting: Test the levels on historical data before live trading 📋 Technical Specifications Overlay: True (plots directly on price chart) Max Lines: 500 (handles multiple historical levels) Max Labels: 500 (supports extensive labeling) Real-time Updates: Dynamic level calculation and alerts Performance: Optimized code for smooth chart operation 🚀 Why Choose CISD Levels? Precision: Advanced algorithm for accurate level identification Flexibility: Extensive customization options for any trading style Reliability: Proven market structure analysis methodology User-Friendly: Intuitive settings with helpful tooltips Professional: Clean, professional appearance on any chart 📞 Support & Updates This indicator is actively maintained and updated. For questions, suggestions, or feature requests, feel free to reach out through TradingView messaging. ⚠️ Disclaimer: This indicator is for educational and informational purposes only. Always conduct your own analysis and risk management. Past performance does not guarantee future results.
Pine Script® indicator
by hazedoptions
3
OA - SMESSmart Money Entry Signals (SMES) The SMES indicator is developed to identify potential turning points in market behavior by analyzing internal price dynamics, rather than relying on external volume or sentiment data. It leverages normalized price movement, directional volatility, and smoothing algorithms to detect potential areas of accumulation or distribution by market participants. Core Concepts Smart Money Flow calculation based on normalized price positioning Directional VHF (Vertical Horizontal Filter) used to enhance signal directionality Overbought and Oversold regions defined with optional glow visualization Entry and Exit signals based on dynamic crossovers Highly customizable input parameters for precision control Key Inputs Smart Money Flow Period Smoothing Period Price Analysis Length Fibonacci Lookback Length Visual toggle options (zones, glow effects, signal display) Usage This tool plots the smoothed smart money flow as a standalone oscillator, designed to help traders identify potential momentum shifts or extremes in market sentiment. Entry signals are generated through crossover logic, while optional filters based on price behavior can refine those signals. Exit signals are shown when the smart money line exits extreme regions. Important Notes This indicator does not repaint Works on all timeframes and instruments Best used as a confirmation tool with other technical frameworks All calculations are based strictly on price data Disclaimer This script is intended for educational purposes only. It does not provide financial advice or guarantee performance. Please do your own research and apply appropriate risk management before making any trading decisions.
Pine Script® indicator
by onurag
4
Kaufman Trend Strategy# ✅ Kaufman Trend Strategy – Full Description (Script Publishing Version) **Kaufman Trend Strategy** is a dynamic trend-following strategy based on Kaufman Filter theory. It detects real-time trend momentum, reduces noise, and aims to enhance entry accuracy while optimizing risk. ⚠️ _For educational and research purposes only. Past performance does not guarantee future results._ --- ## 🎯 Strategy Objective - Smooth price noise using Kaufman Filter smoothing - Detect the strength and direction of trends with a normalized oscillator - Manage profits using multi-stage take-profits and adaptive ATR stop-loss logic --- ## ✨ Key Features - **Kaufman Filter Trend Detection** Extracts directional signal using a state space model. - **Multi-Stage Profit-Taking** Automatically takes partial profits based on color changes and zero-cross events. - **ATR-Based Volatility Stops** Stops adjust based on swing highs/lows and current market volatility. --- ## 📊 Entry & Exit Logic **Long Entry** - `trend_strength ≥ 60` - Green trend signal - Price above the Kaufman average **Short Entry** - `trend_strength ≤ -60` - Red trend signal - Price below the Kaufman average **Exit (Long/Short)** - Blue trend color → TP1 (50%) - Oscillator crosses 0 → TP2 (25%) - Trend weakens → Final exit (25%) - ATR + swing-based stop loss --- ## 💰 Risk Management - Initial capital: `$3,000` - Order size: `$100` per trade (realistic, low-risk sizing) - Commission: `0.002%` - Slippage: `2 ticks` - Pyramiding: `1` max position - Estimated risk/trade: `~0.1–0.5%` of equity > ⚠️ _No trade risks more than 5% of equity. This strategy follows TradingView script publishing rules._ --- ## ⚙️ Default Parameters - **1st Take Profit**: 50% - **2nd Take Profit**: 25% - **Final Exit**: 25% - **ATR Period**: 14 - **Swing Lookback**: 10 - **Entry Threshold**: ±60 - **Exit Threshold**: ±40 --- ## 📅 Backtest Summary - **Symbol**: USD/JPY - **Timeframe**: 1H - **Date Range**: Jan 3, 2022 – Jun 4, 2025 - **Trades**: 924 - **Win Rate**: 41.67% - **Profit Factor**: 1.108 - **Net Profit**: +$1,659.29 (+54.56%) - **Max Drawdown**: -$1,419.73 (-31.87%) --- ## ✅ Summary This strategy uses Kaufman filtering to detect market direction with reduced lag and increased smoothness. It’s built with visual clarity and strong trade management, making it practical for both beginners and advanced users. --- ## 📌 Disclaimer This script is for educational and informational purposes only and should not be considered financial advice. Use with proper risk controls and always test in a demo environment before live trading.
Pine Script® strategy
by PakunFX
Curved Trend Channels (Zeiierman)█ Overview Curved Trend Channels (Zeiierman) is a next-generation trend visualization tool engineered to adapt dynamically to both linear and non-linear market behavior. It introduces a novel curvature-based channeling system that grows over time during trending conditions, mirroring the natural acceleration of price trends, while simultaneously leveraging adaptive range filtering and dual-layer candle trend logic. This tool is ideal for traders seeking smooth yet reactive dynamic channels that evolve with market structure. Whether used in curved mode or traditional slope mode, it provides exceptional clarity on trend transitions, volatility compression, and breakout development. █ How It Works ⚪ Adaptive Range Filter Foundation The core of the system is a volatility-based range filter that determines the underlying structure of the bands: Pre-Smoothing of High/Low Data – Highs and lows are smoothed using a selectable moving average (SMA, EMA, HMA, KAMA, etc.) before calculating the volatility range. Volatility Envelope – The range is scaled using a fixed factor (2.618) and further adjusted by a Band Multiplier to form the primary envelope around price. Smoothed Volatility Curve – Final bands are stabilized using a long lookback, ensuring clean visual structure and trend clarity. ⚪ Curved Channel Logic In Curved Mode, the trend channel grows over time when the trend direction remains unchanged: Base Step Size (× ATR) – Sets the minimum unit of slope change. Growth per Bar (× ATR) – Defines the acceleration rate of the channel slope with time. Trend Persistence Recognition – The longer a trend persists, the more pronounced the slope becomes, mimicking real market accelerations. This dynamic, time-dependent logic enables the channel to "curve" upward or downward, tracking long-standing trends with increasing confidence. ⚪ Trend Slope As an alternative to curved logic, traders can activate a regular Trend slope using: Slope Length – Determines how quickly the trend line adapts to price shifts. Multiplicative Factor – Amplifies the sensitivity of the slope, useful in fast-moving markets or lower timeframes. ⚪ Candle Trend Confirmation A robust second-layer trend detection method, the Candle Trend System evaluates directional pressure by analyzing smoothed price action: Multi-tier Smoothing – Trend lines are derived from short-, medium-, and long-term candle movement. █ How to Use ⚪ Trend Identification When the Trend Line direction and Candle Colors are in agreement, this indicates strong, persistent directional conviction. Use these moments to enter with trend confirmation and manage risk more confidently. ⚪ Retest During ongoing trends, the price will often pull back into the dynamic channel. Look for: Support/resistance interactions at the upper or lower bands. █ Settings Scaled Volatility Length – Controls the historical depth used to stabilize the volatility bands. Smoothing Type – Choose from HMA, KAMA, VIDYA, FRAMA, Super Smoother, etc. to match your asset and trading style. Volatility MA Length – Smoothing length for the calculated range; shorter = more reactive. High/Low Smoother Length – Additional smoothing to reduce noise from spikes or false pivots. Band Multiplier – Widens or tightens the band range based on personal preference. Enable Curved Channel – Toggle between curved or regular trend slope behavior. Base Step (× ATR) – The starting point for curved slope progression. Growth per Bar (× ATR) – How much the slope accelerates per bar during a sustained trend. Slope – Reactivity of the standard trend line to price movements. Multiplicative Factor – Sensitivity adjustment for HyperTrend slope. Candle Trend Length – Lookback period for trend determination from candle structure. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Pine Script® indicator
by Zeiierman
9
Frequent Swing Trading Supertrend Strategy (Daily)Made By Riddhiman Bandyopadhyay How to Use- Set Chart to Daily: Ensure your TradingView chart is set to a daily timeframe (D). Add Strategy: Copy the Pine Script code into TradingView’s Pine Editor, compile, and add it to your NIFTY chart. Logic Behind the Backtest : Use TradingView’s Strategy Tester to evaluate performance over the past few months (e.g., March to June 2025). Check if the buy/sell signals occur more frequently and capture shorter swings. Fine-Tune: If signals are too frequent (leading to whipsaws), increase atr Period to 12 or factor to 3.5. If still not frequent enough, reduce maPeriod to 8 or lower the RSI thresholds to 65/35. Why This Should Work Better Increased Sensitivity: The Supertrend (ATR 10, factor 3.0) and 10-period SMA make the strategy more responsive to daily price movements, generating more signals. Fewer Restrictions: Removing the 50-period SMA filter and loosening entry conditions allow trades in a wider range of market conditions. Quicker Exits: The 3% profit target encourages faster exits, freeing up capital for new trades, thus increasing frequency. Balanced Filtering: The RSI (70/30) still filters out extreme conditions, but it’s less restrictive, allowing more trades.
Pine Script® strategy
by mailganapatisolutions
CNN Statistical Trading System [PhenLabs]📌 DESCRIPTION An advanced pattern recognition system utilizing Convolutional Neural Network (CNN) principles to identify statistically significant market patterns and generate high-probability trading signals. CNN Statistical Trading System transforms traditional technical analysis by applying machine learning concepts directly to price action. Through six specialized convolution kernels, it detects momentum shifts, reversal patterns, consolidation phases, and breakout setups simultaneously. The system combines these pattern detections using adaptive weighting based on market volatility and trend strength, creating a sophisticated composite score that provides both directional bias and signal confidence on a normalized -1 to +1 scale. 🚀 CONCEPTS • Built on Convolutional Neural Network pattern recognition methodology adapted for financial markets • Six specialized kernels detect distinct price patterns: upward/downward momentum, peak/trough formations, consolidation, and breakout setups • Activation functions create non-linear responses with tanh-like behavior, mimicking neural network layers • Adaptive weighting system adjusts pattern importance based on current market regime (volatility < 2% and trend strength) • Multi-confirmation signals require CNN threshold breach (±0.65), RSI boundaries, and volume confirmation above 120% of 20-period average 🔧 FEATURES Six-Kernel Pattern Detection: Simultaneous analysis of upward momentum, downward momentum, peak/resistance, trough/support, consolidation, and breakout patterns using mathematically optimized convolution kernels. Adaptive Neural Architecture: Dynamic weight adjustment based on market volatility (ATR/Price) and trend strength (EMA differential), ensuring optimal performance across different market conditions. Professional Visual Themes: Four sophisticated color palettes (Professional, Ocean, Sunset, Monochrome) with cohesive design language. Default Monochrome theme provides clean, distraction-free analysis. Confidence Band System: Upper and lower confidence zones at 150% of threshold values (±0.975) help identify high-probability signal areas and potential exhaustion zones. Real-Time Information Panel: Live display of CNN score, market state with emoji indicators, net momentum, confidence percentage, and RSI confirmation with dynamic color coding based on signal strength. Individual Feature Analysis: Optional display of all six kernel outputs with distinct visual styles (step lines, circles, crosses, area fills) for advanced pattern component analysis. User Guide • Monitor CNN Score crossing above +0.65 for long signals or below -0.65 for short signals with volume confirmation • Use confidence bands to identify optimal entry zones - signals within confidence bands carry higher probability • Background intensity reflects signal strength - darker backgrounds indicate stronger conviction • Enter long positions when blue circles appear above oscillator with RSI < 75 and volume > 120% average • Enter short positions when dark circles appear below oscillator with RSI > 25 and volume confirmation • Information panel provides real-time confidence percentage and momentum direction for position sizing decisions • Individual feature plots allow granular analysis of specific pattern components for strategy refinement 💡Conclusion CNN Statistical Trading System represents the evolution of technical analysis, combining institutional-grade pattern recognition with retail accessibility. The six-kernel architecture provides comprehensive market pattern coverage while adaptive weighting ensures relevance across all market conditions. Whether you’re seeking systematic entry signals or advanced pattern confirmation, this indicator delivers mathematically rigorous analysis with intuitive visual presentation.
Pine Script® indicator
by PhenLabs
2
IU Pivot Zones + GMADESCRIPTION: IU Pivot Zones + GMA is a smart price-action-based indicator that detects meaningful support and resistance zones formed through pivot highs/lows while combining them with dynamic zone generation and Geometric Moving Averages (GMA). This tool is built to help traders visualize institutional breakout/rejection zones with clear, logical mapping and live box management — helping you stay ahead of the move. The indicator is designed for intraday, swing, and positional traders who want to enhance their trading decisions with visual confluence zones and market structure logic. USER INPUTS * Pivot point Lengths: Number of bars used to detect pivot highs/lows * Zone length: Controls the thickness of the support/resistance zone; higher values create wider zones * GMA Length: Period for calculating the geometric moving averages based on highs and lows * Allow Bar/candle Color: Enables or disables special candle coloring when price interacts with the zones LOGIC OF THE INDICATOR: * Detects pivot highs and pivot lows using the user-defined length * Compares consecutive pivot levels to determine if they fall within a valid ATR-based price band to form a zone * If confirmed, the indicator dynamically plots a resistance or support box between those pivot points, colored respectively (red for resistance, green for support) * The boxes update in real-time based on price action. If price respects the zone, the box extends forward. If price breaks the zone, the box disappears * Geometric Moving Averages (GMA) based on logarithmic mean of highs and lows are plotted to offer a trend bias * Candles that touch the top of the support zone are colored yellow, and those touching the bottom of the resistance zone are orange, enhancing zone reaction visibility WHY IT IS UNIQUE: * Uses logarithmic-based GMAs, which are smoother and less reactive than traditional moving averages * ATR-based zone logic makes it adaptive to volatility instead of using fixed-width zones * Combines structural levels (pivots), volatility filters (ATR), and trend overlays (GMA) in one unified tool * Real-time zone extension and disappearance logic based on price interaction HOW USER CAN BENEFIT FROM IT: * Spot high-probability breakout or reversal zones that price respects consistently * Use the GMA cloud for trend confirmation — for example, bullish bias when price is above both GMAs * Build price action strategies around zone touches, breakouts, or rejections * Use color-coded candles as real-time alerts for potential entry/exit signals near S/R levels * Save time by avoiding manual marking of zones on charts across timeframes DISCLAIMER: This indicator is created for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading involves risk, and users should conduct their own analysis or consult with a qualified financial advisor before making any trading decisions. The creator is not responsible for any losses incurred through the use of this tool. Use at your own discretion.
Pine Script® indicator
by Shivam_Mandrai
9
[Kpt-Ahab] Poor Mans Orderflow SimulatorScript Description – Poor Mans Orderflow Simulator Purpose of the Script This script simulates a simplified order flow approach ("Poor Man's Orderflow") without access to actual Bid/Ask data. The goal is to detect, quantify, and visualize patterns such as absorption, impulsive moves, and structured re-entry behaviors. Calculation Logic Absorption Candles A candle is classified as "absorption" if: The ratio of body size to full candle range is below a defined threshold, Volume is significantly higher than the average of the last N periods, The candle direction is negative (for long absorption) or positive (for short absorption). These conditions define a candle with high activity but minimal price movement in the respective direction. Impulse Candles A candle is classified as "impulse" if: The body-to-range ratio is high (indicating a strong directional move), Volume exceeds the average significantly, The price closes in the direction of the candle body (bullish or bearish). Additionally, the average range of previous candles serves as a minimum benchmark for the impulse. Cluster Detection A cluster is detected when: A minimum number of absorption candles is counted within a defined lookback period, Either the long or short version of the absorption logic is used, The result is a binary condition: cluster active or inactive. Entry Signals (Re-entry) An entry signal is generated when: One or more absorption candles occurred in the last two bars, A pullback against the direction of absorption occurs, The current candle shows a directional move confirmed by a close in the expected direction. These re-entry signals are evaluated separately for long and short scenarios. Cluster-Confirmed Signals A separate signal is generated when a valid re-entry setup occurs while a cluster is active. This represents a combined logic condition. Alert Logic The script provides a multi-layer alert framework: Signal selection (Alertmode): The user defines which signal type should trigger an alert (e.g. re-entry only, cluster only, combination, or impulse). Optional filter (Filtermode): A secondary filter limits alerts to cases where an additional condition (e.g. absorption cluster) is active. Signal output: As a simple binary value (+1 / –1) for classic alerts, Or via an encoded Multibit signal, compatible with other modules in the djmad ecosystem. These alerts are intended for integration with external systems or for use within platform-native visual or automation features.
Pine Script® indicator
by Kpt-Ahab
Buying/Selling ProxyTiltFolio Buying/Selling Proxy This simple but effective indicator visualizes short-term buying or selling pressure using log returns over a rolling window. How It Works: Calculates the average of logarithmic returns over the past N bars (default: 20). Positive values suggest sustained buying pressure; negative values indicate selling pressure. Plotted as a color-coded histogram: ✅ Green = net buying ❌ Red = net selling Why Use It: This proxy helps traders gauge directional bias and momentum beneath the surface of price action — especially useful for confirming breakout strength, timing entries, or filtering signals. - Inspired by academic return normalization, but optimized for practical use. - Use alongside TiltFolio's Breakout Trend indicator for added context.
Pine Script® indicator
by TiltFolio
PLR-Z For Loop🧠 Overview PLR-Z For Loop is a trend-following indicator built on the Power Law Residual Z-score model of Bitcoin price behavior. By measuring how far price deviates from a long-term power law regression and applying a custom scoring loop, this tool identifies consistent directional pressure in market structure. Designed for BTC, this indicator helps traders align with macro trends. 🧩 Key Features Power Law Residual Model: Tracks deviations of BTC price from its long-term logarithmic growth curve. Z-Score Normalization: Applies long-horizon statistical normalization (400/1460 bars) to smooth residual deviations into a usable trend signal. Loop-Based Trend Filter: Iteratively scores how often the current Z-score exceeds prior values, emphasizing trend persistence over volatility. Optional Smoothing: Toggleable exponential smoothing helps filter noise in choppier market conditions. Directional Regime Coloring: Aqua (bullish) and Red (bearish) visuals reinforce trend alignment across plots and candles. 🔍 How It Works Power Law Curve: Price is compared against a logarithmic regression model fitted to historical BTC price evolution (starting July 2010), defining structural support, resistance, and centerline levels. Residual Z-Score: The residual is calculated as the log-difference between price and the power law center. This residual is then normalized using a rolling mean (400 days) and standard deviation (1460 days) to create a long-term Z-score. Loop Scoring Logic: A loop compares the current Z-score to a configurable number of past bars. Each higher comparison adds +1, and each lower one subtracts -1. The result is a trend persistence score (z_loop) that grows with consistent directional momentum. Smoothing Option: A user-defined EMA smooths the score, if enabled, to reduce short-term signal noise. Signal Logic: Long signal when trend score exceeds long_threshold. Short signal when score drops below short_threshold. Directional State (CD): Internally manages the current market regime (1 = long, -1 = short), controlling all visual output. 🔁 Use Cases & Applications Macro Trend Alignment: Ideal for traders and analysts tracking Bitcoin’s structural momentum over long timeframes. Trend Persistence Filter: Helps confirm whether the current move is part of a sustained trend or short-lived volatility. Best Suited for BTC: Built specifically on the BNC BLX price history and Bitcoin’s power law behavior. Not designed for use with other assets. ✅ Conclusion PLR-Z For Loop reframes Bitcoin’s long-term power law model into a trend-following tool by scoring the persistence of deviations above or below fair value. It shifts the focus from valuation-based mean reversion to directional momentum, making it a valuable signal for traders seeking high-conviction participation in BTC’s broader market cycles. ⚠️ Disclaimer The content provided by this indicator is for educational and informational purposes only. Nothing herein constitutes financial or investment advice. Trading and investing involve risk, including the potential loss of capital. Always backtest and apply risk management suited to your strategy.
Pine Script® indicator
by CipherDecoded
Supply/Demand Zones + Engulfment-based ExecutionSupply/Demand Zones + Engulfment-Based Execution Strategy Overview This strategy combines institutional trading concepts—supply/demand zones and engulfing candle patterns—to generate high-probability long and short trade setups. The system uses aggregated price action to identify potential reversal zones and confirms entries with engulfing candle patterns, ensuring trades are only taken when market structure shows commitment in the direction of the trade. Core Concepts • Supply & Demand Zones: These are automatically detected by analyzing aggregated bullish and bearish candle structures over user-defined intervals. Supply zones are formed after bearish continuation patterns; demand zones appear after bullish continuation patterns. • Engulfing Entries: Once price enters a zone, the strategy waits for a bullish engulfing pattern (in a demand zone) or a bearish engulfing pattern (in a supply zone) before executing a trade. This adds confirmation and reduces false signals. • Risk Management: Stop-loss is placed at the low (for long trades) or high (for short trades) of the engulfed candle. Take-profit can be calculated using a fixed R-multiple (risk-to-reward ratio) or a user-defined target price. Key Features Fully customizable aggregation factor for zone detection Visual zone boxes, entry/SL/TP boxes, and engulfing pattern labels Optional removal of mitigated zones for cleaner charting Configurable trade mode (Long only, Short only, or Both) Support for trading sessions and date filtering Alerts for price entering supply or demand zones How to Use Select Aggregation Factor: Choose how many candles to group together for identifying key zones (e.g., 4x timeframe). Enable Zones: Turn on supply and/or demand zones as needed. Set Execution Parameters: – Choose R-multiple (e.g., 2:1 risk-reward) – Or use a fixed take-profit price Define Trade Time Window: – Set the date and time ranges to restrict execution – Use Start Hour and End Hour to limit trades to specific sessions (e.g., London/New York) Run on Desired Timeframe: Typically used on 15m–4H charts, depending on your strategy and the asset’s volatility. Ideal For • Traders using Smart Money Concepts (SMC) • Those who value high-confluence entries • Intraday to swing traders looking for structure-based automation ⚠️ Important Notes • The strategy requires engulfing confirmation within the zone to enter a position. • This script does not repaint and executes trades on a bar close basis. • Backtest results may vary based on session filters and aggregation factor. © Attribution This strategy was developed by The_Forex_Steward and is licensed under the Mozilla Public License 2.0. You are free to use, modify, and distribute it under the terms of that license.
Pine Script® strategy
by The_Forex_Steward
Auto Fractal [theUltimator5]This indicator is what I call the Auto Fractal. It is a unique algorithm that looks back in time, finds a segment on the chart that closest matches the recent price action, then projects the price forwards. It effectively finds chart patterns and shows you what the price did the last time the same/similar chart pattern was observed. Creating an algorithm to match abstract curves to other abstract curves and provide a confidence score was the fundamental problem that needed to be solved in order to create this indicator, which curve matches with surprising accuracy. The most effective method to "curve match" that I found is the Pearson Coefficient, set by a segment length and a lookback period. After the highest coefficient curve is located, the curve then gets scaled and offset to match the current price. The past segment is drawn over the current price (orange line), giving a visualization of the two curves and how closely they match each other. The indicator then projects the price forwards in time based on the price action of the chart from the historical segment (dashed fuchsia line). A bounding box also gets drawn around the historical segment to give you a clear visual of where the price is getting pulled from for proper analysis and ease of use. The Pearson Coefficient % is shown in a table in the top right-hand corner of the chart and can be toggled off if desired. The values range from -100% (perfectly inverse correlation) to +100% (perfectly correlated) with 0 meaning no correlation whatsoever. The closer to +100% the value is, the better the segment match. As with most/all of my indicators, user interface and simplicity was at the top of my priority list. I designed this to be easily readable and intuitive to both novice and veteran traders, without cluttering the chart. Note: This indicator is extremely heavy in terms of memory usage due to nested for loops, and takes several seconds to initially load the chart overlay. If the lookback period is increased too high (>600) then the indicator may time out and fail to load anything. If nothing loads on the chart, try reducing the lookback length and wait up to 10 seconds for lines to appear.
Pine Script® indicator
by TheUltimator5
20
Demand Index (Hybrid Sibbet) by TradeQUODemand Index (Hybrid Sibbet) by TradeQUO \ \Overview\ The Demand Index (DI) was introduced by James Sibbet in the early 1990s to gauge “real” buying versus selling pressure by combining price‐change information with volume intensity. Unlike pure price‐based oscillators (e.g. RSI or MACD), the DI highlights moves backed by above‐average volume—helping traders distinguish genuine demand/supply from false breakouts or low‐liquidity noise. \Calculation\ \ \ \Step 1: Weighted Price (P)\ For each bar t, compute a weighted price: ``` Pₜ = Hₜ + Lₜ + 2·Cₜ ``` where Hₜ=High, Lₜ=Low, Cₜ=Close of bar t. Also compute Pₜ₋₁ for the prior bar. \ \Step 2: Raw Range (R)\ Calculate the two‐bar range: ``` Rₜ = max(Hₜ, Hₜ₋₁) – min(Lₜ, Lₜ₋₁) ``` This Rₜ is used indirectly in the exponential dampener below. \ \Step 3: Normalize Volume (VolNorm)\ Compute an EMA of volume over n₁ bars (e.g. n₁=13): ``` EMA_Volₜ = EMA(Volume, n₁)ₜ ``` Then ``` VolNormₜ = Volumeₜ / EMA_Volₜ ``` If EMA\_Volₜ ≈ 0, set VolNormₜ to a small default (e.g. 0.0001) to avoid division‐by‐zero. \ \Step 4: BuyPower vs. SellPower\ Calculate “raw” BuyPowerₜ and SellPowerₜ depending on whether Pₜ > Pₜ₋₁ (bullish) or Pₜ < Pₜ₋₁ (bearish). Use an exponential dampener factor Dₜ to moderate extreme moves when true range is small. Specifically: • If Pₜ > Pₜ₋₁, ``` BuyPowerₜ = (VolNormₜ) / exp ``` otherwise ``` BuyPowerₜ = VolNormₜ. ``` • If Pₜ < Pₜ₋₁, ``` SellPowerₜ = (VolNormₜ) / exp ``` otherwise ``` SellPowerₜ = VolNormₜ. ``` Here, H₀ and L₀ are the very first bar’s High/Low—used to calibrate the scale of the dampening. If the denominator of the exponential is near zero, substitute a small epsilon (e.g. 1e-10). \ \Step 5: Smooth Buy/Sell Power\ Apply a short EMA (n₂ bars, typically n₂=2) to each: ``` EMA_Buyₜ = EMA(BuyPower, n₂)ₜ EMA_Sellₜ = EMA(SellPower, n₂)ₜ ``` \ \Step 6: Raw Demand Index (DI\_raw)\ ``` DI_rawₜ = EMA_Buyₜ – EMA_Sellₜ ``` A positive DI\_raw indicates that buying force (normalized by volume) exceeds selling force; a negative value indicates the opposite. \ \Step 7: Optional EMA Smoothing on DI (DI)\ To reduce choppiness, compute an EMA over DI\_raw (n₃ bars, e.g. n₃ = 1–5): ``` DIₜ = EMA(DI_raw, n₃)ₜ. ``` If n₃ = 1, DI = DI\_raw (no further smoothing). \ \Interpretation\ \ \ \Crossing Zero Line\ • DI\_raw (or DI) crossing from below to above zero signals that cumulative buying pressure (over the chosen smoothing window) has overcome selling pressure—potential Long signal. • Crossing from above to below zero signals dominant selling pressure—potential Short signal. \ \DI\_raw vs. DI (EMA)\ • When DI\_raw > DI (the EMA of DI\_raw), bullish momentum is accelerating. • When DI\_raw < DI, bullish momentum is weakening (or bearish acceleration). \ \Divergences\ • If price makes new highs while DI fails to make higher highs (DI\_raw or DI declining), this hints at weakening buying power (“bearish divergence”), possibly preceding a reversal. • If price makes new lows while DI fails to make lower lows (“bullish divergence”), this may signal waning selling pressure and a potential bounce. \ \Volume Confirmation\ • A strong price move without a corresponding rise in DI often indicates low‐volume “fake” moves. • Conversely, a modest price move with a large DI spike suggests true institutional participation—often a more reliable breakout. \ \Usage Notes & Warnings\ \ \ \Never Use DI in Isolation\ It is a \filter\ and \confirmation\ tool—combine with price‐action (trendlines, support/resistance, candlestick patterns) and risk management (stop‐losses) before executing trades. \ \Parameter Selection\ • \Vol EMA length (n₁)\: Commonly 13–20 bars. Shorter → more responsive to volume spikes, but noisier. • \Buy/Sell EMA length (n₂)\: Typically 2 bars for fast smoothing. • \DI smoothing (n₃)\: Usually 1 (no smoothing) or 3–5 for moderate smoothing. Long DI\_EMA (e.g. 20–50) gives a slower signal. \ \Market Adaptation\ Works well in liquid futures, indices, and heavily traded stocks. In thinly traded or highly erratic markets, adjust n₁ upward (e.g., 20–30) to reduce noise. --- \In Summary\ The Demand Index (James Sibbet) uses a three‐stage smoothing (volume → Buy/Sell Power → DI) to reveal true demand/supply imbalance. By combining normalized volume with price change, Sibbet’s DI helps traders identify momentum backed by real participation—filtering out “empty” moves and spotting early divergences. Always confirm DI signals with price action and sound risk controls before trading.
Pine Script® indicator
by TradeQUO
3 Bar Reversal3 Bar Reversal This pattern is described in John Carter's "Mastering the Trade" The 3 Bar Reversal indicator is a simple but effective price action tool designed to highlight potential short-term reversals in market direction. It monitors consecutive bar behavior and identifies turning points based on a three-bar pattern. This tool can assist traders in spotting trend exhaustion or early signs of a reversal, particularly in scalping or short-term trading strategies. How It Works This indicator analyzes the relationship between consecutive bar closes: It counts how many bars have passed since the price closed higher than the previous close (barssince(close >= close )) — referred to as an "up streak". It also counts how many bars have passed since the price closed lower than the previous close (barssince(close <= close )) — known as a "down streak". A reversal condition is met when: There have been exactly 3 bars in a row moving in one direction (up or down), and The 4th bar closes in the opposite direction. When this condition is detected, the script performs two actions: Plots a triangle on the chart to signal the potential reversal: A green triangle below the bar for a possible long (buy) opportunity. A red triangle above the bar for a possible short (sell) opportunity. Triggers an alert condition so users can set notifications for when a reversal is detected. Interpretation Long Signal: The market has printed 3 consecutive lower closes, followed by a higher close — suggesting bullish momentum may be emerging. Short Signal: The market has printed 3 consecutive higher closes, followed by a lower close — indicating possible bearish momentum. These patterns are common in market retracements and can act as confirmation signals when used with other indicators such as RSI, MACD, support/resistance, or volume analysis. Usage Examples Scalping: Use the reversal signal to quickly enter short-term trades after a short-term exhaustion move. Swing Trading: Combine this with trend indicators (e.g., moving averages) to time pullbacks within larger trends. Confirmation Tool: Use this indicator alongside candlestick patterns or support/resistance zones to validate entry or exit points. Alert Setup: Enable alerts based on the built-in alertcondition to receive instant notifications for potential trade setups. Limitations The 3-bar reversal logic does not guarantee a trend change; it signals potential reversals, which may need confirmation. Best used in conjunction with broader context such as trend direction, market structure, or other technical indicators.
Pine Script® indicator
by abbadon9
1
Adaptive Volume‐Demand‐Index (AVDI)Demand Index (according to James Sibbet) – Short Description The Demand Index (DI) was developed by James Sibbet to measure real “buying” vs. “selling” strength (Demand vs. Supply) using price and volume data. It is not a standalone trading signal, but rather a filter and trend confirmer that should always be used together with chart structure and additional indicators. --- \ 1. Calculation Basis\ 1. Volume Normalization $$ \text{normVol}_t = \frac{\text{Volume}_t}{\mathrm{EMA}(\text{Volume},\,n_{\text{Vol}})_t} \quad(\text{e.g., }n_{\text{Vol}} = 13) $$ This smooths out extremely high volume spikes and compares them to the average (≈ 1 means “average volume”). 2. Price Factor $$ \text{priceFactor}_t = \frac{\text{Close}_t - \text{Open}_t}{\text{Open}_t}. $$ Positive values for bullish bars, negative for bearish bars. 3. Component per Bar $$ \text{component}_t = \text{normVol}_t \times \text{priceFactor}_t. $$ If volume is above average (> 1) and the price rises slightly, this yields a noticeably positive value; conversely if the price falls. 4. Raw DI (Rolling Sum) Over a window of \$w\$ bars (e.g., 20): $$ \text{RawDI}_t = \sum_{i=0}^{w-1} \text{component}_{\,t-i}. $$ Alternatively, recursively for \$t \ge w\$: $$ \text{RawDI}_t = \text{RawDI}_{t-1} + \text{component}_t - \text{component}_{\,t-w}. $$ 5. Optional EMA Smoothing An EMA over RawDI (e.g., \$n\_{\text{DI}} = 50\$) reduces short-term fluctuations and highlights medium-term trends: $$ \text{EMA\_DI}_t = \mathrm{EMA}(\text{RawDI},\,n_{\text{DI}})_t. $$ 6.Zero Line Handy guideline: RawDI > 0: Accumulated buying power dominates. RawDI < 0: Accumulated selling power dominates. 2. Interpretation & Application Crossing Zero RawDI above zero → Indication of increasing buying pressure (potential long signal). RawDI below zero → Indication of increasing selling pressure (potential short signal).  Not to be used alone for entry—always confirm with price action. RawDI vs. EMA_DI RawDI > EMA\_DI → Acceleration of demand. RawDI < EMA\_DI → Weakening of demand. Divergences Price makes a new high, RawDI does not make a higher high → potential weakness in the uptrend. Price makes a new low, RawDI does not make a lower low → potential exhaustion of the downtrend. 3. Typical Signals (for Beginners) \ 1. Long Setup\ RawDI crosses zero from below, RawDI > EMA\_DI (acceleration), Price closes above a short-term swing high or resistance. Stop-Loss: just below the last swing low, Take-Profit/Trailing: on reversal signals or fixed R\:R. 2. Short Setup RawDI crosses zero from above, RawDI < EMA\_DI (increased selling pressure), Price closes below a short-term swing low or support. Stop-Loss: just above the last swing high. --- 4. Notes and Parameters Recommended Values (Beginners): Volume EMA (n₍Vol₎) = 13 RawDI window (w) = 20 EMA over DI (n₍DI₎) = 50 (medium-term) or 1 (no smoothing) Attention:\ NEVER use in isolation. Always in combination with price action analysis (trendlines, support/resistance, candlestick patterns). Especially during volatile news phases, RawDI can fluctuate strongly → EMA\_DI helps to avoid false signals. --- Conclusion The Demand Index by James Sibbet is a powerful filter to assess price movements by their volume backing. It shows whether a rally is truly driven by demand or merely a short-term volume anomaly. In combination with classic chart analysis and risk management, it helps to identify robust entry points and potential trend reversals earlier.
Pine Script® indicator
by TradeQUO
Directional Strength IndexThis indicator is designed to detect the dominant market direction and quantify its strength by aggregating signals across six key timeframes: 1H, 4H, 1D, 3D, 1W, and 1M. At its core, it uses a SMEMA 'the Simple Moving Average of an EMA' as the main trend reference. This hybrid smoothing method was chosen for its balance: the EMA ensures responsiveness to recent price moves, while the SMA dampens short-term volatility. This makes the SMEMA more stable than a raw EMA and more reactive than a simple SMA, especially in noisy or volatile environments. For each timeframe, a score between -10 and +10 is calculated. This score reflects: - the distance of the price from the SMEMA, using ATR as a dynamic threshold - the number of price deviations above or below the SMEMA - the slope of the SMEMA, which adjusts the score based on momentum These six timeframe scores are then combined into a single Global Score, using weighted averages. Three weighting profiles are available depending on your trading horizon: - Long Term: emphasizes weekly and monthly data - Swing Trading: gives balanced importance to all timeframes - Short Term: prioritizes 1H and 4H action This multi-timeframe aggregation makes the indicator adaptable to different styles while maintaining a consistent logic. The result is displayed in a table on the chart, showing: - the trend direction per timeframe (up, down or neutral) - the strength score per timeframe - the overall trend direction and strength based on the selected profile Optional deviation bands based on ATR multiples are also plotted to provide visual context for overextensions relative to the SMEMA. This indicator is non-repainting and built for objective, trend-based decision making.
Pine Script® indicator
by Julien_Eche
7
Essa - Multi-Timeframe LevelsEnhanced Multi‐Timeframe Levels This indicator plots yearly, quarterly and monthly highs, lows and midpoints on your chart. Each level is drawn as a horizontal line with an optional label showing “ – ” (for example “Apr 2025 High – 1.2345”). If two or more timeframes share the same price (within two ticks), they are merged into a single line and the label lists each timeframe. A distance table can be shown in any corner of the chart. It lists up to five active levels closest to the current closing price and shows for each level: level name (e.g. “May 2025 Low”) exact price distance in pips or points (calculated according to the instrument’s tick size) percentage difference relative to the close Alerts can be enabled so that whenever price comes within a user-specified percentage of any level (for example 0.1 %), an alert fires. Once price decisively crosses a level, that level is marked as “broken” so it does not trigger again. Built-in alertcondition hooks are also provided for definite breaks of the current monthly, quarterly and yearly highs and lows. Monthly lookback is configurable (default 6 months), and once the number of levels exceeds a cap (calculated as 20 + monthlyLookback × 3), the oldest levels are automatically removed to avoid clutter. Line widths and colours (with adjustable opacity for quarterly and monthly) can be set separately for each timeframe. Touches of each level are counted internally to allow future extension (for example visually emphasising levels with multiple touches).
Pine Script® indicator
by Essa02
23/35 SR Channels (Hitchhikers Guide To Goldbach)This indicator highlights potential short-term support and resistance zones based on the 23rd and 35th minute of each hour. At each of these time points, it draws a zone from the high to the low of the candle, extending it forward for a fixed number of bars. Key features: 🔸 Orange zones mark the 23-minute candle 🔹 Blue zones mark the 35-minute candle 📏 Zones extend for a customizable number of bars (channelLength) 🔄 Existing zones are removed if they overlap significantly with a new one 🏷️ Optional labels show when a 23 or 35 zone is created This tool is ideal for traders looking to identify time-based micro-structures and intraday reaction zones.
Pine Script® indicator
by Hitchhikers_Guide_To_Trading
Support and Resistance MTFSupport and Resistance MTF Support and Resistance MTF is a powerful tool that automatically detects and visualizes key support and resistance levels based on pivot highs and lows, using a higher timeframe of your choice. It is designed for traders who focus on price action and market structure, and want an adaptive, clean, and customizable indicator that helps identify important market zones. The script uses configurable pivot logic to identify levels, with user-defined parameters for pivot strength and timeframe. Once a support or resistance level is detected, it is displayed on the chart either as a horizontal line, a shaded box, or both, depending on your display settings. You can fully customize the visual appearance including color, transparency, and line thickness. Levels are automatically extended into the future, and optionally into the past, to give better context. Each level is monitored for breakout behavior. If price breaks through a level, it can change its role — a former resistance may become support, and vice versa. After a certain number of breakouts (which you define), the level is considered invalid and is automatically removed from the chart. This helps to maintain a clean visual layout and ensures only relevant levels are shown. The indicator supports multi-timeframe analysis, allowing you to overlay higher-timeframe structure directly on your lower-timeframe trading chart. It is also compatible with Heikin Ashi candles internally for reference, without affecting your main chart type. Support and Resistance MTF is ideal for traders looking to align intraday setups with higher-timeframe zones, manage risk around structural levels, or simply highlight market turning points in a clear and automated way. Built with Pine Script v5 and optimized for performance, it is both powerful and lightweight. ⚙️ Input Parameters – Description [Time-Frame Defines the higher timeframe used for detecting support and resistance levels. For example, you can set this to 1h, 4h, or D to visualize significant levels from a broader market perspective on a lower-timeframe chart. Left / Right (Pivot Left / Pivot Right) These parameters control the sensitivity of the pivot detection. A pivot high/low is confirmed if it is higher/lower than the defined number of candles to its left and right. Higher values reduce noise but may miss smaller turning points. Extend Left When enabled, the drawn levels (lines and/or boxes) are extended to the left side of the chart, allowing you to see the historical alignment of these levels. Max Breaks Before Delete Defines how many times a level can be broken by price before it is removed from the chart. This helps to avoid clutter from outdated or invalidated levels and keeps your chart relevant to current price action. Draw Lines Only If enabled, the indicator will draw only horizontal lines for support and resistance zones, omitting the colored background boxes. Useful for a cleaner chart appearance. Line Width Broken Level Sets the thickness of the support/resistance lines. Thicker lines can emphasize key levels, especially after a breakout. Transparency Boxes Controls the transparency (0–100) of the background boxes representing the zones. A higher value makes the boxes more transparent, lower values make them more opaque. Transparency Lines Controls the transparency (0–100) of the horizontal support and resistance lines. This allows for visual fine-tuning based on chart background and personal preference. Support (Color, Group: Display) Lets you choose the color used for support zones and lines. By default, it's green, but you can change it to fit your theme or visual preference. Resistance (Color, Group: Display) Defines the color for resistance zones and lines. The default is red, but it can be customized freely.
Pine Script® indicator
by veegee82
1