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ค้นหาในสคริปต์สำหรับ "reversal"

PivotBoss Extreme Reversal SetupPATTERN SUMMARY 1. The first bar of the pattern is about two times larger than the average size of the candles in the lookback period. 2. The body of the first bar of the pattern should encompass more than 50 percent of the bar's total range, but usually not more than 85 percent. 3. The second bar of the pattern opposes the first. If the first bar of the pattern is bullish (C > 0), then the second bar must be bearish (C < 0). If the first bar is bearish (C < 0), then the second bar must be bullish (C > 0). PATTERN PSYCHOLOGY The extreme reversal setup is a clever pattern that capitalizes on the ongoing psychological patterns of investors, traders, and institutions. Basically, the setup looks for an extreme pattern of selling pressure and then looks to fade this behavior to capture a bullish move higher (reverse for shorts). In essence, this setup is visually pointing out oversold and overbought scenarios that forces responsive buyers and sellers to come out of the dark and put their money to work-price has been over-extended and must be pushed back toward a fair area of value so two-sided trade can take place. This setup works because many normal investors, or casual traders, head for the exits once their trade begins to move sharply against them. When this happens, price becomes extremely overbought or oversold, creating value for responsive buyers and sellers. Therefore, savvy professionals will see that price is above or below value and will seize the opportunity. When the scared money is selling, the smart money begins to buy, and Vice versa. Look at it this way, when the market sells off sharply in one giant candlestick, traders that were short during the drop begin to cover their profitable positions by buying. Likewise, the traders that were on the sidelines during the sell-off now see value in lower prices and begin to buy, thus doubling up on the buying pressure. This helps to spark a sharp v-bottom reversal that pushes price in the opposite direction back toward fair value.
อินดิเคเตอร์ Pine Script®
โดย ParCorn
4
HV Spike Strategy (HVP + OR Breakout + Reversal + TP/SL Modes)Here is a script that I tried to make it simple, although it has several parameters, I will try to explain, here we go: Logic: Open Range Breakout: otherwise knows as First Candle Rule, usually used for the first candle in the opening of a market session, in my strategy there is an option to use it even for Crypto that operate 24/7, how to do that? Simply by detecting Volatility from the HVP (Historical Volatility Percentile). Then the ORB logic kicks in and the first candle with high volatility gives the ranges for the trades. The proper HVP Activation Threshold has to be selected for each currency pair/index/crypto in order to have maximum profit. Enter a trade: when the price goes 100% above/below the First Candle Rule Range. That way it is filtering fake breakouts. Also if the price reverses back into the range the strategy takes the opposite trade. Exit a trade: SL/TP By percentage or ATR, selection in the input menu. My intention is to avoid using lagging indicators or guessing of Price Action, purely Bull/Bear indication by the first candle. I hope you find this helpful! Wishing all successful Trades!
กลยุทธ์ Pine Script®
โดย kostastrovas
Ultra Simple ReversalThis is a simple script that combines Key Features: ✅ No plotting - Only text labels and candle color changes ✅ Reversal candle detection - Changes candle color on high-probability signals ✅ BUY/SELL text labels - Clear directional signals ✅ Four-module confluence - SSL + Squeeze + MTF Pivots + ORB Breakout ✅ Non-repainting - Reliable signals using proper security calls ✅ Pine Script v6 compatible - All syntax errors fixed
อินดิเคเตอร์ Pine Script®
โดย nanccee0
Hilly's 0010110 Reversal Scalping Strategy - 5 Min CandlesKey Features and Rationale: Timeframe: Restricted to 5-minute candles as requested. Pattern Integration: Includes single (Hammer, Shooting Star, Doji), two (Engulfing, Harami), and three-plus (Morning Star, Evening Star) candlestick patterns, plus reversal patterns based on RSI extremes. VWAP Cross: Incorporates bullish (price crosses above VWAP) and bearish (price crosses below VWAP) signals, enhanced by trend context. Volume Analysis: Uses a volume spike threshold to filter noise, with a simple day-start volume comparison for financial environment context. Financial Environment: Approximates the day's sentiment using early-hour volume compared to current volume, adjusted by trend. Aggregation: Scores each condition (e.g., 1 for basic patterns, 2 for strong patterns like Engulfing, 3 for three-candle patterns) and decides based on weighted consensus, with trendStrength as a tunable threshold. Risky Approach: Minimal filtering and a low trendStrength (default 0.5) allow frequent signals, aligning with your $100-to-$200 goal, but expect higher risk. Suggested Inputs: EMA Length: 10 (short enough for 5-minute sensitivity). VWAP Lookback: 1 (uses current session VWAP). Volume Threshold Multiplier: 1.2 (moderate spike requirement). RSI Length: 14 (standard, adjustable to 7 for more sensitivity). Trend Strength Threshold: 0.5 (balance between signals; lower to 0.4 for more trades, raise to 0.6 for fewer).
กลยุทธ์ Pine Script®
โดย Hilly1976
POC Migration Velocity (POC-MV) [PhenLabs]📊POC Migration Velocity (POC-MV) Version: PineScript™v6 📌Description The POC Migration Velocity indicator revolutionizes market structure analysis by tracking the movement, speed, and acceleration of Point of Control (POC) levels in real-time. This tool combines sophisticated volume distribution estimation with velocity calculations to reveal hidden market dynamics that conventional indicators miss. POC-MV provides traders with unprecedented insight into volume-based price movement patterns, enabling the early identification of continuation and exhaustion signals before they become apparent to the broader market. By measuring how quickly and consistently the POC migrates across price levels, traders gain early warning signals for significant market shifts and can position themselves advantageously. The indicator employs advanced algorithms to estimate intra-bar volume distribution without requiring lower timeframe data, making it accessible across all chart timeframes while maintaining sophisticated analytical capabilities. 🚀Points of Innovation Micro-POC calculation using advanced OHLC-based volume distribution estimation Real-time velocity and acceleration tracking normalized by ATR for cross-market consistency Persistence scoring system that quantifies directional consistency over multiple periods Multi-signal detection combining continuation patterns, exhaustion signals, and gap alerts Dynamic color-coded visualization system with intensity-based feedback Comprehensive customization options for resolution, periods, and thresholds 🔧Core Components POC Calculation Engine: Estimates volume distribution within each bar using configurable price bands and sophisticated weighting algorithms Velocity Measurement System: Tracks the rate of POC movement over customizable lookback periods with ATR normalization Acceleration Calculator: Measures the rate of change of velocity to identify momentum shifts in POC migration Persistence Analyzer: Quantifies how consistently POC moves in the same direction using exponential weighting Signal Detection Framework: Combines trend analysis, velocity thresholds, and persistence requirements for signal generation Visual Rendering System: Provides dynamic color-coded lines and heat ribbons based on velocity and price-POC relationships 🔥Key Features Real-time POC calculation with 10-100 configurable price bands for optimal precision Velocity tracking with customizable lookback periods from 5 to 50 bars Acceleration measurement for detecting momentum changes in POC movement Persistence scoring to validate signal strength and filter false signals Dynamic visual feedback with blue/orange color scheme indicating bullish/bearish conditions Comprehensive alert system for continuation patterns, exhaustion signals, and POC gaps Adjustable information table displaying real-time metrics and current signals Heat ribbon visualization showing price-POC relationship intensity Multiple threshold settings for customizing signal sensitivity Export capability for use with separate panel indicators 🎨Visualization POC Connecting Lines: Color-coded lines showing POC levels with intensity based on velocity magnitude Heat Ribbon: Dynamic colored ribbon around price showing POC-price basis intensity Signal Markers: Clear exhaustion top/bottom signals with labeled shapes Information Table: Real-time display of POC value, velocity, acceleration, basis, persistence, and current signal status Color Gradients: Blue gradients for bullish conditions, orange gradients for bearish conditions 📖Usage Guidelines POC Calculation Settings POC Resolution (Price Bands): Default 20, Range 10-100. Controls the number of price bands used to estimate volume distribution within each bar Volume Weight Factor: Default 0.7, Range 0.1-1.0. Adjusts the influence of volume in POC calculation POC Smoothing: Default 3, Range 1-10. EMA smoothing period applied to the calculated POC to reduce noise Velocity Settings Velocity Lookback Period: Default 14, Range 5-50. Number of bars used to calculate POC velocity Acceleration Period: Default 7, Range 3-20. Period for calculating POC acceleration Velocity Significance Threshold: Default 0.5, Range 0.1-2.0. Minimum normalized velocity for continuation signals Persistence Settings Persistence Lookback: Default 5, Range 3-20. Number of bars examined for persistence score calculation Persistence Threshold: Default 0.7, Range 0.5-1.0. Minimum persistence score required for continuation signals Visual Settings Show POC Connecting Lines: Toggle display of colored lines connecting POC levels Show Heat Ribbon: Toggle display of colored ribbon showing POC-price relationship Ribbon Transparency: Default 70, Range 0-100. Controls transparency level of heat ribbon Alert Settings Enable Continuation Alerts: Toggle alerts for continuation pattern detection Enable Exhaustion Alerts: Toggle alerts for exhaustion pattern detection Enable POC Gap Alerts: Toggle alerts for significant POC gaps Gap Threshold: Default 2.0 ATR, Range 0.5-5.0. Minimum gap size to trigger alerts ✅Best Use Cases Identifying trend continuation opportunities when POC velocity aligns with price direction Spotting potential reversal points through exhaustion pattern detection Confirming breakout validity by monitoring POC gap behavior Adding volume-based context to traditional technical analysis Managing position sizing based on POC-price basis strength ⚠️Limitations POC calculations are estimations based on OHLC data, not true tick-by-tick volume distribution Effectiveness may vary in low-volume or highly volatile market conditions Requires complementary analysis tools for complete trading decisions Signal frequency may be lower in ranging markets compared to trending conditions Performance optimization needed for very short timeframes below 1-minute 💡What Makes This Unique Advanced Estimation Algorithm: Sophisticated method for calculating POC without requiring lower timeframe data Velocity-Based Analysis: Focus on POC movement dynamics rather than static levels Comprehensive Signal Framework: Integration of continuation, exhaustion, and gap detection in one indicator Dynamic Visual Feedback: Intensity-based color coding that adapts to market conditions Persistence Validation: Unique scoring system to filter signals based on directional consistency 🔬How It Works Volume Distribution Estimation: Divides each bar into configurable price bands for volume analysis Applies sophisticated weighting based on OHLC relationships and proximity to close Identifies the price level with maximum estimated volume as the POC Velocity and Acceleration Calculation: Measures POC rate of change over specified lookback periods Normalizes values using ATR for consistent cross-market performance Calculates acceleration as the rate of change of velocity Signal Generation Process: Combines trend direction analysis using EMA crossovers Applies velocity and persistence thresholds to filter signals Generates continuation, exhaustion, and gap alerts based on specific criteria 💡Note: This indicator provides estimated POC calculations based on available OHLC data and should be used in conjunction with other analysis methods. The velocity-based approach offers unique insights into market structure dynamics but requires proper risk management and complementary analysis for optimal trading decisions.
อินดิเคเตอร์ Pine Script®
โดย PhenLabs
BTC 5M Scalper: 3EMA Reversal v1.6 Lite by AIOBest Timeframe: 5 minutes!! Optimal Asset: BTC/USDT (Bitcoin) Stop Placement: Below the signal candle's low (for long) / Above the signal candle's high (for short) Risk/Reward: Minimum 1:2 ratio recommended Description: This 3EMA Reversal strategy identifies trend continuation signals using: Fast EMA (20) and Slow EMA (50) crossover Volume confirmation (above 20-period average) Engulfing candle pattern Built-in stop loss and take profit levels Usage Instructions: Apply to BTC/USDT 5-minute chart Enter long when green triangle appears (stop below signal candle) Enter short when red triangle appears (stop above signal candle) TP levels are automatically calculated based on your RR setting Pro Tip: Combine with 1-hour trend analysis for better results. The strategy works best in trending markets with above-average volume.
อินดิเคเตอร์ Pine Script®
โดย dorkhah
MR.Z Stoch RSI %K Reversal Signals🟢 K Strategy Description The K Strategy is a momentum-based trading technique using the %K line from the Stochastic Oscillator. It is designed to detect potential reversal points in price trends by identifying extreme conditions of overbought and oversold levels. ✅ Core Logic: The strategy monitors the %K line (a smoothed form of RSI momentum). A Buy Signal is triggered when: The %K line dips to or below a defined lower threshold (commonly 30 or less). This suggests the asset is oversold and may soon reverse upward. A Sell Signal is triggered when: The %K line peaks above an upper threshold (commonly 70 or more). This suggests the asset is overbought and may reverse downward. ⚙️ Adjustable Parameters: K Length: The sensitivity of the %K calculation (affects how fast it responds). Buy Level: Set your oversold trigger (e.g., 20–40). Sell Level: Set your overbought trigger (e.g., 60–100). Signal Smoothing (optional): Helps reduce noise and avoid false triggers. 📈 Use Case: This strategy is effective in ranging markets where prices frequently oscillate. It can also be used with other indicators (like EMA, volume filters, or price action confirmation) to increase accuracy in trending conditions.
อินดิเคเตอร์ Pine Script®
โดย grigory84
MR.Z Strategy Reversal Signal Nadaraya SMA)Nadaraya-Watson Envelope (NW Envelope): A smoothed, non-linear dynamic envelope that adapts to price structure. It visually identifies price extremes using kernel regression. The upper and lower bands move with the chart and provide reliable dynamic support and resistance. EMA Levels: Includes three key exponential moving averages: EMA 50 (short-term trend) EMA 100 (medium-term) EMA 200 (long-term, institutional level) Fully Scrollable and Responsive: All lines and envelopes are plotted using plot() so they move with the chart and respond to zoom and pan actions naturally. 🧠 Ideal Use: Identify reversal zones, dynamic support/resistance, and trend momentum exhaustion. Combine WTB and NW Envelope for confluence-based entries. Use EMA structure for trend confirmation or breakout anticipation. Let me know if you'd like to add: Divergence detection Buy/Sell signals Alerts or signal filtering options I’ll be happy to extend the description or the script accordingly!
อินดิเคเตอร์ Pine Script®
โดย grigory84
1
Quantum Reversal# 🧠 Quantum Reversal ## **Quantitative Mean Reversion Framework** This algorithmic trading system employs **statistical mean reversion theory** combined with **adaptive volatility modeling** to capitalize on Bitcoin's inherent price oscillations around its statistical mean. The strategy integrates multiple technical indicators through a **multi-layered signal processing architecture**. --- ## ⚡ **Core Technical Architecture** ### 📊 **Statistical Foundation** - **Bollinger Band Mean Reversion Model**: Utilizes 20-period moving average with 2.2 standard deviation bands for volatility-adjusted entry signals - **Adaptive Volatility Threshold**: Dynamic standard deviation multiplier accounts for Bitcoin's heteroscedastic volatility patterns - **Price Action Confluence**: Entry triggered when price breaches lower volatility band, indicating statistical oversold conditions ### 🔬 **Momentum Analysis Layer** - **RSI Oscillator Integration**: 14-period Relative Strength Index with modified oversold threshold at 45 - **Signal Smoothing Algorithm**: 5-period simple moving average applied to RSI reduces noise and false signals - **Momentum Divergence Detection**: Captures mean reversion opportunities when momentum indicators show oversold readings ### ⚙️ **Entry Logic Architecture** ``` Entry Condition = (Price ≤ Lower_BB) OR (Smoothed_RSI < 45) ``` - **Dual-Condition Framework**: Either statistical price deviation OR momentum oversold condition triggers entry - **Boolean Logic Gate**: OR-based entry system increases signal frequency while maintaining statistical validity - **Position Sizing**: Fixed 10% equity allocation per trade for consistent risk exposure ### 🎯 **Exit Strategy Optimization** - **Profit-Lock Mechanism**: Positions only closed when showing positive unrealized P&L - **Trend Continuation Logic**: Allows winning trades to run until momentum exhaustion - **Dynamic Exit Timing**: No fixed profit targets - exits based on profitability state rather than arbitrary levels --- ## 📈 **Statistical Properties** ### **Risk Management Framework** - **Long-Only Exposure**: Eliminates short-squeeze risk inherent in cryptocurrency markets - **Mean Reversion Bias**: Exploits Bitcoin's tendency to revert to statistical mean after extreme moves - **Position Management**: Single position limit prevents over-leveraging ### **Signal Processing Characteristics** - **Noise Reduction**: SMA smoothing on RSI eliminates high-frequency oscillations - **Volatility Adaptation**: Bollinger Bands automatically adjust to changing market volatility - **Multi-Timeframe Coherence**: Indicators operate on consistent timeframe for signal alignment --- ## 🔧 **Parameter Configuration** | Technical Parameter | Value | Statistical Significance | |-------------------|-------|-------------------------| | Bollinger Period | 20 | Standard statistical lookback for volatility calculation | | Std Dev Multiplier | 2.2 | Optimized for Bitcoin's volatility distribution (95.4% confidence interval) | | RSI Period | 14 | Traditional momentum oscillator period | | RSI Threshold | 45 | Modified oversold level accounting for Bitcoin's momentum characteristics | | Smoothing Period | 5 | Noise reduction filter for momentum signals | --- ## 📊 **Algorithmic Advantages** ✅ **Statistical Edge**: Exploits documented mean reversion tendency in Bitcoin markets ✅ **Volatility Adaptation**: Dynamic bands adjust to changing market conditions ✅ **Signal Confluence**: Multiple indicator confirmation reduces false positives ✅ **Momentum Integration**: RSI smoothing improves signal quality and timing ✅ **Risk-Controlled Exposure**: Systematic position sizing and long-only bias --- ## 🔬 **Mathematical Foundation** The strategy leverages **Bollinger Band theory** (developed by John Bollinger) which assumes that prices tend to revert to the mean after extreme deviations. The RSI component adds **momentum confirmation** to the statistical price deviation signal. **Statistical Basis:** - Mean reversion follows the principle that extreme price deviations from the moving average are temporary - The 2.2 standard deviation multiplier captures approximately 97.2% of price movements under normal distribution - RSI momentum smoothing reduces noise inherent in oscillator calculations --- ## ⚠️ **Risk Considerations** This algorithm is designed for traders with understanding of **quantitative finance principles** and **cryptocurrency market dynamics**. The strategy assumes mean-reverting behavior which may not persist during trending market phases. Proper risk management and position sizing are essential. --- ## 🎯 **Implementation Notes** - **Market Regime Awareness**: Most effective in ranging/consolidating markets - **Volatility Sensitivity**: Performance may vary during extreme volatility events - **Backtesting Recommended**: Historical performance analysis advised before live implementation - **Capital Allocation**: 10% per trade sizing assumes diversified portfolio approach --- **Engineered for quantitative traders seeking systematic mean reversion exposure in Bitcoin markets through statistically-grounded technical analysis.**
กลยุทธ์ Pine Script®
โดย ArganaBridgeCapital
7
BBS – Bond Breadth Signal"When bonds scream, breadth collapses, and fear spikes — BBS listens." 🧠 BBS – Bond Breadth Signal A reversal timing tool built on macro conviction, not price noise. The Bond Breadth Signal (BBS) was developed to identify major market inflection points by combining four key market stress indicators: 1) 10-Year Yield ROC – Measures sharp moves in the bond market 2) Z-Score of the 10Y – Captures statistical extremes 3) NSHF (Net Highs–Lows) – Signals internal market strength or weakness 4) TLT ROC + VIX – Confirmations of flight to safety and volatility-driven fear When all conditions align, BBS marks either a For-Sure Buy or For-Sure Sell — these are rare, high-confidence signals designed to cut through noise and focus on true market dislocations. 🔧 Features: -Background color and signal arrows on confirmation days -Signals remain visually active for 3 days for added clarity -Fully adjustable thresholds and alert toggles -Plot panel for yield, TLT, NSHF, VIX, and Z-score visuals This tool isn’t designed to fire every day. It’s meant to wait for those moments when the market truly bends — not just wiggles. Best used on major indices (SPY, QQQ, IWM) to assess macro turning points.
อินดิเคเตอร์ Pine Script®
โดย Scatman_Jeff
Market Structure Confluence [AlgoAlpha]OVERVIEW This script is called "Market Structure Confluence" and it combines classic market structure analysis with a dynamic volatility-based band system to detect shifts in trend and momentum more reliably. It tracks key swing points (higher highs, higher lows, lower highs, lower lows) to define the trend, then overlays a basis and ATR-smoothed volatility bands to catch rejection signals and highlight potential inflection points in the market. CONCEPTS Market structure is the foundation of price action trading, focusing on the relationship between successive highs and lows to understand trend conditions. Break of Structure (BOS) and Change of Character (CHoCH) events are important because they signal when a market might be shifting direction. This script enhances traditional structure by integrating volatility bands, which act like dynamic support/resistance zones based on ATR, allowing it to capture momentum surges and rejections beyond just structural shifts. FEATURES Swing Detection: It detects and labels Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL) based on user-defined time horizons, helping traders quickly spot the trend direction. BOS and CHoCH Lines: When a previous swing point is broken, the script automatically plots a Break of Structure (BOS) line. If the break represents a major trend reversal (a CHoCH), it is marked differently to separate simple breakouts from real trend changes. Rejection Signals: Special arrows plot when price pierces a band and then pulls back, suggesting a potential trap move or rejection signal in the direction of the new structure. Alerts: Built-in alerts for structure breaks, CHoCHs, swing points, rejections at bands, and trend flips make it easy to automate setups without manually watching the chart. USAGE Set your preferred swing detection size depending on your timeframe and trading style — smaller numbers for intraday, larger numbers for swing trading. Choose whether you want BOS/CHoCH confirmed by candle closes or by wick breaks. Use the volatility band settings to fine-tune how tightly or loosely the bands hug the price, adjusting sensitivity based on market conditions. When a BOS or CHoCH occurs, or when a rejection happens at the bands, the script will highlight it clearly and optionally trigger alerts. Watch for combinations where both structure breaks and volatility band rejections happen together — those are high-quality trade signals. This setup works best when used with basic trend filtering and higher timeframe confirmation.
อินดิเคเตอร์ Pine Script®
โดย AlgoAlpha
13
Sweep Reversal 5M PRO – by [TuNombre]🔹 **Sweep Reversal 5M PRO – by ** 🔹 This indicator is built to detect high-probability *Institutional Sweeps* using Swing Failure Patterns (SFP), fully filtered with Smart Money Concepts (SMC) logic and volume confirmation. ✅ Identifies key liquidity grabs ✅ Confirms with strong impulse candle + increasing volume ✅ Filters out false signals (doji, weak zones, low volume) ✅ Optimized for the 5-minute timeframe (5M) ✅ Compatible with push alerts to your mobile --- **How to use it:** 1. Wait for a “BUY” or “SELL” signal on the chart 2. Only enter if the next candle confirms with momentum 3. Place a tight stop just beyond the sweep 4. Recommended Take Profit: 1:1 minimum / 2:1 ideal --- 💡 Inspired by institutional trading (SMC, ICT-style setups) 🔒 Developed by – private or team-based use 📲 Activate alerts to get real-time trade opportunities on your phone --- ⚠️ This script does not repaint. Built for serious traders who want precision, not noise.
อินดิเคเตอร์ Pine Script®
โดย david_garcia01
2
DAMA OSC - Directional Adaptive MA OscillatorOverview: The DAMA OSC (Directional Adaptive MA Oscillator) is a highly customizable and versatile oscillator that analyzes the delta between two moving averages of your choice. It detects trend progression, regressions, rebound signals, MA cross and critical zone crossovers to provide highly contextual trading information. Designed for trend-following, reversal timing, and volatility filtering, DAMA OSC adapts to market conditions and highlights actionable signals in real-time. Features: Support for 11 custom moving average types (EMA, DEMA, TEMA, ALMA, KAMA, etc.) Customizable fast & slow MA periods and types Histogram based on percentage delta between fast and slow MA Trend direction coloring with “Green”, “Blue”, and “Red” zones Rebound detection using close or shadow logic Configurable thresholds: Overbought, Oversold, Underbought, Undersold Optional filters: rebound validation by candle color or flat-zone filter Full visual overlay: MA lines, crossover markers, rebound icons Complete alert system with 16 preconfigured conditions How It Works: Histogram Logic: The histogram measures the percentage difference between the fast and slow MA: hist_value = ((FastMA - SlowMA) / SlowMA) * 100 Trend State Logic (Green / Blue / Red): Green_Up = Bullish acceleration Blue_Up (or Red_Up, depending the display settings) = Bullish deceleration Blue_Down (or Green_Down, depending the display settings) = Bearish deceleration Red_Down = Bearish acceleration Rebound Logic: A rebound is detected when price: Crosses back over a selected MA (fast or slow) After being away for X candles (rebound_backstep) Optional: filtered by histogram zones or candle color Inputs: Display Options: Show/hide MA lines Show/hide MA crosses Show/hide price rebounds Enable/disable blue deceleration zones DAMA Settings: Fast/Slow MA type and length Source input (close by default) Overbought/Oversold levels Underbought/Undersold levels Rebound Settings: Use Close and/or Shadow Rebound MA (Fast/Slow) Candle color validation Flat zone filter rebounds (between UnderSold and UnderBought) Available MA type: SMA (Simple MA) EMA (Exponential MA) DEMA (Double EMA) TEMA (Triple EMA) WMA (Weighted MA) HMA (Hull MA) VWMA (Volume Weighted MA) Kijun (Ichimoku Baseline) ALMA (Arnaud Legoux MA) KAMA (Kaufman Adaptive MA) HULLMOD (Modified Hull MA, Same as HMA, tweaked for Pine v6 constraints) Notes: **DEMA/TEMA** reduce lag compared to EMA, useful for faster reaction in trending markets. **KAMA/ALMA** are better suited to noisy or volatile environments (e.g., BTC). **VWMA** reacts strongly to volume spikes. **HMA/HULLMOD** are great for visual clarity in fast moves. Alerts Included (Fully Configurable): Golden Cross: Fast MA crosses above Slow MA Death Cross: Fast MA crosses below Slow MA Bullish Rebound: Rebound from below MA in uptrend Bearish Rebound: Rebound from above MA in downtrend Bull Progression: Transition into Green_Up with positive delta Bear Progression: Transition into Red_Down with negative delta Bull Regression: Exit from Red_Down into Blue/Green with negative delta Bear Regression: Exit from Green_Up into Blue/Red with positive delta Crossover Overbought: Histogram crosses above Overbought Crossunder Overbought: Histogram crosses below Overbought Crossover Oversold: Histogram crosses above Oversold Crossunder Oversold: Histogram crosses below Oversold Crossover Underbought: Histogram crosses above Underbought Crossunder Underbought: Histogram crosses below Underbought Crossover Undersold: Histogram crosses above Undersold Crossunder Undersold: Histogram crosses below Undersold Credits: Created by Eff_Hash. This code is shared with the TradingView community and full free. do not hesitate to share your best settings and usage.
อินดิเคเตอร์ Pine Script®
โดย Eff_Hash
Abhi's Bollinger Band Reversal SignalThis Pine Script indicator is designed to detect reversal trade opportunities using Bollinger Band breakouts. It identifies both buy and sell setups with clearly defined entry, stop-loss (SL), and target (TP) conditions. It also manages trades visually with real-time signal plotting, and limits entries per trading day. ⚙️ How It Works 🔽 Sell Signal Conditions - The previous candle must close above the upper Bollinger Band, and its entire body must be above the band - The current candle must fail to break the previous high, and must break below the previous low - Entry is taken at the previous candle’s low, with SL at its high - Target is calculated based on a configurable Risk:Reward ratio 🔼 Buy Signal Conditions - The previous candle must close below the lower Bollinger Band, and its entire body must be below the band - The current candle must fail to break the previous low, and must break above the previous high - Entry is at the previous candle’s high, with SL at its low - Target is calculated using the same Risk:Reward ratio ⏰ Time-Based Exit - If a trade is still active by a user-defined exit time (e.g. 15:15), the trade is closed - Labels are plotted to show whether this exit was a profit or loss 🧩 User Inputs - Start Time for signals - Exit Time for open trades - Bollinger Band Settings: Period and Std Dev - Max Entries Per Day - Risk:Reward Ratio: Dropdown for 1:1, 1:1.5, ..., 1:3 🎨 Visual Features ✅ BUY and SELL signals are plotted when valid conditions are detected 🟢 TP and 🔴 SL labels show trade outcome 🕒 TIME EXIT labels appear at user-set exit time with green/red coloring based on profitability 📉 Bollinger Bands plotted for visual context 📌 Notes: - Designed for intraday trading, resets entry counter daily - Uses bar_index > tradeBarIndex to avoid SL/TP being triggered on the same candle as entry - Tracks only one trade at a time (tradeActive) — ensures clear, non-overlapping logic
อินดิเคเตอร์ Pine Script®
โดย abhirb1
[SHORT ONLY] 10 Bar Low Pullback█ STRATEGY DESCRIPTION The "10 Bar Low Pullback" strategy is a contrarian short trading system designed to capture pullbacks after a new 10‐bar low is made. it identifies a potential short opportunity when the current bar’s low breaks below the lowest low of the previous 10 bars, provided that the bar exhibits strong internal momentum as measured by its IBS value. An optional trend filter further refines entries by requiring that the close is below a 200-period EMA. █ WHAT IS INTERNAL BAR STRENGTH (IBS)? Internal Bar Strength (IBS) measures where the closing price falls within the high-low range of a bar. It is calculated as: ibs = (close - low) / (high - low) - Low IBS (≤ 0.2): Indicates the close is near the bar's low, suggesting oversold conditions. - High IBS (≥ 0.8): Indicates the close is near the bar's high, suggesting overbought conditions. █ SIGNAL GENERATION 1. SHORT ENTRY A Short Signal is triggered when: The current bar’s low is below the lowest low of the past X bars (default: 10). The bar’s IBS is greater than the specified threshold (default: 0.85). The signal occurs within the defined trading window (between Start Time and End Time). If the EMA Filter is enabled, the close must be below the 200-period EMA. 2. EXIT CONDITION An exit Signal is generated when the current close falls below the previous bar’s low (close < low ), indicating a potential bearish reversal and prompting the strategy to close its short position. █ ADDITIONAL SETTINGS Lookback Period: Defines the number of bars (default is 10) over which the lowest low is calculated. IBS Threshold: Sets the minimum required IBS value (default is 0.85) to qualify as a pullback. Trading Window: Trades are only executed between the user-defined Start Time and End Time. EMA Filter (Optional): When enabled, short entries are only considered if the current close is below the 200-period EMA, with the EMA period being adjustable (default is 200). █ PERFORMANCE OVERVIEW Designed for shorting opportunities, this strategy aims to capture pullbacks following an aggressive 10-bar low break. It leverages a combination of a lookback low and IBS measurement to identify overextended bullish moves that may revert. The optional EMA filter helps confirm a bearish market environment by ensuring the price remains under the trend line. Suitable for use on various assets, including stocks and ETFs, on daily or similar timeframes. Backtesting and parameter optimization are recommended to tailor the strategy to specific market conditions.
กลยุทธ์ Pine Script®
โดย Botnet101
[SHORT ONLY] ATR Sell the Rip Mean Reversion Strategy█ STRATEGY DESCRIPTION The "ATR Sell the Rip Mean Reversion Strategy" is a contrarian system that targets overextended price moves on stocks and ETFs. It calculates an ATR‐based trigger level to identify shorting opportunities. When the current close exceeds this smoothed ATR trigger, and if the close is below a 200-period EMA (if enabled), the strategy initiates a short entry, aiming to profit from an anticipated corrective pullback. █ HOW IS THE ATR SIGNAL BAND CALCULATED? This strategy computes an ATR-based signal trigger as follows: Calculate the ATR The strategy computes the Average True Range (ATR) using a configurable period provided by the user: atrValue = ta.atr(atrPeriod) Determine the Threshold Multiply the ATR by a predefined multiplier and add it to the current close: atrThreshold = close + atrValue * atrMultInput Smooth the Threshold Apply a Simple Moving Average over a specified period to smooth out the threshold, reducing noise: signalTrigger = ta.sma(atrThreshold, smoothPeriodInput) █ SIGNAL GENERATION 1. SHORT ENTRY A Short Signal is triggered when: The current close is above the smoothed ATR signal trigger. The trade occurs within the specified trading window (between Start Time and End Time). If the EMA filter is enabled, the close must also be below the 200-period EMA. 2. EXIT CONDITION An exit Signal is generated when the current close falls below the previous bar’s low (close < low ), indicating a potential bearish reversal and prompting the strategy to close its short position. █ ADDITIONAL SETTINGS ATR Period: The period used to calculate the ATR, allowing for adaptability to different volatility conditions (default is 20). ATR Multiplier: The multiplier applied to the ATR to determine the raw threshold (default is 1.0). Smoothing Period: The period over which the raw ATR threshold is smoothed using an SMA (default is 10). Start Time and End Time: Defines the time window during which trades are allowed. EMA Filter (Optional): When enabled, short entries are only executed if the current close is below the 200-period EMA, confirming a bearish trend. █ PERFORMANCE OVERVIEW This strategy is designed for use on the Daily timeframe, targeting stocks and ETFs by capitalizing on overextended price moves. It utilizes a dynamic, ATR-based trigger to identify when prices have potentially peaked, setting the stage for a mean reversion short entry. The optional EMA filter helps align trades with broader market trends, potentially reducing false signals. Backtesting is recommended to fine-tune the ATR multiplier, smoothing period, and EMA settings to match the volatility and behavior of specific markets.
กลยุทธ์ Pine Script®
โดย Botnet101
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