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ChronoPulse MS-MACD Resonance StrategyChronoPulse MS-MACD Resonance Strategy A systematic trading strategy that combines higher-timeframe market structure analysis with dual MACD momentum confirmation, ATR-based risk management, and real-time quality assurance monitoring. Core Principles The strategy operates on the principle of multi-timeframe confluence, requiring agreement between: Market structure breaks (CHOCH/BOS) on a higher timeframe Dual MACD momentum confirmation (classic and crypto-tuned profiles) Trend alignment via directional EMAs Volatility and volume filters Quality score composite threshold Strategy Components Market Structure Engine : Detects Break of Structure (BOS) and Change of Character (CHOCH) events using confirmed pivots on a configurable higher timeframe. Default structure timeframe is 240 minutes (4H). Dual MACD Fusion : Requires agreement between two MACD configurations: Classic MACD: 12/26/9 (default) Fusion MACD: 8/21/5 (default, optimized for crypto volatility) Both must agree on direction before trade execution. This can be disabled to use single MACD confirmation. Trend Alignment : Uses two EMAs for directional bias: Directional EMA: 55 periods (default) Execution Trend Guide: 34 periods (default) Both must align with trade direction. ATR Risk Management : All risk parameters are expressed in ATR multiples: Stop Loss: 1.5 × ATR (default) Take Profit: 3.0 × ATR (default) Trail Activation: 1.0 × ATR profit required (default) Trail Distance: 1.5 × ATR behind price (default) Volume Surge Filter : Optional gate requiring current volume to exceed a multiple of the volume SMA. Default threshold is 1.4× the 20-period volume SMA. Quality Score Gate : Composite score (0-1) combining: Structure alignment (0.0-1.0) Momentum strength (0.0-1.0) Trend alignment (0.0-1.0) ATR volatility score (0.0-1.0) Volume intensity (0.0-1.0) Default threshold: 0.62. Trades only execute when quality score exceeds this threshold. Execution Discipline : Trade budgeting system: Maximum trades per session: 6 (default) Cooldown bars between entries: 5 (default) Quality Assurance Console : Real-time monitoring panel displaying: Structure status (pass/fail) Momentum confirmation (pass/fail) Volatility readiness (pass/fail) Quality score (pass/fail) Discipline compliance (pass/fail) Performance metrics (win rate, profit factor) Net PnL Certification requires: Win Rate ≥ 40%, Profit Factor ≥ 1.4, Minimum 25 closed trades, and positive net profit. Integrity Suite : Optional validation panel that audits: Configuration sanity checks ATR data readiness EMA hierarchy validity Performance realism checks Strategy Settings strategy( title="ChronoPulse MS-MACD Resonance Strategy", shorttitle="ChronPulse", overlay=true, max_labels_count=500, max_lines_count=500, initial_capital=100000, currency=currency.USD, pyramiding=0, commission_type=strategy.commission.percent, commission_value=0.015, slippage=2, default_qty_type=strategy.percent_of_equity, default_qty_value=2.0, calc_on_order_fills=true, calc_on_every_tick=true, process_orders_on_close=true ) Key Input Parameters Structure Timeframe : 240 (4H) - Higher timeframe for structure analysis Structure Pivot Left/Right : 3/3 - Pivot confirmation periods Structure Break Buffer : 0.15% - Buffer for structure break confirmation MACD Fast/Slow/Signal : 12/26/9 - Classic MACD parameters Fusion MACD Fast/Slow/Signal : 8/21/5 - Crypto-tuned MACD parameters Directional EMA Length : 55 - Primary trend filter Execution Trend Guide : 34 - Secondary trend filter ATR Length : 14 - ATR calculation period ATR Stop Multiplier : 1.5 - Stop loss in ATR units ATR Target Multiplier : 3.0 - Take profit in ATR units Trail Activation : 1.0 ATR - Profit required before trailing Trail Distance : 1.5 ATR - Distance behind price Volume Threshold : 1.4× - Volume surge multiplier Quality Threshold : 0.62 - Minimum quality score (0-1) Max Trades Per Session : 6 - Daily trade limit Cooldown Bars : 5 - Bars between entries Win-Rate Target : 40% - Minimum for QA certification Profit Factor Target : 1.4 - Minimum for QA certification Minimum Trades for QA : 25 - Required closed trades Signal Generation Logic A trade signal is generated when ALL of the following conditions are met: Higher timeframe structure shows bullish (CHOCH/BOS) or bearish structure break Both MACD profiles agree on direction (if fusion enabled) Price is above both EMAs for longs (below for shorts) ATR data is ready and above minimum threshold Volume exceeds threshold × SMA (if volume gate enabled) Quality score ≥ quality threshold Trade budget available (under max trades per day) Cooldown period satisfied Risk Management Stop loss and take profit are set immediately on entry Trailing stop activates after 1.0 ATR of profit Trailing stop maintains 1.5 ATR distance behind highest profit point Position sizing uses 2% of equity per trade (default) No pyramiding (single position per direction) Limitations and Considerations The strategy requires sufficient historical data for higher timeframe structure analysis Quality gate may filter out many potential trades, reducing trade frequency Performance metrics are based on historical backtesting and do not guarantee future results Commission and slippage assumptions (0.015% + 2 ticks) may vary by broker The strategy is optimized for trending markets with clear structure breaks Choppy or ranging markets may produce false signals Crypto markets may require different parameter tuning than traditional assets Optimization Notes The strategy includes several parameters that can be tuned for different market conditions: Quality Threshold : Lower values (0.50-0.60) allow more trades but may reduce average quality. Higher values (0.70+) are more selective but may miss opportunities. Structure Timeframe : Use 240 (4H) for intraday trading, Daily for swing trading, Weekly for position trading Volume Gate : Disable for low-liquidity pairs or when volume data is unreliable Dual MACD Fusion : Disable for mean-reverting markets where single MACD may be more responsive Trade Discipline : Adjust max trades and cooldown based on your risk tolerance and market volatility Non-Repainting Guarantee All higher timeframe data requests use lookahead=barmerge.lookahead_off to prevent repainting. Pivot detection waits for full confirmation before registering structure breaks. All visual elements (tables, labels) update only on closed bars. Alerts Three alert conditions are available: ChronoPulse Long Setup : Fires when all long entry conditions are met ChronoPulse Short Setup : Fires when all short entry conditions are met ChronoPulse QA Certification : Fires when Quality Assurance console reaches CERTIFIED status Configure alerts with "Once Per Bar Close" delivery to match the non-repainting design. Visual Elements Structure Labels : CHOCH↑, CHOCH↓, BOS↑, BOS↓ markers on structure breaks Directional EMA : Orange line showing trend bias Trailing Stop Lines : Green (long) and red (short) trailing stop levels Dashboard Panel : Real-time status display (structure, MACD, ATR, quality, PnL) QA Console : Quality assurance monitoring panel Integrity Suite Panel : Optional validation status display Recommended Usage Forward test with paper trading before live deployment Monitor the QA console until it reaches CERTIFIED status Adjust parameters based on your specific market and timeframe Respect the trade discipline limits to avoid over-trading Review quality scores and adjust threshold if needed Use appropriate commission and slippage settings for your broker Technical Implementation The strategy uses Pine Script v6 with the following key features: Multi-timeframe data requests with lookahead protection Confirmed pivot detection for structure analysis Dynamic trailing stop management Real-time quality score calculation Trade budgeting and cooldown enforcement Comprehensive dashboard and monitoring panels All source code is open and available for review and modification. Disclaimer This script is for educational and informational purposes only. It is not intended as financial, investment, or trading advice. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for all investors. Always conduct your own research and consult with a qualified financial advisor before making any trading decisions. The author and TradingView are not responsible for any losses incurred from using this strategy.
Pine Script™ 전략
officialjackofalltrades의
AI ALGO [Ganesh]Core Strategy Components\ 1. EMA (Exponential Moving Average) SystemThe strategy uses three EMAs to identify trend direction: EMA 48 (longer-term trend) EMA 2 (short-term momentum) EMA 21 (medium-term trend) How it works: Bullish trend: When price is above EMA 21 (green cloud) Bearish trend: When price is below EMA 21 (red cloud) EMA Cloud: The area between EMA 2 and EMA 48/21 provides visual trend confirmation Optional higher timeframe (HTF) analysis for multi-timeframe confirmation 2. DEMA ATR (Double EMA + Average True Range) This is a dynamic support/resistance indicator that adapts to volatility:Components: DEMA (Double Exponential Moving Average): Smooths price action with less lag ATR Bands: Creates upper and lower bands based on volatility (ATR × 1.7 factor) Signal Generation: Green line: Uptrend (DEMA ATR rising) Red line: Downtrend (DEMA ATR falling) Acts as a trailing stop-loss level that adjusts with market volatility 3. Smart Trail System (Fibonacci-Based) An advanced trailing stop system using modified true range calculations:Key Features: Calculates true range using Wilder's smoothing method Creates Fibonacci retracement levels (61.8%, 78.6%, 88.6%) from the trail line Adaptive stop-loss: Adjusts based on ATR factor (4.2) and smoothing (4) Trend Detection: Bullish: Price > Trailing line (blue zones) Bearish: Price < Trailing line (red zones) The Fibonacci zones show potential support/resistance areas 4. ZigZag Indicator Identifies significant swing highs and lows: Length parameter: 13 (sensitivity control) Labels: Higher Highs (HH), Lower Lows (LL), etc. Helps identify trend reversals and key pivot points 5. Support & Resistance Levels Strength-based S/R: Identifies horizontal support/resistance zones Zone width: Adjustable percentage-based zones High/Low zones: Marks significant price levels Trading LogicEntry Conditions (Implied)The strategy likely enters trades when:Long Entry: Price crosses above DEMA ATR (green) Price is above EMA 21 (bullish EMA cloud) Smart Trail confirms uptrend Price bounces from Fibonacci support levels Short Entry: Price crosses below DEMA ATR (red) Price is below EMA 21 (bearish EMA cloud) Smart Trail confirms downtrend Price rejects from Fibonacci resistance levels Exit/Stop-Loss Strategy Trailing stops: Using Smart Trail Fibonacci levels Dynamic stops: DEMA ATR line acts as a moving stop-loss Risk management: Position sizing at 50% of equity per trade Dashboard Features1. Weekly Performance Table Tracks trades per day of the week Shows win/loss statistics Calculates win rate percentage 2. Monthly Performance Table Monthly P&L breakdown Yearly performance summary Color-coded returns (green = profit, red = loss) Strategy Parameters Initial Capital: $5,000 Commission: 0.02% per trade Position Size: 50% of equity Pyramiding: Disabled (no adding to positions) Calculation: On bar close (not tick-by-tick) Visual Elements EMA clouds: Green (bullish) / Red (bearish) DEMA ATR line: Dynamic support/resistance Smart Trail zones: Fibonacci-based colored bands ZigZag lines: Swing high/low connections S/R zones: Horizontal support/resistance areas Strategy Philosophy This is a trend-following strategy with dynamic risk management that: Uses multiple timeframes for confirmation Adapts to volatility through ATR-based indicators Provides clear visual cues for trend direction Includes comprehensive performance tracking Combines momentum (EMAs) with volatility (ATR) for robust signals The strategy works best in trending markets and uses the Fibonacci trail system to maximize profits while protecting against reversals with adaptive stop-losses.
Pine Script™ 전략
balagan93의
3
Sniper PRO: The "Buffett Mode" VFI System"The stock market is a device for transferring money from the impatient to the patient." — Warren Buffett Most traders lose money because they try to catch every small move. Sniper PRO is designed for the opposite: It identifies the massive, multi-week and multi-month trends driven by Institutional "Smart Money", and keeps you in the trade until the real move is over. This is not a scalping tool. This is a Wealth Compounding Engine. 🚀 Why is this the "Secret Weapon"? We combined the most searched and respected indicators into a single, high-probability algorithm: VFI (Smart Money Flow): Tracks what the "Whales" are doing, not the retail traders. Fibonacci Golden Ratio: Uses math to secure profits, not guesswork. Trend Protocol: Filters out 90% of market noise. 🔥 The "Diamond Hands" Logic (VFI Shield) The biggest problem in long-term trading is getting shaken out by a temporary dip. Sniper PRO solves this with the VFI Shield: Even if price drops below your Stop Loss, the algorithm checks the Institutional Volume. If Big Money is still holding? The Shield holds. You stay in the trade. This feature alone allows you to ride trends for Weeks and Months (like NVDA, TSLA, BTC runs) without exiting prematurely. ⚙️ How It Works 1. The "Buffett" Entry We only enter when the odds are stacked in our favor: Trend: Price must be above the EMA 50 (Bull Market). Volume: VFI must be Positive (Accumulation Phase). Volatility: The market must be active, not chopping sideways. 2. The Compounding Exit (Fibonacci Ladder) Instead of selling too early, the system builds a Fibonacci Ladder behind the price. As the asset grows, your Stop Loss climbs automatically to the next Fibonacci level (0.382 -> 0.5 -> 0.618). This locks in profits step-by-step while giving the asset room to breathe and grow. 3. Asymmetric Safety Shorting is risky in a long-term bull market. The system automatically reduces the size of Short trades to protect your capital, while maximizing exposure to Long rallies. 📊 Visual Guide 🔵 Blue Line: The Trend Baseline. 🔴 Red Steps: Your "Locked" Profit Level (Trailing Stop). 🟣 Purple 'X': Where the trade finally closed (Transparency). Background Color: Green: Bull Market (Safe to hold). Orange: Choppy/Dangerous (Cash is King). Best For: Swing Traders & Investors (1D, 4H Timeframes). People who want to catch the Big Moves and ignore the noise. Disclaimer: This tool is designed for trend following. Past performance is not indicative of future results. Always manage your risk.
Pine Script™ 전략
GiladKatz의
4
Crypto Intraday Strategy by SAIFOverview A comprehensive intraday trading strategy designed for cryptocurrency markets, combining multiple technical indicators and risk management principles to identify high-probability trading opportunities. Key Features Multi-Timeframe Analysis Utilizes exponential moving averages for trend identification Incorporates swing structure analysis for support and resistance levels Applies momentum and trend strength filters Risk Management Configurable risk-reward ratios (default 1.6:1) Maximum risk per trade capped at 3.1% of equity Dynamic stop-loss placement based on market structure Position sizing at 2% of equity per trade Advanced Filters Trend strength confirmation using ADX indicator Momentum validation through multiple oscillators Market correlation analysis for additional confluence Optional weekend trading filter to avoid low-liquidity periods Swing Structure Recognition Automatically identifies key swing highs and lows Uses pivot points to determine optimal entry zones Prevents entries too far from established support/resistance Trade Execution The strategy employs a one-way trading approach, entering positions only when multiple technical conditions align. Each trade includes pre-defined stop-loss and take-profit levels calculated at entry. Customization Options Adjustable swing detection sensitivity Configurable EMA distance thresholds Optional correlation filters Weekend trading toggle Risk parameters can be modified to suit individual preferences Important Disclaimers ⚠️ Educational Purpose Only: This strategy is provided for educational and informational purposes. Past performance does not guarantee future results. ⚠️ Risk Warning: Trading cryptocurrencies carries substantial risk of loss. Only trade with capital you can afford to lose. ⚠️ Not Financial Advice: This tool does not constitute financial, investment, or trading advice. Always conduct your own research and consult with qualified financial professionals. ⚠️ Backtesting Limitations: Historical backtesting results may not reflect actual trading conditions due to slippage, execution delays, and changing market dynamics. Fees & Slippage Commission: 0.12% per trade Slippage: 2 ticks accounted for in backtesting Recommended Usage Thoroughly backtest on your preferred trading pairs Start with small position sizes when live trading Monitor performance across different market conditions Adjust parameters based on asset volatility and your risk tolerance
Pine Script™ 전략
Saif_67의
1
OLPF - Octavio Low-Pass Filter StrategyOCTAVIO LOW-PASS FILTER (OLPF) v1.0 --- DESCRIPTION The Octavio Low-Pass Filter (OLPF) is an advanced Finite Impulse Response (FIR) low-pass filter designed for financial time series analysis. It builds upon the foundational work of the New Low-Pass Filter (NLF) by Alex Pierrefeu, introducing three key enhancements that significantly improve signal quality and reduce common filtering artifacts. --- KEY INNOVATIONS 1. HERMITE SMOOTHING POLYNOMIAL Replaces the simple quadratic base (x²) with the cubic Hermite interpolation polynomial . This mathematical refinement provides C¹ continuity at kernel boundaries, ensuring smoother transitions and eliminating edge discontinuities that can introduce artificial noise into the filtered signal. 2. LANCZOS SIGMA FACTOR WINDOWING Applies a Lanczos-type attenuation factor to each harmonic component in the sine series. This windowing technique dramatically reduces the Gibbs phenomenon - the characteristic overshooting and ringing that occurs near sharp price transitions. The result is a cleaner signal with minimized false crossover signals. 3. ADAPTIVE WEIGHT NORMALIZATION Implements dynamic normalization of kernel weights, guaranteeing that the sum of all filter coefficients equals unity. This ensures proper amplitude preservation across all market conditions and prevents signal drift or scaling artifacts. --- MATHEMATICAL FOUNDATION The OLPF kernel function is defined as: K(x, N) = x²(3-2x) + Σ (1/i) × σ(i) × sin(πxi) Where: - x ∈ is the normalized position within the filter window - N is the filter order (degree of the sine series) - σ(i) = sin(πi/(N+1)) / (πi/(N+1)) is the Lanczos sigma factor The filter output is computed via discrete convolution: F(M, N) = Σ src × / W Where W is the sum of all weights for normalization. --- APPLICATIONS - Trend identification with reduced lag compared to traditional MAs - Noise reduction in volatile market conditions - Generation of trading signals via fast/slow filter crossovers - Foundation for more complex indicator development --- STRATEGY IMPLEMENTATION This script implements a dual-filter crossover strategy with: - Fast OLPF for responsive signal generation - Slow OLPF for trend confirmation - EMA filter for additional trend validation - ATR-based dynamic stop-loss positioning - Risk-based position sizing (percentage of equity) --- AUTHOR Name: Hector Octavio Piccone Pacheco Filter: Octavio Low-Pass Filter (OLPF) Version: 1.0 Based on: New Low-Pass Filter (NLF) by Alex Pierrefeu Date: 2025 Original Contributions: - Hermite smoothing polynomial kernel base - Lanczos sigma factor windowing for Gibbs reduction - Adaptive weight normalization system - Integrated risk management framework --- LICENSE This work is licensed under the Mozilla Public License 2.0. You are free to use, modify, and distribute this code with attribution. --- DISCLAIMER Trading involves substantial risk of loss. This indicator is provided for educational and research purposes only. Past performance does not guarantee future results. Always conduct your own analysis and risk assessment.
Pine Script™ 전략
octa_piccone의
Quantellics: NQ Reverse From EMA [Strategy]//@version=5 // © 2025 Quantellics. All rights reserved. strategy("Quantellics: NQ Reverse From EMA ", overlay = true, default_qty_type = strategy.percent_of_equity, default_qty_value = 100, pyramiding = 0) // Inputs emaLen = input.int(60, "EMA Length", minval = 1) rsiLen = input.int(14, "RSI Length", minval = 1) lb = input.int(10, "Lookback Candles", minval = 1) entryOff = input.float(75.0, "Entry Offset ($)", minval = 0, step = 1) slDollar = input.float(50.0, "Stop Loss ($)", minval = 0, step = 1) tpDollar = input.float(50.0, "Take Profit ($)", minval = 0, step = 1) trailAct = input.float(30.0, "Trail Activation ($)", minval = 0, step = 1) trailOff = input.float(30.0, "Trail Offset ($)", minval = 0, step = 1) trailDelay = input.int(2, "Trail Delay (Candles)", minval = 0, step = 1) ssH = input.int(9, "Session Start Hour (ET)", minval = 0, maxval = 23) ssM = input.int(30, "Session Start Minute (ET)", minval = 0, maxval = 59) seH = input.int(12, "Session End Hour (ET)", minval = 0, maxval = 23) seM = input.int(0, "Session End Minute (ET)", minval = 0, maxval = 59) // Session calc int h = hour(time, "America/New_York") int m = minute(time, "America/New_York") sStart = ssH * 60 + ssM sEnd = seH * 60 + seM nowMin = h * 60 + m inSess = nowMin >= sStart and nowMin < sEnd eos = nowMin >= sEnd // Indicators ema60 = ta.ema(close, emaLen) rsi = ta.rsi(close, rsiLen) hiN = ta.highest(high, lb) loN = ta.lowest(low, lb) // Levels longLvl = hiN - entryOff shortLvl = loN + entryOff // Conditions longOk = high > ema60 and rsi > 50 and strategy.position_size == 0 and inSess and not eos shortOk = low < ema60 and rsi < 50 and strategy.position_size == 0 and inSess and not eos // State var float ePrice = na var float slLvl = na var float tpLvl = na var int bars = 0 if strategy.position_size != 0 bars += 1 else bars := 0 // Orders if longOk strategy.entry("Long", strategy.long, limit = longLvl) else strategy.cancel("Long") if shortOk strategy.entry("Short", strategy.short, limit = shortLvl) else strategy.cancel("Short") if strategy.position_size > 0 if bars > trailDelay strategy.exit("Long Exit", "Long", stop = strategy.position_avg_price - slDollar, limit = strategy.position_avg_price + tpDollar, trail_points = trailAct, trail_offset = trailOff) else strategy.exit("Long Exit", "Long", stop = strategy.position_avg_price - slDollar, limit = strategy.position_avg_price + tpDollar) if strategy.position_size < 0 if bars > trailDelay strategy.exit("Short Exit", "Short", stop = strategy.position_avg_price + slDollar, limit = strategy.position_avg_price - tpDollar, trail_points = trailAct, trail_offset = trailOff) else strategy.exit("Short Exit", "Short", stop = strategy.position_avg_price + slDollar, limit = strategy.position_avg_price - tpDollar) // EOS flat if eos and strategy.position_size != 0 strategy.close_all(comment = "EOS Exit") if eos strategy.cancel_all() // Tracking if strategy.position_size > 0 and strategy.position_size <= 0 ePrice := strategy.position_avg_price slLvl := ePrice - slDollar tpLvl := ePrice + tpDollar if strategy.position_size < 0 and strategy.position_size >= 0 ePrice := strategy.position_avg_price slLvl := ePrice + slDollar tpLvl := ePrice - tpDollar // Plots plot(ema60, color = color.blue, title = "EMA 60", linewidth = 2) plot(hiN, color = color.new(color.green, 50), title = "Lookback High", linewidth = 1, style = plot.style_stepline) plot(loN, color = color.new(color.red, 50), title = "Lookback Low", linewidth = 1, style = plot.style_stepline) plot(longLvl, color = color.new(color.orange, 30), title = "Long Entry", linewidth = 2) plot(shortLvl, color = color.new(color.purple, 30), title = "Short Entry", linewidth = 2)
Pine Script™ 전략
mchernyshov의
Hyper Insight MA Strategy [Universal]Hyper Insight MA Strategy ** is a comprehensive trend-following engine designed for traders who require precision and flexibility. Unlike standard indicators that lock you into a single calculation method, this strategy serves as a "Universal Adapter," allowing you to **Mix & Match 13 different Moving Average types** for both the Fast and Slow trend lines independently. Whether you need the smoothness of T3, the responsiveness of HMA, or the classic reliability of SMA, this script enables you to backtest thousands of combinations to find the perfect edge for your specific asset class. --- 🔬 Deep Dive: Calculation Logic of Included MAs This strategy includes 13 distinct calculation methods. Understanding the math behind them will help you choose the right tool for your specific market conditions. #### 1. Standard Averages * **SMA (Simple Moving Average):** The unweighted mean of the previous $n$ data points. * *Logic:* Treats every price point in the period with equal importance. Good for identifying long-term macro trends but reacts slowly to recent volatility. * **WMA (Weighted Moving Average):** A linear weighted average. * *Logic:* Assigns heavier weight to current data linearly (e.g., $1, 2, 3... n$). It reacts faster than SMA but is still relatively smooth. * **SWMA (Symmetrically Weighted Moving Average):** * *Logic:* Uses a fixed-length window (usually 4 bars) with symmetrical weights $ $. It prioritizes the center of the recent data window. #### 2. Exponential & Lag-Reducing Averages * **EMA (Exponential Moving Average):** * *Logic:* Applies an exponential decay weighting factor. Recent prices have significantly more impact on the average than older prices, reducing lag compared to SMA. * **RMA (Running Moving Average):** Also known as Wilder's Smoothing (used in RSI). * *Logic:* It is essentially an EMA but with a slower alpha weight of $1/length$. It provides a very smooth, stable line that filters out noise effectively. * **DEMA (Double Exponential Moving Average):** * *Logic:* Calculated as $2 \times EMA - EMA(EMA)$. By subtracting the "lag" (the smoothed EMA) from the original EMA, DEMA provides a much faster reaction to price changes with less noise than a standard EMA. * **TEMA (Triple Exponential Moving Average):** * *Logic:* Calculated as $3 \times EMA - 3 \times EMA(EMA) + EMA(EMA(EMA))$. This effectively eliminates the lag inherent in single and double EMAs, making it an extremely fast-tracking indicator for scalping. #### 3. Advanced & Adaptive Averages * **HMA (Hull Moving Average):** * *Logic:* A composite formula involving Weighted Moving Averages: ASX:WMA (2 \times Integer(n/2)) - WMA(n)$. The result is then smoothed by a $\sqrt{n}$ WMA. * *Effect:* It eliminates lag almost entirely while managing to improve curve smoothness, solving the traditional trade-off between speed and noise. * **ZLEMA (Zero Lag Exponential Moving Average):** * *Logic:* This calculation attempts to remove lag by modifying the data source before smoothing. It calculates a "lag" value $(length-1)/2$ and applies an EMA to the data: $Source + (Source - Source )$. This creates a projection effect that tracks price tightly. * **T3 (Tillson T3 Moving Average):** * *Logic:* A complex smoothing technique that runs an EMA through a filter multiple times using a "Volume Factor" (set to 0.7 in this script). * *Effect:* It produces a curve that is incredibly smooth and free of "overshoot," making it excellent for filtering out market chop. * **ALMA (Arnaud Legoux Moving Average):** * *Logic:* Uses a Gaussian distribution (bell curve) to assign weights. It allows the user to offset the moving average (moving the peak of the weight) to align it perfectly with the price, balancing smoothness and responsiveness. * **LSMA (Least Squares Moving Average):** * *Logic:* Calculates the endpoint of a Linear Regression line for the lookback period. It essentially guesses where the price "should" be based on the best-fit line of the recent trend. * **VWMA (Volume Weighted Moving Average):** * *Logic:* Weights the closing price by the volume of that bar. * *Effect:* Prices on high volume days pull the MA harder than prices on low volume days. This is excellent for validating true trend strength (i.e., a breakout on high volume will move the VWMA significantly). --- ### 🛠 Features & Settings * **Universal Switching:** Change the `Fast MA` and `Slow MA` types instantly via the settings menu. * **Trend Cloud:** A dynamic background fill (Green/Red) highlights the crossover zone for immediate visual trend identification. * **Strategy Mode:** Built-in Backtesting logic triggers `LONG` entries when Fast MA crosses over Slow MA, and `EXIT` when Fast MA crosses under. ### ⚠️ Disclaimer This script is intended for educational and research purposes. The wide variety of MA combinations can produce vastly different results. Past performance is not indicative of future results. Please use proper risk management.
Pine Script™ 전략
waranyutrkm의
51 - By GoldmanMrBaNNathis script is a multi-timeframe alignment tool designed to help users visually compare the trend direction of a higher timeframe with the movement on a lower timeframe. The indicator simply displays when both selected timeframes are moving in the same direction based on a customizable trend-detection method (such as moving average alignment). Its purpose is to provide clarity, structure, and directional alignment for chart analysis. Users can select: A higher timeframe A lower timeframe Trend calculation method Visual display options The tool is made to support analysis only. It does not execute trades, generate financial advice, or guarantee outcomes. Always use additional independent research when making decisions.
Pine Script™ 전략
Mrbanna51의
Trend Signal MomentumOVERVIEW Signal Trend Momentum is a hybrid strategy that combines multiple confirmations and filters to obtain better potential trading signals. Each confirmation and filter in Signal Trend Momentum aims to avoid possible false and trap signals. HYBRID CONCEPTS Smart Money Concept – This indicator forms market structure and Bullish & Bearish Order Block areas to make it easier to identify market trends and strong areas where price reversals often occur. Its purpose is to simplify recognizing market direction and serve as the first confirmation. MSS + BOS (Market Structure Shift + Break of Structure) – This indicator serves as additional confirmation for the Smart Money Concept. With the presence of two types of market structure, the market trend direction becomes clearer and more convincing. RSI Momentum Signal – This indicator becomes the third confirmation. When the Market Trend is clear and convincing, supported by the formation of Bearish and Bullish Order Blocks, the role of the Momentum Signal here becomes crucial as it provides trend momentum based on overbought and oversold areas. Momentum Position – This indicator becomes the next confirmation based on buyer and seller VOLUME in the market. If buyer volume is higher, the momentum position will be depicted on the chart with an upward arrow, and conversely, if seller volume is higher, it will be depicted with a downward arrow. SnR (Support and Resistance) – This final indicator is Support and Resistance, which will serve as the last and more convincing confirmation. Support and Resistance will strengthen the Order Block areas formed by the Smart Money Concept indicator. A Bullish Order Block + Support creates a higher possibility for an upward trend in the market, conversely, a Bearish Order Block + Resistance creates a higher possibility for a downward trend in the market. The combination of these several indicators will provide a strong market direction + persistent buyer and seller areas, as well as depict momentum based on volume + RSI which serve as additional confirmations. These additional confirmations will produce stronger signals and help avoid false and trap signals in the market. HOW TO USE A SHORT SIGNAL will be strong if there is a Downtrend Market Structure + Bearish Order Block + Resistance + Oversold RSI Momentum + Strong Seller Volume Momentum. A LONG SIGNAL will be strong if there is an Uptrend Market Structure + Bullish Order Block + Support + Overbought RSI Momentum + Strong Buyer Volume Momentum. CONCLUSION Signal Trend Momentum is a combination of several powerful indicators designed to produce stronger, clearer, and easier-to-read signals. This strategy is highly suitable for traders seeking more convincing trade signals based on multiple confirmations from the combined indicators, thereby creating a strong signal with a higher probability.
Pine Script™ 전략
AryantoH의
JYL Trend Pro V1.0 BETAJYL Trend Pro V1.0 is a rule‑based trend‑following strategy built on a proprietary smoothed price engine. It focuses on clear trend states and position management rather than classic indicators, and can be used on both long and short side depending on the user’s settings. Three Signal Modes 1. Stable Mode Stable mode is the “classic” version of the system. It reacts only when the trend state clearly flips, and then manages the position with simple rules: First strong bullish state → open / add to long First strong bearish state → open / add to short When the trend weakens but does not fully reverse, the strategy can reduce position size (partial exit) When the trend flips in the opposite direction, the strategy fully exits the existing position This mode is designed for traders who prefer fewer signals and smoother equity curves. 2. Impulsive Mode Impulsive mode keeps the same core logic, but allows the strategy to react earlier and manage exits more actively: Opportunistic early entries around strong moves Protective “early stop” logic for those aggressive entries Segment‑based partial exits after extended bullish or bearish runs Fast full exits when momentum fades quickly or the trend flips This mode is aimed at users who accept more trade frequency in exchange for faster reactions. 3. IMP+ Mode (Impulsive Plus) IMP+ is the advanced version of Impulsive mode. It keeps all core behavior and adds extra controls for power‑users: Adjustable presets for how early the system can enter a move Adjustable presets for how quickly early entries are cut if they fail Smarter add‑ons after a bullish / bearish segment, so adds can occur either at the next strong signal or on a “pullback‑type” bar inside the ongoing trend Flexible multi‑level partial‑exit packages after a strong run Additional “emergency exit” logic that can flatten positions when price opens too close to the previous bar after a strong trend segment All of these options are exposed as presets in the Inputs tab, so users can experiment without touching code. Signals & Usage The strategy prints clear labels on the chart: LONG / SHORT – open or add to position REDUCE SIZE – partial profit‑taking or risk reduction SELL LONG / SHORT COVER – full exit of long / short positions A trade‑direction filter lets you run the system as long‑only, short‑only, or long & short. This script is provided for educational and research purposes only. It is not financial advice and does not guarantee any future performance. Always test on a demo account, adjust risk to your own situation, and consult your broker or advisor before trading live. Internally, this strategy is based on the private JYL Trend Pro rule set and risk‑management framework.
Pine Script™ 전략
JYLTrendPro의
VWAP + EMA9 + RSI + Edo Control (Edu)VWAP + EMA9 + RSI + Edo Control (Edu) A complete intraday scalping system that combines institutional levels, fast trend signaling and enhanced candle-color analysis for maximum clarity and confirmation. This indicator includes: 1. VWAP (Volume Weighted Average Price) The institutional reference line used to determine value zones, liquidity bias and directional pressure. 2. EMA9 (Fast Exponential Moving Average) A micro-trend guide that reacts quickly to short-term movements and improves timing on pullback entries. 3. RSI (Relative Strength Index) A clean momentum filter using the classic >50 (bullish) and <50 (bearish) bias. Edo Control – Advanced Colored Candle System This version integrates Edo Control, a custom candle-color engine that visualizes market strength shifts based on Williams %R, directional movement and ADX behavior. Each candle color represents a different market condition, such as: Trend acceleration Trend weakening Possible reversals Momentum spikes Bullish or bearish pressure Transition zones A built-in movable legend explains the meaning of each color directly on the chart, so traders can identify conditions instantly without guessing. Why this indicator works The combination of VWAP + EMA9 + RSI + colored candle strength creates a multi-layer confirmation system that cuts noise and highlights only meaningful setups. Designed for 1m, 3m, 5m charts, but also effective on higher timeframes. Suitable for: stocks, indices, futures, forex, crypto.
Pine Script™ 전략
EDOLABMARKETS의
JYL Trend Pro V1.0 BETANASDAQ:TSLA JYL Trend Pro V1.0 is a rule‑based trend‑following strategy built on a proprietary smoothed price engine. It focuses on clear trend states and position management rather than classic indicators, and can be used on both long and short side depending on the user’s settings. Three Signal Modes 1. Stable Mode Stable mode is the “classic” version of the system. It reacts only when the trend state clearly flips, and then manages the position with simple rules: First strong bullish state → open / add to long First strong bearish state → open / add to short When the trend weakens but does not fully reverse, the strategy can reduce position size (partial exit) When the trend flips in the opposite direction, the strategy fully exits the existing position This mode is designed for traders who prefer fewer signals and smoother equity curves. 2. Impulsive Mode Impulsive mode keeps the same core logic, but allows the strategy to react earlier and manage exits more actively: Opportunistic early entries around strong moves Protective “early stop” logic for those aggressive entries Segment‑based partial exits after extended bullish or bearish runs Fast full exits when momentum fades quickly or the trend flips This mode is aimed at users who accept more trade frequency in exchange for faster reactions. 3. IMP+ Mode (Impulsive Plus) IMP+ is the advanced version of Impulsive mode. It keeps all core behavior and adds extra controls for power‑users: Adjustable presets for how early the system can enter a move Adjustable presets for how quickly early entries are cut if they fail Smarter add‑ons after a bullish / bearish segment, so adds can occur either at the next strong signal or on a “pullback‑type” bar inside the ongoing trend Flexible multi‑level partial‑exit packages after a strong run Additional “emergency exit” logic that can flatten positions when price opens too close to the previous bar after a strong trend segment All of these options are exposed as presets in the Inputs tab, so users can experiment without touching code. Signals & Usage The strategy prints clear labels on the chart: LONG / SHORT – open or add to position REDUCE SIZE – partial profit‑taking or risk reduction SELL LONG / SHORT COVER – full exit of long / short positions A trade‑direction filter lets you run the system as long‑only, short‑only, or long & short. This script is provided for educational and research purposes only. It is not financial advice and does not guarantee any future performance. Always test on a demo account, adjust risk to your own situation, and consult your broker or advisor before trading live. Internally, this strategy is based on the private JYL Trend Pro rule set and risk‑management framework.
Pine Script™ 전략
JYLTrendPro의
Pro Bollinger Bands Strategy [Breno]This strategy excels in highly volatile financial instruments, including cryptocurrencies, high-beta stocks, commodity futures, and certain exchange-traded funds (ETFs) that exhibit clear mean-reversion characteristics around their Bollinger Bands. The system's ability to utilize scaling (position averaging) and an ATR-based stop loss makes it particularly effective in markets with significant price swings, allowing the trader to capture profits from price extremes while managing increased volatility-related risk. Core Strategy Logic This Strategy implements a comprehensive trend-following and mean-reversion strategy primarily leveraging the Bollinger Bands (BB) indicator for entry and exit signals, complemented by an Average True Range (ATR)-based Stop Loss mechanism and an optional EMA filter. It is designed with robust features for capital management, including configurable leverage and a sophisticated position averaging (scaling) system. Long Entry: A long position is initiated when the closing price crosses over the Lower Bollinger Band (ta.crossover(close,lowerBB)). This signals a potential mean-reversion opportunity following a price dip. Short Entry: A short position is initiated when the closing price crosses under the Upper Bollinger Band (ta.crossunder(close,upperBB)). (Note: Short entries are disabled by default in the script inputs). Exit Conditions (Profit Target): Long positions aim to exit upon interaction with the Upper Bollinger Band. Users can select from three exit methods: "Close When Touch": Exits when close≥upperBB. "Close Above then Below": Exits when the previous close was above the upper band, and the current close is below it (a reversal signal). "High Above": Exits when high>upperBB. The strategy features an optional profitOnly setting, which restricts all exits to only occur if the trade is currently in profit (i.e., close is above the strategy.position_avg_price for longs). Key Features and Customization Bollinger Bands & Filters - Customizable BB Parameters: The Length and Deviation of the Bollinger Bands are fully adjustable, allowing users to fine-tune the sensitivity of the entry and exit signals. Optional EMA Filter: An optional EMA Filter can be enabled to align entries with the prevailing trend, where a Long entry is only permitted if close≥EMA(EmaFilterRange). Risk and Capital Management - Equity Allocation: Position size is dynamically calculated based on a Percentage of Equity (capitalPerc) combined with the set Leverage multiplier. Dynamic Stop Loss (ATR-Based): An optional Stop Loss (SL) is calculated using a multiple (slAtrInput) of the Average True Range (ATR). The SL is set relative to the entry price upon trade activation, providing a volatility-adjusted risk management layer. Position Averaging (Scaling): The script supports the addition of multiple units (pyramiding) to an existing position based on three user-selected criteria: "No": No averaging. "Percent": Adds to the position if the price has dropped by a set percentage (addPct) from the average price. "ATR": Adds to the position if the current price is significantly below a calculated ATR-based support level from the average price.
Pine Script™ 전략
brenosilver의
XRP Non-Stop Strategy (TP 25% / SL 15%)XRP Non-Stop Strategy (TP 25% / SL 15%) is a continuous long-side trading system designed specifically for XRP. The strategy uses an EMA-based trend filter (EMA20/EMA50) to confirm bullish conditions before entering a long position. Each trade applies a fixed +25% Take Profit target and a −15% Stop Loss, calculated dynamically from the entry price. When a trade closes—whether by TP or SL—the strategy automatically re-enters on the next qualifying signal, enabling uninterrupted position cycling. Features include: • EMA-based trend confirmation • Dynamic TP/SL visualization on the chart • Clear BUY and EXIT markers • Dedicated alert conditions for automation
Pine Script™ 전략
antishyilma81의
XRP Non-Stop Strategy (TP 25% / SL 15%)This strategy performs continuous automated trading exclusively on XRP. It opens long positions during favorable trend conditions, using a fixed Take Profit target of 25% above the entry price and a fixed Stop Loss of 15% below the entry. Once a trade is closed (either TP or SL), the strategy automatically re-enters on the next valid signal, enabling uninterrupted trading. The script includes: Dynamic Take Profit & Stop Loss lines Optional EMA trend filter Visual BUY and EXIT markers TradingView alerts for automation or notifications This strategy is built for traders who want a simple, price-action-driven system without fixed price levels, relying only on percentage-based movement from each entry.
Pine Script™ 전략
antishyilma81의
Long Only EMA Strategy (9/20 with 200 EMA Filter)Details: This strategy is built around a very simple idea: follow the primary trend and enter only when momentum supports it. It uses three EMAs on a standard candlestick chart: 1. 9‑period EMA – short‑term momentum 2. 20‑period EMA – medium‑term structure 3. 200‑period EMA – long‑term trend filter The strategy is ** long‑only ** and is mainly designed for swing trading and positional trading. It avoids counter‑trend trades by taking entries only when price is trading ** above the 200 EMA **, which is commonly used as a long‑term trend reference. The rules are deliberately kept simple so that they are easy to understand, modify, and test on different markets and timeframes. --- Key Features 1. **Trend‑Filtered Entries** - Fresh long positions are considered only when: - The 9 EMA crosses above the 20 EMA - The closing price is **above** the 200 EMA - This attempts to combine short‑term momentum with a higher‑timeframe trend filter. 2. **Clean Exit Logic** - The long position is exited when the closing price crosses **below** the 20 EMA. - This creates an objective, rule‑based way to trail the trade as long as the medium‑term structure remains intact. 3. **Long‑Only, No Short Selling** - The script intentionally ignores short setups. - This makes it suitable for markets or accounts where short selling is restricted, or for traders who prefer to participate only on the long side of the market. 4. **Simple Visuals** - All three EMAs are plotted directly on the chart: - 9 EMA (fast) - 20 EMA (medium) - 200 EMA (trend) - Trade entries and exits are handled by TradingView’s strategy engine, so users can see results in the Strategy Tester as well as directly on the chart. 5. **Backtest‑Friendly Structure** - Uses TradingView’s built‑in `strategy()` framework. - Can be applied to different symbols, timeframes, and markets (equities, indices, crypto, etc.). - Works on standard candlestick charts, which are supported by TradingView’s backtesting engine. 6. **Configurable in Code** - The EMA periods are defined in the code and can be easily adjusted. - Users can tailor the parameters to fit their own style (for example, faster EMAs for intraday trading, slower EMAs for positional trades). --- How to Use 1. **Add the Strategy to Your Chart** 1. Open any symbol and select a **standard candlestick chart**. 2. Apply the strategy from your “My Scripts” section. 3. Make sure it is enabled so that the trades and results appear. 2. **Select Timeframe** - The logic can be tested on various timeframes: - Higher timeframes (1H, 4H, 1D) for swing and positional setups. - Lower timeframes (5m, 15m) for more active trading, if desired. - Users should experiment and see where the strategy behaves more consistently for their chosen market. 3. **Read the Signals** - **Entry:** - A long trade is opened when the 9 EMA crosses above the 20 EMA while the closing price is above the 200 EMA. - **Exit:** - The open long position is closed when the closing price crosses below the 20 EMA. - All orders are generated automatically once the strategy is attached to the chart. 4. **Use the Strategy Tester** - Go to the **Strategy Tester** tab in TradingView. - Check: - Net profit / drawdown - Win rate and average trade - List of trades and the equity curve - Change the date range and timeframe to see how stable the results are over different periods. 5. **Adjust Parameters if Needed** - Advanced users can open the code and experiment with: - EMA lengths (for example 8/21 with 200, or 10/30 with 200) - Risk sizing and capital settings within the `strategy()` call - Any changes should be thoroughly re‑tested before considering real‑world application. --- Practical Applications 1. **Swing Trading on Daily Charts** - Can be applied to stocks, indices, or ETFs on the daily timeframe. - The 200 EMA acts as a trend filter to stay aligned with the broad direction, while the 9/20 crossover helps catch medium‑term swings inside that trend. 2. **Positional Trades on Higher Timeframes** - On 4H or 1D charts, this approach can help in holding trades for several days to weeks. - The exit rule based on the 20 EMA crossing helps avoid emotional decisions and provides a rules‑based way to trail the trend. 3. **Trend‑Following Filter** - Even if used purely as a filter, the 200 EMA condition can help traders: - Avoid taking long trades when the market is in a clear downtrend. - Focus only on instruments that are trading above their long‑term average. 4. **Educational Use** - The script is intentionally kept straightforward so that newer users can: - Learn how a moving average crossover strategy works. - See how to combine a short‑term signal with a long‑term filter. - Understand how TradingView’s strategy engine handles entries and exits. 5. **Basis for Further Development** - This can serve as a starting point for more advanced systems. - Traders can extend it by adding: - Additional filters (RSI, volume, volatility filters, time‑of‑day filters, etc.) - Risk management rules (fixed stop loss, take profit, trailing stops). - The current version is kept minimal on purpose, so modifications are easy to implement and test. --- Important Notes & Disclaimer 1. This strategy is provided **for testing, research, and educational purposes only**. 2. It is ** not ** a recommendation to buy or sell any financial instrument. 3. Past performance on historical data does not guarantee similar results in live markets. 4. Markets are risky and trading can lead to financial loss; users should always do their own research, manage risk appropriately, and consult a qualified financial professional if needed. 5. Before using any strategy with real capital, it is strongly advised to: - Forward test it on a demo / paper trading account. - Check how it behaves during different market phases (trending, sideways, high‑volatility conditions). You are free to modify the parameters and logic to better align it with your own trading style and risk tolerance.
Pine Script™ 전략
growbharat2005의
Strategy: HMA 50 + Supertrend SniperHMA 50 + Supertrend Confluence Strategy (Trend Following with Noise Filtering) Description: Introduction and Concept This strategy is designed to solve a common problem in trend-following trading: Lag vs. False Signals. Standard Moving Averages often lag too much, while price action indicators can generate false signals during choppy markets. This script combines the speed of the Hull Moving Average (HMA) with the volatility-based filtering of the Supertrend indicator to create a robust "Confluence System." The primary goal of this script is not just to overlay two indicators, but to enforce a strict rule where a trade is only taken when Momentum (HMA) and Volatility Direction (Supertrend) are in perfect agreement. Why this combination? (The Logic Behind the Mashup) Hull Moving Average (HMA 50): We use the HMA because it significantly reduces lag compared to SMA or EMA by using weighted calculations. It acts as our primary Trend Direction detector. However, HMA can be too sensitive and "whipsaw" during sideways markets. Supertrend (ATR-based): We use the Supertrend (Factor 3.0, Period 10) as our Volatility Filter. It uses Average True Range (ATR) to determine the significant trend boundary. How it Works (Methodology) The strategy uses a boolean logic system to filter out low-quality trades: Bullish Confluence: The HMA must be rising (Slope > 0) AND the Close Price must be above the Supertrend line (Uptrend). Bearish Confluence: The HMA must be falling (Slope < 0) AND the Close Price must be below the Supertrend line (Downtrend). The "Choppy Zone" (Noise Filter): This is a unique feature of this script. If the HMA indicates one direction (e.g., Rising) but the Supertrend indicates the opposite (e.g., Downtrend), the market is considered "Choppy" or indecisive. In this state, the script paints the candles or HMA line Gray and exits all positions (optional setting) to preserve capital. Visual Guide & Signals To make the script easy to interpret for traders who do not read Pine Script, I have implemented specific visual cues: Green Cross (+): Indicates a LONG entry signal. Both HMA and Supertrend align bullishly. Red Cross (X): Indicates a SHORT entry signal. Both HMA and Supertrend align bearishly. Thick Line (HMA): The main line changes color based on the trend. Green: Bullish Confluence. Red: Bearish Confluence. Gray: Divergence/Choppy (No Trade Zone). Thin Step Line: This is the Supertrend line, serving as your dynamic Trailing Stop Loss. Strategy Settings HMA Length: Default is 50 (Mid-term trend). ATR Factor/Period: Default is 3.0/10 (Standard for trend catching). Exit on Choppy: A toggle switch allowing users to decide whether to hold through noise or exit immediately when indicators disagree. Risk Warning This strategy performs best in trending markets (Forex, Crypto, Indices). Like all trend-following systems, it may experience drawdown during prolonged accumulation/distribution phases. Please backtest with your specific asset before using it with real capital.
Pine Script™ 전략
Gustav_Rex의
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