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APEX TREND: Macro & Hard Stop SystemAPEX TREND: Macro & Hard Stop System The APEX TREND System is a composite trend-following strategy engineered to solve the "Whipsaw" problem inherent in standard breakout systems. It orchestrates four distinct technical theories—Macro Trend Filtering, Volatility Squeeze, Momentum, and Volatility Stop-Loss—into a single, hierarchical decision-making engine. This script is not merely a collection of indicators; it is a rules-based trading system designed for Swing Traders (Day/Week timeframes) who aim to capture major trend extensions while strictly managing downside risk through a "Hard Stop" mechanism. 🧠 Underlying Concepts & Originality Many trend indicators fail because they treat all price movements equally. The APEX TREND differentiates itself by applying an "Institutional Filter" logic derived from classic Dow Theory and Modern Volatility Analysis. 1. The Macro Hard Stop (The 200 EMA Logic) Origin: Based on the institutional mandate that “Nothing good happens below the 200-day moving average.” Function: Unlike standard super trends that flip constantly in sideways markets, this system integrates a 200-period Exponential Moving Average (EMA) as a non-negotiable "Hard Stop." Synergy: This acts as the primary gatekeeper. Even if the volatility engine signals a "Buy," the system suppresses the signal if the price is below the Macro Baseline, effectively filtering out counter-trend traps. 2. The Volatility Engine (Squeeze Theory) Origin: Derived from John Carter’s TTM Squeeze concept. Function: The script identifies periods where Bollinger Bands (Standard Deviation) contract inside Keltner Channels (ATR). This indicates a period of potential energy build-up. Synergy: The system only triggers an entry when this energy is released (Breakout) AND coincides with Linear Regression Momentum, ensuring the breakout is genuine. 3. Anti-Chop Filter (ADX Integration) Origin: J. Welles Wilder’s Directional Movement Theory. Function: A common failure point for trend systems is low-volatility chop. This script utilizes the Average Directional Index (ADX). Synergy: If the ADX is below the threshold (Default: 20), the market is deemed "Choppy." The script visually represents this by painting candles GRAY, signaling a "No-Trade Zone" regardless of price action. 4. The "Run Trend" Stop Loss (Factor 4.0 ATR) Origin: Adapted from the Turtle Trading rules regarding volatility-based stops. Function: Standard Trailing Stops (usually Factor 3.0) are too tight for crypto or volatile equities on daily timeframes. Optimization: This system employs a wider ATR Multiplier of 4.0. This allows the asset to fluctuate naturally within a trend without triggering a premature exit, maximizing the "Run Trend" potential. 🛠 How It Works (The Algorithm) The script processes data in a specific order to generate a signal: Check Macro Trend: Is Price > EMA 200? (If No, Longs are disabled). Check Volatility: Is ADX > 20? (If No, all signals are disabled). Check Volume: Is Current Volume > 1.2x Average Volume? (Confirmation of institutional participation). Trigger: Has a Volatility Breakout occurred in the direction of the Macro Trend? Execution: If ALL above are true -> Generate Signal. 🎯 Strategy Guide 1. Long Setup (Bullish) Signal: Look for the Green "APEX LONG" Label. Condition: The price must be ABOVE the White Line (EMA 200). Execution: Enter at the close of the signal candle. Stop Loss: Initial stop at the Green Trailing Line. 2. Short Setup (Bearish) Signal: Look for the Red "APEX SHORT" Label. Condition: The price must be BELOW the White Line (EMA 200). Execution: Enter at the close of the signal candle. Stop Loss: Initial stop at the Red Trailing Line. 3. Exit Rules (Crucial) This system employs a Dual-Exit Mechanism: Soft Exit (Profit Taking): Close the position if the price crosses the Trailing Stop Line (Green/Red line). This locks in profits during a trend reversal. Hard Exit (Emergency): Close the position IMMEDIATELY if the price crosses the White EMA 200 Line against your trade. This prevents holding a position during a major market regime change. ⚙️ Settings Momentum Engine: Adjust Bollinger Band/Keltner Channel lengths to tune breakout sensitivity. Apex Filters: Toggle the EMA 200 or ADX filters on/off to adapt to different asset classes. Risk Management: The ATR Multiplier (Default 4.0) controls the width of the trailing stop. Lower values = Tighter stops (Scalping); Higher values = Looser stops (Swing). Disclaimer: This script is designed for trend-following on higher timeframes (4H, 1D, 1W). Please backtest on your specific asset before live trading.
אינדיקטור Pine Script®
מאת ‎Gustav_Rex‎
Stochastic Hash Strat [Hash Capital Research]# Stochastic Hash Strategy by Hash Capital Research ## 🎯 What Is This Strategy? The **Stochastic Slow Strategy** is a momentum-based trading system that identifies oversold and overbought market conditions to capture mean-reversion opportunities. Think of it as a "buy low, sell high" approach with smart mathematical filters that remove emotion from your trading decisions. Unlike fast-moving indicators that generate excessive noise, this strategy uses **smoothed stochastic oscillators** to identify only the highest-probability setups when momentum truly shifts. --- ## 💡 Why This Strategy Works Most traders fail because they: - **Chase prices** after big moves (buying high, selling low) - **Overtrade** in choppy, directionless markets - **Exit too early** or hold losses too long This strategy solves all three problems: 1. **Entry Discipline**: Only trades when the stochastic oscillator crosses in extreme zones (oversold for longs, overbought for shorts) 2. **Cooldown Filter**: Prevents revenge trading by forcing a waiting period after each trade 3. **Fixed Risk/Reward**: Pre-defined stop-loss and take-profit levels ensure consistent risk management **The Math Behind It**: The stochastic oscillator measures where the current price sits relative to its recent high-low range. When it's below 25, the market is oversold (time to buy). When above 70, it's overbought (time to sell). The crossover with its moving average confirms momentum is shifting. --- ## 📊 Best Markets & Timeframes ### ⭐ OPTIMAL PERFORMANCE: **Crude Oil (WTI) - 12H Timeframe** - **Why it works**: Oil markets have predictable volatility patterns and respect technical levels **AAVE/USD - 4H to 12H Timeframe** - **Why it works**: DeFi tokens exhibit strong momentum cycles with clear extremes ### ✅ Also Works Well On: - **BTC/USD** (12H, Daily) - Lower frequency but high win rate - **ETH/USD** (8H, 12H) - Balanced volatility and liquidity - **Gold (XAU/USD)** (Daily) - Classic mean-reversion asset - **EUR/USD** (4H, 8H) - Lower volatility, requires patience ### ❌ Avoid Using On: - Timeframes below 4H (too much noise) - Low-liquidity altcoins (wide spreads kill performance) - Strongly trending markets without pullbacks (Bitcoin in 2021) - News-driven instruments during major events --- ## 🎛️ Understanding The Settings ### Core Stochastic Parameters **Stochastic Length (Default: 16)** - Controls the lookback period for price comparison - Lower = faster reactions, more signals (10-14 for volatile markets) - Higher = smoother signals, fewer trades (16-21 for stable markets) - **Pro tip**: Use 10 for crypto 4H, 16 for commodities 12H **Overbought Level (Default: 70)** - Threshold for short entries - Lower values (65-70) = more trades, earlier entries - Higher values (75-80) = fewer but higher-conviction trades - **Sweet spot**: 70 works for most assets **Oversold Level (Default: 25)** - Threshold for long entries - Higher values (25-30) = more trades, earlier entries - Lower values (15-20) = fewer but stronger bounce setups - **Sweet spot**: 20-25 depending on market conditions **Smooth K & Smooth D (Default: 7 & 3)** - Additional smoothing to filter out whipsaws - K=7 makes the indicator slower and more reliable - D=3 is the signal line that confirms the trend - **Don't change these unless you know what you're doing** --- ### Risk Management **Stop Loss % (Default: 2.2%)** - Automatically exits losing trades - Should be 1.5x to 2x your average market volatility - Too tight = death by a thousand cuts - Too wide = uncontrolled losses - **Calibration**: Check ATR indicator and set SL slightly above it **Take Profit % (Default: 7%)** - Automatically exits winning trades - Should be 2.5x to 3x your stop loss (reward-to-risk ratio) - This default gives 7% / 2.2% = 3.18:1 R:R - **The golden rule**: Never have R:R below 2:1 --- ### Trade Filters **Bar Cooldown Filter (Default: ON, 3 bars)** - **What it does**: Forces you to wait X bars after closing a trade before entering a new one - **Why it matters**: Prevents emotional revenge trading and overtrading in choppy markets - **Settings guide**: - 3 bars = Standard (good for most cases) - 5-7 bars = Conservative (oil, slow-moving assets) - 1-2 bars = Aggressive (only for experienced traders) **Exit on Opposite Extreme (Default: ON)** - Closes your long when stochastic hits overbought (and vice versa) - Acts as an early profit-taking mechanism - **Leave this ON** unless you're testing other exit strategies **Divergence Filter (Default: OFF)** - Looks for price/momentum divergences for additional confirmation - **When to enable**: Trending markets where you want fewer but higher-quality trades - **Keep OFF for**: Mean-reverting markets (oil, forex, most of the time) --- ## 🚀 Quick Start Guide ### Step 1: Set Up in TradingView 1. Open TradingView and navigate to your chart 2. Click "Pine Editor" at the bottom 3. Copy and paste the strategy code 4. Click "Add to Chart" 5. The strategy will appear in a separate pane below your price chart ### Step 2: Choose Your Market **If you're trading Crude Oil:** - Timeframe: 12H - Keep all default settings - Watch for signals during London/NY overlap (8am-11am EST) **If you're trading AAVE or crypto:** - Timeframe: 4H or 12H - Consider these adjustments: - Stochastic Length: 10-14 (faster) - Oversold: 20 (more aggressive) - Take Profit: 8-10% (higher targets) ### Step 3: Wait for Your First Signal **LONG Entry** (Green circle appears): - Stochastic crosses up below oversold level (25) - Price likely near recent lows - System places limit order at take profit and stop loss **SHORT Entry** (Red circle appears): - Stochastic crosses down above overbought level (70) - Price likely near recent highs - System places limit order at take profit and stop loss **EXIT** (Orange circle): - Position closes either at stop, target, or opposite extreme - Cooldown period begins ### Step 4: Let It Run The biggest mistake? **Interfering with the system.** - Don't close trades early because you're scared - Don't skip signals because you "have a feeling" - Don't increase position size after a big win - Don't revenge trade after a loss **Follow the system or don't use it at all.** --- ### Important Risks: 1. **Drawdown Pain**: You WILL experience losing streaks of 5-7 trades. This is mathematically normal. 2. **Whipsaw Markets**: Choppy, range-bound conditions can trigger multiple small losses. 3. **Gap Risk**: Overnight gaps can cause your actual fill to be worse than the stop loss. 4. **Slippage**: Real execution prices differ from backtested prices (factor in 0.1-0.2% slippage). --- ## 🔧 Optimization Guide ### When to Adjust Settings: **Market Volatility Increased?** - Widen stop loss by 0.5-1% - Increase take profit proportionally - Consider increasing cooldown to 5-7 bars **Getting Too Few Signals?** - Decrease stochastic length to 10-12 - Increase oversold to 30, decrease overbought to 65 - Reduce cooldown to 2 bars **Getting Too Many Losses?** - Increase stochastic length to 18-21 (slower, smoother) - Enable divergence filter - Increase cooldown to 5+ bars - Verify you're on the right timeframe ### A/B Testing Method: 1. **Run default settings for 50 trades** on your chosen market 2. Document: Win rate, profit factor, max drawdown, emotional tolerance 3. **Change ONE variable** (e.g., oversold from 25 to 20) 4. Run another 50 trades 5. Compare results 6. Keep the better version **Never change multiple settings at once** or you won't know what worked. --- ## 📚 Educational Resources ### Key Concepts to Learn: **Stochastic Oscillator** - Developed by George Lane in the 1950s - Measures momentum by comparing closing price to price range - Formula: %K = (Close - Low) / (High - Low) × 100 - Similar to RSI but more sensitive to price movements **Mean Reversion vs. Trend Following** - This is a **mean reversion** strategy (price returns to average) - Works best in ranging markets with defined support/resistance - Fails in strong trending markets (2017 Bitcoin, 2020 Tech stocks) - Complement with trend filters for better results **Risk:Reward Ratio** - The cornerstone of profitable trading - Winning 40% of trades with 3:1 R:R = profitable - Winning 60% of trades with 1:1 R:R = breakeven (after fees) - **This strategy aims for 45% win rate with 2.5-3:1 R:R** ### Recommended Reading: - *"Trading Systems and Methods"* by Perry Kaufman (Chapter on Oscillators) - *"Mean Reversion Trading Systems"* by Howard Bandy - *"The New Trading for a Living"* by Dr. Alexander Elder --- ## 🛠️ Troubleshooting ### "I'm not seeing any signals!" **Check:** - Is your timeframe 4H or higher? - Is the stochastic actually reaching extreme levels (check if your asset is stuck in middle range)? - Is cooldown still active from a previous trade? - Are you on a low-liquidity pair? **Solution**: Switch to a more volatile asset or lower the overbought/oversold thresholds. --- ### "The strategy keeps losing money!" **Check:** - What's your win rate? (Below 35% is concerning) - What's your profit factor? (Below 0.8 means serious issues) - Are you trading during major news events? - Is the market in a strong trend? **Solution**: 1. Verify you're using recommended markets/timeframes 2. Increase cooldown period to avoid choppy markets 3. Reduce position size to 5% while you diagnose 4. Consider switching to daily timeframe for less noise --- ### "My stop losses keep getting hit!" **Check:** - Is your stop loss tighter than the average ATR? - Are you trading during high-volatility sessions? - Is slippage eating into your buffer? **Solution**: 1. Calculate the 14-period ATR 2. Set stop loss to 1.5x the ATR value 3. Avoid trading right after market open or major news 4. Factor in 0.2% slippage for crypto, 0.1% for oil --- ## 💪 Pro Tips from the Trenches ### Psychological Discipline **The Three Deadly Sins:** 1. **Skipping signals** - "This one doesn't feel right" 2. **Early exits** - "I'll just take profit here to be safe" 3. **Revenge trading** - "I need to make back that loss NOW" **The Solution:** Treat your strategy like a business system. Would McDonald's skip making fries because the cashier "doesn't feel like it today"? No. Systems work because of consistency. --- ### Position Management **Scaling In/Out** (Advanced) - Enter 50% position at signal - Add 50% if stochastic reaches 10 (oversold) or 90 (overbought) - Exit 50% at 1.5x take profit, let the rest run **This is NOT for beginners.** Master the basic system first. --- ### Market Awareness **Oil Traders:** - OPEC meetings = volatility spikes (avoid or widen stops) - US inventory reports (Wed 10:30am EST) = avoid trading 2 hours before/after - Summer driving season = different patterns than winter **Crypto Traders:** - Monday-Tuesday = typically lower volatility (fewer signals) - Thursday-Sunday = higher volatility (more signals) - Avoid trading during exchange maintenance windows --- ## ⚖️ Legal Disclaimer This trading strategy is provided for **educational purposes only**. - Past performance does not guarantee future results - Trading involves substantial risk of loss - Only trade with capital you can afford to lose - No one associated with this strategy is a licensed financial advisor - You are solely responsible for your trading decisions **By using this strategy, you acknowledge that you understand and accept these risks.** --- ## 🙏 Acknowledgments Strategy development inspired by: - George Lane's original Stochastic Oscillator work - Modern quantitative trading research - Community feedback from hundreds of backtests Built with ❤️ for retail traders who want systematic, disciplined approaches to the markets. --- **Good luck, stay disciplined, and trade the system, not your emotions.**
אסטרטגיית Pine Script®
מאת ‎Hash_Capital‎
Average True Range % infoATR% is a modified version of the classic Average True Range indicator that displays price volatility as a percentage of the instrument's value, rather than in absolute values. This allows you to easily compare the volatility of different assets (e.g., Bitcoin vs Tesla stock) regardless of their price. Main Features 1. ATR% Chart The red line shows the average volatility from the last N candles (default 14), expressed as a percentage. For example: ATR% = 2.5% means that the average daily move is approximately 2.5% of the asset's value Higher values = greater volatility (higher profit potential, but also greater risk) Lower values = lower volatility (calmer market) 2. Volatility Trend Analysis The indicator automatically detects whether volatility is rising, falling, or stable: Up arrow (↑) - volatility is rising (price becomes more "nervous") Down arrow (↓) - volatility is falling (market is calming down) Horizontal arrow (⮆) - volatility is stable (within ±3% of the moving average) 3. Information Table In the upper right corner of the chart you will see Current ATR% value and Trend arrow with color coding: - Green = rising volatility - Red = falling volatility - Gray = stable volatility Parameters to Configure Indicator Length (default: 14) - How many candles back to include in calculations: Lower values (5-10): more sensitive to sudden changes, reacts faster Higher values (20-30): more smoothed, shows long-term volatility picture Trend Length (default: 10) - Period to analyze whether volatility is rising/falling: Lower values: faster trend change signals Higher values: more reliable, but slower signals Sample Interpretations ATR% Volatility Asset Type/Situation < 1% Very low Stable blue-chip stocks, calm market 1-3% Low-medium Typical stocks, normal conditions 3-5% Medium-high Volatile stocks, cryptocurrencies at rest 5-10% High Cryptocurrencies, penny stocks > 10% Extremely high Market panic, crash, pump & dump
אינדיקטור Pine Script®
מאת ‎Jawortrader‎
Position Sizer (% of Acct & Shares Req) This indicator calculates % position size and share quantity required based on total capital and user-defined risk percentages This indicator differs from the Shares Qty indicator in that it is based on %'s rather than a user-defined, fixed dollar amount to risk (for those who prefer to calculate risk in this manner instead) Tracks real-time Low of Day (LoD) during regular trading hours (RTH) for accurate stop placement Current price as well as output rows 2 and 3 can be toggled on/off, per preference Allows stop loss selection between LoD, Low of Week (LoW), and Prior Day Low (PDL) Keeps data updating intraday to reflect changing LoD and price conditions Provides a second “Stop Loss Compare” dropdown to compare two stop methods side by side Displays all results in a dynamic on-chart table that updates with live prices Shows capital amount, stop type, stop price, and share counts for three risk levels ========= Risk rows displayed as: Risk of Cap Amt: , ========= Disclaimer: This indicator is for educational and informational purposes only. It should not be used as the sole basis for trading decisions. Always combine with other forms of analysis, proper risk management techniques, and consider your individual trading plan and risk tolerance. All calculations and outputs are provided as-is, and it is your responsibility to verify their accuracy before making any trading decisions.
אינדיקטור Pine Script®
מאת ‎CarpaccioTrades‎
MechArt ATR Box V1MechArt ATR Box V1 Description: The MechArt ATR Box V1 is a precision trade-planning and risk-management tool that visualizes your entire position framework using customizable ATR-based zones. It automatically plots your key decision levels from a defined entry price and ATR value — helping you clearly see when to roll, hold, or exit a trade. Features: Configurable ATR multipliers for roll, stop, and emergency zones. Automatically updates labels and price levels based on your custom ATR settings. Distinct color-coded boxes for: ✅ +1 ATR (Roll Zone) – visualize profit or roll targets. ⚠️ –2 ATR (Stop Zone) – manage risk boundaries. 🚨 –3 ATR (Emergency Stop) – mark hard exit thresholds. Adjustable ATRs, line style, width, color, and opacity for visual clarity. Optional Days Until Expiration label for time-sensitive trades. Ideal for: Traders using mechanical, ATR driven systems (like OVTLYR Plan M), or anyone who wants a clear, rule-based visualization of risk vs. reward directly on the chart.
אינדיקטור Pine Script®
מאת ‎MechArt_‎
1
RPT Position Sizer🎯 Purpose This indicator is a position sizing and stop-loss calculator designed to help traders instantly determine: How many shares/contracts to buy, How much risk (₹) they are taking per trade, How much capital will be deployed, and The precise stop-loss price level based on user-defined parameters. It displays all key values in a compact on-chart table (bottom-left corner) for quick trade planning. 💡 Use Case Perfect for discretionary swing traders, systematic position traders, and risk managers who want instant visual feedback of trade sizing metrics directly on the chart — eliminating manual calculations and improving discipline. ⚙️ Key Features Dynamic Inputs Trading Capital (₹) — total available capital for trading. RPT % — risk-per-trade as a percentage of total capital. SL % — stop-loss distance in percent below CMP (Current Market Price). CMP Source — can be linked to close, hl2, etc. Rounding Style — round position size to Nearest, Floor, or Ceil. Decimals Show — control number formatting precision in the table. Core Calculations SL Points: CMP × SL% SL Price: CMP − SL Points Risk Amount (₹): Capital × RPT% Position Size: Risk ÷ SL Points Capital Used: Position Size × CMP Clean On-Chart Table Display Displays: Trading Capital RPT % Risk Amount (₹) Position Size (shares/contracts) Capital Required (₹) Stop-Loss % & SL Price The table uses a minimalistic white-on-black design with clear labeling and rupee formatting for quick reference. Data Window Integration Plots hidden values (Position Size, Risk Amount, SL Points, Capital Used) for use in TradingView’s Data Window—ideal for strategy testing and exporting values.
אינדיקטור Pine Script®
מאת ‎PrashantSinghh‎
Risk Recommender — (Heatmap)📊 Risk Recommender — Per-Trade & Annualized (Heatmap Columns) Estimate the optimal risk percentage for any market regime. This tool dynamically recommends how much of your account equity to risk — either per trade or at a portfolio (annualized) level — using volatility as the guide. ⚙️ How it works Two distinct modes give you flexibility: 1️⃣ Per-Trade (ATR-based) • Calculates the current Average True Range (ATR) compared to its long-term baseline. • When volatility is high (ATR ↑), risk per trade decreases to maintain constant dollar risk. • When volatility is low (ATR ↓), risk per trade increases within your defined floor and ceiling. • The display is normalized by stop distance (× ATR) and smoothed to avoid noise. 2️⃣ Annualized (Volatility Targeting) • Computes realized volatility (standard deviation of log returns) and an EWMA forecast of future volatility. • Blends current and forecast volatilities to estimate “effective” volatility. • Scales your base risk so that portfolio volatility converges toward your chosen annual target (e.g., 20%). • Useful for portfolio-level or systematic strategies that maintain constant volatility exposure. 🎨 Heatmap Visualization The vertical column graph acts like a thermometer: • 🟥 Red → “Reduce risk” (volatility high). • 🟩 Green → “Increase risk” (volatility low). • Smoothed and bounded between your Floor and Ceiling risk levels. • Optional dotted guides mark those bounds. • Label shows the current mode, recommended risk %, and key metrics (ATR ratio or effective volatility). 🔧 Key Inputs • Base max risk per trade (%) — your normal per-trade risk budget. • ATR length / Baseline ATR length — control sensitivity to short- vs. long-term volatility. • Target annualized volatility (%) — portfolio volatility target for quant mode. • λ (lambda) — smoothing factor for the EWMA volatility forecast (0.90–0.99 typical). • Floor & Ceiling — clamps the output to avoid extreme sizing. • Smoothing & Hysteresis — prevent rapid changes in risk recommendations. 🧮 Interpreting the Output • “Recommended Risk (%)” = suggested portion of equity to risk on the next trade (or current exposure). • In Per-Trade mode: reflects current ATR ÷ baseline ATR . • In Annualized mode: reflects target volatility ÷ effective volatility . • Use the color and height of the column as a quick visual cue for aggressiveness. 💡 Typical Use Cases • Position-sizing overlay for discretionary traders. • Volatility-targeting component for algorithmic or multi-asset systems. • Educational tool to understand how volatility governs prudent risk management. 📘 Notes • This indicator provides risk suggestions only ; it does not place trades. • Works on any symbol or timeframe. • Combine with your own strategy or alerts for full automation. • All calculations use built-in Pine functions; no proprietary logic. Tags: #RiskManagement #ATR #Volatility #Quant #PositionSizing #SystematicTrading #AlgorithmicTrading #Portfolio #TradingStrategy #Heatmap #EWMA #Risk
אינדיקטור Pine Script®
מאת ‎Algorific‎
Aggregated Scores Oscillator [Alpha Extract]A sophisticated risk-adjusted performance measurement system that combines Omega Ratio and Sortino Ratio methodologies to create a comprehensive market assessment oscillator. Utilizing advanced statistical band calculations with expanding and rolling window analysis, this indicator delivers institutional-grade overbought/oversold detection based on risk-adjusted returns rather than traditional price movements. The system's dual-ratio aggregation approach provides superior signal accuracy by incorporating both upside potential and downside risk metrics with dynamic threshold adaptation for varying market conditions. 🔶 Advanced Statistical Framework Implements dual statistical methodologies using expanding and rolling window calculations to create adaptive threshold bands that evolve with market conditions. The system calculates cumulative statistics alongside rolling averages to provide both historical context and current market regime sensitivity with configurable window parameters for optimal performance across timeframes. 🔶 Dual Ratio Integration System Combines Omega Ratio analysis measuring excess returns versus deficit returns with Sortino Ratio calculations focusing on downside deviation for comprehensive risk-adjusted performance assessment. The system applies configurable smoothing to both ratios before aggregation, ensuring stable signal generation while maintaining sensitivity to regime changes. // Omega Ratio Calculation Excess_Return = sum((Daily_Return > Target_Return ? Daily_Return - Target_Return : 0), Period) Deficit_Return = sum((Daily_Return < Target_Return ? Target_Return - Daily_Return : 0), Period) Omega_Ratio = Deficit_Return ≠ 0 ? (Excess_Return / Deficit_Return) : na // Sortino Ratio Framework Downside_Deviation = sqrt(sum((Daily_Return < Target_Return ? (Daily_Return - Target_Return)² : 0), Period) / Period) Sortino_Ratio = (Mean_Return / Downside_Deviation) * sqrt(Annualization_Factor) // Aggregated Score Aggregated_Score = SMA(Omega_Ratio, Omega_SMA) + SMA(Sortino_Ratio, Sortino_SMA) 🔶 Dynamic Band Calculation Engine Features sophisticated threshold determination using both expanding historical statistics and rolling window analysis to create adaptive overbought/oversold levels. The system incorporates configurable multipliers and sensitivity adjustments to optimize signal timing across varying market volatility conditions with automatic band convergence logic. 🔶 Signal Generation Framework Generates overbought conditions when aggregated score exceeds adjusted upper threshold and oversold conditions below lower threshold, with neutral zone identification for range-bound markets. The system provides clear binary signal states with background zone highlighting and dynamic oscillator coloring for intuitive market condition assessment. 🔶 Enhanced Visual Architecture Provides modern dark theme visualization with neon color scheme, dynamic oscillator line coloring based on signal states, and gradient band fills for comprehensive market condition visualization. The system includes zero-line reference, statistical band plots, and background zone highlighting with configurable transparency levels. snapshot 🔶 Risk-Adjusted Performance Analysis Utilizes target return parameters for customizable risk assessment baselines, enabling traders to evaluate performance relative to specific return objectives. The system's focus on downside deviation through Sortino analysis provides superior risk-adjusted signals compared to traditional volatility-based oscillators that treat upside and downside movements equally. 🔶 Multi-Timeframe Adaptability Features configurable calculation periods and rolling windows to optimize performance across various timeframes from intraday to long-term analysis. The system's statistical foundation ensures consistent signal quality regardless of timeframe selection while maintaining sensitivity to market regime changes through adaptive band calculations. 🔶 Performance Optimization Framework Implements efficient statistical calculations with optimized variable management and configurable smoothing parameters to balance responsiveness with signal stability. The system includes automatic band adjustment mechanisms and rolling window management for consistent performance across extended analysis periods. This indicator delivers sophisticated risk-adjusted market analysis by combining proven statistical ratios in a unified oscillator framework. Unlike traditional overbought/oversold indicators that rely solely on price movements, the ASO incorporates risk-adjusted performance metrics to identify genuine market extremes based on return quality rather than price volatility alone. The system's adaptive statistical bands and dual-ratio methodology provide institutional-grade signal accuracy suitable for systematic trading approaches across cryptocurrency, forex, and equity markets with comprehensive visual feedback and configurable risk parameters for optimal strategy integration.
אינדיקטור Pine Script®
מאת ‎AlphaExtract‎
2
Ark FCI OscillatorFinancial Conditions Index Oscillator This indicator tracks week-over-week changes in the National Financial Conditions Index (NFCI), providing a dynamic view of evolving financial conditions in the United States. Overview The National Financial Conditions Index (NFCI) is a comprehensive weekly composite index published by the Federal Reserve Bank of Chicago. It measures financial conditions across U.S. money markets, debt and equity markets, and the traditional and shadow banking systems. Interpretation Positive values indicate improving financial conditions Negative values signal deteriorating financial conditions Risk assets demonstrate particular sensitivity to changes in financial conditions, making this oscillator valuable for market timing and risk assessment. Alternative Data Source Users can modify the source to FRED:NFCIRISK to focus specifically on risk dynamics. The NFCIRISK subindex isolates volatility and funding risk measures within the financial sector, capturing market volatility indicators and liquidity shortage probabilities while excluding broader credit and leverage conditions.
אינדיקטור Pine Script®
מאת ‎arkaydeus‎
1
Rolling Performance Toolkit (Returns, Correlation and Sharpe)This script provides a flexible toolkit for evaluating rolling performance metrics between any asset and a benchmark. Features: Library-based: Built on a custom utilities library for consistent return and statistics calculations. Rolling Window Control: Choose the lookback period (in days) to calculate metrics. Multiple Modes: Toggle between Rolling Returns, Rolling Correlation, and Rolling Sharpe Ratio. Benchmark Comparison: Compare your selected ticker against a benchmark (default: S&P 500 / SPX), but you can easily switch to any symbol. Risk-Free Rate Options: Choose from zero, a constant annual % rate, or a proxy symbol (default: US03M – 3-Month Treasury Yield). Annualized Sharpe: Sharpe ratios are annualized by default (×√252) for intuitive interpretation. This tool is useful for traders and investors who want to monitor relative performance, diversification benefits, or risk-adjusted returns over time.
אינדיקטור Pine Script®
מאת ‎villia9‎
Trade Calculator {Phanchai}Trade Calculator 🧮 {Phanchai} — Documentation A lightweight sizing helper for TradingView that turns your risk per trade into an estimated maximum nominal position size — using the most recent chart low as your stop reference. Built for speed and clarity right on the chart. Key Features Clean on-chart info table with configurable font size and position. Row toggles: show/hide each line (Price, Last Low, Risk per Trade, Entry − Low, SL to Low %, Max. Nominal Value in USDT). Configurable low reference: Last N bars or Running since load . Low label placed exactly at the wick of the lowest bar (no horizontal line). Custom padding: add extra rows above/below and blank columns left/right (with custom whitespace/text fillers) to fine-tune layout. Integer display for Risk per Trade (USDT) and Max. Nominal Value (USDT); decimals configurable elsewhere. Open source script — easy to read and extend. How to Use Add the indicator: open TradingView → Indicators → paste the source code → Add to chart. Pick your low reference in settings: Last N bars — uses the lowest low within your chosen lookback. Running since load — tracks the lowest low since the script loaded. Set your capital and risk: Total Capital — your account size in USDT. Max. invest Capital per Trade (%) — your risk per trade as a percent of Total Capital. Tidy the table: Use Table Position and Table Size to place it. Add Extra rows/columns and set left/right fillers (spaces allowed) for padding. Toggle individual rows (on/off) to show only what you need. Read the numbers: Act. Price in USDT — current close. Last Low in USDT — stop reference price. Risk per Trade — whole-USDT value of your risk budget for this trade. Entry − Low — absolute risk per unit. SL to Low (%) — percentage distance from price to low. Max. Nominal Value in USDT — estimated max nominal position size given your risk budget and stop at the low. Scope This calculator is designed for long trades only (stop below price at the chart low). Notes & Assumptions Does not factor fees, funding, slippage, tick size, or broker/venue position limits. “Running since load” updates as new lows appear; “Last N bars” uses only the selected lookback window. If price equals the low (zero distance), sizing will be undefined (division by zero guarded as “—”). Risk Warning Trading involves substantial risk. Always double-check every value the calculator shows, confirm your stop distance, and verify position sizing with your broker/platform before entering any order. Never risk money you cannot afford to lose. Open Source & Feedback The source code is open. If you spot a bug or have an idea to improve the tool, feel free to share suggestions — I’m happy to iterate and make it better.
אינדיקטור Pine Script®
מאת ‎Phanchai‎
EMA Oscillator [Alpha Extract]A precision mean reversion analysis tool that combines advanced Z-score methodology with dual threshold systems to identify extreme price deviations from trend equilibrium. Utilizing sophisticated statistical normalization and adaptive percentage-based thresholds, this indicator provides high-probability reversal signals based on standard deviation analysis and dynamic range calculations with institutional-grade accuracy for systematic counter-trend trading opportunities. 🔶 Advanced Statistical Normalization Calculates normalized distance between price and exponential moving average using rolling standard deviation methodology for consistent interpretation across timeframes. The system applies Z-score transformation to quantify price displacement significance, ensuring statistical validity regardless of market volatility conditions. // Core EMA and Oscillator Calculation ema_values = ta.ema(close, ema_period) oscillator_values = close - ema_values rolling_std = ta.stdev(oscillator_values, ema_period) z_score = oscillator_values / rolling_std 🔶 Dual Threshold System Implements both statistical significance thresholds (±1σ, ±2σ, ±3σ) and percentage-based dynamic thresholds calculated from recent oscillator range extremes. This hybrid approach ensures consistent probability-based signals while adapting to varying market volatility regimes and maintaining signal relevance during structural market changes. // Statistical Thresholds mild_threshold = 1.0 // ±1σ (68% confidence) moderate_threshold = 2.0 // ±2σ (95% confidence) extreme_threshold = 3.0 // ±3σ (99.7% confidence) // Percentage-Based Dynamic Thresholds osc_high = ta.highest(math.abs(z_score), lookback_period) mild_pct_thresh = osc_high * (mild_pct / 100.0) moderate_pct_thresh = osc_high * (moderate_pct / 100.0) extreme_pct_thresh = osc_high * (extreme_pct / 100.0) 🔶 Signal Generation Framework Triggers buy/sell alerts when Z-score crosses extreme threshold boundaries, indicating statistically significant price deviations with high mean reversion probability. The system generates continuation signals at moderate levels and reversal signals at extreme boundaries with comprehensive alert integration. // Extreme Signal Detection sell_signal = ta.crossover(z_score, selected_extreme) buy_signal = ta.crossunder(z_score, -selected_extreme) // Dynamic Color Coding signal_color = z_score >= selected_extreme ? #ff0303 : // Extremely Overbought z_score >= selected_moderate ? #ff6a6a : // Overbought z_score >= selected_mild ? #b86456 : // Mildly Overbought z_score > -selected_mild ? #a1a1a1 : // Neutral z_score > -selected_moderate ? #01b844 : // Mildly Oversold z_score > -selected_extreme ? #00ff66 : // Oversold #00ff66 // Extremely Oversold 🔶 Visual Structure Analysis Provides a six-tier color gradient system with dynamic background zones indicating mild, moderate, and extreme conditions. The histogram visualization displays Z-score intensity with threshold reference lines and zero-line equilibrium context for precise mean reversion timing. snapshot 4H 1D 🔶 Adaptive Threshold Selection Features intelligent threshold switching between statistical significance levels and percentage-based dynamic ranges. The percentage system automatically adjusts to current volatility conditions using configurable lookback periods, while statistical thresholds maintain consistent probability-based signal generation across market cycles. 🔶 Performance Optimization Utilizes efficient rolling calculations with configurable EMA periods and threshold parameters for optimal performance across all timeframes. The system includes comprehensive alert functionality with customizable notification preferences and visual signal overlay options. 🔶 Market Oscillator Interpretation Z-score > +3σ indicates statistically significant overbought conditions with high reversal probability, while Z-score < -3σ signals extreme oversold levels suitable for counter-trend entries. Moderate thresholds (±2σ) capture 95% of normal price distributions, making breaches statistically significant for systematic trading approaches. snapshot 🔶 Intelligent Signal Management Automatic signal filtering prevents false alerts through extreme threshold crossover requirements, while maintaining sensitivity to genuine statistical deviations. The dual threshold system provides both conservative statistical approaches and adaptive market condition responses for varying trading styles. Why Choose EMA Oscillator ? This indicator provides traders with statistically-grounded mean reversion analysis through sophisticated Z-score normalization methodology. By combining traditional statistical significance thresholds with adaptive percentage-based extremes, it maintains effectiveness across varying market conditions while delivering high-probability reversal signals based on quantifiable price displacement from trend equilibrium, enabling systematic counter-trend trading approaches with defined statistical confidence levels and comprehensive risk management parameters.
אינדיקטור Pine Script®
מאת ‎AlphaExtract‎
1
Risk Context + Position SizingWhat This Indicator Does (And Doesn't Do) This is NOT a buy/sell signal indicator. Instead, it's a risk management tool that helps you understand two critical things: How volatile the market is right now (compared to recent history) How much you should risk on your next trade based on that volatility The Core Problem It Solves Imagine you always risk the same amount on every trade - say $100. But sometimes the market is calm and predictable, other times it's wild and unpredictable. This indicator says: "Hey, the market is going crazy right now - maybe only risk $70 instead of your usual $100." How It Works Measures Market "Nervousness" Uses ATR (Average True Range) to measure how much prices typically move each day Compares today's volatility to the past 100 days Shows you a percentile (0-100%) - higher = more volatile Categorizes Risk Environment LOW (green): Market is calm, you can size up slightly NORMAL: Standard conditions, use your normal position size HIGH (red): Market is jumpy, reduce your position size EXTREME (dark red): Market is in chaos, significantly reduce size Important Disclaimers This doesn't predict price direction - it only measures current market stress You still need a trading strategy - this just helps you size it properly Past volatility doesn't guarantee future volatility Always combine with proper stop losses and risk management
אינדיקטור Pine Script®
מאת ‎Mihkel00‎
1
Risk Distribution HistogramStatistical risk visualization and analysis tool for any ticker 📊 The Risk Distribution Histogram visualizes the statistical distribution of different risk metrics for any financial instrument. It converts risk data into histograms with quartile-based color coding, so that traders can understand their risk, tail-risks, exposure patterns and make data-driven decisions based on empirical evidence rather than assumptions. The indicator supports multiple risk calculation methods, each designed for different aspects of market analysis, from general volatility assessment to tail risk analysis. Risk Measurement Methods Standard Deviation Captures raw daily price volatility by measuring the dispersion of price movements. Ideal for understanding overall market conditions and timing volatility-based strategies. Use case: Options trading and volatility analysis. Average True Range (ATR) Measures true range as a percentage of price, accounting for gaps and limit moves. Valuable for position sizing across different price levels. Use case: Position sizing and stop-loss placement. The chart above illustrates how ATR statistical distribution can be used by looking at the ATR % of price distribution. For example, 90% of the movements are below 5%. Downside Deviation Only considers negative price movements, making it ideal for checking downside risk and capital protection rather than capturing upside volatility. Use case: Downside protection strategies and stop losses. Drawdown Analysis Tracks peak-to-trough declines, providing insight into maximum loss potential during different market conditions. Use case: Risk management and capital preservation. The chart above illustrates tale risk for the asset (TQQQ), showing that it is possible to have drawdowns higher than 20%. Entropy-Based Risk (EVaR) Uses information theory to quantify market uncertainty. Higher entropy values indicate more unpredictable price action, valuable for detecting regime changes. Use case: Advanced risk modeling and tail-risk. VIX Histogram Incorporates the market's fear index directly into analysis, showing how current volatility expectations compare to historical patterns. The CAPITALCOM:VIX histogram is independent from the ticker on the chart. Use case: Volatility trading and market timing. Visual Features The histogram uses quartile-based color coding that immediately shows where current risk levels stand relative to historical patterns: Green (Q1): Low Risk (0-25th percentile) Yellow (Q2): Medium-Low Risk (25-50th percentile) Orange (Q3): Medium-High Risk (50-75th percentile) Red (Q4): High Risk (75-100th percentile) The data table provides detailed statistics, including: Count Distribution: Historical observations in each bin PMF: Percentage probability for each risk level CDF: Cumulative probability up to each level Current Risk Marker: Shows your current position in the distribution Trading Applications When current risk falls into upper quartiles (Q3 or Q4), it signals conditions are riskier than 50-75% of historical observations. This guides position sizing and portfolio adjustments. Key applications: Position sizing based on empirical risk distributions Monitoring risk regime changes over time Comparing risk patterns across timeframes Risk distribution analysis improves trade timing by identifying when market conditions favor specific strategies. Enter positions during low-risk periods (Q1) Reduce exposure in high-risk periods (Q4) Use percentile rankings for dynamic stop-loss placement Time volatility strategies using distribution patterns Detect regime shifts through distribution changes Compare current conditions to historical benchmarks Identify outlier events in tail regions Validate quantitative models with empirical data Configuration Options Data Collection Lookback Period: Control amount of historical data analyzed Date Range Filtering: Focus on specific market periods Sample Size Validation: Automatic reliability warnings Histogram Customization Bin Count: 10-50 bins for different detail levels Auto/Manual Bin Width: Optimize for your data range Visual Preferences: Custom colors and font sizes Implementation Guide Start with Standard Deviation on daily charts for the most intuitive introduction to distribution-based risk analysis. Method Selection: Begin with Standard Deviation Setup: Use daily charts with 20-30 bins Interpretation: Focus on quartile transitions as signals Monitoring: Track distribution changes for regime detection The tool provides comprehensive statistics including mean, standard deviation, quartiles, and current position metrics like Z-score and percentile ranking. Enjoy, and please let me know your feedback! 😊🥂
אינדיקטור Pine Script®
מאת ‎HenriqueCentieiro‎
2
NQ Position Size CalculatorNQ Position Size Line Calculator is designed specifically for Nasdaq 100 futures (NQ) and micro futures (MNQ) traders who want to maintain disciplined risk management. This visual tool eliminates the guesswork from position sizing by displaying distance lines and contract calculations directly on your chart. The indicator creates horizontal lines at 10-tick intervals from your stop loss level, showing you exactly how many contracts to trade at each distance to maintain your predetermined risk amount. Whether you're trading regular NQ contracts or micro MNQ contracts, this calculator ensures you never risk more than intended while providing instant visual feedback for optimal position sizing decisions. How to Use the Indicator Step 1: Configure Your Settings Stop Loss Price: Enter your exact stop loss level (e.g., 20000.00) Risk Amount ($): Set your maximum dollar risk per trade (e.g., $500) Contract Type: Choose between: NQ (Regular): $5 per tick - for larger accounts MNQ (Micro): $0.50 per tick - for smaller accounts or conservative sizing Display Options: Max Lines: Number of distance lines to show (default: 30) Show Labels: Toggle tick distance and contract count labels Line Color: Customize the color of distance lines Label Size: Choose tiny, small, or normal label sizes Step 2: Read the Visual Display Once configured, the indicator displays: Stop Loss Line: Thick yellow line marking your exact stop loss level Yellow label showing the stop loss price Distance Lines: Dashed red lines at 10-tick intervals above and below your stop loss Lines appear on both sides for long and short position planning Labels (if enabled): Green labels (right side): For long positions above your stop loss Red labels (left side): For short positions below your stop loss Format: "20T 5x" means 20 ticks distance, 5 contracts maximum Step 3: Use the Information Tables The indicator provides two helpful tables: Position Size Table (top-right): Shows common tick distances (10, 20, 40, 80, 160 ticks) Displays risk per contract at each distance Contract count for your specified risk amount Total risk with rounded contract numbers Settings Table (bottom-right): Confirms your current risk amount Shows selected contract type Displays current settings for quick reference Step 4: Apply to Your Trading For Long Positions: Look at the green labels on the right side of your chart Find your desired entry level Read the label to see: distance in ticks and maximum contracts Example: "30T 8x" = 30 ticks from stop, buy 8 contracts maximum For Short Positions: Look at the red labels on the left side of your chart Find your desired entry level Read the label for tick distance and contract count Example: "40T 6x" = 40 ticks from stop, sell 6 contracts maximum Step 5: Trading Execution Before Entering a Trade: Identify your stop loss level and input it into the indicator Choose your entry point by looking at the distance lines Note the contract count from the corresponding label Verify the risk amount matches your trading plan Execute your trade with the calculated position size Risk Management Features: Contract rounding: All position sizes are rounded down (never up) to ensure you don't exceed your risk limit Zero position filtering: Lines only show where position size is at least 1 contract Dual-sided display: Plan both long and short opportunities simultaneously
אינדיקטור Pine Script®
מאת ‎birdmanx‎
2
Position Size CalculatorIt calculates the risk per trade using two methods: Margin-Based (percentage of total Account Balance) or Equity-Based (percentage of Total Balance minus minimum balance). Displayed as a compact, customizable label on the main chart, it’s perfect for traders seeking quick, precise risk calculations. Key Features Two Calculation Options: Margin-Based: Risk as a percentage (0-5%) of your total account balance. Equity-Based: Risk as a percentage (0-50%) of (Total balance - Minimum balance). Flexible Risk Input: Manually enter any risk percentage with 0.01% precision (e.g., 1.75%). Customizable Display: Repositionable table (9 positions, e.g., top-right, middle-center). Four table sizes (XL, L, M, S) with text scaling (large, normal, small, tiny). Adjustable cell color, text color, and transparency Margin-Based Risk Calculation: Set “Total Margin” (e.g., $10,000). Enter “Risk Percentage (%)” (0 to 5%, e.g., 1.75%). Equity-Based Risk Calculation: Set “Total Equity” (e.g., $15,000). Set “Minimum Balance” (e.g., $5,000). Enter “Equity Risk Percentage (%)” (0 to 50%, e.g., 1.75%). Display Settings: Choose “Calculation Method” (Margin-Based or Equity-Based). Select “Table Position” (e.g., top_right). Select “Table Size” (XL, L, M, S; default M). Customize “Table Cell Color”, “Table Text Color”, and “Table Cell Transparency”.
אינדיקטור Pine Script®
מאת ‎charleyRT‎
Micro Futures Contract Calculator Micro Futures Contract Calculator Synopsis: The Micro Futures Contract Calculator is a sleek, minimalist indicator that calculates the number of Micro E-mini Nasdaq-100 (MNQ) or S&P 500 (MES) contracts you can trade based on a fixed dollar risk and stop-loss (in ticks). Displayed in a compact, professional table in the top-right corner, it shows your risk, stop-loss, contract type, and calculated contracts, helping traders maintain consistent risk management. How to Use: Add the indicator to your chart (search “Micro Futures Contract Calculator”). In settings, input: Maximum Risk ($): Your total risk per trade (e.g., $100). Stop-Loss (Ticks): Stop-loss size in ticks (e.g., 20 ticks = 5 points). Contract Type: Select MNQ or MES. Check the top-right table for: Risk, stop-loss, contract type, and number of contracts (e.g., “10” for MNQ, “4” for MES). Use the contract number to size trades, ensuring risk stays fixed. Why Standardized Risk is Important: Consistency: Fixed risk per trade (e.g., $100) prevents oversized losses, stabilizing long-term performance. Discipline: Removes emotional guesswork, enforcing a systematic approach across MNQ/MES trades. Capital Protection: Limits exposure, preserving your account during losing streaks and volatile markets. Scalability: Aligns position sizing with your risk tolerance, enabling confident scaling as your account grows. This indicator simplifies risk management, making it essential for disciplined futures trading.
אינדיקטור Pine Script®
מאת ‎xxBoomerxx‎
Simple Risk-to-Reward (R) Indicator (TP1–TP2)What this indicator does: This tool helps traders clearly visualize their risk and reward on any trade by plotting their entry, stop loss, and take-profit (TP) levels directly on the chart. It’s designed to make manual trade planning more visual and systematic. How it works: You set your planned entry price, whether you want to plot a Long or Short setup, and your stop-loss distance (in ticks). The indicator calculates your stop-loss level and automatically plots it on the chart. It then draws take-profit levels at 1R and 2R (where “R” is your risk, the distance between entry and stop). You can toggle the TP1 and TP2 lines on or off to suit your preference. How to use it: Open the settings and enter your intended entry price. Select “Long Setup” for a buy trade, or turn it off for a sell/short trade. Enter your desired stop loss in ticks. Choose which take-profit levels to display by toggling TP1 and TP2. The indicator will show entry, stop, and take-profit levels right on your chart so you can easily see your planned risk/reward. What makes it unique and useful: This indicator is designed for manual trade planning, giving you full control over your inputs and letting you instantly see your risk/reward on any instrument or timeframe. Unlike some built-in tools, it supports both long and short trades, lets you set all levels manually, and keeps your charts clean and easy to interpret.
אינדיקטור Pine Script®
מאת ‎JWinters318‎
Correlation MA – 15 Assets + Average (Optional)This indicator calculates the moving average of the correlation coefficient between your charted asset and up to 15 user-selected symbols. It helps identify uncorrelated or inversely correlated assets for diversification, pair trading, or hedging. Features: ✅ Compare your current chart against up to 15 assets ✅ Toggle assets on/off individually ✅ Custom correlation and MA lengths ✅ Real-time average correlation line across enabled assets ✅ Horizontal lines at +1, 0, and -1 for easy visual reference Ideal for: Portfolio diversification analysis Finding low-correlation stocks Mean-reversion & pair trading setups Crypto, equities, ETFs To use: set the benchmark chart (e.g. TSLA), choose up to 15 assets, and adjust settings as needed. Look for assets with correlation near 0 or negative values for uncorrelated performance.
אינדיקטור Pine Script®
מאת ‎GhostPivot‎
2