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Intermarket Analysis ProIntermarket Analysis Pro Indicator Overview The Intermarket Analysis Pro is a sophisticated trading indicator designed for forex traders, integrating technical analysis with comprehensive macroeconomic insights. This tool features Exponential Moving Averages (EMA 10/20) for trend detection, a consolidated table combining timeframe biases, trading signals, and intermarket data, delivering a holistic view to optimize decision-making in volatile markets. Usage Instructions Installation: Access TradingView, navigate to the Pine Editor, paste the script, and save it as "Intermarket_Analysis_Pro". Apply it to your desired forex chart (e.g., EURUSD on a 5-minute timeframe). Configuration: EMA Settings: Select EMA Source as "close" for precise alignment with candle closes, adjust EMA 10 Period (default 10) and EMA 20 Period (default 20) to suit your strategy, and toggle Show EMA Value Labels or Show (B)/(S) Signal Labels for enhanced visibility. Table Settings: Enable Show Combined Table, select Combined Table Position (e.g., "Bottom Right"), and choose Text Size (e.g., "Small") for optimal display. Intermarket Parameters: Fine-tune Bias Threshold (default 0.3) and Score Change Threshold (default 10) to refine intermarket bias sensitivity. Display Options: Switch between "Light" or "Dark" themes to match your chart environment. Signal Interpretation: EMA Indicators: A crossover of EMA 10 (orange) above EMA 20 (blue) signals a potential BUY, while a crossunder indicates a SELL. Confirm with "(B)" or "(S)" labels on the chart. Combined Table: Analyze timeframe biases (e.g., "BULLISH" on 1m), logic signals (e.g., "BUY" on 5m), and intermarket trends (e.g., "EUR Rise (+30)") to align with market conditions. Strategic Application: Utilize on lower timeframes (1m, 5m) for scalping or higher timeframes (1h, 4h) for swing trading. Ensure smooth scrolling to verify EMA and table synchronization with candles. Alert Setup: Configure alerts for "Buy Signal" or "Sell Signal" on your preferred timeframe to receive real-time notifications. Key Features EMA 10/20: Provides customizable short-term trend analysis with optional value labels. Unified Table: Merges SimpleBias (timeframe trends), Logic (trading signals), and Intermarket (global currency, index, and bond movements) into a single, scrollable interface. Intermarket Insights: Evaluates 18 assets (e.g., DXY, SPX500, EUR, XAUUSD) for macroeconomic sentiment, updated hourly with color-coded change indicators. Customization: Offers adjustable positions, sizes, and thresholds to adapt to individual trading preferences. Market Context: Reflects current sentiment, such as a bullish EURUSD trend supported by weak NFP data and hawkish ECB policies (as of July 2025). Best Practices Timeframe Alignment: Match the chart timeframe with your analysis to ensure accurate EMA and table data representation. Optimal Trading Hours: Maximize effectiveness during the NY session (08:00-17:00 EST) when intermarket activity is most pronounced. Troubleshooting: If EMA lags during scrolling, disable labels or reduce additional indicators. Report discrepancies (e.g., "EMA 10 at 1.08840, candle at 1.08850") for further optimization. Additional Notes The Intermarket Analysis Pro is tailored for traders seeking to integrate global sentiment with technical signals. Test thoroughly on a demo account and adjust settings to align with your trading strategy. As of July 5, 2025, 04:04 AM WIB, the market indicates a bullish EURUSD outlook, with intermarket data reinforcing BUY opportunities on lower timeframes.
Penunjuk Pine Script®
oleh milikgroupy_tv
Random Coin Toss Strategy📌 Overview This strategy is a probability-based trading simulation that randomly decides trade direction using a coin-toss mechanism and executes trades with a customizable risk-reward ratio. It's designed primarily for testing entry frequency and risk dynamics, not predictive accuracy. 🎯 Core Concept Every N bars (configurable), the strategy performs a pseudo-random coin toss. Based on the result: If heads → Buy If tails → Sell Once a position is opened, it sets a Stop-Loss (SL) and Take-Profit (TP) based on a multiple of the current ATR (Average True Range) value. ⚙️ Configurable Inputs ATR Length Period for ATR calculation, determines volatility basis. SL Multiplier SL distance = ATR × multiplier (e.g., 1.0 means 1x ATR) . TP Multiplier TP distance = ATR × multiplier (e.g., 2.0 = 2x ATR) . Entry Frequency Bars to wait between each new coin toss decision. Show TP/SL Zones Toggle on/off for drawing visual TP and SL zones. Box Size Number of bars used to define the width of the TP/SL boxes. 🔁 Entry & Exit Logic Entry: Happens only when no current position exists and it's the correct bar interval. Entry direction is randomly decided. Exit: Positions exit at either: Take-Profit (TP) level Stop-Loss (SL) level Both are calculated using the configured ATR-based distances. 🖼️ Visual Features TP and SL zones: Rendered as shaded rectangles (boxes) only once per trade. Green box for TP zone, red box for SL zone. Automatically deleted and redrawn for each new trade to avoid chart clutter. ATR Display Table: A minimal info table at the top-right shows the current ATR value. Updates every few bars for performance. 🧪 Use Cases Ideal for risk-reward modeling, strategy prototyping, and understanding how volatility-based SL/TP behavior affects results. Great for backtesting frequency, RR tweaks (e.g., 2:5 or 3:1), and execution structure in random conditions. ⚠️ Disclaimer Since the trade direction is random, this script is not meant for predictive trading but serves as a powerful experiment framework for studying how SL, TP, and volatility interact with random chance in a controlled, repeatable system.
Strategi Pine Script®
oleh vineeth059
1
VDN2 - SuperTrend + ADX + Stochastic StrategySuperTrend + ADX + Stochastic Overview:
A trend-following and momentum-confirmation strategy using SuperTrend, ADX (>20 filter), and Stochastic oscillator. Optimized for Gold (XAUUSD) on the 10-minute chart. Backtest Highlights (Last 1 Week): Win Rate: 83.3% (5 out of 6 trades) Net Profit: +56.35 USD (1 contract size) Avg Trade Duration: ~58 bars (~9.6 hours) Max Drawdown: 16.65 USD Avg Win: 9.24 USD, Avg Loss: 0.82 USD Largest Single Profit: 23.28 USD Profit Factor: ~11.27 Core Logic: Enter Long when: * SuperTrend is bullish * ADX > 20 * Stochastic %K > %D and %K < 80 Enter Short when: * SuperTrend is bearish * ADX > 20 * Stochastic %K < %D and %K > 20 No fixed TP/SL. Positions closed on signal reversal.
Strategi Pine Script®
oleh vidinozyer
Fast Fourier Transform [ScorsoneEnterprises]The SCE Fast Fourier Transform (FFT) is a tool designed to analyze periodicities and cyclical structures embedded in price. This is a Fourier analysis to transform price data from the time domain into the frequency domain, showing the rhythmic behaviors that are otherwise invisible on standard charts. Instead of merely observing raw prices, this implementation applies the FFT on the logarithmic returns of the asset: Log Return(𝑚) = log⁡(close / close ) This ensures stationarity and stabilizes variance, making the analysis statistically robust and less influenced by trends or large price swings. For a user-defined lookback window 𝑁: Each frequency component 𝑘 is computed by summing real and imaginary projections of log-returns multiplied by complex exponential functions: 𝑒^−𝑖𝜃 = cos⁡(𝜃)−𝑖sin(𝜃) where: θ = 2πkm / N ​he result is the magnitude spectrum, calculated as: Magnitude(𝑘) = sqrt(Real_Sum(𝑘)^2 + Imag_Sum(𝑘)^2) This spectrum represents the strength of oscillations at each frequency over the lookback period, helping traders identify dominant cycles. Visual Analysis & Interpretation To give traders context for the FFT spectrum’s values, this script calculates: 25th Percentile (Purple Line) Represents relatively low cyclical intensity. Values below this threshold may signal quiet, noisy, or trendless periods. 75th Percentile (Red Line) Represents heightened cyclical dominance. Values above this threshold may indicate significant periodic activity and potential trend formation or rhythm in price action. The FFT magnitude of the lowest frequency component (index 0) is plotted directly on the chart in teal. Observing how this signal fluctuates relative to its percentile bands provides a dynamic measure of cyclical market activity. Chart examples In this NYSE:CL chart, we see the regime of the price accurately described in the spectral analysis. We see the price above the 75th percentile continue to trend higher until it breaks back below. In long trending markets like NYSE:PL has been, it can give a very good explanation of the strength. There was confidence to not switch regimes as we never crossed below the 75th percentile early in the move. The script is also usable on the lower timeframes. There is no difference in the usability from the different timeframes. Script Parameters Lookback Value (N) Default: 30 Defines how many bars of data to analyze. Larger N captures longer-term cycles but may smooth out shorter-term oscillations.
Penunjuk Pine Script®
oleh ScorsoneEnterprises
FULLY FUNCTIONAL INDICATOR TESTER🎯 Purpose: A comprehensive strategy testing framework designed to evaluate custom indicators and trading signals with professional-grade risk management and signal detection capabilities. ✨ Key Features: Multiple Signal Detection Methods - Value changes, crossovers, threshold-based triggers Advanced Confluence Filtering - Multi-source confirmation system with lookback periods Professional Risk Management - Static TP/SL, break-even functionality, position sizing Custom Exit Signals - Independent exit logic for refined strategy testing Visual Feedback System - Clear signal plots and real-time status monitoring Flexible Input Sources - Connect any custom indicator or built-in study 🔧 How to Use: Connect your indicator outputs to the Entry/Exit source inputs Select appropriate signal detection method for your indicator type Configure risk parameters (TP/SL/Break-even) Enable confluence filters if needed for additional confirmation Backtest and analyze results with built-in performance metrics 📈 Signal Detection Options: Value Change: Detects when indicator values change Crossover Above/Below: Traditional crossover signals Threshold Triggers: Value-based entry/exit levels ⚙️ Technical Specifications: Compatible with Pine Script v6 Overlay strategy with position tracking Real-time performance monitoring table Configurable margin requirements Full backtesting compatibility ⚠️ Important Notes: This is a testing framework - not financial advice Always validate signals in demo environment first Past performance does not guarantee future results Use proper risk management in live trading 🔄 Updates: Enhanced signal detection algorithms Improved confluence logic Added break-even functionality Visual debugging tools Perfect for traders and developers looking to systematically tes
Strategi Pine Script®
oleh profitgang
Advanced Currency Strength Meter# Advanced Currency Strength Meter (ACSM) The Advanced Currency Strength Meter (ACSM) is a scientifically-based indicator that measures relative currency strength using established academic methodologies from international finance and behavioral economics. This indicator provides traders with a comprehensive view of currency market dynamics through multiple analytical frameworks. ### Theoretical Foundation #### 1. Purchasing Power Parity (PPP) Theory Based on Cassel's (1918) seminal work and refined by Froot & Rogoff (1995), PPP suggests that exchange rates should reflect relative price levels between countries. The ACSM momentum component captures deviations from long-term equilibrium relationships, providing insights into currency misalignments. #### 2. Uncovered Interest Rate Parity (UIP) and Carry Trade Theory Building on Fama (1984) and Lustig et al. (2007), the indicator incorporates volatility-adjusted momentum to capture carry trade flows and interest rate differentials that drive currency strength. This approach helps identify currencies benefiting from interest rate differentials. #### 3. Behavioral Finance and Currency Momentum Following Burnside et al. (2011) and Menkhoff et al. (2012), the model recognizes that currency markets exhibit persistent momentum effects due to behavioral biases and institutional flows. The indicator captures these momentum patterns for trading opportunities. #### 4. Portfolio Balance Theory Based on Branson & Henderson (1985), the relative strength matrix captures how portfolio rebalancing affects currency cross-rates and creates trading opportunities between different currency pairs. ### Technical Implementation #### Core Methodologies: - **Z-Score Normalization**: Following Sharpe (1994), provides statistical significance testing without arbitrary scaling - **Momentum Analysis**: Uses return-based metrics (Jegadeesh & Titman, 1993) for trend identification - **Volatility Adjustment**: Implements Average True Range methodology (Wilder, 1978) for risk-adjusted strength - **Composite Scoring**: Equal-weight methodology to avoid overfitting and maintain robustness - **Correlation Analysis**: Risk management framework based on Markowitz (1952) portfolio theory #### Key Features: - **Multi-Source Data Integration**: Supports OANDA, Futures, and CFD data sources - **Scientific Methodology**: No arbitrary scaling or curve-fitting; all calculations based on established statistical methods - **Comprehensive Dashboard**: Clean, professional table showing currency strengths and best trading pairs - **Alert System**: Automated notifications for strong/weak currency conditions and extreme values - **Best Pair Identification**: Algorithmic detection of highest-potential trading opportunities ### Practical Applications #### For Swing Traders: - Identify currencies in strong uptrends or downtrends - Select optimal currency pairs based on relative strength divergence - Time entries based on momentum convergence/divergence #### For Day Traders: - Use with real-time futures data for intraday opportunities - Monitor currency correlations for risk management - Detect early reversal signals through extreme value alerts #### For Portfolio Managers: - Multi-currency exposure analysis - Risk management through correlation monitoring - Strategic currency allocation decisions ### Visual Design The indicator features a clean, professional dashboard that displays: - **Currency Strength Values**: Each major currency (EUR, GBP, JPY, CHF, AUD, CAD, NZD, USD) with color-coded strength values - **Best Trading Pairs**: Filtered list of highest-potential currency pairs with BUY/SELL signals - **Market Analysis**: Real-time identification of strongest and weakest currencies - **Potential Score**: Quantitative measure of trading opportunity strength ### Data Sources and Latency The indicator supports multiple data sources to accommodate different trading needs: - **OANDA (Delayed)**: Free data with 15-20 minute delay, suitable for swing trading - **Futures (Real-time)**: CME currency futures for real-time analysis - **CFDs**: Alternative real-time data source option ### Mathematical Framework #### Strength Calculation: Momentum = (Price - Price ) / Price * 100 Z-Score = (Price - Mean) / Standard Deviation Volatility-Adjusted = Momentum / ATR-based Volatility Composite = 0.5 * Momentum + 0.3 * Z-Score + 0.2 * Volatility-Adjusted #### USD Strength Derivation: USD strength is calculated as the weighted average of all USD-based pairs, providing a true baseline for relative strength comparison. ### Performance Considerations The indicator is optimized for: - **Computational Efficiency**: Uses Pine Script v6 best practices - **Memory Management**: Appropriate lookback periods and array handling - **Visual Clarity**: Clean table design optimized for both light and dark themes - **Alert Reliability**: Robust signal generation with statistical significance testing ### Limitations and Risk Disclosure - Model performance may vary during extreme market stress (Black Swan events) - Requires stable data feeds for accurate calculations - Not optimized for high-frequency scalping strategies - Central bank interventions may temporarily distort signals - Performance assumes normal market conditions with behavioral adjustments ### Academic References - Branson, W. H., & Henderson, D. W. (1985). "The Specification and Influence of Asset Markets" - Burnside, C., Eichenbaum, M., & Rebelo, S. (2011). "Carry Trade and Momentum in Currency Markets" - Cassel, G. (1918). "Abnormal Deviations in International Exchanges" - Fama, E. F. (1984). "Forward and Spot Exchange Rates" - Froot, K. A., & Rogoff, K. (1995). "Perspectives on PPP and Long-Run Real Exchange Rates" - Jegadeesh, N., & Titman, S. (1993). "Returns to Buying Winners and Selling Losers" - Lustig, H., Roussanov, N., & Verdelhan, A. (2007). "Common Risk Factors in Currency Markets" - Markowitz, H. (1952). "Portfolio Selection" - Menkhoff, L., Sarno, L., Schmeling, M., & Schrimpf, A. (2012). "Carry Trades and Global FX Volatility" - Sharpe, W. F. (1994). "The Sharpe Ratio" - Wilder, J. W. (1978). "New Concepts in Technical Trading Systems" ### Usage Instructions 1. **Setup**: Add the indicator to your chart and select your preferred data source 2. **Currency Selection**: Choose which currencies to analyze (default: all major currencies) 3. **Methodology**: Select calculation method (Composite recommended for most users) 4. **Monitoring**: Watch the dashboard for strength changes and best pair opportunities 5. **Alerts**: Set up notifications for strong/weak currency conditions
Penunjuk Pine Script®
oleh EdgeTools
Logistic Regression ICT FVG🚀 OVERVIEW Welcome to the Logistic Regression Fair Value Gap (FVG) System — a next-gen trading tool that blends precision gap detection with machine learning intelligence. Unlike traditional FVG indicators, this one evolves with each bar of price action, scoring and filtering gaps based on real market behavior. 🔧 CORE FEATURES ✨ Smart Gap Detection Automatically identifies bullish and bearish Fair Value Gaps using volatility-aware candle logic. 📊 Probability-Based Filtering Uses logistic regression to assign each gap a confidence score (0 to 1), showing only high-probability setups. 🔁 Real-Time Retest Tracking Continuously watches how price interacts with each gap to determine if it deserves respect. 📈 Multi-Factor Assessment Evaluates RSI, MACD, and body size at gap formation to build a full context snapshot. 🧠 Self-Learning Engine The logistic regression model updates on each bar using gradient descent, refining its predictions over time. 📢 Built-In Alerts Get instant alerts when a gap forms, gets retested, or breaks. 🎨 Custom Display Options Control the color of bullish/bearish zones, and toggle on/off probability labels for cleaner charts. 🚩 WHAT MAKES IT DIFFERENT This isn’t just another box-drawing indicator. While others mark every imbalance, this system thinks before it draws — using statistical modeling to filter out noise and prioritize high-impact zones. By learning from how price behaves around gaps (not just how they form), it helps you trade only what matters — not what clutters. ⚙️ HOW IT WORKS 1️⃣ Detection FVGs are identified using ATR-based thresholds and sharp wick imbalances. 2️⃣ Behavior Monitoring Every gap is tracked — and if respected enough times, it becomes part of the elite training set. 3️⃣ Context Capture Each new FVG logs RSI, MACD, and body size to provide a feature-rich context for prediction. 4️⃣ Prediction (Logistic Regression) The model predicts how likely the gap is to be respected and assigns it a probability score. 5️⃣ Classification & Alerts Gaps above the threshold are plotted with score labels, and alerts trigger for entry/respect/break. ⚙️ CONFIGURATION PANEL 🔧 System Inputs • Max Retests – How many times a gap must be respected to train the model • Prediction Threshold – Minimum score to show a gap on the chart • Learning Rate – Controls how fast the model adapts (default: 0.009) • Max FVG Lifetime – Expiration duration for unused gaps • Show Historic Gaps – Show/hide expired or invalidated gaps 🎨 Visual Options • Bullish/Bearish Colors – Set gap colors to fit your chart style • Confidence Labels – Show probability scores next to FVGs • Alert Toggles – Enable alerts for:   – New FVG detected   – FVG respected (entry)   – FVG invalidated (break) 💡 WHY LOGISTIC REGRESSION? Traditional FVG tools rely on candle shapes. This system relies on probability — by training on RSI, MACD, and price behavior, it predicts whether a gap will act as a true liquidity zone. Logistic regression lets the system continuously adapt using new data, making it more accurate the longer it runs. That means smarter signals, fewer false positives, and a clearer view of where real opportunities lie.
Penunjuk Pine Script®
oleh PalgoTrading
KumoFlow Pro v1.0📌 Strategy Description: KumoFlow Pro v1.0 KumoFlow Pro is a momentum strategy that fuses the classic Ichimoku system with modern volume-based confirmations: VWMA (Volume Weighted Moving Average) and CMF (Chaikin Money Flow). It focuses not only on trend direction but also on whether the move is supported by genuine volume, enabling trades only on high-conviction breakouts. 🔍 Key Components: - 🔹 Ichimoku: Captures trend direction, momentum, and support/resistance zones. - 🔸 VWMA: Adds weight to volume-backed price moves and filters out weak breakouts. - 🔸 CMF: Confirms the presence of real capital flow in the trade direction. - 🔁 Trailing Stop: Dynamic exit mechanism that locks in profit once the trade is in gain. It is % based and adapts to price behavior. 🎯 Purpose of This Setup: - Capitalize on short-term volatility - Catch early breakouts with volume confirmation - Preserve profits with precision via trailing exit ⚙️ OPTIMIZED PARAMETERS (BTC / 30MIN CHART): - Ichimoku Tenkan/Kijun: 5 / 15 - Senkou B: 30 - VWMA & CMF Length: 10 - Trailing Trigger: 1.5% - Trailing Offset: 1.0% ⚠️ DISCLAIMER: This setup is tuned for fast-paced environments and frequent entries. It may produce false signals in choppy conditions. Please test and validate on demo or historical charts before live use. 🔧 All parameters are fully user-adjustable from the input panel. You may customize it for different timeframes or assets.
Strategi Pine Script®
oleh ALCIVOOO
Stochastic Money Flow IndexThe Stochastic Money Flow Index (or Stochastic MFI ), is a variation of the classic Stochastic RSI that uses the Money Flow Index (MFI) rather than the Relative Strength Index (RSI) in its calculation. While the RSI focuses solely on price momentum, the MFI is a volume-weighted indicator, meaning it incorporates both price and volume data. The Stochastic MFI is intended to provide a more precise and sensitive reading of the MFI by measuring the level of the MFI relative to its range over a specific period. Settings Stochastic Settings %K Length : The number of periods used to calculate the Stochastic. (Default: 14) %K Smoothing : The SMA length used to 'smooth' the %K line. (Default: 3) %D Smoothing : The SMA length used to 'smooth' the %D line. (Default: 1) Money Flow Index Settings MFI Length : The number of periods used to calculate the Money Flow Index. (Default: 14) MFI Source : The source used to calculate the Money Flow Index. (Default: close) Additional Settings Show Overbought/Oversold Gradients? : Toggle the display of overbought/oversold gradients. (Default: true)
Penunjuk Pine Script®
oleh iambrennanwalsh
Range Bar Gaps DetectorRange Bar Gaps Detector Overview The Range Bar Gaps Detector identifies price gaps across multiple range bar sizes (12, 24, 60, and 120) on any trading instrument, helping traders spot potential support/resistance zones or breakout opportunities. Designed for Pine Script v6, this indicator detects gaps on range bars and exports data for use in companion scripts like Range Bar Gaps Overlap, making it ideal for multi-timeframe gap analysis. Key Features Multi-Range Gap Detection: Identifies gaps on 12, 24, 60, and 120-range bars, capturing both bullish (gap up) and bearish (gap down) price movements. Customizable Sensitivity: Includes a user-defined minimum deviation (default: 10% of 14-period SMA) for 12-range gaps to filter out noise. 7-Day Lookback: Automatically prunes gaps older than 7 days to focus on recent, relevant price levels. Data Export: Serializes up to 10 gaps per range (tops, bottoms, start bars, highest/lowest prices, and age) for seamless integration with overlap analysis scripts. Debugging Support: Plots gap counts and aggregation data in the Data Window for easy verification of detected gaps. How It Works The indicator aggregates price movements to simulate higher range bars (24, 60, 120) from a base range bar chart. It detects gaps when the price jumps significantly between bars, ensuring gaps meet the minimum deviation threshold for 12-range bars. Gaps are stored in arrays, serialized for external use, and pruned after 7 days to maintain efficiency. Usage Add to your range bar chart (e.g., 12-range) to detect gaps across multiple ranges. Use alongside the Range Bar Gaps Overlap indicator to visualize gaps and their overlaps as boxes on the chart. Check the Data Window to confirm gap counts and sizes for each range (12, 24, 60, 120). Adjust the "Minimal Deviation (%) for 12-Range" input to control gap detection sensitivity. Settings Minimal Deviation (%) for 12-Range: Set the minimum gap size for 12-range bars (default: 10% of 14-period SMA). Range Sizes: Fixed at 24, 60, and 120 for higher range bar aggregation. Notes Ensure the script is published under your TradingView username (e.g., GreenArrow2005) for use with companion scripts. Best used on range bar charts to maintain consistent gap detection. For advanced overlap analysis, pair with the Range Bar Gaps Overlap indicator to highlight zones where gaps from different ranges align. Ideal For Traders seeking to identify key price levels for support/resistance or breakout strategies. Multi-timeframe analysts combining gap data across various range bar sizes. Developers building custom indicators that leverage gap data for advanced charting.
Penunjuk Pine Script®
oleh GreenArrow2005
Enhanced Ichimoku Cloud Strategy V1 [Quant Trading]Overview This strategy combines the powerful Ichimoku Kinko Hyo system with a 171-period Exponential Moving Average (EMA) filter to create a robust trend-following approach. The strategy is designed for traders seeking to capitalize on strong momentum moves while using the Ichimoku cloud structure to identify optimal entry and exit points. This is a patient, low-frequency trading system that prioritizes quality over quantity. In backtesting on Solana, the strategy achieved impressive results with approximately 3600% profit over just 29 trades, demonstrating its effectiveness at capturing major trend movements rather than attempting to profit from every market fluctuation. The extended parameters and strict entry criteria are specifically optimized for Solana's price action characteristics, making it well-suited for traders who prefer fewer, higher-conviction positions over high-frequency trading approaches. What Makes This Strategy Original This implementation enhances the traditional Ichimoku system by: Custom Ichimoku Parameters: Uses non-standard periods (Conversion: 7, Base: 211, Lagging Span 2: 120, Displacement: 41) optimized for different market conditions EMA Confirmation Filter: Incorporates a 171-period EMA as an additional trend confirmation layer State Memory System: Implements a sophisticated memory system to track buy/sell states and prevent false signals Dual Trade Modes: Offers both traditional Ichimoku signals ("Ichi") and cloud-based signals ("Cloud") Breakout Confirmation: Requires price to break above the 25-period high for long entries How It Works Core Components Ichimoku Elements: -Conversion Line (Tenkan-sen): 7-period Donchian midpoint -Base Line (Kijun-sen): 211-period Donchian midpoint -Span A (Senkou Span A): Average of Conversion and Base lines, plotted 41 periods ahead -Span B (Senkou Span B): 120-period Donchian midpoint, plotted 41 periods ahead -Lagging Span (Chikou Span): Current close plotted 41 periods back EMA Filter: 171-period EMA acts as a long-term trend filter Entry Logic (Ichi Mode - Default) A long position is triggered when ALL conditions are met: Cloud Bullish: Span A > Span B (41 periods ago) Breakout Confirmation: Current close > 25-period high Ichimoku Bullish: Conversion Line > Base Line Trend Alignment: Current close > 171-period EMA State Memory: No previous buy signal is still active Exit Logic Positions are closed when: Ichimoku Bearish: Conversion Line < Base Line Alternative Cloud Mode When "Cloud" mode is selected, the strategy uses: Entry: Span A crosses above Span B with additional cloud and EMA confirmations Exit: Span A crosses below Span B with cloud and EMA confirmations Default Settings Explained Strategy Properties Initial Capital: $1,000 (realistic for average traders) Position Size: 100% of equity (appropriate for backtesting single-asset strategies) Commission: 0.1% (realistic for most brokers) Slippage: 3 ticks (accounts for realistic execution costs) Date Range: January 1, 2018 to December 31, 2069 Key Parameters Conversion Periods: 7 (faster than traditional 9, more responsive to price changes) Base Periods: 211 (much longer than traditional 26, provides stronger trend confirmation) Lagging Span 2 Periods: 120 (custom period for stronger support/resistance levels) Displacement: 41 (projects cloud further into future than standard 26) EMA Period: 171 (long-term trend filter, approximately 8.5 months of daily data) How to Use This Strategy Best Market Conditions Trending Markets: Works best in clearly trending markets where the cloud provides strong directional bias Medium to Long-term Timeframes: Optimized for daily charts and higher timeframes Volatile Assets: The breakout confirmation helps filter out weak signals in choppy markets Risk Management The strategy uses 100% equity allocation, suitable for backtesting single strategies Consider reducing position size when implementing with real capital Monitor the 25-period high breakout requirement as it may delay entries in fast-moving markets Visual Elements Green/Red Cloud: Shows bullish/bearish cloud conditions Yellow Line: Conversion Line (Tenkan-sen) Blue Line: Base Line (Kijun-sen) Orange Line: 171-period EMA trend filter Gray Line: Lagging Span (Chikou Span) Important Considerations Limitations Lagging Nature: Like all Ichimoku strategies, signals may lag significant price moves Whipsaw Risk: Extended periods of consolidation may generate false signals Parameter Sensitivity: Custom parameters may not work equally well across all market conditions Backtesting Notes Results are based on historical data and past performance does not guarantee future results The strategy includes realistic slippage and commission costs Default settings are optimized for backtesting and may need adjustment for live trading Risk Disclaimer This strategy is for educational purposes only and should not be considered financial advice. Always conduct your own analysis and risk management before implementing any trading strategy. The unique parameter combinations used may not be suitable for all market conditions or trading styles. Customization Options Trade Mode: Switch between "Ichi" and "Cloud" signal generation Short Trading: Option to enable short positions (disabled by default) Date Range: Customize backtesting period All Ichimoku Parameters: Fully customizable for different market conditions This enhanced Ichimoku implementation provides a structured approach to trend following while maintaining the flexibility to adapt to different trading styles and market conditions.
Strategi Pine Script®
oleh Quant_Trading_Pro
Fear and Greed Index [DunesIsland]The Fear and Greed Index is a sentiment indicator designed to measure the emotions driving the stock market, specifically investor fear and greed. Fear represents pessimism and caution, while greed reflects optimism and risk-taking. This indicator aggregates multiple market metrics to provide a comprehensive view of market sentiment, helping traders and investors gauge whether the market is overly fearful or excessively greedy.How It WorksThe Fear and Greed Index is calculated using four key market indicators, each capturing a different aspect of market sentiment: Market Momentum (30% weight) Measures how the S&P 500 (SPX) is performing relative to its 125-day simple moving average (SMA). A higher value indicates that the market is trading well above its moving average, signaling greed. Stock Price Strength (20% weight) Calculates the net number of stocks hitting 52-week highs minus those hitting 52-week lows on the NYSE. A greater number of net highs suggests strong market breadth and greed. Put/Call Options (30% weight) Uses the 5-day average of the put/call ratio. A lower ratio (more call options being bought) indicates greed, as investors are betting on rising prices. Market Volatility (20% weight) Utilizes the VIX index, which measures market volatility. Lower volatility is associated with greed, as investors are less fearful of large market swings. Each component is normalized using a z-score over a 252-day lookback period (approximately one trading year) and scaled to a range of 0 to 100. The final Fear and Greed Index is a weighted average of these four components, with the weights specified above.Key FeaturesIndex Range: The index value ranges from 0 to 100: 0–25: Extreme Fear (red) 25–50: Fear (orange) 50–75: Neutral (yellow) 75–100: Greed (green) Dynamic Plot Color: The plot line changes color based on the index value, visually indicating the current sentiment zone. Reference Lines: Horizontal lines are plotted at 0, 25, 50, 75, and 100 to represent the different sentiment levels: Extreme Fear, Fear, Neutral, Greed, and Extreme Greed. How to Interpret Low Values (0–25): Indicate extreme fear, which may suggest that the market is oversold and could be due for a rebound. High Values (75–100): Indicate greed, which may signal that the market is overbought and could be at risk of a correction. Neutral Range (25–75): Suggests a balanced market sentiment, neither overly fearful nor greedy. This indicator is a valuable tool for contrarian investors, as extreme readings often precede market reversals. However, it should be used in conjunction with other technical and fundamental analysis tools for a well-rounded view of the market.
Penunjuk Pine Script®
oleh dunesisland
Painel de Velas 1H e 2H + Grade DiáriaIndicator Description "1H and 2H Candlestick Panel + Daily Grid" Overview This advanced indicator for TradingView combines a candlestick information panel on multiple timeframes with a daily grid of supports and resistances, providing a complete market overview for intraday and swing trading. Main Features 1. Automatic Daily Grid Previous Close Line: Highlighted red line marking the previous day's close. Support/Resistance Grid: 4 lines above (blue) and 4 lines below (gold) the previous close, spaced according to a configurable distance. Automatic update at the beginning of each new day. Customizable distance between lines in the inputs. 2. Multi-Timeframe Candlestick Panel Information table in the upper right corner with data from: Included timeframes: Current, 30M, 1H, 2H, 3H, 4H, 6H, 12H and Daily (1D). Displayed information: Open and Close Price difference (value and color according to direction) Candle type (Positive/Negative) Time remaining until candlestick close (HH:MM:SS format) 3. Confluence Signals Buy Alert: When all candlesticks (from current to daily) are positive. Sell Alert: When all candlesticks (from current to daily) are negative. Visual signals: Buy/sell arrows on the chart and configurable alerts. Customizable Settings Grid Distance (Dots): Adjust the distance between daily support/resistance lines. How to Use Daily Grid: Use the blue lines (above) as potential resistance and the gold ones (below) as support. The red line (previous close) is a key level for analysis. Candlestick Panel: Monitor the direction of candlesticks on different timeframes to identify trends. Use the remaining time to plan entries before the close of important candlesticks. Confluence Signals: Trade in the direction of confluence when all timeframes are aligned (buy or sell). Benefits ✔ Efficient multi-timeframe analysis ✔ Visual identification of support/resistance zones ✔ Automatic alerts for strong setups ✔ Easy grid customization Ideal for traders who trade based on price action and timeframe confluence!
Penunjuk Pine Script®
oleh itasouza
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
Penunjuk Pine Script®
oleh birdmanx
EMAREVEX: Adaptive Multi-Timeframe Mean Reversion 📘 Strategy Overview: EMAREVEX EMAREVEX (EMA Reversion Expert) is a professionally engineered mean-reversion strategy tailored for BTC/USDT, optimized specifically for the 15-minute and 30-minute timeframes. It combines: - Multi-timeframe EMA200 trend filtering (15m & 30m) - Bollinger Band lower/upper breaches as reversion anchors - RSI-based confirmation for oversold/overbought conditions - A trailing stop-loss mechanism that activates only after volatility surpasses a configurable ATR threshold, then dynamically tracks price This setup targets short-term pullback opportunities in volatile intraday environments. 🔬 Designed for quant-informed traders who seek precision entries and dynamic exit control. ⚠️ Warning: This strategy is optimized on historical data. It should not be used without discretionary confirmation, appropriate risk management, and forward-testing under live market conditions.
Strategi Pine Script®
oleh ALCIVOOO
Momentum SNR VIP [3 TP + Max 50 Pip SL]//@version=6 indicator("Momentum SNR VIP ", overlay=true) // === Settings === pip = input.float(0.0001, "Pip Size", step=0.0001) sl_pip = 50 * pip tp1_pip = 40 * pip tp2_pip = 70 * pip tp3_pip = 100 * pip lookback = input.int(20, "Lookback for S/R", minval=5) // === SNR === pivotHigh = ta.pivothigh(high, lookback, lookback) pivotLow = ta.pivotlow(low, lookback, lookback) supportZone = not na(pivotLow) resistanceZone = not na(pivotHigh) plotshape(supportZone, title="Support", location=location.belowbar, color=color.blue, style=shape.triangleup, size=size.tiny) plotshape(resistanceZone, title="Resistance", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.tiny) // === Price Action === bullishEngulfing = close < open and close > open and close > open and open <= close bearishEngulfing = close > open and close < open and close < open and open >= close bullishPinBar = close < open and (low - math.min(open, close)) > 1.5 * math.abs(close - open) bearishPinBar = close > open and (high - math.max(open, close)) > 1.5 * math.abs(close - open) buySignal = supportZone and (bullishEngulfing or bullishPinBar) sellSignal = resistanceZone and (bearishEngulfing or bearishPinBar) // === SL & TP === rawBuySL = low - 10 * pip buySL = math.max(close - sl_pip, rawBuySL) buyTP1 = close + tp1_pip buyTP2 = close + tp2_pip buyTP3 = close + tp3_pip rawSellSL = high + 10 * pip sellSL = math.min(close + sl_pip, rawSellSL) sellTP1 = close - tp1_pip sellTP2 = close - tp2_pip sellTP3 = close - tp3_pip // === Plot Lines === plot(buySignal ? buySL : na, title="Buy SL", color=color.red, style=plot.style_line, linewidth=1) plot(buySignal ? buyTP1 : na, title="Buy TP1", color=color.green, style=plot.style_line, linewidth=1) plot(buySignal ? buyTP2 : na, title="Buy TP2", color=color.green, style=plot.style_line, linewidth=1) plot(buySignal ? buyTP3 : na, title="Buy TP3", color=color.green, style=plot.style_line, linewidth=1) plot(sellSignal ? sellSL : na, title="Sell SL", color=color.red, style=plot.style_line, linewidth=1) plot(sellSignal ? sellTP1 : na, title="Sell TP1", color=color.green, style=plot.style_line, linewidth=1) plot(sellSignal ? sellTP2 : na, title="Sell TP2", color=color.green, style=plot.style_line, linewidth=1) plot(sellSignal ? sellTP3 : na, title="Sell TP3", color=color.green, style=plot.style_line, linewidth=1) // === Floating Labels on Right Side === if buySignal label.new(x=bar_index + 50, y=buySL, text="SL", style=label.style_label_right, color=color.red, textcolor=color.white) label.new(x=bar_index + 50, y=buyTP1, text="TP1", style=label.style_label_right, color=color.green, textcolor=color.white) label.new(x=bar_index + 50, y=buyTP2, text="TP2", style=label.style_label_right, color=color.green, textcolor=color.white) label.new(x=bar_index + 50, y=buyTP3, text="TP3", style=label.style_label_right, color=color.green, textcolor=color.white) if sellSignal label.new(x=bar_index + 50, y=sellSL, text="SL", style=label.style_label_right, color=color.red, textcolor=color.white) label.new(x=bar_index + 50, y=sellTP1, text="TP1", style=label.style_label_right, color=color.green, textcolor=color.white) label.new(x=bar_index + 50, y=sellTP2, text="TP2", style=label.style_label_right, color=color.green, textcolor=color.white) label.new(x=bar_index + 50, y=sellTP3, text="TP3", style=label.style_label_right, color=color.green, textcolor=color.white) // === Signal Markers === plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") // === Alerts === alertcondition(buySignal, title="Buy Alert", message="🟢 BUY at Support Zone + Price Action") alertcondition(sellSignal, title="Sell Alert", message="🟡 SELL at Resistance Zone + Price Action")
Penunjuk Pine Script®
oleh shakalss7
SuperTrend + ADX + Stochastic Stratejisi SuperTrend + ADX + Stochastic Overview:
A trend-following and momentum-confirmation strategy using SuperTrend, ADX (>20 filter), and Stochastic oscillator. Optimized for Gold (XAUUSD) on the 10-minute chart. Backtest Highlights (Last 1 Week): Win Rate: 83.3% (5 out of 6 trades) Net Profit: +56.35 USD (1 contract size) Avg Trade Duration: ~58 bars (~9.6 hours) Max Drawdown: 16.65 USD Avg Win: 9.24 USD, Avg Loss: 0.82 USD Largest Single Profit: 23.28 USD Profit Factor: ~11.27 Core Logic: Enter Long when: * SuperTrend is bullish * ADX > 20 * Stochastic %K > %D and %K < 80 Enter Short when: * SuperTrend is bearish * ADX > 20 * Stochastic %K < %D and %K > 20 No fixed TP/SL. Positions closed on signal reversal.
Strategi Pine Script®
oleh vidinozyer
Weekly Volume USDT## Description This Pine Script indicator displays the trading volume for each day of the current week (Monday through Sunday) in a clean table format on your TradingView chart. The volume is calculated in USDT equivalent and displayed in the top-right corner of the chart. ## Features - **Weekly Volume Breakdown**: Shows individual daily volumes from Monday to Sunday - **USDT Conversion**: Automatically converts volume to USDT using the average price (open + close / 2) - **Smart Formatting**: - Large numbers are formatted with K (thousands) and M (millions) suffixes - Example: 1,234,567 → 1.23M USDT - **Clean Table Display**: Fixed position table in the top-right corner - **Current Week Focus**: Displays volumes for the current week only - **Future Days Handling**: Days that haven't occurred yet in the current week show as "-" ## How It Works 1. The indicator calculates the average price for each day using (Open + Close) / 2 2. Multiplies the daily volume by the average price to get USDT-equivalent volume 3. Displays the results in an easy-to-read table format ## Use Cases - **Volume Analysis**: Quickly identify which days of the week have the highest trading activity - **Pattern Recognition**: Spot weekly volume patterns and trends - **Trading Decisions**: Use volume information to inform your trading strategies - **Market Activity Monitoring**: Keep track of market participation throughout the week ## Installation Simply add this indicator to your TradingView chart and it will automatically display the weekly volume table in the top-right corner. ## Tags #volume #weekly #USDT #table #analysis #trading #cryptocurrency
Penunjuk Pine Script®
oleh nooptr
VDN1 - T3 Tilson + IFT + ATRThis strategy combines three powerful indicators to create a high-quality and low-noise trading system: 🔹 T3 Tilson: Serves as the main trend indicator. It reacts smoothly to market direction changes while reducing noise. 🔹 Inverse Fisher Transform of RSI: A momentum filter that sharpens the signal precision. Only trades in the direction of positive or negative momentum. 🔹 ATR Filter: Avoids entries during low volatility (sideways) periods. Ensures the market is active enough before executing trades. Core Logic: * Long Entry: T3 Tilson rising + IFT(RSI) > 0 + ATR > threshold * Short Entry: T3 Tilson falling + IFT(RSI) < 0 + ATR > threshold * All trades use a fixed size of 1 unit for consistent risk evaluation. Performance Notes: * Works exceptionally well on index futures (e.g., NAS100, US30, GER40) * Shows low drawdown and high profit factor (PF > 3) on those assets * Also performs decently on XAUUSD, even with only \~32% win rate — thanks to favorable risk/reward * BTC and ETH may require modified versions due to higher volatility and whipsaws This is a master version — clean, unoptimized, and stable. Use this as a core engine to build and test enhanced versions (e.g., with TP/SL, dynamic filters, etc.) Happy testing and trading!
Strategi Pine Script®
oleh vidinozyer