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Strategy Stats [presentTrading]Hello! it's another weekend. This tool is a strategy performance analysis tool. Looking at the TradingView community, it seems few creators focus on this aspect. I've intentionally created a shared version. Welcome to share your idea or question on this. █ Introduction and How it is Different Strategy Stats is a comprehensive performance analytics framework designed specifically for trading strategies. Unlike standard strategy backtesting tools that simply show cumulative profits, this analytics suite provides real-time, multi-timeframe statistical analysis of your trading performance. Multi-timeframe analysis: Automatically tracks performance metrics across the most recent time periods (last 7 days, 30 days, 90 days, 1 year, and 4 years) Advanced statistical measures: Goes beyond basic metrics to include Information Coefficient (IC) and Sortino Ratio Real-time feedback: Updates performance statistics with each new trade Visual analytics: Color-coded performance table provides instant visual feedback on strategy health Integrated risk management: Implements sophisticated take profit mechanisms with 3-step ATR and percentage-based exits BTCUSD Performance The table in the upper right corner is a comprehensive performance dashboard showing trading strategy statistics. Note: While this presentation uses Vegas SuperTrend as the underlying strategy, this is merely an example. The Stats framework can be applied to any trading strategy. The Vegas SuperTrend implementation is included solely to demonstrate how the analytics module integrates with a trading strategy. ⚠️ Timeframe Limitations Important: TradingView's backtesting engine has a maximum storage limit of 10,000 bars. When using this strategy stats framework on smaller timeframes such as 1-hour or 2-hour charts, you may encounter errors if your backtesting period is too long. Recommended Timeframe Usage: Ideal for: 4H, 6H, 8H, Daily charts and above May cause errors on: 1H, 2H charts spanning multiple years Not recommended for: Timeframes below 1H with long history █ Strategy, How it Works: Detailed Explanation The Strategy Stats framework consists of three primary components: statistical data collection, performance analysis, and visualization. 🔶 Statistical Data Collection The system maintains several critical data arrays: equityHistory: Tracks equity curve over time tradeHistory: Records profit/loss of each trade predictionSignals: Stores trade direction signals (1 for long, -1 for short) actualReturns: Records corresponding actual returns from each trade For each closed trade, the system captures: float tradePnL = strategy.closedtrades.profit(tradeIndex) float tradeReturn = strategy.closedtrades.profit_percent(tradeIndex) int tradeType = entryPrice < exitPrice ? 1 : -1 // Direction 🔶 Performance Metrics Calculation The framework calculates several key performance metrics: Information Coefficient (IC): The correlation between prediction signals and actual returns, measuring forecast skill. IC = Correlation(predictionSignals, actualReturns) Where Correlation is the Pearson correlation coefficient: Correlation(X,Y) = (nΣXY - ΣXY) / √ Sortino Ratio: Measures risk-adjusted return focusing only on downside risk: Sortino = (Avg_Return - Risk_Free_Rate) / Downside_Deviation Where Downside Deviation is: Downside_Deviation = √ R_i represents individual returns, T is the target return (typically the risk-free rate), and n is the number of observations. Maximum Drawdown: Tracks the largest percentage drop from peak to trough: DD = (Peak_Equity - Trough_Equity) / Peak_Equity * 100 🔶 Time Period Calculation The system automatically determines the appropriate number of bars to analyze for each timeframe based on the current chart timeframe: bars_7d = math.max(1, math.round(7 * barsPerDay)) bars_30d = math.max(1, math.round(30 * barsPerDay)) bars_90d = math.max(1, math.round(90 * barsPerDay)) bars_365d = math.max(1, math.round(365 * barsPerDay)) bars_4y = math.max(1, math.round(365 * 4 * barsPerDay)) Where barsPerDay is calculated based on the chart timeframe: barsPerDay = timeframe.isintraday ? 24 * 60 / math.max(1, (timeframe.in_seconds() / 60)) : timeframe.isdaily ? 1 : timeframe.isweekly ? 1/7 : timeframe.ismonthly ? 1/30 : 0.01 🔶 Visual Representation The system presents performance data in a color-coded table with intuitive visual indicators: Green: Excellent performance Lime: Good performance Gray: Neutral performance Orange: Mediocre performance Red: Poor performance █ Trade Direction The Strategy Stats framework supports three trading directions: Long Only: Only takes long positions when entry conditions are met Short Only: Only takes short positions when entry conditions are met Both: Takes both long and short positions depending on market conditions █ Usage To effectively use the Strategy Stats framework: Apply to existing strategies: Add the performance tracking code to any strategy to gain advanced analytics Monitor multiple timeframes: Use the multi-timeframe analysis to identify performance trends Evaluate strategy health: Review IC and Sortino ratios to assess predictive power and risk-adjusted returns Optimize parameters: Use performance data to refine strategy parameters Compare strategies: Apply the framework to multiple strategies to identify the most effective approach For best results, allow the strategy to generate sufficient trade history for meaningful statistical analysis (at least 20-30 trades). █ Default Settings The default settings have been carefully calibrated for cryptocurrency markets: Performance Tracking: Time periods: 7D, 30D, 90D, 1Y, 4Y Statistical measures: Return, Win%, MaxDD, IC, Sortino Ratio IC color thresholds: >0.3 (green), >0.1 (lime), <-0.1 (orange), <-0.3 (red) Sortino color thresholds: >1.0 (green), >0.5 (lime), <0 (red) Multi-Step Take Profit: ATR multipliers: 2.618, 5.0, 10.0 Percentage levels: 3%, 8%, 17% Short multiplier: 1.5x (makes short take profits more aggressive) Stop loss: 20%
Pine Script® strategy
by PresentTrading
2
RSI STRATEGY WITH TRENDLINE & BUY SELL SIGNALSCore Concepts: * Relative Strength Index (RSI): * The RSI is a momentum oscillator that measures the speed and change of price movements. * It oscillates between 0 and 100. * Typically, RSI values above 70 are considered overbought, and values below 30 are considered oversold. * We use the RSI to identify potential reversals and overbought/oversold conditions. * Trendlines: * Trendlines are lines drawn on a chart to connect a series of price highs (downtrend) or lows (uptrend). * They help identify the prevailing trend's direction and potential support/resistance levels. * Trendlines are used to confirm the signals generated by the RSI. RSI Strategy with Trendline Confirmation: This strategy aims to combine the momentum insights of the RSI with the trend confirmation provided by trendlines. Buy Signal: * RSI Oversold: The RSI dips below a specified oversold level (e.g., 30). * Uptrend Confirmation: * An uptrend line is drawn connecting a series of rising lows. * The price breaks above the uptrend line, or the price bounces from the uptrend line. * RSI Crossover: The RSI crosses back above the oversold level, indicating a potential upward momentum shift. * Buy Entry: Enter a long position when all three conditions are met. Sell Signal: * RSI Overbought: The RSI rises above a specified overbought level (e.g., 70). * Downtrend Confirmation: * A downtrend line is drawn connecting a series of falling highs. * The price breaks below the downtrend line, or the price bounces from the downtrend line. * RSI Crossover: The RSI crosses back below the overbought level, indicating a potential downward momentum shift. * Sell Entry: Enter a short position when all three conditions are met. TradingView Indicator
Pine Script® indicator
by AAK216
16
External Signals Strategy TesterExternal Signals Strategy Tester This strategy is designed to help you backtest external buy/sell signals coming from another indicator on your chart. It is a flexible and powerful tool that allows you to simulate real trading based on signals generated by any indicator, using input.source connections. 🔧 How It Works Instead of generating signals internally, this strategy listens to two external input sources: One for buy signals One for sell signals These sources can be connected to the plots from another indicator (for example, custom indicators, signal lines, or logic-based plots). To use this: Add your indicator to the chart (it must be visible on the same pane as this strategy). Open the settings of the strategy. In the fields Buy Signal and Sell Signal, select the appropriate plot (line, value, etc.) from the indicator that represents the buy/sell logic. The strategy will open positions when the selected buy signal crosses above 0, and sell signal crosses above 0. This logic can be easily adapted by modifying the crossover rule inside the script if your signal style is different. ⚙️ Features Included ✅ Configurable trade direction: You can choose whether to allow long trades, short trades, or both. ✅ Optional close on opposite signal: When enabled, the strategy will exit the current position if an opposite signal appears. ✅ Optional full position reversal: When enabled, the strategy will close the current position and immediately open an opposite one on the reverse signal. ✅ Risk Management Tools: You can define: Take Profit (TP): Position will be closed once the specified profit (in %) is reached. Stop Loss (SL): Position will be closed if the price drops to the specified loss level (in %). BreakEven (BE): Once the specified profit threshold is reached, the strategy will move the stop-loss to the entry price. 📌 If any of these values (TP, SL, BE) are set to 0, the feature is disabled and will not be applied. 🧪 Best Use Cases Backtesting signals from custom indicators, without rewriting the logic into a strategy. Comparing the performance of different signal sources. Testing external indicators with optional position management logic. Validating strategies using external filters, oscillators, or trend signals. 📌 Final Notes You can visualize where the strategy detected buy/sell signals using green/red markers on the chart. All parameters are customizable through the strategy settings panel. This strategy does not repaint, and it processes signals in real-time only (no lookahead bias).
Pine Script® strategy
by RezzoRedPriest
2
Auto TrendLines [TradingFinder] Support Resistance Signal Alerts🔵 Introduction The trendline is one of the most essential tools in technical analysis, widely used in financial markets such as Forex, cryptocurrency, and stocks. A trendline is a straight line that connects swing highs or swing lows and visually indicates the market’s trend direction. Traders use trendlines to identify price structure, the strength of buyers and sellers, dynamic support and resistance zones, and optimal entry and exit points. In technical analysis, trendlines are typically classified into three categories: uptrend lines (drawn by connecting higher lows), downtrend lines (formed by connecting lower highs), and sideways trends (moving horizontally). A valid trendline usually requires at least three confirmed touchpoints to be considered reliable for trading decisions. Trendlines can serve as the foundation for a variety of trading strategies, such as the trendline bounce strategy, valid breakout setups, and confluence-based analysis with other tools like candlestick patterns, divergences, moving averages, and Fibonacci levels. Additionally, trendlines are categorized into internal and external, and further into major and minor levels, each serving unique roles in market structure analysis. 🔵 How to Use Trendlines are a key component in technical analysis, used to identify market direction, define dynamic support and resistance zones, highlight strategic entry and exit points, and manage risk. For a trendline to be reliable, it must be drawn based on structural principles—not by simply connecting two arbitrary points. 🟣 Selecting Pivot Types Based on Trend Direction The first step is to determine the market trend: uptrend, downtrend, or sideways. Then, choose pivot points that match the trend type : In an uptrend, trendlines are drawn by connecting low pivots, especially higher lows. In a downtrend, trendlines are formed by connecting high pivots, specifically lower highs. It is crucial to connect pivots of the same type and structure to ensure the trendline is valid and analytically sound. 🟣 Pivot Classification This indicator automatically classifies pivot points into two categories : Major Pivots : MLL : Major Lower Low MHL : Major Higher Low MHH : Major Higher High MLH : Major Lower High These define the primary structure of the market and are typically used in broader structural analysis. Minor Pivots : mLL: minor Lower Low mHL: minor Higher Low mHH: minor Higher High mLH: minor Lower High These are used for drawing more precise trendlines within corrective waves or internal price movements. Example : In a downtrend, drawing a trendline from an MHH to an mHH creates structural inconsistency and introduces noise. Instead, connect points like MHL to MHL or mLH to mLH for a valid trendline. 🟣 Drawing High-Precision Trendlines To ensure a reliable trendline : Use pivots of the same classification (Major with Major or Minor with Minor). Ensure at least three valid contact points (three touches = structural confirmation). Draw through candles with the least deviation (choose wicks or bodies based on confluence). Preferably draw from right to left for better alignment with current market behavior. Use parallel lines to turn a single trendline into a trendline zone, if needed. 🟣 Using Trendlines for Trade Entries Bounce Entry: When price approaches the trendline and shows signs of reversal (e.g., a reversal candle, divergence, or support/resistance), enter in the direction of the trend with a logical stop-loss. Breakout Entry: When price breaks through the trendline with strong momentum and a confirmation (such as a retest or break of structure), consider trading in the direction of the breakout. 🟣 Trendline-Based Risk Management For bounce entries, the stop-loss is placed below the trendline or the last pivot low (in an uptrend). For breakout entries, the stop-loss is set behind the breakout candle or the last structural level. A broken trendline can also act as an exit signal from a trade. 🟣 Combining Trendlines with Other Tools (Confluence) Trendlines gain much more strength when used alongside other analytical tools : Horizontal support and resistance levels Moving averages (such as EMA 50 or EMA 200) Fibonacci retracement zones Candlestick patterns (e.g., Engulfing, Pin Bar) RSI or MACD divergences Market structure breaks (BoS / ChoCH) 🔵 Settings Pivot Period : This defines how sensitive the pivot detection is. A higher number means the algorithm will identify more significant pivot points, resulting in longer-term trendlines. Alerts Alert : Enable or disable the entire alert system Set a custom alert name Choose how often alerts trigger (every time, once per bar, or on bar close) Select the time zone for alert timestamps (e.g., UTC) Each trendline type supports two alert types : Break Alert : Triggered when price breaks the trendline React Alert : Triggered when price reacts or bounces off the trendline These alerts can be independently enabled or disabled for all trendline categories (Major/Minor, Internal/External, Up/Down). Display : For each of the eight trendline types, you can control : Whether to show or hide the line Whether to delete the previous line when a new one is drawn Color, line style (solid, dashed, dotted), extension direction (e.g., right only), and width Major lines are typically thicker and more opaque, while minor lines appear thinner and more transparent. All settings are designed to give the user full control over the appearance, behavior, and alert system of the indicator, without requiring manual drawing or adjustments. 🔵 Conclusion A trendline is more than just a line on the chart—it is a structural, strategic, and flexible tool in technical analysis that can serve as the foundation for understanding price behavior and making trading decisions. Whether in trending markets or during corrections, trendlines help traders identify market direction, key zones, and high-potential entry and exit points with precision. The accuracy and effectiveness of a trendline depend on using structurally valid pivot points and adhering to proper market logic, rather than relying on guesswork or personal bias. This indicator is built to solve that exact problem. It automatically detects and draws multiple types of trendlines based on actual price structure, separating them into Major/Minor and Internal/External categories, and respecting professional analytical principles such as pivot type, trend direction, and structural location.
Pine Script® indicator
by TFlab
6
WMA and Intraday Highest Volume Candle Levels🔹 WMA Calculation (Weighted Moving Averages) Custom WMA Function: Uses a manual weighted average calculation. Assigns more weight to recent prices for smoother trend detection. Three Timeframes: 5-Minute WMA (Yellow) 15-Minute WMA (Blue) 30-Minute WMA (Red) 🔹 Intraday Highest Volume Candle Levels Finds the candle with the highest volume for the selected intraday timeframe. Stores its High & Low levels to act as support/resistance. Deletes and redraws lines daily to reflect the latest session's highest volume candle. Plots horizontal lines: Green Line: High of the highest volume candle. Red Line: Low of the highest volume candle. Customization: User can choose the analysis timeframe (default: 3 minutes). ✅ Benefits of This Indicator ✔ Multi-timeframe trend analysis using WMA. ✔ Key intraday levels based on highest volume candle. ✔ Dynamic support & resistance levels based on real-time volume activity. ✔ Customizable timeframe for volume analysis.
Pine Script® indicator
by AksharIntradayEdge
2
Elliott Wave Identification By Akash Patel This script is designed to visually highlight areas on the chart where there are consecutive bullish (green) or bearish (red) candles. It also identifies sequences of three consecutive candles of the same type (bullish or bearish) and highlights those areas with adjustable box opacity. Here's a breakdown of the functionality: --- ### Key Features: 1. **Bullish & Bearish Candle Identification:** - **Bullish Candle:** When the closing price is higher than the opening price (`close > open`). - **Bearish Candle:** When the closing price is lower than the opening price (`close < open`). 2. **Consecutive Candle Counter:** - The script counts consecutive bullish and bearish candles, which resets when the direction changes (from bullish to bearish or vice versa). - The script tracks these counts using the `bullishCount` and `bearishCount` variables, which are incremented based on whether the current candle is bullish or bearish. 3. **Highlighting Candle Areas:** - If there are **3 or more consecutive bullish candles**, the script will highlight the background in a green color with 90% transparency (adjustable). - Similarly, if there are **3 or more consecutive bearish candles**, the script will highlight the background in a red color with 90% transparency (adjustable). 4. **Three-Candle Sequence:** - The script checks if there are three consecutive bullish candles (`threeBullish`) or three consecutive bearish candles (`threeBearish`). - A box is drawn around these areas to visually highlight the sequence. The boxes extend to the right edge of the chart, and their opacity can be adjusted. 5. **Box Creation:** - For bullish sequences, a green box is created using the high and low prices of the three candles in the sequence. - For bearish sequences, a red box is created in the same manner. - The box size is determined by the highest high and the lowest low of the three consecutive candles. 6. **Box Opacity:** - You can adjust the opacity of the boxes through the input parameters `Bullish Box Opacity` and `Bearish Box Opacity` (ranging from 0 to 100). - A higher opacity will make the boxes more solid, while a lower opacity will make them more transparent. 7. **Box Cleanup:** - The script also includes logic to remove boxes when they are no longer needed, ensuring the chart remains clean without excessive box overlays. 8. **Extending Boxes to the Right:** - When a bullish or bearish sequence is identified, the boxes are extended to the right edge of the chart for continued visibility. --- ### How It Works: - **Bullish Area Highlight:** When three or more consecutive bullish candles are detected, the background will turn green to indicate a strong bullish trend. - **Bearish Area Highlight:** When three or more consecutive bearish candles are detected, the background will turn red to indicate a strong bearish trend. - **Three Consecutive Candle Box:** A green box will appear around three consecutive bullish candles, and a red box will appear around three consecutive bearish candles. These boxes can be extended to the right edge of the chart, making the sequence visually clear. --- ### Adjustable Parameters: 1. **Bullish Box Opacity:** Set the opacity (transparency) level of the bullish boxes. Ranges from 0 (completely transparent) to 100 (completely opaque). 2. **Bearish Box Opacity:** Set the opacity (transparency) level of the bearish boxes. Ranges from 0 (completely transparent) to 100 (completely opaque). --- This indicator is useful for identifying strong trends and visually confirming market momentum, especially in situations where you want to spot sequences of bullish or bearish candles over multiple bars. It can be customized to suit different trading styles and chart preferences by adjusting the opacity of the boxes and background highlights.
Pine Script® indicator
by Akash7245
Hossa OTF 4-candles"Hossa OTF 4-candles," overlays mini-representations of the higher timeframe candle on your current chart and displays a countdown timer showing how much time remains until that higher timeframe candle closes. Here’s how it works and how you might use it: How It Works Multi-Timeframe Display: The indicator fetches the open, high, low, and close of a higher timeframe candle based on the timeframe you select (for example, 1H, 4H, 8H, 1D, or 1W). It then draws four mini-candles that update as new higher timeframe candles are formed. Simple Stopwatch Countdown: It retrieves the open time of the current higher timeframe candle and calculates its full duration (using the timeframe’s minutes converted to milliseconds). The indicator then subtracts the elapsed time from the total duration to show a countdown (formatted in hours and minutes) that tells you how long until the current candle closes. How to Use It Multi-Timeframe Analysis: Use this indicator to see at a glance the status of the higher timeframe candle while you trade on a lower timeframe. For instance, if you're trading on a 5-minute chart but want to see what the 4-hour candle is doing, this indicator places a mini-representation of that 4-hour candle right on your chart. Time-Based Entries/Exits: The countdown helps you prepare for potential shifts in market sentiment as the higher timeframe candle closes. For example, if you notice a pattern or reversal setup on your lower timeframe near the end of the higher timeframe candle, it could signal an opportunity to enter or exit a trade. Confluence with Other Indicators: Combine this tool with other technical indicators (like RSI, MACD, or moving averages) to build a strategy. For instance, you might wait for a divergence on the lower timeframe as the higher timeframe candle nears its close, which can serve as an extra signal for a potential reversal or breakout. Example Strategy Trend Confirmation: Suppose the 4-hour candle is trending upward. Use the mini-candles and countdown timer to monitor when the current 4-hour candle is about to close. Entry Signal: If you see a bullish divergence on your lower timeframe (say, on a 15-minute chart) near the end of the 4-hour candle (as the countdown nears zero), this could signal that the uptrend might continue, suggesting a potential buy signal. Exit Signal: Conversely, if you see bearish price action or a breakdown of support as the candle closes, you might consider exiting long positions or even taking a short trade. Please Share If you find this indicator useful for your multi-timeframe analysis and timing-based strategies, please consider sharing it with your fellow traders. Sharing helps improve our community's tools and fosters collaboration among traders!
Pine Script® indicator
by Hossa_Nostra
Hossa Sweep/liquidityHossa Sweep/Liquidity – How It Works and How to Use It The Hossa Sweep/Liquidity indicator is designed to detect “sweep” signals across multiple timeframes. A “sweep” occurs when one candle (Candle #2) pushes beyond the previous candle’s high or low (Candle #1) while both candles share the same color (both bullish or both bearish). Additionally, Candle #1 must have a visible wick. This indicator can help traders identify potential turning points or continuation patterns. 1. How It Operates for Traders Multiple Timeframes: You can select up to five different timeframes (e.g., 5m, 15m, 1H, 4H, 1D). The indicator will check each chosen timeframe to see if a sweep is happening. Visual Labels: When it detects a valid sweep: SL (Sweep Long) label appears below a candle if the sweep is bullish. SS (Sweep Short) label appears above a candle if the sweep is bearish. Alerts: The script triggers an alert whenever a new sweep signal appears on any of the selected timeframes, so you won’t miss an opportunity. 2. Practical Ways to Use It Confluence with Other Signals Combine these sweep signals with your favorite support/resistance zones, moving averages, or volume profiles. For instance, a sweep at a known support zone can hint at a bullish reversal; a sweep at resistance might suggest a bearish reversal. Confirm Trend Continuations Watch for bullish sweeps in an existing uptrend or bearish sweeps in a downtrend. A sweep in line with the overall trend can serve as a continuation signal, helping you time pullback entries. Identify Potential Reversals Sweeps often appear near market tops/bottoms when price aggressively tests a previous candle’s high or low. In these areas, a sweep followed by strong follow-through can be a clue of a likely turning point. Manage Risk More Precisely Since the indicator specifies exact candle highs/lows, you can plan tighter stop-loss levels or be more precise with your targets. Request to Share My Work Dear Users, I kindly ask for your support in sharing my work with your friends and networks. Every like, share, or recommendation is extremely valuable to me and helps reach a wider audience. I would be immensely grateful for any form of support and engagement! Thanks to your help, I can continue developing this project and bring more ideas to life. With sincere appreciation,
Pine Script® indicator
by Hossa_Nostra
Abhi's Bollinger Band Reversal SignalThis Pine Script indicator is designed to detect reversal trade opportunities using Bollinger Band breakouts. It identifies both buy and sell setups with clearly defined entry, stop-loss (SL), and target (TP) conditions. It also manages trades visually with real-time signal plotting, and limits entries per trading day. ⚙️ How It Works 🔽 Sell Signal Conditions - The previous candle must close above the upper Bollinger Band, and its entire body must be above the band - The current candle must fail to break the previous high, and must break below the previous low - Entry is taken at the previous candle’s low, with SL at its high - Target is calculated based on a configurable Risk:Reward ratio 🔼 Buy Signal Conditions - The previous candle must close below the lower Bollinger Band, and its entire body must be below the band - The current candle must fail to break the previous low, and must break above the previous high - Entry is at the previous candle’s high, with SL at its low - Target is calculated using the same Risk:Reward ratio ⏰ Time-Based Exit - If a trade is still active by a user-defined exit time (e.g. 15:15), the trade is closed - Labels are plotted to show whether this exit was a profit or loss 🧩 User Inputs - Start Time for signals - Exit Time for open trades - Bollinger Band Settings: Period and Std Dev - Max Entries Per Day - Risk:Reward Ratio: Dropdown for 1:1, 1:1.5, ..., 1:3 🎨 Visual Features ✅ BUY and SELL signals are plotted when valid conditions are detected 🟢 TP and 🔴 SL labels show trade outcome 🕒 TIME EXIT labels appear at user-set exit time with green/red coloring based on profitability 📉 Bollinger Bands plotted for visual context 📌 Notes: - Designed for intraday trading, resets entry counter daily - Uses bar_index > tradeBarIndex to avoid SL/TP being triggered on the same candle as entry - Tracks only one trade at a time (tradeActive) — ensures clear, non-overlapping logic
Pine Script® indicator
by abhirb1
Correlation Coefficient TableThis Pine Script generates a dynamic table for analyzing how multiple assets correlate with a chosen benchmark (e.g., NZ50G). Users can input up to 12 asset symbols, customize the benchmark, and define the beta calculation periods (e.g., 15, 30, 90, 180 days). The script calculates Correlation values for each asset over these periods and computes the average beta for better insights. The table includes: Asset symbols: Displayed in the first row. Correlation values: Calculated for each defined period and displayed in subsequent columns. Average Correlation: Presented in the final column as an overall measure of correlation strength. Color coding: Background colors indicate beta magnitude (green for high positive beta, yellow for near-neutral beta, red for negative beta).
Pine Script® indicator
by QuantChook
Short Selling DetectionExplanation of Candlestick Patterns: Bearish Engulfing: The previous candle is bullish (close > open), and the current candle is bearish (close < open). The current candle's open is higher than the previous candle's close, and the current candle's close is lower than the previous candle's open. Shooting Star: The current candle is bearish (close < open). The difference between the high and close is more than twice the difference between the open and close, and the close is above the low. Dark Cloud Cover: The current candle is bearish (close < open). The close is below half the previous candle's body (open - (high - low) * 0.5). The Shooting Star and Dark Cloud Cover patterns were manually defined as well. You can set alerts based on the "Short Selling Signal" condition, which will notify you of potential short-selling opportunities.
Pine Script® indicator
by fourballast
EMA 10/55/200 - LONG ONLY MTF (4h with 1D & 1W confirmation)Title: EMA 10/55/200 - Long Only Multi-Timeframe Strategy (4h with 1D & 1W confirmation) Description: This strategy is designed for trend-following long entries using a combination of exponential moving averages (EMAs) on the 4-hour chart, confirmed by higher timeframe trends from the daily (1D) and weekly (1W) charts. 🔍 How It Works 🔹 Entry Conditions (4h chart): EMA 10 crosses above EMA 55 and price is above EMA 55 OR EMA 55 crosses above EMA 200 OR EMA 10 crosses above EMA 500 These entries indicate short-term momentum aligning with medium/long-term trend strength. 🔹 Confirmation (multi-timeframe alignment): Daily (1D): EMA 55 is above EMA 200 Weekly (1W): EMA 55 is above EMA 200 This ensures that we only enter long trades when the higher timeframes support an uptrend, reducing false signals during sideways or bearish markets. 🛑 Exit Conditions Bearish crossover of EMA 10 below EMA 200 or EMA 500 Stop Loss: 5% below entry price ⚙️ Backtest Settings Capital allocation per trade: 10% of equity Commission: 0.1% Slippage: 2 ticks These are realistic conditions for crypto, forex, and stocks. 📈 Best Used On Timeframe: 4h Instruments: Trending markets like BTC/ETH, FX majors, or growth stocks Works best in volatile or trending environments ⚠️ Disclaimer This is a backtest tool and educational resource. Always validate on demo accounts before applying to real capital. Do your own due diligence.
Pine Script® strategy
by ivan31416neda
Cartera SuperTrends v4 PublicDescription This script creates a screener with a list of ETFs ordered by their average ROC in three different periods representing 4, 6 and 8 months by default. The ETF BIL is always included as a reference. The previous average ROC value shows the calculation using the closing price from last month. The current average ROC value shows the calculation using the current price. The previous average column background color represents if the ETF average ROC is positive or negative. The current average column background color represents if the ETF average ROC is positive or negative. The current average column letters color represents if the current ETF average ROC is improving or not from the previous month. Changes from V2 to V3 Added the option to make the calculation monthly, weekly or daily Changes from V3 to V4 Adding up to 25 symbols Highlight the number of tickers selected Highlight the sorted column Complete refactor of the code using a matrix of arrays Options The options available are: Make the calculation monthly, weekly or daily Adjust Data for Dividends Manual calculation instead of using ta.roc function Sort table Sort table by the previous average ROC or the current average ROC Number of tickers selected to highlight First Period in months, weeks or days Second Period in months, weeks or days Third Period in months, weeks or days Select the assets (max 25) Usage Just add the indicator to your favorite indicators and then add it to your chart.
Pine Script® indicator
by RoberGV