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Box Chart Overlay StrategyExploring the Box Chart Overlay Strategy with RSI & Bollinger Confirmation The “Box Chart Overlay Strategy by BD” is a sophisticated TradingView strategy script written in Pine Script (version 5). It combines a box charting method with two widely used technical indicators—Relative Strength Index (RSI) and Bollinger Bands—to generate trade entries. In this article, we break down the strategy’s components, its logic, and how it visually represents trading signals on the chart. 1. Strategy Setup and User Inputs Strategy Declaration At the top of the script, the strategy is declared with key parameters: Overlay: The indicator is plotted directly on the price chart. Initial Capital & Position Sizing: It uses a simulated trading account with an initial capital of 10,000 and positions sized as a percentage of equity (10% by default). Commission: A commission of 0.1% is factored into trades. Input Parameters The strategy is highly customizable. Users can adjust various inputs such as: Box Settings: Box Size (RSboxSize): Defines the size of each price “box.” Box Options: Choose from three modes: Standard: Boxes are calculated continuously from the start of the chart. Anchored: The first box is fixed at a specified time and price. Daily Reset: The boxes reset each day based on a defined session time. Color Customizations: Options to customize the appearance of boxes, borders, labels, and even repainting the candles based on the current price’s relation to box levels. RSI Settings: Length, overbought, and oversold levels are set to filter trades. Bollinger Bands Settings: Users can set the length of the moving average and the multiplier for standard deviation, which will be used to compute the upper and lower bands. 2. The Box Chart Mechanism Box Construction The core idea of a box chart is to group price movement into discrete blocks—or boxes—of a fixed size. In this strategy: Standard Mode: The script calculates boxes starting at a rounded price level. When the price moves sufficiently above or below the current box’s boundaries, a new box is drawn. Anchored and Daily Reset Modes: These modes allow traders to control where the box calculations begin or to reset them during a specific intraday session. Visual Elements Several custom functions handle the visual components: drawBoxUp() and drawBoxDn(): These functions create boxes in bullish or bearish directions respectively, based on whether the price has exceeded the current box’s high or low. drawLines() and drawLabels(): Lines are drawn to extend the current box levels, and labels are updated to display key levels or the “remainder” (the difference needed to trigger a new box). Projected Boxes: A “projected” box is drawn to indicate potential upcoming box levels, providing an additional visual cue about the price action. 3. Integrating RSI and Bollinger Bands for Trade Confirmation RSI Integration The strategy computes the RSI using a user-defined length. It then uses the following conditions to validate entries: Long Trades (Box Up): The strategy waits for the RSI to be at or below the oversold level before considering a long entry. Short Trades (Box Down): It requires the RSI to be at or above the overbought level before triggering a short entry. Bollinger Bands Confirmation In addition to the RSI filter: For Long Entries: The price must be at or below the lower Bollinger Band. For Short Entries: The price must be at or above the upper Bollinger Band. By combining these filters with the box breakout logic, the strategy aims to enhance the quality of its trade signals. 4. Dynamic Trade Entries and Alerts Box Logic and Entry Functions Two key functions—BoxUpFunc() and BoxDownFunc()—handle the creation of new boxes and also check if trade conditions are met: When a new box is drawn, the script evaluates if the RSI and Bollinger conditions align. If conditions are satisfied, the script places an entry order: Long Entry: Initiated when the price moves upward, RSI indicates oversold, and the price touches or falls below the lower Bollinger Band. Short Entry: Triggered when the price falls downward, RSI signals overbought, and the price touches or exceeds the upper Bollinger Band. Alerts Built-in alert functions notify traders when a new box level is reached. Users can set custom alert messages to ensure they are aware of potential trade opportunities as soon as the conditions are met. 5. Visual Enhancements and Candle Repainting The script also includes options for repainting candles based on their relation to the current box’s boundaries: Above, Below, or Within the Box: Candles are color-coded using user-defined colors, making it easier to visually assess where the price is in relation to the box levels. Labels and Lines: These continuously update to reflect current levels and provide an immediate visual reference for potential breakout points. Conclusion The Box Chart Overlay Strategy by BD is a multi-faceted approach that marries the traditional box chart technique with modern technical indicators—RSI and Bollinger Bands—to refine entry signals. By offering various customization options for box creation, visual styling, and confirmation criteria, the strategy allows traders to adapt it to different market conditions and personal trading styles. Whether you prefer a continuously running “Standard” mode or a more controlled “Anchored” or “Daily Reset” approach, this strategy provides a robust framework for integrating price action with momentum and volatility measures.
Pine Script® strategy
oleh PineWiseTrading
VOLGHAN STGForex Robots: A Comprehensive Guide for Traders Introduction In the dynamic world of Forex trading, various tools exist to assist traders in making decisions and executing trades. One popular yet controversial tool is the Forex Robot, also known as an Expert Advisor (EA). These robots are software programs designed to automatically execute trades based on a predefined set of rules and algorithms. What is a Forex Robot and How Does It Work? A Forex robot is a computer program that connects directly to your trading platform (like MetaTrader 4 or 5). These robots are designed to analyze currency price movements. They use technical indicators, price patterns, or custom trading strategies to identify buy or sell signals. When a signal matching the robot's programmed rules is detected, the robot can automatically open or close a trade in your account without human intervention. The primary goal of using robots is to automate the trading process and eliminate the need for constant market monitoring. Advantages of Using Forex Robots: Automated & 24/7 Trading: Robots can analyze the market and trade continuously, even while you are asleep or busy with other activities. High Execution Speed: Robots can react to market changes and execute trades in fractions of a second, much faster than a human can. Emotionless Trading: One of the biggest challenges for traders is overcoming emotions like fear and greed. Robots operate purely based on logic and programmed rules, unaffected by emotions. Backtesting: Most robots offer the ability to test their strategy on historical market data. This allows you to evaluate the robot's potential performance before using real money. Strategy Adherence: Robots strictly and consistently follow the defined trading strategy without deviating from the rules. Disadvantages and Risks of Using Forex Robots: No Profit Guarantee: No Forex robot can guarantee profits. Past performance is not indicative of future results, as market conditions are constantly changing. Need for Optimization: Strategies that work today may not work tomorrow. Robots require periodic monitoring, adjustments, and optimization to adapt to new market conditions. Risk of Scams: The market is flooded with robots sold with unrealistic promises of huge profits. Many of these robots are either ineffective or outright scams. Technical Issues: Robots require a stable internet connection and an active trading platform to function correctly. Internet outages or server problems can lead to missed trades or incorrect execution. Using a Virtual Private Server (VPS) is often recommended. Curve Fitting: Some robots might be overly optimized to perform well on specific historical data (curve fitting), leading to poor performance in live, real-time market conditions. Things to Consider Before Using a Forex Robot: Thorough Research: Before buying or using any robot, research it extensively. Look for independent reviews, verified performance results (e.g., via sites like Myfxbook), and feedback from other users. Understand the Strategy: Try to understand the logic and trading strategy behind the robot. Not knowing how the robot works makes risk management difficult. Demo Account Testing: Always test the robot extensively on a demo account before using it with real money to familiarize yourself with its performance and settings. Risk Management: Even when using a robot, risk management principles are crucial. Carefully set parameters for trade size (lot size), stop-loss, and take-profit. Realistic Expectations: Remember that robots are tools to aid trading, not magical money-making machines. There is always a risk of losing capital. Conclusion Forex robots can be powerful tools for automating trades and capitalizing on market opportunities, especially for those who lack the time or inclination for constant market analysis. However, their use is not without risk. Success with Forex robots requires careful selection, proper understanding, thorough testing, appropriate risk management, and realistic expectations. Never risk money you cannot afford to lose, whether trading manually or using a robot.
Pine Script® strategy
oleh volghan
EMA + RSI + MACD + Support & Resistance Combined StrategyThis Pine Script strategy combines **EMA, RSI, MACD, and Support/Resistance levels** to identify high-probability trading opportunities. - **EMA (Exponential Moving Averages)**: Determines trend direction using EMAs (5, 20, 50, 100, 200). - **RSI (Relative Strength Index)**: Filters trades, confirming bullish (above 50 but below 70) and bearish (below 50 but above 30) momentum. - **MACD (Moving Average Convergence Divergence)**: Confirms momentum shifts using MACD line crossover with the signal line. - **Support & Resistance**: Detects breakout and breakdown levels based on the highest high and lowest low over a set period. - **Trade Execution**: - **Buy**: When all bullish conditions align, and the price breaks above resistance. - **Sell**: When all bearish conditions align, and the price breaks below support. - **Risk Management**: Uses ATR (Average True Range) to set dynamic stop-loss and take-profit levels. This strategy helps traders capitalize on strong trends while managing risks effectively. 🚀
Pine Script® strategy
oleh muddamgirivardhan
Triangular Hull Moving Average [BigBeluga X PineIndicators]This strategy is based on the original Triangular Hull Moving Average (THMA) + Volatility indicator by BigBeluga. Full credit for the concept and design goes to BigBeluga. The strategy blends smoothed trend-following logic using a Triangular Hull Moving Average with dynamic volatility overlays, providing actionable trade signals with responsive visual feedback. It's designed for traders who want a non-lagging trend filter while also monitoring market volatility in real time. How the Strategy Works 1. Triangular Hull Moving Average (THMA) Core At its core, the strategy uses a Triangular Hull Moving Average (THMA) — a variation of the traditional Hull Moving Average with triple-smoothing logic: It combines multiple weighted moving averages (WMAs) to create a faster and smoother trend line. This reduces lag without compromising trend accuracy. The THMA reacts more responsively to price movements than classic MAs. THMA Formula: thma(_src, _length) => ta.wma(ta.wma(_src,_length / 3) * 3 - ta.wma(_src, _length / 2) - ta.wma(_src, _length), _length) This logic filters out short-term noise while still being sensitive to genuine trend shifts. 2. Volatility-Enhanced Candle Plotting An optional volatility mode overlays the chart with custom candles that incorporate volatility bands: Wicks expand and contract dynamically based on market volatility. The volatility value is computed using a HMA of high-low range over a user-defined length. The candle bodies reflect THMA values, while the wicks reflect the current volatility spread. This feature allows traders to visually gauge the strength of price moves and anticipate possible breakouts or slowdowns. 3. Trend Reversal Signal Detection The strategy identifies trend reversals when the THMA line crosses over/under its own past value: A bullish signal is triggered when THMA crosses above its value from two bars ago. A bearish signal is triggered when THMA crosses below its value from two bars ago. These shifts are marked on the chart with triangle-shaped signals for clear visibility. This logic helps detect momentum shifts early and enables reactive trade entries. Trade Entry & Exit Logic Trade Modes Supported Users can choose between: Only Long – Enters long trades only. Only Short – Enters short trades only. Long & Short – Enables both directions. Entry Conditions Long Entry: Triggered when a bullish crossover is detected. Active only if the strategy mode allows long trades. Short Entry: Triggered when a bearish crossover is detected. Active only if the strategy mode allows short trades. Exit Conditions In Only Long mode, the strategy closes long positions when a bearish signal appears. In Only Short mode, the strategy closes short positions when a bullish signal appears. In Long & Short mode, the strategy does not auto-close positions — instead, it opens new positions on each confirmed signal. Dashboard Visualization In the bottom-right corner of the chart, a live dashboard displays: The current trend direction (🢁 for bullish, 🢃 for bearish). The current volatility level as a percentage. This helps traders quickly assess market status and adjust their decisions accordingly. Customization Options THMA Length: Adjust how smooth or reactive the trend detection should be. Volatility Toggle & Length: Enable or disable volatility visualization and set sensitivity. Color Settings: Choose colors for up/down trend visualization. Trade Direction Mode: Limit the strategy to long, short, or both types of trades. Use Cases & Strategy Strengths 1. Trend Following Use the THMA-based candles and triangle signals to enter with momentum. The indicator adapts quickly, reducing lag and improving trade timing. 2. Volatility Monitoring Visualize the strength of the trend with volatility wicks. Use expanding bands to confirm breakouts and contracting ones to detect weakening moves. 3. Signal Confirmation Combine this tool with other indicators or use the trend shift triangles as confirmations for manual entries. Conclusion The THMA + Volatility Strategy is a non-repainting trend-following system that integrates: Triangular Hull MA for advanced trend detection. Real-time volatility visualization. Clear entry signals based on trend reversals. Configurable trade direction settings. It is ideal for traders who: Prefer smoothed price analysis. Want to follow trends with precision. Value visual volatility feedback for breakout detection. Full credit for the original concept and indicator goes to BigBeluga.
Pine Script® strategy
oleh PineIndicators
1
Litecoin Trailing-Stop StrategyAltcoins Trailing-Stop Strategy This strategy is based on a momentum breakout approach using PKAMA (Powered Kaufman Adaptive Moving Average) as a trend filter, and a delayed trailing stop mechanism to manage risk effectively. It has been designed and fine-tuned Altcoins, which historically shows consistent volatility patterns and clean trend structures, especially on intraday timeframes like 15m and 30m. Strategy Logic: Entry Conditions: Long when PKAMA indicates an upward move Short when PKAMA detects a downward trend Minimum spacing of 30 bars between trades to avoid overtrading Trailing Stop: Activated only after a customizable delay (delayBars) User can set trailing stop % and delay independently Helps avoid premature exits due to short-term volatility Customizable Parameters: This strategy uses a custom implementation of PKAMA (Powered Kaufman Adaptive Moving Average), inspired by the work of alexgrover PKAMA is a volatility-aware moving average that adjusts dynamically to market conditions, making it ideal for altcoins where trend strength and direction change frequently. This script is for educational and experimental purposes only. It is not financial advice. Please test thoroughly before using it in live conditions, and always adapt parameters to your specific asset and time frame. Feedback is welcome! Feel free to clone and adapt it for your own trading style.
Pine Script® strategy
oleh wielkieef
Hypersonic MAIN Intersection StrategyStrategy that shows the intersection point of two Items of Interest. Backtesting showed the best was Candle (close) & EMA 9. 1. I added 2 auxiliary EMA's that you can view or hide because I know some people like to see the EMA 200. 2. You select the First and Second Item of Interest and it'll plot it in the background. First EMA and Second EMA correspond to whether you select them or not. The BWMA stuff is near the bottom. And in the middle is how you can show/hide the data table in the top-right. If you choose "candle" then it'll use the close of the candle for plotting. 3. you can show/hide different lines in the Style section. 4. on the Style tab of Settings, you can turn off the whole table as well as the Trades, just the signal of the trade, or just the quantity of the trade.
Pine Script® strategy
oleh Hypersonic_0
Cycle Biologique Strategy // (\_/) // ( •.•) // (")_(") //@fr33domz Experimental Research: Cycle Biologique Strategy Overview The "Cycle Biologique Strategy" is an experimental trading algorithm designed to leverage periodic cycles in price movements by utilizing a sinusoidal function. This strategy aims to identify potential buy and sell signals based on the behavior of a custom-defined biological cycle. Key Parameters Cycle Length: This parameter defines the duration of the cycle, set by default to 30 periods. The user can adjust this value to optimize the strategy for different asset classes or market conditions. Amplitude: The amplitude of the cycle influences the scale of the sinusoidal wave, allowing for customization in the sensitivity of buy and sell signals. Offset: The offset parameter introduces phase shifts to the cycle, adjustable within a range of -360 to 360 degrees. This flexibility allows the strategy to align with various market rhythms. Methodology The core of the strategy lies in the calculation of a periodic cycle using a sinusoidal function. Trading Signals Buy Signal: A buy signal is generated when the cycle value crosses above zero, indicating a potential upward momentum. Sell Signal: Conversely, a sell signal is triggered when the cycle value crosses below zero, suggesting a potential downtrend. Execution The strategy executes trades based on these signals: Upon receiving a buy signal, the algorithm enters a long position. When a sell signal occurs, the strategy closes the long position. Visualization To enhance user experience, the periodic cycle is plotted visually on the chart in blue, allowing traders to observe the cyclical nature of the strategy and its alignment with market movements.
Pine Script® strategy
oleh fr33domz
Enhanced 3-Month Reversal Strategy v6 (TSLA)### **Strategy Overview: Enhanced 3-Month Reversal Strategy v6 for TSLA** This custom-designed strategy is tailored specifically for **Tesla Inc. (TSLA)**, incorporating a multi-factor scoring model to capture short-term mean-reversion opportunities within a broader trend-aware framework. --- ### **Methodology** The strategy blends **technical reversal signals** with **trend filtering** and **volatility-adjusted risk management**. It assigns dynamic weights to six core technical indicators for both long and short entries: - **RSI (7-period):** Identifies overbought/oversold conditions based on percentile ranks. - **MACD (8/17/9):** Captures short-term momentum shifts with trend confirmation. - **ADX (14):** Ensures trades are taken only in strong trending environments. - **Volume Spike:** Confirms breakout or reversal intensity. - **SMA Crossovers (20 & 50):** Filters trend direction on a medium scale. - **Implied Volatility Rank (126-period HV proxy):** Measures relative volatility levels to confirm timing. All inputs are scored based on weighted signals, and trades are only entered when the composite score exceeds a defined threshold. --- ### **Features** - ✅ **Volatility-based dynamic stop-loss and take-profit** for adaptive risk management. - ✅ **Intraday trading window filter** to restrict trades to regular market hours (default: 9AM–4PM EST). - ✅ **Trend filter (200-SMA)** to allow long trades only in bullish markets. - ✅ **Score threshold parameters** are fully adjustable for optimization. - ✅ **Individual trade P&L tracking** via chart annotations. --- ### **Backtest Summary** - **Time period:** Backtested on TSLA from **January 2022 to March 2025**. - **Data granularity:** 15-minute and 1-hour timeframes show best performance consistency. - **Market regime:** Performs well in both trending and volatile mean-reversion phases. --- ### **Best Input Parameters (from hyperparameter tuning)** **Long Entry Weights:** - RSI: `0.35` - IV Rank: `0.10` - MACD: `0.15` - SMA Condition: `0.25` - ADX: `0.15` - Volume Spike: `0.25` **Short Entry Weights:** - RSI: `0.20` - IV Rank: `0.15` - MACD: `0.30` - SMA Condition: `0.00` - ADX: `0.15` - Volume Spike: `0.30` **Other Settings:** - MACD Signal Period: `9` - RSI Length: `7` - IV Period: `126` - SMA Periods: `20 & 50` - Trend Filter SMA: `200` - Stop Loss / Take Profit: `1.0 × HV` multiplier --- --- Optuna 优化完成 --- 最佳 Trial 编号: 29 最佳 Total Return : 17927.75678703037 最佳参数: rsi_length: 13 iv_length: 140 macd_fast: 7 macd_slow: 30 adx_length: 25 sma_short_period: 21 sma_long_period: 78 volume_ma_period: 14 rsi_low_percentile: 21 rsi_high_percentile: 60 iv_low_percentile: 11 iv_high_percentile: 89 take_profit_mult: 4.0 stop_loss_mult: 5.0 bullish_threshold: 0.65 bearish_threshold: 0.9 rsi_bull_weight: 0.5 iv_bull_weight: 0.25 macd_bull_weight: 0.30000000000000004 sma_bull_weight: 0.1 adx_bull_weight: 0.0 volume_bull_weight: 0.3 rsi_bear_weight: 0.5 iv_bear_weight: 0.2 macd_bear_weight: 0.15000000000000002 sma_bear_weight: 0.1 adx_bear_weight: 0.1 volume_bear_weight: 0.15000000000000002 macd_signal: 9
Pine Script® strategy
oleh licai918
EMA 5m Nightingale🔁 EMA 5m Nightingale Strategy — Smart Compounding Recovery This strategy combines classic EMA cross entries with a disciplined Nightingale position sizing system to manage losses and enhance recovery. 📌 Features: ✅ EMA 20/50 crossover entries, confirmed by trend (EMA 200) 🔄 Fixed-step Nightingale logic: Trade sizing steps: $200 → $200 → $250 → $400 → $800 → $1600 → $3200 → $6000 Automatically resets to $200 after a profitable trade 🛑 2% equity-based stop loss 📉 Trade size increases only after a loss — never on a win 🔔 Built-in buy/sell alerts for automation or notifications Perfect for testing controlled risk escalation and recovery on volatile 3-minute or 5-minute charts. TESTING NOW FOR XRP 5M
Pine Script® strategy
oleh wgolim
Bollinger Band Long & Short Strategy### **Strategy Summary: Bollinger Band Long & Short Strategy** #### **Bollinger Band Setup:** - Uses a **20-period Simple Moving Average (SMA)** as the basis. - **Standard deviation multiplier = 1.5**. - Calculates **upper** and **lower Bollinger Bands**. #### **Entry Conditions:** - **Short Trade:** - A candle must fully form **above** the upper Bollinger Band. - The **low of this candle** must be broken by one of the **next four candles**. - A **short position** is then entered. - **Long Trade:** - A candle must fully form **below** the lower Bollinger Band. - The **high of this candle** must be broken by one of the **next four candles**. - A **long position** is then entered. #### **Risk Management:** - **Stop Loss:** - **Short Trade:** High of the candle that formed outside the upper Bollinger Band. - **Long Trade:** Low of the candle that formed outside the lower Bollinger Band. - **Position Sizing:** - The number of shares/contracts is calculated such that the **maximum loss per trade is INR 4000**. - **Risk-to-Reward Ratio:** - **Target Profit = 3x Risk (1:3 R:R).** - Once **1:2 profit is reached, the stop loss moves to breakeven**. - The trade is **closed at 1:3 profit**. #### **Additional Features:** - **Trades are only considered if the breakout happens within four candles** after the alert candle. - **Bollinger Bands are plotted for visibility** on the chart. Let me know if you need any modifications! 🚀
Pine Script® strategy
oleh Sachin_49
Mean Reversion with Volume AnalysisKey Features of This Script: Adaptive Parameters RSI thresholds adjust based on market volatility Uses ATR to measure current volatility Volume Confirmation Only enters trades when volume is above average (vol_ratio > vol_threshold) Volume spike helps confirm potential reversions Multi-Timeframe Analysis Optional higher timeframe confirmation Ensures you’re not fighting against the larger trend Volatility Filters Uses normalized ATR to avoid trading in extremely volatile conditions BB width provides visual indication of current volatility Visual Feedback Plots buy/sell signals directly on the chart Information panel shows key metrics Customization Tips: Adjust the length parameter based on the timeframe you’re trading Modify bb_mult to be more aggressive (lower value) or conservative (higher value) The vol_threshold can be increased for stricter volume confirmation Fine-tune the ATR filter (0.03 in the script) based on your risk tolerance This script provides both visual signals and automated strategy execution. You can use it in TradingView’s strategy tester to backtest its performance on different assets and timeframes.
Pine Script® strategy
oleh gadge75
BTC 1h bot 1.0 StrategyThis is Strategy version of BTC 1h bot 1.0. Optimized for pairs BTC vs stablecoins, 1h timeframe. HOW IT WORKS: Script is based on the fact that there are certain phases of the market when there is a greater probability that BTC will go to one side or the other. To evaluate which phase we are in, the script uses "Main trend" and "Confirmation signals". Main trend - Is composed of a combination of several supertrends and moving averages. A supertrend is a trend following indicator that helps in identifying whether we are in an uptrend or a downtrend. A higher factor is used to capture the main trend and not just small movements. In case the market goes sideways, the supertrend does not work well, so it is a combination of multiple supertrends along with moving averages to differentiate a real strong trend from a range. - It can be seen on the graph as a thick solid line. - In an uptrend is green, in a downtrend red, gray represents the neutral zone. Confirmation signals - Are several script-evaluated indicators such as RSI , MACD , ADX and others, which serve to confirm the trend. In this case, it is the opposite way to the Main trend. Confirmation signals are used here to detect small movements. They are trying to capture bullish and bearish price momentum. - On the graph they are seen as dashed lines above or below the Main trend (in the gray zone they are in the middle). - It indicates only two signals, green for buy and red for sell. HOW TO USE IT: if the Main trend and Confirmation signals are of the same color, it will send a buy or sell signal, depending on which phase of the trend it is in. If the Main trend is e.g. in an uptrend and the market is going up, Confirmation signals should generate a lot of signals. But if the market starts to go in the opposite direction, Confirmation signals should generate fewer signals or none at all, thus reducing the number of wrong trades. In the gray zone of the Main trend it does not open positions. To close position is possible to use stop loss and take profit or alternative could be to set very high TP value, thereby letting the script close the positions by itself. In this case, it is a strategy to find out how the script worked in the past period. The longest period in which it is possible to test is on BTC/USD INDEX. The script works consistently well over a long period of time, using past probabilities, but this does not guarantee future results.
Pine Script® strategy
oleh mk77777
Gaussian Channel + Stoch RSI Strategy"An indicator entry model is a systematic framework designed to identify optimal entry points for a given process, such as initiating a trade, investment, or action, based on predefined signals or indicators. This model leverages quantitative or qualitative metrics—such as technical indicators (e.g., moving averages, RSI, MACD), economic data, or market conditions—to generate actionable insights. The model typically involves setting specific thresholds or conditions that, when met, trigger an entry signal. For example, in trading, the model might use a combination of a 50-day moving average crossing above a 200-day moving average and an RSI below 70 to indicate a buy entry. The goal is to reduce subjectivity, enhance consistency, and improve decision-making efficiency by relying on data-driven rules tailored to the user’s objectives and risk tolerance."
Pine Script® strategy
oleh parkersmc