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MACD Crossover Strategy MACD Crossover Strategy: This strategy is based on the Moving Average Convergence Divergence (MACD) indicator, a popular tool used in technical analysis to identify potential trend changes and momentum in price movements. The strategy focuses on MACD crossovers within a specific "important zone" to generate trading signals. Key Components: 1. MACD Calculation: The strategy uses customizable parameters for fast length (default 12), slow length (default 26), and signal length (default 9) to calculate the MACD line and signal line. 2. Important Zone: Defined by upper and lower thresholds (default 0.5 and -0.5), this zone helps filter out potentially less significant crossovers. 3. Entry Conditions: - Long (Buy) Entry: When the MACD line crosses above the signal line within the important zone. - Short (Sell) Entry: When the MACD line crosses below the signal line within the important zone. 4. Exit Conditions: The strategy closes positions on opposite crossover signals. Long positions are closed on bearish crossovers, and short positions on bullish crossovers. 5. Visualization: - MACD line (blue) and signal line (orange) are plotted. - The zero line, upper threshold, and lower threshold are displayed for reference. - Buy signals are represented by green triangles at the bottom of the chart. - Sell signals are shown as red triangles at the top of the chart. This strategy aims to capture trend changes while filtering out potentially false signals that occur when the MACD is at extreme values. By focusing on crossovers within the important zone, the strategy attempts to identify more reliable trading opportunities. Traders can adjust the MACD parameters and the important zone thresholds to fine-tune the strategy for different assets or timeframes. As with any trading strategy, it's crucial to thoroughly backtest and consider risk management before using it in live trading.
Pine Script® strategy
by xdd11a
MACD Crossover Backtest MACD – Moving Average Convergence Divergence. The MACD is calculated by subtracting a 26-day moving average of a security's price from a 12-day moving average of its price. The result is an indicator that oscillates above and below zero. When the MACD is above zero, it means the 12-day moving average is higher than the 26-day moving average. This is bullish as it shows that current expectations (i.e., the 12-day moving average) are more bullish than previous expectations (i.e., the 26-day average). This implies a bullish, or upward, shift in the supply/demand lines. When the MACD falls below zero, it means that the 12-day moving average is less than the 26-day moving average, implying a bearish shift in the supply/demand lines. A 9-day moving average of the MACD (not of the security's price) is usually plotted on top of the MACD indicator. This line is referred to as the "signal" line. The signal line anticipates the convergence of the two moving averages (i.e., the movement of the MACD toward the zero line). Let's consider the rational behind this technique. The MACD is the difference between two moving averages of price. When the shorter-term moving average rises above the longer-term moving average (i.e., the MACD rises above zero), it means that investor expectations are becoming more bullish (i.e., there has been an upward shift in the supply/demand lines). By plotting a 9-day moving average of the MACD, we can see the changing of expectations (i.e., the shifting of the supply/demand lines) as they occur. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.
Pine Script® strategy
by HPotter
7
MACD Aggressive Scalp SimpleComment on the Script Purpose and Structure: The script is a scalping strategy based on the MACD indicator combined with EMA (50) as a trend filter. It uses the MACD histogram's crossover/crossunder of zero to trigger entries and exits, allowing the trader to capitalize on short-term momentum shifts. The use of strategy.close ensures that positions are closed when specified conditions are met, although adjustments were made to align with Pine Script version 6. Strengths: Simplicity and Clarity: The logic is straightforward and focuses on essential scalping principles (momentum-based entries and exits). Visual Indicators: The plotted MACD line, signal line, and histogram columns provide clear visual feedback for the strategy's operation. Trend Confirmation: Incorporating the EMA(50) as a trend filter helps avoid trades that go against the prevailing trend, reducing the likelihood of false signals. Dynamic Exit Conditions: The conditional logic for closing positions based on weakening momentum (via MACD histogram change) is a good way to protect profits or minimize losses. Potential Improvements: Parameter Inputs: Make the MACD (12, 26, 9) and EMA(50) values adjustable by the user through input statements for better customization during backtesting. Example: pine Copy code macdFast = input(12, title="MACD Fast Length") macdSlow = input(26, title="MACD Slow Length") macdSignal = input(9, title="MACD Signal Line Length") emaLength = input(50, title="EMA Length") Stop Loss and Take Profit: The strategy currently lacks explicit stop-loss or take-profit levels, which are critical in a scalping strategy to manage risk and lock in profits. ATR-based or fixed-percentage exits could be added for better control. Position Size and Risk Management: While the script uses 50% of equity per trade, additional options (e.g., fixed position sizes or risk-adjusted sizes) would be beneficial for flexibility. Avoid Overlapping Signals: Add logic to prevent overlapping signals (e.g., opening a new position immediately after closing one on the same bar). Backtesting Optimization: Consider adding labels or markers (label.new or plotshape) to visualize entry and exit points on the chart for better debugging and analysis. The inclusion of performance metrics like max drawdown, Sharpe ratio, or profit factor would help assess the strategy's robustness during backtesting. Compatibility with Live Trading: The strategy could be further enhanced with alert conditions using alertcondition to notify the trader of buy/sell signals in real-time.
Pine Script® strategy
by dreamfalling0
MACD StrategyOverview The "MACD Strategy" is a straightforward trading strategy tested for BTCUSDT Futures on the 1-minute timeframe, leveraging the Moving Average Convergence Divergence (MACD) indicator to identify momentum-based buy and sell opportunities. Developed with input from expert trading analyst insights, this strategy combines technical precision with risk management, making it suitable for traders of all levels on platforms like TradingView. It focuses on capturing trend reversals and momentum shifts, with clear visual cues and automated alerts for seamless integration with trading bots (e.g., Bitget webhooks). #### How It Works This strategy uses the MACD indicator to generate trading signals based on momentum and trend direction: - **Buy Signal**: Triggered when the MACD line crosses above the signal line, and the MACD histogram turns positive (above zero). This suggests increasing bullish momentum. - **Sell Signal**: Triggered when the MACD line crosses below the signal line, and the MACD histogram turns negative (below zero), indicating growing bearish momentum. Once a signal is detected, the strategy opens a position (long for buy, short for sell) with a position size calculated based on your risk tolerance. It includes a stop-loss to limit losses and a take-profit to lock in gains, both dynamically adjusted using the Average True Range (ATR) for adaptability to market volatility. #### Key Features - **MACD-Based Signals**: Relies solely on MACD for entry points, plotted in a separate pane for clear momentum analysis. - **Risk Management**: Automatically calculates position size based on a percentage of your account balance and sets stop-loss and take-profit levels using ATR multipliers and a risk:reward ratio. - **Visual Feedback**: Plots entry, stop-loss, and take-profit lines on the chart with labeled markers for easy tracking. - **Alerts**: Includes Bitget webhook-compatible alerts for automated trading, notifying you of buy and sell signals in real-time. #### Input Parameters - **Account Balance**: Default 10000 – Set your initial trading capital to determine position sizing. - **MACD Fast Length**: Default 12 – The short-term EMA period for MACD sensitivity. - **MACD Slow Length**: Default 26 – The long-term EMA period for MACD calculation. - **MACD Signal Length**: Default 9 – The smoothing period for the signal line. - **Risk Per Trade (%)**: Default 3.0 – The percentage of your account balance risked per trade (e.g., 3% of 10000 = 300). - **Risk:Reward Ratio**: Default 3.0 – The ratio of potential profit to risk (e.g., 3:1 means risking 1 to gain 3). - **SL Multiplier**: Default 1.0 – Multiplies ATR to set the stop-loss distance (e.g., 1.0 x ATR). - **TP Multiplier**: Default 3.0 – Multiplies ATR to set the take-profit distance, adjusted by the risk:reward ratio. - **Line Length (bars)**: Default 25 – Duration in bars for displaying trade lines on the chart. - **Label Position**: Default 'left' – Position of text labels (left or right) relative to trade lines. - **ATR Period**: Default 14 – The number of periods for calculating ATR to measure volatility. #### How to Use 1. **Add to Chart**: Load the "MACD Strategy" as a strategy and the "MACD Indicator" as a separate indicator on your TradingView chart (recommended for BTCUSDT Futures on the 1-minute timeframe). 2. **Customize Settings**: Adjust the input parameters based on your risk tolerance and market conditions. For BTCUSDT Futures, consider reducing `Risk Per Trade (%)` during high volatility (e.g., 1%) or increasing `SL Multiplier` for wider stops. 3. **Visual Analysis**: Watch the main chart for trade entry lines (green for buy, red for sell), stop-loss (red), and take-profit (green) lines with labels. Use the MACD pane below to confirm momentum shifts. 4. **Set Alerts**: Create alerts in TradingView for "Buy Signal" and "Sell Signal" to automate trades via Bitget webhooks. 5. **Backtest and Optimize**: Test the strategy on historical BTCUSDT Futures 1-minute data to fine-tune parameters. The short timeframe requires quick execution, so monitor closely for slippage or latency. #### Tips for Success - **Market Conditions**: This strategy performs best in trending markets on the 1-minute timeframe. Avoid choppy conditions where MACD crossovers may produce false signals. - **Risk Management**: Start with the default 3% risk per trade and adjust downward (e.g., 1%) during volatile periods like BTCUSDT news events. The 3:1 risk:reward ratio targets consistent profitability. - **Timeframe**: Optimized for 1-minute charts; switch to 5-minute or 15-minute for less noise if needed. - **Confirmation**: Cross-check MACD signals with price action or support/resistance levels for higher accuracy on BTCUSDT Futures. #### Limitations - This strategy relies solely on MACD, so it may lag in fast-moving or sideways markets. Consider adding a secondary filter (e.g., RSI) if needed. - Stop-loss and take-profit are ATR-based and may need adjustment for BTCUSDT Futures’ high volatility, especially during leverage trading. #### Conclusion The "MACD Strategy" offers a simple yet effective way to trade momentum shifts using the MACD indicator, tested for BTCUSDT Futures on the 1-minute timeframe, with robust risk management and visual tools. Whether you’re scalping crypto futures or exploring short-term trends, this strategy provides a solid foundation for automated or manual trading. Share your feedback or customizations in the comments, and happy trading!
Pine Script® strategy
by thetraderlodge
MACD Enhanced Strategy MTF with Stop Loss [LTB]Test strategy for MACD This strategy, named "MACD Enhanced Strategy MTF with Stop Loss ," is a modified Moving Average Convergence Divergence (MACD) strategy with enhancements such as multi-timeframe (MTF) analysis, custom scoring, and a dynamic stop loss mechanism. Let’s break down how to effectively use it: Key Elements of the Strategy MACD Indicator with Modifications: The strategy uses MACD, a well-known momentum indicator, with customizable parameters: fastLength, slowLength, and signalLength represent the standard MACD settings. Instead of relying solely on MACD crossovers, it introduces scoring parameters for histogram direction (histside), indicator direction (indiside), and signal cross (crossscore). This allows for a more nuanced decision-making process when determining buy and sell signals. Multi-Timeframe Analysis (MTF): The strategy compares the current timeframe's MACD score with that of a higher timeframe (HTF). It dynamically selects the higher timeframe based on the current timeframe. For example, if the current chart period is 1, it will select 5 as the higher timeframe. This MTF approach aims to align trades with broader trends, filtering out false signals that could be present when analyzing only a single timeframe. Scoring System: A custom scoring system (count() function) is used to evaluate buy and sell signals. This includes calculations based on the direction and momentum of MACD (indi) and the histogram. The score is used to determine the strength of signals. Positive scores indicate bullish sentiment, while negative scores indicate bearish sentiment. This scoring mechanism aims to reduce the influence of noise and provide more reliable entries. Entry Conditions: Long Condition: When the Result value (a combination of MTF and current MACD analysis) changes and becomes positive, a long entry is triggered. Short Condition: When the Result changes and becomes negative, a short entry is initiated. Stop Loss Mechanism: The countstop() function calculates dynamic stop loss values for both long and short trades. It is based on the Average True Range (ATR) multiplied by a factor (Mult), providing adaptive stop loss levels depending on market volatility. The stop loss is plotted on the chart to show potential risk levels for open trades, with the line appearing only if shotsl is enabled. How to Use the Strategy To properly use the strategy, follow these steps: Parameter Optimization: Adjust the input parameters such as fastLength, slowLength, and signalLength to tune the MACD indicator to the specific asset you’re trading. The values provided are typical defaults, but optimizing these values based on backtesting can help improve performance. Customize the scoring parameters (crossscore, indiside, histside) to balance how much weight you want to put on the direction, histogram, and cross events of the MACD indicator. Select Appropriate Timeframes: This strategy employs a multi-timeframe (MTF) approach, so it's important to understand how the higher timeframe (HTF) is selected based on the current timeframe. For instance, if you are trading on a 5-minute chart, the higher timeframe will be 15 minutes, which helps filter out lower timeframe noise. Ensure you understand the relationship between the timeframe you’re using and the HTF it automatically selects. The strategy’s effectiveness can vary depending on how these timeframes align with the asset’s overall volatility. Run Backtests: Always backtest the strategy over historical data to determine its reliability for the asset and timeframes you’re interested in. Note that the MTF approach may require substantial data to capture how different timeframes interact. Use the backtest results to adjust the scoring parameters or the Stop Loss Factor (Mult) for better risk management. Stop Loss Usage: The stop loss is calculated dynamically using ATR, which means that it adjusts with changing volatility. This can be useful to avoid being stopped out too often during periods of increased volatility. The shotsl parameter can be set to true to visualize the stop loss line on the chart. This helps to monitor the protection level and make better decisions regarding holding or closing a trade manually. Entry Signals and Trade Execution: Look for changes in the Result value to determine entry points. For a long position, the Result needs to become positive, and for a short position, it must be negative. Note that the strategy's entries are more conservative because it waits for the Result to confirm the direction using multiple factors, which helps filter out false breakouts. Risk Management: The adaptive stop loss mechanism reduces the risk by basing the stop level on market volatility. However, you must still consider additional risk management practices such as position sizing and profit targets. Given the scoring mechanism, it might not enter trades frequently, which means using this strategy may result in fewer but potentially more accurate trades. It’s important to be patient and not force trades that don’t align with the calculated results. Real-Time Monitoring: Make sure to monitor trades actively. Since the strategy recalculates the score on each bar, real-time changes in the Result value could provide exit opportunities even if the stop loss isn't triggered. Summary The "MACD Enhanced Strategy MTF with Stop Loss " is a sophisticated version of the MACD strategy, enhanced with multi-timeframe analysis and adaptive stop loss. Properly using it involves optimizing MACD and scoring parameters, selecting suitable timeframes, and actively managing entries and exits based on a combination of scoring and volatility-based stop losses. Always conduct thorough backtesting before applying it in a live environment to ensure the strategy performs well on the asset you're trading.
Pine Script® strategy
by skigoogs
4
MacD (Future Known or Unknown) StrategyThis indicator/strategy is to be used as a way to baseline the top potential any strategy could have with other strategies and indicators. What I have created literally shows the BEST moves possible you could have made in my opinion for SHORTING or LONGING using only the MacD values of the 4 hour while on the 30 minute chart. To use this, try checking out XBTUSD on the 30 minute chart . It will work under different time frames but works best on the 30 minute chart in my opinion. It WILL NOT WORK Above 2 hours time frame. DO NOT TRADE WITH THIS indicator . I can't emphasize this enough. These results only work because of the lookahead_on parameter. A lot of scam indicators and strategies use this to trick people on tradingView into buying their scripts. This code is OPEN SOURCE and as such there is nothing to hide and no scam! I like to use this as a comparison tool for how good I 'could' have traded and at what points those were. By knowing where the perfect trading positions are, you can create real indicators and scripts that try to find patterns in those positions. This also shows that IF you could know the direction the MacD was going what amazing results you could get ^_~. This is meant purely for entertainment purposes and for comparing against your own scripts. I've included the options in the settings to allow ONLY LONG or ONLY SHORTS. By default it attempts both buy attempts. You can also change your starting ($) amount and commission percentage that is taken per trade as well. Also included in the options is the ability to set the back testing time frame to see how it performs during just certain time periods. Finally a color explanation Red - MacD 4 hour going down Green - MacD 4 hour going up Purple - MacD 4 hour going down (from an up position) Yellow - MacD 4 hour going up (from a down position) Notice the program will always buy right before it turns into a yellow color since it knows the future. In the options you can turn off 'use the future' to see the horrible results if you trade the moment you know which direction the MacD 4 hour is actually going. I will revise this script in the future with attempts to work without knowing the future as play options to get better results. If you have any questions or comments, please do not hesitate to ask!
Pine Script® strategy
by Gentleman-Goat
20
MACD StrategyNRTH_ MACD strategy, packed with alerts, visual backtesting, and ready for automation. Comes included with the Premium Package. Indicator features Built-In Alerts Visual Risk Management Customizable Entry Rules Usage Tips Works on any timeframe, tweak period lengths accordingly. Recommended for use on higher timeframes, with the MA Filter Simple, and customizable MACD strategy, trade with a defined exit strategy and entry parameters. Works for all markets with the ability to customize to your liking. Backtesting Results Info Period 1/1/2021-1/10/2021 Entry value at $1000 with 10x leverage ATR Exits : 1:2 RR ------------------------------------------- Disclaimer Copyright NRTH_ Indicators 2021. ​‍NRTH_ and all affiliated parties are not registered as financial advisors. The products & services NRTH_ offers are for educational purposes only and should not be construed as financial advice. You must be aware of the risks and be willing to bear any level of risk to invest in financial markets. Past performance is not necessarily indicative of future results. NRTH_ and all individuals associated assume no responsibility for your trading results or investments. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, or individual’s trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Pine Script® strategy
by NRTH_Indicators
1
MACD BFThis is a modified version of the MACD strategy in the public library. You can set the time period you want in the input parameters, along with the MACD and signal line values. The default values for this strategy are 12, 26, 12. These settings seem favorable to BTC/USD pairs. The strategy is simple - when the histogram crosses above zero, a buy signal is generated, when it crosses below zero, a sell signal is generated. If an opposing signal is generated, we exit the current trade and enter the new one. You can set a stop-loss as a percentage in the input parameters - for example, if you enter 5, the strategy will exit when the trade goes the wrong way by 5%. The default money management strategy is to trade 100% of the equity. This can be changed in input settings like it can with any strategy.
Pine Script® strategy
by bennef
MACD MTF Strategy [JoseMetal]============ ENGLISH ============ - Description: This strategy uses my indicator MACD MTF (check my profile) to generate entries, it also has ATR to define Stop Loss and Take Profit if needed. The strategy has several customizable options, which allows you to refine the strategy for your asset and timeframe. You can customize settings for ALL indicator settings (MACD MTF and ATR). - CUSTOM CONDITIONS TO ENTER A POSITION: 1. Both MACDs agree (current timeframe and higher timeframe). 2. Current timeframe MACD crossover. 3. Higher timeframe MACD crossover. 4. MACDs no longer agree with each other. - EXIT CONDITION: 1. Predefined Stop Loss and Take Profit based on ATR (stop can be previous wick). 2. MACDs no longer agree with each other. 3. Opposite position entry. - STOP LOSS TYPE: 1. ATR. 2. Previous wick. - OTHER OPTIONS: You can customize any setting for my MACD MTF and ATR. - Visual: ATR is shown for the Stop Loss / Take Profit. The script prints the Take Profit as a green line, Stop Loss as a red line and entry price with a white line. - Recommendations: Recommended on 8H or 12H timeframe for the CURRENT timeframe, while using DAILY for the higher timeframe on the MACD MFT (by default). Entry when BOTH MACDs agree and exit on opposite entry, this has NO TAKE PROFIT or STOP LOSS, so be careful, but gives the BEST profit overall, and being on 8H/12H + Daily lets you relax. - Customization: As you can see, almost everything is customizable, for colors and plotting styles check the "Style" tab. Enjoy! ============ ESPAÑOL ============ - Descripción: Esta estrategia utiliza mi indicador MACD MTF (revisa mi perfil) para generar entradas, también cuenta con ATR para definir Stop Loss y Take Profit si es necesario. La estrategia tiene varias opciones personalizables, lo te le permiten refinar la estrategia para te activo y temporalidad. Puedes personalizar la configuración de TODOS los indicadores (MACD MTF y ATR). - CONDICIONES PERSONALIZADAS PARA ENTRAR EN UNA POSICIÓN: 1. Ambos MACDs coinciden (temporalidad actual y temporalidad superior). 2. Cruce del MACD en el marco de tiempo actual. 3. Cruce del MACD en el marco temporal superior. 4. Los MACD ya no coinciden entre sí (están en desacuerdo). - CONDICIÓN DE SALIDA: 1. Stop Loss y Take Profit predefinidos basados en el ATR (el stop puede ser la mecha anterior). 2. Los MACDs ya no coinciden entre sí (están en desacuerdo). 3. Entrada en posición contraria. - TIPO DE STOP LOSS: 1. ATR. 2. Mecha anterior. - OTRAS OPCIONES: Puede personalizar cualquier ajuste para mi MACD MTF y ATR. - Visual: El ATR se muestra para el Stop Loss / Take Profit. El script imprime el Take Profit como una línea verde, el Stop Loss como una línea roja y el precio de entrada con una línea blanca. - Recomendaciones: Se recomienda en el marco de tiempo 8H o 12H para el marco de tiempo ACTUAL, mientras que se utiliza DIARIO para el marco de tiempo superior en el MACD MFT (por defecto). Entrar cuando AMBOS MACDs están de acuerdo y salir en la entrada opuesta, esto no tiene TAKE PROFIT o STOP LOSS, así que tenga cuidado, pero da el MEJOR beneficio en general, y estar en 8H/12H + Diario le permite relajarse. - Personalización: Como puedes ver, casi todo es personalizable, para colores y estilos de trazado revisa la pestaña "Estilo". ¡Que lo disfrutes!
Pine Script® strategy
by JoseMetal
3
MACD of Relative Strenght StrategyMACD Relative Strenght Strategy : INTRODUCTION : This strategy is based on two well-known indicators: MACD and Relative Strenght (RS). By coupling them, we obtain powerful buy signals. In fact, the special feature of this strategy is that it creates an indicator from an indicator. Thus, we construct a MACD whose source is the value of the RS. The strategy only takes buy signals, ignoring SHORT signals as they are mostly losers. There's also a money management method enabling us to reinvest part of the profits or reduce the size of orders in the event of substantial losses. RELATIVE STRENGHT : RS is an indicator that measures the anomaly between momentum and the assumption of market efficiency. It is used by professionals and is one of the most robust indicators. The idea is to own assets that do better than average, based on their past performance. We calculate RS using this formula : RS = close/highest_high(RS_Length) Where highest_high(RS_Length) = highest value of the high over a user-defined time period (which is the RS_Length). We can thus situate the current price in relation to its highest price over this user-defined period. MACD (Moving Average Convergence - Divergence) : This is one of the best-known indicators, measuring the distance between two exponential moving averages : one fast and one slower. A wide distance indicates fast momentum and vice versa. We'll plot the value of this distance and call this line macdline. The MACD uses a third moving average with a lower period than the first two. This last moving average will give a signal when it crosses the macdline. It is therefore constructed using the values of the macdline as its source. It's important to note that the first two MAs are constructed using RS values as their source. So we've just built an indicator of an indicator. This kind of method is very powerful because it is rarely used and brings value to the strategy. PARAMETERS : RS Length : Relative Strength length i.e. the number of candles back to find the highest high and compare the current price with this high. Default is 300. MACD Fast Length : Relative Strength fast EMA length used to plot the MACD. Default is 14. MACD Slow Length : Relative Strength slow EMA length used to plot the MACD. Default is 26. MACD Signal Smoothing : Macdline SMA length used to plot the MACD. Default is 10. Max risk per trade (in %) : The maximum loss a trade can incur (in percentage of the trade value). Default is 8%. Fixed Ratio : This is the amount of gain or loss at which the order quantity is changed. Default is 400, meaning that for each $400 gain or loss, the order size is increased or decreased by a user-selected amount. Increasing Order Amount : This is the amount to be added to or subtracted from orders when the fixed ratio is reached. The default is $200, which means that for every $400 gain, $200 is reinvested in the strategy. On the other hand, for every $400 loss, the order size is reduced by $200. Initial capital : $1000 Fees : Interactive Broker fees apply to this strategy. They are set at 0.18% of the trade value. Slippage : 3 ticks or $0.03 per trade. Corresponds to the latency time between the moment the signal is received and the moment the order is executed by the broker. Important : A bot has been used to test the different parameters and determine which ones maximize return while limiting drawdown. This strategy is the most optimal on BITSTAMP:ETHUSD in 8h timeframe with the parameters set by default. ENTER RULES : The entry rules are very simple : we open a long position when the MACD value turns positive. You are therefore LONG when the MACD is green. EXIT RULES : We exit a position (whether losing or winning) when the MACD becomes negative, i.e. turns red. RISK MANAGEMENT : This strategy can incur losses, so it's important to manage our risks well. If the position is losing and has incurred a loss of -8%, our stop loss is activated to limit losses. MONEY MANAGEMENT : The fixed ratio method was used to manage our gains and losses. For each gain of an amount equal to the value of the fixed ratio, we increase the order size by a value defined by the user in the "Increasing order amount" parameter. Similarly, each time we lose an amount equal to the value of the fixed ratio, we decrease the order size by the same user-defined value. This strategy increases both performance and drawdown. Enjoy the strategy and don't forget to take the trade :)
Pine Script® strategy
by geneZ_fi
2
MACD Trend Trading with Dynamic Position Sizing // AlgoFyreThe MACD Trend Trading with Dynamic Position Sizing strategy combines MACD and trend indicators for trend trading. It uses MACD crossovers to identify entry points and a trend source for directional bias. The strategy incorporates risk management through dynamic position sizing based on a fixed risk amount. It allows for both long and short positions with customizable stop-loss and take-profit levels. The script includes visualization options for entry, stop-loss, and take-profit levels, enhancing trade analysis. TABLE OF CONTENTS 🔶 ORIGINALITY 🔸Dynamic Position Sizing 🔸Trend-MACD Combination 🔸Customizable Risk Management 🔶 FUNCTIONALITY 🔸Indicators 🞘 Trend Indicator 🞘 Moving Average Convergence Divergence (MACD) 🔸Conditions 🞘 Long Entry 🞘 Short Entry 🔶 INSTRUCTIONS 🔸Step-by-Step Guidelines 🞘 Setting Up the Strategy 🞘 Alerts 🔸Customize settings 🔶 CONCLUSION ▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅ 🔶 ORIGINALITY The MACD Trend Trading with Dynamic Position Sizing strategy uniquely combines MACD indicators with trend analysis to optimize entry and exit points. Unlike static trading strategies, it employs dynamic position sizing based on a fixed risk amount, ensuring consistent risk management. This approach allows traders to adapt to varying market conditions by adjusting position sizes according to predefined risk parameters, enhancing both flexibility and control in trading decisions. The strategy's integration of customizable stop-loss and take-profit levels further refines its risk management capabilities, making it a robust tool for both trending and volatile markets. 🔸Dynamic Position Sizing This strategy calculates position sizes dynamically, based on a fixed risk amount, allowing traders to maintain consistent risk exposure across trades. 🔸Trend-MACD Combination By combining trend direction with MACD crossovers, the strategy enhances the accuracy of entry signals, aligning trades with prevailing market trends. 🔸Customizable Risk Management Traders can set flexible risk-reward ratios and adjust stop-loss and take-profit levels, tailoring the strategy to their risk tolerance and market conditions. 🔶 FUNCTIONALITY The MACD Trend Trading with Dynamic Position Sizing strategy leverages a combination of trend indicators and the MACD to identify optimal trading opportunities. This strategy is designed to capitalize on short-term price movements by dynamically adjusting position sizes based on predefined risk parameters. It allows traders to manage risk effectively while taking advantage of both long and short positions. 🔸Indicators 🞘 Trend Indicator: Utilizes the trend source to determine market direction, ensuring trades align with prevailing trends. Recommendation: We recommend using the Adaptive MAs (Hurst, CVaR, Fractal) indicator with the following settings for trend detection. However, you can use any trend indicator that suits your trading style. 🞘 Moving Average Convergence Divergence (MACD): Employs MACD crossovers to generate entry signals, enhancing the accuracy of trade execution. Use the "Moving Average Convergence Divergence" Indicator with the following settings: 🔸Conditions 🞘 Long Entry: Initiates a long position when the price is above the trend source, and a MACD crossover occurs with both MACD and signal lines below zero. 🞘 Short Entry: Initiates a short position when the price is below the trend source, and a MACD crossunder occurs with both MACD and signal lines above zero. 🔶 INSTRUCTIONS The MACD Trend Trading with Dynamic Position Sizing strategy can be set up by adding it to your TradingView chart and configuring parameters such as the MACD source, trend source, and risk management settings. This strategy is designed to capitalize on short-term price movements by dynamically adjusting position sizes based on predefined risk parameters. Enhance the accuracy of signals by combining this strategy with additional indicators like trend-following or momentum-based tools. Adjust settings to better manage risk and optimize entry and exit points. 🔸Step-by-Step Guidelines 🞘 Setting Up the Strategy Adding the Strategy to the Chart: Go to your TradingView chart. Click on the "Indicators" button at the top. Search for "MACD Trend Trading with Dynamic Position Sizing" in the indicators list. Click on the strategy to add it to your chart. Configuring the Strategy: Open the strategy settings by clicking on the gear icon next to its name on the chart. MACD: Select the MACD from the MACD Indicator. MACD Signal: Select the MACD Signal from the MACD Indicator. Trend Source: Choose the trend source to determine market direction. If you use the Adaptive MAs (Hurst, CVaR, Fractal) with our settings shown above, choose the MA1 Smoothing Line. Stop Loss Percentage: Set the stop loss distance from the trend source as a percentage. Risk/Reward Ratio: Define the desired risk/reward ratio for trades. Backtesting and Practice: Backtest the strategy on historical data to understand how it performs in various market environments. Practice using the strategy on a demo account before implementing it in live trading. Market Awareness: Keep an eye on market news and events that might cause extreme price movements. The strategy reacts to price data and might not account for news-driven events that can cause large deviations. 🔶 CONCLUSION The MACD Trend Trading with Dynamic Position Sizing strategy provides a robust framework for capitalizing on short-term market trends by combining the MACD indicator with dynamic position sizing. This strategy leverages MACD crossovers to identify entry points and utilizes a trend source for directional bias, ensuring trades align with prevailing market conditions. By incorporating dynamic position sizing based on a fixed risk amount, traders can effectively manage risk and adapt to varying market conditions. The strategy's customizable stop-loss and take-profit levels further enhance its risk management capabilities, making it a versatile tool for both trending and volatile markets. With its strategic blend of technical indicators and risk management, the MACD Trend Trading strategy offers traders a comprehensive approach to optimizing trade execution and maximizing potential returns.
Pine Script® strategy
by AlgoFyre
MACD Volume Strategy (BBO + MACD State, Reversal Type)Overview MACD Volume Strategy (BBO + MACD State, Reversal Type) is a momentum-based reversal system that combines MACD crossover logic with volume filtering to enhance signal accuracy and minimize noise. It aims to identify structural trend shifts and manage risk using predefined parameters. ※This strategy is for educational and research purposes only. All results are based on historical simulations and do not guarantee future performance. Strategy Objectives Identify early trend transitions with high probability Filter entries using volume dynamics to validate momentum Maintain continuous exposure using a reversal-style model Apply a consistent 1:1.5 risk-to-reward ratio per trade Key Features Integrated MACD and volume oscillator filtering Zero repainting (all signals confirmed on closed candles) Automatic position flipping for seamless direction shifts Stop-loss and take-profit based on recent structural highs/lows Trading Rules Long Entry Conditions MACD crosses above the zero line (BBO Buy arrow) Volume oscillator is positive (short EMA > long EMA) MACD is above the signal line Close any existing short and enter a new long Short Entry Conditions MACD crosses below the zero line (BBO Sell arrow) Volume oscillator is positive MACD is below the signal line Close any existing long and enter a new short Exit Rules Take Profit (TP) = Entry ± (risk distance × 1.5) Stop Loss (SL) = Recent swing low (for long) or high (for short) Early Exit = Triggered when a reversal signal appears (flip logic) Risk Management Parameters Pair: ETH/USD Timeframe: 10-minute Starting Capital: $3,000 Commission: 0.02% Slippage: 2 pip Risk per Trade: 5% of account equity (adjusted for sustainable practice) Total Trades: 312 (backtest on selected dataset) ※Risk parameters are fully configurable and should be adjusted to suit each trader's personal setup and broker conditions. Parameters & Configurations Volume Short Length: 6 Volume Long Length: 12 MACD Fast Length: 11 MACD Slow Length: 21 Signal Smoothing: 10 Oscillator MA Type: SMA Signal Line MA Type: SMA Visual Support Green arrow = Long entry Red arrow = Short entry MACD lines, signal line, and histogram SL/TP markers plotted directly on the chart Strategic Advantages & Uniqueness Volume filtering eliminates low-participation, weak signals Structurally aligned SL/TP based on recent market pivots No repainting — decisions are made only on closed candles Always in the market due to the reversal-style framework Inspirations & Attribution This strategy is inspired by the excellent work of: Bitcoinblockchainonline – “BBO_Roxana_Signals MACD + vol” Leveraging MACD zero-line cross and volume oscillator for intuitive signal generation. HasanRifat – “MACD Fake Filter ” Introduced a signal filter using MACD wave height averaging to reduce false positives. This strategy builds upon those ideas to create a more automated, risk-aware, and technically adaptive system. Summary MACD Volume Strategy is a clean, logic-first automated trading system built for precision-seeking traders. It avoids discretionary bias and provides consistent signal logic under backtested historical conditions. 100% mechanical — no discretionary input required Designed for high-confidence entries Can be extended with filters, alerts, or trailing stops ※Strategy performance depends on market context. Past performance is not indicative of future results. Use with proper risk management and careful configuration.
Pine Script® strategy
by PakunFX
MacD Short and/or Long with Bi-Directional TP and SL This tool allows you to test any variable value for MacD and Signal for going Long or Short with each market direction having customizable values for stop loss and take profit. For example, sometimes the MacD and Signal values are better with different lengths between Short and Long. You can use this tool to see them overlaid and determine the best settings for going one direction or the other. This script was preset for use with XBTUSD on the 4 hour time frame. Another example with this in mind, is take profits and stop losses might not work in the Long market direction but going Short does! Without this tool that would be hard to see since typically stop loss and take profit is applied to both directions. I found with this tool that a 20% take profit seems to be a good sweet spot for going short with this strategy. You can customize which MacD histogram you see by going to the style section and turning off the Short or Long parameters so you can see only 1 histogram at a time if you wish. If you have any questions, please PM me.
Pine Script® strategy
by Gentleman-Goat
19
Macd Divergence + MTF EMA MACD Divergence + Multi Time Frame EMA This Strategy uses 3 indicators: the Macd and two emas in different time frames The configuration of the strategy is: Macd standar configuration (12, 26, 9) in 1H resolution 10 periods ema, in 1H resolution 5 periods ema, in 15 minutes resolution We use the two emas to filter for long and short positions. If 15 minutes ema is above 1H ema, we look for long positions If 15 minutes ema is below 1H ema, we look for short positions We can use an aditional filter using a 100 days ema, so when the 15' and 1H emas are above the daily ema we take long positions Using this filter improves the strategy We wait for Macd indicator to form a divergence between histogram and price If we have a bullish divergence, and 15 minutes ema is above 1H ema, we wait for macd line to cross above signal line and we open a long position If we have a bearish divergence, and 15 minutes ema is below 1H ema, we wait for macd line to cross below signal line and we open a short position We close both position after a cross in the oposite direction of macd line and signal line Also we can configure a Take profit parameter and a trailing stop loss
Pine Script® strategy
by Trading_Solutions_
10
MACD, RSI, & RVOL Strategy This strategy combines the use of MACD (12, 26, 9), RSI (14, 30, 70), and RVOL (14) to create Long Buy and Sell signals. This works well with many different time intervals but was developed with 15-minute intervals in mind. Using MACD as a reference, the strategy identifies when the MACD line crosses over (a factor in a buy signal) and under (a factor in a Sell signal) the Signal line. This shows a shift in positive (cross over) and negative (cross under) of a security. Using the Relative Strength Index ( RSI ) as an indicator, the strategy notices when the velocity and magnitude of the directional price movements cross over the Oversold signal (30) and crosses under the Overbought signal (70) as a factor in creating a Buy and Sell signal. Using Relative Volume (RVOL) as an indicator, the strategy calculates when the current volume has crossed over the 2x average volume indicator over a given period and is then used as a factor in creating a Buy signal. RVOL is also used when the change in volume crosses under a set RVOL number (in this strategy, it is set to a RVOL of 5). RVOL = Current Volume / Average Volume over a certain period This strategy indicates a Buy signal when 2/3 conditions are met: - RSI Cross Over the Over Sold signal (default 30) - MACD Cross Over of Signal ( MACD > Signal) - RVOL Cross Over of 2 (RVOL > 2) This strategy indicates a Sell signal when 2/3 conditions are met: - RSI Cross Under the Over Bought signal (default 70) - MACD Cross Under of Signal ( MACD < Signal) - RVOL Cross Under 5 (RVOL < 5) Enjoy and leave feedback!
Pine Script® strategy
by BobBarker42069
4