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MACD ReLoaded STRATEGY

Script from: TradingView

Swing

Momentum

Trend following

Volume

The MACD ReLoaded Strategy enhances the classic MACD by allowing users to select from 11 different moving average types, optimizing for either responsiveness or smoothness. Each type, from the standard SMA and EMA to the more niche TILL and WWMA, provides distinct advantages in varying market conditions. Backtesting reveals shorter timeframes benefit from TILL, WWMA, and VIDYA for fewer false signals, while WMA and SMA prevail for accuracy on daily charts. Customizable parameters and volume weighting options like Dormeier's V2 offer further refinement to this versatile momentum strategy.

Shiba Inu / United States Dollar (SHIBUSD)

+ MACD ReLoaded STRATEGY

@ Daily

2.85

Risk Reward

10,194.21 %

Total ROI

32

Total Trades

Mantle (MNTUSD)

+ MACD ReLoaded STRATEGY

@ 4 h

1.36

Risk Reward

9.49 %

Total ROI

17

Total Trades

Toncoin (TONUSD)

+ MACD ReLoaded STRATEGY

@ 4 h

1.19

Risk Reward

584.52 %

Total ROI

248

Total Trades

Bitcoin SV (BSVUSD)

+ MACD ReLoaded STRATEGY

@ 4 h

1.14

Risk Reward

488.73 %

Total ROI

461

Total Trades

Mantle (MNTUSD)

+ MACD ReLoaded STRATEGY

@ 2 h

1.14

Risk Reward

4.34 %

Total ROI

29

Total Trades

Crypto.com Coin / United States Dollar (CROUSD)

+ MACD ReLoaded STRATEGY

@ Daily

1.14

Risk Reward

109.53 %

Total ROI

36

Total Trades

Enovix Corporation (ENVX)

+ MACD ReLoaded STRATEGY

@ Daily

1.30

Risk Reward

164.11 %

Total ROI

32

Total Trades

Peloton Interactive, Inc. (PTON)

+ MACD ReLoaded STRATEGY

@ 2 h

1.29

Risk Reward

824.08 %

Total ROI

188

Total Trades

XP Inc. (XP)

+ MACD ReLoaded STRATEGY

@ Daily

1.27

Risk Reward

118.01 %

Total ROI

41

Total Trades

Roivant Sciences Ltd. (ROIV)

+ MACD ReLoaded STRATEGY

@ 1 h

1.25

Risk Reward

202.63 %

Total ROI

233

Total Trades

Bank of America Corporation (BAC)

+ MACD ReLoaded STRATEGY

@ 2 h

1.24

Risk Reward

258.77 %

Total ROI

821

Total Trades

Transocean Ltd (Switzerland) (RIG)

+ MACD ReLoaded STRATEGY

@ Daily

1.23

Risk Reward

422.64 %

Total ROI

291

Total Trades
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Guide

How does the MACD ReLoaded STRATEGY strategy work ?

The MACD ReLoaded Strategy refines the traditional Moving Average Convergence Divergence (MACD) by offering a selection of 11 different moving average types, allowing for customization in detecting market trends. Traders can choose from Simple Moving Average (SMA), Exponential Moving Average (EMA), Weighted Moving Average (WMA), among others, to tailor the sensitivity and response of their MACD indicator.

In essence, the strategy involves calculating two line components — the MACD line created by subtracting the long moving average from the short moving average, and the Signal line which is typically a moving average of the MACD line. These components help identify directional momentum by signaling bullish or bearish trends when they cross over or under each other.

Additional features include bar coloring to visually enhance buy and sell signals, with green bars indicating a bullish trend (buy signal), and red bars suggesting a bearish trend (sell signal). The strategy inputs default to using the Double Exponential Moving Average (DEMA), but users can switch to any of the 11 types for backtesting on different timeframes where some averages like TILL, WWMA, and VIDYA might reduce whipsaws, whereas WMA and SMA may provide more accuracy on daily charts.

Traders are advised to maintain the proportional relationship of the default parameters (26/12/9) when optimizing to ensure MACD remains effective with the chosen moving average type. The strategy script facilitates backtesting within a specified time window and automates trade entries based on the MACD crossing over or below the zero line to signal long or short positions.

How to use the MACD ReLoaded STRATEGY strategy ?

This trading strategy uses a Moving Average Convergence Divergence (MACD) indicator with customizable length settings for the moving averages and a dynamic volume factor. It generates buy signals on a MACD line crossover above the signal line, and sell signals on a crossunder. Unique coloring of bars provides a visual representation of the trend direction.

To trade this strategy manually on TradingView:

  • Choose the type of moving average (e.g., SMA, EMA) for calculation.
  • Calculate two moving averages (MA) with lengths of 12 and 26 periods for the short and long term MAs respectively.
  • Subtract the 26-period MA from the 12-period MA to get the MACD line.
  • Calculate the signal line using a 9-period moving average of the MACD line.
  • Plot both the MACD line and the signal line on the chart to identify crossovers and crossunders.
  • Enter a buy trade when the MACD line crosses above the signal line (crossover), and a sell trade when the MACD line crosses below the signal line (crossunder).
  • Optional: Apply bar coloring where green indicates a recent buy signal and red indicates a recent sell signal.
  • Maintain time window constraints (optional) if you want signals within a specific period.

For visual aid, you can plot the MACD histogram, which is the difference between the MACD line and the signal line, to more clearly see crossovers and crossunders. Remember to close positions based on your exit strategy, which could be an opposing signal or a predefined take profit/stop loss level.

How to optimize the MACD ReLoaded STRATEGY trading strategy ?

Improving the MACD ReLoaded Strategy manually entails a comprehensive approach that considers different market conditions, fine-tuning of parameters, and incorporation of supplementary tools to enhance accuracy. Here is a strategic plan to optimize the strategy:

  • Select the optimal moving average type: Start by evaluating various moving averages available in the MACD ReLoaded Strategy. For short timeframes, prioritize moving averages such as TILL, WWMA, or VIDYA to reduce the number of signals and mitigate whipsaws. Conversely, for daily charts or longer timeframes, consider WMA or SMA for their precision in trend identification.
  • Backtest extensively: Use TradingView's backtesting feature to test each moving average type across different market conditions. Run simulations using historical data to gauge effectiveness and adjust the lengths of the moving averages based on performance.
  • Introduce additional indicators: Combine the MACD with other technical indicators, such as Relative Strength Index (RSI), Bollinger Bands, or Stochastic Oscillator, to filter signals. For instance, confirm a buy signal with an RSI reading below 70, indicating the asset is not overbought.
  • Implement volume analysis: Confirm the strength of MACD signals with volume patterns. An increasing volume during a buy signal suggests strong buying pressure, enhancing the signal reliability.
  • Set time frame constraints: Apply the strategy within selected time windows where it has historically performed well. Avoid trading during high-impact news releases unless the strategy has proven effective in such volatile conditions through backtesting.
  • Diversify across assets: Test the strategy across different assets. Some moving averages may work better with specific financial instruments, like stocks or forex pairs.
  • Adopt a dynamic approach to parameter adjustments: Regularly review and adjust the MACD parameters to maintain their proportional relationship (such as 26/12/9). Adapt the lengths based on shifting market volatility and trend strength.
  • Utilize price action confirmation: Strengthen entry signals by confirming them with price action patterns like candlestick formations. Combining technical momentum signals with price action can provide a more holistic view of the market.

Through careful selection of moving averages, extensive backtesting, incorporation of additional technical tools, and vigilant parameter adjustments, manual traders can significantly improve the efficacy of the MACD ReLoaded Strategy across various market scenarios.

For which kind of traders is the MACD ReLoaded STRATEGY strategy suitable ?

The MACD ReLoaded Strategy is designed for traders who revel in customization and actively seek to refine their technical analysis tools. It caters to:

  • Technical day traders: With options to alter moving averages, day traders can fine-tune the strategy to adapt to short-term price movements and minimize lag.
  • Momentum traders: Since MACD is a momentum indicator, those who follow trend momentum can leverage this strategy to pinpoint entry and exit points.
  • Quantitative traders: This strategy suits traders who prefer a data-driven approach, offering ample scope for backtesting different settings.

Overall, it aligns with a versatile trading style, accommodating various market conditions by allowing adjustment of the moving average type, making it suitable for traders who prioritize adaptability and precision.

Key Takeaways of MACD ReLoaded STRATEGY

  • Strategy Nature: An advanced version of the classic MACD, allowing selection from 11 moving average types for personalized signaling.
  • Operation Method: Generates buy and sell signals through customizable MACD and Signal line crossovers under various market conditions.
  • Automation Potential: Scripted for automatic trade entries on TradingView, with an option for bar color visualization of trends.
  • Manual Enhancement: Traders can improve signals by incorporating other technical analysis tools and adjusting the moving average settings.
  • Optimization Approach: Backtesting different time frames and moving averages, and maintaining the MACD parameters’ proportional relationship.
  • Risk Management: Use price action, additional indicators, and volume analysis to confirm signals and define clear entry and exit points.

The strategy is versatile, fitting for technical day traders, momentum-driven individuals, and quantitative analysts seeking a customizable and adaptable trading approach.

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