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How to Make MACD Faster?

Published in Technical Indicators 2 mins read

To make the Moving Average Convergence Divergence (MACD) indicator faster and more responsive to price changes, use shorter periods for the Exponential Moving Averages (EMAs) used in its calculation.

Understanding the MACD

The MACD is calculated using three parameters:

  • The Fast EMA: A shorter-period EMA.
  • The Slow EMA: A longer-period EMA.
  • The Signal EMA: An EMA of the MACD line itself.

The standard settings are typically 12, 26, and 9, representing the periods for the Fast EMA, Slow EMA, and Signal EMA, respectively.

Shortening the EMA Periods

The key to speeding up the MACD lies in reducing these periods. Here's how it works:

  • Shorter EMAs react more quickly to recent price changes. By using shorter periods, the MACD will generate signals sooner.

Example: Fast MACD Settings for Day Trading

For day trading, where quicker signals are crucial, a common faster setting is 5, 13, and 6. This means:

  • Fast EMA: 5 periods
  • Slow EMA: 13 periods
  • Signal EMA: 6 periods

Comparison Table

Setting Fast EMA Slow EMA Signal EMA Responsiveness Use Case
Standard 12 26 9 Slower Swing Trading, Long-Term Investing
Faster (Example) 5 13 6 Faster Day Trading, Scalping

Considerations When Speeding Up MACD

While faster settings can provide quicker signals, keep in mind:

  • Increased Sensitivity: Faster MACD settings are more sensitive to price fluctuations, leading to more signals.
  • Potential for False Signals: This increased sensitivity can also result in more false signals, requiring traders to use additional confirmation methods.
  • Whipsaws: Faster MACDs can be prone to whipsaws, where the indicator generates a buy signal quickly followed by a sell signal (or vice versa).

Conclusion

Using shorter EMA periods, such as 5, 13, and 6, will make the MACD indicator faster and more responsive. However, traders should be aware of the increased risk of false signals and whipsaws associated with these settings. It's crucial to backtest any chosen settings and incorporate them into a robust trading strategy with appropriate risk management.

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