Home Moving average strategies 20 EMA Trading Strategy – Does It Work? (Rules, Setup, Backtest, Performance)

20 EMA Trading Strategy – Does It Work? (Rules, Setup, Backtest, Performance)

20 EMA Trading Strategy
20 EMA Trading Strategy

The moving averages are one of the most used technical indicators in the market. However, there are many types of moving averages. Today we are going to be looking at the exponential moving average: 20 EMA trading strategy.

The exponential moving average is a type of moving average (MA) that places a greater weight and significance on the most recent data points. But a question arises: Can it be used to develop a profitable trading strategy? 

In this article, we are going to look at what the 20-day EMA trading strategy is, backtest it, and improve it by adding an additional technical indicator.

Related reading:

What is the 20 EMA trading strategy?

The 20-day exponential moving average(EMA) strategy is a technical analysis strategy that uses the 20-day EMA to generate buy and sell signals for trading securities. It uses 20-EMA to identify short-term market swings in the price of a security. EMA gives more weight to the recent prices, which can help traders to accurately identify market swings.

The strategy we are going to backtest, as you are about to see, produces a purchase signal when a security’s price surpasses the 20 EMA, and triggers a sale signal when the price falls beneath the 20 EMA. This method is versatile and can be employed across various securities like forex, stocks, and commodities.

20 EMA trading strategy – trading rules

As we mentioned, the trading signal of the strategy we are going to backtest is pretty simple.

Let’s establish the trading rules:

  • We buy the asset when the 20-day EMA is under the asset price
  • We sell the asset when the 20-day EMA is over the asset price

20 EMA trading strategy – backtest

We backtested the strategy using the ETF version of the S&P 500, SPY. The data is not adjusted for dividends and splits. Here is the equity curve:

The equity curve does not look so great. Here are some metrics and trading statistics about the strategy:

  • CAGR is 3.06% (buy and hold 7.87%)
  • Time spent in the market is 67.09%
  • Risk-adjusted return is 4.56% (CAGR divided by time spent in the market)
  • Maximum drawdown is -42.65% (-56.47%)

As you can see, the CAGR is very low despite being invested almost ~70% of the time. Moreover, the strategy experienced a significant drawdown, although not as high as buy and hold. 

On its own, the 20-EMA doesn’t seem to do well, but can we improve the strategy by adding another indicator?

20 EMA trading strategy improved

We decided to add a trading indicator to the 20-day EMA trading strategy and see whether it improved returns.

We decided to put the added trading rules behind paywall. You get access as a Silver member and additionally, you can pick 5 trading strategies and get code for plenty of trading strategies.

The equity curve improved after we added the extra trading indicator as a filter:

Here are the statistics and performance metrics of the new strategy:

  • CAGR is 5.03% (buy and hold 7.87%)
  • Time spent in the market is 70.59%
  • Risk-adjusted return is 7.12%
  • Maximum drawdown is -42.65% (-56.47%)

For the same amount of time spent in the market, we obtained a sizable increase in performance and almost equalized the buy-and-hold CAGR on a risk-adjusted basis. Nonetheless, the drawdown remains the same.

20 EMA trading strategy – conclusion

To sum up, today you learned what the 20 EMA trading strategy is. Although the backtest wasn’t so good, we showed you how by adding another indicator the strategy can be improved.