In the previous article, we showed you how to create a fully automated 50-200 moving average crossover trading strategy without coding.
Next, I will present backtest results for that strategy in all the markets I have tested.
We’ll show you both the good and the bad.
You need to backtest this strategy yourself to make sure you’re happy with it and that it actually works with the broker.
Even if your strategy doesn’t work, you can test ideas on how to improve it and make it even more profitable.
Now let’s move on to the trading plans and results for each market.
Remember: this is just the starting point for your trading strategy. This is for informational purposes only, and the following results do not guarantee successful transactions.
When you backtest a new market, add results to this page.
Bookmark this page and return regularly if you want to get future updates.
50-200 Crossover Strategic Trading Plan
The rules for this plan are as follows:
- buy
- Buy when 50 SMA crosses above 200 SMA
- Lower the last swing low stop
- 1% risk per transaction
- Earn profits on 1R (1x risk)
- sell
- Buy when 50 SMA crosses under 200 SMA
- Stop loss at the last swing high
- 1% risk per transaction
- Earn profits on 1R (1x risk)
Be sure to read the complete 50-200 moving average crossover automatic strategy tutorial and learn how you did these backtests in minutes without coding.
Backtest
Eurusd
Weekly Charts
In this time frame, there is not enough data to pursue this strategy.
With just 10 trades, you won’t be able to get enough trades to make this viable.
Daily Charts
This actually looks pretty good.
Certainly… the returns are very low, but the maximum drawdown is also low, and the strategy is profitable throughout the test.
Therefore, this could be a good strategy for optimizing or trading multiple markets, assuming the outcome is also favorable in these markets.
There is clearly no guarantee, but further testing is required.
4-hour chart
This strategy was profitable for most testing periods, and could be a suitable time frame to start an experiment.
Yes, the return was breakeven.
However, the graph is more promising than most of the others in this list.
I’ve done 209 deals and this is decent.
If this works in other markets, combined returns can produce large returns.
Again, backtest this yourself.
This is intended only as a starting point.
1 hour chart
The profits of this strategy were break-even, which could potentially optimize this time frame.
The advantage is that the strategy has run quite a few transactions.
30 Minute Chart
At least with this version of the strategy, the outcomes of this time frame are not worth further consideration.
5 minute chart
The results are terrible on a 5-minute chart, so no further analysis is required.
audusd
Weekly Charts
There are not enough transactions to begin using this time frame.
Daily Charts
This could be tweaked as the result is break-even. The biggest problem is that there are not many transactions. Therefore, we will not pursue this.
4-hour chart
It may be worth tweaking as it is a result of another break-even point.
1 hour chart
Break even again. Maybe it’s worth some adjustments, but I don’t spend much time on it.
30 Minute Chart
It’s pretty bad, so you probably shouldn’t mess around. move on.
5 minute chart
Like EURUSD, this is not worth exploring as the 5-minute chart is absolutely useless.
It almost blew the accounts out.
Notes and observations on this strategy
So far, lower time frames have shown worse results.
Therefore, it may be better to stick to the daily chart and the four hour chart.
Also, the outage loss for this strategy may not be ideal.
Sometimes the stops are too far away and prices take time to reach their target.
You need to do more testing and optimizations.
You might learn how to build and adjust this strategy, test your own ideas and get better results than I do.
Conclusion
This is how this strategy accumulates in all these markets.
I will add new backtests when I do them, so bookmark this page and go back regularly to see if there is a new market.
Remember that you always need to backtest your strategy.
Don’t rely on the consequences of others, including me.
To learn exactly how you created an automated program to perform the above backtest without coding, read this tutorial.
