End Of Month Effect in Bitcoin – Examining the Turn of the Month (Video)
Yes, our backtests indicate that there is an end of month effect in Bitcoin and this can potentially be a viable turn of the month trading strategy.
The end of month effect, sometimes referred to as the turn of the month effect, is well known in US stocks and most other stock indices all over the world. We showed you how you can use this in a turn of the month trading strategy in a previous article.
In this article, we backtested to look for the same end of month effect in Bitcoin.
Related reading:
Let’s backtest the end of month effect in Bitcoin
We use data from Yahoo!finance. Unfortunately, the dataset starts as late as 2014, and thus our time frame is slightly limited.
To make a turn of the month trading strategy we start by doing optimization of both the entry and the exit: we enter at the close x days prior to the new month, and we exit n days after we enter a new month. Keep in mind that Bitcoin is 24/7 market.
This is the result of our optimization (100 different simulations):
The first column indicates at which last trading day of the month we enter, and the second row is the trading day of the new month we exit. For example, row 1 enters at the close on the tenth last trading day of the month and exits at the ninth trading day of the new month. The table is sorted by profit factor.
The fourth last column shows the max drawdown and that is pretty high for most simulations. The only way to reduce the drawdown is to reduce the holding period.
Let’s formulate an end of month trading strategy in Bitcoin:
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Let’s see how this performs if we invest 100 000 at the start and compound this amount until today (logarithmic chart – read here for linear vs logarithmic charts):
The average gain per trade is 3.3%, the CAGR is 41.8% and time in the market is 16%. Max drawdown is 25%. Is this good? It depends. It’s much lower than HODL but at the same time, the holding period is reduced a lot.
Is this backtest curve fitted? Yes, to a certain degree it is. However, the average gain for any random period of the same length is 1.33% – much lower. The average gain for practically all entries and exits around the turn of the month is higher than a random period.
Bitcoin end of month strategy improved
We can improve the strategy by removing some of the drawdowns. Drawdowns are what make most traders quit – often at the exact wrong time. Thus, it makes sense to have as few drawdowns as possible.
We changed the day of entry and we also added another variable. When we did that, we got the following equity curve:
As expected, the CAGR drops because there are fewer trades but the positive takeaway is that the equity curve gets smoother. As always, there is a trade-off in trading!
Lately, performance was flat, but it has to be taken into consideration that Bitcoin has literally crashed over this period. When Bitcoin eventually goes up again, you are ready to start compounding from a higher level.
We don’t want to reveal the strategy because we might use it as a monthly trading edge at a later stage.
Bitcoin and crypto trading strategies
We have written many other articles about Bitcoin and crypto strategies:
- Cryptocurrency Trading Strategy — What Is It? (Backtest)
- Bitcoin Crash Trading Strategy — What Is It? (Backtest)
- End of month effect in Bitcoin – does it exist? (Turn of the month)
- Trend following and momentum strategies on bitcoin (crypto) – capturing the trend (free bitcoin trading strategies)
- Does RSI work on crypto or Bitcoin trading? Is RSI good for crypto?
- Dogecoin Trading Strategy — What Is It? (Backtest)
- Does market timing work on Bitcoin? (Is it a good idea?)
Also, we have lots of free resources if you are looking for a robust and profitable trading strategy.
Bitcoin end of month strategy – conclusion
All in all, we would say that Bitcoin has a positive end of the month effect. This can hence be used as a turn of the month strategy.
FAQ:
How was the end of month effect in Bitcoin backtested?
The end of month effect in Bitcoin was backtested using data from Yahoo! Finance, starting from 2014. The strategy involves optimizing entry and exit points, entering x days before the new month and exiting n days after entering the new month.
Is the end of month strategy in Bitcoin curve-fitted?
Yes, the strategy is curve-fitted to some degree. However, the average gain for the strategy’s period is significantly higher than for random periods of the same length, indicating a potential edge.
Are there free resources available for developing profitable trading strategies?
Yes, the website offers free resources for those looking to develop robust and profitable trading strategies. These resources can assist traders in understanding and implementing different strategies.