Because recently Bitcoin rallied strongly over weekends, I decided to close any Bitcoin futures short position at the end of trading on Friday. That means that this weekend I closed my short on Friday at the worst possible point and missed a more than 1000 points decline over the weekend. However, I've resolved not to get into this trade now and just wait for the next long trade.
Not including this weekend's action the average return over the weekend in the last 15 months when my model was short was -0.2%, i.e. a loss. But this is a small loss and is statistically insignificant. The t-statistic to test that this mean is different to zero is -0.31 (p = 0.74). On the other hand, the average return over the weekend when long was 1.5%. And this return is highly statistically significant. The t-statistic is 2.33 (p = 0.026).
This explains why I was reluctant to be short over the weekend but not to be long over the weekend. On the other hand, the expected loss isn't much, so avoiding trading over the weekend when short is due to risk aversion. Especially as I can place an effective stop in our Plus 500 CFD account. If we go long there and are short futures we are effectively out of the market. But it's expensive to do so due to their spread and overnight financing charges, and they only allow me to trade a maximum of 6 Bitcoin. On the other hand, I am only shorting one futures contract (5 Bitcoin) at a time at the moment.
So, how did this weekend affect these results? The gain to being short over the weekend was 9.5%. The mean weekend short return is now 0.07% with a t-statistic of 0.11 (p = 0.91). So, that is even closer to zero. Someone who is risk averse would still stay out of the market as the expected return is insignificantly different to zero.
To deal with the frustration, I am just telling myself that there will be a better opportunity to go long the further the price falls :) In the longer term, I think I would be less concerned about this if I diversify trading to multiple markets.
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