Hi folks,
I started building my algo trading strategy 3 years ago trading the HSI futures and have started paper-trading about a year ago and a while after that with real money. My strategy generates around 10 trades a week (around 30-40 trades a month). I have almost 3 years of data (around 1200 number of trades). I have backtested and optimized the whole data set and found a positive net profit each and every month. One could say this is curve-fitting - i don't deny it but since it gives me a positive net profit every month for 3 years and the actual trades executed have a >95% match with simulated results, do i have good enough reason to believe that it will continue to do so in the future?
Given the tenure of my data (going back 3 years) and the no. of trades going above 1200 which I think is not a small sample, do you guys think there is still a need for walk-forward test? How often should I re-optimize or should I re-optimize at all given the consistency of my strategy?
I attach the strategy performance summary and equity curve with close-to-close drawdown trading 1 contract of HSI futures. As you can see I am currently in the midst of a long flat period...one that has not been seen in my entire data set before.
Any advice would be appreciated. TIA.
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