If optimising over 200k bars: what amount of trades would be considered statistically significant?
How many trades are required to ensure robustness testing is effective?
Obviously a few hundred trades is not going a good indication of well a startegy performs in the future. When traditional WFA is taken into consideration, using 5 iterations for example ( IS and OOS), this means even less trades are utilised for extracting optimial parameter values. I’m struggling to find answers…
Are there any ways to increase statistical significance that experienced traders use ( for example, testing on different markets, adjusting parameter ranges to check for ‘sensitivity’ etc etc)
thanks
Jim