Using the largest possible amount of data when back-testing to generate systems that can better accommodate more market conditions is a fairly intuitive and well rooted idea in algorithmic trading. However there seems to be a general lack of quantitative evidence to say whether this is actually the case or if there is an optimum amount of [...]
