Benchmarking backtest results against random strategies
Picture this: A developer has coded up a brilliant strategy, taking great care not to over-optimize. There is no look-ahead bias and the developer has accounted for data-mining bias. The out of sample backtest looks great. Is it time to go live? I would’ve said yes, until I read Ernie Chan’s Algorithmic Trading and realised …
