Small-scale traders can obtain significant risk-adjusted excess returns from very simple strategies. Despite the increasing accessibility and use of machine learning technology in financial markets, small-scale traders should primarily focus on simple strategies based on common market phenomena. Specifically, small-scale traders should aim to benefit from time- and asset-specific pockets of opportunity, which large-scale traders and investors cannot utilise (e.g. due to restricted asset liquidity).
