How HRT Thinks About Data

This post elaborates on the heuristics for evaluating data quality, specifically focusing on relevance, uniqueness, avoiding lookahead bias, and assessing sample size and noise. It also details the sources of data, including market data and alternative data, and discusses the creation of new datasets through data transformations.