Tag: Quantitative Investing

Crypto AI quant strategies live or die by the data pipeline and the rigor of your validation. Useful signals commonly come from order-book microstructure, on-chain activity, and derivatives metrics such as perpetual-futures funding rates. Model families that work well on these features include gradient-boosted trees for tabular data, sequence models for high-frequency or multivariate time series, and reinforcement learning for…