Research Topics:

This chapter contrasts the three primary methods for backtesting a quantitative strategy.

This chapter explains why most backtested strategies in finance are false discoveries.

This chapter explores the use of entropy as a feature for machine learning in finance.

This chapter explores how to derive predictive features from market microstructure data (like FIX messages).

This chapter tackles the problem of optimal clustering, which is a form of unsupervised learning.