This is a light-weight project that develops simulation/real evironments and trading agents, along with collecting academic resources.
see doc/paper_list.md, and the list is orginized into two groups:
1, rule-based agents, which applies computational intelligence methods to discover rules, like genetic programing methods.
2, machine learning agents, which applies modulized machine learning to predict price trend or end-to-end methods to trade.
see src/env
see src/agent
contact: [email protected]