These experiments explore strategy execution and coordination in simulated trading environments. The collection includes backtesting code, cryptocurrency paper trading, and several agent and risk-management variants.
The purpose is to inspect how a strategy behaves under the assumptions of the simulation. The environment and the data determine which costs, delays, and market effects are represented.
A result from these scripts would need to be assessed against those assumptions. The project does not establish a profitable trading strategy.