Behavioural Analysis for Market Anomalies with Heterogeneous Agent Model

We establish an agent-based artificial financial market, which can generate time series of asset price. This agent-based model is compute- oriented and implemented via Python. Therefore, the dataset was separated into two parts: first, code.rar contained different functional element program; second, data.rar contained the raw data that generated by the agent-based model each round.