The goal of the project is to train out an outstanding quantitative stock dealing mind. The developing process of the project is a co-evoluation process for both human investment strategy and algorithm strategy. The project currently contains 2 parts.
- Quantitative strategy return test on ShenCheng Index history data in past 3 years.
- Sharing Stock: A Stock dealing simulation game for human users to train and explore new investment insights.
Sharing Stock
Sharing Stock has released 1.0.0 version which contains following functions:
- A MacOS app GUI version.(Python SDK needed)
- The dealing board can simulate 3 years market index dealing. For each dealng day, it provides past 30 days Market index and MACD information.
- Supports all-buy-in and all-sell-out operations.
- Shows the MACD hist data for past 30 days when conducting daily operations.
- Demonstrate the comparison between market index and user accumulative return.
- Plot the summary graph for all the operations users made.