With the help of modern statistics and mathematics, quantitative investment theory uses computer technology to select all kinds of "high probability" events that can bring excess returns from huge historical data to formulate strategies, verify and solidify these laws and strategies with quantitative models, and then strictly implement the solidified strategies to guide investment in order to obtain sustained, stable and above-average excess returns.

Quantization is not a method put forward as the opposite of qualitative analysis from the beginning. It solidifies the technical analysis strategy in qualitative analysis into a model, replaces the part that can be executed by computer in the process and greatly optimizes its effectiveness.

Quantitative trading strategy covers almost the whole process of investment, including quantitative stock selection, quantitative timing, stock index futures arbitrage, commodity futures arbitrage, statistical arbitrage, algorithmic trading, asset allocation, risk control and so on. There are risks, just control them. Huasheng tiancheng has done a good job in quantitative trading, which is very powerful and recommended.