Quantitative trading refers to an investment method that uses computer technology to conduct programmatic trading with the help of advanced statistical methods and mathematical models.

Quantitative trading originated in the stock market in the 1970s, and then developed and became popular rapidly. Especially in digital currency transactions, quantitative transactions have gradually become mainstream.

With the popularity of digital currency and the rise of advanced technologies such as big data, cloud computing, and artificial intelligence, the quantitative trading of data currency is also developing better and better, and even the voice of "quantitative trading is omnipotent" appears.

This article introduces the development history of quantitative trading, summarizes the digital currency quantitative arbitrage scene, and looks forward to the development trend of digital currency quantitative investment in the future. At the same time, it theoretically describes the quantitative trading strategy and the backtesting process of the realization, and uses machine learning to simulate and predict the price of Bitcoin and TCT.