算法化财富:量化交易与自动化策略实战

本课程专注于算法驱动的加密货币交易,由美国资深量化交易顾问Ethan Clarke主讲。他将拆解加密市场常用的量化策略,包括趋势跟随、均值回归、套利模型等,并结合Python代码演示策略部署与自动化执行,帮助学员搭建自己的交易机器人。适合交易员、开发者与对量化策略感兴趣的投资者。

难度:简单
已完结
时长:无时长

课程简介

本课程专注于算法驱动的加密货币交易,由美国资深量化交易顾问Ethan Clarke主讲。他将拆解加密市场常用的量化策略,包括趋势跟随、均值回归、套利模型等,并结合Python代码演示策略部署与自动化执行,帮助学员搭建自己的交易机器人。适合交易员、开发者与对量化策略感兴趣的投资者。

This course focuses on algorithm-driven cryptocurrency trading and is taught by Ethan Clarke, a seasoned quantitative trading consultant from the United States. He will break down commonly used quantitative strategies in the crypto market, including trend following, mean reversion, and arbitrage models, and demonstrate strategy deployment and automated execution using Python code. The course helps participants build their own trading bots and is suitable for traders, developers, and investors interested in quantitative strategies.

课程目录