华尔街大师 Python 量化金融实践
日内高频交易是一种极具挑战性的交易方式，要想通过科学量化的方法来掌握它，就必须有好的工具。 该课程引导学生同时使用两种开发语言，Python 和 C++。 讲师带领同学们使用Python进行数据分析和采样，可以帮助我们进行均值回归数据研究和策略测试。 用C++改进我们的交易策略，经过成熟模型的验证，高频的C++实战策略编写可以让我们更容易理解和把握策略的精髓。(Intraday high-frequency trading is a very challenging trading method. If you want to master it through scientific and quantitative methods, you must have good tools. This course guides students to use two development languages at the same time, Python and C + +. The lecturer led the students to use Python for data analysis and sampling, which can help us conduct mean regression data research and strategy test. Using C + + to improve our trading strategy, after the verification of mature models, the high-frequency C + + actual combat strategy writing can make it easier for us to understand and grasp the essence of the strategy.)
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