Hands-On Machine Learning for Algorithmic Trading - Original PDF
نویسندگان: Stefan Jansen
خلاصه: Historically, algorithmic trading used to be more narrowly defined as the automation of trade execution to minimize costs as offered by the sell side, but we will take a more comprehensive perspective since the use of algorithms, and ML, in particular, has come to impact a broader range of activities from idea generation and alpha factor design to asset allocation, position sizing, and the testing and evaluation of strategies. This chapter looks at the bigger picture of how the use of ML has emerged as a critical source of competitive advantage in the investment industry and where it fits into the investment process to enable algorithmic trading strategies. We will be covering the following topics in the chapter: How this book is organized and who should read it How ML has come to play a strategic role in algorithmic trading How to design and execute a trading strategy How ML adds value to an algorithmic trading strategy