ARKUSDT CHART ANALYSİS - EDUCATİONAL POST
Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python by Stefan Jansen (Packt Publishing)
Although the book's title might be a mouthful, which is fairly common for books on algorithmic trading (and crypto in general), Stefan Jansen's Machine Learning for Algorithmic Trading "introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and Backtesting by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research."
In the second edition, readers learn about working with various types of data (market, fundamental, alternative) in order to create tradeable signals. In addition, the book shows how readers can predict returns for both US and international assets, and even includes a handy appendix with 100+ alpha factor examples. If you're interested in getting into the nitty gritty of machine learning and algo trading, then this will be of interest to you.
One of the underlying principles of algo trading is trying to time the market using data and algorithms, and Jansen's book provides a wide range of useful techniques and models, ones which have something of value to learners of all levels with an interest in machine learning.
Although the book's title might be a mouthful, which is fairly common for books on algorithmic trading (and crypto in general), Stefan Jansen's Machine Learning for Algorithmic Trading "introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and Backtesting by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research."
In the second edition, readers learn about working with various types of data (market, fundamental, alternative) in order to create tradeable signals. In addition, the book shows how readers can predict returns for both US and international assets, and even includes a handy appendix with 100+ alpha factor examples. If you're interested in getting into the nitty gritty of machine learning and algo trading, then this will be of interest to you.
One of the underlying principles of algo trading is trying to time the market using data and algorithms, and Jansen's book provides a wide range of useful techniques and models, ones which have something of value to learners of all levels with an interest in machine learning.
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Related publications
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.