--- product_id: 217678875 title: "Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python" price: "€ 108.06" currency: EUR in_stock: true reviews_count: 11 url: https://www.desertcart.be/products/217678875-machine-learning-for-algorithmic-trading-predictive-models-to-extract-signals store_origin: BE region: Belgium --- # Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python **Price:** € 108.06 **Availability:** ✅ In Stock ## Quick Answers - **What is this?** Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python - **How much does it cost?** € 108.06 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.be](https://www.desertcart.be/products/217678875-machine-learning-for-algorithmic-trading-predictive-models-to-extract-signals) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description Harness machine learning to design and backtest automated trading strategies. Leverage Python libraries to extract signals from market and alternative data. Review: Fantastic read - Initially - I thought it would be a book that would touch the basics only. I was very pleasantly surprised. Fantastic read and highly recommended high quality content Review: All you need - Amazing book, detailed and has everything I needed and more ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | 55,240 in Books ( See Top 100 in Books ) 30 in Professional Financial Forecasting 68 in E-Business 100 in Engineering & Technology Education | | Customer reviews | 4.4 4.4 out of 5 stars (396) | | Dimensions | 19.05 x 4.72 x 23.5 cm | | Edition | 2nd edition | | ISBN-10 | 1839217715 | | ISBN-13 | 978-1839217715 | | Item weight | 1.47 kg | | Language | English | | Print length | 820 pages | | Publication date | 31 July 2020 | | Publisher | Packt Publishing | ## Images ![Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python - Image 1](https://m.media-amazon.com/images/I/71ycxzrff0L.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ Fantastic read *by S***S on 5 May 2024* Initially - I thought it would be a book that would touch the basics only. I was very pleasantly surprised. Fantastic read and highly recommended high quality content ### ⭐⭐⭐⭐⭐ All you need *by A***. on 26 December 2023* Amazing book, detailed and has everything I needed and more ### ⭐⭐⭐⭐ A superb educator and reference book *by E***K on 27 January 2021* As one US reviewer stated quite rightly "For anyone that wants this book you should understand that this book is what you make of it.", there is NO hand-holding in this book, you are expected to get on with it and read-around as required/needed, it may be reasonably introductory but it isn't dumbed-down (thankfully). Especially appreciated the first section of the book on electronic trading basics and economic/portfolio fundamentals. Go deeper and such an amazing repertoire of models (and ideas) this book will keep you occupied for many months. It covers a huge amount and used in conjunction with the internet for reference you'll find you can gain significant momentum to move forward beyond your expectations. I knocked off a star as much of the environment (uses a HUGE number of libraries) simply causes conflicts of library versions, and it takes quite a bit of time to sort out these conflicts (even with Conda, most of the issues surround early Pandas dependency with Zipline that breaks other software). Additionally much of the code simply does not work (data files ceasing to exist on the net without extensive searching though you will usually find after searching)... you may need to hack the code to work in many cases, it does assume in my opinion the following: Basic Python Reasonably proficient Pandas (uses quite a bit in some interesting ways) Ability to read-around a lot of the discussed signals/indicators and other economic stuff (is interesting though!) The ability to get up to speed (without guidance) on third-party libraries Ability to configure multiple Conda environments and sort out library issues (stack overflow etc.) Familiarity with basic Regression Understanding of Gradient Boosting Understanding of basic FFNN, Convolutional, NLP, Time-Series, GAN"s. Some Linear Algebra, Calculus and Stats useful (not essential though but will deepen your understanding). Advice: Separate Conda environment (Python 3.6) for Zipline, and a 3.8 for everything else. Still highly recommended in my opinion, but certainly not for the faint of heart and you will need a little experience in resolving stuff like package conflicts, the amount of valuable information in this book however is HUGE, it really seems in a class of its own in a pragmatic sense. Note: Thankfully zipline (from the defunct Quantopian) is not extensively used, mostly in the early chapters as it is garbage (imho), one of the most poorly designed quant trading packages out there, now abandoned by its former owner. It simply is not good software by a long stretch and I suspect very strongly will be dropped in the next book edition, it is kludge upon kludge upon kludge and its only real use was Quantopian integration. That the new owner Robinhood also seems to not care much about it speaks volumes. This may change but I highly doubt it. However it is useful to know the basics as these can help when learning other libraries. ## Frequently Bought Together - Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition - Python for Algorithmic Trading Cookbook: Recipes for designing, building, and deploying algorithmic trading strategies with Python - Quantitative Trading: How to Build Your Own Algorithmic Trading Business (Wiley Trading) --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.be/products/217678875-machine-learning-for-algorithmic-trading-predictive-models-to-extract-signals](https://www.desertcart.be/products/217678875-machine-learning-for-algorithmic-trading-predictive-models-to-extract-signals) --- *Product available on Desertcart Belgium* *Store origin: BE* *Last updated: 2026-04-29*