LSTM for Market Forecasting: A Python deep learning guide

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Updated Edition 2025: NOW IN COLOR

Code Repository Linked – the latest code updates are now included (continuing to offer a link to the repository for easy access – ONLY FOR PAPERBACK).Reworked for Crypto – the code is now focused on cryptocurrency, offering more relevant applications for the evolving market.Enhanced Code & Explanations – I’ve completely overhauled the code and improved explanations to make everything clearer and more useful.New Chapter on Trading – I’ve added a section dedicated in the beginning (visible within Read Sample) to helping you understand how to apply the code for actual trading. This has been a common request(or complaint, because some people can’t figure out how to look at a trading chart and actually trade), and now it’s easier than ever to get started.Trading Logbook included within paperback that will last you a few months!

From the Author (Alec Stovari):
Imagine being able to predict the next big move in the crypto market with confidence. What if you could anticipate price shifts, avoid pitfalls, and make informed trading decisions like a pro? With the power of Long Short-Term Memory (LSTM) neural networks, this book will show you how to do just that.

Originally designed for stock markets, I’ve completely reworked the content and code to focus on cryptocurrency. I’ve made the code robust, well-tested, and something I’ve personally used with great success for the last three years. You’ll find exact code snippets ready to run, with simple explanations to guide you through every step of the way.

Many of you have found this book helpful, and I’m thrilled that it’s made a difference. However, it’s unfortunate that only a small percentage leave reviews. If you find this book valuable, I would greatly appreciate it if you could take a moment to leave your feedback. Your support helps me keep improving and reaching more traders!

Thank you for your trust, and happy trading!

Alec Stovari, 2025
ASIN ‏ : ‎ B0DVPKZGJN
Publisher ‏ : ‎ Independently published (June 8 2023)
Language ‏ : ‎ English
Paperback ‏ : ‎ 72 pages
ISBN-13 ‏ : ‎ 979-8308974994
Item weight ‏ : ‎ 159 g
Dimensions ‏ : ‎ 15.24 x 0.43 x 22.86 cm
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2 reviews for LSTM for Market Forecasting: A Python deep learning guide

  1. Agustin Alonso-Rodriguez

    Decepcionante. Una pérdida de dinero. La dirección que aporta para descargar el contenido de este folleto no funciona.

  2. Deep

    Not worth the price, but the author tried to share something that he/she found valuable and usefulbtw author’s name doesnt seem like indian, but the screenshots of tiny trades look like they are from zerodha’s kite platform itself

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