Hands-On AI Trading with Python, QuantConnect, and AWS
A**H
A must-have for every aspiring quant!
One of the most practical books I've come across in the quant trading space! It provides a hands-on approach to learning QuantConnect, Python, AI, and real-world trading strategies.
D**T
Hands-On AI Trading with Python, QuantConnect, and AWS
Shows the infinite possibilities in trading today with a platform like Quantconnect.
S**D
It is a great book with a lot of real-life trading strategy scenarios
Great book
E**S
Some good ideas, but discussion of results for presented algos is lacking
I have mixed feelings on this one. I like Ernest Chan's work, but he's just a coauthor on this with several others, and I'm not sure what each author's contribution was, since it's no indicated in the text.I agree with other reviewers that this is too focused on quantconnect, but that's not necessarily a bad thing if you're ok using that platform.In Chapter 6, which contains a bunch of example strategies and analysis, I'm left disappointed with the discussion. Many times the results are just presented in a graph, without actual discussion in text of the results. Moreover, many of the strategies actually are losers, but it's not mentioned in the text; instead you can only tell by looking at the figures. I've fine with authors presenting negative results, but there should be discussion at the end of each strategy regardless of outcome. Similarly, I don't find the analysis to be very rigorous. Sometimes the analysis is run just on a single stock symbol, no idea how it does on other symbols. Similarly, they don't show good choices of comparison baseline in many instances. There's one algorithm that does stock selection from the S&P500 universe based on volume, and then weights a portfolio of the selected stocks. The S&P500 is used as the baseline, but also they should have plotted another baseline of an equally-weighted portfolio to separate the effect of stock-selection from weight-selection. Missing this sort of thing is pretty sloppy in my view.
M**E
AI
The information shared to learn techniques.
R**Y
Lots of formatting bugs and broken links
All source code throughout the book is oddly formatted and it is very hard to read. Most of the links are broken. Seems like a promising book, but needs to be fixed.
T**R
This book is a must have on applying machine learning concepts to the world of Quant Algorithms
I am a senior AI Engineer/Architect and this book is a must have when it comes to trying to understand how to apply machine learning concepts to the world of Quant Algorithms. Great job guys! This book provides real world examples and solutions that you just cannot find anywhere. It is well written, easy to read, and takes your understanding of both fields to another level. For those seeking an edge in their alpha, this book is loaded with interesting ideas.
L**N
Excellent book for those who want to know AI & algo trading.
It is a book over my expectation. Before the purchase, i think it is a book for promoting its platform. After reading it, it is a very good book to let me know how to apply AI to trading. The coding example and high quality and nice coding style. I am really enjoy it and i highly recommended for all people who are interested in the topic.You can easily apply its code to your own platform. The coding samples coded outside the need for the dedicated platform.
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