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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
B**K
little to no value for AI trading or to build a RAG LLM
This was such a disappointment after page 2, once I realized it was a sales pitch for the QuantConnect platform. The chapter on AWS was trivial and worthless. I loved their cost estimate of running cost $8500 per month. No one that buys this book would have that kind of money to spend.
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.
A**R
Great so far
So far it is great but a bit disappointed with print quality of figures. Hard to read.
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.
M**E
AI
The information shared to learn techniques.
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