Building Winning Algorithmic Trading Systems + Website - A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Trading (Wiley Trading)
S**S
Excellent resource on algo trading
The book explains algo strategy development process and the pitfalls to be avoided in the process. This is combined with the author's personal story which makes the book more interesting.While is unfair to expect the author to provide set ups with back test for 45 usd, it would have helped if the author had explained the process of end of end testing with couple of more examples (there are two in the book)
A**T
Complete waste of money
Don't waste your money.Nothing mention abt Algo theory, always bla bla story and his experience, but not sharing how to apply or use it.
R**O
Worth the reading
I liked the book. I think I will take his course. No BS. A guy with real experience. And it seems, a successful one.
A**R
Was very disappointed by this book
Do not buy this book if you have already some notions about algorithmic trading, otherwise you will be disappointed as it was the case for me..This book reads like a novel describing the personal story of the author winning a trading contest. However, it contains very little concrete, practical information about how you could do the same in the future...
A**A
Good book for Algo developer
The writer share lot of his experience, and provide good guidelines for building Algo.
A**A
Essential reading for algo traders
You really get hooked into algo trading after reading this book! If you have started trading using one or two systems, have not automated them and sill have that lingering feeling something is missing, you have to read this book! It is written in a sort of story-telling mode where the reader, if he or she is or has been a trader, can identify themselves with KJD's journey from discretionary through systematic to automated (algo) trading. More important, it outlines in layman words an entire process of how to create, verify, validate and automate trading strategies.
J**.
Destined to become a algorithmic classic
I recently purchased Building Algorithmic Trading Systems: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Trading (Wiley Trading) I found the book to be very detailed and true to its title.This book is a comprehensive look at the authors logical and honest comprehensive approach to algorithmic trading. I say logical because even the rank beginner to the experienced trader can learn from his logical stepwise approach. This isn't a book that bogs the reader down with mathematical formulas but clearly illustrates important concepts that must be understood to follow the authors thought process.What i appreciate are the clear lessons learned that are shared throughout the book. I find it rare that someone of his caliber( he is someone you can at least attempt to do due diligence on, a real algorithmic trader with verifiable multi-year experience with his own real money accounts generating over 100% annual returns ) would share not only his success but also his many failures that led to his growth and development as a trader. I found this a breath of fresh air given the number of books and educational content produced by people who flat out don't trade real money or hide the fact that they are so confident in their methods that all they can do is trade sim instead of real money and have a multitude of excuses of why they don't have any verifiable performance yet can talk a good sales game selling you on their confidence in their methods.Well back to the book. It is my belief that if one applies the lessons learned that one can develop good trading system development habits that can increase the odds of finding and deploying a system that has a chance of surviving the markets and by studying the lessons learned potentially saving thousands of dollars in the process of becoming a successful systematic trader. Unfortunately some of the readers like myself will recognize many of the school of hard knocks lessons learned the hard and expensive way.The book is surprisingly complete covering the development process in detail with very good illustrations to the real world monitoring process and illustrates several scenarios that every automated algorithmic trader is likely to face. Throughout the book the tone is helpful and positive with the author taking the attitude" this is what I have that works for me ( with thorough explanation of his thought process) your standards/requirement may be different and that's ok"I think this book is a must read for all algorithmic traders and those who have yet to find their algorithmic approach
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