Trading Evolved: Anyone can Build Killer Trading Strategies in

Condition - Very Good
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Trading Evolved: Anyone can Build Killer Trading Strategies in Python
- Trading Evolved: Anyone can Build Killer Trading Strategies in Python
- ABIS BOOK
- Independently published
Systematic trading allows you to test and evaluate your trading ideas before risking your money. By formulating trading ideas as concrete rules, you can evaluate past performance and draw conclusions about the viability of your trading plan.
Following systematic rules provides a consistent approach where you will have some degree of predictability of returns, and perhaps more importantly, it takes emotions and second guessing out of the equation.
From the onset, getting started with professional grade development and backtesting of systematic strategies can seem daunting. Many resort to simplified software which will limit your potential.
Trading Evolved will guide you all the way, from getting started with the industry standard Python language, to setting up a professional backtesting environment of your own. The book will explain multiple trading strategies in detail, with full source code, to get you well on the path to becoming a professional systematic trader.
This is a highly practical book, where every aspect is explained, all source code shown and no holds barred.
Written by Andreas F. Clenow, author of the international best sellers Following the Trend and Stocks on the Move, Trading Evolved goes into greater depth and covers strategies for trading both futures and equities.
"Trading Evolved is an incredible resource for aspiring quants. Clenow does an excellent job making complex subjects easy to access and understand. Bravo." -- Wes Gray, PhD, CEO Alpha Architect
Country USA
Manufacturer Independently published
Binding Paperback
UnitCount 1
EANs 9781091983786
ReleaseDate 0000-00-00

Country	USA
Manufacturer	Independently published
Binding	Paperback
UnitCount	1
EANs	9781091983786
ReleaseDate	0000-00-00

Trading Evolved: Anyone can Build Killer Trading Strategies in Python

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