I am in the process of learning to code in Python and am, I must admit, no programming genius. So I was delighted to see that George Pruitt, best known for his book on TradeStation’s EasyLanguage (Building Winning Trading Systems with TradeStation) had written a new book that covered not only the TradeStation platform but also AmiBroker, Excel (with VBA), and Python.
The Ultimate Algorithmic Trading System Toolbox: Using Today’s Technology to Help You Become a Better Trader (Wiley, 2016) is a how-to manual for the non-quant who wants to incorporate algorithms into his trading.
Pruitt’s focus in this book is not so much on system development per se as it is on popular programming tools for building and back testing technical trading systems. Yes, he has chapters on “Genetic Optimization, Walk Forward, and Monte Carlo Start Trade Analysis” and “An Introduction to Portfolio Maestro, Money Management, and Portfolio Analysis,” but what will most likely draw traders to Pruitt’s book is his extensive array of clearly explained sample code.
His examples of input into technical trading systems are drawn from the usual suspects, such as Bollinger bands, Keltner channels, MACD, RSI, stochastics, and various moving average indicators. More important, he shows traders who don’t use comprehensive platforms how to write system testers. He developed his own bare-bones Python and Excel testing engines.
A website accompanying the book includes this software, with all its source code, as well as source code that can be run in TradeStation and AmiBroker. Unlike much of the Python code that is available online, Pruitt’s actually seems to be error-free. I didn’t test his other code.
One of Pruitt’s aims in this book was to offer “the most important and simplest programming techniques to transform a non-quant into a not-so-non-quant.” He has, I believe, succeeded admirably.