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   系統號碼789411
   書刊名Trading evolved : anyone can build killer trading strategies in Python /
   主要著者Clenow, Andreas F., author.
   出版項[Place of publication not identified] : Andrew F. Clenow, [2019]
   索書號HG4515.5.C54 2019
   ISBN9781091983786
   標題Investments-Data processing.
Investment analysis-Computer programs.
Investment analysis-Computer programs.-fast-(OCoLC)fst00978181
Investments-Data processing.-fast-(OCoLC)fst00978247
   
    
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 資料類型狀態應還日期預約人數館藏地索書號條碼號
預約圖書借出中
(可召回,7天還書)
2024/08/310總館
西文圖書區
HG4515.5 .C54 2019W112748

內容簡介"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." -- Back cover.

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