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|a Dagade, Pushpak,
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|a Python algorithmic trading cookbook :
|b all the recipes you need to implement your own algorithmic trading strategies in Python /
|c Pushpak Dagade.
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|a Table of ContentsHandling and Manipulating Date, Time, and Time Series DataStock Markets -- Primer on TradingFetching Financial DataComputing Candlesticks and Historical DataComputing and Plotting of Technical IndicatorsPlacing Trading Orders on the ExchangePlacing Bracket and Cover Orders on the ExchangeAlgorithmic Trading Strategies -- Code Step-by-StepAlgorithmic Trading -- BacktestingAlgorithmic Trading -- Paper TradingAlgorithmic Trading -- Real TradingAppendix IAppendix IIAppendix III.
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|a Ever wondered what it takes to be an algorithmic trading professional? Look no further, this recipe-based guide will help you uncover various common and not-so-common challenges faced while devising efficient and powerful algo trading strategies. You will implement various Python libraries to conduct key tasks in the algorithmic trading ecosystem.
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|a Description based on online resource; title from digital title page (viewed on May 20, 2021).
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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|a Electronic trading of securities.
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