Algorithmic Trading with Python: Quantitative Methods and Strategy Development - Paperback
by Chris Conlan
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Availability:In StockContributor:Chris ConlanSeries:Algorithmic TradingPublish date:2020-04-09Pages:128
Languages:EnglishPublisher:Independently PublishedISBN-13:9798632784986UPC:9798632784986Book Category:Business & EconomicsBook Subcategory:Investments & SecuritiesBook Topic:Analysis & Trading StrategiesSize:11.00 x 8.50 x 0.27 inchesWeight:0.69Product ID:SC11CC6DTX
Algorithmic Trading with Python discusses modern quant trading methods in Python with a heavy focus on pandas, numpy, and scikit-learn. After establishing an understanding of technical indicators and performance metrics, readers will walk through the process of developing a trading simulator, strategy optimizer, and financial machine learning pipeline. This book maintains a high standard of reproducibility. All code and data is self-contained in a GitHub repo. The data includes hyper-realistic simulated price data and alternative data based on real securities. Algorithmic Trading with Python (2020) is the spiritual successor to Automated Trading with R (2016). This book covers more content in less time than its predecessor due to advances in open-source technologies for quantitative analysis.
Languages:EnglishPublisher:Independently PublishedISBN-13:9798632784986UPC:9798632784986Book Category:Business & EconomicsBook Subcategory:Investments & SecuritiesBook Topic:Analysis & Trading StrategiesSize:11.00 x 8.50 x 0.27 inchesWeight:0.69Product ID:SC11CC6DTX
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