{"product_id":"algorithmic-trading-with-python-chris-conlan-9798632784986","title":"Algorithmic Trading with Python: Quantitative Methods and Strategy Development","description":"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.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Chris Conlan\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 8632784986\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798632784986\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 04\/09\/2020\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 128\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.69lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 11.00h x 8.50w x 0.27d","brand":"Chris Conlan","offers":[{"title":"Paperback","offer_id":44047377432831,"sku":"9798632784986","price":29.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_768a8abe-7646-4a11-91b6-0fd2f4e66be1.jpg?v=1684989858","url":"https:\/\/www.whiterainbookhouse.com\/products\/algorithmic-trading-with-python-chris-conlan-9798632784986","provider":"WR Book House","version":"1.0","type":"link"}