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Automated Trading with R: Quantitative Research and Platform Development
Chris Conlan
€ 76.95
€ 65.57
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Description for Automated Trading with R: Quantitative Research and Platform Development
Paperback. Num Pages: 230 pages, 19 black & white illustrations, 16 colour illustrations, biography. BIC Classification: PBW; UMN; UMX. Category: (P) Professional & Vocational. Dimension: 180 x 254 x 16. Weight in Grams: 464.
Learn to trade algorithmically with your existing brokerage, from data management, to strategy optimization, to order execution, using free and publicly available data. Connect to your brokerage's API, and the source code is plug-and-play. Automated Trading with R explains automated trading, starting with its mathematics and moving to its computation and execution. You will gain a unique insight into the mechanics and computational considerations taken in building a back-tester, strategy optimizer, and fully functional trading platform. The platform built in this book can serve as a complete replacement for commercially available platforms ... Read more
Learn to trade algorithmically with your existing brokerage, from data management, to strategy optimization, to order execution, using free and publicly available data. Connect to your brokerage's API, and the source code is plug-and-play. Automated Trading with R explains automated trading, starting with its mathematics and moving to its computation and execution. You will gain a unique insight into the mechanics and computational considerations taken in building a back-tester, strategy optimizer, and fully functional trading platform. The platform built in this book can serve as a complete replacement for commercially available platforms ... Read more
Product Details
Publisher
Apress
Format
Paperback
Publication date
2016
Condition
New
Number of Pages
205
Place of Publication
Berkley, United States
ISBN
9781484221778
SKU
V9781484221778
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Chris Conlan
Chris Conlan began his career as an independent data scientist specializing in trading algorithms. He attended the University of Virginia where he completed his undergraduate statistics coursework in three semesters. During his time at UVA, he secured initial fundraising for a privately held high-frequency forex group as president and chief trading strategist. He is currently managing the development of private ... Read more
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