Webinar Topic: How to Design Quant Trading Strategies using “R”? - QuantInsti



This video is a recording of webinar on "How to Design Quant Trading Strategies using “R”? conducted by QuantInsti on 11th December , 2014 . The webinar aimed at introducing the concepts of Algorithmic Trading and exploring- 1. ” R” as a platform for strategy back testing 2. Optimizing Strategy parameters using “R” 3. Back testing the strategy across asset classes on “R” The webinar was taken by Mr. Anil Yadav, who is a co-founder of iRageCapital and QuantInsti, manages an Algorithmic strategy advisory team at iRageCapital and is responsible for building and benchmarking strategies for the clients across various asset classes. Prior to iRage, he has worked as Convertible Analyst at Lehman Brothers. He is IIM - Lucknow and IIT - Kanpur Alumnus. QuantInsti (QI) is the pioneer institute in providing training programs based on High Frequency Trading & Algorithmic Trading to both individuals as well as leading institutions like banks, institutional brokers and hedge funds. It has already seen many batches successfully completing their training programs and now actively contributing to the industry after getting placed in leading institutions or while working on their own algorithmic trading desks. Download Slides: http://www.slideshare.net/QuantInsti/how-to-design-quant-trading-strategies-using-r Please feel free to contact us at +91 22 61691400 or +91 9920448877 or you can even write us at contact@quantinsti.com, for any queries you might have. "#QuantTradingUsingR #AlgorithmicTrading #R #QuantInsti #Institutions" QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/ Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/

Comments

  1. thank you for the video! But you should rethink your presention process. You start with absolutly basics and 5 min. later you are talking about very specific R commands...
    But all in all this is a good overview on the possiblities of R in backtesting.
  2. Thanks for very usefull info.... how can we change sensitivity of an option in trend following modle???
  3. Great upload!


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