Algo Trading Webinar: How to Back test Trading Strategies Using Python?
Learn the basics of back testing using Python. This Webinar aims to introduce you to the world of Algo Trading.
Learn the basics of back testing using Python. This Webinar aims to introduce you to the world of Algo Trading.
Features
Webinar Overview
About this Webinar
This webinar will demonstrate the step-by-step process involved in backtesting trading strategies using live python coding examples on different stocks present in Indian Stock Exchanges. You will learn how to fetch data, navigate through different candles, implement strategies using technical analysis and backtest those strategies on past data. Additionally you will understand how to interpret backtest reports and take informed trading decisions.
Requirements
One needs to have strong foundation in python programming language.
Basic understanding of Technical Analysis concepts like RSI, Moving Average are required for taking this webinar.
A Python Integrated Development Environment(IDE) is required for performing the coding operations shown in this webinar.
Targeted For
Programmers looking to foray into the world of trading will find this webinar beneficial.
Traders with knowledge of python looking to automate and backtest their trading strategies will find this webinar insightful.
What will you Learn?
About Instructor
Niraj Munot
Algo TraderNiraj Munot, the founder of Matic Algos, is a professional Algo Trader with 2+ years of experience. He helps retail traders adapt to algorithmic trading. Apart from his trading and coding skills, he is also a wildlife enthusiast and photographer.
Reviews & Ratings
It is a fantastic webinar with helpful advice on Algo trading.
June 22, 2022
Very nice course. Thanks to Niraj for his time and afforts. He has giv...
May 12, 2022
Got some good ideas about algo trading.
May 2, 2022
Great content , please design a complete handholding course for non-pr...
April 25, 2022
Nice webinar
April 6, 2022
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Algo Trading Webinar: How to Back test Trading Strategies Using Python?
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