The webinar teaches how to use Python to backtest different types of trading systems. Also, using Python APIs to do trading on Zerodha, Fyers and Finvasia.
An Algo trading course is designed to teach individuals the fundamentals of using Python to execute trades. The course would cover topics such as:
A Backtesting strategies course is designed to teach individuals how to test the performance of trading strategies using historical market data. The ultimate goal of the course would be to equip individuals with the knowledge and skills necessary to develop, implement, and manage their own algorithmic trading strategies as well backtest strategies.
Aseem is a full time trader who trades in Nifty and Bank nifty options. He has more than 6 years experience in trading options. He has previously worked at Deutsche Bank and JP Morgan Chase, Singapore. Aseem has been the co-founder of Rain Fund and is also consulting other startups.
Aseem has been in the education space for few years. He regularly creates content for Groww. Earlier, he has created a lot of content for Learnapp and has given guest lectures on platforms such as eLearnMarkets, Algo Convention, etc.
- This is NOT a tip providing service. NO tips will be ever provided.
- During the course, some backtest results will be shown for different strategies. This is purely for learning purposes. There is no guarantee that similar results will be possible in the future.
- The course teaches you how you can create your own strategies. Hence, the results of each strategy may differ depending on the inputs that you put in.
- Learning coding and algo takes considerable effort. You should be willing to put effort into learning.
- Options trading and algo trading are subject to market risks.
- You are responsible for any losses/profits that occur in your account in case you plan to take trades in your account.
- 91StockVerse and Aseem Singhal do not take any responsibility of you running these codes on your account and the corresponding profits and losses that might occur.
- No refund will be given once the course is purchased.