Learn to analyse and backtest financial market data using Excel and Python. Understand the difference between both tools and their respective pros and cons. Know which one is best suited for you. ----------------------------------------- Complete Webinar Recording https://blog.quantinsti.com/stock-data-analysis-excel-python-23-february-2021/ ----------------------------------------- Key Takeaways - Steps involved in backtesting a strategy - Demo of backtesting using Excel - Why Excel and what does it enable us to do? - Where does Excel fall short? - How to overcome it? - Demo of backtesting on multiple stocks ----------------------------------------- About the Speaker Jay Parmar (Associate, Content & Research at QuantInsti) Jay Parmar works as an Associate, Content & Research at QI and comes with several years of experience in the BFSI industry. He is actively engaged in content development for quant finance courses and mentors EPAT participants across the globe. He is passionate about algo trading and programming and enjoys developing automated trading systems. He holds a Bachelors’ in Computer Science and the EPAT Certificate. His research interests are in applying machine learning models to various facets of trading. ----------------------------------------- About EPAT https://goo.gl/3Oyf2B ----------------------------------------- This event was held on: Tuesday, February 23, 2021 8:30 AM ET | 7:00 PM IST | 9:30 PM SGT ----------------------------------------- Most useful links: Join EPAT – Executive Programme in Algorithmic Trading: https://goo.gl/3Oyf2B Visit us at: https://www.quantinsti.com/ ----------------------------------------- Link to our Blog: https://blog.quantinsti.com/ Like us on Facebook @ https://www.facebook.com/quantinsti/ Follow us on Twitter @ https://twitter.com/QuantInsti Follow us on LinkedIn @ https://www.linkedin.com/school/quantinsti/ Follow us on Instagram @ https://www.instagram.com/quantinstian/ E-mail us @ sales@quantinsti.com