Asad Farooqi | Practising accountant | Quant trader

2 min read

There are multiple articles written, conversations happening all over regarding the influence of technology in all aspects of life. We can’t deny that technology has helped to make our day-to-day life a lot simpler and more efficient, from ordering food to getting help from Alexa.

Why not the same when it comes to your trading? Let the machines do the complex calculations to identify trends and come up with better trading signals. Not knowing Python or coding is not a challenge for traders anymore! At Quantra you can learn in a simple and intuitive manner using interactive coding exercises and notebooks

Join us in reading what Asad has to share about his journey at Quantra portal.



Hi Everyone, 

I am Asad from the UK. I was trained in Computer Science from the University of London and later became a Qualified Accountant. I have been in the Finance industry for over 10 years, working as an accountant at various banks and most recently Engineering consultancy. My interest in trading goes all the way back to university days where I created a trading platform as part of my final year project work. Since then I have been trading for myself. 

It is a challenge to find time to work on new strategies while managing a full time demanding job, particularly as a manual/discretionary trader. However, Algorithmic Trading allows for efficiently evaluating/testing and executing multiple strategies whilst balancing my profession. Thus I am really excited to take up this challenge of learning Algorithmic Trading and plan to complete one course in a month by Quantra. 

I have enrolled in multiple quantitative trading courses including Mean Reversion Strategies by Dr. Ernest Chan and Short Selling in Trading by Laurent Bernut. 

I recommend Quantra courses because the content covered is implementable. They cover all aspects of trading, from learning new strategy ideation to backtesting and then implementation using Interactive Brokers. I look forward to implementing my strategies in my personal trading soon!

Thanks & regards,
Asad Farooqi

Here is the break-up course wise of Asad’s learning journey:

Python for Trading: Basics -> Python For Trading -> Statistical Arbitrage Trading -> Mean Reversion Strategies In Python -> Quantitative Trading Strategies and Models  -> Short Selling in Trading

Quantra courses equip motivated learners gain and perfect skill set required to excel in the field of algorithmic trading. Quantra courses are self-paced bite-sized courses, a quick way to gain the skills you’ll need to create your own trading strategies using Python or excel. So you gain usable skills in a matter of hours.

Disclaimer: In order to assist individuals who are considering pursuing a career in algorithmic and quantitative trading, this case study has been collated based on the personal experiences of learners from QuantInsti®. Case studies are for illustrative purposes only and are not meant to be used for investment purposes. The results achieved post completion of any QuantInsti programme may not be uniform for all individuals.