Being successful is a desire that keeps the flame of learning and working hard alive. It can be small accomplishments or the big ones, it is these goals that get you out of bed early excited.
One such story is of Punit Bharadwa, who with his experience in analytics saw the growth in quantitative trading. He knew he had to get on board. What else would get the ears of analysts up if not the word ‘data-driven’?
Read all about Punits’ journey to learning and creating his own trading strategies.
Tell us something about yourself: Your current work profile, your educational background.
Formally trained as a mathematician, I work with closely valuation models and automation processes for an investment bank. I trade for my personal account and have a purpose and create new strategies in my free time.
What motivated you to learn quantitative trading?
I believe trading is a process, a notoriously difficult one. Quantitative Trading allows risk to be managed and controlled in a logical manner. The additional benefit is being able to run trading systems in addition to the day job, which undoubtedly helps the psychology.
How was your experience with course Short Selling in Trading by Laurent Bernut?
Quantra courses are short and crisp. They come straight to the point and delve into deep concepts immediately. This, with the simplicity of the thought process which Mr Bernut outlines adds value to both serious and intermediate. They, are perfect for serious and/or intermediate learners but also the enthusiastic beginners.
I enjoyed the course by Laurent Bernut on Short Selling since it is quite applicable in real trading. Whilst a system is provided, it is modular so students can focus on parts they believe are relevant to them. The code given and used in the course can be used immediately and the fact it is directly available shows the confidence Mr Bernut has.
Be it making the shift from manual to automated trading, or starting your own High-Frequency Desk, with QuantInsti courses the goal will not be far. 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.
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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®. Success Stories 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.