Combining Trading Experience and Coding to Enter Algorithmic Trading
Summary
This interview describes how options trader Vishnu Bharath moved from an engineering and telecommunications background into quantitative trading by combining market familiarity with programming skills. His initial interest in markets came through discussions with his father, an options seller, and he sought algorithmic trading education as a way to build an independent skill set and change careers.
In his current role, Bharath says he uses Python to backtest complex options strategies, adding a more quantitative process to his trading work. He credits his trading knowledge with securing the role and says coding experience strengthened his position during salary negotiations. His practical advice is to keep coding, study industry material, and put sustained effort into practice beyond formal classes. This is a personal career case study, not evidence that a particular strategy is profitable or that training produces uniform career outcomes; the article also includes substantial course promotion.
Key ideas
- Combining existing trading knowledge with programming can support a move into algorithmic trading.
- Bharath reports using Python to backtest options strategies in his professional role.
- He describes consistent practice and independent study as important complements to formal instruction.
- The account is an individual career story and does not establish typical outcomes or trading performance.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.