A Trader’s Path from Software Engineering to Options Analysis
Summary
This interview follows Sanjot Raibagkar’s move from software engineering into algorithmic trading. He describes a decade of trading, work on financial technology projects, and a focus on Nifty and Bank Nifty options. His technical and data science background supports his market analysis, which he checks against charts before reviewing trades manually.
His approach uses algorithms for analysis rather than fully automated order placement, and he describes working at a low trading frequency. He says data interpretation, experimentation, and patience are central to developing trading tools, while combining market knowledge with technology skills is important. The account is personal experience, not a tested strategy: it gives no performance data or detailed rules for signals, risk controls, or execution. Its practical value is in illustrating one workflow and career path, rather than establishing that the approach is profitable or broadly applicable.
Key ideas
- Sanjot uses software and data science skills to analyze index options.
- He checks algorithmic analysis against charts and reviews trades manually.
- His trading focus is Nifty and Bank Nifty options at low frequency.
- He emphasizes patience and repeated experimentation when building trading methods.
- The interview gives personal experience rather than measured strategy results.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.