Moving from a Finance Background into Algorithmic Trading
Summary
Siddharth Bhatia describes moving from a liberal arts degree and finance work into algorithmic trading. After gaining experience in the financial industry and completing the CFA, he learned programming and trading technology to update his skills and apply algorithms in his own trading business. He says the course helped him see that developing trading software could be feasible for a small trader, even without prior coding knowledge.
His practical advice is to turn trading ideas into simple systems and observe them in a paper account, paying attention to daily profit and loss and drawdowns. He argues that market experience is needed alongside quant and coding knowledge, since coursework alone cannot teach a trader how to respond to losses. These are personal recommendations from an interview, not documented results: the article provides no strategy specifications, account data, or evidence that paper trading predicts live performance.
Key ideas
- A finance professional can build programming skills to develop algorithmic trading ideas.
- Siddharth recommends observing ideas in a paper account and tracking daily profit and loss.
- He stresses learning how drawdowns feel through market experience.
- The interview provides advice and personal experience, not measured strategy results.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.