I Wrote a Book: Option Trading with AI
After months of research on the Indian derivatives market, my book Option Trading with AI: XGBoost, Transformers & Quantized Models for the Retail Nifty Trader is now live on Kindle.
👉 Read it on Amazon: https://www.amazon.in/dp/B0H9ZNTBPK
Why this book exists
Most "AI for trading" content is either academic math with no executable code, or retail gurus selling signals. This book sits in the middle: a working, code-first playbook for the retail Nifty trader who wants to build their own models — not rent someone else's.
What's inside
- XGBoost for option-chain OI — turning open interest, PCR, and max-pain into a ranked feature set
- Transformers for sequence modeling — using attention on intraday Nifty spot + futures basis
- Quantized models for edge deployment — running inference on a phone/termux-class device at low latency
- Backtesting discipline — why most retail "strategies" fail out-of-sample, and how to avoid the leak
- Risk framing — position sizing, drawdown limits, and the cost of theta
Who it's for
- Nifty 50 / Nifty Bank option buyers who want a quantitative edge
- Python users comfortable with pandas who want a real ML pipeline
- Anyone tired of paid tips and ready to build their own research stack
A note on responsibility
This is research and education, not SEBI-registered advice. The goal is to make you a better researcher of your own trades — not to hand you a black box.
Where to start
- Grab the book: https://www.amazon.in/dp/B0H9ZNTBPK
- Explore the free NSE research site: https://shaktitiwari715-ai.github.io/shakti-tiwari-nse/
- Follow the build logs and follow-up articles here on Dev.to
See you on the other side. — Shakti Tiwari
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