Open practice / GitHub
The monikerprivacy-byte profile currently shows 18 public repositories. These featured projects are the clearest entry points into the options research, analytics and AI trading work.
NIFTY 15-minute XGBoost research corpus covering feature engineering, walk-forward validation, signal stickiness, gate ablations and live-desk replay studies.
Full-stack NIFTY options research platform with AI research, backtest engines, Fyers integration and a frontend.
Real-time options analytics for NIFTY, BANKNIFTY, FINNIFTY and SENSEX using FastAPI, Lightweight Charts and Dhan API data.
An NSE F&O algorithmic trading research blueprint with broker adapters, a backtest engine and documented architecture.
Bitcoin direction-prediction research with LightGBM, triple-barrier labels, a costed backtest and a paper-trading loop.
A Dhan money-management dashboard, study browser, decision cockpit and Pine Script indicators for NIFTY research.
These are research and software projects, not a single trading performance record. Start with the README, inspect the data and evaluation assumptions, then check the limitations before drawing conclusions.
The project map is intentionally connected to the XGBoost research note and the Option Trading with AI site. The website explains the method; GitHub shows the implementation surface.
Educational disclaimer: The repositories and related material are for software research and education only. Backtested or simulated results do not guarantee future performance and are not investment advice.
