hemangjoshi37a/hjalgos_notebooks ↗
Created Jan 3, 2026 · View the hemangjoshi37a/hjalgos_notebooks repository page
hjalgos_notebooks
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Apr 20, 2021
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About hemangjoshi37a/hjalgos_notebooks
This project provides a collection of Jupyter notebooks for implementing algorithmic trading strategies on Indian stock exchanges (NSE and BSE) using Zerodha's kite-connect API. The repository enables traders to automate their trading operations by connecting to Zerodha's brokerage platform through OAuth authentication, with a straightforward setup process that involves running an authentication notebook and clicking through an authorization link.
The project is designed for traders and developers interested in building automated trading systems for Indian markets. It uses machine learning and algorithmic approaches to develop and backtest trading strategies, as evidenced by the related projects and topics listed. The repository is part of a broader ecosystem of trading tools created by the author, including portfolio management systems and stock prediction models using transformers.
The codebase is primarily composed of Jupyter notebooks, making it accessible to users who prefer interactive computing environments for developing and testing trading algorithms. This format allows for incremental development and easier visualization of results, which is particularly useful for algorithmic traders who need to iterate quickly on strategy refinement.