The apex of my CSE tenure at UIET Kurukshetra University in 2018, This project focuses on Zerodha, involving live online trading in the NSE-BSE with real money, utilizing Artificial Intelligence techniques. The project employs Python programming, incorporating live trading bots, indicator screeners, and back testers through REST API and websockets.

Trade Algorithmically using Zerodha's API

This library utilizes Kite Connect APIs to fetch the option chain of all the derivatives traded in the Indian stock market.

The official Rust client library for the Kite Connect trading APIs

Download Indian NSE - BSE Stocks Historical Per minute Data

Unofficial Python library for Zerodha Kite Web and KiteConnect

Zerodha MCP Server & Client - AI Agent (w/Agno & w/Google ADK)

Open Source Desktop App for Zerodha Kite. Developed for Community.

An Unofficial Library Containing JSON Schema and Data Class / Structs / Class Object Code For Serializing And Deserializing The Kite Connect Trading Apis JSON Responses Into The Language Of User Choice.

This files contains all the necessary function required to run the Kite Ticker API to Stream and Fetch Option Data

Advanced TradingView like watchlists for Zerodha Kite

An Async library for accessing Indian stock broker API and Websockets.

Elixir client for Kite Connect APIs

This is a wrapper for https://github.com/zerodhatech/pykiteconnect

Auto execution of stock trades

PHP kiteconnect client websocket ticker implementation.

Customized algo trading platform based on kiteconnect and kite ticker. (OOP concept)

TurtleStack Trading MCP Server is a comprehensive Model Context Protocol (MCP) server that provides unified access to multiple Indian stock brokers through Claude AI. It enables seamless trading operations, portfolio management, and advanced technical analysis across Kite (Zerodha), Groww, Dhan, and AngelOne brokers.

A simple kill switch for a kite to prevent overtrading.

Website for Automated Trading in Zerodha using Python and HTML/CSS