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

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

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

Elixir client for Kite Connect APIs

Auto execution of stock trades

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

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

PHP kiteconnect client websocket ticker implementation.

Zerodha's API implementation using KiteConnect - Typescript Language

Scraper and Selenium Login Automator for Zerodha Kite

This chrome plugin can be used to make zerodha's kite 3 app to full screen to better utilize the chart space for easy analysis

This Module will load NSE Top 100 Stocks and Its Price (Current LTP and 5 Day Previos Price) will store all NSE Stocks Symbol in Database(using Mysql) .

Tiny go package for fetching high and low value of a stock for any given period range using kite connect historical data APIs.