ashishkumar30 / Stock_Market_Live_Trading_using_AI

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.

Home Page:https://kite.zerodha.com/dashboard

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College Major project Submitted for final year CSE, UIET Kuruskehtra University 2018

Zerodha Live Automate Trading using AI ML on Indian stock market

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Zerodha Live Automate Trading using AI ML on Indian stock market

Online trading using Artificial Intelligence Machine leaning with basic python on Indian Stock Market, trading using live bots indicator screener and back tester using rest API and websocket.

About the project

  • This project is based on Online trading using Artificial Intelligence Machine leaning with python on Indian Stock Market, trading using live bots indicators screener and backtesters using rest api and websocket on zerodha kite.

  • Zerodha - online broker for Automated Python program for trading in Indian stock market.

    • Getting Started with Zerodha,Starting new project with zerodha .
    • BACKTESTIG_PROGRAM - What is Backtesting?
    • Historical Data Download Code for any stock of Stock Market.
    • Stock_Screener (GUPPY) - What is Stock_Screener?
    • INDICATORS (ATR,RSI,SMA,EMA,Bollinger band ) on Historical_data 'SBI'.
    • Live_Trading_BOTS - What is a Trading BOT ?
    • Trading Live BOT (1) - BUY-SELL BOT on RSI strategy
    • Trading Live BOT (2) - GUPPY strategy bot
    • Trading Live BOT (3) - Automated bot of BUY-SELL bot on Guppy indicator 4 colours
    • Trading Live BOT (4) - Advance Multiple bot of buy/sell in one BOT with screener, backtestig

About

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.

https://kite.zerodha.com/dashboard


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