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screener

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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.

  • Updated Mar 19, 2025
  • Jupyter Notebook

Remote MCP server for top-down portfolio construction with Interactive Brokers typed catalog of 468 IBKR screeners tagged by strategy intent (value/growth/income/momentum/quality), news, live account access. OAuth + static bearer auth. Works with Claude.ai custom connectors, Claude Code, and any HTTP MCP client.

  • Updated Jun 8, 2026
  • Python

A Python-based Nasdaq Stock Screener with a Tkinter GUI that evaluates 47 custom conditions on simulated IBKR OHLC data. This application allows you to upload a ticker list (up to 50 tickers), select a screening date, enable/disable individual screening conditions, and then run the screener to display and save the results.

  • Updated Oct 2, 2026
  • Python

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