Pipeline Extension for Live Trading
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Updated
Jul 25, 2023 - Python
Pipeline Extension for Live Trading
Stock returns dashboard in React and Flask using data from IEX
A python application that leverages Microsoft Azure to build a fully functional trading system.
Implement a website via which users can “buy” and “sell” stocks (with real-time share prices, user account database, cookie session)
Extract, transform, and load market data from various API's into a MySQL database.
Luna options is a client - server project designed in Python. The server scrapes S&P500 stock and option data form the IEX Cloud API. It then records and manipulates the data in a SQL database, highlighting trends and option strategies. The server serves the data to the more lightweight client application that has a custom written GUI in Python.
Scans S&P 500/Nasdaq for price performance after previous significant price changes. Using IEX Finance API
A web application where users can register/log in, quote stocks, trade stocks, view history, and add cash. Built using Flask, HTML, CSS, Bootstrap, and SQLite. Real-time stock prices are fetched from the IEX Cloud API.
A website which users can “buy” and “sell” real time stocks.
A personalized Python process that sends an email to you daily at a specified time giving updates on stocks you would like to follow.
Bench is a free, open-source command-line tool and dashboard web app for visualizing stock metrics.
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