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.
Extract, transform, and load market data from various API's into a MySQL database.
Implement a website via which users can “buy” and “sell” stocks (with real-time share prices, user account database, cookie session)
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.
A website which users can “buy” and “sell” real time stocks.
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.
Scans S&P 500/Nasdaq for price performance after previous significant price changes. Using IEX Finance API
This is a simple web appliation (built using flask) that uses IEX's API to take live stock market data and implement that into the buy, sell and quoting prices
Flask web application that enables the user to "buy" and "sell" stocks.
Bench is a free, open-source command-line tool and dashboard web app for visualizing stock metrics.
Add a description, image, and links to the iex-api topic page so that developers can more easily learn about it.
To associate your repository with the iex-api topic, visit your repo's landing page and select "manage topics."