Stream Stock Data
If you want to build some machine learning models to predict stock prices, what better way than by streaming live stock data. Using historical data is usually a good way to get started, but for the more “hardcore” data scientist/machine learning engineer trying to build the most robust models getting the right data is key. In this tutorial we will stream stock prices using the Python library robin_stocks. Since getting stock prices rarely is enough to build models, survey the other functions available in the robin_stocks library to build the “best” model. After this tutorial, you may consider building a bot with the model you built and see how much money it would gain (or lose). Now lets roll up our sleeves and get our keyboard dirty #dataengineering #python #stocks.
Outline:
- Robin_Stocks API Configuration
- Provision Oracle Cloud Database (ATP)
- APEX RESTful Services
- Streaming Stock Prices
- Conclusion
Robin_Stocks API Configuration:
Robin_Stocks is a python library for interacting with the Robinhood API. Use of this library assumes you already have a Robinhood account. If so, you can use python scripts that can execute stock trades, get stock prices, and a variety of other functions inherent in your Robinhood…
