Welcome to the Stock Prediction API documentation

Github: https://github.com/duncanmazza/ml_stock_prediction_api/tree/master

Introduction

The goal of our project is to create a stock market modeling API that would utilize multiple different types of machine learning models to learn patterns in stock prices and make predictions about future stock prices. With the goal of an API in mind, we have integrated automatic documentation building and our code base consists primarily of object-oriented code. To that end, we integrated Yahoo’s API a class that serves as a common ground for the disparate models to acquire data.

Information on each part of the machine learning model as well as examples of the results are found in the notes below.

Notes

• Understanding the LSTM
• Understanding the GPM
• The approach to combining models
• Usage
• Examples

All of our module’s code is documented and can be found here:

Code Documentation:

• moneymaker
  • main module
  • src package
  • tests package

Indices and tables

• Index

• Module Index