# RandomForest-StockPredictor

**Repository Path**: dengzhimin1689/RandomForest-StockPredictor

## Basic Information

- **Project Name**: RandomForest-StockPredictor
- **Description**: Utilizing the ensemble method of random forests to predict stock prices.
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 0
- **Created**: 2019-10-19
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Random Forest Stock Predictor
Utilizing the ensemble method of random forests to predict stock prices, based on the results of Khaidem, Saha, & Dey (2016).
Group course project for *Ensemble Methods of Machine Learning*, summer semester 2017 at the University of Osnabrück.
### Usage
1. Clone repo with: \
```git clone https://github.com/johnberroa/RandomForest-StockPredictor.git```
2. Use the [Technical Analysis Notebook.ipynb](Technical%20Analysis%20Notebook.ipynb) to generate indicators by running the whole notebook.
  This will save them to the file ```data_preprocces.csv```. 
3. Next run the [Random Forest Notebook.ipynb](Random%20Forest%20Notebook.ipynb). The Results can be found in the results directory.