We attempt to build predictive ML models to help investors create dividend forecasts for S&PP500 companies. By building a proprietary data pipeline, we perform data preprocessing, cleaning and feature engineering on historic financial data to derive market insights.

Feel free to locally run this software on your computer. To do so, first clone this repository to your local system.

git clone ssh://[email protected]/navyamehta/dividend-forecast-simulation.git
cd dividend-forecast-simulation/enghacks
python test.py

The test.py will launch the front-end on local host, allowing you to interact with our stack. To view the actual model development, feel free to go to model-development and open the Jupyter Notebooks either using an existing cloud service or the MyBinder platform.