Skip to content

Latest commit

 

History

History
10 lines (6 loc) · 721 Bytes

README.md

File metadata and controls

10 lines (6 loc) · 721 Bytes

Deep Finalyst

A Discounted cash flow (DCF) valuation method enhanced with Goldman Sachs Marquee API, Financial Modelling Prep API, ML and neural networks.

This PennApp Hackathon project, hosted by the University of Pennsylvania and the Wharton School of Business, leverages an internal neural network to predict market trends and enhance DCF analysis with machine learning techniques for any ticker symbol traded in Canadian and US markets.

Technologies: Python. Flask as a web-framework. Pandas, Tensorflow and Keras for predictive modelling. JavaScript for graphs. Goldman Sachs Marquee API and Financial Modelling Prep API for data collection.

Check out our DevPost! https://devpost.com/software/deepfinalyst