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feelstrader icon feelstrader

A trading algorithm and website based off of public market sentiment. The project stems from the idea of predicting stock market sentiment via deep learning neural networks based off of social media platforms such as Twitter, StockTwits, Reddit, etc. A model trained on sentiment-labeled tweets/messages will be able to predict sentiments of tweets/messages posted in the future, allowing for the information to make trading decisions. These predictive results will also be visually displayed on the Django web application for users to make their own trading decisions as well.

fetching-financial-data icon fetching-financial-data

Fetching financial data for technical & fundamental analysis and algorithmic trading from a variety of python packages and sources.

ff5_mc icon ff5_mc

The topic is about using Monte Carlo technique to investigate some linear regression properties of the Fama-French five-factor model.

fhub icon fhub

Python client for Finnhub API

fin-ml icon fin-ml

This github repository contains the code to the case studies in the O'Reilly book Machine Learning and Data Science Blueprints for Finance

fin-news-sa icon fin-news-sa

Using sentiment from news to help predict stock prices

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