🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling

Reproduce research from paper "Predicting the direction of stock market prices using random forest"

Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction

Deep Trading using Convolutional Neural Network

Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis"

Stock market data can be interesting to analyze and as a further incentive, strong predictive models can have large financial payoff. The amount of financial data on the web is seemingly endless. A large and well structured dataset on a wide array of companies can be hard to come by. Here I provide a dataset with historical stock prices (last 5 years) for all companies currently found on the S&P 500 index.

Model news data in short, medium and long term for stock price trend prediction

In this repository i created many data scince - machine learning projects like(Deep dream,weather prediction,Movie recommender system etc) with code & datasets

Predicting live stocks using market and news data.

Stock market prediction using LSTM

Stock Prices Analysis: Final Exam

Stock Market Prediction on High-Frequency Data Using soft computing based AI models

Using article and company embeddings to calculate adjusted media sentiment.

Stock market prediction of a stock using stacked LSTM

Stock value alanatics program

Our school had a stock market prediction challenge. I tried to get ahead by building NLP prediction engine and hacked something together in a few days.

This is about news sentiment on stock market prediction