Stock value alanatics program

Deep Trading using Convolutional Neural Network

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

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

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 …

Stock Market Prediction using Machine Learning done as a final year university project. It uses LSSVR to train the model and is programmed in R

Stock market prediction using LSTM

Predicting live stocks using market and news data.

This is about news sentiment on stock market prediction

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.

Using article and company embeddings to calculate adjusted media sentiment.

Stock market prediction of a stock using stacked LSTM

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

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

A collection of notebooks and different prediction models that can predict the stock prices. Also a comparison of how all these models performed.

This is the the final project of the course: L330 Data Science: principles and practice at the University Of Cambridge. The task for this project is stock market prediction using a diverse set of variables. In particular, given a dataset representing days of trading in the NASDAQ Composite stock market, our aim is to predict the daily movement o…

The prediction of the Microsoft stock value is addressed pursuing two distinct strategies: 1 starting from solely the company's stock data, 2 leveraging also the overall sentiment towards the company extracted from Twitter and the records related to the ongoing pandemic.