stock-market-prediction

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

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

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

Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.

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

Deep Trading using Convolutional Neural Network

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.

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

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

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

Stock market prediction using LSTM

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

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 prediction via sentiment analysis of financial news. Winner of VITHack 2020 in FinTech Domain

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 of the market up or down conditioned on the values of the features in the dataset over the previous N (trading) days.

[Desktop Application] Stock Market Prediction Application with Interactive Curves and Interface with a feature to include user's intuition into the Prediction.(Markets : NSE, BSE, S&P500)

Using article and company embeddings to calculate adjusted media sentiment.

Stock Prices Analysis: Final Exam

Predicting live stocks using market and news data.

Stock market prediction of a stock using stacked LSTM

This is about news sentiment on stock market prediction

Graduate capstone project to predict one-year price change of stocks using sentiment analysis of tweets.

MA thesis in Economics that I defended at University of Warsaw. The thesis has received a very good grade.

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.

Predicting NYSE with respect to time further ahead.

Repository for my academic project that aimed to forecast the evolution of a stock market price using neural networks and LSTM.