stock-market-prediction

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

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.

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"

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

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

Deep Trading using Convolutional Neural Network

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

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

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 on High-Frequency Data Using soft computing based AI models

Stock market prediction using LSTM

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

Stock market prediction of a stock using stacked LSTM

Stock Prices Analysis: Final Exam

This is about news sentiment on stock market prediction

Using article and company embeddings to calculate adjusted media sentiment.

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)

Predicting live stocks using market and news data.

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.

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

This is an AI based project which specifically on Data domain. This Repository contains program which predicts share price for particular organization by data of past 60 days.

Predicting NYSE with respect to time further ahead.