ShreyamsJain / Stock-Price-Prediction-Model
Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity, Objectivity, Positive, Negative, Neutral) data is gathered from the news data and further used to predict stock prices. Achieved an accuracy of 94% using XGBoost.
☆48Updated 7 years ago
Alternatives and similar repositories for Stock-Price-Prediction-Model:
Users that are interested in Stock-Price-Prediction-Model are comparing it to the libraries listed below
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆60Updated 3 years ago
- Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…☆21Updated 7 years ago
- This project is to practice applying Long Short-Term Memory network in deep learning to predict time series financial data. I selected Am…☆15Updated 7 years ago
- Python based Quant Finance Models, Tools and Algorithmic Decision Making☆46Updated 7 years ago
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆92Updated 3 years ago
- predict the price trend of individual stocks using deep learning and natural language processing☆75Updated 7 years ago
- Improve S&P 500 stock price prediction (random forest and gradient boosting trees) with time series similarity measurements: DTW, SAX, co…☆98Updated 3 years ago
- kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDAForecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning …☆133Updated 2 years ago
- Novice's attempt for Stock Prices Prediction & Portfolio Optimization using Machine Learning with Python & Scikit Learn☆56Updated 3 years ago
- Quantifying ESG Alpha using Scholar Big Data: An Automated Machine Learning Approach.☆71Updated 4 years ago
- ☆71Updated 2 years ago
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago
- Stock markets are an essential component of the economy. Their prediction naturally arouses afascination in the academic and financial w…☆21Updated 3 years ago
- Mean Variance (Markowitz) Portfolio Optimization and Beyond☆62Updated 10 months ago
- Algorithmic approach to analysing performance and the similarity of different stocks in S&P 500 via cluster analysis.☆9Updated 8 years ago
- Using past price data and sentiment analysis from news and other documents to predict the S&P500 index using a LSTM RNN. Idea replicated …☆32Updated 9 months ago
- keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen test☆31Updated 6 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆27Updated 5 years ago
- Deep q learning on determining buy/sell signal and placing orders☆47Updated 5 years ago
- Reproduce research from paper "Predicting the direction of stock market prices using random forest"☆115Updated 6 years ago
- Image Classification for Trading Strategies - Project for Machine Learning Class☆38Updated 3 years ago
- Stock closing and opening forecasting using Deep neural network and LSTM(technical indicators included)☆20Updated 7 years ago
- Optimization techniques on the financial area for the hedging, investment starategies, and risk measures☆41Updated 4 years ago
- Quantitative analysis of fundamentals in quarterly reports by Machine Learning☆22Updated 5 years ago
- Deep Time Series Code (Stock Sentiment Prediction)☆82Updated 6 years ago
- Stock and Forex market prediction using ML and time-series modelling☆37Updated 6 years ago
- Predicting the stock market with sentiment analysis and LSTM techniques☆81Updated 4 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 6 years ago
- ☆62Updated 6 years ago
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆87Updated 6 months ago