Finance-And-ML / US-Stock-Prediction-Using-ML-And-SparkLinks
Predict stock price based on financial news feeds
☆59Updated 7 years ago
Alternatives and similar repositories for US-Stock-Prediction-Using-ML-And-Spark
Users that are interested in US-Stock-Prediction-Using-ML-And-Spark are comparing it to the libraries listed below
Sorting:
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago
- We used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time peri…☆77Updated 8 years ago
- Materials for IBM Spark contest. About the real-world application of big data and spark.☆77Updated 6 years ago
- Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity…☆48Updated 7 years ago
- Novice's attempt for Stock Prices Prediction & Portfolio Optimization using Machine Learning with Python & Scikit Learn☆56Updated 4 years ago
- Deep Time Series Code (Stock Sentiment Prediction)☆83Updated 7 years ago
- Sentiment Analysis on Financial Stocks. Sources of information are Twitter, News, Yahoo Finance Statistics.☆62Updated 12 years ago
- Predicting the stock market with sentiment analysis and LSTM techniques☆82Updated 5 years ago
- Sentiment Analysis of news on stock prices☆127Updated 2 years ago
- ☆61Updated 6 years ago
- predict the price trend of individual stocks using deep learning and natural language processing☆76Updated 7 years ago
- Stock Predictions through NYTimes article headlines sentiment analysis.☆84Updated 7 years ago
- Stock closing and opening forecasting using Deep neural network and LSTM(technical indicators included)☆20Updated 7 years ago
- LSTM RNN for sentiment-based stock prediction☆65Updated 7 years ago
- 💰Step by steps to explore and analysis the data, build model by utilizing machine learning model or deep learning model, the tools inclu…☆56Updated 6 years ago
- Algorithmic Trading program, that uses Genetic Programming and Genetic Algorithms to predict stock prices.☆102Updated 5 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
- Stock market prediction is the method of trying to determine the future value of publically listed company stock traded on an exchange. T…☆49Updated 9 years ago
- Reproduce research from paper "Predicting the direction of stock market prices using random forest"☆117Updated 7 years ago
- Autoencoder framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)☆133Updated 4 years ago
- Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided …☆127Updated 4 years ago
- ☆83Updated 6 years ago
- Stock price trend prediction with news sentiment analysis using deep learning☆71Updated 8 years ago
- Algorithmic Trading using Sentiment Analysis on News Articles☆169Updated 4 years ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆70Updated 8 years ago
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆93Updated 3 years ago
- the book with script☆79Updated 7 years ago
- Stock analysis/prediction model using machine learning☆188Updated 7 years ago
- Implemented a system that analyses previous stock data of various companies, processes Time-Series data and aims to forecast the trends o…☆81Updated 8 years ago
- Machine Learning Stock Trading Risk Analysis (Spring 2017)☆28Updated 8 years ago