Finance-And-ML / US-Stock-Prediction-Using-ML-And-Spark
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:
- Materials for IBM Spark contest. About the real-world application of big data and spark.☆78Updated 6 years ago
- Novice's attempt for Stock Prices Prediction & Portfolio Optimization using Machine Learning with Python & Scikit Learn☆56Updated 4 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 7 years ago
- Predicting the stock market with sentiment analysis and LSTM techniques☆82Updated 4 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
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago
- Stock price trend prediction with news sentiment analysis using deep learning☆71Updated 8 years ago
- Deep Time Series Code (Stock Sentiment Prediction)☆82Updated 7 years ago
- Sentiment Analysis on Financial Stocks. Sources of information are Twitter, News, Yahoo Finance Statistics.☆62Updated 11 years ago
- ☆61Updated 6 years ago
- Data Science Projects Repository☆54Updated 6 years ago
- Implemented Recurrent Neural Networks in Keras with candlestick stock price information to predict future price movement.☆55Updated 8 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
- 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
- Predicting stocks with ML.☆43Updated 6 years ago
- Python based Quant Finance Models, Tools and Algorithmic Decision Making☆46Updated 7 years ago
- Machine Learning for Financial Market Prediction☆58Updated 6 years ago
- ☆73Updated 3 years ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆69Updated 8 years ago
- Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to asses…☆87Updated 4 years ago
- Machine Learning Stock Trading Risk Analysis (Spring 2017)☆28Updated 7 years ago
- Short Term Trading Strategy developed using technical Indicators like RSI-MACD-ADX-Bollinger Bands and study the effect of Broad Market D…☆17Updated 8 years ago
- Algorithmic Trading Challenge implemented as part of the term project for Foundations of Machine Learning at NYU Courant in Fall 2016 (ht…☆27Updated 3 years ago
- Deep Neural Network Trading collection of Tensorflow Jupyter notebooks☆62Updated last year
- Notes for Active Portfolio Management, by Grinold and Kahn☆46Updated 9 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
- Exploratory analysis, visualization of stock market data along with predictions made on it using different techniques.☆38Updated last year
- My approaches to Financial Forecasting Challenge by G-Research☆43Updated 6 years ago
- Stock Predictions through NYTimes article headlines sentiment analysis.☆84Updated 6 years ago
- Sentiment Analysis of news on stock prices☆125Updated last year