NanditaRao / Sentiment-Analysis-On-Finance-DataLinks
The application is a cloud service that provides the functionality of performing sentiment analysis on stock market and financial data. The application can be hosted on Google App Engine and makes use of many of the GAE services like Search Service, MemCache, DataStore etc. Given the name of a company, data from various sources like Twitter, Fac…
☆20Updated 12 years ago
Alternatives and similar repositories for Sentiment-Analysis-On-Finance-Data
Users that are interested in Sentiment-Analysis-On-Finance-Data are comparing it to the libraries listed below
Sorting:
- Finco automates the process of generating financial documentation and valuations for companies traded on the NASDAQ and NYSE. Provides us…☆27Updated 10 years ago
- QuantInsti EPAT: Final Project on Statistical Arbitrage☆117Updated 8 years ago
- Sentiment Analysis on Financial Stocks. Sources of information are Twitter, News, Yahoo Finance Statistics.☆63Updated 12 years ago
- The Thalesians' Python library☆64Updated 9 years ago
- A collection of code snippets that can be constructed into larger trading algorithms.☆110Updated 8 years ago
- Groups a company's news articles from Yahoo Finance and Google Finance using non-negative matrix factorization (NMF)☆19Updated 15 years ago
- Sample algorithmic trading strategies☆30Updated 12 years ago
- Python library for high frequency portfolio analysis, intraday backtesting and optimization☆68Updated 8 years ago
- A Python framework for R&D of financial investment strategies, and trading them algorithmiclly via Quantopian.com☆51Updated 11 years ago
- A model for forecasting stock volatility☆22Updated 8 years ago
- HFTrader is fully automated high frequency trading system☆96Updated 13 years ago
- An engine for algorithmic forex trading☆14Updated 10 years ago
- Assisting repository for the published paper investigating ensemble methods in algorithmic trading.☆44Updated 7 years ago
- Python for Financial Data Analysis with pandas☆71Updated 6 years ago
- If you are professionals, retailers or even organisms trading on a financial market, you know that data given on online platforms is not …☆35Updated 10 years ago
- Stock market and Twitter data☆29Updated 8 years ago
- Quantitative Finance using python - Derivatives Pricing☆46Updated 7 years ago
- Novice's attempt for Stock Prices Prediction & Portfolio Optimization using Machine Learning with Python & Scikit Learn☆56Updated 4 years ago
- Quantitative trading kit, for hackers☆125Updated 4 years ago
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆94Updated 3 years ago
- Select a supervised algorithm that can predict stock prices of historical data based on the predictors (statistical indicators). Accordin…☆44Updated 2 years ago
- Using TensorFlow machine learning and Twitter sentiment analysis to predict stock trends☆55Updated 8 years ago
- Algorithmic Trading program, that uses Genetic Programming and Genetic Algorithms to predict stock prices.☆106Updated 6 years ago
- Walk through of Michael Halls-Moore's "Success Algorithmic Trading" Ebook☆18Updated 3 years ago
- ☆45Updated 5 years ago
- portfolio construction and quantitative analysis☆144Updated 10 years ago
- α collection of resources for people interested in quant finance☆53Updated 6 years ago
- Statistical arbitrage simulation, modeling and backtesting with Python.☆57Updated 9 years ago
- Market Making / Stat Arb strategy☆62Updated 8 years ago
- Option Pricing, Volatility Prediction, Machine Learning, Black Scholas, Web Crawling☆59Updated 9 years ago