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Type: User
Type: User
The project parsed through a data file containing 70 fundamental / momentum attributes (Returns, Volatility, RSI etc) for ~2200 US Equity Tickers and use KNN algorithm to find the nearest neighbor for a given stock and determines its Predicted fundamental ratios (P/E, P/B and P/S). Also generated a 95% confidence range for price using yearly volatility of the equity. Later improvements, as a part of the Data Science capstone project @ General Assembly, took advantage of the Pandas and Gradient Boosted Regression Techniques from Scikit learn.
Predict Stock Market using neural network
It's a machine learning challenge given by Correlation One Company
**股票市场量化工具
US stock market data since 2009
Crawl US stock data and put them on GitHub
analysis Taiwan Stock trend
taiwan stock crawler/analysis
股票自动分析工具
LStock web application develop with spring and java8.
能够自动抓取股票数据、分析股票数据
get us stock trade data and analyse it
爬取牛人的股票持仓信息,并发邮件到指定邮箱
Taiwan Stock Market tools
股票10档盘口 小工具
股票交易策略
基于开源的股票交易软件
Used Mapreduce on a Hadoop environment at CCR(University at Buffalo) to compute the monthly volatility of about 3000 stocks with each having data of about three years .There were a total of 40000 files.
Used Pig and hive on a Hadoop environment at CCR(University at Buffalo) to compute the monthly volatility of about 3000 stocks with each having data of about three years .There were a total of 40000 files. The Performance was compared with Map-Reduce.
A machine learning approach to stock analysis and investment
SML Project
Future Stock price predictions using various soft computing approaches like ABC algorithm, BAT algorithm and GA
Predicitng price of stocks listed on BSE using Natural language processing and Sentiment analysis
Automatically exported from code.google.com/p/stock-prediction-using-twitter
Simple stock price prediction using linear regression.
股票技術分析
Personal Project- Multi-Threaded Server Architecture
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.