15 skills found
Cheng-Lin-Li / Market Trend PredictionThis is a project of build knowledge graph course. The project leverages historical stock price, and integrates social media listening from customers to predict market Trend On Dow Jones Industrial Average (DJIA).
jalajthanaki / Stock Price PredictionDJIA index prices of 10 years and NYtimes news articles headline has been used to predict the DJIA index prices
ShravanChintha / Stock Market Prediction Using Daily News HeadlinesThe project is about predicting the stock market movement based on the news headlines that published on a particular day. The news data is collected from Reddit news and top 25 headlines, ranked based on reddit user votes, are taken on each day. The stock market data, DJIA (Dow Jones Industrial Average) of each day is collected from Yahoo finance. Combined both datasets to process and apply modeling techniques further to get desired results. Different NLP techniques and machine learning models are used to address the problem defined.
chandc / Inverse Reinforcement Learning For StocksImplement the model of Halperin and Feldshteyn for DJIA and SP500
viprespro / Vue Djiangvue2多端响应式web项目
yanxiyue-cloud / Djiango Pyecharts爬取国家数据网站的经济数据，利用Python编程语言及Django框架开发一个web应用，实现数据的动态抓取、分析处理并以echarts图表形式大屏展示近几年中国经济变化趋势。
djiangtw / Djiang Oss PublicOpen source code and projects by Danny Jiang
hogantan / DJIAAPPDJI Android App 2
lieblm / Thanksgiving AlphaQuantitative research tool analyzing stock performance around US Thanksgiving. 354 stocks, 8,293 observations (2000-2024). Statistical significance testing included.
misternerd / DjiaxIAX2 client library written in Java
wupengyue / Djiango Wudjango web temple
MarkTraceur / Geohash BtcA geohash coordinate calculator that uses the Bitcoin trading prices instead of the DJIA
MuhammadMoinFaisal / Real Time Stocks Price Forecasting DJIANo description available
ericoc / MarketStock market recording
DeepakT7 / Predicting Stock Movements Using News Headlines And News ArticlesThe main objective of the system is to analyse the future value of a certain stock of a particular company using the sentiment analysis and to predict whether a particular stock will go up that is whether it will increase or it will go down which means it will decrease on the basis of certain news headline, also detection of fake news and OCR was implemented for providing the user as an option for entering the news headline or a news article, the data we used was DJIA news headlines dataset and five different machine learning algorithms were used – Random Forest classifier, Naïve Bayes, Decision Tree, Logistic Regression and Support Vector Machine(SVM).
