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Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019
Predicting the stock market with sentiment analysis and LSTM techniques
Using python and scikit-learn to make stock predictions
Diagrams for visualizing neural network architecture (Created with diagrams.net)
Python Pushshift.io API Wrapper (for comment/submission search)
We used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time period, in order to make predictions in stock trends. We built a model that will be able to buy and sell stock based on profitable prediction, without any human interactions. The model uses Natural Language Processing (NLP) to make smart “decisions” based on current affairs, article, etc. With NLP and the basic rule of probability, our goal is to increases the accuracy of the stock predictions.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity, Objectivity, Positive, Negative, Neutral) data is gathered from the news data and further used to predict stock prices. Achieved an accuracy of 94% using XGBoost.
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
Code for stock movement prediction from tweets and historical stock prices.
A comprehensive dataset for stock movement prediction from tweets and historical stock prices.
Algorithmic Trading using Sentiment Analysis on News Articles
Repository for the Kaggle competition: Two Sigma: Using News to Predict Stock Movements (https://www.kaggle.com/c/two-sigma-financial-news/data)
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.