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Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks
Adjusting for Autocorrelated Errors in Neural Networks for Time Series
Quant/Algorithm trading resources with an emphasis on Machine Learning
Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)
Datasets, papers and books on AI & Finance.
Performing a trading strategy using deep deterministic policy gradients to know when to buy, hold or sell stocks in a virtual environment that simulates stock prices.
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)
This is the project for deep learning in stock market prediction.
The earnings conference call dataset of S&P 500 companies
Source codes of F-HMTC (IJCAI'20)
A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097
Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.
HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction
Code for WWW-20 Paper: HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Reproduction of the paper "Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations"
Multi-scale Two-way Deep Neural Network
The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"
The work aims to explore Value based, Deep Reinforcment Learning (Deep Q-Learning and Double Deep Q-Learning) for the problem of Optimal Trade Execution. The problem of Optimal Trade Execution aims to find the the optimal "path" of executing a stock order, or in other words the number of shares to be executed at different steps given a time constraint, such that the price impact from the market is minimised and consequently revenue from executing a stock order maximised.
Market Making via Reinforcement Learning
Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
Code for stock movement prediction from tweets and historical stock prices.
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.