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An implementation of DDPG using PyTorch for algorithmic trading on Chinese SH50 stock market.
DQN, Reinforce, A2C (Reference: https://github.com/pytorch)
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Forex Trading with Artificial Intelligent, using pytorch
Quantopian Remote Debugger for Python
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.
interprocess communication between C# and kdb+
source : http://coin.wne.uw.edu.pl/pwojcik/hfd_en.html
Python quantitative trading strategies including MACD, Pair Trading, Heikin-Ashi, London Breakout, Awesome, Dual Thrust, Parabolic SAR, Bollinger Bands, RSI, Pattern Recognition, CTA, Monte Carlo
基于python的量化交易平台
量化投资
The QuantLib extension modules
Powerful multi-threaded coroutine dispatcher and parallel execution engine
linux内核网络协议栈源码阅读分析注释--带详尽中文分析注释以及相关流程分析调用注释,对理解分析内核协议栈源码很有帮助
Reinforcement learning in pair trading in tensorflow (WIP)
📈 如何用深度强化学习自动炒股
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.
Version controlled data for AlphaGo repository
CVXPY Portfolio Optimization Sample
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“.
https://arxiv.org/pdf/2106.09305v2.pdf
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
stock like snake
PyTorch version of Stable Baselines, improved implementations of reinforcement learning algorithms.
stock predict by cnn and lstm
Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data from Jan 2000 to Aug 2016
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.