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Type: Organization
Type: Organization
A股决策Pipeline
🔬 A curated list of awesome machine learning strategies & tools in financial market.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Python Backtesting library for trading strategies
A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.
Scalable, event-driven, deep-learning-friendly backtesting library
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
A股zipline(1.2.0)
Datasets, papers and books on AI & Finance.
A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.
Cloud-native Deep Reinforcement Learning. 🔥
A list of online resources for quantitative modeling, trading, portfolio management
Fetching Financial Data (US/China)
FinGAT: A Financial Graph Attention Networkto Recommend Top-K Profitable Stocks
FinRL: Financial Reinforcement Learning. 🔥
FinRL-Meta: Data-Driven Metaverse for Financial Reinforcement Learning.
Tutorials. Please star.
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)
Scripts and doc for https://www.dolthub.com/repositories/chenditc/investment_data
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022
Official implementation of PRUDEX-Compass
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
Java开源量化交易开发框架
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.