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ufosky-ex's Projects

awesome-quant icon awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

backtrader icon backtrader

Python Backtesting library for trading strategies

basana icon basana

A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.

btgym icon btgym

Scalable, event-driven, deep-learning-friendly backtesting library

crypto-rl icon crypto-rl

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

elegantrl icon elegantrl

Cloud-native Deep Reinforcement Learning. 🔥

elitequant icon elitequant

A list of online resources for quantitative modeling, trading, portfolio management

finrl icon finrl

FinRL: Financial Reinforcement Learning. 🔥

finrl-meta icon finrl-meta

FinRL­-Meta: Data-Driven Metaverse for Financial Reinforcement Learning.

gym-anytrading icon gym-anytrading

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

gym-mtsim icon gym-mtsim

A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)

investment_data icon investment_data

Scripts and doc for https://www.dolthub.com/repositories/chenditc/investment_data

lean icon lean

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

marketvectors icon marketvectors

Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)

pgportfolio icon pgportfolio

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).

pomdp-baselines icon pomdp-baselines

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

qlib icon qlib

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 icon quantaxis

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 icon ray

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.

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