1002 Open source projects that are alternatives of or similar to FinRL

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

Live Trading. Please star.

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

Automatically push Monzo and Starling transactions into YNAB in real time.

Combining deep learning and reinforcement learning.

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

A TensorFlow-based framework for learning about and experimenting with reinforcement learning algorithms

Mortgage Processing App using Hyperledger Fabric Blockchain. Uses channels for privacy and access, and restricts read/write previleges through endorsement policies

Android library to draw beautiful and rich line charts.

An Insomnia Workspace for Alpaca API

Extensible Algo-Trading Python Package.

Futu Algorithmic Trading Solution (Python) 基於富途OpenAPI所開發量化交易程序

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

Easy to deploy stock trigger bot built using python and mongoDB

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

⚠️ Deprecrated in favor of https://github.com/piquette/finance-go

The IEX API provides any individual or academic, public or private institution looking to develop applications that require stock market data to access near real-time quote and trade data for all stocks trading on IEX.

TuShare is a utility for crawling historical data of China stocks

Free and Online Accounting Software

a payment application intended for deployment by the united states treasury

A multi-chain DeFi development toolkit for Elixir

We reproduced DeepMind's results and implement a meta-learning (MLSH) agent which can generalize across minigames.

💵 Modern Python library for working with money and monetary amounts. Human friendly and flexible approach for development. 100% test coverage + built-in support for GraphQL and Protocol Buffers transports using current best-practices.

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

Deep reinforcement learning with tensorflow2

NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

Autonomous Drifting using Reinforcement Learning

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

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. An increasing number of SOTA Quant research works/papers are released in Qlib.

Datasets, papers and books on AI & Finance.

Intrinio NodeJS SDK for Real-Time Stock & Crypto Prices

Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]

Opensource FinTech standards & payment provider data

基于Python的开源量化交易平台开发框架

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

Money Creation Made Easy

Finac - financial accounting for humans

Reinforcement Learning for Super Mario Bros using A3C on GPU

Cloud-native Financial Reinforcement Learning

The Financial Industry Business Ontology (FIBO) defines the sets of things that are of interest in financial business applications and the ways that those things can relate to one another. In this way, FIBO can give meaning to any data (e.g., spreadsheets, relational databases, XML documents) that describe the business of finance.

Round-up your Starling Bank transactions and transfer the proceeds to a savings goal

Deep Reinforcement Learning Algorithms Implementation in PyTorch

Funciones utiles para extraer y validar información general de números de cuenta IBAN de Costa Rica

Deep Reinforcement Learning for Robotic Grasping from Octrees

Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym

A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

List of awesome resources for machine learning-based algorithmic trading

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Database of German Banks and their HBCI / FinTS endpoints

Deep Developmental Reinforcement Learning

Personal Finance (Net Worth Tracker) Wealth Management Spreadsheet