jnenx

A-Multi-Layer-and-Multi-Ensembled-Stock-Trader-Using-Deep-Learning-and-Deep-Reinforcement-Learning

RAT

RLTrader

A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym

AoASDCN

awesome-ai-in-finance

🔬 A collection for those AI (RL / DL / SL / Evoluation / Genetic Algorithm) used in financial market. otherwise, we add Technology Analysis / Alpha Research / Arbitrage and other useful strategies tools & docs in quantitative finance market.

awesome-quant

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

compendium

The Greatest Collection of anything related to finance and crypto

Crypto-Signal

Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks

ddpg-rl-portfolio-management

Using Reinforcement Learning with Deep Deterministic Policy Gradient for Portfolio Optimization

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

eiten

Statistical and Algorithmic Investing Strategies for Everyone

EliteQuant

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

financial-machine-learning-2

A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)

FinNLP-Progress

NLP progress in Fintech. A repository to track the progress in Natural Language Processing (NLP) related to the domain of Finance, including the datasets, papers, and current state-of-the-art results for the most popular tasks.

gym-continuousDoubleAuction

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray (RLLib) is used for training.

hft-1

real high-frequency-trading system based on c++

jesse

An advanced crypto trading framework

LOBpipeline

Limit order book processing GPU pipeline

Machine-Learning-for-Asset-Managers

Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

machine-learning-for-trading

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

ML-trading

NeuroEvolutionMarketTrader

Neuro evolution agent to buy and sell stocks atumatically

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).

PyPortfolioOpt

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

reinforcement_trader

Final Year Project (NTU SCSE AY1920): Reinforcement Trading for Multi-Market Portfolio with Crisis Avoidance

skoltech-dl-project

Skoltech Deep Learning course 2020 project - Convolutional RNNs for Portfolio Investments of Cryptocurrencies using Order Book Data

Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

surpriver

Find big moving stocks before they move using machine learning and anomaly detection

T-1000

:zap: :zap: 𝘋𝘦𝘦𝘱 𝘙𝘓 𝘈𝘭𝘨𝘰𝘵𝘳𝘢𝘥𝘪𝘯𝘨 𝘸𝘪𝘵𝘩 𝘙𝘢𝘺 𝘈𝘗𝘐

trading_gym

a unified environment for supervised learning and reinforcement learning in the context of quantitative trading