Python Trading-Gym Resources

AutoTrader AutoTrader is Python-based platform intended to help in the development, optimisation and deployment of automated trading systems. From sim

Bitcoin Realized Volatility Forecasting with GARCH and Multivariate LSTM Author: Chi Bui This Repository Repository Directory ├── README.md

MO-Gym: Multi-Objective Reinforcement Learning Environments Gym environments for multi-objective reinforcement learning (MORL). The environments follo

Phoenix-Drone-Simulation An OpenAI Gym environment based on PyBullet for learning to control the CrazyFlie quadrotor: Can be used for Reinforcement Le

ALgorithmic_Trading_with_ML An algorithmic trading bot that learns and adapts to new data and evolving markets using Financial Python Programming and

Crypto Trading Simulator Run streamlit run main.py Dependency Python 3 streamli

Wordle RL The aim of this project is to build an AI bot that can play the Wordle game, or more generally Squabble I know there are more deterministic

AI virtual gym is an AI program which can be used to exercise and can be used to see if we are doing the exercises

lean-gym This repository lets you interact with Lean through a REPL. See Formal Mathematics Statement Curriculum Learning for a presentation of lean-g

Trading_bot Trading bot intended for 1) Tracking current prices of tokens 2) Set

Graphene Metanode is a locally hosted node for one account and several trading pairs, which uses minimal RAM resources. It provides the necessary user stream data and order book data for trading in a format one would expect from a centralized exchange API.

Senator Trades Monitor This monitor will grab the most recent trades by senators and send them as a webhook to discord. Installation To use the monito

alphasea-example-model alphasea-example-modelは、 alphasea-agent に対して毎ラウンド、予測を投稿するプログラムです。 Numeraiのexample modelに相当します。 準備 alphasea-example-modelの動作には、

Ray Vector Environment Wrapper You would like to use Ray to vectorize your environment but you don't want to use RLLib ? You came to the right place !

Evolution Gym A large-scale benchmark for co-optimizing the design and control of soft robots. As seen in Evolution Gym: A Large-Scale Benchmark for E

Silver Trading Algorithm This project was done in the context of the Applied Algorithm Trading Course (FINM 35910) at the University of Chicago. Motiv

Addressing Function Approximation Error in Actor-Critic Methods PyTorch implementation of Twin Delayed Deep Deterministic Policy Gradients (TD3). If y

qsec Quant & Systematic Crypto Research Tools --WORK IN PROGRESS-- This repo is a collection of research tools to help in exploring and building sys

TqSdk 天勤量化交易策略程序开发包 TqSdk 是一个由信易科技发起并贡献主要代码的开源 python 库. 依托快期多年积累成熟的交易及行情服务器体系, TqSdk 支持用户使用极少的代码量构建各种类型的量化交易策略程序, 并提供包含期货、期权、股票的 历史数据-实时数据-开发调试-策略回测-

PettingZoo is a Python library for conducting research in multi-agent reinforcement learning, akin to a multi-agent version of Gym. Our website, with

PTV is a useful widget for trading view for doing paper trading when bar reply is enabled.(this feature did not implement in trading view)

PyPortfolioOpt has recently been published in the Journal of Open Source Software 🎉 PyPortfolioOpt is a library that implements portfolio optimizatio

RSI Crypto Trading Bot - Binance A Crypto Trading Bot on Binance trading BTCUSDT and ETHUSDT using RSI in 25 Lines of Code Getting Started Note Python

Crypto_Bot Uses Open AI Gym environment to create autonomous cryptocurrency bot to trade cryptocurrencies. Steps to get started using the bot: Sign up

Options-Max-Pain-Calculator A python command line tool to calculate options max pain for a given company symbol and options expiry date. Overview - Ma

Trade Engine a library for demo trading | backtest and forward test simulation Features Limit/Market orders: you can place a Limit or Market order in

Robotics environments Details and documentation on these robotics environments are available in OpenAI's blog post and the accompanying technical repo

Algorithmic Trading in Python This repository Course Outline Section 1: Algorithmic Trading Fundamentals What is Algorithmic Trading? The Differences

EazeBot Introduction Have you ever traded cryptocurrencies and lost overview of your planned buys/sells? Have you encountered the experience that your

Do you want a RL agent nicely moving on Atari? Rainbow is all you need! This is a step-by-step tutorial from DQN to Rainbow. Every chapter contains bo

Machine Learning in Asset Management If you like this type of content then visit ML Quant site below: https://www.ml-quant.com/ Part One Follow this l

High-Low Stock trading bot made using the Robinhood API / Python library... Index Installation Use Development Notes Installation To Install and run t

Crypto-trading - ML techiques are used to forecast short term returns in 14 popular cryptocurrencies. We have amassed a dataset of millions of rows of high-frequency market data dating back to 2018 which you can use to build your model.

fidelipy fidelipy is a simple Python 3.7+ library for semi-automated trading on fidelity.com. The scope is limited to the Trade Stocks/ETFs simplified

GNAT GNAT is NOT Algorithmic Trading! GNAT is a financial tool with two goals in

Cryptocurrency Trading Bot - A trading bot to automate cryptocurrency trading strategies using Python, equipped with a basic GUI. Used REST and WebSocket API to connect to two of the most popular crypto exchanges in the world.

💨 Rapidly build and deploy quantitative models for stocks, crypto, and forex 🚀 View Docs · Our Website · Join Our Newsletter · Getting Started Why B

Hands-On Machine Learning for Algorithmic Trading Hands-On Machine Learning for Algorithmic Trading, published by Packt This is the code repository fo

fastquant 🤓 Bringing backtesting to the mainstream fastquant allows you to easily backtest investment strategies with as few as 3 lines of python cod

technical_indicators_cryptos Using technical indicators to find optimal trading strategies to deploy onto trading bot. In the Jup Notebook you wil

This is a Algo/script trading for Deribit. You need an account with deribit, to

GUI Pancakeswap 2 and Uniswap 3 SNIPER BOT 🏆 🥇 (MOST ADVANCE TRADING BOT SUPPORT WINDOWS LINUX MAC) (AUTO BUY TOKEN ON LAUNCH AFTER ADD LIQUIDITY) S

Trading Strategies ~50% of codes from the Applied Financial Technology Course. Contributors: Claire W. Derrick T. Frank L. Utkarsh T. Course Leads: Dy

trading_ig A lightweight Python wrapper for the IG Markets API. Simplifies access to the IG REST and Streaming APIs with a live or demo account. What

PytomicDEX Makerbot A Terminal User Interface (TUI) for automated trading with Komodo Platform's AtomicDEX-API Install sudo apt install wget curl jq g

PyDynamica PyDynamica is a pure python implementation of Sociodynamica, a virtual environment to simulate a simple economy with minimal dependencies.

Can't Hide Money Bot A discord bot that manages your server's hedge fund Installing Install wkhtmltopdf sudo apt-get install wkhtmltopdf OR brew insta

GUI Pancakeswap 2 and Uniswap 3 SNIPER BOT 🏆 🥇 (MOST ADVANCE TRADING BOT SUPPORT WINDOWS LINUX MAC) (AUTO BUY TOKEN ON LAUNCH AFTER ADD LIQUIDITY) S

This is a DCA crypto trading bot built for Binance written in Python. It works by allowing you to DCA at an interval of your choosing and reports back on your average buy price as well as a chart consisting of each DCA.

gym-super-mario-bros An OpenAI Gym environment for Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The Nintendo Entertainment System (NES) us

Lux AI 2021 python game engine and gym This is a replica of the Lux AI 2021 game ported directly over to python. It also sets up a classic Reinforceme

PPO-based Autonomous Navigation for Quadcopters This repository contains an implementation of Proximal Policy Optimization (PPO) for autonomous naviga

Gym-μRTS with Stable-Baselines3/PyTorch This repo contains an attempt to reproduce Gridnet PPO with invalid action masking algorithm to play μRTS usin

gym-idsgame An Abstract Cyber Security Simulation and Markov Game for OpenAI Gym gym-idsgame is a reinforcement learning environment for simulating at

Malware Env for OpenAI Gym Citing If you use this code in a publication please cite the following paper: Hyrum S. Anderson, Anant Kharkar, Bobby Fila

gym-flipit Gym environment for FLIPIT: The Game of "Stealthy Takeover" invented by Marten van Dijk, Ari Juels, Alina Oprea, and Ronald L. Rivest. Desi

Gym Threat Defense The Threat Defense environment is an OpenAI Gym implementation of the environment defined as the toy example in Optimal Defense Pol

Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning A codebase for training reinforcement learning policies for quad

Cryptocurrency trading bot with a graphical user interface with support for simulations, backtests, optimizations, and running live bots.

Manipulator Learning This repository contains a set of manipulation environments that are compatible with OpenAI Gym and simulated in pybullet. In par

liegroups Python implementation of SO2, SE2, SO3, and SE3 matrix Lie groups using numpy or PyTorch. [Documentation] Installation To install, cd into t

Getting Profit and Loss Make Easy From Binance I have been in Binance Automated Trading for some time and have generated a lot of transaction records,

FinRL-Meta: A Universe of Market Environments. FinRL-Meta is a universe of market environments for data-driven financial reinforcement learning. Users

Jiminy is a fast and portable cross-platform open-source simulator for poly-articulated systems. It was built with two ideas in mind: provide a fast y

Jesse Jesse is an advanced crypto trading framework which aims to simplify researching and defining trading strategies. Why Jesse? In short, Jesse is

Analyse the limit order book in seconds. Zoom to tick level or get yourself an overview of the trading day. Correlate the market activity with the Apple Keynote presentations.

Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env This repository implements a simple algorithm for imitation learning: DAGGER. In thi

Gym-TORCS Gym-TORCS is the reinforcement learning (RL) environment in TORCS domain with OpenAI-gym-like interface. TORCS is the open-rource realistic

GUI Pancakeswap 2 and Uniswap 3 trading client (and bot) (MOST ADVANCE TRADING BOT SUPPORT WINDOWS LINUX MAC) UPDATE: MUTI TRADE TOKEN ENABLE ,TRADE 1

Custom Python code for calculating the Probability of Profit (POP) for options trading strategies using Monte Carlo Simulations.

Self-adjusting, auto-compounding multi-pair DCA crypto trading bot using Python, AWS Lambda & 3Commas API The following code describes how we can leve

Authors: Utkarsh A. Mishra and Dr. Dimitar Stanev Advisors: Dr. Dimitar Stanev and Prof. Auke Ijspeert, Biorobotics Laboratory (BioRob), EPFL Video Pl

Senator Stock Trading Tester Program to compare stock performance of Senator's transactions vs when the sale is disclosed. Using to find if tracking S

Pandas TA - A Technical Analysis Library in Python 3 Pandas Technical Analysis (Pandas TA) is an easy to use library that leverages the Pandas package

Go-Bigger: Multi-Agent Decision Intelligence Environment GoBigger Doc (中文版) Ongoing 2021.11.13 We are holding a competition —— Go-Bigger: Multi-Agent

pokemon-deep-learning An openAI gym project for pokemon involving deep q learning. Made by myself, Sam Little, and Layton Webber. This code captures g

Convenient script for trading with python.

GUI Pancakeswap2 and Uniswap3 trading client (and bot) (MOST ADVANCE TRADING BOT SUPPORT WINDOWS LINUX MAC) (AUTO BUY TOKEN ON LUNCH AFTER ADD LIQUIDI

Algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex)

tradingView-API tradingview socket api for fetching real time prices. How to run git clone https://github.com/mohamadkhalaj/tradingView-API.git cd tra

Documentation Neostox doesnt have an API Support, so this is a little selenium code to automate strategies How to use Clone this repository and then m

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.

SuperSuit introduces a collection of small functions which can wrap reinforcement learning environments to do preprocessing ('microwrappers'). We supp

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

Booter bot Purpose The purpose of this bot is to check the price fluctuations in a given market in binance and create the idealistic signals based on

robo-gym-server-modules Robot Servers and Server Manager software for robo-gym. For info on how to use this package please visit the robo-gym website

PandaPy "I came across PandaPy last week and have already used it in my current project. It is a fascinating Python library with a lot of potential to

A gym-like classical control benchmark for evaluating the robustnesses of control and reinforcement learning algorithms.

Self-Supervised Policy Adaptation during Deployment PyTorch implementation of PAD and evaluation benchmarks from Self-Supervised Policy Adaptation dur

Riskfolio-Lib Quantitative Strategic Asset Allocation, Easy for Everyone. Description Riskfolio-Lib is a library for making quantitative strategic ass

Awesome Streamlit The fastest way to build Awesome Tools and Apps! Powered by Python! The purpose of this project is to share knowledge on how Awesome

This script should connect to the Upper Deck ePack API using your browser cookies and download a list of your current collection and save it as a CSV.

A pairs trade is a market neutral trading strategy enabling traders to profit from virtually any market conditions. This strategy is categorized as a statistical arbitrage and convergence trading strategy.

Trading Tesla with Machine Learning and Sentiment Analysis An interactive program to train a Random Forest Classifier to predict Tesla daily prices us

AIAlpha: Multilayer neural network architecture for stock return prediction This project is meant to be an advanced implementation of stacked neural n

IntroNeuralNetworks in Python: A Template Project IntroNeuralNetworks is a project that introduces neural networks and illustrates an example of how o

CleanRL (Clean Implementation of RL Algorithms) CleanRL is a Deep Reinforcement Learning library that provides high-quality single-file implementation

GoBigger Challenge 2021 en / 中文 Challenge Description 2021.11.13 We are holding a competition —— Go-Bigger: Multi-Agent Decision Intelligence Challeng

highway-env A collection of environments for autonomous driving and tactical decision-making tasks An episode of one of the environments available in

Trality Simulator Intro This package is a work in progress. It allows local development of Trality bots in an IDE such as VS Code. The package provide