There are 25 repositories under trading-simulator topic.
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Strategies to Gekko trading bot with backtests results and some useful tools.
A high-frequency trading and market-making backtesting tool in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.
Algorithmic trading framework for cryptocurrencies.
A Comprehensive Collection of Everything Related to Tradingview Pine Script.
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
OpenAI Gym Environment API based Bitcoin trading environment
A high-performance WebSocket integration library for streaming public market data. Used as a key dependency of the `barter-rs` project.
convenient library for trading with python.
This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.
Trading Simulator and Charting Application
Experimental Market Simulations & Trader Strategy Evaluation
TradingMachine is a mini-trading system simulation, whose components (market data and order feeds, FIX acceptor and initiator, back-end for filled orders) interact by queues and topics.
Neuro evolution agent to buy and sell stocks atumatically
Coinbrowser is a pair selection tool for Freqtrade and a simple crypto trading-simulator
Auto trading panel for Binance
Computational simulation framework for analyzing trading behavior in climate prediction markets
Simple Forex trading simulator for manually testing strategies
Algorithmic trading utilizing Heikin-Ashi candlestick plotting
A GUI based programmable stock/crypto trading interface to practice trading/swing-trading with virtual money.
Zurich Trading Simulator (ZTS) - a web-based behavior experiment in the form of a trading game, designed by the Chair of Cognitive Science - ETH Zurich. It is developed using oTree an open-source platform for behavioral research.
Test trading matching operations engine. BUY, SELL, MODIFY, CANCEL operation implantations. Code developed using C#
Service App to run scrips for algo trading and manage market data: https://www.youtube.com/playlist?list=PLbiaIO7sG7FYlrgOV1XLHrnaufJ7fK6Hx
A simple stock-trading-simulator. https://pvn-leo.github.io/stock-simulator