🔎 📈 🐍 💰 Backtest trading strategies in Python.
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Updated
Jul 6, 2024 - Python
🔎 📈 🐍 💰 Backtest trading strategies in Python.
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Algorithmic trading framework for cryptocurrencies.
Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.
OpenAI Gym Environment API based Bitcoin trading environment
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.
Experimental Market Simulations & Trader Strategy Evaluation
Fcore Is an AI Framework for Financial Markets Analysis (Active Development).
Django project for online trading simulator
Trading strategy backtesting framework with focus on position adjustment in a session scope.
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.
Back Testing strategies fast in Python
Trading simulator
You can define your own trade conditions and by running CoinBasePro Trading Simulator to verify the conditions.
Ladon is a framework for backtesting and running algorithmic trading bots.
Trading Simulator for observing the mechanics of markets
QUANTiCA docker image
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