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Backtrader is a Python backtesting framework and algorithmic trading platform. It provides a toolkit for developing automated trading rules and simulating investment strategies using historical financial time-series data. The system functions as a quantitative analysis tool, combining a simulation engine for testing trading rules with a financial data visualizer that generates price action charts. It allows for the calculation of technical indicators and the evaluation of portfolio performance through risk-adjusted returns. The platform covers live trading integration via brokerage APIs and
An Algorithmic Trading Library for Crypto-Assets in Python
AI-Powered Quantitative Trading Engine — Evolve strategies with genetic algorithms
Python live trade execution library with zipline interface.
The main features of alpacahq/pylivetrader are: Algorithmic Trading Engines, Trading and Backtesting.
Projects with overlapping indexed features include: quantconnect/lean — Lean is an algorithmic trading engine and quantitative finance platform designed for the development, backtesting, and… neuzhou/finclaw — AI-Powered Quantitative Trading Engine — Evolve strategies with genetic algorithms. backtrader/backtrader — Backtrader is a Python backtesting framework and algorithmic trading platform. It provides a toolkit for developing… enigmampc/catalyst — An Algorithmic Trading Library for Crypto-Assets in Python. alexanderwanyoike/the0 — Open Source Algorithmic Trading Engine. quantopian/zipline — Zipline is a Python-based algorithmic trading library designed for the development and backtesting of investment…