Python Backtesting library for trading strategies
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Updated
Aug 19, 2024 - Python
Python Backtesting library for trading strategies
Open source software that helps you create and deploy high-frequency crypto trading bots
stock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
🔎 📈 🐍 💰 Backtest trading strategies in Python.
"Vibe-Trading: Your Personal Trading Agent"
The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-trading
modular quant framework.
Algorithmic Trading in Python with Machine Learning
Python Crypto Bot (PyCryptoBot)
Python AutoML for Trading Systems and Sports Betting
Backtestable AI trading agents and algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, macro data, and real brokers.
A nimble options research and backtesting library for Python
Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
HyperView is a terminal-first TradingView strategy lab for downloading market data, backtesting Python strategies with Pine-like behavior, and optimizing SL/TP parameters.
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.
An extension for Nautilus Trader
Trading bot with support for realtime trading, backtesting, custom strategies and much more.
A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.
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