Python Backtesting library for trading strategies
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Updated
Apr 23, 2024 - Python
Python Backtesting library for trading strategies
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
🔎 📈 🐍 💰 Backtest trading strategies in Python.
modular quant framework.
Python Crypto Bot (PyCryptoBot)
Open source crypto trading bot
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
📈 Get real-time stocks from TradingView
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.
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +…
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
stock股票.获取股票数据,计算股票指标,识别股票形态,内置选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
Stock Indicators for .NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading insights. You'll need this essential data in the investment tools that you're building for algorithmic trading, technical analysis, machine learning, or visual charting.
Algorithmic Trading in Python with Machine Learning
Python AutoML for Trading Systems and Sports Betting
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]
A Technical Analysis Bot that trades leveraged USDT futures markets on Binance.
Backtesting for sleepless cryptocurrency markets
A nimble options backtesting library for Python
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