Python Backtesting library for trading strategies
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Updated
Dec 11, 2022 - 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).
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
modular quant framework.
Cryptocurrency trading bot using technical analysis based strategy with an advanced web interface
Python Crypto Bot (PyCryptoBot)
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
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 +…
Backtesting for sleepless cryptocurrency markets
A nimble options backtesting library for Python
Portfolio Management Framework for risk and performance analysis 投资组合管理
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI
]
Stock Indicators for .NET is a C# library package that produces financial market technical indicators. Send in historical price quotes and get back desired indicators such as moving averages, Relative Strength Index, Stochastic Oscillator, Parabolic SAR, etc. Nothing more. It can be used in any market analysis software using standard OHLCV price…
Trading bot with support for realtime trading, backtesting, custom strategies and much more.
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
Alpaca Trading API integrated with backtrader
GPU-accelerated Factors analysis library and Backtester
Used by trading strategies to communicate with Roq's market gateways or Roq's simulator. [C++20] [Interface]
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