Python Backtesting library for trading strategies
-
Updated
Apr 19, 2023 - 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 +…
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
Algorithmic Trading in Python with Machine Learning
Portfolio Management Framework for risk and performance analysis 投资组合管理
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.
A nimble options backtesting library for Python
Backtesting for sleepless cryptocurrency markets
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI
]
Trading bot with support for realtime trading, backtesting, custom strategies and much more.
Alpaca Trading API integrated with backtrader
GPU-accelerated Factors analysis library and Backtester
Add a description, image, and links to the backtesting topic page so that developers can more easily learn about it.
To associate your repository with the backtesting topic, visit your repo's landing page and select "manage topics."