FinRL
The Open-Source Framework for Reinforcement Learning in Quantitative Finance.
Updated 12d ago
Has API
PricingFree
Free
Algorithmic Trading
Portfolio Optimization
Backtesting
QuantRocket
4.6
Free QuantRocket receives positive feedback for its flexibility, comprehensive features, and powerful backtesting capabilities.
Software for data-driven traders to research and trade quantitative strategies in global markets using Python.
Free pricingAPI availableUpdated 2026-03-17
Best fits
BacktestingData Analysis
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About QuantRocket
QuantRocket is a comprehensive platform designed for quantitative traders and data scientists. It provides the infrastructure to research, backtest, and deploy quantitative trading strategies using Python. Key components include support for multiple backtesters like Zipline, Pipeline, Alphalens, and Moonshot, each catering to different strategy styles. The platform offers access to global market data, eliminating the need for extensive data wrangling. It supports machine learning workflows with walk-forward optimization and out-of-core learning capabilities. QuantRocket can be deployed on various environments, including local machines, cloud platforms, and VPNs, offering flexibility and control over compute resources. Integration with external trading applications allows for data querying and order submission, making it a versatile tool for both standalone and connected trading setups.
Core Capabilities
QuantRocket is a comprehensive platform designed for quantitative traders and data scientists.
Main Tasks
Backtest trading strategies
Explore all tools that specialize in backtest trading strategies. This domain focus ensures QuantRocket delivers optimized results for this specific requirement.
