QuantRocket

QuantRocket

QuantRocket is a platform that enables traders to execute data-driven research and quantitative trading strategies using Python across global markets.

Location: United States
Software Type: Web App

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Description

QuantRocket is a comprehensive software platform designed for traders who wish to leverage data-driven research and implement quantitative trading strategies utilizing Python. The platform supports multiple global markets and provides a rich set of tools for both backtesting and live trading.

Among its key features are several specialized backtesters tailored to different trading styles, including:

  • Zipline: A widely adopted backtesting library that allows users to test their trading strategies against historical data.
  • Pipeline: A tool for screening and analyzing securities to find potential trading opportunities.
  • Alphalens: Designed for analyzing alpha factors, helping users to evaluate the predictive power of their signals.
  • Moonshot: Focused on data science-oriented backtesting, enabling users to test complex strategies efficiently.
Additionally, the platform features MoonshotML, which supports machine learning strategies with advanced optimization techniques, allowing traders to implement sophisticated algorithms in their trading. The emphasis on speed is notable, with backtests running significantly faster than those on competing platforms, enhancing the user's backtesting experience.

QuantRocket also includes extensive documentation and API support, making it easier for users to integrate and automate their trading ideas. This software is suitable for a variety of traders looking to enhance their research capabilities and trading strategies through data analysis.

Features

Multiple Backtesting Engines

Choose from various backtesting engines like Zipline, Pipeline, Alphalens, and Moonshot, each tailored for different trading strategies and styles.

Machine Learning Integration

Utilize MoonshotML for implementing machine learning strategies and optimize trading algorithms effectively.

Speed Optimization

Experience significantly faster backtests compared to other platforms, enhancing the efficiency of strategy testing.

Comprehensive Documentation

Access extensive documentation and API references to facilitate smooth integration and automation of trading strategies.

Tags

tradingfinancequantitative analysisPythonbacktesting

Documentation & Support

  • Installation
  • Documentation
  • Support
  • Updates
  • Online Support