Quantopian Alternatives & Competitors

QuantConnect provides a free algorithm backtesting tool and financial data so engineers can design algorithmic trading strategies. We are democratizing algorithm trading technology to empower investors.

Key QuantConnect features:

Comprehensive Data Access Cloud-Based Development Wide Language Support Lean Algorithm Framework

Backtrader is a complete and advanced python framework that is used for backtesting and trading.

Key Backtrader features:

Versatility Community and Documentation Python Integration Open Source

Open Source

End-to-end encrypted cloud storage built for teams. Keep all your business data private, fully secure, and under your complete control. No backdoors, no tracking, no compromises. Swiss privacy laws and zero-knowledge encryption protect what matters.

Key Proton Drive for Business features:

Privacy and Security User-Friendly Interface Open Source Cross-Platform Access

Try for free Open Source paid Free Trial $7.99 / Monthly (Drive Professional)

Crowd based algorithmic trading development and backtesing for stock market trading.

Key CloudQuant features:

Data Variety Backtesting Features Collaborative Environment Python-Based

QuantRocket is an all-in-one end-to-end data trading platform and is securing your connection to other trading applications that will be the key to query data and submit orders.

Key QuantRocket features:

Comprehensive Data Sources Multi-Asset Support Easy Deployment Backtesting Capabilities

A tool that helps you invest smarter.

Key Gekko Plus features:

Ease of Use Automation Backtesting Customizability

Intrinio is a trading platform, providing professionals with the best in class financial market data API and other tools.

Key Intrinio features:

Comprehensive Data Coverage Developer-Friendly API Real-Time Data Flexible Pricing

An automated trading platform that you let you create trading strategies intuitively.

Key Quantreex features:

User-Friendly Interface Strategy Marketplace Cloud-Based Platform Automated Trading

Pyfolio is a world-class python library that is all for the performance and risk analysis for the financial portfolios, working in collaboration with Zipline in order to provide backtesting support.

Key Pyfolio features:

Comprehensive Analysis Integration with Zipline Visualization Tools Open Source

Open Source

Alphalens is a comprehensive python library that is designed for the performance analysis of predictive stock factors.

Key Alphalens features:

Factor Performance Analysis Data Visualization Integration with pandas Comprehensive Documentation

Open Source

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Key Pandas features:

Data Wrangling Flexible Data Structures Integration with Other Libraries Performance with Data Size

Open Source

Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.

Key Seaborn features:

High-Level Interface Integration with Pandas Built-in Themes Statistical Plotting

Open Source

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

Key Matplotlib features:

Versatility Customization Integrations Community and Documentation

Open Source

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Key Scikit-learn features:

Ease of Use Extensive Documentation and Community Support Integration with Other Libraries Variety of Algorithms

Open Source