CloudQuant 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

Your algorithmic investing platform.

Key Quantopian features:

Community Collaboration Access to Data Comprehensive Development Environment Educational Resources

bank of the Free! Mobile banking that makes life easy.

Key bunq features:

100% online – no branch visits, no paperwork Manage expenses effortlessly Earn Cashback Free Business Account for Freelancers

Try for free freemium

A public API for quantitative finance made with Quantlib.

Key quantra features:

Comprehensive Course Material Hands-on Experience Expert Instructors Flexible Learning

Open Source

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

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

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

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

A free, stock & cryptocurrency algorithmic trading application for iOS.

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

Algoriz uses artificial intelligence to build trading algorithms.

Key Algoriz features:

User-Friendly Interface Backtesting Features Cloud-Based Solution Integration with Brokerages