About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Algorithm Framework Allows QuantConnect Community to Share Code Modules

Subscribe to our newsletter

QuantConnect, an open source, cloud-based algorithmic trading platform, is inviting its community of algo developers to share code modules through Algorithm Framework, a tool that provides a defined structure for developing algos and allows code modules to be reused.

The framework tool breaks down algos into five core features: universe selection, alpha creation, portfolio construction, execution, and risk management. The well-defined structure permits modules to be used interchangeably, allowing quants to quickly plug in to new models from the community. Quants can focus their time and effort on coding parts of a strategy where they excel, while borrowing modules from other community members to fill in the areas where they are not as proficient. Giving users the ability to share modules from existing strategies to use in newer strategies also eliminates the need for recoding, reducing the possibility of syntax errors and saving time.

Jared Broad, CEO at QuantConnect, says: “Algorithm Framework elevates the efficiency of algo trading strategies by providing a well-defined structure that presents a number of advantages over conventional design. The tool allows our quants to focus on their strengths and tap into the shared expertise of our open source community. As a result, every module of an algo can be top quality.”

Algorithm Framework is available at no cost to the QuantConnect community, which early this year reached a total of over 55,000 quants, computer scientists, engineers and professional traders who have designed and deployed more than 1.2 million strategies on the platform.

Late last year, QuantConnect introduced its Alpha Streams project, which enables the QuantConnect community to opt into licensing alpha-generating insights to quantitative funds, and has recently welcomed Tibra, a quantitative research and investment group, as its first client sourcing alpha.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

The New ROI: How Cloud Data is Reshaping Performance and Strategy in Financial Markets

The conversation around cloud adoption in financial markets has fundamentally changed. The era of tentative migration and justifying projects based on CAPEX vs. OPEX is over. As a new report from LSEG, “Cloud Strategies in Financial Services,” confirms, the cloud is now a strategic default. But this maturity brings a new, more complex set of...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

ESG Data Handbook 2022

The ESG landscape is changing faster than anyone could have imagined even five years ago. With tens of trillions of dollars expected to have been committed to sustainable assets by the end of the decade, it’s never been more important for financial institutions of all sizes to stay abreast of changes in the ESG data...