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

ACTUS Foundation Releases Open-Source Standard for Financial Markets Contracts

Subscribe to our newsletter

The ACTUS Financial Research Foundation is releasing open-source Algorithmic Contract Types Unified Standards (ACTUS) version 1.0, which will be available on GitHub.

ACTUS creates a standard for the mathematical representation of the payment obligations embodied in financial contracts, and seeks to provide the financial industry with a unified, machine-readable depiction of financial contracts for transaction-processing, analysis, and smart-contracts.

The combination of the ACTUS Data Dictionary, consisting of the standard definitions of the collection of data elements and terms used by financial contracts, and the defined set of Contract Type algorithms that generate predicted cash flows using the current state of these contract terms, allows ACTUS to provide a foundational platform for an effective regtech technology.

According to Allan Mendelowitz, president of ACTUS, “Finance is best represented in numbers, equations, and algorithms. Banks have to look at how much they pay and receive from each party. But is there a standard way to represent that contract? When the analysts try to look into it, it can get fairly complicated, because there’s no standard balance sheet. Financial analysis starts at the granular level.”

Jefferson Braswell, chair of the board of governors at the ACTUS Financial Research Foundation, adds, “Using many of the rule-based and functional techniques that have previously been applied only to static financial statements and accounting snapshots, the complete set of scenario-dependent, cashflow forecasts of the actual contracts on a financial institution’s balance sheet produced by ACTUS can be used to source and derive a majority of regulatory reports—and which now have a robust, granular, and forward-looking data to draw upon.”

He goes on: “Applying ACTUS in this fashion greatly reduces the redundant efforts and costs that are currently involved when complying with the large number of different regulatory reporting requirements today, and it greatly increases the efficiency and adaptability of responding to future regulatory requirements.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Managing Non-Financial Misconduct Under SMCR

Non-financial misconduct – encompassing behaviours such as bullying, sexual harassment, and discrimination is a key focus of the Senior Managers and Certification Regime (SMCR). The Financial Conduct Authority (FCA) has underscored that such misconduct is not only unethical but also poses significant risks to a firm’s culture and operational integrity. Recognizing the profound impact on...

BLOG

DiffusionData Targets Agentic AI in Finance with New MCP Server

Data technology firm DiffusionData has released an open-source server designed to connect Large Language Models (LLMs) with real-time data streams, aiming to facilitate the development of Agentic AI in financial services. The new Diffusion MCP Server uses the Model Context Protocol (MCP), an open standard for AI models to interact with external tools and data...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...