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Awesome Actus Library Overview

What is Awesome Actus Library?​

Awesome Actus Library is a Python-based modeling layer that supports financial contract modeling using the ACTUS Standard. It enables developers, analysts, and researchers to work with ACTUS-compliant financial contracts in a clean, structured, and user-friendly environment.

This library is not a reimplementation of ACTUS. Instead, it serves as a high-level interface to the ACTUS simulation backend (typically a Java-based service), helping users define, validate, and analyze financial contracts efficiently.

🧠 If you're unfamiliar with the ACTUS Standard itself, check out the ACTUS Standard Overview and Core Concepts first.

Purpose and Role​

Awesome Actus Library is designed to:

  • Provide a Python-native modeling interface for ACTUS contracts
  • Connect to the ACTUS simulation backend to run standardized cash flow simulations
  • Automatically validate inputs against ACTUS specfic rules (e.g applicability, time consistency, data types)
  • Offer helpful and clear feedback when things go wrong
  • Deliver basic financial analytics such as income, value, and liquidity

It acts as a smart layer between the user and the ACTUS engine, enabling productive, error-resilient workflows without compromising the formal rigor of the standard.

Why This Library Matters​

While the ACTUS simulation service is powerful, it is:

  • Backend-focused: Input must follow strict, machine-readable structures
  • Not user-facing: Minimal guidance when inputs are invalid or incomplete

Awesome Actus Library fills this gap by providing:

✅ Automated validation of:

  • Applicability rules (business rules for contract terms)
  • Correct data types and enum values
  • Time consistency (e.g., payment dates after initiation)
  • Risk factor linkage and completeness

✅ Meaningful feedback when validations fail
✅ Convenient modeling abstractions for Python users
✅ Open source accessibility for transparency and collaboration

Built-In Financial Analysis​

In addition to modeling and validating ACTUS contracts, the library offers utilities to analyze the output of simulations. From the generated event stream, it can calculate:

  • Income: Accrued and realized earnings
  • Value: Discounted present value of future cash flows
  • Liquidity: Projected net cash position over time

These features make it possible to go beyond raw cash flows and directly support scenario analysis, reporting, and risk assessment workflows.

Key Features​

  • Python-native contract modeling
  • ACTUS-compliant term validation and rule checking
  • Integration with external ACTUS simulation services
  • Event-based income, value, and liquidity analysis
  • Portfolio-level modeling and risk factor integration
  • Clear and actionable error reporting
  • Open and extensible codebase

Use Cases​

  • Prototyping structured finance or lending products
  • Academic or regulatory research using ACTUS
  • Teaching ACTUS modeling methodology
  • Validating contract datasets before simulation
  • Performing open, auditable, and explainable financial analyses

🚀 To begin using the library, check out the Getting Started guide.