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25 lines (25 loc) · 961 Bytes
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cff-version: 1.2.0
title: "quantifact: an investment-research agent that has to prove its numbers"
message: "If you use this software or its ideas, please cite it."
type: software
authors:
- family-names: Leon
website: "https://github.com/leoncuhk"
repository-code: "https://github.com/leoncuhk/quantifact"
license: Apache-2.0
version: 0.3.0a1
date-released: 2026-08-13
keywords:
- llm agents
- investment research
- point-in-time
- data contracts
- reproducibility
abstract: >-
quantifact treats agentic analysis as a compiler problem: a question is
clarified into an intermediate representation with schemas, units, row grain
and a knowledge date; each task compiles in parallel into one pandas function;
static analysis derives the dependency graph; layered contracts run as
ordinary Python; and a caching harness executes the code bound to the
knowledge date, making look-ahead structurally impossible rather than
discouraged.