---
title: Sealed Before the Open: A Verifiable Standard for Measuring AI Forecasts of Financial Markets
url: https://www.ml-quant.com/papers/ssrn/7653679/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-10-23
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 7653679
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7653679
featured: 2026-10-23
citations: unknown
topic: Econometrics & Forecasting
---


# Sealed Before the Open: A Verifiable Standard for Measuring AI Forecasts of Financial Markets

A transparency standard with cryptographic timestamping allows independent verification of AI forecasts before market opens, making backtests tamper-proof and comparable across models.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7653679
- Identifier: SSRN 7653679
- Released: 2026-10-22
- First featured: Quant Letter No. 136 (2026-10-23): https://www.ml-quant.com/issues/2026-10-23/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Econometrics & Forecasting
- Authors: Vadym Chernets

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