Tycheon: Calibrated Uncertainty, Risk Translation and Leakage-Guarded Evaluation for Financial Time-Series Foundation Models

On a small synthetic benchmark (3 series, 108 pooled origins), no model, including zero-shot Kronos-mini, was statistically distinguishable from the random walk, and Kronos-mini's nominal 90% interval contained 57.4% of outcomes. A single manual check on real daily equity data showed two-sided conformal calibration, fitted on 60 recent origins, reducing a 5-day 95% VaR from 5.38% to 3.93%. This led to the rule that calibration may only widen the tails used for risk figures. Multi-asset portfolio risk is always labelled uncalibrated, because dependence between assets is assumed. Neither result is evidence of forecasting skill in real markets. Software: https://doi.org/10.5281/zenodo.24041298Code: https://github.com/anilatambharii/tycheonDemo (synthetic data): https://huggingface.co/spaces/AmbhariiLabs/tycheon-demo For research and risk analytics. Not investment advice.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-07
DOI
https://doi.org/10.5281/zenodo.24045159
Primary Topic
Stock Market Forecasting Methods
Type
preprint
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preprint

Tycheon: Calibrated Uncertainty, Risk Translation and Leakage-Guarded Evaluation for Financial Time-Series Foundation Models

Anil Prasad
2 links
Zenodo (CERN European Organization for Nuclear Research)
Stock Market Forecasting Methods
preprint

Tycheon: Calibrated Uncertainty, Risk Translation and Leakage-Guarded Evaluation for Financial Time-Series Foundation Models

Anil Prasad
preprint en

Abstract

On a small synthetic benchmark (3 series, 108 pooled origins), no model, including zero-shot Kronos-mini, was statistically distinguishable from the random walk, and Kronos-mini's nominal 90% interval contained 57.4% of outcomes. A single manual check on real daily equity data showed two-sided conformal calibration, fitted on 60 recent origins, reducing a 5-day 95% VaR from 5.38% to 3.93%. This led to the rule that calibration may only widen the tails used for risk figures. Multi-asset portfolio risk is always labelled uncalibrated, because dependence between assets is assumed. Neither result is evidence of forecasting skill in real markets. Software: https://doi.org/10.5281/zenodo.24041298Code: https://github.com/anilatambharii/tycheonDemo (synthetic data): https://huggingface.co/spaces/AmbhariiLabs/tycheon-demo For research and risk analytics. Not investment advice.

Zenodo (CERN European Organization for Nuclear Research)
Stock Market Forecasting Methods
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