Finding 4362Emerging EvidenceValidation V0
Results: average accuracy in price 58.90% and volatility 58.33%, beating Qwen-7B and GPT-4o; contributions: diverse FVLDB plus UARPO blending IGRA, CGRA, UARA; limits: modest scale, missing metrics, calibration, binary tasks.
75%Confidence
1Evidence objects
v1Version
DraftStatus
Evidence trail
Supporting75% linkage confidence
Results: average accuracy in price 58.90% and volatility 58.33%, beating Qwen-7B and GPT-4o; contributions: diverse FVLDB plus UARPO blending IGRA, CGRA, UARA; limits: modest scale, missing metrics, calibration, binary tasks.
key_findings bullet 3 · key_findings
Inspect source: FinZero: Launching Multi-modal Financial Time Series Forecast with Large Reasoning Model →This Finding was extracted from the configured corpus. It is versioned, traceable, and may evolve through editorial review or new corpus evidence.