Finding 4360Emerging EvidenceValidation V0
FinZero turns time series into images and trains a 3B-parameter vision-language model with uncertainty-aware RL (UARPO) to reason, predict rises/falls, and assess confidence using Qwen2.5-VL-3B; inputs avoid normalization, window constraints.
75%Confidence
1Evidence objects
v1Version
DraftStatus
Evidence trail
Supporting75% linkage confidence
FinZero turns time series into images and trains a 3B-parameter vision-language model with uncertainty-aware RL (UARPO) to reason, predict rises/falls, and assess confidence using Qwen2.5-VL-3B; inputs avoid normalization, window constraints.
key_findings bullet 1 · 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.