Policy tone is a numerical assessment of whether regulatory or central-bank developments are supportive or restrictive. In financial news analysis, it turns retrieved evidence into a qualitative signal rather than a prediction. section 11.4
An LLM Analyst extracts the signal from specific news snippets and returns a score with supporting evidence and reasoning. Store it as a structured feature, not as a standalone forecast. section 11.4 section 11.5
Uranium market assessment
A sample assessment scores policy tone 6/10, or moderately supportive, citing the US Strategic Uranium Reserve push and utility long-term contracts. section 11.4.3
Figure 11.4 A sample JSON output from the LLM Analyst, demonstrating structured signal extraction. The model has synthesized multiple news snippets into a coherent, machine-readable assessment.
The sample JSON shows policy tone alongside other scores, key events, and reasoning. section 11.4.3
