analyst-common-stock

You can prevent hallucinations in stock analysis by enforcing a rule-set that mandates direct web-search tool invocation, exact original-text quoting, and source URL citation for all financial figures used by your agents.

Cross-source verification for stock valuation data is the process of confirming values against at least two independent web sources with a ±5% tolerance rule to ensure data accuracy before decision-making.

You can standardize stock screener rules by applying a deterministic framework that requires explicit sourcing and cross-verification for all stock and ETF data gathered from web sources.

No, this stock-analysis framework operates without specific dependencies, providing a stable guidance layer that enforces evidence gathering across screener, valuation, and bear-case agents.

AI stock-analysis agents generate inaccurate financial figures due to a lack of explicit sourcing, which this framework solves by forcing agents to quote exact text and include source URLs during evaluation.

Yes, you can use this rule-set for bear-case-critic agents; it directly applies to them by enforcing deterministic guidelines that minimize hallucinations through cross-verification and direct web-source citation.