Investment Result Validator

Investment validation audits stock analysis outputs by scoring data quality, methodology soundness, signal consistency, risk coverage, and reasoning transparency across five dimensions to determine if the investment thesis is dependable.

Paste the output of a previous stock valuation or fundamental analysis into the validator to generate a 0–100 confidence score report with explicit flags and a validated investment signal block for your final decision.

Yes, confidence scoring evaluates signal alignment and coherence across different valuation and signal types, producing structured 0–20 scores per dimension to highlight where combined narratives are reliable or contain data gaps.

Investment validation works with any prior stock analysis module output, including DCF valuation, technical analysis, and fundamental research, by auditing the underlying assumptions and data quality before you act on the signal.

A confidence score cannot predict market movements; it only audits the internal consistency, risk coverage, and reasoning transparency of an existing analysis, flagging serious concerns and data gaps that may make the original output unreliable.

Red flags are produced when the validator detects serious concerns during the audit, such as misaligned investment signals, incomplete risk coverage, or flawed methodology assumptions that undermine the original analysis output.