Signal LedgerPUBLIC RESEARCH
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PORTFOLIO EDITION

Independent investment research, built to be audited.

Signal Ledger is an independent research and analytics project by Sihan Yu. It turns primary-source filings, market data and pre-event assumptions into research records that keep the original call, the observed result and the error visible together.

View the AMD case studyDownload the research note ↓
Research ownershipQuestion framing, model rules, evidence review and forecast post-mortems
Product & implementationSource pipeline, research interface, automated monitoring and audit trail
How AI is usedImplementation, document extraction, translation and first-pass news triage
Human controlDefinitions, exclusions and investment conclusions remain explicit and reviewable
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