ELI LILLY & Co

The Fin45 experiment begins June 1, 2026. LLY is actively monitored across all 11 signal categories. Trades are published on the Blotter 10 days after position close — active positions are never disclosed.

Fin45 monitors LLY insider transactions via SEC Form 4 filings in real-time. Current insider activity level: elevated. 5 Form 4 filings in recent months — above-average insider transaction activity. The AI agent scores transactions based on type, insider role, cluster detection, relative size, and price context.

Fin45 processes all LLY SEC filings including 5 Form 4 insider transactions, 2 8-K material event disclosures, and 1 periodic reports (10-K/10-Q) from recent submissions. Filing text is analyzed via NLP for sentiment shifts and material changes.

Conviction scores for LLY are calculated in real-time based on multi-signal confluence across 11 data categories. Only scores >= 0.75 trigger trade consideration. The score incorporates signal reliability, magnitude, recency, and cross-source confirmation. Scores are not published for active monitoring to prevent front-running.

Yes. Fin45 monitors all House and Senate financial disclosures for LLY under the STOCK Act. Congressional trades are scored by committee relevance (members with Healthcare oversight weighted higher), historical accuracy, and timing relative to pending legislation.

Fin45 tracks LLY options via OPRA data for sweep orders, unusual volume (5x+ average), large premium bets ($100K+), open interest changes, and put/call ratio shifts. Options flow signals are most meaningful when confirmed by insider buying or dark pool accumulation.

Fin45 monitors LLY dark pool prints via FINRA ADF data. Off-exchange volume anomalies — particularly large blocks and sustained above-average volume — signal institutional accumulation or distribution before visible price moves.

LLY is one of 50 Healthcare sector companies in Fin45's S&P 500 universe. Sector analysis monitors rotation signals, relative strength, correlation risk (max 40% sector exposure), and cross-ticker signal patterns among Healthcare peers.