AI-powered analysis of corporate investor presentations. Deck quality scoring, tone shifts, and trading signal extraction across 1,100+ documents.
Corporate investor relations (IR) teams produce earnings decks, investor day presentations, and shareholder updates every quarter. These documents are crafted to tell a story — and the changes between quarters reveal what the story is hiding.
Fin45's NLP system processes every IR document for S&P 500 companies and generates signals from:
Each IR deck receives a quality score (0-1) based on:
The absolute quality score matters less than the delta — how quality changes between quarters. A declining deck quality delta signals:
NLP measures the emotional tone of IR materials on a -1 to +1 scale. Tone shifts between quarters are especially revealing:
IR deck signals are Tier 3 in the confluence engine (1x weight). They're most valuable when they confirm or contradict other signal types:
| Signal Combination | Interpretation | Historical Reliability |
|---|---|---|
| Declining deck quality + insider selling | Management losing confidence, insiders exiting | Strong bearish signal |
| Declining deck quality + insider buying | Presentation may be under-promising; insiders see value | Potential contrarian buy |
| Improving deck quality + dark pool accumulation | Company strengthening, institutions positioning | Bullish confluence |
| Tone-content divergence + high deception score | Management masking problems in both deck and calls | Strong red flag |
Most investors read IR decks at face value. Bloomberg terminals don't score deck quality. Sell-side analysts focus on the numbers in the deck, not the deck itself. By analyzing how the story is told — and how the storytelling changes — Fin45 extracts signals that traditional financial analysis misses entirely.
The academic foundation: research on corporate communication shows that the manner of disclosure predicts future performance. Companies that become less specific, drop previously reported metrics, or shift from active to passive voice in their IR materials are statistically more likely to disappoint in subsequent quarters.
IR (Investor Relations) deck analysis uses AI to score the quality, tone, and specificity of corporate investor presentations. By tracking how these scores change between quarters, the system detects when companies are becoming less transparent — often a leading indicator of disappointing results.
Over 1,100 IR signals have been generated from S&P 500 investor presentations, earnings decks, and shareholder materials. Each company's individual page shows their most recent IR signal data.
IR presentations are sourced from SEC EDGAR filings (8-K attachments), company investor relations websites, and earnings webcast materials. All sources are publicly available.
Yes. Visit any S&P 500 company page on Fin45 — if IR signal data exists for that ticker, it appears in the intelligence section with deck quality scores, tone shifts, and key takeaways.