Social Card Concepts
A reusable social card system designed to make Jodie feel like an intelligent financial analytics product. These templates now render against the live theme contract instead of static placeholder copy.
01 Core UX Principles
Market Data
The factual foundation. Theme strength, participation, and constituent evidence.
Interpreted Signal
The signature Jodie layer. What the system thinks is actually happening.
Evidence
Scannable proof points that explain the thesis and keep the asset honest.
Next Action
Movement from observation to monitoring through watchlists and alerts.
02 Single Card Templates
Live sample generated from the current top dossier.
1. Market Snapshot
Priority 1NVIDIA (NVDA)
AI Infrastructure · 09:31
Jodie Signal
Leader moved first, confirmers arrived quickly, and breadth is broad enough to treat this as a real live theme.
Watch next
Source: live themes + signals + ticker detail
09:31
Informational only. Not investment advice.
2. Why It Moved
Priority 1Why NVDA moved inside AI Infrastructure
Main driver
This is where the market is showing real sponsorship rather than isolated single-name noise.
Evidence
- 1Leader moved first, confirmers arrived quickly, and breadth is broad enough to treat this as a real live theme.
- 2This is where the market is showing real sponsorship rather than isolated single-name noise.
- 3Leader loses its breakout while confirmers fail to hold.
Source: Jodie analysis
Informational only. Not investment advice.
3. AI Analyst Verdict
InstitutionalNVDA — AI Infrastructure
Verdict
Leader moved first, confirmers arrived quickly, and breadth is broad enough to treat this as a real live theme.
Confidence
91%
Source: live themes + signals + ticker detail
Informational only. Not investment advice.
03 Carousel Template
Narrative-led format for multi-slide social storytelling.
NVDA setup is live
AI Infrastructure with 68% participation and 91% model agreement.
Narrative Flow
Note for Design
Consistent header and footer placement matters. Each slide should carry one clear analytical job and one clear takeaway.
04 Content Model
{
"ticker": "NVDA",
"event_label": "AI Infrastructure",
"score": "91",
"change_percent": "68% participation",
"jodie_signal": "Leader moved first, confirmers arrived quickly, and breadth is broad enough to treat this as a real live theme.",
"main_driver": "This is where the market is showing real sponsorship rather than isolated single-name noise.",
"evidence": [
"Leader moved first, confirmers arrived quickly, and breadth is broad enough to treat this as a real live theme.",
"This is where the market is showing real sponsorship rather than isolated single-name noise.",
"Leader loses its breakout while confirmers fail to hold."
],
"watch_next": [
"Still the cleanest next confirmer to watch.",
"Watch ARM and INTC for confirmation quality and speed."
],
"confidence_score": "91%",
"timestamp": "09:31"
}Next Steps
1. Finalize the top templates for export.
2. Render static assets from the live chart data.
3. Connect generation to saved alert and watchlist workflows.