OpenClaw Skill
Real-time odds, whale trades, risk tiers, and precursor analysis — all from a single natural-language interface.
OpenClaw is the open skill platform for AI assistants. Install MacGuffin to give your AI real-time Oscar market intelligence.
19 categories · Live odds · Whale tracking · Precursor analysis
Supporting Actor Daily — Mar 5
Current Odds
├── Sean Penn — 72c (—)
├── Stellan Skarsgard — 20c (—)
├── Delroy Lindo — 7c (—)
├── Benicio del Toro — 3c (—)
└── Jacob Elordi — 2c (—)
Whale Activity (24h) — 3 trades, $4,060 total
├── $1,230 YES Penn @72c (14:13 UTC)
├── $1,459 YES Penn @72c (02:55 UTC)
└── $1,370 NO Skarsgard @81c (00:02 UTC)
→ Sentiment: Bullish on Penn, bearish on Skarsgard
Precursors — Penn
├── ✅ SAG (93% predictive)
└── ✅ BAFTA (41% predictive)
Assessment
Strong favorite | 72% win / 28% loss
Gap to Skarsgard: 52pts
Category volatility: HIGH — Supporting Actor historically unpredictable
No price movement in 24h. Whales backing Penn with ~$2.7K YES volume. Two days to ceremony.
Capabilities
Live prediction market prices from Kalshi across all 19 Oscar categories, updated via SSE streaming.
Automated alerts for trades over $1,000. See where the smart money is moving in real time.
HIGH / MED / LOW risk tiers for every category based on price volatility and market depth.
Guild wins, critic awards, and historical patterns that predict Oscar outcomes.
Auto-pick strategies — favorites, guild alignment, momentum plays — with live P&L tracking.
Ask questions in plain English. No APIs to learn, no dashboards to navigate.
Use Cases
Every query can be scheduled as a proactive briefing. Set it once, your AI handles the rest.
User: “Every morning, check Oscar markets and flag anything that moved overnight.”
Scans all 19 categories for price swings, whale trades, and frontrunner changes. Delivered before you finish your coffee.
User: “Alert me when there's a whale trade over $5K in any category.”
Monitors $1K+ trades in real time. When institutional money moves, you know about it — with direction, size, and which nominee.
User: “DGA just announced. What's the play with $500?”
Builds a slippage-aware portfolio from guild winners with EV-based position sizing. Calculates edge, slippage, and Kalshi fees per position.
User: “Tell me about Chalamet”
Full nominee profile with odds, trends, precursor history, whale activity, order book depth, news, and a data-driven assessment.
User: “Night before the Oscars, give me a final breakdown of every category with confidence tiers.”
Pulls live odds, precursor alignment, whale sentiment, and risk tiers across all 19 categories into one comprehensive briefing.
Get Started
Step 1 · Copy
$ clawhub install waitingforamacguffinStep 2 · Paste into your AI assistant
The skill installs automatically — no config needed
Step 3 · Ask anything
> Oscar brief
> Who's the whale on Best Picture?
> Risk check Best Actor
Plain English. Real-time data. 19 categories.
Beta · Open source · MIT License · Data from Kalshi prediction markets · Not financial advice
Sample Portfolio
Bet these 5, any single win = 3x+ return
Bet
$1,200
Return
$5,455(4.5×)
#2 in category, tech voters love it
Bet
$1,200
Return
$4,286(3.6×)
Penn vulnerable at 55¢, whale buying Stellan
Bet
$1,100
Return
$4,783(4.3×)
Category chaos, Taylor at 52¢ isn't safe
Bet
$800
Return
$3,077(3.8×)
Whale on Sentimental Value = category hot
Bet
$500
Return
$980(1.9×)
5-way race, true coin flip
Questions, feedback, or partnership inquiries — we'd love to hear from you.