options-flow-analyzer
Real vs lottery call separation for options P/C ratio analysis — prevents signal inversion from deep OTM noise
npx skills add sickn33/agentic-awesome-skills --skill options-flow-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Options Flow Analyzer Analyze options chain data with real vs lottery call separation — the key insight that prevents P/C ratio misinterpretation. Uses Polygon.io API. ## When to Use - Use when raw put/call ratios appear bullish or bearish but may be distorted by cheap deep OTM contracts. - Use when comparing options flow across watchlists, holdings, sectors, or event-driven names. - Use when you need to separate institutional hedging from speculative lottery-ticket activity. - Use when tracking options anomalies against a recent baseline. ## What it does Standard P/C ratio analysis is misleading. A P/C of 0.35 looks "extremely bullish" but may be 84% lottery calls ($0.01-$0.09 OTM options). This skill separates: - **Real calls**: Strike price within 5% of stock price, meaningful premium - **Lottery calls**: Deep OTM, cheap premium, speculative bets - **Real puts**: Actual hedging activity - **Lottery puts**: Cheap downside bets ## Analysis Output For each ticker: - Real P/C ratio (excludes lottery noise) - Lottery percentage (what % of volume is speculation) - Per-expiry breakdown (weekly vs monthly vs LEAPS) - Anomaly detection: P/C shifts >0.3, Call OI surges >30%, IV spikes >
- When to Use
- What it does
- Analysis Output
- Example Output
- Configuration
- Requirements
- Limitations
- Key Discovery
- Pricing
- Author
What does the options-flow-analyzer skill do?
Real vs lottery call separation for options P/C ratio analysis — prevents signal inversion from deep OTM noise
How do I install it?
Run `npx skills add sickn33/agentic-awesome-skills --skill options-flow-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.