Alphagbm Unusual Activity

AlphaGBM Unusual Options Activity

Detects unusual options activity and classifies smart money signals to help you follow institutional positioning.

What This Skill Does

How to Use

Input: A ticker symbol or market-wide scan request.

Output:

• Unusual activity list: timestamp, strike, expiry, type (call/put), volume, OI, premium, trade classification
• Sentiment classification per trade (bullish sweep, bearish block, hedging, earnings positioning)
• Net premium flow (calls vs puts in dollar terms)
• Historical accuracy: how often similar signals preceded the expected move
• Aggregated smart money score

Example Queries:

• unusual options activity — Market-wide scan of today's most unusual trades
• smart money AAPL — Institutional flow signals for Apple
• large trades NVDA — Block and sweep orders for NVIDIA
• who's buying TSLA puts — Bearish flow analysis for Tesla
• options flow SPY — Net premium flow for S&P 500 ETF

Mock Data

Mock data files are located in mock-data/unusual-activity/ and include:

• aapl-unusual-trades.json — Recent unusual trades for AAPL
• market-wide-scan.json — Top 20 unusual activity signals across all tickers
• flow-summary.json — Aggregated premium flow by sector

API Endpoint

GET /api/options/unusual-activity/{symbol}
GET /api/options/unusual-activity/scan

Query parameters:

• min_premium (int, default 100000) — Minimum trade premium in dollars
• min_vol_oi_ratio (float, default 3.0) — Minimum volume-to-OI ratio
• trade_type (string) — Filter: "sweep", "block", "all"
• sentiment (string) — Filter: "bullish", "bearish", "all"

Response fields: trades[], net_premium_flow, sentiment_summary, smart_money_score, historical_accuracy

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