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Alphagbm Unusual Activity

核心功能：监测成交量/OI比飙升、大宗交易、扫单等异常期权活动，分类多空情绪，输出净溢价流、历史准确率、聪明资金评分。典型场景：查询个股（如AAPL）或全市场异常交易、多空流分析。输入为个股代码或扫描请求，输出含异常交易列表等结构化数据。

clementgu
clementgu
热度 13.92
最近更新 2026-07-23 14:15:30
分类：数据依赖：第三方 API / 读写文件应用场景：市场分析 / 报告撰写 / 财务

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add alphagbm-unusual-activity
Metadata
name
alphagbm-unusual-activity
description
Detects unusual options activity and smart money signals. Monitors volume/OI ratio spikes, large block trades, unusual strike/expiry combinations, and net premium flow. Triggers: "unusual options activity", "smart money AAPL", "large trades NVDA", "who's buying TSLA puts", "options flow", "block trades", "sweep orders", "unusual volume", "dark pool activity", "whale trades"
globs
["mock-data/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

Concept Description
Volume/OI Ratio When today's volume far exceeds open interest, it signals new positioning
Block Trade A single large transaction (typically 100+ contracts) executed at one price
Sweep Order Aggressive order that sweeps across multiple exchanges to get filled fast — indicates urgency
Premium Flow Net dollar amount of call vs put premium — shows directional conviction
Sentiment Classification Categorizes activity as bullish sweep, bearish block, hedging, or earnings positioning
Historical Accuracy How often past unusual activity correctly predicted direction

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

Related Skills

Skill Relevance
alphagbm-options-score Combines unusual activity into the overall options score
alphagbm-market-sentiment Market-wide context for interpreting flow signals

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