← 返回
效率工具 Key 中文

optionwhales

Query real-time option flow intelligence and generate AI-powered trade analysis reports. Use when users ask about option flow, unusual options activity, inst...
实时查询期权流向情报,生成AI驱动的交易分析报告。用于用户询问期权流向、异常期权活动、机构等。
psdsam-niuniuking
效率工具 clawhub v1.0.1 2 版本 99863 Key: 需要
★ 1
Stars
📥 709
下载
💾 14
安装
2
版本
#latest

概述

OptionWhales Intelligence Skill

Two capabilities in one skill:

  1. Option Flow — query the OptionWhales Pro API for real-time institutional

option flow analysis (intent momentum, abnormal trades, rankings).

  1. AI Reports — generate and retrieve AI-powered trade analysis reports via

a 22-node LLM pipeline (market analysis, flow, fundamentals, news, bull/bear

debate, risk assessment, BUY/SELL/HOLD recommendation).

> Free tier available! Sign up at https://www.optionwhales.io to get a free

> API key instantly — no credit card required.

When to Use

✅ USE this skill when:

  • "What's the option flow on AAPL today?"
  • "Show me unusual options activity"
  • "What are institutions buying?"
  • "Is there bullish or bearish momentum in TSLA?"
  • "Show me the top momentum tickers"
  • "Generate an AI report for TSLA"
  • "What's the AI analysis on SPY today?"
  • "Show my report history"
  • "Check my report generation quota"

When NOT to Use

❌ DON'T use this skill when:

  • Stock price quotes only → use a stock/market data skill
  • Historical stock charts → use a charting skill
  • GEX / gamma exposure queries → not exposed via API
  • Options pricing or Greeks calculation → use a quant tool
  • Crypto or forex → this is US equity options only

Setup

Option Flow (required)

Requires an OptionWhales API key.

  • Free key: Sign up at https://www.optionwhales.io/settings/api-keys
  • Pro key: Full access — all tickers, all fields, historical sessions
export OPTIONWHALES_API_KEY="ow_free_your_key_here"  # or ow_pro_...

AI Reports (optional)

Requires an AI service Bearer token (contact system administrator).

export AI_API_TOKEN="your_bearer_token_here"

Part 1 — Option Flow API

Base URL: https://api.optionwhales.io/v1

All requests require header: X-API-Key: $OPTIONWHALES_API_KEY

Flow API Reference

Current Flow Rankings

curl -s -H "X-API-Key: $OPTIONWHALES_API_KEY" \
  "https://api.optionwhales.io/v1/flow/current" | python3 -m json.tool

Response includes per-ticker: intent_primary (Directional/Gamma/LongVol/ShortVol/Mixed),

direction_bias (bullish/bearish/neutral), intent_confidence (0-1), momentum_fast,

momentum_slow, coherence_last, strength_last, key_strikes.

Ticker Detail (Clusters + Time Series)

curl -s -H "X-API-Key: $OPTIONWHALES_API_KEY" \
  "https://api.optionwhales.io/v1/flow/current/AAPL" | python3 -m json.tool

Returns: ranking (summary), clusters (strategy clusters with dollar Greeks),

cluster_trades (individual trades), time_series (30-min momentum buckets).

Historical Sessions

# System health and session status
curl -s -H "X-API-Key: $OPTIONWHALES_API_KEY" \
  "https://api.optionwhales.io/v1/flow/sessions" | python3 -m json.tool

# Get a specific session's rankings
curl -s -H "X-API-Key: $OPTIONWHALES_API_KEY" \
  "https://api.optionwhales.io/v1/flow/2025-06-02" | python3 -m json.tool

# Get a specific ticker from a historical session
curl -s -H "X-API-Key: $OPTIONWHALES_API_KEY" \
  "https://api.optionwhales.io/v1/flow/2025-06-02/AAPL" | python3 -m json.tool

Momentum Rankings

curl -s -H "X-API-Key: $OPTIONWHALES_API_KEY" \
  "https://api.optionwhales.io/v1/momentum/rankings" | python3 -m json.tool

Momentum History

curl -s -H "X-API-Key: $OPTIONWHALES_API_KEY" \
  "https://api.optionwhales.io/v1/momentum/AAPL/history" | python3 -m json.tool

Abnormal Trades

# Current session
curl -s -H "X-API-Key: $OPTIONWHALES_API_KEY" \
  "https://api.optionwhales.io/v1/abnormal-trades/current" | python3 -m json.tool

# Historical session
curl -s -H "X-API-Key: $OPTIONWHALES_API_KEY" \
  "https://api.optionwhales.io/v1/abnormal-trades/2025-06-02" | python3 -m json.tool

Account Usage

curl -s -H "X-API-Key: $OPTIONWHALES_API_KEY" \
  "https://api.optionwhales.io/v1/account/usage" | python3 -m json.tool

WebSocket — Real-Time Abnormal Trades (Pro Only)

python3 -c "
import asyncio, websockets, json
async def stream():
    uri = 'wss://api.optionwhales.io/v1/ws/abnormal-trades?api_key=YOUR_PRO_KEY'
    async with websockets.connect(uri) as ws:
        await ws.send(json.dumps({'type': 'subscribe', 'tickers': ['AAPL', 'NVDA', 'TSLA']}))
        async for msg in ws:
            data = json.loads(msg)
            if data['type'] == 'abnormal_trade':
                print(json.dumps(data['data'], indent=2))
asyncio.run(stream())
"

Flow Helper Script

# Current flow rankings
python3 {baseDir}/scripts/optionflow.py flow

# Flow for specific ticker
python3 {baseDir}/scripts/optionflow.py flow --ticker AAPL

# Historical session flow
python3 {baseDir}/scripts/optionflow.py flow --session 2025-06-02

# Momentum rankings
python3 {baseDir}/scripts/optionflow.py momentum

# Top 5 momentum tickers
python3 {baseDir}/scripts/optionflow.py momentum --top 5

# Current abnormal trades
python3 {baseDir}/scripts/optionflow.py abnormal

# Historical abnormal trades
python3 {baseDir}/scripts/optionflow.py abnormal --session 2025-06-02

Interpreting Flow Results

Intent Types

| Intent | Meaning |

|--------|---------|

| Directional | Net delta-dominant flow — strong directional bet |

| Gamma | Gamma-dominant — positioning for rapid price moves |

| LongVol | Buying volatility (long vega, positive theta risk) |

| ShortVol | Selling volatility (short vega, positive theta) |

| Mixed | No dominant Greek — conflicting signals |

Direction Bias

  • bullish: Net positive delta flow
  • bearish: Net negative delta flow
  • neutral: Delta share below 15% of total flow

Confidence Score

0–1 scale combining flow coherence (how aligned the trades are) and strength

(total dollar Greek magnitude). Above 0.7 is high conviction.

Momentum

  • momentum_fast (α=0.35): responsive to recent flow changes
  • momentum_slow (α=0.15): trend-smoothed
  • Positive = bullish acceleration, negative = bearish acceleration

Part 2 — AI Report Service

Base URL: https://ai-service-production-b44b.up.railway.app

All requests require header: Authorization: Bearer $AI_API_TOKEN

Credit System

| Tier | Credits/Day | Can Generate? |

|------|-------------|---------------|

| FREE | 0 | No — hard-blocked |

| TRIAL | 5 | Yes |

| PRO | 5 | Yes |

| ADMIN | Unlimited | Yes |

Additional constraints:

  • 5-minute cooldown per ticker after a successful generation
  • ≥10% premium increase required to regenerate for the same ticker
  • Credits reset daily at 12:00 AM ET

AI Report API Reference

Generate a Report

curl -s -X POST \
  -H "Authorization: Bearer $AI_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"user_id":"user@example.com","user_tier":"PRO","ticker":"TSLA","session_date":"2026-03-25","session_type":"live","large_orders":[]}' \
  "https://ai-service-production-b44b.up.railway.app/reports"

Returns: {"job_id": "abc-123", "status": "queued", "message": "..."}

Poll Job Status

curl -s -H "Authorization: Bearer $AI_API_TOKEN" \
  "https://ai-service-production-b44b.up.railway.app/reports/{job_id}"

Fetch Report (JSON)

curl -s -H "Authorization: Bearer $AI_API_TOKEN" \
  "https://ai-service-production-b44b.up.railway.app/reports/by-id?user_id=user@example.com&ticker=TSLA&trading_day=2026-03-25&report_id=rpt-456"

Fetch Report (Markdown)

curl -s -H "Authorization: Bearer $AI_API_TOKEN" \
  "https://ai-service-production-b44b.up.railway.app/reports/{job_id}/artifact/md"

Report History

curl -s -H "Authorization: Bearer $AI_API_TOKEN" \
  "https://ai-service-production-b44b.up.railway.app/reports/history?ticker=TSLA&trading_day=2026-03-25&user_id=user@example.com"

Per-Ticker Summary

curl -s -H "Authorization: Bearer $AI_API_TOKEN" \
  "https://ai-service-production-b44b.up.railway.app/reports/history/summary?user_id=user@example.com&trading_day=2026-03-25"

Check Quota

curl -s -H "Authorization: Bearer $AI_API_TOKEN" \
  "https://ai-service-production-b44b.up.railway.app/quotas?user_id=user@example.com&tier=PRO"

Check Eligibility

curl -s -X POST \
  -H "Authorization: Bearer $AI_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"user_id":"user@example.com","user_tier":"PRO","ticker":"TSLA","session_date":"2026-03-25","session_type":"live","large_orders":[]}' \
  "https://ai-service-production-b44b.up.railway.app/eligibility"

Health Check

curl -s -H "Authorization: Bearer $AI_API_TOKEN" \
  "https://ai-service-production-b44b.up.railway.app/health"

AI Report Helper Script

# Generate a report
python3 {baseDir}/scripts/aireport.py generate --ticker TSLA --user-id user@example.com --user-tier PRO

# Check job status
python3 {baseDir}/scripts/aireport.py status --job-id abc-123

# Fetch report (JSON)
python3 {baseDir}/scripts/aireport.py report --user-id user@example.com --ticker TSLA --trading-day 2026-03-25 --report-id rpt-456

# Fetch report (Markdown)
python3 {baseDir}/scripts/aireport.py report --job-id abc-123 --format markdown

# Browse existing reports
python3 {baseDir}/scripts/aireport.py summary --user-id user@example.com --trading-day 2026-03-25

# List reports for a ticker
python3 {baseDir}/scripts/aireport.py history --ticker TSLA --trading-day 2026-03-25 --user-id user@example.com

# Check quota
python3 {baseDir}/scripts/aireport.py quota --user-id user@example.com --tier PRO

# Check eligibility
python3 {baseDir}/scripts/aireport.py eligibility --ticker TSLA --user-id user@example.com --user-tier PRO

# Service health
python3 {baseDir}/scripts/aireport.py health

Interpreting AI Report Results

Decision Actions

| Action | Meaning |

|--------|---------|

| BUY | Bullish — AI recommends long exposure on the underlying |

| SELL | Bearish — AI recommends short exposure / protective puts |

| HOLD | Neutral — no new directional exposure recommended |

Confidence Score

0–100 scale reflecting the AI pipeline's conviction. Above 70% = high conviction;

below 50% = conflicting signals.

Report Sections

| Section | Content |

|---------|---------|

| Option Flow | Institutional flow analysis, intent momentum, flow coherence |

| Abnormal Flow | Large/unusual trades flagged by the detection engine |

| Market Structure | GEX levels, call/put walls, max pain, key strike zones |

| Market | Macro indicators, OHLCV, technical levels |

| Fundamentals | Company fundamentals, valuation metrics |

| News | Recent news sentiment analysis |

| Debate | Bull vs Bear researcher arguments with judge decision |

| Risk | Three-analyst risk assessment (aggressive, conservative, neutral) |


Example Queries → Commands

| User asks | Tool |

|-----------|------|

| "What's the flow today?" | python3 {baseDir}/scripts/optionflow.py flow |

| "Show TSLA option activity" | python3 {baseDir}/scripts/optionflow.py flow --ticker TSLA |

| "Top momentum tickers" | python3 {baseDir}/scripts/optionflow.py momentum |

| "Any unusual trades?" | python3 {baseDir}/scripts/optionflow.py abnormal |

| "Is AAPL bullish or bearish?" | python3 {baseDir}/scripts/optionflow.py flow --ticker AAPL → check direction_bias |

| "Generate AI report for TSLA" | python3 {baseDir}/scripts/aireport.py generate --ticker TSLA --user-id --user-tier PRO |

| "Show my report history" | python3 {baseDir}/scripts/aireport.py summary --user-id --trading-day |

| "Check my report quota" | python3 {baseDir}/scripts/aireport.py quota --user-id --tier PRO |

| "Show my API usage" | python3 {baseDir}/scripts/optionflow.py usage |

Notes

  • Option flow data updates every 30 minutes during market hours (9:30 AM – 4:00 PM ET)
  • Final daily data available after 7:30 AM ET next trading day (with full OI deltas)
  • Free tier: 10 requests/minute, 200/day; top 3 tickers, last 5 abnormal trades
  • Pro tier: 60 requests/minute, 5000/day; all tickers, all fields, WebSocket, historical sessions
  • AI reports take 30–90 seconds to generate (22-node pipeline)
  • US equity options only (no futures, crypto, or forex)

版本历史

共 2 个版本

  • v1.0.1 当前
    2026-03-29 14:09 安全 安全
  • v1.0.0
    2026-03-26 21:38

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

🔗 相关推荐

productivity

Nano Pdf

steipete
使用nano-pdf CLI通过自然语言指令编辑PDF
★ 275 📥 114,895
productivity

Obsidian

steipete
操作 Obsidian 仓库(纯 Markdown 笔记)并通过 obsidian-cli 自动化。
★ 432 📥 103,814
productivity

Word / DOCX

ivangdavila
创建、检查和编辑 Microsoft Word 文档及 DOCX 文件,支持样式、编号、修订记录、表格、分节符及兼容性检查等功能。
★ 440 📥 147,879