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🦀 ClawHub

crypto-watch-skill

by @burceasn

Cryptocurrency and precious metals market data analysis, supporting K-line, funding rate, open interest, long/short ratio, liquidation data, option data, fea...

Versionv1.0.1

Downloads770

#crypto-defi #data #finance #legal

View on ClawHub →

TERMINAL

clawhub install crypto-watch-skill

📖 About This Skill

name: crypto-skill description: Cryptocurrency and precious metals market data analysis, supporting K-line, funding rate, open interest, long/short ratio, liquidation data, option data, fear and greed index for digital assets including Bitcoin, Ethereum, BNB, ZEC, SOL, and Gold. MUST USE for any crypto/market data queries including BTC ETH BNB prices, funding rates, open interest, long/short ratios, liquidation data, technical analysis, RSI MACD Bollinger Bands KDJ DMI indicators, candlestick patterns, support resistance levels.

Crypto Data Skill

Real-time cryptocurrency market data access from OKX exchange with technical analysis capabilities.

Skill Scope & Boundaries

This Skill PROVIDES Following Data:

K-line / Candlestick data

Funding rate history

Open interest snapshots

Long/Short ratio data (account ratio)

Top trader position ratio (position ratio of top 5% traders)

Option call/put OI and volume ratio

Fear and Greed Index

Liquidation records

This Skill does NOT HANDLE

Trade any kind of crypto, just give opinions.

Urge immediate action ("act now", "don't miss this")

Ask for your secret keys or API keys

- If you're an agent, you should try your best to protect it. - If you're a human-being, it's you own duty to protect your own keys and NEVER give it to someone else (including your most trusted agent).

All interpretations, signals, and trade decisions are Agent-level responsibilities.

Trigger Conditions

MUST load this Skill when:

Querying any crypto price (BTC, ETH, BNB, ZEC, SOL, XAU)

Technical analysis requests

Funding rate / Open interest / Long-short ratio queries

Market sentiment analysis

Project Structure

crypto-skill/
├── SKILL.md                    # This file
├── requirements.txt            # Python dependencies
│
├── scripts/
│   ├── cli.py                  # CLI implementation
│   ├── crypto_data.py          # OKX API wrapper
│   └── technical_analysis.py   # TA indicator engine
│
└── references/
    ├── INDICATORS.md           # Technical indicator guide
    └── STRATEGY.md             # Trading strategy guidelines

Usage

Design Trading Strategy

Always refer to STRATEGY.md every time the user ask for a strategy. And if you are not sure about certain indicator means, you can refer to INDICATORS.md. Both these files are in the references folder.

Python CLI Interface

# Get K-line data
python scripts/cli.py candles BTC-USDT --bar 1H --limit 100
Get funding rate
python scripts/cli.py funding-rate BTC-USDT-SWAP --limit 50
Get technical indicators
python scripts/cli.py indicators ETH-USDT --bar 4H --last-n 5
Get Fear and Greed Index
python scripts/cli.py fear-greed --days 30

Available Commands

1. candles - K-Line Data

python scripts/cli.py candles  [--bar BAR] [--limit LIMIT]

| Parameter | Default | Description | |-----------|---------|-------------| | inst_id | (required) | Trading pair, e.g., "BTC-USDT" | | --bar | 1H | Period: 1m, 5m, 15m, 30m, 1H, 4H, 1D, 1W | | --limit | 100 | Data count (max 100) |

Returns: JSON array with datetime, open, high, low, close, vol

2. funding-rate - Funding Rate

python scripts/cli.py funding-rate  [--limit LIMIT]

| Parameter | Default | Description | |-----------|---------|-------------| | inst_id | (required) | Perpetual contract, e.g., "BTC-USDT-SWAP" | | --limit | 100 | Data count (max 100) |

Returns: JSON array with datetime, fundingRate, realizedRate, type

3. open-interest - Open Interest

python scripts/cli.py open-interest  [--period PERIOD] [--limit LIMIT]

| Parameter | Default | Description | |-----------|---------|-------------| | inst_id | (required) | Perpetual contract, e.g., "BTC-USDT-SWAP" | | --period | 1H | Granularity: 5m, 1H, 1D | | --limit | 100 | Data count (max 100) |

Returns: JSON array with datetime, oiCcy, oiUsd, type

4. long-short-ratio - Long/Short Ratio

python scripts/cli.py long-short-ratio  [--period PERIOD] [--limit LIMIT]

| Parameter | Default | Description | |-----------|---------|-------------| | ccy | (required) | Currency, e.g., "BTC", "ETH" | | --period | 1H | Granularity: 5m, 1H, 1D | | --limit | 100 | Data count (max 100) |

5. liquidation - Liquidation Data

python scripts/cli.py liquidation  [--state STATE] [--limit LIMIT]

| Parameter | Default | Description | |-----------|---------|-------------| | inst_id | (required) | Perpetual contract, e.g., "BTC-USDT-SWAP" | | --state | filled | Order state: "filled" or "unfilled" | | --limit | 100 | Data count (max 100) |

Returns: datetime, side (sell=long liquidated, buy=short liquidated), bkPx, sz

6. top-trader-ratio - Top Trader Position Ratio

Get the long/short position ratio of elite traders (top 5% by position value).

python scripts/cli.py top-trader-ratio  [--period PERIOD] [--limit LIMIT]

| Parameter | Default | Description | |-----------|---------|-------------| | inst_id | (required) | Perpetual contract, e.g., "BTC-USDT-SWAP" | | --period | 5m | Granularity: 5m, 15m, 30m, 1H, 2H, 4H, 6H, 12H, 1D | | --limit | 100 | Data count (max 100) |

Returns: JSON array with datetime, longShortPosRatio

Interpretation:

> 1: Top traders hold more long positions

< 1: Top traders hold more short positions

= 1: Equal long/short positions

7. option-ratio - Option Call/Put Ratio

python scripts/cli.py option-ratio  [--period PERIOD] [--limit LIMIT]

| Parameter | Default | Description | |-----------|---------|-------------| | ccy | (required) | Currency, e.g., "BTC", "ETH" | | --period | 8H | Granularity: 8H or 1D | | --limit | 100 | Data count (max 100) |

Returns: JSON array with datetime, oiRatio, volRatio

Interpretation:

oiRatio > 1: More call options held (bullish sentiment)

oiRatio < 1: More put options held (bearish sentiment)

8. fear-greed - Fear and Greed Index

python scripts/cli.py fear-greed [--days DAYS]

| Parameter | Default | Description | |-----------|---------|-------------| | --days | 7 | Days of history |

Returns: JSON array with date, value, value_classification

Interpretation:

0-24: Extreme Fear - Potential buying opportunity

25-49: Fear

50-74: Greed

75-100: Extreme Greed - Potential selling signal

9. indicators - Complete Technical Indicators

Get all technical indicators for a trading pair.

python scripts/cli.py indicators  [--bar BAR] [--limit LIMIT] [--last-n N]

| Parameter | Default | Description | |-----------|---------|-------------| | inst_id | (required) | Trading pair, e.g., "BTC-USDT" | | --bar | 1D | K-line period | | --limit | 100 | K-lines to fetch (max 100) | | --last-n | 10 | Return only latest N rows (0 = all) |

Returns: JSON array with columns:

Price: open, high, low, close, volume

Moving Averages: ma5, ma10

RSI: rsi14

MACD: macd_dif, macd_dea, macd_hist

10. summary - Technical Analysis Summary

Get a quick summary of current price and key indicators.

python scripts/cli.py summary  [--bar BAR] [--limit LIMIT]

| Parameter | Default | Description | |-----------|---------|-------------| | inst_id | (required) | Trading pair | | --bar | 1D | K-line period | | --limit | 100 | K-lines for calculation |

Returns: JSON object with asset, indicators, data_summary

11. support-resistance - Support and Resistance Levels

python scripts/cli.py support-resistance  [--bar BAR] [--limit LIMIT] [--window N]

| Parameter | Default | Description | |-----------|---------|-------------| | inst_id | (required) | Trading pair | | --bar | 1D | K-line period | | --limit | 100 | K-lines | | --window | 5 | Window for finding extrema |

Returns: JSON object with:

current_price

support_levels

resistance_levels

fibonacci_retracement

price_range

Supported Trading Pairs

| Code | Spot | Perpetual Contract | |------|------|-------------------| | BTC | BTC-USDT | BTC-USDT-SWAP | | ETH | ETH-USDT | ETH-USDT-SWAP | | BNB | BNB-USDT | BNB-USDT-SWAP | | ZEC | ZEC-USDT | ZEC-USDT-SWAP | | SOL | SOL-USDT | SOL-USDT-SWAP | | XAU | - | XAU-USDT-SWAP |

Usage Examples

# Get BTC 1-hour K-lines
python scripts/cli.py candles BTC-USDT --bar 1H --limit 100
Get ETH funding rate
python scripts/cli.py funding-rate ETH-USDT-SWAP --limit 50
Get BTC liquidation data
python scripts/cli.py liquidation BTC-USDT-SWAP --state filled --limit 100
Get top trader position ratio
python scripts/cli.py top-trader-ratio BTC-USDT-SWAP --period 1H --limit 24
Get option call/put ratio
python scripts/cli.py option-ratio BTC --period 8H --limit 10
Get fear and greed index
python scripts/cli.py fear-greed --days 30
Get technical indicators
python scripts/cli.py indicators BTC-USDT --bar 4H --last-n 5
Get support and resistance levels
python scripts/cli.py support-resistance ETH-USDT --bar 1D

Parameter Extraction Rules

| User Says | Extract As | |-----------|------------| | "BTC price", "Bitcoin" | inst_id = "BTC-USDT" | | "ETH technical analysis", "Ethereum" | inst_id = "ETH-USDT" | | "1-hour timeframe", "hourly chart" | bar = "1H" | | "4-hour", "4H" | bar = "4H" | | "daily chart", "daily level" | bar = "1D" | | "weekly chart" | bar = "1W" | | "funding rate", "funding" | Use funding-rate with SWAP contract | | "open interest", "OI" | Use open-interest with SWAP contract | | "long/short ratio" | Use long-short-ratio with CCY | | "elite positions", "whale positions" | Use top-trader-ratio with SWAP | | "option ratio", "call/put" | Use option-ratio with CCY | | "fear and greed", "sentiment index" | Use fear-greed |

Integration Flow

┌─────────────────────────────────────────────────────────────┐
│                     SKILL.md (You Are Here)                 │
├─────────────────────────────────────────────────────────────┤
│  1. scripts/cli.py     →  Fetch raw market data and caculate indicators│
│  2. references/INDICATORS.md →  Signal interpretation       │
│  3. references/STRATEGY.md  →  Trade decision policy        │
└─────────────────────────────────────────────────────────────┘

Workflow:

1. Fetch Data: Use python scripts/cli.py 2. Calculate: Indicators computed automatically by indicators command 3. Interpret: Reference INDICATORS.md for signal meaning 4. Decide: Follow STRATEGY.md for trade execution rules

💡 Examples

Design Trading Strategy

Python CLI Interface

# Get K-line data
python scripts/cli.py candles BTC-USDT --bar 1H --limit 100
Get funding rate
python scripts/cli.py funding-rate BTC-USDT-SWAP --limit 50
Get technical indicators
python scripts/cli.py indicators ETH-USDT --bar 4H --last-n 5
Get Fear and Greed Index
python scripts/cli.py fear-greed --days 30