Crypto Market Intelligence: 实时行情数据管道 - Openclaw Skills

时间：2026-07-24 09:09:01 来源：互联网

什么是 Crypto Market Intel？

Crypto Market Intel 是为 Openclaw Skills 设计的强大数据采集技能，旨在桥接 AI agents 与实时市场之间的鸿沟。它通过利用高质量的公共端点获取跨多个资产类别的全面数据，消除了 API 管理的摩擦。无论您是在追踪 Bitcoin 主导地位，还是坚控 NVDA 等 AI 领域，该技能都为明智的决策提供了必要的事实依据。

该技能在构建时考虑了便携性和可靠性，使用标准 Python 库以确保在任何环境中无缝运行。通过提供结构化的 JSON 输出，它允许 Openclaw Skills 执行复杂的市场分析、情绪追踪和自动化报告，而不会出现 LLM 对当前价格点或市场状况产生幻觉的风险。

下载入口:https://github.com/openclaw/skills/tree/main/skills/avmw2025/crypto-market-intel

安装与下载

1. ClawHub CLI

从源直接安装技能的最快方式。

npx clawhub@latest install crypto-market-intel

2. 手动安装

将技能文件夹复制到以下位置之一

全局模式 ~/.openclaw/skills/ 工作区 <project>/skills/

优先级：工作区 > 本地 > 内置

3. 提示词安装

将此提示词复制到 OpenClaw 即可自动安装。

请帮我使用 Clawhub 安装 crypto-market-intel。如果尚未安装 Clawhub，请先安装（npm i -g clawhub）。

Crypto Market Intel 应用场景

坚控实时加密货币价格、市值和主导地位指标，用于组合追踪。
使用 Fear & Greed Index 分析市场情绪，识别潜在的买入或卖出机会。
通过主要协议的 Total Value Locked (TVL) 数据追踪 DeFi 生态系统健康状况。
将加密货币走势与 DXY Dollar Index 和 10-Year Treasury 收益率等宏观指标进行关联。
为 AI agents 提供新鲜数据，用于生成自动化的每日市场总结报告。

Crypto Market Intel 工作原理

用户或 cron 任务使用特定参数（crypto、stocks 或 all）触发 market-data-fetcher 脚本。
该技能向包括 CoinGecko、DeFi Llama 和 Yahoo Finance 在内的六个免费公共 API 发送异步请求。
原始数据经过清洗、结构化并添加时间戳，以确保准确性并防止信息陈旧。
结构化的 JSON 文件被保存到指定的输出目录，以便 AI agents 轻松调用。
可以执行可选的分析包装器，将原始数据合成人类可读的提示词，供 agent 进一步推理。

Crypto Market Intel 配置指南

要安装并开始使用 Openclaw Skills 的此技能获取数据，请按照以下步骤操作：

# Navigate to the skill scripts directory
cd ~/.openclaw/skills/crypto-market-intel/scripts

# Fetch all market data to a specific directory
python3 market-data-fetcher.py all --output ~/market-data

# Run a market analysis summary
./analyze-market.sh ~/market-data

Crypto Market Intel 数据架构与分类体系

该技能生成两个主要的 JSON 产物来组织市场情报：

File	Key Metrics Included
`crypto-latest.json`	Top 30 coins, Global MCAP, BTC Dominance, Fear & Greed Index, DeFi TVL.
`stocks-latest.json`	S&P 500, Nasdaq, Dow Jones, VIX, AI Sector stocks (NVDA, MSFT), DXY, 10Y Yield.

每个文件都包含一个 fetched_at ISO 8601 时间戳，以确保数据的新鲜度。

name: crypto-market-intel
description: Crypto Market Intelligence - Free market data pipeline for any OpenClaw agent. Zero API keys needed. Fetch real-time crypto prices, market metrics, Fear & Greed index, DeFi TVL, stock indices, and macro indicators. Use when you need crypto prices, market data, market analysis, fear and greed, DeFi TVL, stock prices, macro data, market intelligence, or trading signals.

Crypto Market Intelligence

Real-time market data pipeline for crypto, stocks, and macro indicators. Zero API keys required. All data fetched from free public APIs.

When to Use

Trigger this skill when you need:

Current cryptocurrency prices and market caps
Bitcoin/Ethereum dominance
Fear & Greed Index
Trending coins
DeFi Total Value Locked (TVL)
Stock market indices (S&P 500, Nasdaq, Dow, VIX)
AI stock prices (NVDA, AMD, MSFT, etc.)
Macro indicators (DXY dollar index, 10Y Treasury yield)
Pre-fetched data for trading analysis
Market intelligence for portfolio decisions

Quick Start

Fetch all market data:

cd ~/.openclaw/skills/crypto-market-intel/scripts
python3 market-data-fetcher.py all --output ~/market-data

Analyze market conditions:

./analyze-market.sh

Core Features

? 6 Free APIs, Zero Keys

CoinGecko (coins, global metrics, trending)
Alternative.me (Fear & Greed Index)
DeFi Llama (DeFi TVL)
Yahoo Finance (stocks, indices, bonds)

? Crypto Coverage

Top 30 coins by market cap
Global market metrics (total mcap, volume, dominance)
Fear & Greed Index (current + 7-day history)
Trending coins
DeFi Total Value Locked

? Stocks & Macro

Major indices (S&P 500, Nasdaq, Dow, VIX)
AI stocks (NVDA, AMD, AVGO, MRVL, TSM, ASML, ARM, MSFT, AMZN, GOOG, META, ORCL)
AI energy (VST, CEG, OKLO, SMR, TLN)
AI infrastructure (VRT, ANET, CRDO)
Dollar Index (DXY)
10-Year Treasury Yield

? Agent-Ready Output

JSON format for easy parsing
Structured data with timestamps
Works as cron job or on-demand
No hallucinated prices — real market data

Usage

Fetch Crypto Data Only

python3 scripts/market-data-fetcher.py crypto --output ./data

Output: data/crypto-latest.json

Fetch Stocks/Macro Only

python3 scripts/market-data-fetcher.py stocks --output ./data

Output: data/stocks-latest.json

Fetch Everything

python3 scripts/market-data-fetcher.py all --output ./data

Automated Analysis

Run the analyzer wrapper to fetch data and generate a market summary prompt:

./scripts/analyze-market.sh ~/market-data

This fetches fresh data and outputs a structured prompt for the agent to analyze:

Market sentiment (Fear & Greed)
Top movers (biggest gains/losses)
Macro environment (DXY, yields, VIX)
Notable signals

Cron Integration

Schedule hourly market data fetches:

crontab -e

# Fetch market data every hour
0 * * * * cd ~/.openclaw/skills/crypto-market-intel/scripts && python3 market-data-fetcher.py all --output ~/market-data

The agent can then read pre-fetched data for instant analysis without waiting for API calls.

Data Schema

Crypto Output (`crypto-latest.json`)

{
  "fetched_at": "2026-03-13T15:45:00Z",
  "source": "coingecko+alternative.me",
  "top_coins": [
    {
      "symbol": "BTC",
      "name": "Bitcoin",
      "price": 68500.0,
      "market_cap": 1340000000000,
      "volume_24h": 28000000000,
      "change_24h_pct": 2.5,
      "change_7d_pct": -1.2,
      "change_1h_pct": 0.3,
      "ath": 69000.0,
      "ath_change_pct": -0.7,
      "rank": 1
    }
  ],
  "global": {
    "total_market_cap_usd": 2400000000000,
    "total_volume_24h_usd": 85000000000,
    "btc_dominance": 55.8,
    "eth_dominance": 17.2,
    "active_cryptocurrencies": 13245,
    "market_cap_change_24h_pct": 1.8
  },
  "fear_greed": [
    {
      "value": 62,
      "label": "Greed",
      "date": "1710346800"
    }
  ],
  "trending": [
    {
      "name": "Solana",
      "symbol": "SOL",
      "rank": 5,
      "score": 0
    }
  ],
  "defi_tvl": {
    "total_tvl": 95800000000,
    "date": 1710288000,
    "change_1d": 2.1
  }
}

Stocks Output (`stocks-latest.json`)

{
  "fetched_at": "2026-03-13T15:45:00Z",
  "stocks": {
    "indices": [
      {
        "symbol": "^GSPC",
        "price": 5200.5,
        "prev_close": 5180.0,
        "change_pct": 0.4
      }
    ],
    "ai_chips": [
      {
        "symbol": "NVDA",
        "price": 890.25,
        "prev_close": 885.0,
        "change_pct": 0.59
      }
    ]
  },
  "dxy": {
    "price": 103.45,
    "prev_close": 103.2
  },
  "treasury_10y": {
    "yield": 4.25,
    "prev_close": 4.22
  }
}

Rate Limits & Fair Use

API	Rate Limit	Notes
CoinGecko	10-50 calls/min	Free tier, no key required
Alternative.me	Unlimited	Public endpoint
DeFi Llama	Unlimited	Public endpoint
Yahoo Finance	~2000 calls/hour	Unofficial API, use responsibly

Recommendation: Run fetcher hourly, not more frequently. APIs are free but fair use matters.

Troubleshooting

Problem: Fetch fails with timeout

Solution: Check network connection, try again in a few minutes. Some APIs have temporary outages.

Problem: Yahoo Finance returns no data for a stock

Solution: Symbol may be delisted or unavailable. Check symbol accuracy (use ^ prefix for indices, e.g., ^GSPC).

Problem: DeFi TVL is null

Solution: DeFi Llama API may be updating. Historical data endpoint occasionally has lag. Try again later.

Problem: Fear & Greed returns empty

Solution: Alternative.me may be down. Check https://alternative.me/crypto/fear-and-greed-index/ directly.

Architecture Notes

No authentication — all APIs are public, no keys to manage
HTTP requests only — uses Python's built-in urllib (no external deps)
Error tolerant — if one API fails, others still succeed
Portable — works on any system with Python 3.7+
Configurable output — use --output flag to set data directory

Integration Examples

Discord Bot Alert

#!/bin/bash
python3 scripts/market-data-fetcher.py crypto --output /tmp
FEAR=$(jq '.fear_greed[0].value' /tmp/crypto-latest.json)
if [ "$FEAR" -lt 25 ]; then
  echo "?? Extreme Fear detected: $FEAR — potential buy opportunity"
fi

Trading Bot Pre-Analysis

import json

# Load pre-fetched data
with open("~/market-data/crypto-latest.json") as f:
    data = json.load(f)

# Extract top movers
top_coins = data["top_coins"]
gainers = sorted(top_coins, key=lambda x: x["change_24h_pct"], reverse=True)[:5]

print("Top 5 Gainers (24h):")
for coin in gainers:
    print(f"{coin['symbol']}: +{coin['change_24h_pct']:.2f}%")

References

See references/api-sources.md for detailed API documentation, endpoints, response schemas, and rate limit specifics.

Last Updated: 2026-03-13