Market Watch for Openclaw

A sophisticated market monitoring and alert system for tracking real-time cryptocurrency prices, A-share stocks, and breaking news.

hchen13
v1.2.1
Mar 15, 2026
0
906
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install market-watch

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install market-watch using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Market Watch?

Market Watch is a robust skill designed for Openclaw Skills that provides a unified alert system for market fluctuations and financial news. It allows AI agents to monitor asset prices across major exchanges like Binance, OKX, and Hyperliquid, while simultaneously tracking Chinese A-shares via TongDaXin.

Beyond simple price triggers, the skill integrates a comprehensive news monitoring engine that polls sources such as Jin10, Wall Street CN, and various crypto RSS feeds like CoinDesk and The Block. This allows your agent to act as a proactive analyst, filtering through market noise to deliver only the most relevant, actionable insights based on user-defined keyword triggers.

Market Watch Use Cases

  • Automatically notifying a user when ETH hits a specific target price to trigger a rebalancing strategy.
  • Monitoring A-share market movements during trading hours for specific stock codes.
  • Setting up high-priority news alerts for keywords like BTC ETF or SEC to capture market-moving events.
  • Using an AI agent to filter out news noise by matching alerts against a user-defined context summary.

How Market Watch Works

  1. The user or agent registers a price or news alert using the provided Python scripts, specifying conditions and context.
  2. A background daemon process manages polling loops (e.g., 5s for crypto, 4s for A-shares) to monitor market data and news feeds.
  3. Upon triggering a condition, the system generates a market alert notification including the original session context.
  4. The agent receives the alert, analyzes the news relevance or price impact, and proactively contacts the user via the specified channel like Feishu.

Market Watch Setup

To get started with this skill for Openclaw Skills, use the following commands to manage the monitoring daemon and register alerts:

# Define the skill path
SKILL="$HOME/.openclaw/skills/market-watch/scripts"

# Start the monitoring daemon
bash "$SKILL/daemon.sh" start

# Register a price alert for ETH
python3 "$SKILL/register-price-alert.py" \
  --agent your_agent_name \
  --asset ETH \
  --market crypto \
  --condition ">=" \
  --target 2500 \
  --reply-channel feishu \
  --reply-to "user:id"

Market Watch Data Schema & Taxonomy

The skill organizes alert data within the agent's private directory using a structured JSON format to ensure persistence and traceability for Openclaw Skills.

Field Type Description
id string Unique identifier for the alert
type string Either price or news
status string active, triggered, or cancelled
context_summary string The user's original intent for setting the alert
asset string The ticker symbol (e.g., BTC, ETH, 600519)
condition string Comparison operator (>=, <=, >, <)

Market Watch Advanced Features

  • Dynamic Exchange Discovery: Automatically fetches and updates trading pairs from Binance, OKX, and Bitget every hour.
  • Intelligent Priority Routing: Automatically selects the best data source for specific assets, such as prioritizing Hyperliquid for HYPE tokens.
  • One-Shot Alerts: Configure price alerts to trigger once and then automatically deactivate to prevent notification fatigue.
  • AI Relevance Filtering: Empower agents to ignore news noise by comparing incoming headlines against the user's setup context and specified keyword modes.

SKILL.md


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