A real-time cryptocurrency arbitrage monitoring tool designed for major exchanges including Binance, OKX, Gate.io, and Huobi.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install crypto-arb-cn
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install crypto-arb-cn 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 Crypto Arbitrage Monitor CN?
The Crypto Arbitrage Monitor CN is a specialized tool within the ecosystem of Openclaw Skills designed to detect price discrepancies across major cryptocurrency exchanges accessible in the Chinese market. It focuses on platforms like Binance, OKX, Gate.io, and Huobi, providing traders with actionable data on potential arbitrage opportunities. By automating the monitoring process, this skill helps users identify profit margins after accounting for exchange fees, ensuring a more data-driven approach to cross-exchange trading.
This skill is particularly valuable for developers and traders looking to build automated monitoring systems. As part of the Openclaw Skills collection, it provides a robust foundation for real-time market analysis, profit calculation, and instant alerting via Telegram, making it easier to stay ahead in the volatile crypto market.
Crypto Arbitrage Monitor CN Use Cases
- Identifying price differences for BTC, ETH, SOL, and other pairs across multiple exchanges.
- Calculating potential profit margins automatically while accounting for platform-specific trading fees.
- Receiving instant notifications via Telegram when a specific profit threshold is met.
- Running continuous background monitoring to capture transient market opportunities in real-time.
How Crypto Arbitrage Monitor CN Works
- The skill connects to the APIs of supported exchanges such as Binance and OKX to fetch real-time price data.
- It compares the bid and ask prices of specific trading pairs across all configured platforms.
- The system calculates the net profit by subtracting the relevant trading fees (0.1% to 0.2%) from the price delta.
- If the potential profit exceeds the user-defined threshold, it outputs the detailed trade path to the console or triggers a notification.
Crypto Arbitrage Monitor CN Setup
To get started with this skill from Openclaw Skills, ensure you have Python installed, then follow these steps:
- Configure your trading pairs and profit threshold in
scripts/arbitrage_monitor.py. - Run a single check for opportunities:
python scripts/arbitrage_monitor.py --once
- Start continuous monitoring (default 30-second interval):
python scripts/arbitrage_monitor.py
- For remote alerts, configure your
TELEGRAM_BOT_TOKENandTELEGRAM_CHAT_IDwithin the script environment.
Crypto Arbitrage Monitor CN Data Schema & Taxonomy
The skill organizes data based on live exchange feeds and user-defined monitoring parameters. The output and configuration follow this structure:
| Component | Details |
|---|---|
| Symbols | List of monitored pairs like BTCUSDT, ETHUSDT, etc. |
| Threshold | Minimum profit percentage (e.g., 0.5%) required to trigger an alert. |
| Exchange Data | Real-time pricing and fee structures for Binance, OKX, Gate.io, and Huobi. |
| Alert Format | Includes buy/sell exchange names, prices in local currency, and expected profit per unit. |
Crypto Arbitrage Monitor CN Advanced Features
- Customizable profit thresholds to filter out low-margin trades and minimize risk.
- Native support for the most liquid exchanges in the region including Binance and OKX.
- Integrated Telegram bot support for remote monitoring and instant push notifications.
- Scalable symbol monitoring allowing users to track an unlimited number of trading pairs.
- Built-in fee calculation logic to ensure reported profits are net and actionable within the Openclaw Skills framework.
SKILL.md
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