A specialized connector for sending quantitative trading signals from an AI agent to the FMZ platform via HTTP API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install send-signal
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 send-signal 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 SendTradeSignal?
SendTradeSignal acts as a robust bridge between the Openclaw Skills ecosystem and the FMZ Quantum Trading Platform. It is designed to empower AI agents with the ability to execute programmatic trade decisions by sending structured JSON signals to a specific robot instance. This skill ensures that when an AI concludes its market analysis, it can immediately act upon those insights by triggering Buy, Sell, Wait, or Close actions. By integrating this tool, developers can create a seamless pipeline from raw data analysis to financial execution, ensuring that Openclaw Skills are at the heart of modern automated trading strategies.
SendTradeSignal Use Cases
- Automating the execution of technical analysis signals like MACD crossovers or RSI levels.
- Bridging AI-driven market sentiment analysis with live trading robots on the FMZ platform.
- Managing multiple trading pairs (e.g., BTC_USDT, ETH_USDT) through a single AI agent interface.
- Ensuring secure, authenticated signal transmission for high-stakes quantitative trading using Openclaw Skills.
How SendTradeSignal Works
- The AI agent processes market data and determines a necessary trading action based on its logic.
- The agent invokes the SendTradeSignal tool, passing in parameters such as action type, symbol, and price.
- The skill formats this data into a structured JSON payload and attaches a secure UUID for source verification.
- A request is sent via HTTP or HTTPS to the FMZ platform's API endpoint.
- The FMZ robot receives the signal and performs the requested operation on the linked exchange.
SendTradeSignal Setup
To integrate this skill into your workflow, ensure you have a running robot instance on the FMZ platform. You will need to configure your environment with the appropriate UUID for authentication.
# Example of how an AI agent might initialize the connector internally
# No external package installation is typically required beyond the standard environment
# Ensure your FMZ API key and UUID are configured in your environment variables
SendTradeSignal Data Schema & Taxonomy
The skill transmits data using a strict schema to ensure compatibility with FMZ robots. Below is the metadata taxonomy used for every signal:
| Field | Type | Description |
|---|---|---|
action |
string | The trade command: buy, sell, wait, or close. |
symbol |
string | The trading pair, e.g., BTC_USDT. |
price |
float | The reference or limit price for the trade. |
reason |
string | The logical justification for the trade to be logged by the robot. |
SendTradeSignal Advanced Features
- Real-time signal transmission with minimal latency for high-frequency Openclaw Skills applications.
- Secure UUID-based authentication to verify that signals originate from authorized AI agents.
- Comprehensive trade reasoning support, allowing the FMZ robot to log the 'why' behind every automated action.
- Flexible protocol support for both HTTP and HTTPS to accommodate various network configurations.
SKILL.md
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