A Stock Analysis
A股实时行情与分时量能分析
A specialized tool for sending quantitative trading signals to the FMZ platform via HTTP API.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install 13290186019/send-signalInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
This skill serves as a bridge between the OpenClaw AI agent and the FMZ Quantum Trading Platform. It enables the AI to execute trade decisions (Buy/Sell/Wait) programmatically by sending structured JSON signals to a specific robot instance running on FMZ.
The AI should invoke this tool when a market analysis concludes with a definitive trading action.
| Parameter | Type | Description |
|---|---|---|
action |
string | The specific trading action to take. Accepted values: buy, sell, wait, close. |
symbol |
string | The trading pair symbol, formatted as BASE_QUOTE (e.g., BTC_USDT, ETH_USDT). |
price |
float | The current market price or limit price for the order. |
reason |
string | A brief explanation of why this trade decision was made (e.g., "RSI overbought", "Breaking support"). |
When the AI detects a buying opportunity for Bitcoin at 65000 USDT due to a positive trend:
handler(
action="buy",
symbol="BTC_USDT",
price=65000.0,
reason="MACD golden cross detected on 4H chart."
)
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# SendTradeSignal (FMZ Connector)
## Overview
This skill serves as a bridge between the OpenClaw AI agent and the FMZ Quantum Trading Platform. It enables the AI to execute trade decisions (Buy/Sell/Wait) programmatically by sending structured JSON signals to a specific robot instance running on FMZ.
## Features
- **Real-time Signal Transmission:** Sends trading commands instantly upon AI decision.
- **Secure Communication:** Uses a user-defined UUID to verify the source of the signal, preventing unauthorized access.
- **Structured Data:** Transmits comprehensive trade details including action type, target symbol (e.g., BTC_USDT), reference price, and reasoning.
- **HTTP/HTTPS Support:** Compatible with standard web protocols for broad compatibility.
## Usage
The AI should invoke this tool when a market analysis concludes with a definitive trading action.
### Parameters
| Parameter | Type | Description |
| :--- | :--- | :--- |
| `action` | string | The specific trading action to take. Accepted values: `buy`, `sell`, `wait`, `close`. |
| `symbol` | string | The trading pair symbol, formatted as `BASE_QUOTE` (e.g., `BTC_USDT`, `ETH_USDT`). |
| `price` | float | The current market price or limit price for the order. |
| `reason` | string | A brief explanation of why this trade decision was made (e.g., "RSI overbought", "Breaking support"). |
## Example
When the AI detects a buying opportunity for Bitcoin at 65000 USDT due to a positive trend:
```python
handler(
action="buy",
symbol="BTC_USDT",
price=65000.0,
reason="MACD golden cross detected on 4H chart."
)A股实时行情与分时量能分析
A股模拟交易系统 - 数据爬取、存储、策略回测、模拟交易 / A-Share Paper Trading System - Data Fetch, Storage, Backtest, Simulation
Discover, install, update, or create the right skill when a workflow gap appears. Use when a task is repetitive, a role lacks a reliable procedure, an existing skill might save time, ClawHub search/install coul...
AI Automation Agency Blueprint