Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
A specialized tool for sending quantitative trading signals to the FMZ platform via HTTP API.
A specialized tool for sending quantitative trading signals to the FMZ platform via HTTP API.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
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.
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.
The AI should invoke this tool when a market analysis concludes with a definitive trading action.
ParameterTypeDescriptionactionstringThe specific trading action to take. Accepted values: buy, sell, wait, close.symbolstringThe trading pair symbol, formatted as BASE_QUOTE (e.g., BTC_USDT, ETH_USDT).pricefloatThe current market price or limit price for the order.reasonstringA 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." )
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