本文へ移動
cccskills
無料GitHub で公開

SendTradeSignal

A specialized tool for sending quantitative trading signals to the FMZ platform via HTTP API.

インストール方法を見る

含まれるファイル(3)

  • SKILL.md1.7 KB
  • _meta.json279 B
  • handler.py1.3 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

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

ParameterTypeDescription
actionstringThe 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").

Example

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."
)

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

0protocol

無料

Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.

日本語の概要は準備中です。原文の説明を表示しています。

johnalbertini14-glitch/openclaw-skills22026年2月26日 更新

0xarchive

無料

Query historical crypto market data from 0xArchive across Hyperliquid, Lighter.xyz, and HIP-3. Covers orderbooks, trades, candles, funding rates, open interest, liquidations, and data quality. Use when the user asks about crypto market data, orderbooks, trades, funding rates, or historical prices on Hyperliquid, Lighter.xyz, or HIP-3.

日本語の概要は準備中です。原文の説明を表示しています。

johnalbertini14-glitch/openclaw-skills22026年2月26日 更新

Calculate ROI for AI-as-a-Service (managed AI agents). Estimates cost savings, efficiency gains, and payback period for deploying AI agents across business operations. Use when evaluating whether managed AI agents make financial sense for a company.

日本語の概要は準備中です。原文の説明を表示しています。

johnalbertini14-glitch/openclaw-skills22026年2月26日 更新

Design, build, deploy, and operate production AI agent systems — single agents, multi-agent teams, and autonomous swarms. Complete methodology from agent architecture through orchestration, memory systems, safety guardrails, and operational excellence.

日本語の概要は準備中です。原文の説明を表示しています。

johnalbertini14-glitch/openclaw-skills22026年2月26日 更新

Design, build, test, document, and secure production-grade APIs. Covers the full lifecycle from schema design through deployment, monitoring, and versioning. Use when designing new APIs, reviewing existing ones, generating OpenAPI specs, building test suites, or debugging production issues.

日本語の概要は準備中です。原文の説明を表示しています。

johnalbertini14-glitch/openclaw-skills22026年2月26日 更新

Turn your AI agent into a business automation architect. Design, document, implement, and monitor automated workflows across sales, ops, finance, HR, and support — no n8n or Zapier required.

日本語の概要は準備中です。原文の説明を表示しています。

johnalbertini14-glitch/openclaw-skills22026年2月26日 更新

johnalbertini14-glitch のスキルをすべて見る

このスキルの問題を報告する