opendAgentic trading and market-data workflows for Futu OpenD (MooMoo/Futu OpenAPI), including OpenClaw-compatible secret-ref credential loading, account discover...
Install via ClawdBot CLI:
clawdbot install oscraters/opendGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://www.futunn.com/OpenAPIAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Traders can use this skill to backtest algorithmic strategies by placing simulated orders in a controlled environment. It allows querying market snapshots and positions without financial risk, enabling iterative refinement of trading logic before live deployment.
Financial advisors or individual investors can automate daily portfolio checks by querying account balances and positions across multiple markets. The structured JSON output facilitates integration with dashboards or alert systems for real-time oversight.
Hedge funds can integrate this skill into automated workflows to execute live trades based on external signals, using explicit safety guardrails like simulated environments first. It supports credential management via OpenClaw for secure, auditable operations in production.
Researchers or analysts can fetch real-time market snapshots for stocks like HK.00700 or US.AAPL to perform quantitative analysis. The skill's CLI interface allows easy scripting for data collection without manual API calls.
Offer a cloud-based platform where users access automated trading tools powered by this skill, with subscription tiers for features like backtesting, live execution, and advanced analytics. Revenue comes from monthly fees and premium support services.
Provide bespoke development services to clients who need tailored trading bots integrating this skill for specific strategies or markets. Revenue is generated through project-based fees and ongoing maintenance contracts.
Create an educational platform where users learn trading by practicing with simulated orders and market data via this skill. Monetize through course sales, certification programs, and access to advanced simulation features.
💬 Integration Tip
Always start with SIMULATE mode for testing and use OpenClaw secret management in production to avoid exposing credentials in shell environments.
Scored Apr 19, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version f...
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
Search and discover OpenClaw skills from various sources. Use when: user wants to find available skills, search for specific functionality, or discover new s...
Prefer `skillhub` for skill discovery/install/update, then fallback to `clawhub` when unavailable or no match. Use when users ask about skills, 插件, or capabi...
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.