futu-trades

Query recent trades, holdings, and account data from FutuOpenD.

27|9|Updated Jan 25, 2026
One-click install
npx skills add https://github.com/Leoyishou/personal-ai-company --skill futu-trades
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: futu-trades
Source: https://github.com/Leoyishou/personal-ai-company/tree/main/claude-global/skills/futu-trades
Command: npx skills add https://github.com/Leoyishou/personal-ai-company --skill futu-trades

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires futu, pytz, and includes scripts (resource) components.

What problem does it solve?

This Skill enables quick access to your most recent trading records, holdings, and account information from a locally running FutuOpenD service, helping you monitor investments without manual data pulls.

Core Features & Use Cases

  • Retrieve recent trades across US, HK, and CN markets.
  • Fetch current holdings with quantities and market value.
  • Get a concise account overview for fast decision-making.

Quick Start

Use a single natural-language instruction to query the latest data from your local FutuOpenD service.

Frequently Asked Questions about futu-trades

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query recent trades and holdings from FutuOpenD using Python?

Retrieve current holdings with quantities and market value by querying your local FutuOpenD service, which provides position data across US, HK, and CN markets for portfolio monitoring.

Do I need a running FutuOpenD service to fetch my account positions?

Yes, you need a locally running FutuOpenD service and the futu Python package installed to retrieve account overviews, recent trades, and current holdings across US, HK, and CN markets.

Can I get a concise account overview for US, HK, and CN markets in one query?

Yes, a single natural-language instruction retrieves a concise account overview across US, HK, and CN markets, fetching recent trades, current holdings, and account data for fast decision-making.

Why does querying FutuOpenD data require the pytz package?

Querying FutuOpenD data requires pytz to handle timezone-aware data retrieval, ensuring trade records and account information from US, HK, and CN markets are accurately timestamped.

What is the best way to monitor recent trading records without manual data pulls?

Use this Skill to query your local FutuOpenD service for quick access to recent trading records, current holdings, and account overviews, eliminating the need for manual data pulls across US, HK, and CN markets.