taiwan-stock-snapshot

Aggregate FinMind datasets into structured Taiwan equity snapshots.

6|1|Updated Apr 2, 2026
One-click install
npx skills add https://github.com/kouko/monkey-skills --skill taiwan-stock-snapshot
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: taiwan-stock-snapshot
Source: https://github.com/kouko/monkey-skills/tree/main/investing-toolkit/skills/taiwan-stock-snapshot
Command: npx skills add https://github.com/kouko/monkey-skills --skill taiwan-stock-snapshot

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Provides a reliable, structured snapshot of Taiwan-listed equities by aggregating multiple FinMind datasets so users and workflows receive consistent, attribution-corrected market and fundamental signals without doing manual data wrangling.

Core Features & Use Cases

  • Multi-dataset aggregation: Collects price, 三大法人 (institutional flows), 月營收 (monthly revenue), 董監持股 (insider holdings), and 融資融券 (margin/short) into a single JSON fixture and human-readable card.
  • Attribution-corrected signals & postprocessing: Applies dataset-specific postprocessors, explicit attribution rules (e.g., treat 外資/投信/自營商 separately, pledge warnings), caching, retry/backoff, and graceful degradation on partial failures.
  • Handoff-ready output: Produces a formatted snapshot card plus full _processed fixture for automated handoff to domain-teams:investing-team Taiwan-Specific Diagnosis workflows.

Quick Start

Fetch a Taiwan stock snapshot for ticker 2330 for period 1y and return the structured snapshot card plus the processed data fixture for investing-team handoff.

Frequently Asked Questions about taiwan-stock-snapshot

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

FAQPage Schema
How do I aggregate Taiwan stock price, institutional flows, and margin data into a single snapshot?▼

You can aggregate Taiwan stock price, institutional flows, and margin data into a single snapshot using this Skill to fetch multiple FinMind datasets, apply dataset-specific postprocessing, and return a consolidated JSON fixture.

What is the best way to collect monthly revenue and insider holdings for TWSE and OTC tickers?▼

The best way to collect monthly revenue and insider holdings for TWSE and OTC tickers is using this Skill's FinMind multi-dataset aggregation, which structures the data with caching, retry/backoff, and graceful degradation on partial failures.

How does institutional flow postprocessing handle foreign investors, investment trusts, and dealers separately?▼

Institutional flow postprocessing handles foreign investors, investment trusts, and dealers separately by applying explicit attribution rules during dataset-specific postprocessing to ensure attribution-corrected market signals.

Do I need a FinMind API token to fetch Taiwan equity snapshots?▼

You optionally need a FINMIND_API_TOKEN to fetch Taiwan equity snapshots, as the Skill requires finmind_client.py and uses the token for authentication while supporting requests via the requests dependency.

What happens when a partial failure occurs while fetching FinMind datasets for Taiwan equities?▼

When a partial failure occurs while fetching FinMind datasets, the Skill implements graceful degradation to ensure you still receive available market and fundamental signals without losing the entire equity snapshot.

Can I use this Taiwan equity snapshot output for automated trading workflow analysis?▼

Yes, you can use the Taiwan equity snapshot output for automated trading workflow analysis because the Skill produces a human-readable card and a full processed fixture ready for handoff to investing-team diagnosis workflows.