TW Market Data LogoTW Market Data

Facts & statistics

Market facts

Long-run statistics for Taiwan equities, each with its sample period and as_of

Seasonality

Monthly return distributions and hit rates, with sample sizes

Institutional flow

Seasonality in the breadth of institutional net buying

Limit events

How often limit moves happen, and how concentrated they are

Delisting

Delisting counts and survival spans — the basis for avoiding survivorship bias

Rule changes

A timeline of trading-rule changes — the premise for reading historical data

Data & exploration

Dataset catalogue

Every dataset, its coverage, and how often it updates

Playground

Call the API from the browser, without a key

Market today

Today's market at a glance

Stock analysis

The entry point for looking at one instrument

Market heat map

The whole market in one picture — area is market cap, colour is revenue growth

Market calendar

Statutory disclosure deadlines — the day a figure may legally first be known

Platform capabilities

Product overview

What TWMD provides, and who it is built for

Verifiable proof

Signed checkpoints and per-row inclusion proofs

Data quality

Reconciliation, gap handling, and quality status

Methodology

How the figures are computed, and on what basis

Auditable execution

Tie a trading decision back to the data it saw

Connect your broker

Bring TWMD into an existing order and research workflow

Developers

Documentation

API reference, dataset pages, and integration guides

Quick start

Authentication and your first request

Integrate by role

Separate paths for quant research, data engineering, and app development

Connect over MCP

Point an agent straight at TWMD

MCP registry

The published MCP tool list and its signed manifest

Webhooks

Have your system told when data updates

Learn

Blog

Long-form writing on data, method, and market structure

Answers

Specific answers to specific questions, with sources

Topics

Industry chains and thematic relationships

Help centre

Account, billing, and usage questions

Glossary

Definitions for Taiwan-market and data terms

Compare & status

Why TWMD

A point-by-point comparison with FinMind and TEJ

Migrate from FinMind

Field mapping and migration steps

Migrate from FinLab

Field mapping and migration steps

Migrate from TEJ

Field mapping and migration steps

Status

Service availability and incident history

Security & trust

Trust centre

What we claim, and the limits on each claim

Security

Architecture, access control, and incident handling

Security facts

The items you can verify from outside

Security evidence

SBOM, ASVS mapping and threat model — including the three controls we do not meet.

Self-assessment

Item-by-item answers for a procurement questionnaire

Compliance & standards

Compliance mapping

Evidence primitives mapped onto FSB, IOSCO, and SR 26-2

Standards & interop

Term-by-term mapping onto published standards, and where it does not map

Provenance & C2PA

A machine-readable origin graph, fetchable without a key

Licensing

How the data may be used and redistributed

Adoption

Evaluate

Seven checks you can run yourself, without an account

Talk to sales

Enterprise plans, quotas, and contract detail

Pricing
中文Sign inSign up
TW Market Data

Taiwan market-data infrastructure, built for AI agents and quantitative workflows.

Status unknown
© 2026 TW Market Data

TW Market Data (TWMD) provides historical data and statistics, not investment advice; investment decisions and their risks are your own.

  • Privacy Policy·
  • Terms of Service·
  • Cookie Policy·
  • Acceptable Use Policy·
  • Data Sources & Licensing·
  • Legal (all documents)
中文

AI Agent

  • MCP Server
  • Skills
  • Tool manifest
  • Agent workflow examples
  • Agent benchmark
  • llms.txt
  • OpenAPI spec

Security

  • Security overview
  • Verifiable data
  • Trust Center
  • Standards & Interop
  • Regulatory mapping

Product

  • Datasets
  • Topics
  • Market facts
  • Documentation
  • Integration runbooks
  • Playground (no signup)
  • Free tier
  • Solutions

Company

  • About TWMD
  • Blog
  • Help centre
  • Pricing

Integration runbook

Model risk and compliance

Second-line functions answering to SR 26-2, the EU AI Act, or internal model governance.

Be able to say what data the AI used, with evidence that does not rest on trusting the vendor.

Each step below says which surface carries it and whether it works today. Every "Works today" step was probed against the live API on 2026-08-21; the rest say what is missing. Nothing here is written in the present tense because it is planned.

  1. 1. Per-query evidence

    MCPWorks today

    Every MCP query has a query_id, and replay returns the bytes that were served plus a hash. Three states: found; too_large (it was served but exceeded the size ceiling — the hash is still authoritative, so a copy you hold can still be checked); and not_found (never recorded or pruned, so the citation cannot be resolved).

  2. 2. Independent verification, reported in three states

    FileWorks today

    The verifier runs in your environment and reports PASS, FAIL or UNPROVEN, keeping 'the signature is valid' separate from 'the contents are true'. The first can be established; the second cannot.

  3. 3. The data carries no personal data and no inside information

    WebsiteWorks today

    It is all official public disclosure, which keeps privacy review light. The TDCC shareholding data is an aggregate distribution, not person-level records.

  4. 4. Self-assessment questionnaires

    WebsiteWorks today

    The CAIQ and SIG-Lite self-assessments are published in the trust centre and can be taken from there.

  5. 5. One-click evidence pack

    Roadmap

    Export a period's receipts, attestations, datasheets and coverage history in one go, with a regulation mapping table.

    Not served.

  6. 6. Third-party audit and penetration testing

    Roadmap

    SOC 2, ISO 27001 and third-party penetration testing.

    None of them yet. The trust centre states the position as it stands. SLA and DPA templates are also still being drafted.

Where this stops

What we provide is data-layer evidence. Governance of the model and reasoning layer — prompts, weights, output review — sits with you, not with us, and any vendor claiming to cover both is worth questioning.

The other runbooks

  • Quant research — Get TWMD into your research environment without letting a backtest see the future.
  • Data platform — Treat TWMD as an upstream source with lineage, documentation and verifiability.
  • AI and agent teams — Make every number an agent uses traceable and checkable — and make it say so when it does not know.

For how the proofs map onto published standards, see Standards & Interop.