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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
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TW Market Data

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

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© 2026 TW Market Data

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

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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

Data platform

The data engineering team running Snowflake, Databricks or an EDW.

Treat TWMD as an upstream source with lineage, documentation and verifiability.

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. Land batches as an external table

    FileNot publicly verifiable

    Land the Parquet files in your object store and mount them as an external table; the files carry their own schema.

    As above: an enterprise delivery that a public probe cannot reach.

  2. 2. Every dataset has a datasheet for your catalog

    WebsiteWorks today

    Each dataset has a Gebru-format datasheet: composition, collection, cadence and freshness, point-in-time semantics, recorded gaps, licence and access. They live at /datasets/<slug>/datasheet in both languages, composed from the registry and the coverage measurement rather than written per dataset, so they cannot say something the registry does not.

  3. 3. Verify integrity batch by batch

    RESTWorks today

    Any batch can be checked against /v2/proof/inclusion to show a row really is in the signed snapshot. The hashing rules are at /v2/proof/recipe and the signing key at /v2/proof/public-key, neither of which needs a key.

  4. 4. Proof that history was not rewritten

    Roadmap

    A consistency proof shows one tree is an extension of an earlier one — that history was not quietly rewritten.

    Not served. The checkpoint's own does_not_prove says it cannot establish this. See the Standards & Interop page.

  5. 5. PROV-O JSON-LD lineage output

    Roadmap

    Emit provenance as W3C PROV so Collibra or Purview can ingest it directly.

    The lineage available today is the lineage and source_role fields in the REST envelope. Asking for ?format=prov-jsonld returns 400 unsupported_format and names what is supported, csv and ndjson, so there is no way to think you received PROV-O and actually receive ordinary rows. (Before 2026-08-21 the parameter was silently ignored, which was the misleading version.)

  6. 6. Delivery webhooks and a schedule SLA

    Roadmap

    A push notification when a batch lands, with a documented schedule SLA.

    Not served.

Where this stops

There is no VPC peering, private link or on-premises delivery. The two delivery modes are the SaaS API and files.

The other runbooks

  • Quant research — Get TWMD into your research environment without letting a backtest see the future.
  • AI and agent teams — Make every number an agent uses traceable and checkable — and make it say so when it does not know.
  • Model risk and compliance — Be able to say what data the AI used, with evidence that does not rest on trusting the vendor.

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