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Indicator library

Valuation, ownership, fundamentals and research tools, grouped so you can find the series you need and try it on a real ticker. Every number is either the official public source shown as-is, or a derivation you can reproduce from it.

Prefer to start from a sector? The Taiwan stock sector index lists all 34 sector classifications covering 1,971 tickers, and each sector page shows every ticker in it with P/E, P/B and dividend yield from that day's snapshot.

Want the historical base rate of how prices behaved after a given filing? See Event study statistics — 27 categories of Taiwan stock filings with their historical abnormal returns, CAR and BHAR benchmarks side by side, flagged where the two disagree.

Want to chart one first? The valuation river chart plots eight percentile bands from a ticker's own PER, PBR or dividend-yield history, each point computed from the snapshot available on that date — free on the demo ticker, no signup.

Or start with one ticker's whole picture: the stock checkup puts seven dimensions of public disclosure — financial quality, valuation percentile, revenue momentum, ownership concentration, insider pledges, disposal filings and buybacks — on a single page, each as a traffic light with one plain sentence and no composite score.

Tracking who holds the float? The cross-source ownership timeline lays weekly mega-holder distribution, insider transfer filings, director pledge changes and buyback windows on one axis, each placed on the date it became available rather than the date it describes — free on the demo ticker.

Weighing several names against each other? The multi-stock comparison dashboard puts up to four tickers on one axis across ROE, gross margin, revenue growth, valuation percentile, dividend yield and mega-holder ratio, with a latest-value table underneath — and the comparison set is carried in the URL, so a shortlist is a link you can send.

New to this market? Taiwan requires every listed company to file its previous month's revenue by the 10th, which most markets have no equivalent for. The monthly revenue momentum chart turns that filing into a level read — 3-month against 12-month moving averages with year-over-year growth — free on the demo ticker.

Running a backtest on Taiwan names? An ex-dividend date drops the price by the payout, and a return computed on raw prices books that as a loss. The backward-adjusted price chart puts the adjusted candles against the raw close with the per-day adjustment factor, and puts a number on how much a raw-price return understates the holding period — free on the demo ticker.

Watching leverage rather than valuation? The market-wide margin maintenance ratio stopped being published as an official statistic and largely vanished from the public record. The market margin maintenance ratio is rebuilt here from the public daily files, unbroken from 2004, with the 140 percent warning band drawn and every approximation written out — free, no signup. Its companion on the sentiment and participation side is the market heat dashboard: day trading share of turnover for both boards since 2014, and the advance-decline line drawn against the index so you can see whether a rally is broad or has narrowed to a handful of names.

Both of those read the market from the inside. For the backdrop they sit in, the macro regime chart puts the official five-colour business cycle signal behind narrow and broad money supply growth, with every crossing between the two marked. The cycle series runs monthly from 1986, which makes it the longest continuous history on this site — free, no signup, no per-ticker limits.

Working bottom-up instead? The financial ratio time series puts fifty-three ratios per ticker — profitability, balance sheet safety, growth and a DuPont decomposition with its ROE cross-check — recomputed from the official quarterly filings, with every observation gated on the legal disclosure date so a screen built on it cannot read a quarter before it was public.

And when the question is finally what the thing is worth, three valuation models run side by side on the same ticker — discounted cash flow, Gordon dividend discount and the Peter Lynch fair value — each returning a pessimistic to optimistic range rather than a single figure, with growth, discount rate and terminal growth on sliders that map straight onto the endpoint's query parameters. The assumption set is printed next to the answer, including which inputs are derived rather than filed.

Starting from the other end — no ticker in mind yet — the cross-source screener intersects consecutive sessions of foreign institutional net buying with a cheap valuation percentile and returns the numbers that caused each hit. It also reports how many tickers were actually scanned on every call, because the two underlying panels do not cover the same universe and an empty table should read as coverage rather than as a verdict on the market. We publish our own negative backtest of the combination alongside it.

Back on the ownership side, the timeline above reads filings as events. For the level they add up to, the insider and mega-holder ownership levels chart plots the combined board shareholding filed every month — a running level, which most markets do not publish — against the weekly share of the float held by accounts over a thousand lots, with the insider pledge ratio on its own axis. Where the percentage denominator is derived rather than filed, the chart says so on every call.

Valuation

Where a stock sits against its own history

Ownership and flows

Who is buying, who is stepping back

Taiwan Shareholder Distribution (TDCC 15 Brackets)

Taiwan shareholder-distribution lookup: official TDCC 15-bracket data structured into mega-holder ratio, retail ratio and concentration change — weekly, snapshot-stamped. A data tool, not a signal.

Taiwan Institutional Net-Buy Streak

Free Taiwan institutional net-buy streak lookup: foreign / trust / dealer consecutive same-sign days, refreshed daily from official sources, snapshot-stamped. A data tool, not a trading signal.

Chip Concentration

Taiwan chip-concentration API: HHI concentration and mega-holder weekly deltas computed from official weekly holder-distribution filings. Deterministic, open formulas, availability-date stamped. A data tool, not stock picks.

Institutional Cost Line

Taiwan institutional cost-line API: volume-weighted cost estimate from official daily institutional flows and closing prices. Open methodology, deterministic, explicitly labelled an estimate. A data tool — not a support guarantee.

Retail–Mega Holder Divergence

Taiwan retail–mega divergence API: weekly deltas of mega-holder (1,000+ lot) vs retail share computed from official holder-distribution filings. Deterministic, availability-date stamped. A data tool, not stock picks.

Institutional Net-Buy Intensity

Taiwan net-buy intensity API: official daily institutional flows normalized by trading volume, returning rolling intensity and z-scores comparable across large and small caps. Deterministic, open formulas. A data tool, not stock picks.

Fundamentals

Whether the business actually earns its keep

Research tools

Screening, indicators and event base rates

How this library is organised

01

Grouped by the question you are asking

The five groups map to the questions a researcher actually asks — who is buying, is it expensive, does the business earn, is my backtest clean, what is the macro backdrop — not to how the data is stored.

02

Every entry links to something you can run now

Cards lead to working tools, not documentation. Type a ticker and the chart draws. The demo ticker runs with no signup, so you can see the shape of the data before deciding whether to go deeper.

03

Every historical point is the version available that day

All series here sit on the snapshot layer: a figure appears on a date only if it was computable on that date, and later corrections are not folded back. That is the foundation of the whole library, not a premium add-on on a few pages.

04

Limits are stated on the page, not buried in terms

Each page says what it can and cannot answer. Where our own backtests found no significant edge in a popular combination, the page says so.

Terms in plain English

Point-in-timePIT
Each historical date keeps the data version that was available then. In plain terms: look back at last year and you see what was actually on the screen last year, not the restated version.
Look-ahead biasFuture function
A backtest using information that did not exist yet at that point. In plain terms: answering last year's exam with this year's answer key — the score is real, the performance is not repeatable.
PercentileRank in own history
Where a value sits within its own historical distribution. In plain terms: not 'is it expensive', but 'how high is it standing compared with its own past'.
Base rateHistorical frequency
What typically followed that category of event in the past. In plain terms: this filing happened a hundred times before, here is what usually came next — background context, not a forecast for this one.

Common questions

Where does the data come from?

Taiwan's official public disclosures: the exchange, the OTC market, the public filing observatory and the central depository. Every number is either reproduced as published or derived by a formula we document on the feature page, so you can recompute it from the raw filing.

How much of this is free?

Every page in the library opens and runs its full chart on the demo ticker with no signup. Single-indicator queries are open on the whole universe for free accounts. As-of history, arbitrary cross-source screening conditions and bulk market-wide pulls are paid tiers.

Why do your numbers differ from my broker's terminal?

Most terminals show the latest restated figures — corrections, dividend adjustments and share-count changes get folded back into history. Here each historical point keeps the version that was actually publishable on that date. That difference is the line between an honest backtest and one that peeked at the future.

Can I use these as trading signals?

No, and we do not sell signals. Everything here is a historical statistic or a current disclosure rendered as-is. Even the event-study base rates only say what happened on average after that kind of filing. Where our own backtests found no statistically significant edge, the feature page says so in plain words.

What happens when a value is missing?

It stays missing. Nothing is filled, interpolated or carried forward. Sources publish at genuinely different rhythms — quarterly for statements, monthly for revenue, daily for market data — and forcing them onto one grid invents numbers that never existed.

What we ship is data and tools, not investment advice and not a recommendation. Every trading decision, and its outcome, is yours.