Taiwan institutional-flow breadth seasonality
By calendar month, the average share of stocks the three institutional groups were net buyers of versus net sellers of, since 2012 — a market-breadth read on institutional appetite. The signal is mild (~2pp): only December's net-buy share edges above net-sell. Descriptive statistics only, not a forecast.
- as_of
- 2026-09-04
- Sample period
- 2012-05-02 → 2026-09-04
- Rows
- 12
Methodology
Each trading day gets a "breadth" reading: of the stocks the three institutional groups took any net position in that day, what share they were net buyers of. Those daily readings are averaged within each calendar month, then across years, giving a seasonal profile. It counts STOCKS, not money, so a single heavyweight name cannot tilt the reading the way a NT$ total would. Days that carry only placeholder data are excluded.
Starts May 2012 — about 14 years; the latest month covered is shown as the sample period above, and placeholder months are excluded from it. Read the size honestly: the seasonal effect is mild, around 2 percentage points. Only December's net-buy share edges above its net-sell share, and October–November are the weakest. A version measured in NT$ rather than in number of stocks is a separate statistic. Historical statistics only, not a forecast.
What this means, and how to use it
Use it to size an expectation, and mostly to lower one. The seasonal effect here is about 2 percentage points — only December's net-buy share edges above its net-sell share, and October–November are the weakest. That is far too small to trade on its own, and the honest use is the opposite: if a strategy claims a large seasonal institutional-flow edge, this is the baseline it has to beat. It counts stocks rather than money, so a single heavyweight cannot tilt it. Historical statistics, not a forecast.
Net-buy breadth by month
Data
Download CSV| Month | Net-buy breadth | Net-sell breadth | Years buy>50% | Years |
|---|---|---|---|---|
| Jan | 48.4% | 48.8% | 5 | 14 |
| Feb | 48.6% | 48.7% | 4 | 14 |
| Mar | 48.6% | 48.7% | 4 | 14 |
| Apr | 48.4% | 49% | 5 | 14 |
| May | 48% | 49.4% | 3 | 15 |
| Jun | 47.6% | 49.9% | 4 | 15 |
| Jul | 49.1% | 48.5% | 4 | 15 |
| Aug | 48.7% | 48.7% | 5 | 15 |
| Sep | 48.1% | 49.1% | 2 | 15 |
| Oct | 47.1% | 50.1% | 2 | 14 |
| Nov | 47.5% | 49.7% | 1 | 14 |
| Dec | 49% | 47.9% | 4 | 14 |
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The figures on this page come from the Institutional flow dataset.
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