Institutional
Price × Cumulative Institutional Net
Daily Net Buy/Sell (lots)
Daily Detail
| Date | Close | Foreign | Trust | Dealer | Total |
|---|---|---|---|---|---|
| 09-23 | 426.0 | -44 | -100 | -12 | -157 |
| 09-22 | 430.0 | +454 | -13 | +25 | +466 |
| 09-21 | 427.5 | -374 | -12 | -47 | -433 |
| 09-18 | 437.5 | +1,079 | -11 | -64 | +1,005 |
| 09-17 | 411.0 | -88 | -1 | -19 | -108 |
| 09-16 | 418.5 | -208 | +4 | +31 | -173 |
| 09-15 | 406.0 | -17 | -6 | -16 | -39 |
| 09-14 | 414.0 | +222 | +4 | +42 | +268 |
| 09-11 | 401.0 | -477 | -8 | -4 | -489 |
| 09-10 | 405.0 | -937 | -19 | -22 | -978 |
| 09-09 | 417.0 | -139 | -10 | +15 | -135 |
| 09-08 | 410.0 | -599 | -6 | -20 | -625 |
| 09-07 | 418.0 | -609 | -1 | +9 | -602 |
| 09-04 | 428.5 | -164 | -1 | +6 | -159 |
| 09-03 | 411.0 | -277 | +1 | -17 | -292 |
| 09-02 | 426.0 | +806 | -93 | +25 | +738 |
| 09-01 | 418.5 | +714 | +76 | +20 | +810 |
| 08-31 | 412.5 | -1,062 | -20 | -75 | -1,157 |
| 08-28 | 458.0 | -936 | -620 | -37 | -1,593 |
| 08-27 | 470.5 | -34 | -31 | +4 | -61 |
Auto Read
Latest Day
What is Three Institutional Investors (三大法人) Net Buy/Sell?
Institutional Net Buy/SellThe three major institutional investors in Taiwan's stock market — foreign investors (外資), investment trusts (投信), and dealers (自營商) — move large amounts of capital daily. Tracking their net buy/sell (purchases minus sales) reveals where institutional money is flowing into or out of a stock. Sustained net buying by foreign investors often signals bullish conviction; persistent selling may indicate exits or position reduction. Blave provides daily and historical 三大法人 data with cumulative trend charts.
Latest Day2026-09-23
矽力*-KY(6415)'s latest 三大法人 (institutional investor) net buy/sell was recorded on 2026-09-23 — foreign investors (外資) net -44 lots. Over the past year, 52% of trading days had a foreign daily net buy/sell at or below this level.
Institutional Net Flow by Stock2026-09-23
Source: FinMind (TWSE, TPEx)
How much time do you spend wiring APIs, pulling data, and debugging — instead of thinking about strategy? Describe the signal, and Blave Agent researches and backtests it.
See what Blave Agent can do →