Institutional
Price × Cumulative Institutional Net
Daily Net Buy/Sell (lots)
Daily Detail
| Date | Close | Foreign | Trust | Dealer | Total |
|---|---|---|---|---|---|
| 08-07 | 823.0 | -1,661 | -142 | -199 | -2,002 |
| 08-06 | 853.0 | -2,655 | +2,502 | +50 | -103 |
| 08-05 | 828.0 | +3,198 | +932 | +102 | +4,233 |
| 08-04 | 767.0 | -20 | +235 | +127 | +343 |
| 08-03 | 698.0 | +974 | -1 | +93 | +1,066 |
| 07-31 | 635.0 | -354 | +5 | +34 | -316 |
| 07-30 | 578.0 | -941 | +551 | -196 | -585 |
| 07-29 | 576.0 | -1,958 | +1,856 | +44 | -58 |
| 07-28 | 639.0 | +2,039 | -98 | -70 | +1,871 |
| 07-27 | 710.0 | -253 | -151 | -302 | -706 |
| 07-24 | 711.0 | -1,981 | -969 | +117 | -2,833 |
| 07-23 | 785.0 | -880 | +1,009 | +76 | +205 |
| 07-22 | 796.0 | -742 | +653 | -323 | -412 |
| 07-21 | 746.0 | -1,191 | -73 | -193 | -1,457 |
| 07-20 | 679.0 | -660 | +2,219 | -705 | +853 |
| 07-17 | 693.0 | +1,166 | -146 | -283 | +738 |
| 07-16 | 770.0 | -471 | -11 | +277 | -205 |
| 07-15 | 845.0 | +198 | +34 | +201 | +433 |
| 07-14 | 805.0 | +287 | +2 | -64 | +225 |
| 07-13 | 819.0 | +202 | +186 | +150 | +538 |
Auto Read
Latest Day
What is Three Institutional Investors (三大法人) Net Buy/Sell?
The 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 Day2026-08-07
景碩(3189)'s latest 三大法人 (institutional investor) net buy/sell was recorded on 2026-08-07 — foreign investors (外資) net -1661 lots. Foreign investors have net sold for 2 consecutive trading days. Over the past year, 22% of trading days had a foreign daily net buy/sell at or below this level.
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 →
Dashboard