Institutional
Price × Cumulative Institutional Net
Daily Net Buy/Sell (lots)
Daily Detail
| Date | Close | Foreign | Trust | Dealer | Total |
|---|---|---|---|---|---|
| 09-23 | 10.1 | +42 | +0 | -3,375 | -3,333 |
| 09-22 | 10.1 | +849 | +0 | +447 | +1,296 |
| 09-21 | 10.0 | +2 | +0 | -2,913 | -2,910 |
| 09-18 | 10.0 | -4 | +0 | -5,465 | -5,469 |
| 09-17 | 10.0 | +31 | +0 | -7,482 | -7,451 |
| 09-16 | 10.0 | +9 | +0 | -8,951 | -8,942 |
| 09-15 | 10.0 | +833 | +0 | -8,393 | -7,560 |
| 09-14 | 10.0 | +25 | +0 | -7,566 | -7,541 |
| 09-11 | 10.0 | -62 | +0 | -16,304 | -16,365 |
| 09-10 | 10.0 | -1,853 | +0 | -16,843 | -18,696 |
| 09-09 | 10.1 | +8 | +0 | -9,484 | -9,476 |
| 09-08 | 10.1 | +5 | +0 | -5,086 | -5,081 |
| 09-07 | 10.1 | -253 | +0 | -5,728 | -5,981 |
| 09-04 | 10.2 | -9 | +0 | -77 | -86 |
| 09-03 | 10.1 | +1 | +0 | -7,439 | -7,438 |
| 09-02 | 10.0 | +7 | +0 | -15,279 | -15,272 |
| 09-01 | 10.1 | +17 | +0 | -15,162 | -15,145 |
| 08-31 | 10.1 | -1,342 | +0 | -18,590 | -19,932 |
| 08-28 | 10.1 | -74 | +0 | -13,971 | -14,044 |
| 08-27 | 10.2 | -96 | +0 | -9,244 | -9,340 |
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
貝萊德世界股票(009826)'s latest 三大法人 (institutional investor) net buy/sell was recorded on 2026-09-23 — foreign investors (外資) net +42 lots. Foreign investors have net bought for 3 consecutive trading days.
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 →