Institutional
Price × Cumulative Institutional Net
Daily Net Buy/Sell (lots)
Daily Detail
| Date | Close | Foreign | Trust | Dealer | Total |
|---|---|---|---|---|---|
| 10-16 | 60.4 | -2,499 | +0 | -380 | -2,878 |
| 10-15 | 63.1 | -1,491 | +0 | -192 | -1,683 |
| 10-14 | 65.6 | +3,373 | +0 | +510 | +3,883 |
| 10-13 | 60.9 | +519 | +0 | +25 | +544 |
| 10-12 | 62.2 | +357 | +0 | +54 | +411 |
| 10-08 | 61.0 | -63 | +0 | -140 | -203 |
| 10-07 | 61.9 | +1,528 | +0 | +363 | +1,892 |
| 10-06 | 59.2 | +485 | +0 | +53 | +539 |
| 10-05 | 59.0 | -142 | +0 | -15 | -157 |
| 10-02 | 59.1 | +536 | +0 | +2 | +538 |
| 10-01 | 57.2 | -292 | +0 | -77 | -369 |
| 09-30 | 58.5 | +472 | +0 | +95 | +567 |
| 09-29 | 56.9 | +431 | +0 | +138 | +569 |
| 09-24 | 54.8 | +191 | +0 | -14 | +178 |
| 09-23 | 53.6 | -148 | +0 | -24 | -172 |
| 09-22 | 54.1 | -34 | +0 | +4 | -30 |
| 09-21 | 54.0 | -63 | +0 | -40 | -103 |
| 09-18 | 54.1 | -97 | +0 | -55 | -151 |
| 09-17 | 54.3 | +56 | +0 | -8 | +48 |
| 09-16 | 54.5 | +132 | +0 | -1 | +131 |
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 Day2026-10-16
毅嘉(2402)'s latest 三大法人 (institutional investor) net buy/sell was recorded on 2026-10-16 — foreign investors (外資) net -2499 lots. Foreign investors have net sold for 2 consecutive trading days. Over the past year, 8% of trading days had a foreign daily net buy/sell at or below this level.
Institutional Net Flow by Stock2026-10-16
Source: 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 →