Institutional
Price × Cumulative Institutional Net
Daily Net Buy/Sell (lots)
Daily Detail
| Date | Close | Foreign | Trust | Dealer | Total |
|---|---|---|---|---|---|
| 09-29 | 40.6 | +236 | +0 | -6 | +230 |
| 09-24 | 40.6 | +158 | +0 | -100 | +58 |
| 09-23 | 40.5 | +72 | +0 | +0 | +72 |
| 09-22 | 40.5 | -122 | +0 | -114 | -236 |
| 09-21 | 40.5 | +40 | +0 | -594 | -554 |
| 09-18 | 40.6 | +188 | +0 | -875 | -687 |
| 09-17 | 40.7 | +35 | +0 | -142 | -107 |
| 09-16 | 40.6 | -285 | +0 | -145 | -430 |
| 09-15 | 41.2 | +192 | +0 | -406 | -214 |
| 09-14 | 41.0 | +22 | +0 | -365 | -343 |
| 09-11 | 40.9 | -63 | +0 | -221 | -284 |
| 09-10 | 40.7 | +166 | +0 | +362 | +528 |
| 09-09 | 40.7 | +0 | +0 | -229 | -229 |
| 09-08 | 40.8 | +8 | +0 | -877 | -869 |
| 09-07 | 40.9 | -75 | +0 | -707 | -782 |
| 09-04 | 41.0 | -5 | +0 | -217 | -222 |
| 09-03 | 41.0 | -216 | +0 | -205 | -421 |
| 09-02 | 41.0 | +174 | +0 | -180 | -6 |
| 09-01 | 40.9 | -173 | +0 | -218 | -391 |
| 08-31 | 41.0 | +224 | +0 | -379 | -155 |
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 Day2026-09-29
群益0-1年美債(00859B)'s latest 三大法人 (institutional investor) net buy/sell was recorded on 2026-09-29 — foreign investors (外資) net +236 lots. Foreign investors have net bought for 3 consecutive trading days. Over the past year, 85% of trading days had a foreign daily net buy/sell at or below this level.
Institutional Net Flow by Stock2026-09-29
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 →