Institutional
Price × Cumulative Institutional Net
Daily Net Buy/Sell (lots)
Daily Detail
| Date | Close | Foreign | Trust | Dealer | Total |
|---|---|---|---|---|---|
| 10-15 | 25.6 | +1,344 | +0 | -152 | +1,192 |
| 10-14 | 25.7 | +730 | +0 | +0 | +730 |
| 10-13 | 25.5 | +1,084 | +0 | -10 | +1,074 |
| 10-12 | 25.2 | +325 | +0 | -40 | +285 |
| 10-08 | 25.0 | +123 | +0 | -10 | +113 |
| 10-07 | 25.2 | +698 | +0 | -24 | +674 |
| 10-06 | 24.5 | +1,051 | +0 | +3 | +1,054 |
| 10-05 | 24.0 | -319 | +0 | +0 | -319 |
| 10-02 | 24.2 | -36 | +0 | -11 | -47 |
| 10-01 | 24.1 | -1,330 | +0 | +20 | -1,310 |
| 09-30 | 24.6 | +409 | +0 | +16 | +425 |
| 09-29 | 24.2 | -881 | +0 | +13 | -868 |
| 09-24 | 24.9 | +403 | +0 | -16 | +387 |
| 09-23 | 24.9 | +56 | +0 | +4 | +60 |
| 09-22 | 25.0 | +970 | +0 | +5 | +975 |
| 09-21 | 24.6 | -57 | +0 | -25 | -82 |
| 09-18 | 24.8 | -209 | +0 | +72 | -137 |
| 09-17 | 25.0 | +733 | +0 | +8 | +741 |
| 09-16 | 24.4 | -161 | -75 | -42 | -278 |
| 09-15 | 24.4 | -81 | -192 | -3 | -276 |
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 Day2026-10-15
正隆(1904)'s latest 三大法人 (institutional investor) net buy/sell was recorded on 2026-10-15 — foreign investors (外資) net +1344 lots. Foreign investors have net bought for 7 consecutive trading days. Over the past year, 93% of trading days had a foreign daily net buy/sell at or below this level.
Institutional Net Flow by Stock2026-10-15
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 →