GUIDE 22 / 67 · Session data

FII / DII Activity

Daywise FII, DII and stored BSE participant cash-market flows, with Daily, Monthly and Yearly views, a net-flow chart and a full-day participant breakup.

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What you can do here

This page reads two stored archives. The headline FII and DII Daily, Monthly and Yearly series comes from Prime's imported FII/DII dataset. The BSE participant tabs (MF, Prop, AIF, PMS, Retail) and the full-day 13-category breakup both read the same stored flows archive: a participant tab shows one category's series, and opening a daily date shows every reported category for that session. The two archives need not share the same dates, totals or category definitions. Daily shows one stored session per row; monthly and yearly rows sum the stored buy, sell and net figures rather than averaging them. The main table shows Date and net Amount only; use the full-breakup page for gross buy, gross sell and every reported category.

  • Switch between FII, DII and the stored BSE participant categories: MF, Prop, AIF, PMS and Retail.
  • Compare latest and five-period net figures, then open a daily row for the full 13-category breakup.

A look inside FII / DII Activity

Historical capture
FII / DII Activity / terminal capture
The 11 Nov 2026 desktop capture shows the loaded FII view: latest and five-session cards, the 60-session net-flow chart and the first table rows. It replaces an earlier capture that only showed an Unable to load state.

From numbers to understanding

  1. 01

    FII and DII are separate sides. Amount is net flow in ₹ crore — green positive, red negative — not gross turnover.

  2. 02

    Monthly and yearly rows are sums of the stored sessions, with the session count shown under the date; they are not averages.

  3. 03

    The 5-session, 5-month or 5-year card adds the five latest points of the selected period, not five calendar days.

  4. 04

    Daily dates open the full breakup. The five BSE participant tabs are always shown; a tab with no stored rows returns an empty series.

What the full breakup adds

A daily date opens a separate page with gross buy, gross sell and net for the 13 reported categories: FII/FPI, DII, Clients, NRI, Proprietary, Banks, Insurance, Mutual Funds, AIF, PMS, FPI, Retail and Others. FII/FPI and DII are marked institutional, and the page adds an institutional total plus a total for the remaining reported categories. It is not a stock-level trade log, and category labels follow the source.

Why the screens can differ

The headline FII/DII series is served from Prime's imported FII/DII dataset. The BSE participant tabs and the full-day 13-category breakup both read the same stored daily flows archive: the tabs show one category's history, while the breakup page shows every category for one session. They can differ in dates and coverage, but they are not two independent participant datasets. Prime does not force the headline series and the flows archive to match, so check each screen's own date and scope before comparing figures.

Periods and coverage

The stored daily archive begins in 2026. Monthly and yearly rows sum whatever stored sessions are present, so a partial month or year is not comparable with a complete one. The chart shows the latest 60 daily sessions, 24 monthly points or 12 yearly points for the selected series.

9 NOVEMBER 2026 SESSION

Terminal-displayed example

The 11 Nov 2026 member capture showed 191 daily FII points. On 9 Nov 2026, FII net was +₹7,212.22 Cr (gross buy ₹20,310.99 Cr; gross sell ₹13,098.77 Cr) and DII net was −₹7,172.53 Cr. The five-session cards showed FII +₹43,220.50 Cr and DII −₹27,998.31 Cr. The chart covered the latest 60 sessions; the first page showed 25 of 191 rows. These are historical member-terminal values, not live quotes or a recommendation.

Historical figures transcribed from the captured terminal; the source screen’s date and scope apply. Not current market data.
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What this does not tell you

Participant totals are not a stock-specific ownership ledger. The headline FII/DII series and the stored flows archive are separate sources, so do not add their figures together or assume identical rows, dates and category definitions.

Analysis, not advice. Past performance does not predict future results. Examples are illustrative; prices, scores and counts may have changed.

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Terminal snapshot

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