FII DII Data Today: Understand the Flows and Ask Your AI

FII DII data today is one of the first things many Indian investors check after the market closes. It tells you whether foreign institutional investors (FIIs) and domestic institutional investors (DIIs) were net buyers or sellers in the session. This guide explains what the numbers mean, how to read monthly trends and sector-wise FPI flows, and how to ask your AI assistant for FII data directly through the Tapetide MCP server instead of hunting through tables.

#What FII and DII data actually measures

Two groups dominate institutional activity in Indian equities:

• FIIs (foreign institutional investors). Overseas funds, pension plans, sovereign funds and other foreign portfolio investors. The current regulatory term is FPI, but daily reports still commonly say FII.
• DIIs (domestic institutional investors). Indian mutual funds, insurance companies, banks and domestic pension funds.

For each trading day you get three figures per group: gross purchases, gross sales and the net value (purchases minus sales). Values are usually in crore.

#Reading net buy and net sell

• A positive net figure means the group bought more than it sold. That is net buying.
• A negative net figure means net selling.
• The two groups often move in opposite directions. Heavy FII selling is frequently absorbed by DII buying, which is why the market can hold steady on a day with large foreign outflows.

A single day rarely tells you much. One large block trade or index rebalance can swing the figure. The useful signal is in the trend.

#Cash segment vs derivatives

The headline FII/DII numbers refer to the cash segment, meaning actual buying and selling of shares. Foreign investors also take positions in index and stock futures and options. Those derivatives positions can point in a different direction from cash flows, for example a fund selling shares while holding index futures as a hedge. When you see a big cash number, it is worth checking the derivatives split before drawing conclusions.

#Monthly running totals

Adding daily net values over a month gives a running total. This smooths out noise and shows sustained behaviour, such as several consecutive months of foreign outflows or steady domestic inflows from systematic investment plans. Most commentary about "FIIs selling" or "DIIs supporting the market" refers to these monthly or multi-month totals.

#Getting FII DII data inside your AI

An AI assistant without a data connection will answer from training data, which means FII figures that are weeks or months old. Connecting it to the Tapetide MCP server lets it fetch current flows on request. Setup takes a few minutes in most clients:

• ChatGPT: Settings → Apps → Developer mode → Create app with https://mcp.tapetide.com/mcp and OAuth.
• Claude.ai: Settings → Connectors → Add custom connector with the same URL.
• Claude Code, Cursor and VS Code: add the server to your MCP config.

{
  "mcpServers": {
    "tapetide": { "url": "https://mcp.tapetide.com/mcp" }
  }
}

Sign in with Google when prompted. The MCP overview lists every supported client.

#The three tools that matter

• get_fii_dii_flows: daily FII and DII cash market flows with gross buy, gross sell and net values. This is the one to use for "FII DII data today" and recent trends.
• get_fii_dii_detail: a more detailed breakdown, useful for segment-level views such as derivatives positioning alongside cash flows.
• get_fpi_sectors: sector-wise FPI allocation and flows, so you can see which sectors foreign investors are adding to or reducing.

You do not need to name the tools. Ask in plain language and the assistant picks the right one. Naming them can help when you want a specific view.

#Six prompts to try

Copy these into your assistant once Tapetide is connected.

1. Show FII and DII net cash market flows for the latest trading day.
   Include the date and whether each group was a net buyer or seller.

2. Give me daily FII and DII net flows for this month as a table,
   with a running month-to-date total for each group.

3. Compare monthly FII and DII net flows for the last 12 months.
   Which months had the largest foreign outflows, and did DIIs offset them?

4. Using get_fii_dii_detail, show how FII derivatives positioning
   compares with their cash market flows over the last two weeks.

5. Using get_fpi_sectors, list the sectors with the largest FPI inflows
   and outflows in the latest period. Include the reporting period dates.

6. Summarise FII and DII behaviour over the last 30 trading days in
   five bullet points, then show the raw daily numbers underneath.

Asking for raw numbers under a summary is a good habit. It lets you check the narrative against the data.

If an answer looks off, ask a follow-up such as "which tool did you use and what date range did it return?" Assistants occasionally summarise a shorter window than you asked for, or mix provisional and final figures. A quick check of the period and units usually clears it up, and you can then rerun the prompt with tighter wording.

#Adding context: valuations and volatility

Flows mean more when you know the backdrop. Two tools help here:

• market_valuations: market-level valuation measures such as index P/E and related ratios over time. Heavy foreign selling when valuations are stretched reads differently from selling when the market is already cheap by its own history.
• get_india_vix: the India VIX volatility index. Large outflows during a VIX spike often reflect broad risk-off moves rather than India-specific concerns.

A combined prompt:

Show monthly FII and DII net flows for the last 6 months alongside
Nifty 50 P/E and the average India VIX for each month. Describe any
relationship you see, and state the date of each data source.

You can also add get_index_performance to line flows up against how the Nifty 50 or Bank Nifty actually moved. The market valuation insight page shows the valuation history visually.

#Where to see the same data on the website

If you prefer charts to chat, the FII/DII data page shows daily flows and monthly totals in one place. It draws on the same data as the MCP tools, so you can use it to cross-check what your assistant reports. Stock-level institutional ownership is on each stock page, for example /stocks/RELIANCE, and you can ask your assistant for the same with get_shareholding.

#Caveats on timing and interpretation

• Reporting lag. Daily institutional flow figures are published after the session closes, so "today" often means the previous session until evening. Provisional figures can be revised later.
• Sector data is slower. Sector-wise FPI data follows a periodic reporting cycle, not a daily one. Always check the period it covers.
• Ask for dates. Tell your AI to include the observation date for every figure. This is the simplest guard against mixing up sessions.
• Not a live feed. The data is for research, not intraday trading signals.
• Correlation is not a forecast. Institutional flows describe what large investors did. They do not tell you what the market will do next.

Everything above is educational. FII/DII flows are one input among many, and nothing your AI returns should be read as a recommendation to buy or sell.

#Free usage

The free plan includes 50 successful tool calls per day and up to 1,000 per month. A single question, like the valuation and VIX prompt above, may use three or four calls. Higher limits are on the pricing page.