FIPI and LIPI data helps a Pakistan Stock Exchange investor answer a question that a price chart cannot answer by itself: which broad investor groups were net buyers and which were net sellers? NCCPL publishes foreign and local investor portfolio information by client category and market segment. KseAlert organizes that clearance data into a multi-session FIPI/LIPI dashboard with sector trends. It is useful context, but it is not a forecast and it does not identify the motive behind every trade.
What FIPI and LIPI mean
FIPI is commonly used for foreign investor portfolio activity, while LIPI describes local investor portfolio activity. The published categories let investors examine buying, selling, net volume, and net value for groups rather than relying on a general claim that "foreigners" or "institutions" moved the market.
| View | Examples of participant categories | Question it can help answer |
|---|---|---|
| FIPI | Foreign corporates, foreign individuals, and overseas Pakistanis | Were foreign participant groups net buyers or sellers over the selected period? |
| LIPI | Mutual funds, banks and DFIs, insurance companies, companies, brokers, local individuals, and other local organizations | Which local groups supplied shares or absorbed selling? |
| Sector view | Commercial banks, cement, fertilizer, technology, exploration and other PSX sectors | Was the flow broad, or concentrated in a small part of the market? |
Category definitions and reporting formats can change. Use the current NCCPL market-information page as the controlling reference and check the date and market type before comparing two figures.
How net flow is calculated
At a simple level, net value is purchase value minus sale value for the selected category, market, and period. A positive number means the category bought more than it sold; a negative number means it sold more than it bought. KseAlert presents the dashboard's net flow in USD equivalent alongside the underlying market context.
Every completed trade still has a buyer and a seller. One group's outflow must be absorbed elsewhere, and the investor categories describe participation rather than the quality of the shares exchanged. Net buying also does not show the group's total holding, average purchase price, investment horizon, hedges, or reason for trading.
How studying FIPI/LIPI can benefit an investor
- Measure participation behind an index move: an index rise supported by several investor classes and sectors has different breadth from a rise driven by a few large constituents.
- Identify sector rotation: repeated inflows into one sector and outflows from another can highlight where attention is moving before researching individual companies.
- See who absorbs pressure: local mutual funds, companies, banks, or individuals may absorb foreign selling, helping explain why the market remains stable despite a negative FIPI headline.
- Test market commentary: compare claims about foreign or institutional interest with the official category data rather than repeating an unsourced narrative.
- Improve risk awareness: persistent outflows, narrow participation, or a sharp reversal can prompt a review of liquidity, position size, and the assumptions behind a trade.
A step-by-step FIPI/LIPI dashboard workflow
- Open the KseAlert FIPI/LIPI dashboard and confirm the latest available session.
- Select a range of several trading sessions. A five-day or longer view usually provides more context than one isolated day.
- Read the market-wide net flow, then switch between FIPI and LIPI to see which side and participant group absorbed it.
- Compare the top sector inflow and outflow with the sector's price performance and the KSE-100 trend.
- Expand a sector and examine whether the flow is concentrated in one participant category or shared by several.
- Open relevant stock pages and review liquidity, charts, financials, and announcements before forming a company-level conclusion.
- Write down what the flow supports, what it contradicts, and which additional evidence is still missing.
How to interpret common patterns
| Observed pattern | Possible interpretation | What to verify next |
|---|---|---|
| Index rises while FIPI is negative | Local participants may be absorbing foreign selling, or heavyweight shares may be offsetting weaker breadth | LIPI categories, sector flows, market breadth, and index contributors |
| FIPI turns positive for several sessions | Foreign participation has improved over that period | Whether inflow is broad, the sectors involved, currency conditions, and company catalysts |
| One sector receives repeated net inflow | Capital may be rotating toward that industry | Company results, valuation differences, news, liquidity, and whether price already discounts the thesis |
| A single day shows a very large flow | A block, rebalance, or event may have affected the figure | Several surrounding sessions, market type, announcements, and unusual transactions |
| Price rises but the relevant flow weakens | The rally may be driven by another participant group or becoming narrower | Volume, breadth, UIN settlement, stock-specific filings, and follow-through |
Hypothetical example
Assume foreign categories record a combined net sale of USD 5 million over five sessions, while local mutual funds and companies record net purchases of a similar amount. During the same period, commercial banks receive inflows but technology records outflows. The useful conclusion is not "foreign selling is bearish" or "mutual funds are always right." The evidence says local groups absorbed the foreign supply and that participation differed by sector.
The next step is to inspect the companies behind the sector movement. Check whether results, dividends, regulation, interest-rate expectations, currency exposure, or index changes explain the flow. A hypothetical pattern becomes investable research only after it is connected to a specific business, valuation, and risk limit.
Combine flow data with settlement and fundamentals
FIPI/LIPI tells you about participant categories and sector flows; UIN settlement analysis helps examine how much symbol-level trading remains for settlement after UIN-wise netting. Use the two datasets for different questions. Then read the company research guide and verify the latest official filings.
A practical sequence is fundamentals and announcement first, price and volume second, FIPI/LIPI for participant context third, and UIN settlement for delivery context fourth. Position size and invalidation still come from the investor's financial capacity and thesis, not from a dashboard color.
Mistakes to avoid
- Trading from one session without checking a multi-day trend.
- Calling every institutional category "smart money" or assuming it cannot be wrong.
- Using a sector-level flow to claim that every stock in the sector was accumulated.
- Ignoring futures, market type, currency conversion, data timing, or later revisions.
- Confusing net purchases with total ownership or a new long-term position.
- Chasing a price after the flow is already widely discussed.
Investor checklist
Before using FIPI/LIPI in a decision, record the date range, investor category, market type, net value, affected sectors, price and volume response, UIN settlement behaviour, relevant company announcement, valuation, and the evidence that would invalidate your interpretation. This turns an interesting statistic into a repeatable research process.