You request, we deliver. The only platform shaped by an open trader community.
Got a question or a feature you wish existed? Drop it in our Telegram community, the Stolo team is right there reading every message.
Exchange-published data breaking down total open interest by trader category — FII, DII, Pro, and Client — for a given segment.
Participant-wise open interest is a daily dataset published by NSE that splits total open interest in index futures, index options, stock futures, and stock options across four official categories: FII, DII, Pro, and Client. For each category it typically shows the number of long and short contracts, giving a rough map of which type of participant is net long or net short a given instrument at end of day.
This dataset is one of the more transparent windows into institutional behavior available to Indian retail traders, since it is published free by the exchange rather than requiring paid data feeds. Traders commonly build simple end-of-day routines around it: checking whether FII index futures positioning flipped from net long to net short, whether DII flows are offsetting that shift, and whether the more speculative Client and Pro categories are leaning the same way or against the institutional flow, sometimes reading this together with put-call ratio data for options-specific sentiment.
A common analytical approach is to track the category-wise data over several sessions rather than a single day, looking for consistent accumulation or reduction that might signal a building trend — for instance, steady FII long buildup in index futures into a Nifty rally is often read as institutional conviction behind the move, whereas a rally with FIIs flat or short is treated with more suspicion, similar to the caution applied when breadth divergence appears alongside a strong index move.
The main limitation is that this data is aggregated and published only at end of day (not real-time), it does not reveal individual entity behavior or the specific strikes and expiries involved, and category totals mix directional bets with hedges and arbitrage — particularly for Pro and FII flows. Many traders treat it as a useful sentiment overlay to combine with price, breadth, and volatility data, rather than a precise or immediately actionable trading signal on its own.
Got a question or a feature you wish existed? Drop it in our Telegram community, the Stolo team is right there reading every message.