Client vs Proprietary Trading Disclosure
SEBI and NSE required brokers to disclose participant-category-wise open interest data, separating client positions from proprietary positions in F&O, enabling market participants and regulators to monitor the aggregate directional and risk exposure of each category in real time.
The NSE published daily open interest data categorised into four participant groups: FII/FPI, domestic institutions (including mutual funds and insurance companies), proprietary traders (broker own-account positions), and clients (all retail and non-institutional trades aggregated). This categorisation was mandated under SEBI's market transparency and surveillance framework.
The distinction between client and proprietary categories served multiple purposes. From a regulatory standpoint, it allowed SEBI to monitor whether broker proprietary books were building concentrated positions that might indicate front-running of client orders or market manipulation. The separation also enabled academic and practitioner research into how different informed and uninformed participant categories responded to market events.
Market analysts examining the daily data could track whether, for example, retail clients (the dominant component of the 'client' category) were adding net long index futures while proprietary desks were adding net short positions — a divergence historically associated with increased near-term volatility as the two groups' positions were reconciled by price movement.
Seasonally, the client category showed consistent patterns: aggressive call option buying around positive macro events such as election results or Budget expectations, and elevated put buying during global risk-off periods. Proprietary desks, being more sophisticated, often took the other side of these client-driven option flows, serving as the effective market makers who provided liquidity to retail demand.
For individual stock F&O, the client vs proprietary breakdown was less frequently analysed but remained publicly available through NSE data. In concentrated derivatives segments — such as actively traded single-stock options in Reliance Industries, HDFC Bank, or Infosys — the client-proprietary split in open interest could reveal positioning dynamics relevant to stock-specific events such as quarterly earnings or management announcements.