A SEBI study reveals that small retail traders holding equity portfolios below Rs 1 lakh carried 70% of total retail F&O losses in FY26, totaling Rs 91,685 crore. Meanwhile, algorithmic proprietary desks earned Rs 44,000 crore, highlighting a growing technological divide in India's equity options market.
A comprehensive study released by the Securities and Exchange Board of India (SEBI) revealed that individual retail traders with equity portfolios of less than Rs 1 lakh absorbed nearly 70% of total retail losses in the futures and options (F&O) market during the fiscal year 2026. In stark contrast, institutional proprietary trading desks generated gross trading profits of approximately Rs 44,000 crore over the same period.
The study, conducted by SEBI’s Department of Economic and Policy Analysis, analyzed client-level trading records across the top 15 brokerage firms representing 90% of active individual traders in India. The regulatory findings highlight a structural divide in India's equity derivatives ecosystem, where under-capitalized retail investors buying short-dated options routinely trade against high-frequency, algorithm-driven institutional participants.
Small Traders Bear Heavy Burden Amid Declining Participation
According to SEBI data, around 78% of active individual equity derivatives traders maintained equity portfolios valued under Rs 1 lakh, with 35% holding no underlying equity portfolios at all. Despite accounting for only half of total retail turnover, these small-portfolio traders accumulated approximately 70% of all retail losses.
Overall retail participation cooled in FY26. Active individual traders dropped by 20% to 78.6 lakh from 98.1 lakh in FY25, while new market entrants fell by 40%. Despite this decline, aggregate net retail losses remained high at Rs 91,685 crore, compared to Rs 1.12 lakh crore in the prior fiscal year. Nearly nine out of ten retail traders—87.7%—ended FY26 in the red, with the average net loss per loss-making trader rising to Rs 1.17 lakh.
Institutional Desks and Algorithmic Trading Lead Profitability
While individual participants suffered widespread capital erosion, institutional and corporate entities posted major profits:
Proprietary Trading Desks: Generated the highest gross trading profit at approximately Rs 44,000 crore.
Foreign Portfolio Investors (FPIs): Secured Rs 14,000 crore in gross profits.
Corporates: Earned Rs 8,000 crore.
Mutual Funds & Partnership Firms/LLPs: Recorded profits of roughly Rs 3,000 crore each.
SEBI emphasized that 99% of all profits made by FPIs and proprietary desks were generated by algorithmic trading entities. Institutional traders utilized high-speed execution systems, quantitative pricing models, and sophisticated risk controls, creating a sharp execution gap over manual retail traders using mobile apps.
Short-Dated Options and Strategy Imbalances Drive Losses
Options trading accounted for 92% of all retail losses. SEBI observed that 97% of individual market participants relied predominantly on option-buying strategies, where rapid time decay before contract expiration frequently depleted capital. Conversely, option sellers—who represented only 2% of retail participants—were the sole strategy group to log positive median returns on capital employed.
Trading activity remained heavily concentrated around expiry dates. Approximately 59% of index options turnover occurred in contracts expiring on the same day, while 75% was in contracts expiring within 24 hours. SEBI noted that time value decay on near-expiry contracts rapidly compound financial damage for under-capitalized retail traders.
Official Sources Section
According to official announcements and data releases from the Securities and Exchange Board of India (SEBI), the regulatory study reflects client-level transactions collected directly from major brokerage firms and market infrastructure institutions to track systemic market participation and financial outcomes.
Quote Section
"According to officials at SEBI, algorithmic trading entities accounted for 99% of the profits made by foreign portfolio investors and proprietary desks, underlining how technology and execution speed dictate financial outcomes in complex derivatives markets."
Why It Matters
The SEBI study illustrates the structural risks confronting retail investors trading equity derivatives without adequate capital or risk-management infrastructure. For individual traders, the findings show that experience alone does not eliminate losses, as 90% of traders who incurred consecutive yearly losses continued to lose money in subsequent years. For regulatory authorities and policy makers, the persistent loss patterns among low-income and small-portfolio investors reinforce the need for strict suitability standards, elevated margin requirements, and enhanced risk disclosures on short-dated derivative products.
Key Facts at a Glance
Retail Concentration: Traders with equity portfolios under Rs 1 lakh carried nearly 70% of all retail F&O losses in FY26.
Institutional Profits: Proprietary desks recorded Rs 44,000 crore in gross profits, while FPIs earned Rs 14,000 crore.
Algorithmic Dominance: Algorithmic trading entities generated 99% of profits earned by institutional and proprietary participants.
Loss Ratios: 87.7% of individual traders incurred net losses totaling Rs 91,685 crore, averaging Rs 1.17 lakh per trader.
Option Buying Risk: Options buying accounted for 92% of all individual retail losses, driven largely by 0DTE (zero-day-to-expiration) contracts.
Frequently Asked Questions
What percentage of small retail traders lost money in F&O during FY26?
SEBI reported that 87.7% of individual retail traders incurred net financial losses in the equity derivatives segment in FY26, with traders holding under Rs 1 lakh in equities carrying 70% of aggregate retail losses.
How much profit did proprietary trading desks make compared to retail losses?
Proprietary trading desks achieved gross profits of Rs 44,000 crore in FY26, while retail traders posted cumulative net losses of Rs 91,685 crore.
Why do option buyers face higher loss rates than option sellers?
Option buyers face rapid time value erosion (theta decay) as contracts approach expiration. Options must move significantly in direction, magnitude, and timing to break even after factoring in transaction costs.
What role did algorithmic trading play in F&O market profits?
Algorithmic trading was responsible for 99% of profits earned by proprietary desks and Foreign Portfolio Investors (FPIs), leveraging automated execution and quantitative strategies.
Source: Securities and Exchange Board of India (SEBI), National Stock Exchange of India (NSE), and official regulatory filings.
