The Indian market: who trades, who loses, who leads

  1. Analysis of Intraday Trading by Individuals in Equity Cash Segment

    SEBI Department of Economic and Policy Analysis · 2024 · Beginner

    71% of individual intraday traders in the cash market lost money in FY23, rising to 80% for very frequent traders. Under-30s grew to 48% of intraday traders. Based on data from the top 10 brokers.

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  2. Profitability of Individual Traders in the Equity Derivatives Segment (FY25–FY26)

    SEBI Department of Economic and Policy Analysis · 2026 · Beginner

    Individuals' net losses in equity derivatives fell 18% to ₹91,685 crore in FY26 and loss-makers fell to 87.7%, yet those still trading lost slightly more on average. Also measures the effect of SEBI's November 2024 F&O measures.

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  3. Trading Behaviour of Individual Traders in the Equity Derivatives Segment (FY25–FY26)

    SEBI Department of Economic and Policy Analysis · 2026 · Beginner

    97% of individual F&O traders are mainly option buyers and about 90% of them lose money. Option sellers lose less often but far more when they do. A sample-based picture of the retail flow on the other side of index options.

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  4. Futures and options expiration-day effects: The Indian evidence

    Vipul · 2005 · Beginner

    Underlying share prices dip slightly the day before expiry and rise significantly the day after, with abnormally high expiry-day volume, mainly due to arbitrage unwinds and short-selling restrictions.

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  5. When stock futures dominate price discovery

    Nidhi Aggarwal, Susan Thomas · 2019 · Intermediate

    On NSE's highly liquid single-stock futures, futures carry about 55% of the information share around news, rising to 61% on bad news when short-sale limits push informed traders to futures. The leverage-versus-liquidity trade-off decides which market leads.

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  6. The causal impact of algorithmic trading on market quality

    Nidhi Aggarwal, Susan Thomas · 2014 · Intermediate

    Uses the introduction of co-location at NSE as a natural experiment. Stocks with more algorithmic trading show lower liquidity costs, less order imbalance and fewer extreme intraday price moves.

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  7. Low Latency Trading and the Comovement of Order Flow, Prices, and Market Conditions

    Ekkehart Boehmer, R. L. Shankar · 2014 · Intermediate

    Order-level NSE data around the co-location launch: more algorithmic trading reduces commonality in order flow, returns, liquidity and volatility across stocks, which argues against the idea that low-latency trading raises systemic risk.

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