Why 7 in 10 Intraday Traders Lose Money — What SEBI's Data Actually Says

Published 7 July 2026 · Artha Education · ~8 min read

India's market regulator has now published the numbers twice, and they are brutal. This is not an opinion piece — it's the regulator's own data on millions of real trading accounts, and the five mechanical reasons behind it.

The numbers, from the source

• Intraday equity (cash segment): SEBI's July 2024 study found that 7 out of 10 individual intraday traders (71%) made a net loss in FY2023. The study covered clients of the top ten brokers — about 86% of all individual traders. The number of people trading intraday grew over 4× between FY19 and FY23; the loss ratio barely moved.
• Futures & Options: SEBI's September 2024 study found 93% of individual F&O traders lost money between FY22 and FY24 — 1.13 crore traders with aggregate net losses exceeding ₹1.8 lakh crore. The July 2025 update made it worse: 91% lost money in FY25 alone, with net losses of ₹1.05 lakh crore — 41% higher than FY24, even as the number of active F&O traders fell by a third during the year.

Sources: SEBI press release (Sep 2024) · Business Standard on the intraday study · Business Standard on SEBI's FY25 F&O study.

Read that again: this isn't "trading is hard." It's a measured, repeated outcome across crores of accounts. Losing is the default. So the useful question is mechanical, not motivational: what exactly do the 71% do that the 29% don't?

Reason 1: No position sizing — one bad trade undoes twenty good ones

The most common account-killer isn't a bad strategy; it's a good strategy traded in wildly inconsistent size. Win ₹500, win ₹700, win ₹400 — then take one oversized "sure thing" and lose ₹8,000.

The fix is boring and mathematical: risk a fixed small percentage of capital (typically 1%) on every single trade, and let the stop-loss distance determine quantity. When every loss costs the same 1R, no single trade can hurt you. The 1% rule, worked through with real numbers → (or jump straight to the free calculator).

Reason 2: Trading without a defined invalidation point

"I'll exit if it goes against me" is not a stop loss. A real stop is a price level, chosen before entry, where the trade idea is objectively wrong. Without one, small losses become large ones, because the moment of maximum loss is also the moment of minimum objectivity.

The fix: only take setups where the structure gives you a natural invalidation level — a breakout that closes back inside its range is wrong, by definition. How structural stops work →

Reason 3: Ignoring costs

An intraday round trip in the Indian cash market costs roughly 0.1–0.15% of turnover once you add brokerage, STT, exchange charges, GST, stamp duty and realistic slippage. Trade twice a day and that is 4–6% of your capital per month before you've made or lost anything on direction.

SEBI's F&O study made this explicit: transaction costs consumed a significant additional slice of trader P&L on top of trading losses.

The fix: fewer, better trades. A selective strategy that takes one high-conviction setup a day beats a scattergun that takes eight. And any track record you evaluate — including ours — should be net of costs, or it's fiction.

Reason 4: Trading every hour as if it were 9:30 AM

Market behaviour is not uniform across the day. The first 90 minutes carry the volume, the institutional flow, and the follow-through. The midday hours are dominated by noise, and breakouts taken then fail disproportionately. Most losing traders take as many trades at 1 PM as at 10 AM — the market pays them very differently. The intraday clock, mapped →

Reason 5: No record, no feedback loop

Ask a losing trader for their last 30 trades with entries, exits and reasons, and they usually can't produce them. Without a record there is no feedback; without feedback there is no improvement — just the same mistakes with new stocks. The winners journal. The losers remember their wins and forget their losses.

The fix: record every trade, honestly, including the embarrassing ones. This is also the standard you should hold anyone selling trading content to: if they won't show a complete, timestamped record with losses included, assume the worst.

The pattern behind all five

Notice that none of the five reasons is "couldn't predict the market." Prediction isn't the differentiator — discipline infrastructure is: fixed risk per trade, structural stops, cost awareness, time selection, and honest record-keeping. All five are learnable, and all five are checkable before real money is on the line.

That is exactly why paper trading first is not a toy step. It's how you prove — to yourself, with receipts — that your process survives costs and losses before your savings are exposed to it.