Supertrend −₹1.19 Cr, Open=Low −₹31 L, Camarilla −₹2.27 Cr. All three lose in every period.
Ask any Indian intraday Telegram group for a setup and you’ll hear one of these three. We tested each in its most common form, with no tweaking:
- Supertrend (10, 3) on 15-minute candles. Go long when it flips up, short when it flips down. The opposite flip reverses the position, and everything closes at 15:15.
- Open = Low / Open = High. At 09:25, if a stock’s day low is still its open (within 0.1%) and it’s trading above the open, buy, with a stop just under the day’s low. Mirror for Open = High shorts.
- Camarilla fade. From yesterday’s range, sell the first touch of H3 (stop at H4) and buy the first touch of L3 (stop at L4). Hold to 15:15.
Every NIFTY 50 stock on the days it was in the index, ₹5 lakh per trade, discount-broker and statutory charges plus 1 bp of slippage on each fill.
Each one earns something before costs, and none earns enough to pay for a round trip (~6.5 bps).
| Variant | Trades | Gross / trade | Win % | Net after costs | +3 bps slippage | 2016-20 | 2021-23 | 2024-26 |
|---|---|---|---|---|---|---|---|---|
| Supertrend (10, 3) on 15-min candles | 70,319 | 3.1 bps | 45.8% | −₹1.19 Cr | −₹3.30 Cr | −₹33.0 L | −₹47.4 L | −₹38.9 L |
| Open = High / Open = Low at 09:25 | 48,263 | 5.2 bps | 37.5% | −₹30.6 L | −₹1.75 Cr | −₹37,808 | −₹7.9 L | −₹22.3 L |
| Camarilla H3/L3 fade, stop H4/L4 | 98,452 | 1.9 bps | 35.5% | −₹2.27 Cr | −₹5.22 Cr | −₹73.0 L | −₹66.6 L | −₹87.1 L |
₹5 lakh per trade, 5-minute bars, v2026.08 snapshot (Jan 2016 – Aug 2026), NIFTY 50 point-in-time members, discount-broker (₹20/order) and statutory charges + 1 bp slippage per fill. Generated 2026-10-07.
Supertrend: always in the market, always paying
Supertrend flips often on 15-minute candles, and every flip is a new round trip: 70,319 trades, about 26 a day across the index. Its gross edge of 3.1 bps is real but less than half the cost, so after costs it lost ₹1.19 crore, in nine of eleven years.
Open = Low: the best of the three, and still a loser
Open = Low / Open = High had the highest gross edge, 5.2 bps per trade. A stock that hasn’t traded below its open in the first 15 minutes does lean slightly upward for the rest of the day. But it lands in the same place: about 1 bp short of costs, −₹31 lakh in total, and −₹1.75 crore with 3 bps of extra slippage per fill. It lost money in all three periods, barely in 2016–20 (−₹38,000) and most in 2024–26 (−₹22 lakh).
Camarilla: fading H3 rarely works
The Camarilla fade bets that price touching H3 or L3 will turn back. It made just 35% winners and lost ₹2.27 crore, the worst of the three, losing in ten of the eleven years. NIFTY 50 stocks reaching H3 early in the day are more often trending than stretched.
What to take from this
- “Works on the chart” is not “works after costs”. All three show a small positive edge before costs, which is why they look convincing on a chart: you can find plenty of examples that worked.
- More signals are not more edge. The setup that trades most (Supertrend) loses steadily on costs alone.
- Look at 2024–26 separately. None of the three turned profitable in the most recent period.
The exact code we ranopen_high_low() in dpx_bt · 3 variants · snapshot v2026.08
def open_high_low(check='09:25', tol=0.001):
"""'Open = Low' buy / 'Open = High' sell: at the close of the `check` bar, if the day's low so far is within
`tol` of the open and price is above the open -> long (stop just below the day's low); mirror for shorts."""
def strategy(p):
o, lo, hi, c = p.day_open, p.day_low, p.day_high, p.close
at = p.bcast(p.at(check))
long = at & (lo >= o * (1 - tol)) & (c > o)
short = at & (hi <= o * (1 + tol)) & (c < o)
stop = ((c - lo) / c).where(long, (hi - c) / c).clip(lower=0.002) + 0.0005
return bt.Signals(long=long, short=short, stop=stop)
return strategyEvery variant in this post is this function with different arguments, run through dpx_bt over Jan 2016 – Aug 2026.
Have a variation in mind?
Ask runs your own idea on the same data and rules, with the same report: net after costs, +3 bps stress test, three periods.
Backtest on historical data (Jan 2016 – Aug 2026), net of discount-broker (₹20 per order) and statutory charges and 1 bp slippage per fill. Education and research only, not investment advice. Past results do not predict future returns. Disclaimer.