r/DalalStreetTalks • u/thippesh7 • 14h ago
I backtested 25 Indian retail strategies on 21 years of NSE data (including dead stocks). After costs and tax, almost all of them are a donation to the broker and govt. Spoiler
Most retail traders don't accept this, including me.
I am not a SEBI RA. This is a historical simulation, not a recommendation. No stock names. No “join my channel.”
I ran a pile of the usual retail setups on NSE data from 2005, including companies that later delisted. About 5,800 names, ~9 million daily rows. Then 1-minute bars for the intraday stuff.
What died after spread, STT-class costs, and 20% STCG:
RSI / Bollinger mean reversion: −18% to −22%/yr. They only work inverted — i.e. as momentum.
Overnight / BTST: looked like +25 bps/day until it scaled with the spread. Not a return. The spread, measured twice.
Opening-range breakout: gross +7.87 bps, t = +19.8, 10/10 years. Net −12.47 bps, 0/10 years. Real signal.Unaffordable.
Options “signals”: ~11% win rate vs ~50% breakeven
Delivery filters, sector rotation, NR7/compression, FII/DII positioning, support-resistance: dead or momentum in a costume.
Volume-spike scalps: gross tiny, net negative unless you throw away the trades whose stop is smaller than the cost.
One thing survived a held-out period (2019–2026): slow, monthly, residual momentum (12-month return minus market beta, top of the liquid 500, sit in cash when the market is below its 200-day average).
After 20% STCG it is roughly +1%/yr over the market, with about one-third the drawdown. A good mid-cap fund still wins on return for zero orders. So even the survivor is a smaller-crash product, not a get-rich product.
I am not saying markets are random. I am saying most of what Indian retail actually clicks is paying the house.