Your idea: SMA 10, SMA 20 cross over , when SMA 10 crosses above SMA 20, take lon… — backtested on Indian market data | FakeTrades
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Your idea: SMA 10, SMA 20 cross over , when SMA 10 crosses above SMA 20, take lon…

💡 Described strategy
Analysed 10 Aug 2026, 04:56 PM IST
★★★½☆ 3.5 / 5

Why 3.5/5? (stars grade the EDGE — per-trade expectancy, consistency, drawdown — not the headline return)

  • A real but modest per-trade edge: +0.29R across 6,256 trades
  • Convex payoff 3.3 — winners far bigger than losers
  • Only 32% of trades win — the rare big winners must keep showing up
  • 3 of 9 tested years were negative (2018, 2025, 2026) — the edge is regime-dependent
  • Most of the big total return is compounding in a rising market (beta) — the per-trade edge above is what would survive a different regime

Detected components (auto-read from transcript)

SMA/MA

Verdict

Auto-backtested. AI-decoded: SMA 10/20 crossover strategy: buy when SMA 10 crosses above SMA 20, exit when price closes below SMA 10. Ran on 159 large/mid-caps, real costs. 6,256 trades, win 32%, payoff 3.27, expectancy +0.29R/trade (avg +1.53%/trade).

This is a real edge. The payoff is convex (winners run well past the average loser). Reasonably consistent (67% of years positive).

Mechanically decoded from the transcript and scored from the metrics. Flagged for human review; a hand-vetted verdict can override it.

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🔴 Live forward test (no hindsight — only trades the rules fired AFTER we published this verdict)

Tracking since 2026-08-10 — no qualifying signals have fired yet. The engine re-checks every night on fresh data; results appear here the day the rules trigger.

Is it profitable? (green above the line = made money, red below = lost it)

₹2,00,000 portfolio (max 5 positions, across the stock universe — real delivery costs)

Return+172.8%
CAGR+13.5%
Max drawdown-17.3%
Trades397 · 129 won
₹200,000 → ₹545,508  ·  2018-07-09 → 2026-06-08
201820192020202120222023202420252026
+6%+11%+73%+18%-4%+17%+5%-2%-2%

Simulated on the 159 large/mid-cap universe. Capital-constrained, daily mark-to-market.

Year by year (every trade the rules fired, across the tested stocks)

YearTradesWin %ExpectancyAvg return / trade
201839428% -0.16R -1.34%
201982531% +0.08R +0.31%
202066445% +0.96R +7.91%
202171436% +0.37R +2.06%
202281730% +0.08R +0.22%
202378243% +1.16R +4.92%
202477426% +0.10R +0.39%
202590526% -0.08R -0.76%
202638123% -0.27R -1.39%

Where this strategy made & lost money (the full stock-by-stock breakdown — 158 stocks, incl. 2026)

#StockTradesWin%Avg/tradeBestTotal2026
1 ████████ 3829% +1.5% +44% +55% +44%
2 ████████ 3336% +7.1% +58% +236% +39%
3 ████████ 4630% +3.5% +74% +162% +38%
4 ████████ 3228% +3.7% +92% +118% +36%
5 ████████ 3636% +14.9% +162% +537% +35%
6 ████████ 3738% +4.6% +74% +171% +32%
7 ████████ 3839% +5.2% +86% +199% +31%
8 ABB free peek 3741% +4.7% +68% +174% +24%
9 ████████ 3636% +8.6% +191% +311% +21%
10 ████████ 1520% -1.8% +22% -27% +21%
11 ████████ 2846% +6.3% +51% +176% +19%
12 ████████ 2528% +2.6% +53% +65% +18%
13 ████████ 4533% +2.6% +69% +117% +15%
14 ████████ 3732% +1.5% +56% +54% +14%
15 ████████ 3931% +3.2% +82% +125% +13%
16 ████████ 4243% +3.8% +43% +159% +11%
17 ████████ 4124% -0.3% +39% -12% +11%
18 ████████ 4536% +2.7% +72% +122% +9%
19 ████████ 4236% +2.8% +69% +118% +9%
20 ████████ 4434% +0.4% +19% +17% +8%
21 ████████ 4124% +2.1% +73% +88% -23%
22 ████████ 3735% +3.4% +37% +124% -22%
23 ████████ 4323% -0.4% +29% -19% -21%
24 ████████ 4333% -0.3% +19% -15% -20%
25 ████████ 3921% +0.4% +38% +15% -20%
26 ████████ 4330% +0.6% +38% +27% -19%
27 ████████ 3633% +0.8% +32% +29% -19%
28 ████████ 4129% +1.0% +52% +40% -19%
29 ████████ 4323% +0.9% +48% +39% -18%
30 ████████ 4922% -1.3% +18% -63% -17%
You can see the numbers — see the names. Unlock every stock in this breakdown and download it as Excel. The worst stock in this table returned -63% under these exact rules — one wrong pick costs many times the unlock.

Educational backtest output only — not investment advice or a recommendation to buy/sell any security. AI-generated from stored historical data; not 100% accurate. Past performance is not indicative of future results.

On the index (same rules applied to NIFTY & BANKNIFTY)

IndexTradesWin%Expectancy (R/trade)Avg return/trade
NIFTY4943% +0.47R +0.96%
BANKNIFTY5441% +0.34R +1.01%
Full transcript (25 words)
SMA 10, SMA 20 cross over , when SMA 10 crosses above SMA 20, take long trade, exit when the candles forms below SMA 10.

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