Your idea: buy when 7 ema is above 21 ema sell when its below no sl just position… — backtested on Indian market data | FakeTrades
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Your idea: buy when 7 ema is above 21 ema sell when its below no sl just position…

💡 Described strategy
Analysed 05 Oct 2026, 11:20 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: +0.27R across 7,239 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
  • ✕ Max drawdown -22% on the ₹2L portfolio — the compounded return came with deep pain along the way

Detected components (auto-read from transcript)

EMA

Verdict

Auto-backtested. AI-decoded: Fast EMA (7) crossing slow EMA (21) with position switching; no stop-loss, directional trend-following. Ran on 159 large/mid-caps, real costs. 7,239 trades, win 32%, payoff 3.34, expectancy +0.27R/trade (avg +1.45%/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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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+110.2%
CAGR+9.8%
Max drawdown-22.2%
Trades485 · 144 won
₹200,000 → ₹420,348  ·  2018-07-09 → 2026-06-08
201820192020202120222023202420252026
+9%+1%+62%+15%-9%+16%+2%-8%+4%

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
201843329% -0.13R -1.18%
201995530% +0.07R +0.20%
202078644% +0.86R +6.80%
202185035% +0.40R +2.40%
202293131% +0.09R +0.36%
202391741% +1.01R +4.27%
202490428% +0.09R +0.36%
2025103925% -0.07R -0.70%
202642425% -0.21R -1.03%

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

#StockTradesWin%Avg/tradeBestTotal2026
1 ████████ 4146% +15.0% +162% +616% +50%
2 ████████ 4531% +1.5% +44% +69% +44%
3 ████████ 4042% +12.7% +159% +506% +39%
4 ████████ 4231% +4.1% +92% +174% +36%
5 ████████ 5131% +5.5% +130% +282% +34%
6 ████████ 4240% +4.8% +74% +200% +32%
7 ████████ 4633% +3.6% +86% +164% +31%
8 BANDHANBNK free peek 1718% -1.6% +22% -26% +29%
9 ████████ 4637% +3.6% +68% +163% +27%
10 ████████ 3949% +11.3% +191% +442% +25%
11 ████████ 3148% +7.1% +55% +221% +19%
12 ████████ 3123% +1.4% +55% +43% +18%
13 ████████ 4536% +1.1% +56% +51% +16%
14 ████████ 4835% +2.1% +71% +101% +15%
15 ████████ 4542% +1.0% +41% +43% +15%
16 ████████ 4833% +3.0% +109% +142% +13%
17 ████████ 3636% +2.4% +52% +86% +12%
18 ████████ 5141% +3.0% +40% +155% +11%
19 ████████ 4734% +4.4% +81% +209% +10%
20 ████████ 5038% +2.2% +42% +108% +9%
21 ████████ 4224% +0.7% +44% +30% -22%
22 ████████ 5129% -0.6% +21% -30% -21%
23 ████████ 5237% +1.0% +26% +53% -20%
24 ████████ 4432% +2.5% +37% +111% -20%
25 ████████ 5522% -0.3% +34% -19% -19%
26 ████████ 4927% +0.1% +45% +6% -19%
27 ████████ 5229% +0.4% +34% +19% -19%
28 ████████ 3839% +1.2% +34% +47% -19%
29 ████████ 1145% +4.6% +31% +50% -19%
30 ████████ 4617% -0.1% +38% -6% -18%
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 -30% 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
NIFTY5634% +0.30R +0.61%
BANKNIFTY6335% +0.25R +0.60%
Full transcript (21 words)
buy when 7 ema is above 21 ema sell when its below no sl just position switching from buy to sell

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