Your idea: buy when ( {cash} ( daily close <= weekly ema ( weekly close , 200… — backtested on Indian market data | FakeTrades
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Your idea: buy when ( {cash} ( daily close <= weekly ema ( weekly close , 200…

💡 Described strategy
Analysed 21 Oct 2026, 06:28 PM IST
★★☆☆☆ 2.0 / 5

Why 2.0/5? (stars grade the EDGE — per-trade expectancy, consistency, drawdown — not the headline return)

  • ✕ Roughly ZERO per-trade edge (-0.01R) — real costs eat whatever is there
  • ✕ Payoff 0.69 — the average winner is SMALLER than the average loser
  • ✕ 5 of 9 tested years were negative (2018, 2020, 2022, 2025) — the edge is regime-dependent
  • ✕ Max drawdown -47% on the ₹2L portfolio — the compounded return came with deep pain along the way

Detected components (auto-read from transcript)

EMARSIVolume

Verdict

Auto-backtested. AI-decoded: Mean reversion strategy buying oversold dips (RSI < 40) when price closes below weekly 200-EMA and 1-week low, with volume confirmation. Ran on 159 large/mid-caps, real costs. 10,801 trades, win 59%, payoff 0.69, expectancy -0.01R/trade (avg -0.20%/trade).

This is essentially breakeven. The payoff ratio is thin. Regime-dependent — positive in only 44% of years.

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 2026-10-22 — 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-33.2%
CAGR-5.0%
Max drawdown-47.3%
Trades1007 · 586 won
₹200,000 → ₹133,624  ·  2018-07-09 → 2026-06-08
201820192020202120222023202420252026
-10%+18%-16%-2%-4%+11%-6%-12%-12%

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
201866855% -0.07R -0.44%
2019135361% +0.02R -0.04%
2020107257% -0.05R -0.18%
2021117767% +0.11R +0.64%
2022158553% -0.10R -0.85%
2023116564% +0.06R +0.05%
2024139560% +0.03R +0.05%
2025161958% -0.01R -0.43%
202676748% -0.10R -0.55%

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

#StockTradesWin%Avg/tradeBestTotal2026
1 ████████ 8064% +0.2% +19% +19% +38%
2 ████████ 8165% +1.5% +16% +120% +35%
3 ████████ 8463% +1.0% +15% +82% +33%
4 ████████ 5463% +1.6% +26% +84% +32%
5 ████████ 7951% -0.3% +20% -21% +32%
6 ████████ 6253% -1.1% +17% -70% +29%
7 ████████ 6458% +0.2% +31% +11% +26%
8 METROPOLIS free peek 6467% +0.2% +9% +16% +23%
9 ████████ 5966% +0.7% +10% +44% +20%
10 ████████ 6865% +0.4% +16% +27% +20%
11 ████████ 7453% -0.7% +12% -48% +20%
12 ████████ 5958% +0.4% +15% +24% +18%
13 ████████ 7256% +0.1% +16% +9% +18%
14 ████████ 7070% +0.0% +11% +1% +17%
15 ████████ 6063% -0.1% +9% -4% +17%
16 ████████ 5157% -0.5% +15% -25% +17%
17 ████████ 8973% +0.0% +17% +4% +16%
18 ████████ 6650% -0.9% +13% -60% +15%
19 ████████ 7264% +0.9% +23% +65% +14%
20 ████████ 5969% +0.7% +10% +43% +14%
21 ████████ 8851% -1.0% +8% -91% -48%
22 ████████ 7757% +0.0% +9% +0% -45%
23 ████████ 6655% -1.0% +14% -66% -42%
24 ████████ 8136% -2.0% +8% -162% -40%
25 ████████ 6552% -1.2% +11% -79% -37%
26 ████████ 7057% +0.1% +23% +9% -35%
27 ████████ 8246% -1.4% +9% -117% -32%
28 ████████ 4141% -2.7% +15% -110% -30%
29 ████████ 4747% -1.0% +12% -47% -27%
30 ████████ 8257% -0.2% +9% -16% -24%
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 -162% 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
NIFTY8360% -0.00R -0.22%
BANKNIFTY8553% -0.08R -0.34%
Full transcript (39 words)
buy when ( {cash} ( daily close <= weekly ema ( weekly close , 200 ) and daily volume >= 200000 and daily close <= 1 week ago low and daily rsi ( 14 ) < 40 ) )

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