Your idea: In indian stock market open a stock in 15M time frame and add 12 EMA a… — backtested on Indian market data | FakeTrades
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Your idea: In indian stock market open a stock in 15M time frame and add 12 EMA a…

💡 Described strategy
Analysed 19 Aug 2026, 11:58 AM IST
★★½☆☆ 2.5 / 5

Why 2.5/5? (stars grade the EDGE — per-trade expectancy, consistency, drawdown — not the headline return)

  • A real but modest per-trade edge: +0.08R across 17,857 trades
  • Only 29% of trades win — the rare big winners must keep showing up
  • 5 of 9 tested years were negative (2018, 2019, 2024, 2025) — the edge is regime-dependent
  • Max drawdown -34% on the ₹2L portfolio — the compounded return came with deep pain along the way

Detected components (auto-read from transcript)

EMASMA/MA

Verdict

Auto-backtested. AI-decoded: 2-period MA crossing above 12-EMA on 15-min intraday bars for long entry; opposite for short. Ran on 159 large/mid-caps, real costs. 17,857 trades, win 29%, payoff 2.99, expectancy +0.08R/trade (avg +0.26%/trade).

This is a marginal edge. The payoff is convex (winners run well past the average loser). 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 2026-08-19 — 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+46.6%
CAGR+5.0%
Max drawdown-34.4%
Trades1002 · 286 won
₹200,000 → ₹293,174  ·  2018-07-09 → 2026-06-08
201820192020202120222023202420252026
-12%+3%+90%+15%-14%+10%-5%-6%-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
2018100828% -0.04R -0.47%
2019222127% -0.01R -0.30%
2020212836% +0.31R +2.13%
2021226031% +0.16R +0.75%
2022223329% +0.01R -0.13%
2023220033% +0.34R +1.27%
2024234628% -0.01R -0.27%
2025254825% -0.08R -0.72%
202691327% -0.09R -0.47%

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

#StockTradesWin%Avg/tradeBestTotal2026
1 ████████ 10433% +7.1% +211% +733% +70%
2 ████████ 11727% +2.9% +84% +345% +38%
3 ████████ 10436% +4.7% +108% +487% +34%
4 ████████ 10333% +3.9% +72% +405% +34%
5 ████████ 8738% +2.2% +43% +188% +32%
6 ████████ 12028% +0.9% +39% +112% +31%
7 ████████ 13625% -0.4% +41% -55% +31%
8 ABB free peek 11328% +1.1% +54% +121% +27%
9 ████████ 12324% +0.3% +114% +40% +27%
10 ████████ 3918% -1.5% +18% -60% +27%
11 ████████ 11032% +4.5% +156% +494% +26%
12 ████████ 9936% +1.9% +41% +185% +20%
13 ████████ 11731% +0.6% +48% +68% +19%
14 ████████ 12026% -0.5% +34% -56% +18%
15 ████████ 11828% +0.3% +31% +30% +17%
16 ████████ 12028% +0.1% +35% +9% +17%
17 ████████ 10930% +0.1% +23% +16% +16%
18 ████████ 11426% +0.1% +33% +7% +13%
19 ████████ 13132% -0.1% +25% -19% +12%
20 ████████ 12429% -0.2% +27% -22% +12%
21 ████████ 7131% -0.4% +29% -25% -39%
22 ████████ 12129% -0.5% +30% -57% -29%
23 ████████ 12527% -0.5% +37% -61% -28%
24 ████████ 12524% -0.1% +33% -19% -27%
25 ████████ 10225% +0.3% +24% +27% -26%
26 ████████ 11528% -0.3% +26% -30% -23%
27 ████████ 12422% +0.3% +44% +36% -21%
28 ████████ 10928% +0.3% +28% +33% -20%
29 ████████ 12327% +0.4% +39% +53% -20%
30 ████████ 12128% -0.2% +35% -24% -19%
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 -61% 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
NIFTY15230% +0.01R -0.20%
BANKNIFTY16334% +0.06R -0.04%
Full transcript (39 words)
In indian stock market open a stock in 15M time frame and add 12 EMA and 2 moving average and in 15m Time frame enter long when 2 moving average cross 12 ema do the opposite for short selling

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