Your idea: On NIFTY 50 stocks using daily bars, buy at the next trading day open… — backtested on Indian market data | FakeTrades
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Your idea: On NIFTY 50 stocks using daily bars, buy at the next trading day open…

💡 Described strategy
Analysed 28 Sep 2026, 11:29 PM IST
★½☆☆☆ 1.5 / 5

Why 1.5/5? (stars grade the EDGE — per-trade expectancy, consistency, drawdown — not the headline return)

  • ✕ Roughly ZERO per-trade edge (-0.05R) — real costs eat whatever is there
  • ✕ Payoff 0.54 — the average winner is SMALLER than the average loser
  • ✕ 8 of 9 tested years were negative (2018, 2019, 2020, 2022) — the edge is regime-dependent
  • ✕ Max drawdown -97% on the ₹2L portfolio — the compounded return came with deep pain along the way

Detected components (auto-read from transcript)

SMA/MARSI

Verdict

Auto-backtested. AI-decoded: RSI(2) oversold mean-reversion with 200-EMA uptrend filter on NIFTY 50 daily bars. Ran on 159 large/mid-caps, real costs. 10,400 trades, win 60%, payoff 0.54, expectancy -0.05R/trade (avg -0.57%/trade).

This is essentially breakeven. The payoff ratio is thin. Regime-dependent — positive in only 11% 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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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-96.8%
CAGR-35.4%
Max drawdown-96.9%
Trades1588 · 642 won
₹200,000 → ₹6,305  ·  2018-07-09 → 2026-06-08
201820192020202120222023202420252026
-18%-21%-15%-17%-39%-34%-46%-46%-41%

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
201860861% -0.04R -0.52%
2019127459% -0.04R -0.42%
2020127260% -0.10R -1.25%
2021119163% +0.01R -0.09%
2022142958% -0.09R -0.87%
2023109860% -0.04R -0.56%
2024141960% -0.03R -0.37%
2025145561% -0.01R -0.31%
202665456% -0.13R -0.91%

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

#StockTradesWin%Avg/tradeBestTotal2026
1 ████████ 6545% -1.0% +14% -62% +15%
2 ████████ 7151% -0.4% +11% -29% +13%
3 ████████ 7561% -0.5% +8% -37% +13%
4 ████████ 6455% -0.6% +14% -41% +11%
5 ████████ 6854% -0.8% +14% -53% +11%
6 ████████ 7159% +0.2% +6% +11% +8%
7 ████████ 7260% +0.1% +19% +4% +8%
8 ASTRAL free peek 8153% -0.6% +10% -50% +8%
9 ████████ 6057% +0.0% +8% +1% +6%
10 ████████ 6250% -0.2% +6% -11% +6%
11 ████████ 6560% -0.8% +8% -49% +6%
12 ████████ 7257% -1.2% +7% -88% +6%
13 ████████ 7254% -1.8% +23% -128% +6%
14 ████████ 7073% +1.1% +28% +75% +5%
15 ████████ 7458% -0.0% +8% -1% +5%
16 ████████ 5564% +0.0% +6% +2% +4%
17 ████████ 7149% -0.2% +11% -15% +4%
18 ████████ 7161% -0.4% +10% -26% +4%
19 ████████ 7556% -0.6% +5% -48% +4%
20 ████████ 5340% -1.3% +5% -69% +4%
21 ████████ 6743% -1.5% +6% -103% -24%
22 ████████ 7654% -0.5% +5% -35% -23%
23 ████████ 7152% -1.0% +6% -71% -21%
24 ████████ 8652% -0.8% +7% -65% -21%
25 ████████ 6548% -1.1% +7% -71% -20%
26 ████████ 7260% -0.6% +5% -44% -20%
27 ████████ 7849% -1.1% +9% -85% -19%
28 ████████ 6653% -0.8% +5% -53% -18%
29 ████████ 8154% -0.4% +11% -34% -18%
30 ████████ 5749% -1.0% +6% -59% -16%
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 -128% 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
NIFTY8449% -0.13R -0.42%
BANKNIFTY9253% -0.04R -0.36%
Full transcript (68 words)
On NIFTY 50 stocks using daily bars, buy at the next trading day open when RSI(2) is below 5 and the closing price is above its 200-day simple moving average. Exit at the next trading day open when RSI(2) rises above 70 or after 5 trading days, whichever comes first. Use equal position sizes, no overlapping position in the same stock, and include all brokerage, taxes, and slippage.

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