Traders don’t want you to know this 1-Minute hack 😳 #tradinghacks #tradingstrategy — backtested on Indian market data | FakeTrades
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Traders don’t want you to know this 1-Minute hack 😳 #tradinghacks #tradingstrategy

MoonShot by Vishal & Meghana (Malkansview) · watch on YouTube ↗
Analysed 01 Aug 2026, 03:18 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

Verdict

Auto-backtested. AI-decoded: GFS (Grandfather-Father-Son) multi-timeframe RSI dip-buy strategy: buy when daily RSI dips to 40 with bullish candle, provided monthly and weekly RSI are above 60. 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 2026-07-06 — 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
NIFTY8162% +0.03R -0.17%
BANKNIFTY8055% -0.04R -0.25%
Full transcript (122 words)
क्या 1 मिनट में स्टॉक मार्केट सीखा जा सकता है? नहीं। पूरा नहीं सीखा जा सकता। लेकिन एक स्ट्रेटजी मैं आपको सिखा सकता हूं 1 मिनट में जिसको बोलते हैं जीएफएस स्ट्रेटजी। ग्रैंडफादर फादर एंड स्ट्रेटजी। इसमें क्या होता है कि ग्रैंडफादर मतलब मंथली चार्ट। मंथली चार्ट अगर आरएसआई 60 के ऊपर है। वीकली चार्ट आरएसआई अगर 60 के ऊपर है और डेली चार्ट जब 40 पे आता है और वहां पे बुलिश कैंडल बनता है। दैट्स योर एंट्री। वहां पे एंट्री करेंगे। ऊपर एंट्री और नीचे स्टॉप लॉस होगा। और ये मेरा फाइव स्टार ट्रेडिंग स्ट्रेटजी है। इसको आपने अगर सही से किया और इसका स्कैनर भी रेडीमेड अवेलेबल्स है। काफी सारे स्कैनर प्लेटफार्म पे। तो आपको कुछ नहीं करना है।

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