The Only Trading Strategy You’ll Ever Need πŸ”₯ | Range Strategy β€” backtested on Indian market data | FakeTrades
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The Only Trading Strategy You’ll Ever Need πŸ”₯ | Range Strategy

Trader Amit gupta Β· watch on YouTube β†—
Analysed 01 Sep 2026, 12:47 PM IST
β˜…β˜…β˜…β˜…β˜† 4.0 / 5

Why 4.0/5? (stars grade the EDGE β€” per-trade expectancy, consistency, drawdown β€” not the headline return)

  • βœ“ Strong per-trade edge: +0.36R expectancy across 13,425 trades
  • βœ“ Convex payoff 3.3 β€” winners far bigger than losers
  • βœ• Only 32% of trades win β€” the rare big winners must keep showing up
  • βœ• 5 of 9 tested years were negative (2018, 2019, 2022, 2025) β€” the edge is regime-dependent
  • βœ• Max drawdown -32% on the β‚Ή2L portfolio β€” the compounded return came with deep pain along the way

Detected components (auto-read from transcript)

IntradaySwing FibonacciLiquidity/ICT

Verdict

Auto-backtested. Detected: breakout of a recent high. Ran on 159 large/mid-caps, real costs. 13,425 trades, win 32%, payoff 3.25, expectancy +0.36R/trade (avg +1.84%/trade).

This is a real edge. The payoff is convex (winners run well past the average loser). Regime-dependent β€” 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.

See strategies that scored 4β˜…+ β†’
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Is it profitable? (green above the line = made money, red below = lost it)

β‚Ή2,00,000 portfolio (max 5 positions, across the stock universe β€” real delivery costs)

Return+49.8%
CAGR+5.2%
Max drawdown-32.2%
Trades361 Β· 99 won
β‚Ή200,000 β†’ β‚Ή299,657  Β·  2018-07-10 β†’ 2026-06-08
201820192020202120222023202420252026
+1%+1%+33%+29%-9%+16%+3%-11%-11%

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
201865716% -0.59R -3.78%
2019131427% -0.02R -0.01%
2020181744% +0.99R +7.31%
2021180135% +0.44R +2.56%
2022166426% -0.07R -0.74%
2023211944% +1.32R +5.57%
2024183527% +0.13R +0.34%
2025150429% -0.02R -0.39%
202671422% -0.36R -1.72%

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

#StockTradesWin%Avg/tradeBestTotal2026
1 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 8251% +25.3% +181% +2077% +198%
2 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 9951% +19.0% +124% +1880% +159%
3 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 7633% +3.6% +52% +277% +143%
4 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 7842% +6.4% +85% +500% +137%
5 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 7541% +9.0% +125% +672% +75%
6 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 6936% +3.6% +101% +246% +71%
7 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 9534% +2.6% +68% +246% +64%
8 CUMMINSIND free peek 10643% +6.8% +61% +717% +51%
9 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 9440% +4.1% +66% +383% +40%
10 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 4838% +4.1% +55% +198% +29%
11 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 10234% +4.0% +65% +406% +27%
12 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 9846% +7.5% +59% +738% +23%
13 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 11134% +0.8% +32% +86% +19%
14 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 10337% +3.2% +61% +332% +3%
15 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 8136% -0.6% +15% -46% +1%
16 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 9331% +3.1% +61% +293% +0%
17 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 9239% +2.1% +32% +194% +0%
18 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 8333% +2.0% +46% +170% +0%
19 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 10031% +1.7% +50% +170% +0%
20 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 8034% +0.2% +36% +19% +0%
21 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 7027% +2.1% +60% +150% -46%
22 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 9731% +2.8% +106% +269% -45%
23 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 8921% -1.1% +34% -96% -40%
24 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 8528% -0.0% +32% -3% -40%
25 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 10830% +1.4% +69% +151% -37%
26 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 7023% +0.1% +107% +7% -36%
27 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 9520% -1.6% +33% -149% -35%
28 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 9339% +1.2% +29% +115% -34%
29 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 9033% +2.3% +69% +205% -34%
30 β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ 10431% +2.2% +81% +232% -34%
You can see the numbers β€” see the names. Unlock every stock in this breakdown and download it as Excel. The worst stock in this table returned -149% under these exact rules β€” one wrong pick costs many times the unlock.

Educational backtest output only β€” 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
NIFTY17532% +0.03R -0.10%
BANKNIFTY16032% +0.21R +0.54%
Full transcript (268 words)
Create a high-probability Gold (XAUUSD) & Crypto Scalping strategy based on New York / London Session price action: Market & Timeframe Setup: - Primary Symbol: XAUUSD (Gold) and BTCUSD. - Higher Timeframe: 15m/1h for overall trend structure determination. - Entry Timeframes: 1m and 5m for entry execution. Strategy 1: Fibonacci Golden Zone Retest (1m / 5m) - Draw Fibonacci Retracement on key impulse waves. - Buy Entry: In an uptrend, wait for price to pull back to the 0.50 (50%) or 0.618 (61.8%) Fibonacci retracement level. Trigger Buy on bullish rejection candle. - Sell Entry: In a downtrend, wait for price to pull back to the 0.50 or 0.618 Fibonacci level. Trigger Sell on bearish rejection candle. Strategy 2: Key Level Rejection & Liquidity Sweep (1m Scalp) - Mark key Support/Resistance and intraday Highs/Lows. - Trigger short trades when price sweeps liquidity above a key resistance zone and shows strong bearish rejection. - Trigger long trades when price sweeps liquidity below a key support zone and shows strong bullish rejection. Risk & Trade Management Rules: - Fixed Lot Size: 0.05 Lot per trade. - Invalidation / Stop Loss: Always place SL strictly beyond the swing high/low structural invalidation point. Never widen SL during an active trade. - Target / Take Profit: Minimum Risk-to-Reward ratio of 1:2 or next major liquidity high/low zone. - Risk Limits: Maximum 2-3 trades per day. Stop trading after 2 consecutive losses. No-Trade Constraints: - Do NOT enter trades 15 minutes before or 15 minutes after high-impact US economic news (NFP, CPI, FOMC). - Do NOT trade in low-volatility tight consolidation / chop zones.

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