Your idea: Forex Strategy: 9 EMA + 20 EMA + RSI Timeframe: 15-minute chart Indica… — backtested on Indian market data | FakeTrades
FakeTrades.in
← all strategies
Y

Your idea: Forex Strategy: 9 EMA + 20 EMA + RSI Timeframe: 15-minute chart Indica…

💡 Described strategy
Analysed 14 Sep 2026, 08:06 PM IST
★★★½☆ 3.5 / 5
🌐
Heads up: this strategy was originally created for the forex market. We applied the exact same logic to Indian stocks & indices and the backtest completed successfully — every result below is on Indian market data.

Why 3.5/5? (stars grade the EDGE — per-trade expectancy, consistency, drawdown — not the headline return)

  • A real but modest per-trade edge: +0.28R across 6,590 trades
  • Convex payoff 3.2 — winners far bigger than losers
  • Only 33% of trades win — the rare big winners must keep showing up
  • 3 of 9 tested years were negative (2018, 2025, 2026) — the edge is regime-dependent
  • Most of the big total return is compounding in a rising market (beta) — the per-trade edge above is what would survive a different regime

Detected components (auto-read from transcript)

EMARSIATR

Verdict

Auto-backtested. AI-decoded: 9/20 EMA crossover with RSI filter (>50 buy, <50 sell) on 15-min forex bars; pullback + candle close entry; 1 ATR stop, 2:1 risk/reward. Ran on 159 large/mid-caps, real costs. 6,590 trades, win 33%, payoff 3.20, expectancy +0.28R/trade (avg +1.48%/trade).

This is a real edge. The payoff is convex (winners run well past the average loser). Reasonably consistent (67% of years positive).

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 4★+ →
Know someone trading this?

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+179.4%
CAGR+13.9%
Max drawdown-19.5%
Trades410 · 146 won
₹200,000 → ₹558,824  ·  2018-07-09 → 2026-06-08
201820192020202120222023202420252026
+17%+2%+40%+28%-2%+26%+0%+4%+2%

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
201840230% -0.12R -1.14%
201987331% +0.07R +0.24%
202071146% +0.94R +7.58%
202176536% +0.35R +1.98%
202285131% +0.07R +0.16%
202383242% +1.08R +4.55%
202481027% +0.10R +0.44%
202594625% -0.08R -0.74%
202640025% -0.23R -1.16%

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

#StockTradesWin%Avg/tradeBestTotal2026
1 ████████ 3933% +1.7% +44% +67% +44%
2 ████████ 3435% +7.8% +55% +265% +39%
3 ████████ 3534% +4.6% +92% +161% +36%
4 ████████ 4040% +4.9% +86% +195% +34%
5 ████████ 4933% +2.9% +59% +144% +34%
6 ████████ 3746% +15.8% +162% +586% +33%
7 ████████ 3936% +4.5% +74% +177% +32%
8 BANDHANBNK free peek 1718% -1.8% +22% -30% +26%
9 ████████ 3938% +4.6% +68% +178% +24%
10 ████████ 3837% +8.8% +191% +334% +23%
11 ████████ 2846% +6.2% +51% +175% +20%
12 ████████ 2825% +2.1% +55% +58% +18%
13 ████████ 4240% +0.7% +43% +31% +18%
14 ████████ 4536% +2.6% +72% +117% +15%
15 ████████ 4736% +1.4% +42% +68% +15%
16 ████████ 4134% +1.7% +56% +70% +14%
17 ████████ 4330% +3.8% +109% +162% +13%
18 ████████ 4540% +3.1% +42% +142% +11%
19 ████████ 4635% +2.2% +69% +102% +11%
20 ████████ 5127% -0.9% +33% -48% +10%
21 ████████ 4326% +1.5% +61% +63% -23%
22 ████████ 3837% +3.4% +37% +130% -22%
23 ████████ 4922% -0.5% +29% -25% -21%
24 ████████ 4827% -0.8% +20% -37% -20%
25 ████████ 4520% -0.0% +38% +0% -20%
26 ████████ 4224% +1.1% +48% +47% -20%
27 ████████ 3732% +1.2% +32% +44% -19%
28 ████████ 4129% +1.2% +59% +49% -19%
29 ████████ 4641% +1.2% +26% +56% -19%
30 ████████ 4726% -0.7% +32% -33% -17%
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 -48% 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
NIFTY5233% +0.36R +0.69%
BANKNIFTY5838% +0.28R +0.66%
Full transcript (269 words)
Forex Strategy: 9 EMA + 20 EMA + RSI Timeframe: 15-minute chart Indicators: 9 EMA 20 EMA RSI (14) BUY Rules 9 EMA must be above 20 EMA. RSI must be above 50. Price must pull back toward the 9 EMA or the area between the 9 EMA and 20 EMA. After the pullback, wait for a bullish candle to close. Enter BUY at the close of that bullish candle. Stop-loss: 1 × ATR(14) below the entry price. Take-profit: 2 × the initial risk (1:2 risk/reward). Exit immediately if the 9 EMA crosses below the 20 EMA before the target or stop-loss is reached. SELL Rules 9 EMA must be below 20 EMA. RSI must be below 50. Price must pull back toward the 9 EMA or the area between the 9 EMA and 20 EMA. After the pullback, wait for a bearish candle to close. Enter SELL at the close of that bearish candle. Stop-loss: 1 × ATR(14) above the entry price. Take-profit: 2 × the initial risk (1:2 risk/reward). Exit immediately if the 9 EMA crosses above the 20 EMA before the target or stop-loss is reached. Risk Management Risk exactly 1% of account capital per trade. Only one open trade at a time. No averaging down. No martingale. Include spread and commission in the backtest if supported. Backtest Requirements Backtest this strategy on EUR/USD using historical data. Report: Total trades Winning trades Losing trades Win rate Net profit Maximum drawdown Profit factor Average profit per trade Largest winning trade Largest losing trade Consecutive wins/losses Equity curve Also show the results separately for BUY and SELL trades.

💬 Trader reviews (traded this? tell others what really happened)

No reviews yet — be the first. Real experiences help other traders more than any backtest.

User opinions, not investment advice. Reviews are moderated before publishing.