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5 ema strategy

Script from: TradingViewSwingPrice actionTrend followingScalpingCandlestick

The 5 EMA strategy is based on Subhashish Pani's approach, utilizing a 5-minute sell and a 15-minute buy system. In a sell signal, trade opens when the price breaks below the alert candle. For buys, trade opens as the price surpasses the alert candle's high. Risk management includes a stop loss and a take profit based on previous candles. Customize trade frequency and focus between buy or sell signals.

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Premium users can access all backtests with a profit factor above 3

@ 4 h

55.68

Profit Factor

6,605.51 %

Total ROI

18

VIRTUAL / TetherUS (VIRTUALUSDT)

+ 5 ema strategy

@ Daily

1.43

Profit Factor

172.60 %

Total ROI

52

Revolution Medicines, Inc. (RVMD)

+ 5 ema strategy

@ 4 h

1.33

Profit Factor

722.99 %

Total ROI

384

HENRY HUB NATURAL GAS FUTURES (NG1!)

+ 5 ema strategy

@ 1 h

1.28

Profit Factor

848.14 %

Total ROI

1533

PSQ Holdings, Inc. (PSQH)

+ 5 ema strategy

@ 4 h

1.18

Profit Factor

279.33 %

Total ROI

173

British Pound/U.S. Dollar (GBPUSD)

+ 5 ema strategy

@ DailyTradeSearcher backtest

1.18

Profit Factor

32.48 %

Total ROI

381

Gilead Sciences, Inc. (GILD)

+ 5 ema strategy

@ 1 h

1.13

Profit Factor

107.68 %

Total ROI

1902

Zscaler, Inc. (ZS)

+ 5 ema strategy

@ 1 h

1.11

Profit Factor

2,904.74 %

Total ROI

1352

XRP / TetherUS (XRPUSDT)

+ 5 ema strategy

@ 4 h

1.10

Profit Factor

1,805.49 %

Total ROI

1375

Coca-Cola Company (The) (KO)

+ 5 ema strategy

@ 4 h

1.09

Profit Factor

169.32 %

Total ROI

1444

Comcast Corporation (CMCSA)

+ 5 ema strategy

@ 1 h

1.08

Profit Factor

119.30 %

Total ROI

1740

Sanofi (SAN)

+ 5 ema strategy

@ 15 min

1.08

Profit Factor

30.12 %

Total ROI

1564

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Active Trades

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5 ema strategy backtest statistics

Aggregated across every validated backtest TradeSearcher has run on this strategy. Figures update automatically as new backtests are added — they are not edited by hand. Classified as swing by holding period.

32
Backtests run
2.8
Avg profit factor
+555%
Avg net profit
+38%
Avg annualized return
42%
Avg max drawdown
0.12
Avg Sharpe ratio

On average, backtests of this strategy beat a buy-and-hold baseline by 446% over the same window.

Performance by asset class

MarketBacktestsAvg profit factorAvg net profitAvg max drawdownAvg Sharpe
Crypto441.2+666%—0.25
Stocks7273.8+706%43%0.11
Forex661.1+20%18%0.06

Backtests use the validated-universe filter: non-repainting scripts, over 15 trades, non-excluded. Per-market rows appear only when at least one backtest exists for that asset class.

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