EMA Cross Strategy

Script from: TradingViewSwingTrend followingMomentum

The EMA Cross Strategy employs dual exponential moving averages to capture trend reversals by identifying crosses—going long when the shorter EMA crosses above the longer one and short when below. Its uniqueness lies in the integration of a date picker for backtesting and the ability to test exclusively in either short or long positions.

Top 122 Backtests of EMA Cross Strategy

Explore the most profitable cryptocurrency and stock backtests with EMA Cross Strategy (on TradingView).

Filters

Enovix Corporation (ENVX)

+ EMA Cross Strategy

@ Daily

2.39

Profit Factor

415.06 %

Total ROI

JASMY / TetherUS (JASMYUSDT)

+ EMA Cross Strategy

@ Daily

1.60

Profit Factor

507.11 %

Total ROI

Gold Futures (GC1!)

+ EMA Cross Strategy

@ DailyTradeSearcher backtest

1.56

Profit Factor

239.28 %

Total ROI

192

IREN LIMITED (IREN)

+ EMA Cross Strategy

@ 1 h

1.39

Profit Factor

1,454.75 %

Total ROI

326

Bank of America Corporation (BAC)

+ EMA Cross Strategy

@ 2 h

1.30

Profit Factor

395.53 %

Total ROI

829

CAKE / TetherUS (CAKEUSDT)

+ EMA Cross Strategy

@ 2 h

1.28

Profit Factor

6,139.28 %

Total ROI

880

IREN LIMITED (IREN)

+ EMA Cross Strategy

@ Daily

1.27

Profit Factor

371.09 %

Total ROI

Citigroup, Inc. (C)

+ EMA Cross Strategy

@ 2 h

1.27

Profit Factor

1,128.65 %

Total ROI

817

CAKE / TetherUS (CAKEUSDT)

+ EMA Cross Strategy

@ 4 h

1.26

Profit Factor

3,562.02 %

Total ROI

457

Tezos / TetherUS (XTZUSDT)

+ EMA Cross Strategy

@ Daily

1.26

Profit Factor

914.36 %

Total ROI

Gold Futures (GC1!)

+ EMA Cross Strategy

@ 1 hTradeSearcher backtest

1.25

Profit Factor

240.94 %

Total ROI

817

GRT / TetherUS (GRTUSDT)

+ EMA Cross Strategy

@ Daily

1.25

Profit Factor

555.89 %

Total ROI

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Active Trades

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EMA Cross 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.

122

Backtests run

1.1

Avg profit factor

>1,000%

Avg net profit

+28%

Avg annualized return

69%

Avg max drawdown

0.15

Avg Sharpe ratio

On average, backtests of this strategy beat a buy-and-hold baseline by >1,000% over the same window.

Performance by asset class

Market	Backtests	Avg profit factor	Avg net profit	Avg max drawdown	Avg Sharpe
Crypto	103	1.1	>1,000%	82%	0.20
Stocks	1,367	1.1	+797%	68%	0.12
Forex	72	1.0	+5%	40%	0.03

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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