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EMA Crossover Strategy

Script from: TradingViewLongTermTrend followingMomentum

The EMA Crossover Strategy utilizes the Exponential Moving Average to identify market trends. By selecting EMA lengths wisely, as per Ed Seykota's guideline of setting the slow EMA at least thrice the fast EMA, the strategy aims to reduce whipsaws and increase profitability. Test different market/timeframe combinations, EMA lengths, multipliers, and directional approaches. For optimal results, use this strategy with alert systems on platforms like TradingView.

PayPal Holdings, Inc. (PYPL)

+ EMA Crossover Strategy

@ 4 h

2.06

Profit Factor

9.66 %

Total ROI

24

Gold Futures (GC1!)

+ EMA Crossover Strategy

@ DailyTradeSearcher backtest

2.03

Profit Factor

113.53 %

Total ROI

22

General Motors Company (GM)

+ EMA Crossover Strategy

@ 4 h

2.00

Profit Factor

9.73 %

Total ROI

22

British Pound/U.S. Dollar (GBPUSD)

+ EMA Crossover Strategy

@ DailyTradeSearcher backtest

1.95

Profit Factor

19.65 %

Total ROI

24

Pfizer, Inc. (PFE)

+ EMA Crossover Strategy

@ 1 h

1.82

Profit Factor

10.75 %

Total ROI

87

Lucid Group, Inc. (LCID)

+ EMA Crossover Strategy

@ 4 h

1.75

Profit Factor

13.34 %

Total ROI

19

Citigroup, Inc. (C)

+ EMA Crossover Strategy

@ 1 h

1.52

Profit Factor

9.34 %

Total ROI

105

General Motors Company (GM)

+ EMA Crossover Strategy

@ 2 h

1.40

Profit Factor

7.12 %

Total ROI

64

Warner Bros. Discovery, Inc. - Series A (WBD)

+ EMA Crossover Strategy

@ 1 h

1.36

Profit Factor

12.93 %

Total ROI

112

SoFi Technologies, Inc. (SOFI)

+ EMA Crossover Strategy

@ 2 h

1.34

Profit Factor

7.21 %

Total ROI

47

Gold Futures (GC1!)

+ EMA Crossover Strategy

@ 1 hTradeSearcher backtest

1.31

Profit Factor

168.08 %

Total ROI

313

Tilray Brands, Inc. - Class 2 (TLRY)

+ EMA Crossover Strategy

@ 1 h

1.29

Profit Factor

18.56 %

Total ROI

113

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Active Trades

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EMA Crossover 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 long-term by holding period.

40
Backtests run
1.3
Avg profit factor
+42%
Avg net profit
+8%
Avg annualized return
22%
Avg max drawdown
0.09
Avg Sharpe ratio

On average, backtests of this strategy beat a buy-and-hold baseline by 78% over the same window.

Performance by asset class

MarketBacktestsAvg profit factorAvg net profitAvg max drawdownAvg Sharpe
Crypto131.0+201%37%0.14
Stocks3541.3+35%19%0.07
Forex601.3+8%12%0.08

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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