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Rate Of Change Trend Strategy (ROC)

Script from: TradingViewSwingTrend followingMomentum

The Rate of Change (ROC) Trend Strategy capitalizes on momentum, triggering buys when past price changes are positive and sells when negative. It's notably effective in trending markets, including cryptocurrencies and various stocks, such as BTCUSD, ETHUSD, SPX, NDX, and TSLA.

Zcash / TetherUS (ZECUSDT)

+ Rate Of Change Trend Strategy (ROC)

@ Daily

2.87

Profit Factor

6,344.52 %

Total ROI

90

Sandisk Corporation (SNDK)

+ Rate Of Change Trend Strategy (ROC)

@ 2 h

2.37

Profit Factor

1,557.61 %

Total ROI

63

APTUSDT SPOT (APTUSDT)

+ Rate Of Change Trend Strategy (ROC)

@ Daily

2.25

Profit Factor

118.83 %

Total ROI

16

Credo Technology Group Holding Ltd (CRDO)

+ Rate Of Change Trend Strategy (ROC)

@ Daily

2.01

Profit Factor

574.28 %

Total ROI

43

IonQ, Inc. (IONQ)

+ Rate Of Change Trend Strategy (ROC)

@ 2 h

1.86

Profit Factor

1,789.98 %

Total ROI

196

IREN LIMITED (IREN)

+ Rate Of Change Trend Strategy (ROC)

@ Daily

1.85

Profit Factor

684.99 %

Total ROI

36

Gold Futures (GC1!)

+ Rate Of Change Trend Strategy (ROC)

@ DailyTradeSearcher backtest

1.71

Profit Factor

220.85 %

Total ROI

190

Oklo Inc. (OKLO)

+ Rate Of Change Trend Strategy (ROC)

@ 4 h

1.60

Profit Factor

569.01 %

Total ROI

86

IREN LIMITED (IREN)

+ Rate Of Change Trend Strategy (ROC)

@ 4 h

1.58

Profit Factor

1,580.86 %

Total ROI

84

NIFTY 50 (NIFTY)

+ Rate Of Change Trend Strategy (ROC)

@ 1 h

1.57

Profit Factor

171.69 %

Total ROI

635

Cloudflare, Inc. (NET)

+ Rate Of Change Trend Strategy (ROC)

@ 1 h

1.53

Profit Factor

2,356.15 %

Total ROI

430

Cronos/Tether (CROUSDT)

+ Rate Of Change Trend Strategy (ROC)

@ Daily

1.48

Profit Factor

4,655.24 %

Total ROI

103

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Active Trades

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Rate Of Change Trend Strategy (ROC) 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.

175
Backtests run
1.2
Avg profit factor
+659%
Avg net profit
+21%
Avg annualized return
61%
Avg max drawdown
0.12
Avg Sharpe ratio

On average, backtests of this strategy beat a buy-and-hold baseline by 586% over the same window.

Performance by asset class

MarketBacktestsAvg profit factorAvg net profitAvg max drawdownAvg Sharpe
Crypto981.2+922%80%0.15
Stocks1,1041.2+588%58%0.11
Forex72——15%—

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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