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ETH DCA Strategy [3Commas & Quantpilot]

Script from: TradingViewSwing

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ 2 h

49,219.05

Risk Reward

9.84 %

Total ROI

28

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ 4 h

1,294.91

Risk Reward

8.87 %

Total ROI

17

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ 2 h

419.67

Risk Reward

18.53 %

Total ROI

19

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ Daily

294.03

Risk Reward

11.61 %

Total ROI

19

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ 2 h

264.01

Risk Reward

11.69 %

Total ROI

34

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ 15 min

236.34

Risk Reward

10.84 %

Total ROI

30

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ Daily

211.69

Risk Reward

16.79 %

Total ROI

17

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ 2 h

162.73

Risk Reward

20.13 %

Total ROI

36

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ Daily

157.49

Risk Reward

17.17 %

Total ROI

28

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ 2 h

155.49

Risk Reward

80.01 %

Total ROI

53

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ 1 h

127.90

Risk Reward

10.17 %

Total ROI

16

Premium users only

Premium users can access all backtests with a Risk/Reward Ratio > 3

@ 4 h

127.30

Risk Reward

71.57 %

Total ROI

45

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Active Trades

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ETH DCA Strategy [3Commas & Quantpilot] 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.

252
Backtests run
>10
Avg profit factor
+50%
Avg net profit
+21%
Avg annualized return
19%
Avg max drawdown
0.56
Avg Sharpe ratio

On average, backtests of this strategy lagged a buy-and-hold baseline by 224% over the same window.

Performance by asset class

MarketBacktestsAvg profit factorAvg net profitAvg max drawdownAvg Sharpe
Crypto94>10+104%0.85
Stocks347>10+28%15%0.44
Forex67>10+10%4%0.01

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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