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Support Resistance Strategy

Script from: TradingViewSwingPrice actionTrend followingBreakoutReversal

The Support Resistance Strategy involves identifying key price levels where a stock historically has difficulty moving above (resistance) or below (support). Traders use these levels to make informed decisions on entry and exit points, anticipating price reversals or breakouts.

Premium users only

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

@ Daily

4.06

Risk Reward

600.91 %

Total ROI

19

Premium users only

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

@ Daily

3.64

Risk Reward

469.98 %

Total ROI

16

Premium users only

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

@ Daily

3.28

Risk Reward

4,663.95 %

Total ROI

27

QuantumScape Corporation (QS)

+ Support Resistance Strategy

@ Daily

2.80

Risk Reward

485.00 %

Total ROI

19

Oklo Inc. (OKLO)

+ Support Resistance Strategy

@ Daily

2.48

Risk Reward

392.32 %

Total ROI

24

Applied UV, Inc. (AUVI)

+ Support Resistance Strategy

@ Daily

2.08

Risk Reward

606.35 %

Total ROI

16

Cronos/Tether (CROUSDT)

+ Support Resistance Strategy

@ Daily

1.96

Risk Reward

12,096.45 %

Total ROI

50

Enovix Corporation (ENVX)

+ Support Resistance Strategy

@ Daily

1.85

Risk Reward

228.10 %

Total ROI

18

SEALSQ Corp (LAES)

+ Support Resistance Strategy

@ 2 h

1.60

Risk Reward

139.30 %

Total ROI

17

Robinhood Markets, Inc. (HOOD)

+ Support Resistance Strategy

@ 2 h

1.45

Risk Reward

422.08 %

Total ROI

125

CrowdStrike Holdings, Inc. (CRWD)

+ Support Resistance Strategy

@ 1 h

1.38

Risk Reward

1,854.89 %

Total ROI

325

Riot Platforms, Inc. (RIOT)

+ Support Resistance Strategy

@ Daily

1.34

Risk Reward

292.31 %

Total ROI

110

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Active Trades

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Support Resistance 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.

96
Backtests run
1.2
Avg profit factor
+796%
Avg net profit
+29%
Avg annualized return
64%
Avg max drawdown
0.15
Avg Sharpe ratio

On average, backtests of this strategy beat a buy-and-hold baseline by 795% over the same window.

Performance by asset class

MarketBacktestsAvg profit factorAvg net profitAvg max drawdownAvg Sharpe
Crypto861.4+993%74%0.20
Stocks1,3551.2+749%62%0.14
Forex721.2+425%44%0.04

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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