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.

Top 99 Backtests of Support Resistance Strategy

Explore the most profitable cryptocurrency and stock backtests with Support Resistance Strategy (on TradingView).

Filters

Premium users only

Premium users can access all backtests with a profit factor above 3

@ Daily

4.06

Profit Factor

600.91 %

Total ROI

Premium users only

Premium users can access all backtests with a profit factor above 3

@ Daily

3.64

Profit Factor

469.98 %

Total ROI

QuantumScape Corporation (QS)

+ Support Resistance Strategy

@ Daily

2.80

Profit Factor

485.00 %

Total ROI

IREN LIMITED (IREN)

+ Support Resistance Strategy

@ Daily

2.80

Profit Factor

4,313.46 %

Total ROI

Oklo Inc. (OKLO)

+ Support Resistance Strategy

@ Daily

2.48

Profit Factor

392.32 %

Total ROI

Applied UV, Inc. (AUVI)

+ Support Resistance Strategy

@ Daily

2.08

Profit Factor

606.35 %

Total ROI

Enovix Corporation (ENVX)

+ Support Resistance Strategy

@ Daily

1.85

Profit Factor

228.10 %

Total ROI

SEALSQ Corp (LAES)

+ Support Resistance Strategy

@ 2 h

1.60

Profit Factor

139.30 %

Total ROI

Cronos/Tether (CROUSDT)

+ Support Resistance Strategy

@ Daily

1.36

Profit Factor

6,046.07 %

Total ROI

Riot Platforms, Inc. (RIOT)

+ Support Resistance Strategy

@ Daily

1.34

Profit Factor

292.31 %

Total ROI

110

CrowdStrike Holdings, Inc. (CRWD)

+ Support Resistance Strategy

@ 1 h

1.31

Profit Factor

1,759.59 %

Total ROI

329

Mantle (MNTUSD)

+ Support Resistance Strategy

@ 2 h

1.30

Profit Factor

10.40 %

Total ROI

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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.

Backtests run

1.2

Avg profit factor

+723%

Avg net profit

+30%

Avg annualized return

63%

Avg max drawdown

0.15

Avg Sharpe ratio

On average, backtests of this strategy beat a buy-and-hold baseline by 725% over the same window.

Performance by asset class

Market	Backtests	Avg profit factor	Avg net profit	Avg max drawdown	Avg Sharpe
Crypto	86	1.4	+985%	74%	0.20
Stocks	1,355	1.2	+688%	62%	0.13
Forex	72	1.2	+426%	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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