Linear trend

Script from: TradingViewSwingTrend followingMomentumCandlestick

Use Linear Regression (LR) as an oscillator by subtracting a slow from a fast LR, creating a line around zero. Open trades when LR crosses above a threshold, and close when it crosses below. Implement EMA 200 as a trend filter; trade only when prices are above EMA 200. This strategy leverages trend momentum for potential gains.

Top 109 Backtests of Linear trend

Explore the most profitable cryptocurrency and stock backtests with Linear trend Strategy (on TradingView).

Filters

Premium users only

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

@ Daily

5.64

Risk Reward

417.89 %

Total ROI

Premium users only

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

@ Daily

3.42

Risk Reward

115.59 %

Total ROI

Premium users only

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

@ Daily

3.41

Risk Reward

186.74 %

Total ROI

Premium users only

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

@ Daily

3.22

Risk Reward

261.95 %

Total ROI

Tesla, Inc. (TSLA)

+ Linear trend

@ Daily

2.86

Risk Reward

615.40 %

Total ROI

Costco Wholesale Corporation (COST)

+ Linear trend

@ Daily

2.74

Risk Reward

119.84 %

Total ROI

Eli Lilly and Company (LLY)

+ Linear trend

@ Daily

2.47

Risk Reward

260.66 %

Total ROI

Robinhood Markets, Inc. (HOOD)

+ Linear trend

@ 4 h

2.46

Risk Reward

230.28 %

Total ROI

Sandisk Corporation (SNDK)

+ Linear trend

@ 1 h

2.44

Risk Reward

433.74 %

Total ROI

MicroStrategy Incorporated (MSTR)

+ Linear trend

@ Daily

2.43

Risk Reward

2,171.15 %

Total ROI

Sandisk Corporation (SNDK)

+ Linear trend

@ 2 h

2.35

Risk Reward

426.76 %

Total ROI

Fetch.AI / TetherUS (FETUSDT)

+ Linear trend

@ Daily

2.26

Risk Reward

3,316.13 %

Total ROI

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Active Trades

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Linear trend 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.

109

Backtests run

1.5

Avg profit factor

+410%

Avg net profit

+29%

Avg annualized return

46%

Avg max drawdown

0.15

Avg Sharpe ratio

On average, backtests of this strategy beat a buy-and-hold baseline by 255% over the same window.

Performance by asset class

Market	Backtests	Avg profit factor	Avg net profit	Avg max drawdown	Avg Sharpe
Crypto	92	1.3	+466%	44%	0.15
Stocks	630	1.7	+349%	35%	0.16

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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