MetaCap

Patrick Industries (PATK) Stock Chart

NASDAQ: PATKConsumer CyclicalRecreational VehiclesUSD

64.92-1.72 (-2.58%)

At close: Oct 7, 4:00 PM ET · Delayed 15 min

PATK technical summary

PATK is trading 17.1% below its 50-day simple moving average of $78.33 and 34.7% below its 200-day average of $99.45. The 50-day average is below the 200-day average, a configuration technical analysts associate with a longer-term downtrend. The 14-day Relative Strength Index (RSI) is 26.1, below 30, the level many traders consider oversold.

Over the past year, the stock ranged from $64.30 (Oct 7, 2026) to $148.50 (Feb 12, 2026); the current price sits 1% of the way from the low to the high. Annualized 30-day volatility is 26.6%. Based on the last session's high, low and close, the classic pivot point is $65.26, with first resistance at $66.22 and first support at $63.96.

These indicators describe past price behavior for Patrick Industries; they are not predictions.

Summary generated from market data by MetaCap's automated system. Methodology

Technical indicators

Beta
—
1Y high
148.50 (Feb 12)
1Y low
64.30 (Oct 7)
Last close
64.92

PATK price performance

1 week

-4.22%

1 month

-19.26%

3 months

-21.86%

6 months

-46.39%

Year to date

-40.13%

1 year

-34.88%

3 years

+34.97%

5 years

+19.22%

PATK price return, excluding dividends.

Moving averages

Simple and exponential moving averages
PeriodSimple (SMA)Exponential (EMA)
5-day66.37Price below66.37Price below
10-day67.40Price below67.48Price below
20-day69.22Price below70.06Price below
50-day78.33Price below76.23Price below
100-day83.05Price below83.05Price below
200-day99.45Price below94.50Price below

Moving averages are computed from daily closing prices over the past year. What is a moving average?

Pivot points

Classic pivot points
LevelPrice
Resistance 3 (R3)68.47
Resistance 2 (R2)67.52
Resistance 1 (R1)66.22
Pivot point65.26
Support 1 (S1)63.96
Support 2 (S2)63.01
Support 3 (S3)61.71

Classic floor-trader pivots from the last session's high, low and close. How pivot points work

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