Stock Price Trends

Mueller Industries Inc (MLI)

Mueller Industries, Inc. is a leading manufacturer of a diverse range of metal and plastic products, specializing in copper, brass, aluminum, and plastic solutions for various industrial applications. With a strong global presence that spans the United States, Canada, the United Kingdom, South Korea, the Middle East, China, and Mexico, the company is well-positioned to capitalize on growing demand across multiple sectors. Headquartered in Collierville, Tennessee, Mueller Industries is recognized for its commitment to quality and innovation, making it a key player in the manufacturing landscape.

Stock Price Trends

Stock price trends estimated using linear regression.

Paying users area

The data is hidden behind and trends are not shown in the charts.
Unhide data and trends.

Get full access to the entire website.

This is a one-time payment. There is no automatic renewal.

Key facts

  • The primary trend is increasing.
  • The growth rate of the primary trend is 111.15% per annum.
  • MLI price at the close of October 17, 2025 was $98.57 and was inside the primary price channel.
  • The secondary trend is decreasing.
  • The decline rate of the secondary trend is 26.24% per annum.
  • MLI price at the close of October 17, 2025 was inside the secondary price channel.
  • The direction of the secondary trend is opposite to the direction of the primary trend. This indicates a possible reversal in the direction of the primary trend.

Linear Regression Model

Model equation:
Yi = α + β × Xi + εi

Top border of price channel:
Exp(Yi) = Exp(a + b × Xi + 2 × s)

Bottom border of price channel:
Exp(Yi) = Exp(a + b × Xi – 2 × s)

where:

i - observation number
Yi - natural logarithm of MLI price
Xi - time index, 1 day interval
σ - standard deviation of εi
a - estimator of α
b - estimator of β
s - estimator of σ
Exp() - calculates the exponent of e


Primary Trend

Start date:
End date:

a =

b =

s =

Annual growth rate:

Exp(365 × b) – 1
= Exp(365 × ) – 1
=

Price channel spread:

Exp(4 × s) – 1
= Exp(4 × ) – 1
=

April 4, 2025 calculations

Top border of price channel:

Exp(Y)
= Exp(a + b × X + 2 × s)
= Exp(a + b × + 2 × s)
= Exp( + × + 2 × )
= Exp()
= $

Bottom border of price channel:

Exp(Y)
= Exp(a + b × X – 2 × s)
= Exp(a + b × – 2 × s)
= Exp( + × – 2 × )
= Exp()
= $

October 15, 2025 calculations

Top border of price channel:

Exp(Y)
= Exp(a + b × X + 2 × s)
= Exp(a + b × + 2 × s)
= Exp( + × + 2 × )
= Exp()
= $

Bottom border of price channel:

Exp(Y)
= Exp(a + b × X – 2 × s)
= Exp(a + b × – 2 × s)
= Exp( + × – 2 × )
= Exp()
= $

Description

  • The primary trend is increasing.
  • The growth rate of the primary trend is 111.15% per annum.
  • MLI price at the close of October 17, 2025 was $98.57 and was inside the primary price channel.

Secondary Trend

Start date:
End date:

a =

b =

s =

Annual growth rate:

Exp(365 × b) – 1
= Exp(365 × ) – 1
=

Price channel spread:

Exp(4 × s) – 1
= Exp(4 × ) – 1
=

September 18, 2025 calculations

Top border of price channel:

Exp(Y)
= Exp(a + b × X + 2 × s)
= Exp(a + b × + 2 × s)
= Exp( + × + 2 × )
= Exp()
= $

Bottom border of price channel:

Exp(Y)
= Exp(a + b × X – 2 × s)
= Exp(a + b × – 2 × s)
= Exp( + × – 2 × )
= Exp()
= $

October 17, 2025 calculations

Top border of price channel:

Exp(Y)
= Exp(a + b × X + 2 × s)
= Exp(a + b × + 2 × s)
= Exp( + × + 2 × )
= Exp()
= $

Bottom border of price channel:

Exp(Y)
= Exp(a + b × X – 2 × s)
= Exp(a + b × – 2 × s)
= Exp( + × – 2 × )
= Exp()
= $

Description

  • The secondary trend is decreasing.
  • The decline rate of the secondary trend is 26.24% per annum.
  • MLI price at the close of October 17, 2025 was inside the secondary price channel.