Stock Price Trends

Dycom Industries Inc (DY)

Dycom Industries, Inc. is a leading provider of specialty contracting services focused on infrastructure and telecommunications throughout the United States. Based in Palm Beach Gardens, Florida, the company offers a comprehensive suite of services that includes engineering, construction, and maintenance of communication networks. With a robust portfolio that supports the demands of broadband expansion and telecommunications modernization, Dycom is well-positioned to benefit from the ongoing transformation in the digital landscape. The company's expertise and strategic relationships with major telecommunications providers underpin its strong market presence and growth potential.

Stock Price Trends

Stock price trends estimated using linear regression.

Key facts

  • The primary trend is increasing.
  • The growth rate of the primary trend is 54.09% per annum.
  • DY price at the close of November 7, 2025 was $286.41 and was inside the primary price channel.
  • The secondary trend is increasing.
  • The growth rate of the secondary trend is 199.68% per annum.
  • DY price at the close of November 7, 2025 was inside the secondary price channel.

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 DY 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: February 2, 2023
End date: November 7, 2025

a = 3.4341

b = 0.0012

s = 0.1349

Annual growth rate:

Exp(365 × b) – 1
= Exp(365 × 0.0012) – 1
= 54.09%

Price channel spread:

Exp(4 × s) – 1
= Exp(4 × 0.1349) – 1
= 71.54%

February 2, 2023 calculations

Top border of price channel:

Exp(Y561)
= Exp(a + b × X561 + 2 × s)
= Exp(a + b × 815 + 2 × s)
= Exp(3.4341 + 0.0012 × 815 + 2 × 0.1349)
= Exp(4.6693)
= $106.62

Bottom border of price channel:

Exp(Y561)
= Exp(a + b × X561 – 2 × s)
= Exp(a + b × 815 – 2 × s)
= Exp(3.4341 + 0.0012 × 815 – 2 × 0.1349)
= Exp(4.1297)
= $62.16

November 7, 2025 calculations

Top border of price channel:

Exp(Y1,255)
= Exp(a + b × X1,255 + 2 × s)
= Exp(a + b × 1,824 + 2 × s)
= Exp(3.4341 + 0.0012 × 1,824 + 2 × 0.1349)
= Exp(5.8645)
= $352.30

Bottom border of price channel:

Exp(Y1,255)
= Exp(a + b × X1,255 – 2 × s)
= Exp(a + b × 1,824 – 2 × s)
= Exp(3.4341 + 0.0012 × 1,824 – 2 × 0.1349)
= Exp(5.3248)
= $205.38

Description

  • The primary trend is increasing.
  • The growth rate of the primary trend is 54.09% per annum.
  • DY price at the close of November 7, 2025 was $286.41 and was inside the primary price channel.

Secondary Trend

Start date: February 26, 2025
End date: November 7, 2025

a = 0.3015

b = 0.0030

s = 0.0906

Annual growth rate:

Exp(365 × b) – 1
= Exp(365 × 0.0030) – 1
= 199.68%

Price channel spread:

Exp(4 × s) – 1
= Exp(4 × 0.0906) – 1
= 43.70%

February 26, 2025 calculations

Top border of price channel:

Exp(Y1,078)
= Exp(a + b × X1,078 + 2 × s)
= Exp(a + b × 1,570 + 2 × s)
= Exp(0.3015 + 0.0030 × 1,570 + 2 × 0.0906)
= Exp(5.2037)
= $181.95

Bottom border of price channel:

Exp(Y1,078)
= Exp(a + b × X1,078 – 2 × s)
= Exp(a + b × 1,570 – 2 × s)
= Exp(0.3015 + 0.0030 × 1,570 – 2 × 0.0906)
= Exp(4.8412)
= $126.62

November 7, 2025 calculations

Top border of price channel:

Exp(Y1,255)
= Exp(a + b × X1,255 + 2 × s)
= Exp(a + b × 1,824 + 2 × s)
= Exp(0.3015 + 0.0030 × 1,824 + 2 × 0.0906)
= Exp(5.9675)
= $390.54

Bottom border of price channel:

Exp(Y1,255)
= Exp(a + b × X1,255 – 2 × s)
= Exp(a + b × 1,824 – 2 × s)
= Exp(0.3015 + 0.0030 × 1,824 – 2 × 0.0906)
= Exp(5.6050)
= $271.78

Description

  • The secondary trend is increasing.
  • The growth rate of the secondary trend is 199.68% per annum.
  • DY price at the close of November 7, 2025 was inside the secondary price channel.