Stock Price Trends

MarineMax Inc (HZO)

MarineMax, Inc. (HZO) is a leading retailer of yachts and luxury pleasure boats in the United States, headquartered in Clearwater, Florida. With a robust portfolio of well-known marine brands, MarineMax specializes in providing an exceptional customer experience through its extensive retail network and comprehensive services, including financing, insurance, and maintenance. The company's strategic focus on premium products and its commitment to enhancing the boating lifestyle have positioned it as a key player in the recreational marine market, catering to a diverse clientele of boating enthusiasts.

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 26.38% per annum.
  • HZO price at the close of February 11, 2026 was $28.74 and was inside the primary price channel.
  • The secondary trend is increasing.
  • The growth rate of the secondary trend is 198.81% per annum.
  • HZO price at the close of February 11, 2026 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 HZO 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
=

March 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()
= $

February 11, 2026 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 26.38% per annum.
  • HZO price at the close of February 11, 2026 was $28.74 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
=

November 12, 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()
= $

February 11, 2026 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 increasing.
  • The growth rate of the secondary trend is 198.81% per annum.
  • HZO price at the close of February 11, 2026 was inside the secondary price channel.