# Heartland Express, Inc. (HTLD)

heartland express customers represent the most successful businesses in the world. the top shippers in america depend on heartland express to improve business performance, deliver exceptional results to their customers, and drive overall value into their transportation supply chain. heartland express brings together industry experience, state of the art equipment and technology, and good people with a vision to be the best, to serve the truckload transportation needs of the top shippers in america. a leader in transportation and logistics, heartland express provides collaborative truckload transportation service that enables companies to deliver exceptional service across their transportation network to improve customer satisfaction. companies choose heartland express for its award winning on-time pickup and delivery, fleet capacity to cover commitments scaled to their needs, leadership in providing information about their shipments, and its performance in moving beyond the transac

## Stock Price Trends

Stock price trends estimated using linear regression.

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#### Key facts

• The primary trend is increasing.
• The growth rate of the primary trend is 10.85% per annum.
• HTLD price at the close of November 28, 2023 was \$13.31 and was lower than the bottom border of the primary price channel by \$2.04 (13.29%). This indicates a possible reversal in the primary trend direction.
• The secondary trend is decreasing.
• The decline rate of the secondary trend is 8.78% per annum.
• HTLD price at the close of November 28, 2023 was lower than the bottom border of the secondary price channel by \$0.70 (4.98%).
• 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 HTLD 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
=

Exp(4 × s) – 1
= Exp(4 × ) – 1
=

#### January 26, 2022 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()
= \$

#### August 7, 2023 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()
= \$

### Secondary Trend

Start date:
End date:

a =

b =

s =

Annual growth rate:

Exp(365 × b) – 1
= Exp(365 × ) – 1
=

Exp(4 × s) – 1
= Exp(4 × ) – 1
=

#### November 15, 2022 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 25, 2023 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()
= \$