# Artivion, Inc. (AORT)

cryolife, headquartered in georgia, is a leader in the processing and distribution of human tissues for use in cardiac and vascular surgeries. cryolife using its proprietary synergraft® technology processes the cryovalve® sg pulmonary heart valve and cryopatch® sg pulmonary cardiac patch. cryolife’s bioglue® surgical adhesive is approved in the u.s. for use as an adjunct to sutures and staples to help control bleeding, ce marked in the european community, approved in canada and australia for use in soft tissue repair, and in japan for use in the repair of aortic dissections. cryolife’s cardiogenesis specializes in the treatment of severe angina using a laser console system and fiber-optic handpieces to perform a surgical procedure known as transmyocardial revascularization (tmr). cryolife markets the hero® graft, which provides vascular access for hemodialysis patients. cryolife distributes perclot®, an absorbable powdered hemostat, in international markets. cryolife’s biofoam® surgica

## 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 58.19% per annum.
- AORT price at the close of February 16, 2024 was $18.81 and was inside the primary price channel.
- The secondary trend is increasing.
- The growth rate of the secondary trend is 32.51% per annum.
- AORT price at the close of February 16, 2024 was inside the secondary price channel.

### Linear Regression Model

Model equation:

Y_{i} = α + β × X_{i} + ε_{i}

Top border of price channel:

Exp(Y_{i}) = Exp(a + b × X_{i} + 2 × s)

Bottom border of price channel:

Exp(Y_{i}) = Exp(a + b × X_{i} – 2 × s)

where:

i - observation number

Y_{i} - natural logarithm of AORT price

X_{i} - time index, 1 day interval

σ - standard deviation of ε_{i}

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

=

#### October 5, 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()

= $

#### September 11, 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()

= $

#### Description

- The primary trend is increasing.
- The growth rate of the primary trend is 58.19% per annum.
- AORT price at the close of February 16, 2024 was $18.81 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 10, 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()

= $

#### February 15, 2024 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 32.51% per annum.
- AORT price at the close of February 16, 2024 was inside the secondary price channel.