# Hologic, Inc. (HOLX)

driven by our ethos, the science of sure, we’re a diverse, dedicated, creative team that develops, markets and services some of the most innovative and accurate diagnostic imaging systems and surgical products on the planet. while we’re focused and passionate about our work, we never forget that what we’re really doing is giving people greater confidence and peace of mind in their diagnosis—enabling healthier lives, everywhere, every day. connect with us at hologic.com, on facebook at facebook.com/hologicjobs, and on twitter @hologic_jobs.

## Stock Price Trends

Stock price trends estimated using linear regression.

#### Key facts

• The primary trend is decreasing.
• The decline rate of the primary trend is 33.41% per annum.
• HOLX price at the close of November 28, 2023 was \$69.87 and was higher than the top border of the primary price channel by \$0.21 (0.31%). This indicates a possible reversal in the primary trend direction.
• The secondary trend is increasing.
• The growth rate of the secondary trend is 350.98% per annum.
• HOLX price at the close of November 28, 2023 was lower than the bottom border of the secondary price channel by \$2.71 (3.73%). This indicates a possible reversal in the secondary trend direction.
• 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 HOLX 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: April 5, 2023
End date: November 9, 2023

a = 6.2273

b = -0.0011

s = 0.0245

Annual growth rate:

Exp(365 × b) – 1
= Exp(365 × -0.0011) – 1
= -33.41%

Exp(4 × s) – 1
= Exp(4 × 0.0245) – 1
= 10.31%

#### April 5, 2023 calculations

Top border of price channel:

Exp(Y1,093)
= Exp(a + b × X1,093 + 2 × s)
= Exp(a + b × 1,588 + 2 × s)
= Exp(6.2273 + -0.0011 × 1,588 + 2 × 0.0245)
= Exp(4.5076)
= \$90.70

Bottom border of price channel:

Exp(Y1,093)
= Exp(a + b × X1,093 – 2 × s)
= Exp(a + b × 1,588 – 2 × s)
= Exp(6.2273 + -0.0011 × 1,588 – 2 × 0.0245)
= Exp(4.4095)
= \$82.22

#### November 9, 2023 calculations

Top border of price channel:

Exp(Y1,244)
= Exp(a + b × X1,244 + 2 × s)
= Exp(a + b × 1,806 + 2 × s)
= Exp(6.2273 + -0.0011 × 1,806 + 2 × 0.0245)
= Exp(4.2648)
= \$71.15

Bottom border of price channel:

Exp(Y1,244)
= Exp(a + b × X1,244 – 2 × s)
= Exp(a + b × 1,806 – 2 × s)
= Exp(6.2273 + -0.0011 × 1,806 – 2 × 0.0245)
= Exp(4.1666)
= \$64.50

### Secondary Trend

Start date: October 25, 2023
End date: November 22, 2023

a = -3.2135

b = 0.0041

s = 0.0165

Annual growth rate:

Exp(365 × b) – 1
= Exp(365 × 0.0041) – 1
= 350.98%

Exp(4 × s) – 1
= Exp(4 × 0.0165) – 1
= 6.83%

#### October 25, 2023 calculations

Top border of price channel:

Exp(Y1,233)
= Exp(a + b × X1,233 + 2 × s)
= Exp(a + b × 1,791 + 2 × s)
= Exp(-3.2135 + 0.0041 × 1,791 + 2 × 0.0165)
= Exp(4.2104)
= \$67.38

Bottom border of price channel:

Exp(Y1,233)
= Exp(a + b × X1,233 – 2 × s)
= Exp(a + b × 1,791 – 2 × s)
= Exp(-3.2135 + 0.0041 × 1,791 – 2 × 0.0165)
= Exp(4.1443)
= \$63.08

#### November 22, 2023 calculations

Top border of price channel:

Exp(Y1,253)
= Exp(a + b × X1,253 + 2 × s)
= Exp(a + b × 1,819 + 2 × s)
= Exp(-3.2135 + 0.0041 × 1,819 + 2 × 0.0165)
= Exp(4.3259)
= \$75.64

Bottom border of price channel:

Exp(Y1,253)
= Exp(a + b × X1,253 – 2 × s)
= Exp(a + b × 1,819 – 2 × s)
= Exp(-3.2135 + 0.0041 × 1,819 – 2 × 0.0165)
= Exp(4.2599)
= \$70.80