# Motorola Solutions, Inc. (MSI)

motorola solutions, inc. (www.motorolasolutions.com), provides mission-critical communications products and services to public safety and commercial customers around the world. our innovations, products, and services play essential roles in people's lives. we help firefighters see around buildings and police officers see around street corners. we provide the situational awareness first responders need when a moment brings catastrophe. we do this by connecting them to seamless communication networks, applications and services, by providing them with real-time information, and by arming them with intuitive, nearly indestructible handheld devices. motorola solutions helps people be their best in the moments that matter. learn more at www.motorolasolutions.com.

## 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 48.22% per annum.
• MSI price at the close of March 1, 2024 was \$335.56 and was lower than the bottom border of the primary price channel by \$220.43 (39.65%). This indicates a possible reversal in the primary trend direction.
• The secondary trend is increasing.
• The growth rate of the secondary trend is 18.60% per annum.
• MSI price at the close of March 1, 2024 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 MSI 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
=

#### March 12, 2020 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()
= \$

#### January 14, 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()
= \$

#### Description

• The primary trend is increasing.
• The growth rate of the primary trend is 48.22% per annum.
• MSI price at the close of March 1, 2024 was \$335.56 and was lower than the bottom border of the primary price channel by \$220.43 (39.65%). This indicates a possible reversal in the primary trend direction.

### 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
=

#### October 7, 2020 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()
= \$

#### March 1, 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 18.60% per annum.
• MSI price at the close of March 1, 2024 was inside the secondary price channel.