Stock Price Trends

Axcelis Technologies, Inc. (ACLS)

axcelis technologies, inc. is a world-leading provider of equipment and services to the semiconductor manufacturing industry. for thirty five years, chipmakers from around the globe have relied on axcelis'​ tools and process expertise to form the transistors that power all electronics - from smartphones and laptops, cameras, personal music players and more. our equipment portfolio comprises a powerful suite of manufacturing technologies for ion implantation, one of the most critical steps in the ic manufacturing process. in addition, we provide extensive aftermarket service and support, including spare parts, equipment upgrades, maintenance services, and customer training. our customers include all of the 20 largest semiconductor manufacturers in the world. more than 3000 of our products are in use worldwide. at our advanced technology center in beverly, mass., we collaborate with customers and other industry experts to develop next-generation applications and process capabilities. we

Stock Price Trends

Stock price trends estimated using linear regression.

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Key facts

  • The primary trend is decreasing.
  • The decline rate of the primary trend is 53.98% per annum.
  • ACLS price at the close of March 1, 2024 was $116.27 and was inside the primary price channel.
  • The secondary trend is decreasing.
  • The decline rate of the secondary trend is 90.43% per annum.
  • ACLS price at the close of March 1, 2024 was higher than the top border of the secondary price channel by $2.09 (1.83%). This indicates a possible reversal in the secondary trend direction.

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 ACLS 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
=

June 27, 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()
= $

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 primary trend is decreasing.
  • The decline rate of the primary trend is 53.98% per annum.
  • ACLS price at the close of March 1, 2024 was $116.27 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
=

January 22, 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()
= $

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 decreasing.
  • The decline rate of the secondary trend is 90.43% per annum.
  • ACLS price at the close of March 1, 2024 was higher than the top border of the secondary price channel by $2.09 (1.83%). This indicates a possible reversal in the secondary trend direction.