Stock Price Trends

Agilent Technologies Inc (A)

Agilent Technologies, Inc. is an American analytical instrumentation development and manufacturing company that offers its products and services to markets worldwide. Its global headquarters is located in Santa Clara, California.

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 6.28% per annum.
  • A price at the close of July 25, 2024 was $134.98 and was inside the primary price channel.
  • The secondary trend is increasing.
  • The growth rate of the secondary trend is 30.53% per annum.
  • A price at the close of July 25, 2024 was inside the secondary price channel.
  • 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 A 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, 2021
End date: February 27, 2024

a = 5.0969

b = -0.0002

s = 0.0964

Annual growth rate:

Exp(365 × b) – 1
= Exp(365 × -0.0002) – 1
= -6.28%

Price channel spread:

Exp(4 × s) – 1
= Exp(4 × 0.0964) – 1
= 47.05%

April 5, 2021 calculations

Top border of price channel:

Exp(Y425)
= Exp(a + b × X425 + 2 × s)
= Exp(a + b × 619 + 2 × s)
= Exp(5.0969 + -0.0002 × 619 + 2 × 0.0964)
= Exp(5.1798)
= $177.64

Bottom border of price channel:

Exp(Y425)
= Exp(a + b × X425 – 2 × s)
= Exp(a + b × 619 – 2 × s)
= Exp(5.0969 + -0.0002 × 619 – 2 × 0.0964)
= Exp(4.7941)
= $120.80

February 27, 2024 calculations

Top border of price channel:

Exp(Y1,154)
= Exp(a + b × X1,154 + 2 × s)
= Exp(a + b × 1,677 + 2 × s)
= Exp(5.0969 + -0.0002 × 1,677 + 2 × 0.0964)
= Exp(4.9918)
= $147.20

Bottom border of price channel:

Exp(Y1,154)
= Exp(a + b × X1,154 – 2 × s)
= Exp(a + b × 1,677 – 2 × s)
= Exp(5.0969 + -0.0002 × 1,677 – 2 × 0.0964)
= Exp(4.6062)
= $100.10

Description

  • The primary trend is decreasing.
  • The decline rate of the primary trend is 6.28% per annum.
  • A price at the close of July 25, 2024 was $134.98 and was inside the primary price channel.

Secondary Trend

Start date: May 24, 2023
End date: May 29, 2024

a = 3.6814

b = 0.0007

s = 0.0680

Annual growth rate:

Exp(365 × b) – 1
= Exp(365 × 0.0007) – 1
= 30.53%

Price channel spread:

Exp(4 × s) – 1
= Exp(4 × 0.0680) – 1
= 31.27%

May 24, 2023 calculations

Top border of price channel:

Exp(Y964)
= Exp(a + b × X964 + 2 × s)
= Exp(a + b × 1,398 + 2 × s)
= Exp(3.6814 + 0.0007 × 1,398 + 2 × 0.0680)
= Exp(4.8381)
= $126.23

Bottom border of price channel:

Exp(Y964)
= Exp(a + b × X964 – 2 × s)
= Exp(a + b × 1,398 – 2 × s)
= Exp(3.6814 + 0.0007 × 1,398 – 2 × 0.0680)
= Exp(4.5660)
= $96.16

May 29, 2024 calculations

Top border of price channel:

Exp(Y1,218)
= Exp(a + b × X1,218 + 2 × s)
= Exp(a + b × 1,769 + 2 × s)
= Exp(3.6814 + 0.0007 × 1,769 + 2 × 0.0680)
= Exp(5.1089)
= $165.49

Bottom border of price channel:

Exp(Y1,218)
= Exp(a + b × X1,218 – 2 × s)
= Exp(a + b × 1,769 – 2 × s)
= Exp(3.6814 + 0.0007 × 1,769 – 2 × 0.0680)
= Exp(4.8368)
= $126.07

Description

  • The secondary trend is increasing.
  • The growth rate of the secondary trend is 30.53% per annum.
  • A price at the close of July 25, 2024 was inside the secondary price channel.