Stock Price Trends

Enersys (ENS)

EnerSys provides various stored energy solutions for industrial applications globally. The company is headquartered in Reading, Pennsylvania.

Stock Price Trends

Stock price trends estimated using linear regression.

Key facts

  • The primary trend is increasing.
  • The growth rate of the primary trend is 51.96% per annum.
  • ENS price at the close of November 19, 2024 was $94.11 and was lower than the bottom border of the primary price channel by $47.62 (33.60%). This indicates a possible reversal in the primary trend direction.
  • The secondary trend is increasing.
  • The growth rate of the secondary trend is 0.94% per annum.
  • ENS price at the close of November 19, 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 ENS 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 7, 2022
End date: September 25, 2023

a = 3.0353

b = 0.0011

s = 0.0874

Annual growth rate:

Exp(365 × b) – 1
= Exp(365 × 0.0011) – 1
= 51.96%

Price channel spread:

Exp(4 × s) – 1
= Exp(4 × 0.0874) – 1
= 41.83%

April 7, 2022 calculations

Top border of price channel:

Exp(Y599)
= Exp(a + b × X599 + 2 × s)
= Exp(a + b × 869 + 2 × s)
= Exp(3.0353 + 0.0011 × 869 + 2 × 0.0874)
= Exp(4.2063)
= $67.10

Bottom border of price channel:

Exp(Y599)
= Exp(a + b × X599 – 2 × s)
= Exp(a + b × 869 – 2 × s)
= Exp(3.0353 + 0.0011 × 869 – 2 × 0.0874)
= Exp(3.8568)
= $47.31

September 25, 2023 calculations

Top border of price channel:

Exp(Y966)
= Exp(a + b × X966 + 2 × s)
= Exp(a + b × 1,405 + 2 × s)
= Exp(3.0353 + 0.0011 × 1,405 + 2 × 0.0874)
= Exp(4.8207)
= $124.06

Bottom border of price channel:

Exp(Y966)
= Exp(a + b × X966 – 2 × s)
= Exp(a + b × 1,405 – 2 × s)
= Exp(3.0353 + 0.0011 × 1,405 – 2 × 0.0874)
= Exp(4.4713)
= $87.47

Description

  • The primary trend is increasing.
  • The growth rate of the primary trend is 51.96% per annum.
  • ENS price at the close of November 19, 2024 was $94.11 and was lower than the bottom border of the primary price channel by $47.62 (33.60%). This indicates a possible reversal in the primary trend direction.

Secondary Trend

Start date: May 25, 2023
End date: November 19, 2024

a = 4.5378

b = 0.0000

s = 0.0640

Annual growth rate:

Exp(365 × b) – 1
= Exp(365 × 0.0000) – 1
= 0.94%

Price channel spread:

Exp(4 × s) – 1
= Exp(4 × 0.0640) – 1
= 29.20%

May 25, 2023 calculations

Top border of price channel:

Exp(Y883)
= Exp(a + b × X883 + 2 × s)
= Exp(a + b × 1,282 + 2 × s)
= Exp(4.5378 + 0.0000 × 1,282 + 2 × 0.0640)
= Exp(4.6986)
= $109.80

Bottom border of price channel:

Exp(Y883)
= Exp(a + b × X883 – 2 × s)
= Exp(a + b × 1,282 – 2 × s)
= Exp(4.5378 + 0.0000 × 1,282 – 2 × 0.0640)
= Exp(4.4424)
= $84.98

November 19, 2024 calculations

Top border of price channel:

Exp(Y1,257)
= Exp(a + b × X1,257 + 2 × s)
= Exp(a + b × 1,826 + 2 × s)
= Exp(4.5378 + 0.0000 × 1,826 + 2 × 0.0640)
= Exp(4.7125)
= $111.33

Bottom border of price channel:

Exp(Y1,257)
= Exp(a + b × X1,257 – 2 × s)
= Exp(a + b × 1,826 – 2 × s)
= Exp(4.5378 + 0.0000 × 1,826 – 2 × 0.0640)
= Exp(4.4564)
= $86.17

Description

  • The secondary trend is increasing.
  • The growth rate of the secondary trend is 0.94% per annum.
  • ENS price at the close of November 19, 2024 was inside the secondary price channel.