Kellanova (K)
Kellanova, formerly known as the Kellogg Company, is a leading American multinational food manufacturing company headquartered in Battle Creek, Michigan. The company is renowned for its diverse portfolio of well-established brands in the breakfast cereals, snacks, and convenience foods categories, catering to consumer preferences for nutritious and convenient products. With a strategic focus on innovation and sustainability, Kellanova is positioned to drive growth while adapting to changing market dynamics and consumer needs in the global food landscape.
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 6.86% per annum.
- K price at the close of October 16, 2025 was $82.92 and was lower than the bottom border of the primary price channel by $0.23 (0.28%). This indicates a possible reversal in the primary trend direction.
- The secondary trend is decreasing.
- The decline rate of the secondary trend is 4.02% per annum.
- K price at the close of October 16, 2025 was higher than the top border of the secondary price channel by $2.33 (2.89%). 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 K 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
=
August 14, 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()
= $
June 9, 2025 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 6.86% per annum.
- K price at the close of October 16, 2025 was $82.92 and was lower than the bottom border of the primary price channel by $0.23 (0.28%). 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
=
Price channel spread:
Exp(4 × s) – 1
= Exp(4 × ) – 1
=
January 7, 2025 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()
= $
September 26, 2025 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 4.02% per annum.
- K price at the close of October 16, 2025 was higher than the top border of the secondary price channel by $2.33 (2.89%). This indicates a possible reversal in the secondary trend direction.