Nucor Corp (NUE)
Nucor Corporation (NUE), headquartered in Charlotte, North Carolina, is a leading producer of steel and steel products in the United States, recognized for its innovative technologies and commitment to sustainability. As the largest steel recycler in North America, Nucor operates a network of mini-mills utilizing electric arc furnace technology, which significantly reduces emissions compared to traditional steelmaking methods. The company's diversified product offerings, including rebar, beams, and sheet steel, serve a wide array of industries, positioning Nucor as a key player in the global steel market. Nucor's strong financial performance, robust balance sheet, and strategic investments in growth initiatives align with its mission of delivering enhanced value to shareholders while maintaining a responsible environmental footprint.
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 145.22% per annum.
- NUE price at the close of February 13, 2026 was $183.23 and was inside the primary price channel.
- The secondary trend is increasing.
- The growth rate of the secondary trend is 319.63% per annum.
- NUE price at the close of February 13, 2026 was lower than the bottom border of the secondary price channel by $0.50 (0.27%). 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 NUE 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
=
September 18, 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()
= $
February 13, 2026 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 145.22% per annum.
- NUE price at the close of February 13, 2026 was $183.23 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 7, 2026 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()
= $
February 13, 2026 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 319.63% per annum.
- NUE price at the close of February 13, 2026 was lower than the bottom border of the secondary price channel by $0.50 (0.27%). This indicates a possible reversal in the secondary trend direction.