# Steel Dynamics, Inc. (STLD)

steel dynamics, inc. is unique among american steel companies. founded in 1993, sdi began production at its butler, in, flat roll mill in 1996. this state-of-the-art mill remains a world leader in its productivity and production of flat roll steel. finishing facilities at the butler mill and in jeffersonville, in, produce pickled, cold roll, galvanized, and painted flat roll steel. new millennium building systems, a steel fabrication business producing joists, girders, and decking for nonresidential construction projects, began operations in 2000, and today consists of 6 manufacturing facilities in the u.s. and mexico. sdi entered the steel long-products business in 2002, with the production of wide-flange beams at the company’s minimill in columbia city, in. in 2010, it was expanded to include production of standard rail, and in 2013 the capability for manufacturing premium rail was added. also in 2002, sdi acquired a steel mill near indianapolis to produce engineered bar steel and

## Stock Price Trends

Stock price trends estimated using linear regression.

## Paying users area

The data is hidden behind and trends are not shown in the charts.
Unhide data and trends.

This is a one-time payment. There is no automatic renewal.

#### Key facts

• The primary trend is decreasing.
• The decline rate of the primary trend is 5.43% per annum.
• STLD price at the close of November 28, 2023 was \$114.23 and was inside the primary price channel.
• The secondary trend is increasing.
• The growth rate of the secondary trend is 20.06% per annum.
• STLD price at the close of November 28, 2023 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 STLD 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
=

Exp(4 × s) – 1
= Exp(4 × ) – 1
=

#### November 17, 2022 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()
= \$

#### November 24, 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()
= \$

### Secondary Trend

Start date:
End date:

a =

b =

s =

Annual growth rate:

Exp(365 × b) – 1
= Exp(365 × ) – 1
=

Exp(4 × s) – 1
= Exp(4 × ) – 1
=

#### May 4, 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()
= \$

#### November 28, 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()
= \$