# Etsy, Inc. (ETSY)

etsy is a marketplace where people around the world connect, both online and offline, to make, sell and buy unique goods. the heart and soul of etsy is our global community: the creative entrepreneurs who use etsy to sell what they make or curate, the shoppers looking for things they can’t find anywhere else, the manufacturers who partner with etsy sellers to help them grow, and the etsy employees who maintain and nurture our marketplace. our mission is to keep commerce human. people make etsy possible. we provide a meaningful space for sellers to turn their creative passions into opportunity. we enable buyers to discover unique items made with care. and we treat our employees and our community with respect. we’re here because the world needs less of the same and more of the special. dedication to our mission is at the core of our identity. it guides our day-to-day decisions while inspiring us to think big for the long term. it reflects what makes our marketplace so special and our com

## Stock Price Trends

Stock price trends estimated using linear regression.

## Paying users area

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Unhide data and trends.

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#### Key facts

• The primary trend is decreasing.
• The decline rate of the primary trend is 33.23% per annum.
• ETSY price at the close of December 8, 2023 was \$80.08 and was inside the primary price channel.
• The secondary trend is decreasing.
• The decline rate of the secondary trend is 55.44% per annum.
• ETSY price at the close of December 8, 2023 was higher than the top border of the secondary price channel by \$5.90 (7.95%). 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 ETSY 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
=

#### December 15, 2020 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()
= \$

#### December 8, 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
=

#### November 30, 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()
= \$

#### December 8, 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()
= \$