# JetBlue Airways Corp (JBLU)

JetBlue Airways Corporation provides passenger air transportation services. The company is headquartered in Long Island City, New York.

## 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 39.72% per annum.
• JBLU price at the close of August 7, 2024 was \$5.87 and was higher than the top border of the primary price channel by \$1.17 (24.86%). This indicates a possible reversal in the primary trend direction.
• The secondary trend is increasing.
• The growth rate of the secondary trend is 150.09% per annum.
• JBLU price at the close of August 7, 2024 was lower than the bottom border of the secondary price channel by \$1.85 (23.95%). 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 JBLU 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
=

#### February 8, 2021 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()
= \$

#### January 31, 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()
= \$

#### Description

• The primary trend is decreasing.
• The decline rate of the primary trend is 39.72% per annum.
• JBLU price at the close of August 7, 2024 was \$5.87 and was higher than the top border of the primary price channel by \$1.17 (24.86%). 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
=

Exp(4 × s) – 1
= Exp(4 × ) – 1
=

#### September 7, 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()
= \$

#### April 22, 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()
= \$

#### Description

• The secondary trend is increasing.
• The growth rate of the secondary trend is 150.09% per annum.
• JBLU price at the close of August 7, 2024 was lower than the bottom border of the secondary price channel by \$1.85 (23.95%). This indicates a possible reversal in the secondary trend direction.