T. Rowe Price Group Inc (TROW)
T. Rowe Price Group, Inc. is a leading American investment management firm that specializes in delivering a wide array of financial services, including mutual funds, advisory services, and retirement solutions for individual and institutional investors. With a strong emphasis on active portfolio management and a disciplined investment process, T. Rowe Price has established a robust track record of performance across various asset classes. The firm is committed to helping clients achieve their financial goals through innovative investment strategies and comprehensive client support. Leveraging deep market insights and research capabilities, T. Rowe Price continues to evolve its service offerings in response to the dynamic financial landscape.
Stock Price Trends
Stock price trends estimated using linear regression.
Paying users area
Try for free
Stock pages available for free today:
The data is hidden behind and trends are not shown in the charts.
Unhide data and trends.
Get full access to the entire website.
This is a one-time payment. There is no automatic renewal.
Key facts
- The primary trend is increasing.
- The growth rate of the primary trend is 0.51% per annum.
- TROW price at the close of March 20, 2026 was $86.19 and was inside the primary price channel.
- The secondary trend is decreasing.
- The decline rate of the secondary trend is 66.49% per annum.
- TROW price at the close of March 20, 2026 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 TROW 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
=
May 5, 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()
= $
March 3, 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 0.51% per annum.
- TROW price at the close of March 20, 2026 was $86.19 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 5, 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()
= $
March 20, 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 decreasing.
- The decline rate of the secondary trend is 66.49% per annum.
- TROW price at the close of March 20, 2026 was inside the secondary price channel.