Stock Price Trends
Stock price trends estimated using linear regression.
Paying users area
Try for free
Salesforce Inc. pages available for free this week:
- Balance Sheet: Liabilities and Stockholders’ Equity
- Common-Size Income Statement
- Analysis of Profitability Ratios
- Analysis of Short-term (Operating) Activity Ratios
- Common Stock Valuation Ratios
- Net Profit Margin since 2005
- Operating Profit Margin since 2005
- Return on Equity (ROE) since 2005
- Current Ratio since 2005
- Total Asset Turnover since 2005
The data is hidden behind: . Unhide it.
Get 1-month access to Salesforce Inc. for $19.99, or
get full access to the entire website for at least 3 months from $49.99.
This is a one-time payment. There is no automatic renewal.
We accept:
Key facts
- The primary trend is increasing.
- The growth rate of the primary trend is 71.38% per annum.
- CRM price at the close of September 27, 2023 was $202.73 and was lower than the bottom border of the primary price channel by $1.05 (0.52%). This indicates a possible reversal in the primary trend direction.
- The secondary trend is decreasing.
- The decline rate of the secondary trend is 88.11% per annum.
- CRM price at the close of September 27, 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.
- Discover a new approach to trend analysis.
- Check the power of mathematical statistics.
- Price channels has never been so accurate.
Check out CRM and 1,499 other stocks on our new website
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 CRM 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 20, 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()
= $
September 19, 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
=
Price channel spread:
Exp(4 × s) – 1
= Exp(4 × ) – 1
=
September 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()
= $
September 27, 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()
= $