Math Transform
Syntax:
acos()Definition: Calculates the element-wise inverse cosine (arccosine) of the input time series.
Arguments: Not Applicable
Return: A time series of values representing the element-wise inverse cosine of the input time series.
Description: The cosine function calculates the element-wise inverse cosine of the input series.
Example:
acos_values = ETH.close -> rsi(1000) -> acos()
Syntax:
asin()Definition: Calculates the element-wise inverse sine (arcsine) of the input time series.
Arguments: Not Applicable
Return: A time series of values representing the element-wise inverse sine of the input time series.
Description: The asin function calculates the element-wise inverse sine of the input series.
Example:
asin_values = ETH.close -> rsi(1000) -> asin()
Syntax:
atan()Definition: Calculates the element-wise inverse tangent (arctangent) of the input time series.
Arguments: Not Applicable
Return: A time series of values representing the element-wise inverse tangent of the input time series.
Description: The atan function calculates the element-wise inverse tangent of the input series.
Example:
atan_values = ETH.close -> rsi(1000) -> atan()
Definition: Calculates the element-wise ceiling of the input time series.
Syntax:
ceil()Arguments: Not Applicable
Return: A time series of values representing the element-wise ceiling of the input time series.
Description: The ceil function calculates the element-wise ceiling of the input series. The ceiling of a value is the smallest integer that is greater than or equal to the value. This function can be used to round up the values in a time series.
Example:
ceil_values = ETH.close -> ceil()
Definition: Calculates the element-wise cosine of the input time series.
Syntax:
cos()Arguments: Not Applicable
Return: A time series of values representing the element-wise cosine of the input time series.
Description: The cos function calculates the element-wise cosine of the input series.
Example:
cos_values = ETH.close -> rsi(1000) -> cos()
Definition: Calculates the element-wise hyperbolic cosine of the input time series.
Syntax:
cosh()Arguments: Not Applicable
Return: A time series of values representing the element-wise hyperbolic cosine of the input time series.
Description: The cosh function calculates the element-wise hyperbolic cosine of the input series.
Example:
cosh_values = ETH.close -> rsi(1000) -> cosh()
Definition: Calculates the natural exponential of the input time series.
Syntax:
exp()Arguments: Not Applicable
Return: A time series of values representing the natural exponential of the input time series.
Description: The natural exponential (exp) is a mathematical function that calculates the base e raised to the power of a number. In finance, it is used to calculate exponential returns of a security. Exponential returns provide a useful way to analyze the growth of an investment over time.
Example:
floor_values = ETH.close -> ln()
Definition: Calculates the element-wise floor of the input time series.
Syntax:
floor()Arguments: Not Applicable
Return: A time series of values representing the element-wise floor of the input time series.
Description: The floor function calculates the element-wise floor of the input series. The floor of a value is the largest integer that is less than or equal to the value. This function can be used to round down the values in a time series.
Example:
floor_values = ETH.close -> floor()
Definition: Calculates the natural logarithm of the input time series.
Syntax:
ln()Arguments: Not Applicable
Return: A time series of values representing the natural logarithm of the input time series.
Description: The natural logarithm (ln) is a mathematical function that calculates the logarithm of a number to the base e. In finance, it is used to calculate logarithmic returns of a security. Logarithmic returns provide a useful way to analyze the growth of an investment over time.
Example:
floor_values = ETH.close -> ln()
Definition: Calculates the base-10 (common) logarithm of the input time series.
Syntax:
log10()Arguments: Not Applicable
Return: A time series of values representing the base-10 logarithm of the input time series.
Description: The base-10 logarithm is a mathematical function that calculates the logarithm of a number to the base 10. In finance, it is used to calculate logarithmic returns of a security. Logarithmic returns provide a useful way to analyze the growth of an investment over time.
Example:
log10_values = ETH.close -> log10()
Definition: Calculates the element-wise sine of the input time series
Syntax:
sin()Arguments: Not Applicable
Return: A time series of values representing the element-wise sine of the input time series.
Description: The sin function calculates the element-wise sine of the input series. The sine function is a periodic function that is commonly used in trigonometry.
Example:
sin_values = ETH.close -> rsi(1000) -> sin()
Definition: Calculates the element-wise hyperbolic sine of the input time series
Syntax:
sinh()Arguments: Not Applicable
Return: A time series of values representing the element-wise hyperbolic sine of the input time series.
Description: The sinh function calculates the element-wise hyperbolic sine of the input series. The hyperbolic sine function has a range of -infinity to infinity.
Example:
sinh_values = ETH.close -> rsi(1000) -> sinh()
Definition: Calculates the square root of the input time series.
Syntax:
sqrt()Arguments: Not Applicable
Return: A time series of values representing the element-wise square root of the input time series.
Description: Square root is a mathematical function that calculates the square root of a number. In finance, the square root function is used for various calculations, including volatility analysis.
Example:
sqrt_values = ETH.close -> sqrt()
Syntax:
tan()Arguments: Not Applicable
Return: A time series of values representing the element-wise tangent of the input time series.
Description: The tan function calculates the element-wise tangent of the input series.
Example:
tan_values = ETH.close -> rsi(1000) -> tan()
Definition: Calculates the element-wise hyperbolic tangent of the input time series.
Syntax:
tanh()Arguments: Not Applicable
Return: A time series of values representing the element-wise hyperbolic tangent of the input time series.
Description: The tanh function calculates the element-wise hyperbolic tangent of the input series. The hyperbolic tangent function has a range of -1 to 1.
Example:
tanh_values = ETH.close -> rsi(1000) -> tanh()
Last modified 29d ago