# 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