Selecciones de los editoresPINE LIBRARY
FunctionLinearRegression
Library "FunctionLinearRegression"
Method for Linear Regression using array sample points.
linreg(sample_x, sample_y) Performs Linear Regression over the provided sample points.
Parameters:
sample_x: float array, sample points X value.
sample_y: float array, sample points Y value.
Returns: tuple with:
_predictions: Array with adjusted Y values.
_max_dev: Max deviation from the mean.
_min_dev: Min deviation from the mean.
_stdev/_sizeX: Average deviation from the mean.
draw(sample_x, sample_y, extend, mid_color, mid_style, mid_width, std_color, std_style, std_width, max_color, max_style, max_width) Method for drawing the Linear Regression into chart.
Parameters:
sample_x: float array, sample point X value.
sample_y: float array, sample point Y value.
extend: string, default=extend.none, extend lines.
mid_color: color, default=color.blue, middle line color.
mid_style: string, default=line.style_solid, middle line style.
mid_width: int, default=2, middle line width.
std_color: color, default=color.aqua, standard deviation line color.
std_style: string, default=line.style_dashed, standard deviation line style.
std_width: int, default=1, standard deviation line width.
max_color: color, default=color.purple, max range line color.
max_style: string, default=line.style_dotted, max line style.
max_width: int, default=1, max line width.
Returns: line array.
Method for Linear Regression using array sample points.
linreg(sample_x, sample_y) Performs Linear Regression over the provided sample points.
Parameters:
sample_x: float array, sample points X value.
sample_y: float array, sample points Y value.
Returns: tuple with:
_predictions: Array with adjusted Y values.
_max_dev: Max deviation from the mean.
_min_dev: Min deviation from the mean.
_stdev/_sizeX: Average deviation from the mean.
draw(sample_x, sample_y, extend, mid_color, mid_style, mid_width, std_color, std_style, std_width, max_color, max_style, max_width) Method for drawing the Linear Regression into chart.
Parameters:
sample_x: float array, sample point X value.
sample_y: float array, sample point Y value.
extend: string, default=extend.none, extend lines.
mid_color: color, default=color.blue, middle line color.
mid_style: string, default=line.style_solid, middle line style.
mid_width: int, default=2, middle line width.
std_color: color, default=color.aqua, standard deviation line color.
std_style: string, default=line.style_dashed, standard deviation line style.
std_width: int, default=1, standard deviation line width.
max_color: color, default=color.purple, max range line color.
max_style: string, default=line.style_dotted, max line style.
max_width: int, default=1, max line width.
Returns: line array.
Biblioteca Pine
In true TradingView spirit, the author has published this Pine code as an open-source library so that other Pine programmers from our community can reuse it. Cheers to the author! You may use this library privately or in other open-source publications, but reuse of this code in publications is governed by House Rules.
Exención de responsabilidad
La información y las publicaciones que ofrecemos, no implican ni constituyen un asesoramiento financiero, ni de inversión, trading o cualquier otro tipo de consejo o recomendación emitida o respaldada por TradingView. Puede obtener información adicional en las Condiciones de uso.
Biblioteca Pine
In true TradingView spirit, the author has published this Pine code as an open-source library so that other Pine programmers from our community can reuse it. Cheers to the author! You may use this library privately or in other open-source publications, but reuse of this code in publications is governed by House Rules.
Exención de responsabilidad
La información y las publicaciones que ofrecemos, no implican ni constituyen un asesoramiento financiero, ni de inversión, trading o cualquier otro tipo de consejo o recomendación emitida o respaldada por TradingView. Puede obtener información adicional en las Condiciones de uso.