PINE LIBRARY
Actualizado regressionUtilities

Library "regressionUtilities"
get_linear_regression(bar_index_array, prices_array, stdDev_mult)
: Generates the linear regression channel for an array of values.
Parameters:
bar_index_array (array<int>): (array<int>): Array with bar indexes
prices_array (array<float>): (array<float>): Array with prices
stdDev_mult (float): (float): Standard deviation multiple for the channels
Returns: : Returns x1, x2, y1_mid, y2_mid, y1_up, y2_up, y1_dn, y2_dn, m, b, R2, stdDev
get_optimal_linearRegression_channel(max_length, min_length, source, stdDev_mult, show_data_table, tableYpos, tableXpos, table_textSize, barsToRight, plot_labels, include_levels)
: Gets the best fitting linear regression using optimum length
Parameters:
max_length (int): (int): Maximum bar length
min_length (int): (int): Minimum bar length
source (float): (float): Source for the regression
stdDev_mult (float): (float): Array with prices
show_data_table (bool): (bool): Activates and shows the data table
tableYpos (string)
tableXpos (string)
table_textSize (string)
barsToRight (int)
plot_labels (bool)
include_levels (bool)
Returns: : Returns three line objects that conform the regression channel, plus the optimal length and maximum r2
get_regressionChannel_data(max_length, min_length, source, stdDev_mult, plot_linearRegression, plot_labels, include_levels, barsToRight)
: Gets data for the linear regression channel
Parameters:
max_length (int): (int): Maximum length for the linear regression.
min_length (int): (int): Minimum length for the linear regression.
source (float): (float): Source for the linear regression
stdDev_mult (float): (float): Multiple for the standar deviations for the linear regression channel.
plot_linearRegression (bool)
plot_labels (bool)
include_levels (bool)
barsToRight (int)
Returns: : Returns a maps with the regression levels, the direction flag and the datatable map.
get_regressionChannel_data_v2(max_length, min_length, source, stdDev_mult, plot_linearRegression, plot_labels, include_levels, barsToRight)
Parameters:
max_length (int)
min_length (int)
source (float)
stdDev_mult (float)
plot_linearRegression (bool)
plot_labels (bool)
include_levels (bool)
barsToRight (int)
get_cuadratic_regression(x_array, y_array, bars_to_project, max_length)
: Gets the best fitting linear regression using optimum length
Parameters:
x_array (array<float>): (array<int>): Maximum bar length
y_array (array<float>): (array<float>): Minimum bar length
bars_to_project (int): (int): Array with prices
max_length (int)
Returns: : Returns three line objects
get_linear_regression(bar_index_array, prices_array, stdDev_mult)
: Generates the linear regression channel for an array of values.
Parameters:
bar_index_array (array<int>): (array<int>): Array with bar indexes
prices_array (array<float>): (array<float>): Array with prices
stdDev_mult (float): (float): Standard deviation multiple for the channels
Returns: : Returns x1, x2, y1_mid, y2_mid, y1_up, y2_up, y1_dn, y2_dn, m, b, R2, stdDev
get_optimal_linearRegression_channel(max_length, min_length, source, stdDev_mult, show_data_table, tableYpos, tableXpos, table_textSize, barsToRight, plot_labels, include_levels)
: Gets the best fitting linear regression using optimum length
Parameters:
max_length (int): (int): Maximum bar length
min_length (int): (int): Minimum bar length
source (float): (float): Source for the regression
stdDev_mult (float): (float): Array with prices
show_data_table (bool): (bool): Activates and shows the data table
tableYpos (string)
tableXpos (string)
table_textSize (string)
barsToRight (int)
plot_labels (bool)
include_levels (bool)
Returns: : Returns three line objects that conform the regression channel, plus the optimal length and maximum r2
get_regressionChannel_data(max_length, min_length, source, stdDev_mult, plot_linearRegression, plot_labels, include_levels, barsToRight)
: Gets data for the linear regression channel
Parameters:
max_length (int): (int): Maximum length for the linear regression.
min_length (int): (int): Minimum length for the linear regression.
source (float): (float): Source for the linear regression
stdDev_mult (float): (float): Multiple for the standar deviations for the linear regression channel.
plot_linearRegression (bool)
plot_labels (bool)
include_levels (bool)
barsToRight (int)
Returns: : Returns a maps with the regression levels, the direction flag and the datatable map.
get_regressionChannel_data_v2(max_length, min_length, source, stdDev_mult, plot_linearRegression, plot_labels, include_levels, barsToRight)
Parameters:
max_length (int)
min_length (int)
source (float)
stdDev_mult (float)
plot_linearRegression (bool)
plot_labels (bool)
include_levels (bool)
barsToRight (int)
get_cuadratic_regression(x_array, y_array, bars_to_project, max_length)
: Gets the best fitting linear regression using optimum length
Parameters:
x_array (array<float>): (array<int>): Maximum bar length
y_array (array<float>): (array<float>): Minimum bar length
bars_to_project (int): (int): Array with prices
max_length (int)
Returns: : Returns three line objects
Notas de prensa
v2Updated:
get_regressionChannel_data(max_length, min_length, source, stdDev_mult, plot_linearRegression, plot_labels, include_levels, barsToRight, plot_entry_levels)
: Gets data for the linear regression channel
Parameters:
max_length (int): (int): Maximum length for the linear regression.
min_length (int): (int): Minimum length for the linear regression.
source (float): (float): Source for the linear regression
stdDev_mult (float): (float): Multiple for the standar deviations for the linear regression channel.
plot_linearRegression (bool)
plot_labels (bool)
include_levels (bool)
barsToRight (int)
plot_entry_levels (bool)
Returns: : Returns a maps with the regression levels, the direction flag and the datatable map.
Notas de prensa
v3Notas de prensa
v4Notas de prensa
v5Notas de prensa
v6Notas de prensa
v7Notas de prensa
v8Removed:
get_regressionChannel_data_v2(max_length, min_length, source, stdDev_mult, plot_linearRegression, plot_labels, include_levels, barsToRight)
Notas de prensa
v9Notas de prensa
v10Notas de prensa
v11Notas de prensa
v12Notas de prensa
v13Notas de prensa
v14Notas de prensa
v15Notas de prensa
v16Notas de prensa
v17Notas de prensa
v18Notas de prensa
v19Notas de prensa
v20Added:
get_regressionChannel_by_length(length, source, stdDev_mult, plot_linearRegression, plot_labels, include_levels, barsToRight)
: Gets data for the linear regression channel
Parameters:
length (int): (int): Length for the linear regression.
source (float): (float): Source for the linear regression
stdDev_mult (float): (float): Multiple for the standar deviations for the linear regression channel.
plot_linearRegression (bool)
plot_labels (bool)
include_levels (bool)
barsToRight (int)
Returns: : Returns a maps with the regression levels, the direction flag and the datatable map.
Biblioteca Pine
Fiel al espíritu de TradingView, el autor ha publicado este código de Pine como biblioteca de código abierto, para que otros programadores de nuestra comunidad puedan reutilizarlo. ¡Enhorabuena al autor! Puede usar esta biblioteca de forma privada o en otras publicaciones de código abierto, pero su reutilización en publicaciones está sujeta a nuestras Normas internas.
Code. Structure. Execution. Zones and flows from a live algorithmic trading desk. algotraderpro.io
Exención de responsabilidad
La información y las publicaciones no constituyen, ni deben considerarse como, asesoramiento o recomendaciones financieras, de inversión, de trading u otro tipo, proporcionadas o respaldadas por TradingView. Obtenga más información en Condiciones de uso.
Biblioteca Pine
Fiel al espíritu de TradingView, el autor ha publicado este código de Pine como biblioteca de código abierto, para que otros programadores de nuestra comunidad puedan reutilizarlo. ¡Enhorabuena al autor! Puede usar esta biblioteca de forma privada o en otras publicaciones de código abierto, pero su reutilización en publicaciones está sujeta a nuestras Normas internas.
Code. Structure. Execution. Zones and flows from a live algorithmic trading desk. algotraderpro.io
Exención de responsabilidad
La información y las publicaciones no constituyen, ni deben considerarse como, asesoramiento o recomendaciones financieras, de inversión, de trading u otro tipo, proporcionadas o respaldadas por TradingView. Obtenga más información en Condiciones de uso.