ChartPrime

Multiple Non-Linear Regression [ChartPrime]

This Pine Script indicator is designed to perform multiple non-linear regression analysis using four independent variables: close, open, high, and low prices. Here's a breakdown of its components and functionalities:

Inputs:
Users can adjust several parameters:
  • Normalization Data Length: Length of data used for normalization.
  • Learning Rate: Rate at which the algorithm learns from errors.
  • Smooth?: Option to smooth the output.
  • Smooth Length: Length of smoothing if enabled.
  • Define start coefficients: Initial coefficients for the regression equation.

Data Normalization:
The script normalizes input data to a range between 0 and 1 using the highest and lowest values within a specified length.

Non-linear Regression:
It calculates the regression equation using the input coefficients and normalized data. The equation used is a weighted sum of the independent variables, with coefficients adjusted iteratively using gradient descent to minimize errors.

Error Calculation:
The script computes the error between the actual and predicted values.

Gradient Descent: The coefficients are updated iteratively using gradient descent to minimize the error.
// Compute the predicted values using the non-linear regression function
predictedValues = nonLinearRegression(x_1, x_2, x_3, x_4, b1, b2, b3, b4)

// Compute the error
error = errorModule(initial_val, predictedValues)

// Update the coefficients using gradient descent
b1 := b1 - (learningRate * (error * x_1))
b2 := b2 - (learningRate * (error * x_2))
b3 := b3 - (learningRate * (error * x_3))
b4 := b4 - (learningRate * (error * x_4))

Visualization:
  • Plotting of normalized input data (close, open, high, low).
    The indicator provides visualization of normalized data values (close, open, high, low) in the form of circular markers on the chart, allowing users to easily observe the relative positions of these values in relation to each other and the regression line.

  • Plotting of the regression line.
  • Color gradient on the regression line based on its value and bar colors.
  • Display of normalized input data and predicted value in a table.
  • Signals for crossovers with a midline (0.5).

Interpretation:
Users can interpret the regression line and its crossovers with the midline (0.5) as signals for potential buy or sell opportunities.

This indicator helps users analyze the relationship between multiple variables and make trading decisions based on the regression analysis. Adjusting the coefficients and parameters can fine-tune the model's performance according to specific market conditions.

Script apenas com convite

O acesso a este script é restrito aos usuários autorizados pelo autor e pode requerir pagamento. Você pode adicioná-lo a seus favoritos, mas só poderá utilizá-lo após solicitar permissão e obtê-la do autor. Contate ChartPrime para mais informações, ou siga as instruções do autor abaixo.

TradingView não sugere pagar por um script e usá-lo até que você confie 100% em seu autor e entenda como o script funciona. Em muitos casos você pode encontrar uma boa alternativa de código aberto gratuitamente nos Scripts da Comunidade.

Aviso legal

As informações e publicações não devem ser e não constituem conselhos ou recomendações financeiras, de investimento, de negociação ou de qualquer outro tipo, fornecidas ou endossadas pela TradingView. Leia mais em Termos de uso.

Instruções do autor

Please submit a request via messages for access. Thank you!

Quer usar esse script no gráfico?

Aviso: por favor leia antes de solicitar acesso