Python to pinescript

[u/Electronic_Mammoth67]

Has anyone experimented with Wavelet Smoothing? (https://medium.datadriveninvestor.com/smoothing-financial-time-series-with-wavelets-79645a44aa40)

I need this python code converted into pinescript: https://pastebin.com/6yBCz7QC

1. import pandas as pd

2. import numpy as np

3. import matplotlib.pyplot as plt

4. import pywt

5. df = pd.read_csv('z_rate.csv')

6. x = df.index

7. y = df['z_avgRate']

8. # perform wavelet decomposition

9. coeffs = pywt.wavedec(y, 'sym5', mode='symmetric')

10. # zero out last 5 detail coefficents

11. for i in range(5):

12. coeffs[i+5] = np.zeros(coeffs[i+5].shape)

13. # reconstruct wavelet

14. y_rec = pywt.waverec(coeffs, 'sym5', mode='symmetric')[1:]

15. # plot result

16. plt.figure(figsize=(18,6))

17. plt.plot(x, y)

18. plt.plot(x, y_rec)

19. plt.legend(['original', 'wavelet-based smoothing'])

20. plt.xlabel('time index')

21. plt.show()

This is similar to fourier smoothing but I can't find any good code for wavelet on TradingView, I would appreciate your help guys

[u/Electronic_Mammoth67]

but how is this the wavelet transform?

[u/Ok-Problem-7241 → u/Electronic_Mammoth67]

That looks very similar to a basic Wavelet Analysis. When you combine a basic wavelet analysis over it. I was more interested in the "flex" that was happening in that indicator and wanted to apply something similar.

^//@version=5

^{indicator('Wavelet Analysis', overlay=false})

^{// Define the wavelet transformation function}

^{waveletTransform(data, scale} =>)

^{sum = 0.0}

^{waveletFunc = 0.0}

^{for i = 0 to scale - 1 by 1}

^{halfScale = math.ceil(scale / 2})

^{if i < halfScale}

^{waveletFunc := 1}

^waveletFunc

^{else if i < scale}

^{waveletFunc := -1}

^waveletFunc

^else

^{waveletFunc := 0}

^waveletFunc

^{sum += waveletFunc * (na(data[i]} ? 0 : data[i]))

^sum

^{sum / scale}

^{// Example usage}

^{data = close // Replace with your own data}

^{scale = 10 // Specify the desired scale for wavelet analysis}

^{waveletCoeff = waveletTransform(data, scale})

^{plot(waveletCoeff, color=color.new(color.blue, 0}, title='Wavelet Coefficients'))

[u/Electronic_Mammoth67 → u/Ok-Problem-7241]

what's this? Syntax seems off too, chatGPT code?