Codigo Python para Suavizamiento Exponencial
José Munizaga R. 11 SepJueves 11 de Septiembre a las 22:08 hrs.2025-09-11 22:08:11
import yfinance as yf
import matplotlib.pyplot as plt
from statsmodels.tsa.holtwinters import ExponentialSmoothing
if __name__ == '__main__':
symbols=['HG=F']
prices = yf.download(symbols, '2024-1-1', '2025-09-08')['Close']
prices['HWES3_Cu'] = ExponentialSmoothing(prices['HG=F'], trend ='mul',
seasonal ='mul', seasonal_periods = 4).fit().fittedvalues
print(prices['HG=F'])
plt.plot(prices['HG=F'])
plt.plot(prices['HWES3_Cu'])
plt.title('Cu Price Evolution')
plt.show()
import matplotlib.pyplot as plt
from statsmodels.tsa.holtwinters import ExponentialSmoothing
if __name__ == '__main__':
symbols=['HG=F']
prices = yf.download(symbols, '2024-1-1', '2025-09-08')['Close']
prices['HWES3_Cu'] = ExponentialSmoothing(prices['HG=F'], trend ='mul',
seasonal ='mul', seasonal_periods = 4).fit().fittedvalues
print(prices['HG=F'])
plt.plot(prices['HG=F'])
plt.plot(prices['HWES3_Cu'])
plt.title('Cu Price Evolution')
plt.show()
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| Última Modificación | 11 SepJueves 11 de Septiembre a las 22:09 hrs.2025-09-11 22:09:11 |
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