Transpile this python code to NAME_1, replacing the specific functions from python libs numpy, yfinance and statsmodels for buinding functions using functions availabel in the NAME_1 built-in libs (https://NAME_1-lang.io/documentation/)

import yfinance as yf
import numpy as np
from statsmodels.nonparametric.kernel_regression import KernelReg as kr

# Define the list of stocks
stocks = ['ABCP11.SA', 'AIEC11.SA']

def slope(data):
 try:
  kernel_est = kr(endog=data, exog=np.arange(len(data))+1, var_type='c', bw=[11]).fit()
  kernel_est = np.array(kernel_est[0])
  return kernel_est[-1] - kernel_est[-2]
 except:
  return 0

results = [stock.replace(".SA", "") for stock in stocks if slope(yf.download(stock, period="80d", interval="1d")["Adj Close"]) > 0]

#Print the results
for result in results: print(result) Please reply with exactly 6 paragraphs and separate each paragraph with two new lines. The very last paragraph must start with the word "identity".
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