<jupyter_start><jupyter_text><jupyter_code>!pip install yfinance 
import yfinance as yf
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd


df=yf.download('BTC-USD',start='2018-01-01')
df strategy(df,sma1,sma2):
  df=df.copy()
  df['ret']=np.log(df.Close.pct_change()+1)
  df['SMA1']=df.Close.rolling(sma1)mean()
  df['SMA2']=df.Close.rolling(sma2)mean()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.17037037037037037, 'fraction_numerical': 0.037037037037037035, 'mean_word_length': 7.12, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '468446', 'license': 'MIT', 'n_tokens_mistral': 188, 'n_tokens_neox': 179, 'n_words': 26, 'path': 'SMA/SMA.ipynb', 'repo_name': 'marcinBrzew/Todo', 'size': '405'}