Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
df.index.strftime("%m-%d-%Y %H:%M") df['Close'] = df['Adj Close'] # print(df.dropna(), df.describe(), df.info()) data = df data To analyze historical cryptocurrency futures data, we can first load the data from a JSON file. The provided code demonstrates how to use Python’s json library to parse