Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
timeperiod=(period+35)) df["Returns"] = (df["Adj Close"] / df["Adj Close"].shift(target_prediction_number)) - 1 df["Range"] = (df["High"] / df["Low"]) - 1 df["Volatility"] = df['Returns'].rolling(window=target_prediction_number).std() # Volume-Based Indicators df['OBV'] = ta.OBV(df['Close'],