Machine Learning, Deep Learning, Trading, Finance, Stock Market.
plan to forecast return as well: def data2change(data): change = pd.DataFrame(data).pct_change() change = change.replace([np.inf, -np.inf], np.nan) change = change.fillna(0.).values.tolist() return change openp = data_original.ix[:, 'Open'].tolist() highp = data_original.ix[:, 'High'].tolist() lowp