Python में Finance के लिए Machine Learning
Nathan George
Data Science Professor
features = amd_df[['10d_close_pct', 'Adj_Volume']] targets = amd_df['10d_future_close_pct'] print(type(features))
features = amd_df[['10d_close_pct', 'Adj_Volume']]
targets = amd_df['10d_future_close_pct']
print(type(features))
pandas.core.series.DataFrame
print(type(targets))
pandas.core.series.Series
मूविंग एवरेज:
import talib amd_df['ma200'] = talib.SMA(amd_df['Adj_Close'].values, timeperiod=200) amd_df['rsi200'] = talib.RSI(amd_df['Adj_Close'].values, timeperiod=200)
import talib
amd_df['ma200'] = talib.SMA(amd_df['Adj_Close'].values, timeperiod=200)
amd_df['rsi200'] = talib.RSI(amd_df['Adj_Close'].values, timeperiod=200)
feature_names = ['10d_close_pct', 'ma200', 'rsi200'] features = amd_df[feature_names] targets = amd_df['10d_future_close_pct'] feature_target_df = amd_df[feature_names + '10d_future_close_pct']
import seaborn as sns corr = feature_target_df.corr() sns.heatmap(corr, annot=True)
Preparing Video For Download...
