#!/usr/bin/env python
# coding: utf-8
# # 神經網路實做
# ## 拿取加權指數資料
# In[1]:
from finlab.data import Data
data = Data()
twii = data.get("發行量加權股價指數")
twii = twii['台股指數'].resample("15T").first().dropna()
twii.head()
# ## 製作features
# In[2]:
import talib
import numpy as np
import pandas as pd
sma = talib.SMA(twii, timeperiod=120)
wma = talib.WMA(twii, timeperiod=120)
mom = talib.MOM(twii, timeperiod=120)
k, d = talib.STOCH(twii,
twii,
twii,
import numpy as np
import pandas as pd
from finlab.data import Data
import datetime
if __name__ == '__main__':
data = Data()
ClosePrice = data.get('¦¬½L»ù', -2)
print(ClosePrice)
def get_price(name="發行量加權股價指數", freq="15T"):
data = Data()
twii = data.get(name)
twii = twii['台股指數']
twii = twii.resample(freq).first().dropna()
return twii