def test():
pl = publish.Publish()
base_boll_up = get_boll_up_base()
base_boll_lower = get_boll_lower_base()
def get_data():
code = jx.HCGD
df = tdx.getFive(code)
return df
key = myredis.gen_keyname(__file__, Recognize_boll.test)
df = myredis.createRedisVal(key, get_data).get()
df = stock.TDX_BOLL_df(df)
for i in range(60, len(df)):
df_cur = df[:i]
c = Recognize_boll(base_boll_up, df_cur)
c2 = Recognize_boll(base_boll_lower, df_cur)
b = c._calc_beta_up()
b2 = c._calc_beta_lower()
#if c2.is_matched():
#print(b2)
if abs(c.sign()) > 0 or abs(c2.sign()) > 0:
df_cur = df_cur[['c', 'boll_up', 'boll_mid', 'boll_lower']]
df_cur.index = range(len(df_cur))
df_cur.plot()
pl.show()
def get():
from autoxd.warp_pytdx import getFive
from autoxd.pinyin import stock_pinyin3 as jx
code = jx.HWWH
df = getFive(code)
df = stock.TDX_BOLL_df(df)
return df
def getLocal():
import pandas as pd
fname = '../datas/002304.csv'
df = pd.read_csv(fname)
df.index = pd.DatetimeIndex(df[df.columns[0]])
df = stock.TDX_BOLL_df(df)
return df
def getLocal(code):
import pandas as pd
from autoxd.cnn_boll import env
fname = '../datas/%s.csv' % (code)
fname = env.get_root_path() + '/datas/%s.csv' % (code)
import os
print(os.path.abspath(fname))
df = pd.read_csv(fname)
df.index = pd.DatetimeIndex(df[df.columns[0]])
df = stock.TDX_BOLL_df(df)
return df