def calRealtimeRank(stk_code, M_days, history_data_dir):
"""
计算一只stk的离心度名次,
需要保存历史数据，操作复杂，尽量不要用！
:param stk_code:
:param M_days:
:param history_data_dir: './M_data/'
:return: 分数，9日数据， 当前price
"""
# 加载数据测试
dict = shelveL(
loadLocation=history_data_dir,
fileName=stk_code+'_M'+str(M_days))
if stk_code not in ['sh', 'sz', 'cyb']:
try:
current_price = get_RT_price(stk_code, source='ts')
except:
current_price = get_RT_price(stk_code, source='jq')
else:
current_price = get_RT_price(stk_code, source='jq')
# 计算实时偏离度
list_history = dict['latest_data']
list_history.append(current_price)
M_diff = (current_price - np.mean(list_history))/current_price
# 计算排名
return relativeRank(dict['history_M_diverge_data'], M_diff), list_history, current_price, dict['update_date']
def loadLastScale(list_name):
"""
:param list_name:
:return:
"""
return shelveL(LastScale, list_name)
# encoding=utf-8
from History.Debug_Sub import debug_print_txt
from History.Sub import judge_single_stk_sub
from SDK.MyTimeOPT import add_date_str
from SDK.shelfSub import shelveP, shelveL
from pylab import *
if __name__ == '__main__':
stk_code = '000001'
df = shelveL('./temp_data/', stk_code + 'huice_m')
df_day = shelveL('./temp_data/', stk_code + 'huice_day')
"""
df = df.dropna().reset_index()
df.plot('index', ['close', 'rsv', 'reseau'], style=['*', '*', '*'], subplots=True)
"""
df = df.dropna()
last_p = df.head(1)['open'].values[0]
for idx in df.index:
datetime = df.loc[idx, 'datetime']
# 获取昨天sar_diff
idx_yesterday = df_day[df_day.datetime < datetime].tail(1).index[0]
sar_diff_day = (df_day.loc[idx_yesterday, 'SAR'] -
df_day.loc[idx_yesterday, 'close'])
# rsv = df.loc[idx, 'rsv']
# reseau = df.loc[idx, 'reseau']
# encoding=utf-8
# encoding=utf-8
from RelativeRank.Sub import relativeRank
from SDK.MyTimeOPT import get_current_date_str
from SDK.shelfSub import shelveL
# from JQData_Test.auth_info import *
from pylab import *
import tushare as ts
import numpy as np
import pandas as pd
import jqdatasdk as jq
history_data_dir = SeaSelectDataPWD+'/stk_list_data/'
stk_code = '600487'
dict = shelveL(
loadLocation=history_data_dir,
fileName=stk_code + '_M' + str(9))
try:
# 获取实时价格
current_price = float(ts.get_realtime_quotes(stk_code)['price'].values[0])
except:
# 使用聚宽数据接口替代
if stk_code in ['sh', 'sz', 'cyb']:
stk_code_normal = {
'sh': '000001.XSHG',
'sz': '399001.XSHE',
'cyb': '399006.XSHE'
}[stk_code]