def crawl_earning_of_stocks(question='昨日涨停 非st 非新股 非退市',
day=getCurrentTradeDay(),
showDetail=False):
# print(question)
stocks = crawl_stock_data(question)
total = 0
index = 0
# 过滤空数据
stocks = filter(lambda x: filterNone(x, day), stocks)
# 可能有停牌的票，则取0
stocks = sorted(stocks,
key=lambda stock: float(
stock.get('涨跌幅:前复权[%s]' % day, stock.get('最新涨跌幅', 0))),
reverse=True)
for stock in stocks:
index += 1
if showDetail:
print(index, stock['股票简称'],
stock.get('涨跌幅:前复权[%s]' % day, stock.get('最新涨跌幅', 0)))
# 可能有停牌的票，则取0
total += float(
'%.2f' %
float(stock.get('涨跌幅:前复权[%s]' % day, stock.get('最新涨跌幅', 0))))
if len(stocks) == 0:
return '-'
return float(str('%.2f' % float(total / len(stocks))))
def getHistoryData():
global hasWriteHeader, a
daylength = 5
# currentDay = '20200106'
currentDay = getCurrentTradeDay()
for i in range(0, daylength):
values = getData(currentDay)
# values= a[currentDay]
worksheet.write(letter[0] + str(daylength-(i-1)), datetime.datetime.strptime(currentDay, '%Y%m%d').strftime("%Y/%m/%d"))
for index, value in enumerate(values):
worksheet.write(letter[index+1] + str(daylength -(i-1)), value)
print(i, currentDay, values)
currentDay = getLastTradeDay(currentDay)
hasWriteHeader = True
def getData(day = getCurrentTradeDay()):
global hasWriteHeader
categories = getCategories(day)
max = len(categories)
values = []
if not hasWriteHeader:
worksheet.write('A1', '日期')
for d in range(0, max):
value = None
category = categories[d]
if 'func' in category:
value = category['func']
else:
value = category.get('method', crawl_earning_of_stocks)(category['category'])
# print(category['text'], value)
if not hasWriteHeader:
worksheet.write(letter[d+1] + '1', category['text'])
values.append(value)
return values
def crawl_lost_of_stocks(question='曾涨停', day=getCurrentTradeDay()):
# print(question)
stocks = crawl_stock_data(question)
total = 0
upTotal = 0
index = 0
stocks = sorted(stocks,
key=lambda stock: float(
stock.get('涨跌幅:前复权[%s]' % day, stock.get('最新涨跌幅', 0))),
reverse=True)
for stock in stocks:
topValue = stock['涨停价[%s]' % day]
closeValue = stock['收盘价:不复权[%s]' % day]
lastDayCloseValue = stock['收盘价:不复权[%s]' % getLastTradeDay(day)]
percent = (float(topValue) -
float(closeValue)) / lastDayCloseValue * 100
index += 1
# print(index, stock['股票简称'], '回撤值', percent)
total += float('%.2f' % float(percent))
if len(stocks) == 0:
return '-'
return -float(str('%.2f' % float(total / len(stocks))))
from meepwn import crawl_source_data
import json
import datetime
import numpy as np
import pandas as pd
import tushare as ts
import os
from tushareUtils import getCurrentTradeDay, getLastSpecificTradeDay, getLastTradeDay
token='cee7373f5534cd6ac10783e468db6710767cf637007930de27ce3a08'
ts.set_token(token)
pro = ts.pro_api()
currentDay = getCurrentTradeDay()
arr = ['股票简称', 'hqCode']
timearr = ['几天几板','涨停类型', '涨停原因类别']
def getPropertyStr(stcok):
t = str(datetime.datetime.now().date()).replace('-', '')
# t= '20220121'
inner_str = ""
for p1 in arr:
inner_str += stcok[p1] + ' '
for p2 in timearr:
inner_str += stcok[p2 + '[' + t +']'] +' '
return inner_str + '\n'
# 打印基础数据
def printBaseData(data, t):
def crawl_index(question='昨日涨停 非st 非新股 非退市', day=getCurrentTradeDay()):
stocks = crawl_stock_data(question)
percentage = stocks[0]['指数@涨跌幅:前复权[%s]' % day]
return float(str('%.2f' % percentage))