from inner_package import show
from QUANTAXIS.QAUtil.QASetting import DATABASE
from pymongo import MongoClient
import QUANTAXIS as QA
# 连接数据库
client = MongoClient('localhost', 27017)
db = client['quantaxis']
client = DATABASE
# 获取所有的股票列表,服务器
stock_list = QA.QA_fetch_get_stock_list('tdx').code.tolist()
# 设置分笔的周期
# 暂时前复权,其他是摆设
code = ['000001']
original = th.TushareHelper(code, '2017-01-11', '2019-08-01', 'to_qfq', period='D')
# 储存data_original_ex筛选数据，data_original全部数据，date_tickers添加时间数据
original.data_transfer()
#######################################################################################################################################################
# K线数据标准化处理,输入的是列表,对输入的数据进行处理
sta = standard.StandardHandle(original.data_original)
# 处理K线deal_candle
sta.deal_candle()
# 思路
# 1、先获取所有的顶和底，标准转向
# 2、连续顶底的处理
# 3、输出
sta.get_top_bottom()
import sys
import datetime
from external_package import tushare_helper as th
from inner_package import standardized as standard
from inner_package import show
# original = th.TushareHelper('000001', datetime.date.today()+ datetime.timedelta(days=-1),datetime.date.today() + datetime.timedelta(days=+1),'1min')
original = th.TushareHelper('000001', '2017-12-04', '2017-12-12', 'D')
original.data_transfer()
sta = standard.StandardHandle(original.data_original)
sta.deal_candle()
sta.get_top_bottom()
date_tickers = original.date_tickers
my_plot = show.PlotShow(date_tickers, '000001')
my_plot.candle_show(original.data_original_ex, [])
date_tickers = sta.date_tickers
my_plot = show.PlotShow(date_tickers, '000001')
# my_plot.candle_show(sta.standardized_list_ex, [])
my_plot.candle_show(sta.standardized_list_ex, sta.top_bottom_list_ex)
my_plot.candle_show(sta.standardized_list_ex,
sta.standardized_top_bottom_list_ex)
# -*- coding: UTF-8 -*-
# 均线系统+吻
import os
import sys
import datetime
sys.path.append(
os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir)))
from external_package import tushare_helper as th
from inner_package import standardized as standard
from inner_package import show
from inner_package import ma_kiss as mk
code = "002500"
original = th.TushareHelper(
code,
datetime.date.today() + datetime.timedelta(days=-30),
datetime.date.today() + datetime.timedelta(days=1), '60min')
original.data_transfer_ma()
makiss = mk.MAKiss(code, original.data_frame_ma_mini)
my_plot = show.PlotShow([], code)
# 交点获取
makiss.get_intersections()
print(len(makiss.intersections))
print(makiss.intersections)
# 吻获取
makiss.get_lip_kiss()
print(makiss.lip_kiss)
if self.standardized_list is None or self.standardized_list.length < 8:
return True
else:
return False
# 中枢个数
def get_central_count(self):
pass
# 零个中枢
def deal_zero_central(self):
pass
# 一个中枢
def deal_one_central(self):
pass
# 两个中枢
def deal_two_central(self):
pass
original = th.TushareHelper(
'000001',
datetime.date.today() + datetime.timedelta(days=-1),
datetime.date.today() + datetime.timedelta(days=+1), '30min')
original.data_transfer()
dcf = DailyClassfication(original.data_original)
print(dcf.standardized_list)
import sys
import datetime
# 测试文件,
from external_package import tushare_helper as th
# from external_package import quantaxis_helper as th
from inner_package import standardized as standard
from inner_package import show
from QUANTAXIS.QAUtil.QASetting import DATABASE
from pymongo import MongoClient
import QUANTAXIS as QA
stock_list = ['000876']
# todo 添加不同周期的输入路径
original = th.TushareHelper(stock_list, '2016-02-22', '2019-07-15', 'W')
# original = th.TushareHelper('000001', '2017-02-03', '2019-07-11', 'qfq', 'W')
# 储存data_original_ex筛选数据，data_original全部数据，date_tickers添加时间数据
original.data_transfer()
#######################################################################################################################################################
# K线数据标准化处理,输入的是列表,对输入的数据进行处理
sta = standard.StandardHandle(original.data_original)
# 处理K线deal_candle
sta.deal_candle()
# 思路
# 1、先获取所有的顶和底，标准转向
# 2、连续顶底的处理
# 3、输出
sta.get_top_bottom()
#画图的部分
date_tickers = original.date_tickers #获取原始标记的时间
from inner_package import show
from QUANTAXIS.QAUtil.QASetting import DATABASE
from pymongo import MongoClient
import QUANTAXIS as QA
client = MongoClient('localhost', 27017)
db = client['quantaxis']
client = DATABASE
stock_list = QA.QA_fetch_get_stock_list('tdx').code.tolist()
# original = th.TushareHelper('000001', datetime.date.today()+ datetime.timedelta(days=-1),datetime.date.today() + datetime.timedelta(days=+1),'1min')
# stock_list = ['600776']
for num, code in enumerate(stock_list):
try:
print('###############################', num)
# 实例化数据赋值类
original = th.TushareHelper(code, '2000-02-22', '2019-07-15', 'W')
# original = th.TushareHelper('000001', '2017-02-03', '2019-07-11', 'qfq', 'W')
# 储存data_original_ex筛选数据，data_original全部数据，date_tickers添加时间数据
original.data_transfer()
#######################################################################################################################################################
# K线数据标准化处理,输入的是列表,对输入的数据进行处理
sta = standard.StandardHandle(original.data_original)
# 处理K线deal_candle
sta.deal_candle()
# 思路
# 1、先获取所有的顶和底，标准转向
# 2、连续顶底的处理
# 3、输出
sta.get_top_bottom()
def save_all_pen(start, end, period, stock_list, client):
# 设置分笔的周期
# 暂时前复权,其他是摆设
for x, code in enumerate(stock_list):
try:
original = th.TushareHelper(code,
start,
end,
'to_qfq',
period=period)
# 储存data_original_ex筛选数据，data_original全部数据，date_tickers添加时间数据
original.data_transfer()
#######################################################################################################################################################
# K线数据标准化处理,输入的是列表,对输入的数据进行处理
sta = standard.StandardHandle(original.data_original)
# 处理K线deal_candle
sta.deal_candle()
# 思路
# 1、先获取所有的顶和底，标准转向
# 2、连续顶底的处理
# 3、输出
sta.get_top_bottom()
pen_collect = []
# 在这个地方 为首尾分型添加标记
# 在增量更新是 首先更新带标记的笔(日线,周线)
#除了 开始和结束分型 其他都用typing_value 计算
for i, item in enumerate(sta.count_standardized_top_bottom_list):
if i > 0 and i not in [
1, len(sta.count_standardized_top_bottom_list) - 1
]:
#根据顶底分型来确定取高点还是低点
pen_type = 0 #确定笔
pen_collect.append(
{ #代码
#开始时间
#结束时间
#涨幅
#笔类型 -1 0 1 (-1 初始笔,0 确定笔,1未确定笔)
'code': item.name[1],
'start': sta.count_standardized_top_bottom_list[i - 1]['index'],
'end': item['index'],
'start_price': sta.count_standardized_top_bottom_list[i - 1]['typing_value'],
'end_price': item['typing_value'],
'ratio': (item['typing_value'] - sta.count_standardized_top_bottom_list[i - 1]['typing_value']) /
sta.count_standardized_top_bottom_list[i - 1]['typing_value'],
'typing': pen_type,
}
)
elif i == 1:
pen_type = -1 #初始笔
pen_collect.append(
{ # 代码
# 开始时间
# 结束时间
# 涨幅
# 笔类型 -1 0 1 (-1 初始笔,0 确定笔,1未确定笔)
'code': item.name[1],
'start': sta.count_standardized_top_bottom_list[i - 1]['index'],
'end': item['index'],
'start_price': sta.count_standardized_top_bottom_list[i - 1]['low'], # 高点
'end_price': item['typing_value'],
'ratio': (item['typing_value'] - sta.count_standardized_top_bottom_list[i - 1]['low']) /
sta.count_standardized_top_bottom_list[i - 1]['low'],
'typing': pen_type,
}
)
elif i == len(sta.count_standardized_top_bottom_list) - 1:
pen_type = 1 #待确定的最后一笔
pen_collect.append(
{ # 代码
# 开始时间
# 结束时间
# 涨幅
# 笔类型 -1 0 1 (-1 初始笔,0 确定笔,1未确定笔)
'code': item.name[1],
'start': sta.count_standardized_top_bottom_list[i - 1]['index'],
'end': item['index'],
'start_price': sta.count_standardized_top_bottom_list[i - 1]['typing_value'], # 高点
'end_price': item['high'],
'ratio': (item['high'] - sta.count_standardized_top_bottom_list[i - 1]['typing_value']) /
sta.count_standardized_top_bottom_list[i - 1]['typing_value'],
'typing': pen_type,
}
)
coll = client.pen_box_day # 由于数据不全造成前复权的问题
coll.insert_many(pen_collect)
print(x, code)
except:
with open('error_day.txt', 'a') as f:
f.write('\n' + code)
import sys
import datetime
from external_package import tushare_helper as th
from inner_package import standardized as standard
from inner_package import show
import QUANTAXIS as QA
# original = th.TushareHelper('000001', datetime.date.today()+ datetime.timedelta(days=-1),datetime.date.today() + datetime.timedelta(days=+1),'1min')
original = th.TushareHelper('000001', '2020-01-01', '2020-06-30', 'D')
# original = QA.QA_fetch_stock_day('000001', start, end, format='pd')
original.data_transfer()
sta = standard.StandardHandle(original.data_original)
sta.deal_candle()
sta.get_top_bottom()
date_tickers = original.date_tickers
my_plot = show.PlotShow(date_tickers, '000001')
my_plot.candle_show(original.data_original_ex, [])
date_tickers = sta.date_tickers
my_plot = show.PlotShow(date_tickers, '000001')
# my_plot.candle_show(sta.standardized_list_ex, [])
my_plot.candle_show(sta.standardized_list_ex, sta.top_bottom_list_ex)
my_plot.candle_show(sta.standardized_list_ex,
sta.standardized_top_bottom_list_ex)
import sys
import datetime
from external_package import tushare_helper as th
from inner_package import standardized as standard
from inner_package import show
# original = th.TushareHelper('000001', datetime.date.today()+ datetime.timedelta(days=-1),datetime.date.today() + datetime.timedelta(days=+1),'1min')
# original = th.TushareHelper('000001', '2017-12-04', '2018-12-12', 'D')
# original = th.TushareHelper('600756', '2018-01-01', '2018-12-31', 'D', [5,20],'E')
original = th.TushareHelper('600756', '2018-08-01', '2018-12-31', '60MIN',
[5, 20], 'E')
original.data_transfer()
sta = standard.StandardHandle(original.data_original)
sta.deal_candle()
sta.get_top_bottom()
date_tickers = sta.date_tickers
my_plot = show.PlotShow(date_tickers, '600756')
# my_plot.candle_show(sta.standardized_list_ex, [])
# my_plot.candle_show(sta.standardized_list_ex, sta.top_bottom_list_ex)
my_plot.candle_show(sta.standardized_list_ex,
sta.standardized_top_bottom_list_ex)
