def save_bottom(self, market='all', isprt=False):
df_rst = pd.DataFrame(columns=('指标类别', '股票代码', '即将金叉日期', '快线强弱',
'首次金叉时间', '大陆代码'))
# market不是'all'，从传入的文件取代码
stock_code = stock_base.get_stock_code(market)
if self.jb == 'm':
pre = '月K线 即将底背离'
if self.jb == 'd':
pre = '日K线 即将底背离'
if self.jb == 'w':
pre = '周K线 即将底背离'
if self.jb == '60':
pre = '60分钟K线 即将底背离'
if self.jb == '15':
pre = '15分钟K线 即将底背离'
self.save_name = 'D:\\0_stock_macd\\' + '_' + pre + '.xls'
line = 0
cnt = stock_code.shape[0]
print('开始计算,总数 ' + str(cnt) + ' 只')
for x in range(cnt):
pre2 = '剩余 ' + str(cnt - x - 1) + ' 只，完成 {:.2f}%'.format(
(x + 1) * 100 / cnt) + ' 选出 ' + str(line) + ' 只'
print('\r', pre, pre2.ljust(10), end='')
code = self.get_index(stock_code.iloc[x]['stock_code'])
df2 = self.get_MACD(code)
dbl_rst = self.analyze_bottom(df2, isprt)
if len(dbl_rst) > 3:
line += 1
df_rst.loc[line] = dbl_rst
print('\n \t\t', '完成！\n')
df_rst.to_excel(self.save_name, sheet_name='将要底背离')
def save_top(self, market='all', isprt=False):
df_rst = pd.DataFrame(columns=('类别', '股票代码', '即将金叉日期', '快线强弱',
'将要金叉周期', '大陆代码'))
# market不是'all'，从传入的文件取代码
stock_code = stock_base.get_stock_code(market)
if self.jb == 'm':
pre = '月K线 顶背离'
if self.jb == 'd':
pre = '日K线 顶背离'
if self.jb == 'w':
pre = '周K线 顶背离'
if self.jb == '60':
pre = '60分钟K线 顶背离'
if self.jb == '15':
pre = '15分钟K线 顶背离'
self.save_name = 'D:\\0_stock_macd\\' + '_' + pre + '.xls'
line = 0
cnt = stock_code.shape[0]
print('开始计算,总数 ' + str(cnt) + ' 只')
for x in range(cnt):
pre2 = '剩余 ' + str(cnt - x - 1) + ' 只，完成 {:.2f}%'.format(
(x + 1) * 100 / cnt) + ' 选出 ' + str(line) + ' 只'
print('\r', pre, pre2.ljust(10), end='')
code = self.get_index(stock_code.iloc[x]['stock_code'])
df2 = self.get_MACD(code)
df3 = self.analyze_top(df2, isprt)
def save_golden(self, market='all'):
df_rst = pd.DataFrame(columns=('类别', '股票代码', '金叉日期', '快线强弱', '红柱数量',
'大陆代码'))
# print('\r', str(10 - i).ljust(10), end='')
stock_code = stock_base.get_stock_code(market)
if self.jb == 'm':
pre = '月K线金叉'
if self.jb == 'd':
pre = '日K线金叉'
if self.jb == 'w':
pre = '周K线金叉'
if self.jb == '60':
pre = '60分钟K线金叉'
if self.jb == '15':
pre = '15分钟K线金叉'
self.save_name = 'D:\\0_stock_macd\\' + '_' + pre + '.xls'
line = 0
cnt = stock_code.shape[0]
print('开始计算,总数 ' + str(cnt) + ' 只')
for x in range(cnt):
pre2 = '剩余 ' + str(cnt - x - 1) + ' 只，完成 {:.2f}%'.format(
(x + 1) * 100 / cnt) + ' 选出 ' + str(line) + ' 只'
print('\r', pre, pre2.ljust(10), end='')
df = self.get_index(stock_code.iloc[x]['stock_code'])
df2 = self.get_MACD(df)
df3 = self.analyze_golden(df2)
if len(df3) > 1:
line += 1
df_rst.loc[line] = df3
print('\n\t\t', '完成！\n')
df_rst.to_excel(self.save_name, sheet_name='金叉清单')
def conditions(self):
self.statusbar.showMessage('正在计算...')
self.textEdit.clear()
if self.radioButton.isChecked():
# print('radioButton 月线')
path = 'D:\\0_stock_macd\\_月K线金叉.csv'
if self.radioButton_2.isChecked():
# print('radioButton_2 周线')
path = 'D:\\0_stock_macd\\_周K线金叉.csv'
if self.radioButton_3.isChecked():
# print('radioButton_3 日线')
path = 'D:\\0_stock_macd\\_日K线金叉.csv'
if self.radioButton_6.isChecked():
# print('radioButton_6 60 分钟级别')
macd_jb = mb.MACD_INDEX('60')
macd_jb.signal.send.connect(self.macd_progress)
if self.radioButton_7.isChecked():
# print('radioButton_7 15 分钟级别')
macd_jb = mb.MACD_INDEX('15')
macd_jb.signal.send.connect(self.macd_progress)
if self.radioButton_8.isChecked():
# print('radioButton_8 已金叉')
macd_jb.save_golden(path)
if self.radioButton_9.isChecked():
# print('radioButton_9 即将金叉 ')
macd_jb.save_bing_golden(path)
if self.radioButton_10.isChecked():
# print('radioButton_10 底背离')
macd_jb.save_bottom(path)
if self.radioButton_11.isChecked():
print('radioButton_11 刚刚金叉')
macd_jb.save_golden_now(path)
macd_jb.disconnect()
self.label.setText(' ')
stock_code = stb.get_stock_code('D:\\0_stock_macd\\_日K线金叉.csv')
cnt = stock_code.shape[0]
self.statusbar.showMessage('计算完成, 共选出 ' + str(cnt) + ' 只')
print('xxx'*9)
all_stock = stb.get_market_code('all')
print('yyy' * 9)
print( all_stock.shape[0] )
for x in range(cnt):
code = stock_code.iloc[x]['stock_code']
print('zzz' * 9)
for i in range(1, all_stock.shape[0]):
if all_stock.iloc[i]['stock_code'].find(code[3:]) > 0:
rst = '{: <4d}'.format(x + 1) + code
rst = rst + '\t' + all_stock.iloc[i]['stock_name']
self.textEdit.append(rst)
def golden_60(self):
macd_60 = mb.MACD_INDEX('60')
macd_60.save_golden('D:\\0_stock_macd\\_周K线金叉.xls')
stock_code = stb.get_stock_code(macd_60.save_name)
cnt = stock_code.shape[0]
code = '周线金叉60分钟级别金叉共 ' + str(cnt) + ' 只'
self.textEdit.append(code)
for x in range(cnt):
code = stock_code.iloc[x]['stock_code']
self.textEdit.append(code)
def save_bottom(self, market='all', isprt=False):
'''保存底背离股票代码'''
df_rst = pd.DataFrame(
columns=(
'指标类别',
'股票代码',
'日期',
'快线强弱',
'首次金叉时间',
'大陆代码'))
# market不是'all'，从传入的文件取代码
try:
stock_code = stock_base.get_stock_code(market)
except stock_base.stkBaseError:
print(stock_base.stkBaseError)
if self.jb == 'm':
pre = '月K线 即将底背离'
if self.jb == 'd':
pre = '日K线 即将底背离'
if self.jb == 'w':
pre = '周K线 即将底背离'
if self.jb == '60':
pre = '60分钟K线 即将底背离'
if self.jb == '15':
pre = '15分钟K线 即将底背离'
self.save_name = 'D:\\0_stock_macd\\' + '_' + pre + '.csv'
line = 0
cnt = stock_code.shape[0]
print('开始计算,总数 ' + str(cnt) + ' 只')
for x in range(cnt):
pre2 = ', 剩余 ' + str(cnt - x - 1) + ' 只，完成 {:.2f}%'.format(
(x + 1) * 100 / cnt) + ' 选出 ' + str(line) + ' 只'
print('\r', pre, pre2.ljust(10), end='')
self.signal.sendmsg(pre+', 总数 ' + str(cnt) + ' 只'+pre2)
try:
df = self.get_index(stock_code.iloc[x]['stock_code'])
except MACD_Error:
continue
try:
df2 = self.get_MACD(df)
except MACD_Error:
continue
try:
dbl_rst = ab.analyze_bottom(df2, isprt)
except ab.AnalyzeError:
continue
else:
line += 1
df_rst.loc[line] = dbl_rst
print('\n \t\t', '完成！\n')
df_rst.to_csv(self.save_name, index=False, header=True,encoding='utf-8')
def save_golden(self, market='all'):
df_rst = pd.DataFrame(
columns=(
'类别',
'股票代码',
'日期',
'快线强弱',
'红柱数量',
'大陆代码'))
# print('\r', str(10 - i).ljust(10), end='')
stock_code = stock_base.get_stock_code(market)
if self.jb == 'm':
pre = '月K线金叉'
if self.jb == 'd':
pre = '日K线金叉'
if self.jb == 'w':
pre = '周K线金叉'
if self.jb == '60':
pre = '60分钟K线金叉'
if self.jb == '15':
pre = '15分钟K线金叉'
self.save_name = 'D:\\0_stock_macd\\' + '_' + pre + '.csv'
line = 0
cnt = stock_code.shape[0]
print('开始计算,总数 ' + str(cnt) + ' 只')
for x in range(cnt):
pre2 = ', 剩余 ' + str(cnt - x - 1) + ' 只，完成 {:.2f}%'.format(
(x + 1) * 100 / cnt) + ' 选出 ' + str(line) + ' 只'
print('\r', pre, pre2.ljust(10), end='')
self.signal.sendmsg(pre+', 总数 ' + str(cnt) + ' 只'+pre2)
try:
df = self.get_index(stock_code.iloc[x]['stock_code'])
except MACD_Error:
continue
try:
df2 = self.get_MACD(df)
except MACD_Error:
continue
try:
# 金叉且开口向上
df3 = ab.analyze_golden_red(df2)
except ab.AnalyzeError:
continue
else:
line += 1
df_rst.loc[line] = df3
print('\n\t\t', '完成！请打开：', self.save_name, '\n')
df_rst.to_csv(self.save_name, index=False, header=True,encoding='utf-8')
def bottom_60(self):
bottom_60 = mb.MACD_INDEX('60')
bottom_60.save_bottom('D:\\0_stock_macd\\_周K线金叉.xls')
stock_code = stb.get_stock_code(bottom_60.save_name)
cnt = stock_code.shape[0]
code = '周线金叉60分钟底背离共 ' + str(cnt) + ' 只'
self.textEdit.append(code)
for x in range(cnt):
code = stock_code.iloc[x]['stock_code']
self.textEdit.append(code)
def golden_15(self):
macd_15 = mb.MACD_INDEX('15')
macd_15.save_golden('D:\\0_stock_macd\\_日K线金叉.xls')
stock_code = stb.get_stock_code(macd_15.save_name)
cnt = stock_code.shape[0]
code = '日线金叉15分钟级别金叉共 ' + str(cnt) + ' 只'
self.textEdit.append(code)
for x in range(cnt):
code = stock_code.iloc[x]['stock_code']
self.textEdit.append(code)
def save_bing_golden(self, market='all'):
"""周线选股时，日线即将金叉，或者已经金叉的日线级别增强判断"""
df_rst = pd.DataFrame(
columns=(
'类别',
'股票代码',
'日期',
'快线强弱',
'红柱数量',
'大陆代码'))
# print('\r', str(10 - i).ljust(10), end='')
stock_code = stock_base.get_stock_code(market)
if self.jb == 'm':
pre = '月K线(即将)金叉'
if self.jb == 'd':
pre = '日K线(即将)金叉'
if self.jb == 'w':
pre = '周K线(即将)金叉'
if self.jb == '60':
pre = '60分钟K(即将)线金叉'
if self.jb == '15':
pre = '15分钟K线(即将)金叉'
self.save_name = 'D:\\0_stock_macd\\' + '_' + pre + '.xls'
line = 0
cnt = stock_code.shape[0]
print('开始计算,总数 ' + str(cnt) + ' 只')
for x in range(cnt):
pre2 = '剩余 ' + str(cnt - x - 1) + ' 只，完成 {:.2f}%'.format(
(x + 1) * 100 / cnt) + ' 选出 ' + str(line) + ' 只'
print('\r', pre, pre2.ljust(10), end='')
try:
df = self.get_index(stock_code.iloc[x]['stock_code'])
except MACD_Error:
continue
try:
df2 = self.get_MACD(df)
except MACD_Error:
continue
try:
df3 = ab.analyze_bing_golden(df2)
except ab.AnalyzeError:
continue
else:
line += 1
df_rst.loc[line] = df3
print('\n\t\t', '完成！请打开：', self.save_name, '\n')
df_rst.to_excel(self.save_name, sheet_name='金叉清单')
def bottom_60(self):
self.statusbar.showMessage('正在获取网络数据计算 周线金叉60分钟级别底背离，请稍等！')
macd_d = mb.MACD_INDEX('60')
macd_d.save_bottom('D:\\0_stock_macd\\_周K线金叉.xls')
stock_code = stb.get_stock_code(macd_d.save_name)
cnt = stock_code.shape[0]
code = '周线金叉60分钟底背离共 ' + str(cnt) + ' 只'
self.textEdit_2.append(code)
for x in range(cnt):
code = stock_code.iloc[x]['stock_code']
self.textEdit_2.append(code)
def golden_15(self):
self.statusbar.showMessage('正在获取网络数据计算 日线金叉15分钟级别金叉，请稍等！')
macd_d = mb.MACD_INDEX('15')
macd_d.save_golden('D:\\0_stock_macd\\_日K线金叉.xls')
stock_code = stb.get_stock_code(macd_d.save_name)
cnt = stock_code.shape[0]
code = '日线金叉15分钟级别金叉共 ' + str(cnt) + ' 只'
self.textEdit_3.append(code)
for x in range(cnt):
code = stock_code.iloc[x]['stock_code']
self.textEdit_3.append(code)
{
'dif': dif[33:],
'dea': dea[33:],
'hist': hist[33:]
},
index=df2['date'][33:],
columns=['dif', 'dea', 'hist'])
# df3.plot(title='MACD')
# plt.show()
# 寻找 MACD 金叉和死叉
datenumber = int(df3.shape[0])
print(1, ' ~~~ 分隔符' * 4, '~~~ ')
print(datenumber)
print(2, ' ~~~ 分隔符' * 4, '~~~ ')
for i in range(datenumber - 1):
if ((df3.iloc[i, 0] <= df3.iloc[i, 1]) &
(df3.iloc[i + 1, 0] >= df3.iloc[i + 1, 1])):
print("MACD 金叉的日期： " + df3.index[i + 1])
if ((df3.iloc[i, 0] >= df3.iloc[i, 1]) &
(df3.iloc[i + 1, 0] <= df3.iloc[i + 1, 1])):
print("MACD 死叉的日期： " + df3.index[i + 1])
bs.logout()
return (dif, dea, macd)
if __name__ == '__main__':
df = stock_base.get_stock_code('D:\\0_stock_macd\\_月K线金叉.xls')
print(df)
def save_day_golden(self, market='all', isprt=False):
df_rst = pd.DataFrame(
columns=(
'类别',
'股票代码',
'日期',
'快线强弱',
'将要金叉周期',
'大陆代码'))
try:
stock_code = stock_base.get_stock_code(market)
except sb.stkBaseError:
return
if self.jb == 'm':
pre = '月K线(即将)金叉'
if self.jb == 'd':
pre = '日K线(即将)金叉'
if self.jb == 'w':
pre = '周K线(即将)金叉'
if self.jb == '60':
pre = '60分钟K线(即将)金叉'
if self.jb == '15':
pre = '15分钟K线(即将)金叉'
self.save_name = 'D:\\0_stock_macd\\' + '_' + pre + '.xls'
line = 0
cnt = stock_code.shape[0]
print('开始计算,总数 ' + str(cnt) + ' 只')
for x in range(cnt):
pre2 = '剩余 ' + str(cnt - x - 1) + ' 只，完成 {:.2f}%'.format(
(x + 1) * 100 / cnt) + ' 选出 ' + str(line) + ' 只'
print('\r', pre, pre2.ljust(10), end='')
try:
df = self.get_index(stock_code.iloc[x]['stock_code'])
except MACD_Error:
continue
try:
df2 = self.get_MACD(df)
except MACD_Error:
continue
try:
df3 = ab.analyze_bing_golden(df2, isprt)
except ab.AnalyzeError:
pass
else:
line += 1
df_rst.loc[line] = df3
continue
try:
df3 = ab.analyze_golden(df2, isprt)
except ab.AnalyzeError:
continue
else:
line += 1
df_rst.loc[line] = df3
print('\n \t\t', '完成！\n')
df_rst.to_excel(self.save_name, sheet_name='将要金叉清单')
