本文整理汇总了Python中EventEngine.DyEvent.data['period']方法的典型用法代码示例。如果您正苦于以下问题：Python DyEvent.data['period']方法的具体用法？Python DyEvent.data['period']怎么用？Python DyEvent.data['period']使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类EventEngine.DyEvent的用法示例。
在下文中一共展示了DyEvent.data['period']方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: dyStockSelectRegressionEngineProcess
# 需要导入模块: from EventEngine import DyEvent [as 别名]
# 或者: from EventEngine.DyEvent import data['period'] [as 别名]
def dyStockSelectRegressionEngineProcess(outQueue, inQueue, tradeDays, strategy, codes, histDaysDataSource):
strategyCls = strategy['class']
parameters = strategy['param']
DyStockCommon.defaultHistDaysDataSource = histDaysDataSource
dummyEventEngine = DyDummyEventEngine()
queueInfo = DyQueueInfo(outQueue)
selectEngine = DyStockSelectSelectEngine(dummyEventEngine, queueInfo, False)
selectEngine.setTestedStocks(codes)
for day in tradeDays:
try:
event = inQueue.get_nowait()
except queue.Empty:
pass
parameters['基准日期'] = day
if selectEngine.runStrategy(strategyCls, parameters):
event = DyEvent(DyEventType.stockSelectStrategyRegressionAck)
event.data['class'] = strategyCls
event.data['period'] = [tradeDays[0], tradeDays[-1]]
event.data['day'] = day
event.data['result'] = selectEngine.result
outQueue.put(event)
else:
queueInfo.print('回归选股策略失败:{0}, 周期[{1}, {2}], 基准日期{3}'.format(strategyCls.chName, tradeDays[0], tradeDays[-1], day), DyLogData.error)示例2: _backTestingParamGroups
# 需要导入模块: from EventEngine import DyEvent [as 别名]
# 或者: from EventEngine.DyEvent import data['period'] [as 别名]
def _backTestingParamGroups(self):
"""
类似于窗口推进方式回测参数组合
"""
if not (self._paramGroups or self._runningBackTestingParamGroups):
self._eventEngine.put(DyEvent(DyEventType.finish))
return True
while len(self._runningBackTestingParamGroups) < self._paramGroupNbr:
if not self._paramGroups:
break
self._paramGroupCount += 1
self._info.print("开始回测策略: {0}, 参数组合: {1}...".format(self._strategyCls.chName, self._paramGroupCount), DyLogData.ind)
""" 开始一个参数组合的回测 """
# pop one param group
param = self._paramGroups.pop(0)
# it's one new running paramGroup
self._runningBackTestingParamGroups[self._paramGroupCount] = []
# notify Ui to create new param group widget for strategy
event = DyEvent(DyEventType.newStockStrategyBackTestingParam)
event.data['class'] = self._strategyCls
event.data['param'] = {'groupNo': self._paramGroupCount, 'data': param}
self._eventEngine.put(event)
""" 开始一个参数组合的多个周期回测 """
# 分成@self._periodNbr个周期，通过子进程并行运行
stepSize = (len(self._tradeDays) + self._periodNbr - 1)//self._periodNbr
if stepSize == 0: return False
for i in range(0, len(self._tradeDays), stepSize):
# period
tradeDays_ = self._tradeDays[i:i + stepSize]
# notify Ui to create new period widget for strategy
event = DyEvent(DyEventType.newStockStrategyBackTestingPeriod)
event.data['class'] = self._strategyCls
event.data['paramGroupNo'] = self._paramGroupCount
event.data['period'] = [tradeDays_[0], tradeDays_[-1]]
self._eventEngine.put(event)
sleep(1) # !!!sleep so that UI windows can be created firstly.
# it's one new running period for one new paramGroup
self._runningBackTestingParamGroups[self._paramGroupCount].append(event.data['period'])
# create subprocess for processing each period
reqData = DyStockBackTestingStrategyReqData(self._strategyCls, tradeDays_, self._settings, param, self._testedStocks, self._paramGroupCount)
self._proxy.startBackTesting(reqData)
return True