def update(self, skip_last_date_check=False):
"""
更新最新的远程数据到本地
"""
if not skip_last_date_check:
last_trading_day = self.get_last_trading_day()
data_bundle_path = self._data_bundle_path
if os.path.exists(data_bundle_path):
date = self.get_data_last_date()
if date == last_trading_day:
return date # 数据已经是最新无需下载
# basic_system_log.debug('need update data bundle to ' + date.strftime('%Y-%m-%d'))
data_bundle_path = self._data_bundle_path
data_bundle_path = data_bundle_path[:len(data_bundle_path) -
len('/bundle')]
from rqalpha import main
main.update_bundle(data_bundle_path=data_bundle_path)
if not skip_last_date_check:
date = self.get_data_last_date()
return date
def update_bundle(data_bundle_path=None, locale="zh_Hans_CN", confirm=True):
from rqalpha import main
main.update_bundle(data_bundle_path=data_bundle_path, locale=locale, confirm=confirm)
def update_bundle(data_bundle_path=None, locale="zh_Hans_CN", confirm=True):
from rqalpha import main
main.update_bundle(data_bundle_path=data_bundle_path, locale=locale, confirm=confirm)
def update_bundle(data_bundle_path, locale):
"""
Sync Data Bundle
"""
from rqalpha import main
main.update_bundle(data_bundle_path, locale)
__author__ = 'zoulida' from rqalpha import main #需要定期更新，或者每次测试时更新。 main.update_bundle()
config_array = batch_algo_trade.set_strategy_config(strategy_name)
for index in range(len(config_array)):
strategy_info = config_array[index]
print("准备执行的策略==>" + strategy_info)
pos1 = strategy_info.rfind('\\') + 1
pos2 = strategy_info.rfind('.')
strategy_name_array.append(strategy_info[pos1:pos2])
# configInfo = parse_config({}, strategyInfo)
# main.run(configInfo)
print("执行结束")
print("----------开始生成组合报告----------")
batch_algo_trade.showAlgoTradeResult(strategy_name_array)
if __name__ == '__main__':
# 策略执行方式："singal"-执行单个策略，"batch"-批量执行策略，"download"-下载日线数据
exec_flag = "singal"
if exec_flag == "singal":
# 单个执行回测
atsmain("D:\\SmartCloudFuture\\rqmy\\rqalpha\\config.yml")
elif exec_flag == "batch":
# 批量执行回测
batch_exec("ma20")
elif exec_flag == "download":
# 下载日线数据
main.update_bundle("D:\\SmartCloudFuture\\rqmy\\rqalpha") # 获取回测数据
else:
print("策略执行错误，未知的执行方式")
def update_bundle(data_bundle_path, locale):
"""
Sync Data Bundle
"""
from rqalpha import main
main.update_bundle(data_bundle_path, locale)
configArray = batchAlgoTrade.setStrategyConfig(strategyName)
for index in range(len(configArray)):
strategyInfo = configArray[index]
print("准备执行的策略==>" + strategyInfo)
pos1 = strategyInfo.rfind('\\') + 1
pos2 = strategyInfo.rfind('.')
StrategyNameArray.append(strategyInfo[pos1:pos2])
# configInfo = parse_config({}, strategyInfo)
# main.run(configInfo)
print("执行结束")
print("----------开始生成组合报告----------")
batchAlgoTrade.showAlgoTradeResult(StrategyNameArray)
if __name__ == '__main__':
# 策略执行方式："singal"-执行单个策略，"batch"-批量执行策略，"download"-下载日线数据
execFlag = "singal"
if execFlag == "singal":
# 单个执行回测
atsmain("D:\\OpenSourceTradePlatform\\atspy\\rqalpha\\config.yml")
elif execFlag == "batch":
# 批量执行回测
batchExec("ma20")
elif execFlag == "download":
# 下载日线数据
main.update_bundle(
"D:\\OpenSourceTradePlatform\\atspy\\rqalpha") # 获取回测数据
else:
print("策略执行错误，未知的执行方式")
