“万圣节效应”:每年10月到次年5月,股票市场会出现上涨的趋势
- 股票池:流动性充足的10只个股,包括工商银行、中国石化等
- 每年10月,将账户中现金平均分成10份,分别买入相应的10只个股,满仓;次年5月全部抛出,空仓
start = '2010-04-01' # 回测起始时间
end = '2015-04-01' # 回测结束时间
benchmark = 'HS300' # 策略参考标准
# 证券池,流动性充足的10只个股
universe = ['601398.XSHG', '600028.XSHG', '601988.XSHG', '600036.XSHG', '600030.XSHG', '601318.XSHG', '600000.XSHG', '600019.XSHG', '600519.XSHG', '601166.XSHG']
capital_base = 100000 # 起始资金
longest_history = 1 # handle_data 函数中可以使用的历史数据最长窗口长度
refresh_rate = 1 # 调仓频率,即每 refresh_rate 个交易日执行一次 handle_data() 函数
def initialize(account): # 初始化虚拟账户状态
pass
def handle_data(account): # 每个交易日的买入卖出指令
yesterday = account.get_attribute_history('closePrice',1)
for stock in account.universe:
today = account.current_date
if stock not in account.valid_secpos and (today.month == 10): # 10月买入
# 现金平均分成10份,买入
amount = int(account.cash/len(account.universe)/ yesterday[stock][0])
order(stock, amount)
elif stock in account.valid_secpos and (today.month == 5): # 5月卖出
order_to(stock, 0)