最经典的Momentum和Contrarian在中国市场的测试-yanheven改进
最后更新于：2022-04-01 21:54:29
# 最经典的Momentum和Contrarian在中国市场的测试-yanheven改进
> 来源：https://uqer.io/community/share/5663f369f9f06c6c8a91b3af
## Momentum
策略思路
+ Momentum：业绩好的股票会继续保持其上涨的势头，业绩差的股票会保持其下跌的势头
策略实现
+ Momentum：每次调仓将股票按照前一段时间的累计收益率排序并分组，买入历史累计收益 最高 的那一组
```py
start = datetime(2011, 1, 1) # 回测起始时间
end = datetime(2015, 12, 5) # 回测结束时间
benchmark = 'HS300' # 使用沪深 300 作为参考标准
universe = set_universe('HS300') # 股票池，沪深 300
capital_base = 100000 # 起始资金
refresh_rate = 10
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
history = account.get_attribute_history('closePrice', 20)
momentum = []
holding = account.valid_secpos
for stk in history:
if stk in account.universe:
his = history[stk]
change = his[-1] / his[0]
momentum.append((stk, change))
momentum = sorted(momentum, key=lambda x: x[1])
momentum = momentum[:10]
momentum_list = [i[0] for i in momentum]
buy_list = set(momentum_list) - set(holding)
sell_list = set(holding) - set(momentum_list)
for i in buy_list:
try:
order_pct_to(i, 0.1)
except Exception as e:
log.warn(i + str(e))
for i in sell_list:
order_to(i, 0)
```
## Contrarian
策略思路
+ Contrarian：股票在经过一段时间的上涨之后会出现回落，一段时间的下跌之后会出现反弹
策略实现
+ Contrarian：每次调仓将股票按照前一段时间的累计收益率排序并分组，买入历史累计收益 最低 的那一组
```py
start = datetime(2011, 1, 1) # 回测起始时间
end = datetime(2015, 12, 5) # 回测结束时间
benchmark = 'HS300' # 使用沪深 300 作为参考标准
universe = set_universe('HS300') # 股票池，沪深 300
capital_base = 100000 # 起始资金
refresh_rate = 10
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
history = account.get_attribute_history('closePrice', 20)
momentum = []
holding = account.valid_secpos
for stk in history:
if stk in account.universe:
his = history[stk]
change = his[-1] / his[0]
momentum.append((stk, change))
momentum = sorted(momentum, key=lambda x: x[1], reverse=True)
# if momentum[-1][1] < 1:
# log.info(holding)
# for i in holding:
# order_to(i, 0)
# # return
momentum = momentum[:10]
momentum_list = [i[0] for i in momentum]
buy_list = set(momentum_list) - set(holding)
sell_list = set(holding) - set(momentum_list)
for i in buy_list:
try:
order_pct_to(i, 0.1)
except Exception as e:
log.warn(i + str(e))
for i in sell_list:
order_to(i, 0)
```
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