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小市值止损策略【年化104.11% 最大回撤30.65%】
策略
作者: 水滴
```python # 风险及免责提示:该策略由聚宽用户在聚宽社区分享,仅供学习交流使用。 # 原文一般包含策略说明,如有疑问请到原文和作者交流讨论。 # 原文网址:https://www.joinquant.com/post/47721 # 标题:小市值止损策略【年化104.11% 最大回撤30.65%】 # 作者:天山灵兔 # 原回测条件:2014-01-01 到 2024-04-16, ¥100000, 每天 # 原文网址:https://www.joinquant.com/post/47523 # 标题:十年回测 年化103.32% 最大回撤23.89% # 作者:jason_99 # 原文网址:https://www.joinquant.com/post/47346 # 标题:14-24【年化86%|胜率66%|回撤33%】无未来函数 # 作者:zycash #导入函数库 from jqdata import * from jqfactor import * import numpy as np import pandas as pd import random from datetime import time #import datetime #初始化函数 def initialize(context): # 开启防未来函数,设定基线,真实价格,滑点及交易成本 set_option('avoid_future_data', True) set_benchmark('000001.XSHG') set_option('use_real_price', True) set_slippage(FixedSlippage(3/10000)) set_order_cost(OrderCost(open_tax=0, close_tax=0.001, open_commission=2.5/10000, close_commission=2.5/10000, close_today_commission=0, min_commission=5),type='stock') # 过滤order中低于error级别的日志 log.set_level('order', 'error') log.set_level('system', 'error') log.set_level('strategy', 'debug') #初始化全局变量 bool g.trading_signal = True # 是否为可交易日 g.pass_months = True # 是否一四月空仓 g.run_stoploss = True # 是否进行止损 #全局变量list g.hold_list = [] #当前持仓的全部股票 g.yesterday_HL_list = [] #记录持仓中昨日涨停的股票 g.target_list = [] #准备买入的标的 g.not_buy_again = [] #不再买入的标的 g.history_hold_list = [] #持仓历史记录 #全局变量float/str g.stock_num = 5 g.up_price = 80 # 设置股票单价 g.reason_to_sell = '' g.stoploss_limit = 0.07 # 止损线 0.07 g.stoploss_market = 0.05 # 市场趋势止损参数 g.limit_days = 5 #不再买入限制天数 g.etf='511880.XSHG' #空仓买入银华日利ETF # 设置交易运行时间 run_daily(prepare_stock_list, '9:00') # 每天开盘前更新全局参数,持仓和昨日涨停 run_weekly(weekly_adjustment,2,'10:00') # 每周二上午10点检查并调仓,不会更新卖出原因 run_daily(sell_stocks, time='10:30') # 每天检查止损函数,止损会更新卖出原因 run_daily(sell_stocks, time='14:00') # 每天检查止损函数,止损会更新卖出原因 # 涨停可能提前止盈并更新卖出原因,查看剩余金额,结合卖出原因决定是否需要买入,并重置卖出原因 run_daily(trade_afternoon, time='14:30') run_daily(close_account, '14:30') # 特殊月份提前清仓 # run_weekly(print_position_info, 5, time='15:30', reference_security='000300.XSHG') # 每周5结束后统计持仓盈亏 #1-1 更新全局参数,每天开盘前运行 def prepare_stock_list(context): # 更新已持有列表 g.hold_list= list(context.portfolio.positions) #更新最近一段时间持有过的股票列表 g.not_buy_again = [] if len(g.history_hold_list) >= g.limit_days: g.history_hold_list = g.history_hold_list[-g.limit_days:] # 更新持有股票中昨日涨停的股票 if g.hold_list: df = get_price(g.hold_list, end_date=context.previous_date, frequency='daily', fields=['close','high_limit','low_limit'], count=1, panel=False, fill_paused=False) df = df[df['close'] == df['high_limit']] g.yesterday_HL_list = list(df.code) else: g.yesterday_HL_list = [] #判断是否为特殊日期 g.trading_signal = today_is_pass(context) #1-2 选股模块,每周运行一遍 def get_stock_list(context): final_list = [] by_date = context.previous_date - datetime.timedelta(days=375) # 过滤次新股,上市不满1年的 initial_list = get_index_stocks('399101.XSHE', by_date) # 从中小综指中选股 initial_list = filter_kcbj_stock(initial_list) # 过滤科创北交所股票,改为保留沪深主板股票 initial_list = filter_st_stock(initial_list) # 过滤ST股票 initial_list = filter_paused_stock(initial_list) # 过滤停牌股票 initial_list = filter_limitup_stock(context, initial_list) # 过滤昨日涨停股票,持仓股不在此列 initial_list = filter_limitdown_stock(context, initial_list) # 过滤昨日跌停股票,持仓股不在此列 initial_list = filter_highprice_stock(context, initial_list) # 过滤股价过高的票,持仓股不在此列 q = query(valuation.code,valuation.market_cap).filter(valuation.code.in_(initial_list), valuation.market_cap.between(5,50)).order_by(valuation.market_cap.asc()) # 5到50亿市值,从小到大排列 df_fun = get_fundamentals(q)[:50] final_list = list(df_fun.code) return final_list # 返回前50只 #1-3 每周调整持仓 def weekly_adjustment(context): if g.trading_signal == True: #获取应买入列表 g.target_list = get_stock_list(context) # 选取50只符合条件的股票 target_list = g.target_list[:g.stock_num] log.info("目标股:"+str(target_list)) #调仓卖出,没有更新卖出原因 for stock in g.hold_list: if (stock not in target_list) and (stock not in g.yesterday_HL_list): # 卖出非目标且非昨日涨停的股票 position = context.portfolio.positions[stock] if not close_position(position): # 卖出股票操作 log.info("!!!卖出失败[%s]" % (stock)) #调仓买入 buy_security(context,target_list) #1-7 每天定点检查止损 def sell_stocks(context): if g.run_stoploss: #计算平均涨跌幅 past_prices = history(2, '1d', 'close', get_index_stocks('399101.XSHE')) down_ratio = (past_prices.iloc[-1] / past_prices.iloc[0]).mean() #print(down_ratio) if down_ratio <= 1-g.stoploss_market: #g.reason_to_sell = 'stoploss' log.debug("基准指数暴跌,平均降幅{:.2%},全部清仓".format(1-down_ratio)) for stock in context.portfolio.positions: order_target_value_(stock, 0) else: for stock in context.portfolio.positions: if context.portfolio.positions[stock].price < context.portfolio.positions[stock].avg_cost * (1-g.stoploss_limit): log.debug("达到止损,卖出{}".format(stock)) order_target_value_(stock, 0) g.reason_to_sell = 'stoploss' g.not_buy_again.append(stock) #记录止损股 #1-4 昨日涨停股票确定是否止盈,卖出时会记录卖出原因 def check_limit_up(context): if g.yesterday_HL_list: #对昨日涨停股票观察到尾盘如不涨停则提前卖出,如果涨停即使不在应买入列表仍暂时持有 current_data = get_current_data() for stock in g.yesterday_HL_list: if current_data[stock].last_price < current_data[stock].high_limit: position = context.portfolio.positions[stock] log.info("[%s]涨停打开,卖出" % (stock)) if close_position(position): g.reason_to_sell = 'limitup' g.not_buy_again.append(stock) #记录涨停开板股 else: log.info("[%s]涨停,继续持有" % (stock)) g.history_hold_list.append(g.not_buy_again) #1-5 如果账户还有金额则执行此操作,会重置卖出原因 def check_remain_amount(context): if g.reason_to_sell in ['limitup', 'stoploss']: #判断售出原因,如果是涨停售出则可以再次交易,如果是止损后再交易收益更高 g.hold_list= list(context.portfolio.positions) if len(g.hold_list) < g.stock_num: target_list = g.target_list # 每周更新的股票池 target_list = filter_not_buy_again(target_list) # 排除涨停开板、止损股 target_list = target_list[:min(g.stock_num, len(target_list))] log.info('有余额可用'+str(round((context.portfolio.cash),2))+'元。'+ str(target_list)) buy_security(context,target_list) g.reason_to_sell = '' #1-6 下午检查交易 def trade_afternoon(context): if g.trading_signal == True: check_limit_up(context) check_remain_amount(context) else: #空仓买日银华日利 value = context.portfolio.available_cash if value>0 and g.etf not in context.portfolio.positions: order_value(g.etf, value) #2-1 过滤停牌股票 def filter_paused_stock(stock_list): current_data = get_current_data() return [stock for stock in stock_list if not current_data[stock].paused] #2-2 过滤ST及其他具有退市标签的股票 def filter_st_stock(stock_list): current_data = get_current_data() return [stock for stock in stock_list if not current_data[stock].is_st and 'ST' not in current_data[stock].name and '*' not in current_data[stock].name and '退' not in current_data[stock].name] #2-3 过滤科创北交股票,改为仅保留沪深主板股票 def filter_kcbj_stock(stock_list): for stock in stock_list[:]: if stock[0] == '4' or stock[0] == '8' or stock[:3] == '688' or stock[:3] == '300': stock_list.remove(stock) return stock_list #2-4 过滤除持仓外涨停的股票 def filter_limitup_stock(context, stock_list): df = get_price(stock_list, end_date=context.previous_date, frequency='daily', fields=['close','high_limit','low_limit'], count=1, panel=False, fill_paused=False) df = df[df['close'] == df['high_limit']] return [stock for stock in stock_list if stock in g.hold_list or stock not in list(df.code)] #2-5 过滤除了持仓外跌停的股票 def filter_limitdown_stock(context, stock_list): df = get_price(stock_list, end_date=context.previous_date, frequency='daily', fields=['close','high_limit','low_limit'], count=1, panel=False, fill_paused=False) df = df[df['close'] == df['low_limit']] return [stock for stock in stock_list if stock in g.hold_list or stock not in list(df.code)] #2-6 过滤次新股 def filter_new_stock(context,stock_list): yesterday = context.previous_date return [stock for stock in stock_list if not yesterday - get_security_info(stock).start_date < datetime.timedelta(days=375)] #2-6.5 过滤除持仓外股价过高的 def filter_highprice_stock(context,stock_list): last_prices = history(1, unit='1d', field='close', security_list=stock_list) return [stock for stock in stock_list if stock in g.hold_list or last_prices[stock][-1] <= g.up_price] #2-7 删除本周一买入的股票 def filter_not_buy_again(stock_list): # 获取不再买股票列表 temp_set = set() for hold_list in g.history_hold_list: temp_set = temp_set.union(set(hold_list)) not_buy_again_list = list(temp_set) return [stock for stock in stock_list if stock not in not_buy_again_list] #3-1 交易模块-自定义下单 def order_target_value_(security, value): if value == 0: log.info("卖出[%s]" % (security)) else: log.info("买入[%s](%s元)" % (security,value)) return order_target_value(security, value) #3-2 交易模块-开仓 def open_position(security, value): order = order_target_value_(security, value) if order != None and order.filled > 0: return True return False #3-3 交易模块-平仓,调仓,止盈,特殊月份卖出用这个函数,止损不是这个 def close_position(position): security = position.security order = order_target_value_(security, 0) # 可能会因停牌失败 if order != None: if order.status == OrderStatus.held and order.filled == order.amount: return True return False #3-4 买入模块 def buy_security(context,target_list): #调仓买入 position_count = len(context.portfolio.positions) # 持仓股数量 target_num = len(target_list) # 目标股数量 if target_num > position_count: value = context.portfolio.available_cash / (target_num - position_count) for stock in target_list: if stock not in context.portfolio.positions: if open_position(stock, value): if len(context.portfolio.positions) == target_num: break #4-1 判断今天是否为特殊时间段 def today_is_pass(context): if g.pass_months: today = context.current_dt.strftime('%m-%d') if (('04-05' <= today) and (today <= '04-30')) or (('01-01' <= today) and (today <= '01-31')): return False else: return True else: return True #4-2 特殊月份清仓 def close_account(context): if g.trading_signal == False: for stock in g.hold_list: if stock != g.etf: position = context.portfolio.positions[stock] if not close_position(position): log.info("!!!卖出失败[%s]" % (stock)) ```
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