Пример #1
0
 def on_bar(self, data):
     """
     Callback of new bar data update.
     """
     best_bardata = {}
     for bar in data.values():
         flag = get_symbol_flag(bar.symbol)
         if flag not in Future_Params:
             continue
         if bar.symbol not in self.cache_bar:
             self.cache_bar[bar.symbol] = []
         self.cache_bar[bar.symbol].append(bar)
         if not self.is_expire(bar):  # 剩余天数 小于等于7天 排除
             best_bar = best_bardata.get(flag, None)
             if not best_bar or bar.volume > best_bar.volume:
                 best_bardata[flag] = bar
     self.day += 1
     if not self.inited:
         return
     if len(self.active_symbol) <= 0:
         # 选取对冲合约
         self.select_symbol(best_bardata)
         return
     if self.day >= self.Z:
         # 持续持有Z(参数)日后全部平仓 第二天重新开始选取对冲合约
         self.clear_all_symbol()
         return
Пример #2
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 def on_start(self):
     """
     Callback when strategy is started.
     """
     self.write_log("策略启动")
     self.put_event()
     for data in list(self.cache_bar.values()):
         bar = data[-1]
         flag = get_symbol_flag(bar.symbol)
         self.change_flag.add(flag)
     for flag in self.change_flag:
         self.change_active_symbol(flag)
     self.change_flag.clear()
Пример #3
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 def loss_plan_2(self):
     # 若整体亏损超过P1(2%),则平仓所有品种
     loss_price = 0
     max_price = 0
     for symbol, temp in self.active_symbol.items():
         pos = temp['pos']
         price = temp['price']
         bar = self.cache_bar[symbol][-1]
         flag = get_symbol_flag(bar.symbol)
         param = Future_Params[flag]
         if pos > 0:
             loss_price += (bar.close_price -
                            price) * abs(pos) * param['size']
         elif pos < 0 and bar.close_price > price:
             loss_price += (price -
                            bar.close_price) * abs(pos) * param['size']
         max_price += price * abs(pos) * param['size']
     if loss_price / max_price * 100 <= -self.P1:
         self.clear_all_symbol()
Пример #4
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 def change_active_symbol(self):
     self.change_flag = False
     best_bar = None
     for data in list(self.cache_bar.values()):
         bar = data[-1]
         if self.symbol_expire[bar.symbol] - bar.datetime <= timedelta(
                 days=15):
             self.cache_bar.pop(bar.symbol)
             continue
         if not best_bar:
             best_bar = bar
         elif bar.volume > best_bar.volume:
             best_bar = bar
         elif bar.volume == best_bar.volume and self.symbol_expire[
                 bar.symbol] < self.symbol_expire[best_bar.symbol]:
             best_bar = bar
     if not best_bar:
         print('not active symbol', self.active_symbol)
         self.active_symbol = None
         return
     self.active_symbol = best_bar.symbol
     flag = get_symbol_flag(best_bar.symbol)
     param = Future_Params[flag]
     param['pos'] = int(150000 /
                        (best_bar.close_price * param['size'] * 0.3))
     print('active symbol', best_bar.symbol)
     data = self.cache_bar[self.active_symbol]
     self.am = ArrayManager()
     for bar in data:
         am = self.am
         am.update_bar(bar)
         am.update_extra(
             (bar.low_price + bar.high_price + bar.close_price * 2) / 4)
     for symbol in list(self.cache_bar.keys()):
         if self.is_expire(symbol):
             self.cache_bar.pop(symbol)
Пример #5
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 def change_active_symbol(self, flag):
     best_bar = None
     for data in list(self.cache_bar.values()):
         bar = data[-1]
         if get_symbol_flag(bar.symbol) != flag:
             continue
         if self.symbol_expire[bar.symbol] - bar.datetime <= timedelta(
                 days=15):
             self.cache_bar.pop(bar.symbol)
             continue
         if not best_bar:
             best_bar = bar
         elif bar.volume > best_bar.volume:
             best_bar = bar
         elif bar.volume == best_bar.volume and self.symbol_expire[
                 bar.symbol] < self.symbol_expire[best_bar.symbol]:
             best_bar = bar
     if not best_bar:
         self.active_symbol[flag] = None
         print('change_active_symbol not best symbol', flag)
         return
     self.active_symbol[flag] = best_bar.symbol
     param = Future_Params[flag]
     param['pos'] = int(
         150000 / (best_bar.close_price * self.cta_engine.get_size() * 0.3))
     print('active symbol', best_bar.symbol)
     data = self.cache_bar[best_bar.symbol]
     self.am[flag] = ArrayManager()
     am = self.am[flag]
     for bar in data:
         am.update_bar(bar)
         am.update_extra(
             (bar.low_price + bar.high_price + bar.close_price * 2) / 4)
     for symbol in list(self.cache_bar.keys()):
         if self.is_expire(symbol):
             self.cache_bar.pop(symbol)
Пример #6
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 def reset_symbol_pos(self, bar):
     flag = get_symbol_flag(bar.symbol)
     param = Future_Params[flag]
     pos = int(150000 / (bar.close_price * param['size'] * 0.3))
     return pos
Пример #7
0
    def on_bar(self, data):
        """
        Callback of new bar data update.
        """
        if self.change_flag and self.pos == 0:
            self.change_active_symbol()
        best_bar = None
        for bar in data.values():
            if self.is_expire(bar.symbol):
                continue
            if bar.symbol not in self.cache_bar:
                self.cache_bar[bar.symbol] = []
            self.cache_bar[bar.symbol].append(bar)
            if not best_bar or bar.volume > best_bar.volume:
                best_bar = bar
        if not self.active_symbol:
            return

        # 交易合约是否切换
        expire = self.symbol_expire[self.active_symbol]
        bar = self.cache_bar[self.active_symbol][-1]
        am = self.am
        am.update_bar(bar)
        am.update_extra(
            (bar.low_price + bar.high_price + bar.close_price * 2) / 4)
        self.cta_engine.set_order_bar(bar)
        change = False
        flag = get_symbol_flag(self.active_symbol)
        one_pos = Future_Params[flag]['pos']
        if expire - bar.datetime <= timedelta(days=7):
            # 小于7天平仓做主力合约
            change = True
        elif expire - bar.datetime <= timedelta(days=15):
            # 小于15天未开仓做主力合约
            if self.pos == 0:
                change = True
        elif best_bar.volume > 0:
            if not self.change_flag and bar.volume / best_bar.volume < 0.01:
                # 小于主力合约35% 下一次平仓做主力合约
                if self.pos == 0:
                    change = True
                else:
                    self.change_flag = True
            elif bar.volume / best_bar.volume < 0.001:
                # 小于主力合约10%平仓做主力合约
                change = True
        if change:
            if self.pos > 0:
                self.sell(bar.close_price, one_pos)
            elif self.pos < 0:
                self.cover(bar.close_price, one_pos)
            self.change_flag = True
            # self.change_active_symbol()

        elif len(self.cache_bar[self.active_symbol]) >= self.test_day:
            mac = talib.MA(am.extra, self.mac_day)[-1]
            qg = max(am.open[-2], am.close[-2])
            qd = min(am.open[-2], am.close[-2])  #这个地方我改成了min

            macd, signal, hist = am.macd(self.macd_param1, self.macd_param2,
                                         self.macd_param3, True)
            if self.pos > 0:
                if bar.close_price < mac and bar.close_price < qd:
                    self.sell(bar.close_price, one_pos)
            if self.pos < 0:
                if bar.close_price > mac and bar.close_price > qg:
                    self.cover(bar.close_price, one_pos)
            if self.pos == 0:
                if bar.close_price > mac and bar.close_price > qg and macd[
                        -1] > signal[-1] and bar.close_price > bar.open_price:
                    self.buy(bar.close_price, one_pos)
                if bar.close_price < mac and bar.close_price < qd and macd[
                        -1] < signal[-1] and bar.close_price < bar.open_price:
                    self.short(bar.close_price, one_pos)

        self.put_event()
Пример #8
0
 def get_active_symbol(self, symbol):
     flag = get_symbol_flag(symbol)
     return self.active_symbol.get(flag, None)
Пример #9
0
 def add_symbol_pos(self, symbol, pos_change):
     flag = get_symbol_flag(symbol)
     old = self.symbol_pos.get(flag, 0)
     self.symbol_pos[flag] = old + pos_change
Пример #10
0
    def on_bar(self, data):
        """
        Callback of new bar data update.
        """
        for flag in list(self.change_flag):
            if self.get_symbol_pos(flag) == 0:
                self.change_active_symbol(flag)
                self.change_flag.remove(flag)
        best_bardata = {}
        for bar in data.values():
            flag = get_symbol_flag(bar.symbol)
            if flag not in Future_Params:
                continue
            if self.is_expire(bar.symbol):
                continue
            if bar.symbol not in self.cache_bar:
                self.cache_bar[bar.symbol] = []
            self.cache_bar[bar.symbol].append(bar)
            best_bar = best_bardata.get(flag, None)
            if not best_bar or bar.volume > best_bar.volume:
                best_bardata[flag] = bar
        if not self.inited:
            return
        for flag, best_bar in best_bardata.items():
            # 交易合约是否切换
            active_symbol = self.active_symbol.get(flag, None)
            if not active_symbol:
                if len(self.cache_bar[best_bar.symbol]) >= self.test_day:
                    self.change_active_symbol(flag)
                    active_symbol = self.active_symbol.get(flag, None)
            if not active_symbol:
                continue
            expire = self.symbol_expire[active_symbol]
            bar = self.cache_bar[active_symbol][-1]
            am = self.am[flag]
            am.update_bar(bar)
            am.update_extra(
                (bar.low_price + bar.high_price + bar.close_price * 2) / 4)
            self.cta_engine.set_order_bar(bar)
            change = False
            pos = self.get_symbol_pos(flag)
            one_pos = Future_Params[flag]['pos']
            if bar.datetime + timedelta(days=7) >= expire:
                # 小于7天平仓做主力合约
                print(bar.symbol, expire - bar.datetime)
                change = True
            elif bar.datetime + timedelta(days=15) >= expire:
                # 小于15天未开仓做主力合约
                if pos == 0:
                    change = True
                print(bar.symbol, expire - bar.datetime)
            elif best_bar.volume > 0:
                if flag not in self.change_flag and bar.open_interest / best_bar.open_interest < 0.1:
                    # 小于主力合约35% 下一次平仓做主力合约
                    if pos == 0:
                        change = True
                    else:
                        self.change_flag.add(flag)
                elif bar.open_interest / best_bar.open_interest < 0.05:
                    # 小于主力合约10%平仓做主力合约
                    change = True
            if change:
                if pos > 0:
                    self.sell(bar.close_price, one_pos)
                elif pos < 0:
                    self.cover(bar.close_price, one_pos)
                self.change_flag.add(flag)
            elif len(self.cache_bar[active_symbol]) >= self.test_day:
                mac = talib.MA(am.extra, self.mac_day)[-1]
                qg = max(am.open[-2], am.close[-2])
                qd = min(am.open[-2], am.close[-2])  #这个地方我改成了min

                macd, signal, hist = am.macd(self.macd_param1,
                                             self.macd_param2,
                                             self.macd_param3, True)
                if pos > 0:
                    if bar.close_price < mac and bar.close_price < qd:
                        self.sell(bar.close_price, one_pos)
                if pos < 0:
                    if bar.close_price > mac and bar.close_price > qg:
                        self.cover(bar.close_price, one_pos)
                if pos == 0:
                    if bar.close_price > mac and bar.close_price > qg and macd[
                            -1] > signal[
                                -1] and bar.close_price > bar.open_price:
                        self.buy(bar.close_price, one_pos)
                    if bar.close_price < mac and bar.close_price < qd and macd[
                            -1] < signal[
                                -1] and bar.close_price < bar.open_price:
                        self.short(bar.close_price, one_pos)

            self.put_event()