Ejemplo n.º 1
0
 def __init__(self, access_key, secret_key, passphrase, instrument_id, margin_mode=None, leverage=None):
     """
     okex永续合约
     :param access_key:
     :param secret_key:
     :param passphrase:
     :param instrument_id: 例如:"BTC-USDT-SWAP", "BTC-USD-SWAP"
     :param leverage:杠杆倍数,如不填则默认设置20倍杠杆
     """
     self.__access_key = access_key
     self.__secret_key = secret_key
     self.__passphrase = passphrase
     self.__instrument_id = instrument_id
     self.__okex_swap = okexswap.SwapAPI(self.__access_key, self.__secret_key, self.__passphrase)
     self.__leverage = leverage or 20
     if margin_mode == "fixed":
         try:
             self.__okex_swap.set_leverage(leverage=self.__leverage, instrument_id=self.__instrument_id, side=1)
             self.__okex_swap.set_leverage(leverage=self.__leverage, instrument_id=self.__instrument_id, side=2)
         except Exception as e:
             logger.error("OKEX永续合约设置杠杆倍数失败!请检查账户是否已设置成逐仓模式!错误:{}".format(str(e)))
     else:
         try:
             self.__okex_swap.set_leverage(leverage=self.__leverage, instrument_id=self.__instrument_id, side=3)
         except Exception as e:
             logger.error("OKEX永续合约设置杠杆倍数失败!请检查账户是否已设置成全仓模式!错误:{}".format(str(e)))
Ejemplo n.º 2
0
 def __init__(self,
              access_key,
              secret_key,
              passphrase,
              instrument_id,
              margin_mode=None,
              leverage=None):
     """
     okex交割合约,初始化时会自动设置成全仓模式,可以传入参数设定开仓杠杆倍数。
     设置合约币种账户模式时,注意:当前有仓位或者有挂单时禁止切换账户模式。
     :param access_key:
     :param secret_key:
     :param passphrase:
     :param instrument_id: 例如:"BTC-USD-201225", "BTC-USDT-201225"
     :param leverage:杠杆倍数,如不填则默认设置为20倍杠杆
     """
     self.__access_key = access_key
     self.__secret_key = secret_key
     self.__passphrase = passphrase
     self.__instrument_id = instrument_id
     self.__okex_futures = okexfutures.FutureAPI(self.__access_key,
                                                 self.__secret_key,
                                                 self.__passphrase)
     self.__leverage = leverage or 20
     if margin_mode == "fixed":
         try:
             self.__okex_futures.set_margin_mode(
                 underlying=self.__instrument_id.split("-")[0] + "-" +
                 self.__instrument_id.split("-")[1],
                 margin_mode="fixed")  # 设置账户模式为逐仓模式
             self.__okex_futures.set_leverage(
                 leverage=self.__leverage,
                 underlying=self.__instrument_id.split("-")[0] + "-" +
                 self.__instrument_id.split("-")[1],
                 instrument_id=self.__instrument_id,
                 direction="long")  # 设置做多方向杠杆倍数
             self.__okex_futures.set_leverage(
                 leverage=self.__leverage,
                 underlying=self.__instrument_id.split("-")[0] + "-" +
                 self.__instrument_id.split("-")[1],
                 instrument_id=self.__instrument_id,
                 direction="short")  # 设置做空方向杠杆倍数
         except Exception as e:
             logger.error("OKEX交割合约设置逐仓模式失败!错误:{}".format(str(e)))
     else:
         try:
             self.__okex_futures.set_margin_mode(
                 underlying=self.__instrument_id.split("-")[0] + "-" +
                 self.__instrument_id.split("-")[1],
                 margin_mode="crossed")
             self.__okex_futures.set_leverage(
                 leverage=self.__leverage,
                 underlying=self.__instrument_id.split("-")[0] + "-" +
                 self.__instrument_id.split("-")[1])  # 设置账户模式为全仓模式后再设置杠杆倍数
         except Exception as e:
             logger.error("OKEX交割合约设置全仓模式失败!错误:{}".format(str(e)))
Ejemplo n.º 3
0
            plots.append(fplt.plot(lowerband, legend="LOWERBAND"))
        else:
            # every time after we just update the data sources on each plot
            plots[0].update_data(candlesticks)
            plots[1].update_data(volumes)
            plots[2].update_data(upperband)
            plots[3].update_data(middleband)
            plots[4].update_data(lowerband)


if __name__ == "__main__":
    try:
        kline = Kline()
        plots = []
        fplt.foreground = '#FFFFFF'  # 前景色
        fplt.background = '#333333'  # 背景色
        fplt.odd_plot_background = '#333333'  # 第二层图纸的背景色
        fplt.cross_hair_color = "#FFFFFF"  # 准星的颜色
        ax, ax2 = fplt.create_plot('Realtime kline',
                                   init_zoom_periods=100,
                                   maximize=False,
                                   rows=2)
        fplt.add_legend("VOLUME", ax2)  # 增加"VOLUME"图例
        kline.update()
        fplt.timer_callback(
            kline.update,
            5.0)  # update (using synchronous rest call) every N seconds
        fplt.show()
    except:
        logger.error()
    def begin_trade(self, kline=None):
        try:  # 异常处理
            if self.indicators.CurrentBar(
                    kline=kline) < self.bollinger_lengths:  # 如果k线数据不够长就返回
                return

            timestamp = ts_to_datetime_str(utctime_str_to_ts(
                kline[-1]
                [0])) if kline else get_localtime()  # 非回测模式下时间戳就是当前本地时间

            if self.indicators.BarUpdate(kline=kline):
                self.counter = 0  # k线更新时还原计数器
                if self.out_day > 10:  # 计算MA的天数最小递减到10。如果达到10,则不再递减。
                    self.out_day -= 1  # 自适应出场ma的长度参数根据持仓周期递减,持有头寸的时间每多一天,计算MA的天数减1

            deviation = float(
                self.indicators.STDDEV(self.bollinger_lengths,
                                       nbdev=2,
                                       kline=kline)[-1])  # 标准差
            middleband = float(
                self.indicators.BOLL(self.bollinger_lengths,
                                     kline=kline)['middleband'][-1])  # 布林通道中轨
            upperband = float(middleband + deviation)  # 布林通道上轨
            lowerband = float(middleband - deviation)  # 布林通道下轨
            filter = float(
                self.market.close(-1, kline=kline) - self.market.close(
                    (self.filter_length * -1) - 1,
                    kline=kline))  # 过滤器:当日收盘价减去30日前的收盘价
            ma = float(self.indicators.MA(self.out_day,
                                          kline=kline)[-1])  # 自适应移动出场平均线

            # 策略主体
            # 若k线数据足够长,且满足过滤条件,且当根k线最高价大于等于布林通道上轨,买入开多。
            # 开仓处也设置计数器过滤,是为了防止没有启用交易助手的情况下挂单未成交,仓位为零时当根k线一直满足开仓条件,会重复挂单。
            if self.indicators.CurrentBar(
                    kline=kline
            ) >= self.bollinger_lengths and filter > 0 and self.market.high(
                    -1, kline=kline) > upperband and self.counter < 1:
                if self.position.amount() == 0:  # 若当前无持仓
                    price = upperband  # 开多价格为布林通道上轨的值
                    amount = round(self.total_asset / upperband /
                                   self.contract_value)  # 合约张数取整
                    info = self.exchange.buy(price,
                                             amount)  # 买入开多,并将返回的信息赋值给变量info
                    push(info)  # 推送信息
                    storage.mysql_save_strategy_run_info(
                        self.database, self.datasheet, timestamp, "买入开多",
                        price, amount, amount * price * self.contract_value,
                        price, "long", amount, 0, self.total_profit,
                        self.total_asset)  # 将信息保存至数据库
                    self.counter += 1  # 此策略是在盘中开仓,而在回测时,每根bar只会运行一次,每根bar上的价格不分时间先后,故此处开仓后计数器加1,也就是当根k线不平仓
                    # 因为实盘时每个ticker进来策略就会运行一次。注意回测和实盘策略运行机制的不同。
                    self.out_day = self.bollinger_lengths  # 开仓后赋值
            # 开空
            if self.indicators.CurrentBar(
                    kline=kline
            ) >= self.bollinger_lengths and filter < 0 and self.market.low(
                    -1, kline=kline) < lowerband and self.counter < 1:
                if self.position.amount() == 0:
                    price = lowerband
                    amount = round(self.total_asset / upperband /
                                   self.contract_value)
                    info = self.exchange.sellshort(price, amount)
                    push(info)
                    storage.mysql_save_strategy_run_info(
                        self.database, self.datasheet, timestamp, "卖出开空",
                        price, amount, amount * price * self.contract_value,
                        price, "short", amount, 0, self.total_profit,
                        self.total_asset)
                    self.counter += 1
                    self.out_day = self.bollinger_lengths  # 开仓后赋值
            # 如果当前持多,且当根k线最低价小于等于中轨值,触发保护性止损,就平多止损
            # 因为回测是一根k线上运行整个策略一次,所以要实现当根k线开仓后当根k线不平仓,需要将self.counter < 1的条件加在平仓的地方
            if self.position.direction() == "long" and self.market.low(
                    -1, kline=kline) < middleband and self.counter < 1:
                profit = self.position.coverlong_profit(
                    last=middleband)  # 此处计算平多利润时,传入最新价last为中轨值,也就是触发止损价格的那个值。
                self.total_profit += profit  # 计算经过本次盈亏后的总利润
                self.total_asset += profit  # 计算经过本次盈亏后的总资金
                price = middleband  # 平多价格为中轨值
                amount = self.position.amount()  # 平仓数量为当前持仓数量
                info = self.exchange.sell(price, amount)
                push(info)
                self.counter += 1
                storage.mysql_save_strategy_run_info(
                    self.database, self.datasheet, timestamp, "卖出止损", price,
                    amount, price * amount * self.contract_value, 0, "none", 0,
                    profit, self.total_profit, self.total_asset)
            if self.position.direction() == "short" and self.market.high(
                    -1, kline=kline) > middleband and self.counter < 1:
                profit = self.position.covershort_profit(last=middleband)
                self.total_profit += profit
                self.total_asset += profit
                price = middleband
                amount = self.position.amount()
                info = self.exchange.buytocover(price, amount)
                push(info)
                self.counter += 1
                storage.mysql_save_strategy_run_info(
                    self.database, self.datasheet, timestamp, "买入止损", price,
                    amount, amount * price * self.contract_value, 0, "none", 0,
                    profit, self.total_profit, self.total_asset)
            # 平多
            if self.position.direction(
            ) == "long" and upperband > ma > self.market.low(
                    -1, kline=kline) and self.counter < 1:
                profit = self.position.coverlong_profit(last=ma)
                self.total_profit += profit
                self.total_asset += profit
                price = ma  # 平仓价格为自适应出场均线的值
                amount = self.position.amount()
                info = self.exchange.sell(price, amount)
                push(info)
                self.counter += 1
                storage.mysql_save_strategy_run_info(
                    self.database, self.datasheet, timestamp, "卖出平多", price,
                    amount, price * amount * self.contract_value, 0, "none", 0,
                    profit, self.total_profit, self.total_asset)
            # 平空
            if self.position.direction(
            ) == "short" and lowerband < ma < self.market.high(
                    -1, kline=kline) and self.counter < 1:
                profit = self.position.covershort_profit(last=ma)
                self.total_profit += profit
                self.total_asset += profit
                price = ma
                amount = self.position.amount()
                info = self.exchange.buytocover(price, amount)
                push(info)
                self.counter += 1
                storage.mysql_save_strategy_run_info(
                    self.database, self.datasheet, timestamp, "买入平空", price,
                    amount, amount * price * self.contract_value, 0, "none", 0,
                    profit, self.total_profit, self.total_asset)
        except:
            logger.error()
Ejemplo n.º 5
0
 def begin_trade(self, kline=None):  # 实盘时从交易所实时获取k线数据,回测时传入自定义的kline
     try:
         # 如果k线数据不够长就返回
         if self.indicators.CurrentBar(kline=kline) < self.fsLength:
             return
         # 非回测模式下时间戳就是当前本地时间
         timestamp = ts_to_datetime_str(utctime_str_to_ts(kline[-1][0])) if kline else get_localtime()
         # k线更新时计数器归零
         if self.indicators.BarUpdate(kline=kline):
             self.counter = 0
         AvgTR = self.indicators.ATR(self.ATRLength, kline=kline)     # 计算真实波幅
         N = float(AvgTR[-2])   # N值为前一根bar上的ATR值,需将numpy.float64数据类型转换为float类型,下面的转换同理
         Units = int(self.total_asset / self.contract_value / 5)    # 每一份头寸大小为总资金的20%
         """计算短周期唐奇安通道"""
         # 唐奇安通道上轨,延后1个Bar
         DonchianHi = float(self.indicators.HIGHEST(self.boLength, kline=kline)[-2])
         # 唐奇安通道下轨,延后1个Bar
         DonchianLo = float(self.indicators.LOWEST(self.boLength, kline=kline)[-2])
         """计算长周期唐奇安通道"""
         # 唐奇安通道上轨,延后1个Bar,长周期
         fsDonchianHi = float(self.indicators.HIGHEST(self.fsLength, kline=kline)[-2])
         # 唐奇安通道下轨,延后1个Bar,长周期
         fsDonchianLo = float(self.indicators.LOWEST(self.fsLength, kline=kline)[-2])
         """计算止盈唐奇安通道"""
         # 离市时判断需要的N周期最低价
         ExitLowestPrice = float(self.indicators.LOWEST(self.teLength, kline=kline)[-2])
         # 离市时判断需要的N周期最高价
         ExitHighestPrice = float(self.indicators.HIGHEST(self.teLength, kline=kline)[-2])
         # 当不使用过滤条件,或者使用过滤条件且条件PreBreakoutFailure为True时,短周期开仓
         if self.indicators.CurrentBar(kline=kline) >= self.boLength and self.position.amount() == 0 and (self.LastProfitableTradeFilter != 1 or self.PreBreakoutFailure == False) and self.counter < 1:
             if self.market.high(-1, kline=kline) >= DonchianHi:  # 突破了短周期唐奇安通道上轨
                 price = DonchianHi  # 开多价格为短周期唐奇安通道上轨
                 amount = Units  # 开多数量为Units
                 receipt = self.exchange.buy(price, amount)  # 开多
                 push(receipt)   # 推送下单结果
                 self.CurrentEntries += 1    # 记录一次开仓次数
                 self.PreBreakoutFailure = False  # 将标识重置为默认值,根据离场时的盈亏情况再修改
                 storage.mysql_save_strategy_run_info(self.database, self.datasheet, timestamp, "买入开多",
                                                      price, amount, amount * self.contract_value, price,
                                                      "long", amount, 0, self.total_profit,
                                                      self.total_asset)  # 将信息保存至数据库
                 self.counter += 1   # 计数器加1
             if self.market.low(-1, kline=kline) <= DonchianLo: # 突破了短周期唐奇安通道下轨
                 price = DonchianLo  # 开空价格为DonchianLo
                 amount = Units  # 开空数量为Units
                 receipt = self.exchange.sellshort(price, amount)    # 开空
                 push(receipt)   # 推送下单结果
                 self.CurrentEntries += 1    # 记录一次开仓次数
                 self.PreBreakoutFailure = False     # 将标识重置为默认值,根据离场时的盈亏情况再修改
                 storage.mysql_save_strategy_run_info(self.database, self.datasheet, timestamp, "卖出开空",
                                                      price, amount, amount * self.contract_value, price,
                                                      "short", amount, 0, self.total_profit, self.total_asset)   # 保存信息至数据库
                 self.counter += 1   # 计数器加1
         # 长周期突破开仓,其他逻辑和短周期突破开仓一样。
         if self.indicators.CurrentBar(kline=kline) >= self.fsLength and self.position.amount() == 0 and self.counter < 1:
             if self.market.high(-1, kline=kline) >= fsDonchianHi:   # 突破了长周期唐奇安通道上轨
                 price = fsDonchianHi    # 开多价格为长周期唐奇安通道上轨值
                 amount = Units  # 数量为Units
                 receipt = self.exchange.buy(price, amount)  # 下单并返回下单结果
                 push(receipt)   # 推送下单结果
                 self.CurrentEntries += 1    # 记录一次开仓次数
                 self.PreBreakoutFailure = False     # 将标识重置为默认值
                 storage.mysql_save_strategy_run_info(self.database, self.datasheet, timestamp, "买入开多",
                                                      price, amount, amount * self.contract_value, price,
                                                      "long", amount, 0, self.total_profit,
                                                      self.total_asset)  # 将信息保存至数据库
                 self.counter += 1   # 计数器加1
             if self.market.low(-1, kline=kline) <= fsDonchianLo:    # 突破长周期唐奇安通道下轨
                 price = fsDonchianLo    # 开空价格为长周期唐奇安通道下轨值
                 amount = Units  # 开空数量为Units
                 receipt = self.exchange.sellshort(price, amount)    # 下单并返回下单结果
                 push(receipt)  # 推送下单结果
                 self.CurrentEntries += 1  # 记录一次开仓次数
                 self.PreBreakoutFailure = False   # 将标识重置为默认值
                 storage.mysql_save_strategy_run_info(self.database, self.datasheet, timestamp, "卖出开空",
                                                      price, amount, amount * self.contract_value, price,
                                                      "short", amount, 0, self.total_profit, self.total_asset)
                 self.counter += 1   # 计数器加1
         # 止盈、加仓和止损
         if self.position.direction() == "long" and self.counter < 1:     # 持多仓的情况。回测时是一根k线上整个策略从上至下运行一次,所以在此处设置计数器过滤
             if self.market.low(-1, kline=kline) <= ExitLowestPrice:    # 跌破止盈价
                 profit = self.position.coverlong_profit(last=ExitLowestPrice, market_type="usd_contract")   # 平仓前计算利润,传入最新价以及计算盈利的合约类型
                 self.total_profit += profit  # 计算经过本次盈亏后的总利润
                 self.total_asset += profit  # 计算经过本次盈亏后的总资金
                 price = ExitLowestPrice     # 平多价格为ExitLowestPrice
                 amount = self.position.amount()     # 数量为当前持仓数量
                 receipt = self.exchange.sell(price, amount)    # 平所有多单仓位
                 push(receipt)   # 推送下单结果
                 storage.mysql_save_strategy_run_info(self.database, self.datasheet, timestamp, "卖出平多",
                                                      price, amount, amount * self.contract_value,
                                                      0, "none", 0, profit, self.total_profit, self.total_asset)
                 self.counter += 1   # 计数器加1
                 self.CurrentEntries = 0   # 平仓后将开仓次数还原为0
             else:
                 # 加仓指令
                 '''以最高价为标准,判断是否能加仓,并限制最大加仓次数
                    如果价格过前次开仓价格1/2N,则直接加仓
                 '''
                 while self.market.high(-1, kline=kline) >= (self.position.price() + 0.5 * N) and (self.CurrentEntries <= 4):
                     price = self.position.price() + 0.5 * N     # 加仓的开仓价格为持仓价格+0.5 * N
                     amount = Units  # 数量为Units
                     storage.mysql_save_strategy_run_info(self.database, self.datasheet, timestamp, "多头加仓",
                                                          price, amount, amount * self.contract_value,
                                                          (self.position.price() + price) / 2,
                                                          "long", self.position.amount() + amount,
                                                          0, self.total_profit, self.total_asset)
                     receipt = self.exchange.buy(price, amount)
                     push(receipt)
                     self.CurrentEntries += 1
                 # 止损指令
                 if self.market.low(-1, kline=kline) <= (self.position.price() - 2 * N):   # 如果回落大于最后下单价格-2n,就止损
                     profit = self.position.coverlong_profit(last=self.position.price() - 2 * N, market_type="usd_contract")
                     self.total_profit += profit  # 计算经过本次盈亏后的总利润
                     self.total_asset += profit  # 计算经过本次盈亏后的总资金
                     price = self.position.price() - 2 * N
                     amount = self.position.amount()
                     receipt = self.exchange.sell(price, amount)  # 全部止损平仓
                     push(receipt)
                     self.PreBreakoutFailure = True  # 记录为突破失败,下次交易将使用长周期开仓
                     storage.mysql_save_strategy_run_info(self.database, self.datasheet, timestamp, "卖出止损",
                                                          price, amount, amount * self.contract_value,
                                                          0, "none", 0, profit, self.total_profit, self.total_asset)
                     self.counter += 1
                     self.CurrentEntries = 0  # 平仓后将开仓次数还原为0
         elif self.position.direction() == "short" and self.counter < 1: # 持空头的情况,除方向以外,其他逻辑和上面持多仓的一致
             if self.market.high(-1, kline=kline) >= ExitHighestPrice:
                 profit = self.position.covershort_profit(last=ExitHighestPrice, market_type="usd_contract")
                 self.total_profit += profit
                 self.total_asset += profit
                 price = ExitHighestPrice
                 amount = self.position.amount()
                 receipt = self.exchange.buytocover(price, amount)
                 push(receipt)
                 storage.mysql_save_strategy_run_info(self.database, self.datasheet, timestamp,
                                                      "买入平空", price, amount, amount * self.contract_value,
                                                      0, "none", 0, profit, self.total_profit, self.total_asset)
                 self.counter += 1
                 self.CurrentEntries = 0  # 平仓后将开仓次数还原为0
             else:
                 while self.market.low(-1, kline=kline) <= (self.position.price() - 0.5 * N) and (self.CurrentEntries <= 4):
                     price = self.position.price() - 0.5 * N
                     amount = Units
                     storage.mysql_save_strategy_run_info(self.database, self.datasheet, timestamp, "空头加仓",
                                                          price, amount, amount * self.contract_value,
                                                          (self.position.price() + price) / 2,
                                                          "short", self.position.amount() + amount,
                                                          0, self.total_profit, self.total_asset)
                     receipt = self.exchange.sellshort(self.position.price() - 0.5 * N, Units)
                     push(receipt)
                     self.CurrentEntries += 1
                 if self.market.high(-1, kline=kline) >= (self.position.price() + 2 * N):
                     profit = self.position.covershort_profit(last=self.position.price() + 2 * N, market_type="usd_contract")
                     self.total_profit += profit
                     self.total_asset += profit
                     price = self.position.price() + 2 * N
                     amount = self.position.amount()
                     receipt = self.exchange.buytocover(price, amount)
                     push(receipt)
                     self.PreBreakoutFailure = True
                     storage.mysql_save_strategy_run_info(self.database, self.datasheet, timestamp,
                                                          "买入止损", price, amount, amount * self.contract_value,
                                                          0, "none", 0, profit, self.total_profit, self.total_asset)
                     self.counter += 1
                     self.CurrentEntries = 0  # 平仓后将开仓次数还原为0
     except:
         logger.error()