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奥运会组委会命令

原文: https://www.backtrader.com/docu/order-creation-execution/oco/oco/

发布版1.9.34.116OCO(又名一个取消其他添加到回溯测试库中。

笔记

这只在回溯测试中实现,还没有针对实时代理的实现

笔记

更新版本为1.9.36.116。交互代理对StopTrailStopTrailLimitOCO的支持。

  • OCO始终指定组中的 1st顺序作为参数oco

  • StopTrailLimit:经纪人模拟和IB经纪人具有 asme 行为。指定:price为初始停止触发价(同时指定trailamount),然后指定plimi为初始限价。两者之间的差异将决定limitoffset(限制价格与停止触发价格之间的距离)

使用模式试图保持用户友好。因此,如果策略中的逻辑已经决定是发布订单的时候,那么可以这样使用OCO

def next(self):
    ...
    o1 = self.buy(...)
    ...
    o2 = self.buy(..., oco=o1)
    ...
    o3 = self.buy(..., oco=o1)  # or even oco=o2, o2 is already in o1 group 

容易的第 1命令o1将有点像组长。o2o3通过使用oco命名参数指定o1而成为OCO 组的一部分。请注意,代码段中的注释表明,o3也可以通过指定o2(已经是组的一部分)成为组的一部分

组建团队后,将发生以下情况:

  • 如果组中的任何订单被执行、取消或过期,其他订单将被取消

下面的示例说明了OCO的概念。带有绘图的标准执行:

$ ./oco.py --broker cash=50000 --plot 

笔记

现金增加至50000,因为资产达到4000的价值,1项目的 3 个订单至少需要12000货币单位(经纪人默认为10000

用下面的图表。

!image

这实际上并没有提供太多的信息(这是一个标准的SMA Crossover策略)。该示例执行以下操作:

  • 当快速SMA越过慢速SMA向上时,发出 3 个指令

  • order1Limit订单,将在limdays天后到期(策略参数),以close价格降低一个百分比作为限价

  • order2是一个Limit订单,有效期更长,限价更低。

  • order3是进一步降低限价的Limit订单

因此,不会执行order2order3,因为:

  • order1将首先执行,这将触发其他的取消

  • order1将到期,这将触发其他的取消

系统保留 3 张订单的ref标识,仅当notify_order中的三张ref标识为CompletedCancelledMarginExpired时,系统才会发出新的buy订单

退出只需在保持某些杆的位置后进行。

为了尝试跟踪实际执行,将生成文本输出。其中一些:

2005-01-28: Oref 1 / Buy at 2941.11055
2005-01-28: Oref 2 / Buy at 2896.7722
2005-01-28: Oref 3 / Buy at 2822.87495
2005-01-31: Order ref: 1 / Type Buy / Status Submitted
2005-01-31: Order ref: 2 / Type Buy / Status Submitted
2005-01-31: Order ref: 3 / Type Buy / Status Submitted
2005-01-31: Order ref: 1 / Type Buy / Status Accepted
2005-01-31: Order ref: 2 / Type Buy / Status Accepted
2005-01-31: Order ref: 3 / Type Buy / Status Accepted
2005-02-01: Order ref: 1 / Type Buy / Status Expired
2005-02-01: Order ref: 3 / Type Buy / Status Canceled
2005-02-01: Order ref: 2 / Type Buy / Status Canceled
...
2006-06-23: Oref 49 / Buy at 3532.39925
2006-06-23: Oref 50 / Buy at 3479.147
2006-06-23: Oref 51 / Buy at 3390.39325
2006-06-26: Order ref: 49 / Type Buy / Status Submitted
2006-06-26: Order ref: 50 / Type Buy / Status Submitted
2006-06-26: Order ref: 51 / Type Buy / Status Submitted
2006-06-26: Order ref: 49 / Type Buy / Status Accepted
2006-06-26: Order ref: 50 / Type Buy / Status Accepted
2006-06-26: Order ref: 51 / Type Buy / Status Accepted
2006-06-26: Order ref: 49 / Type Buy / Status Completed
2006-06-26: Order ref: 51 / Type Buy / Status Canceled
2006-06-26: Order ref: 50 / Type Buy / Status Canceled
...
2006-11-10: Order ref: 61 / Type Buy / Status Canceled
2006-12-11: Oref 63 / Buy at 4032.62555
2006-12-11: Oref 64 / Buy at 3971.8322
2006-12-11: Oref 65 / Buy at 3870.50995
2006-12-12: Order ref: 63 / Type Buy / Status Submitted
2006-12-12: Order ref: 64 / Type Buy / Status Submitted
2006-12-12: Order ref: 65 / Type Buy / Status Submitted
2006-12-12: Order ref: 63 / Type Buy / Status Accepted
2006-12-12: Order ref: 64 / Type Buy / Status Accepted
2006-12-12: Order ref: 65 / Type Buy / Status Accepted
2006-12-15: Order ref: 63 / Type Buy / Status Expired
2006-12-15: Order ref: 65 / Type Buy / Status Canceled
2006-12-15: Order ref: 64 / Type Buy / Status Canceled 

发生以下情况:

  • 第 1st批订单发出。订单 1 过期,订单 2 和订单 3 被取消。正如所料。

  • 几个月后,又发出了一批 3 份订单。在这种情况下,49 号订单得到Completed,50 号和 51 号订单立即取消

  • 最后一批就像 1st一样

现在让我们检查一下没有OCO的行为:

$ ./oco.py --strat do_oco=False --broker cash=50000

2005-01-28: Oref 1 / Buy at 2941.11055
2005-01-28: Oref 2 / Buy at 2896.7722
2005-01-28: Oref 3 / Buy at 2822.87495
2005-01-31: Order ref: 1 / Type Buy / Status Submitted
2005-01-31: Order ref: 2 / Type Buy / Status Submitted
2005-01-31: Order ref: 3 / Type Buy / Status Submitted
2005-01-31: Order ref: 1 / Type Buy / Status Accepted
2005-01-31: Order ref: 2 / Type Buy / Status Accepted
2005-01-31: Order ref: 3 / Type Buy / Status Accepted
2005-02-01: Order ref: 1 / Type Buy / Status Expired 

就这样,这并不多(没有订单执行,也不太需要图表)

  • 该批订单已发出

  • 订单 1 过期,但由于策略已获得参数do_oco=False,订单 2 和订单 3 不属于OCO

  • 因此,订单 2 和订单 3 不会被取消,因为默认的到期时间差为1000天后,它们不会因样本的可用数据(2 年的数据)而到期

  • 系统从不发出第 2批订单。

样本使用

$ ./oco.py --help
usage: oco.py [-h] [--data0 DATA0] [--fromdate FROMDATE] [--todate TODATE]
              [--cerebro kwargs] [--broker kwargs] [--sizer kwargs]
              [--strat kwargs] [--plot [kwargs]]

Sample Skeleton

optional arguments:
  -h, --help           show this help message and exit
  --data0 DATA0        Data to read in (default:
                       ../../datas/2005-2006-day-001.txt)
  --fromdate FROMDATE  Date[time] in YYYY-MM-DD[THH:MM:SS] format (default: )
  --todate TODATE      Date[time] in YYYY-MM-DD[THH:MM:SS] format (default: )
  --cerebro kwargs     kwargs in key=value format (default: )
  --broker kwargs      kwargs in key=value format (default: )
  --sizer kwargs       kwargs in key=value format (default: )
  --strat kwargs       kwargs in key=value format (default: )
  --plot [kwargs]      kwargs in key=value format (default: ) 

示例代码

from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

import argparse
import datetime

import backtrader as bt

class St(bt.Strategy):
    params = dict(
        ma=bt.ind.SMA,
        p1=5,
        p2=15,
        limit=0.005,
        limdays=3,
        limdays2=1000,
        hold=10,
        switchp1p2=False,  # switch prices of order1 and order2
        oco1oco2=False,  # False - use order1 as oco for order3, else order2
        do_oco=True,  # use oco or not
    )

    def notify_order(self, order):
        print('{}: Order ref: {} / Type {} / Status {}'.format(
            self.data.datetime.date(0),
            order.ref, 'Buy' * order.isbuy() or 'Sell',
            order.getstatusname()))

        if order.status == order.Completed:
            self.holdstart = len(self)

        if not order.alive() and order.ref in self.orefs:
            self.orefs.remove(order.ref)

    def __init__(self):
        ma1, ma2 = self.p.ma(period=self.p.p1), self.p.ma(period=self.p.p2)
        self.cross = bt.ind.CrossOver(ma1, ma2)

        self.orefs = list()

    def next(self):
        if self.orefs:
            return  # pending orders do nothing

        if not self.position:
            if self.cross > 0.0:  # crossing up

                p1 = self.data.close[0] * (1.0 - self.p.limit)
                p2 = self.data.close[0] * (1.0 - 2 * 2 * self.p.limit)
                p3 = self.data.close[0] * (1.0 - 3 * 3 * self.p.limit)

                if self.p.switchp1p2:
                    p1, p2 = p2, p1

                o1 = self.buy(exectype=bt.Order.Limit, price=p1,
                              valid=datetime.timedelta(self.p.limdays))

                print('{}: Oref {} / Buy at {}'.format(
                    self.datetime.date(), o1.ref, p1))

                oco2 = o1 if self.p.do_oco else None
                o2 = self.buy(exectype=bt.Order.Limit, price=p2,
                              valid=datetime.timedelta(self.p.limdays2),
                              oco=oco2)

                print('{}: Oref {} / Buy at {}'.format(
                    self.datetime.date(), o2.ref, p2))

                if self.p.do_oco:
                    oco3 = o1 if not self.p.oco1oco2 else oco2
                else:
                    oco3 = None

                o3 = self.buy(exectype=bt.Order.Limit, price=p3,
                              valid=datetime.timedelta(self.p.limdays2),
                              oco=oco3)

                print('{}: Oref {} / Buy at {}'.format(
                    self.datetime.date(), o3.ref, p3))

                self.orefs = [o1.ref, o2.ref, o3.ref]

        else:  # in the market
            if (len(self) - self.holdstart) >= self.p.hold:
                self.close()

def runstrat(args=None):
    args = parse_args(args)

    cerebro = bt.Cerebro()

    # Data feed kwargs
    kwargs = dict()

    # Parse from/to-date
    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'
    for a, d in ((getattr(args, x), x) for x in ['fromdate', 'todate']):
        if a:
            strpfmt = dtfmt + tmfmt * ('T' in a)
            kwargs[d] = datetime.datetime.strptime(a, strpfmt)

    # Data feed
    data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **kwargs)
    cerebro.adddata(data0)

    # Broker
    cerebro.broker = bt.brokers.BackBroker(**eval('dict(' + args.broker + ')'))

    # Sizer
    cerebro.addsizer(bt.sizers.FixedSize, **eval('dict(' + args.sizer + ')'))

    # Strategy
    cerebro.addstrategy(St, **eval('dict(' + args.strat + ')'))

    # Execute
    cerebro.run(**eval('dict(' + args.cerebro + ')'))

    if args.plot:  # Plot if requested to
        cerebro.plot(**eval('dict(' + args.plot + ')'))

def parse_args(pargs=None):
    parser = argparse.ArgumentParser(
        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
        description=(
            'Sample Skeleton'
        )
    )

    parser.add_argument('--data0', default='../../datas/2005-2006-day-001.txt',
                        required=False, help='Data to read in')

    # Defaults for dates
    parser.add_argument('--fromdate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--todate', required=False, default='',
                        help='Date[time] in YYYY-MM-DD[THH:MM:SS] format')

    parser.add_argument('--cerebro', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--broker', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--sizer', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--strat', required=False, default='',
                        metavar='kwargs', help='kwargs in key=value format')

    parser.add_argument('--plot', required=False, default='',
                        nargs='?', const='{}',
                        metavar='kwargs', help='kwargs in key=value format')

    return parser.parse_args(pargs)

if __name__ == '__main__':
    runstrat() 

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