Release1.9.34.116 将 OCO (又名One Cancel Others)添加到回溯测试武器库中。
注意
这仅在回溯测试中实现,并且还没有针对即时代理的实现
注意
随版本1.9.36.116更新。盈透证券支持 StopTrail和 StopTrailLimit OCO。
-  
OCO始终将组中的第 1个顺序指定为参数oco -  
StopTrailLimit:代理模拟和IB代理具有 asme 行为。指定:price作为初始止损触发价格(另指定trailamount),然后plimi指定为初始限价。两者之间的差额将决定limitoffset(限价与止损触发价格保持的距离) 
使用模式尝试保持用户友好。因此,如果策略中的逻辑已经决定是时候下达订单了,则可以像这样使用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。第 1个顺序o1将类似于组长, o2 o3并通过o1指定命名参数成为 OCO 组的一oco部分。查看代码段中的注释指示o3也可以通过指定o2(已经是组的一部分)成为组的一部分
随着小组的形成,将发生以下情况:
- 如果组内任何订单被运行、取消或到期,其他订单将被取消
 
下面的示例将这个OCO 概念付诸实践。带有绘图的标准运行:
$ ./oco.py --broker cash=50000 --plot
注意
现金增加到50000,因为资产达到价值 4000 和3个订单 1 的项目将需要至少 12000 货币单位(经纪人的默认值是 10000)
如下图所示。
这实际上没有提供太多信息(这是一种标准SMA Crossover 策略)。该范例运行以下操作:
-  
当快速 SMA 穿过慢速 SMA 向上行时,发出 3 个订单
 -  
order1是一个Limit订单,它将在天(策略的参数)内limdays到期,close价格减去一个百分比作为限价 -  
order2是到期Limit期限更长且限价降低得多的订单。 -  
order3是进一Limit步降低限价的订单 
因此,运行order2 和 order3 不会发生,因为:
order1将首先运行,这应该触发其他的取消
或
order1将过期,这将触发其他取消
系统保留ref 3 个订单的识别码,并且仅当buy这三ref个Completed标识码被视为 notify_order 、 、 或 CancelledMarginExpired
退出是在持有某些柱的仓位后完成的。
为了尝试跟踪实际运行,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1批 订单发出。订单 1 过期,2 和 3 被取消。不出所料。
 -  
几个月后,又发出了一批3个订单。在这种情况下,订单49得到,
Completed50和51立即取消 -  
last批就像1st一样
 
现在让我们检查一下没有OCO:
$ ./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
就是这样,这并不多(没有订单运行,也不需要太多的图表)
-  
发出一批订单
 -  
订单 1 过期,但由于策略已获取参数
do_oco=False,因此订单 2 和 3 不会成为组的OCO一部分 -  
因此,订单 2 和 3 不会被取消,并且由于缺省的到期增量是
1000几天后,因此它们永远不会随着样本的可用数据(2 年的数据)而过期 -  
系统从不发出第2 浴的订单。
 
示例用法
$ ./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()