Ticket #108中提出了投资组合工具pyfolio
的集成。
鉴于zipline
和pyfolio
之间的紧密集成,第一次看本教程认为它很困难,但是pyfolio
可用于其他一些用途的示例测试数据实际上对于解码幕后运行的内容非常有用,因此是集成的奇迹。
大多数部分已经在backtrader中就位:
分析器基础设施
儿童分析仪
TimeReturn 分析器
只需要一个主PyFolio
分析器和 3 个简易子分析器。加上一种依赖于pyfolio
已经需要的依赖项之一的方法,即pandas
。
最具挑战性的部分……“正确处理所有依赖项”。
pandas
更新numpy
的更新scikit-lean
的更新seaborn
的更新
在带有 C 编译器的类 Unix 环境下,一切都差不多了。在 Windows 下,甚至安装了特定的 Microsoft 编译器(在本例中是 Python 2.7 的链),事情都失败了。但是,一个拥有 Windows 最新软件包集合的知名站点提供了帮助。如果您需要,请访问它:
如果没有经过测试,集成将不完整,这就是为什么通常的样本始终存在的原因。
没有 PyFolio
该示例使用random.randint
来决定何时购买/出售,所以这只是检查事情是否正常:
$ ./pyfoliotest.py --printout --no-pyfolio --plot
输出:
Len,Datetime,Open,High,Low,Close,Volume,OpenInterest 0001,2005-01-03T23:59:59,38.36,38.90,37.65,38.18,25482800.00,0.00 BUY 1000 @%23.58 0002,2005-01-04T23:59:59,38.45,38.54,36.46,36.58,26625300.00,0.00 BUY 1000 @%36.58 SELL 500 @%22.47 0003,2005-01-05T23:59:59,36.69,36.98,36.06,36.13,18469100.00,0.00 ... SELL 500 @%37.51 0502,2006-12-28T23:59:59,25.62,25.72,25.30,25.36,11908400.00,0.00 0503,2006-12-29T23:59:59,25.42,25.82,25.33,25.54,16297800.00,0.00 SELL 250 @%17.14 SELL 250 @%37.01
在测试运行的 2 年默认寿命期间,随机选择并分散了 3 个数据和几个买卖操作
PyFolio 运行
pyfolio
在 Jupyter Notebook 中运行时运行良好,包括内联绘图。这是笔记本
笔记
runstrat
在这里 [] 作为参数以使用默认参数运行并跳过笔记本本身传递的参数
%matplotlib inline
from __future__ import (absolute_import, division, print_function, unicode_literals) import argparse import datetime import random import backtrader as bt class St(bt.Strategy): params = ( ('printout', False), ('stake', 1000), ) def __init__(self): pass def start(self): if self.p.printout: txtfields = list() txtfields.append('Len') txtfields.append('Datetime') txtfields.append('Open') txtfields.append('High') txtfields.append('Low') txtfields.append('Close') txtfields.append('Volume') txtfields.append('OpenInterest') print(','.join(txtfields)) def next(self): if self.p.printout: # Print only 1st data ... is just a check that things are running txtfields = list() txtfields.append('%04d' % len(self)) txtfields.append(self.data.datetime.datetime(0).isoformat()) txtfields.append('%.2f' % self.data0.open[0]) txtfields.append('%.2f' % self.data0.high[0]) txtfields.append('%.2f' % self.data0.low[0]) txtfields.append('%.2f' % self.data0.close[0]) txtfields.append('%.2f' % self.data0.volume[0]) txtfields.append('%.2f' % self.data0.openinterest[0]) print(','.join(txtfields)) # Data 0 for data in self.datas: toss = random.randint(1, 10) curpos = self.getposition(data) if curpos.size: if toss > 5: size = curpos.size // 2 self.sell(data=data, size=size) if self.p.printout: print('SELL {} @%{}'.format(size, data.close[0])) elif toss < 5: self.buy(data=data, size=self.p.stake) if self.p.printout: print('BUY {} @%{}'.format(self.p.stake, data.close[0])) def runstrat(args=None): args = parse_args(args) cerebro = bt.Cerebro() cerebro.broker.set_cash(args.cash) dkwargs = dict() if args.fromdate: fromdate = datetime.datetime.strptime(args.fromdate, '%Y-%m-%d') dkwargs['fromdate'] = fromdate if args.todate: todate = datetime.datetime.strptime(args.todate, '%Y-%m-%d') dkwargs['todate'] = todate data0 = bt.feeds.BacktraderCSVData(dataname=args.data0, **dkwargs) cerebro.adddata(data0, name='Data0') data1 = bt.feeds.BacktraderCSVData(dataname=args.data1, **dkwargs) cerebro.adddata(data1, name='Data1') data2 = bt.feeds.BacktraderCSVData(dataname=args.data2, **dkwargs) cerebro.adddata(data2, name='Data2') cerebro.addstrategy(St, printout=args.printout) if not args.no_pyfolio: cerebro.addanalyzer(bt.analyzers.PyFolio, _name='pyfolio') results = cerebro.run() if not args.no_pyfolio: strat = results[0] pyfoliozer = strat.analyzers.getbyname('pyfolio') returns, positions, transactions, gross_lev = pyfoliozer.get_pf_items() if args.printout: print('-- RETURNS') print(returns) print('-- POSITIONS') print(positions) print('-- TRANSACTIONS') print(transactions) print('-- GROSS LEVERAGE') print(gross_lev) import pyfolio as pf pf.create_full_tear_sheet( returns, positions=positions, transactions=transactions, gross_lev=gross_lev, live_start_date='2005-05-01', round_trips=True) if args.plot: cerebro.plot(style=args.plot_style) def parse_args(args=None): parser = argparse.ArgumentParser( formatter_class=argparse.ArgumentDefaultsHelpFormatter, description='Sample for pivot point and cross plotting') parser.add_argument('--data0', required=False, default='../../datas/yhoo-1996-2015.txt', help='Data to be read in') parser.add_argument('--data1', required=False, default='../../datas/orcl-1995-2014.txt', help='Data to be read in') parser.add_argument('--data2', required=False, default='../../datas/nvda-1999-2014.txt', help='Data to be read in') parser.add_argument('--fromdate', required=False, default='2005-01-01', help='Starting date in YYYY-MM-DD format') parser.add_argument('--todate', required=False, default='2006-12-31', help='Ending date in YYYY-MM-DD format') parser.add_argument('--printout', required=False, action='store_true', help=('Print data lines')) parser.add_argument('--cash', required=False, action='store', type=float, default=50000, help=('Cash to start with')) parser.add_argument('--plot', required=False, action='store_true', help=('Plot the result')) parser.add_argument('--plot-style', required=False, action='store', default='bar', choices=['bar', 'candle', 'line'], help=('Plot style')) parser.add_argument('--no-pyfolio', required=False, action='store_true', help=('Do not do pyfolio things')) import sys aargs = args if args is not None else sys.argv[1:] return parser.parse_args(aargs)
runstrat([])
Entire data start date: 2005-01-03 Entire data end date: 2006-12-29 Out-of-Sample Months: 20 Backtest Months: 3
[-0.012 -0.025]
pyfolioplotting.py:1210: FutureWarning: .resample() is now a deferred operation use .resample(...).mean() instead of .resample(...) **kwargs)
<matplotlib.figure.Figure at 0x23982b70>
样品用途:
$ ./pyfoliotest.py --help usage: pyfoliotest.py [-h] [--data0 DATA0] [--data1 DATA1] [--data2 DATA2] [--fromdate FROMDATE] [--todate TODATE] [--printout] [--cash CASH] [--plot] [--plot-style {bar,candle,line}] [--no-pyfolio] Sample for pivot point and cross plotting optional arguments: -h, --help show this help message and exit --data0 DATA0 Data to be read in (default: ../../datas/yhoo-1996-2015.txt) --data1 DATA1 Data to be read in (default: ../../datas/orcl-1995-2014.txt) --data2 DATA2 Data to be read in (default: ../../datas/nvda-1999-2014.txt) --fromdate FROMDATE Starting date in YYYY-MM-DD format (default: 2005-01-01) --todate TODATE Ending date in YYYY-MM-DD format (default: 2006-12-31) --printout Print data lines (default: False) --cash CASH Cash to start with (default: 50000) --plot Plot the result (default: False) --plot-style {bar,candle,line} Plot style (default: bar) --no-pyfolio Do not do pyfolio things (default: False)