mementum

    def __init__(self):
        self.donchian = DonchianChannels()

    def next(self):
        if self.data[0] > self.donchian.dch[0]:
            self.sell()
        elif self.data[0] < self.donchian.dcl[0]:
            self.buy()

mementum

    def __init__(self):
        self.donchian = DonchianChannels()

    def next(self):
        if self.data[0] > self.donchian.dch[-1]:
            self.sell()
        elif self.data[0] < self.donchian.dcl[-1]:
            self.buy()

mementum

if price0 > channel_high_1:
    sell()
elif price0 < channel_low_1:
    buy()

mementum

class DonchianChannels(bt.Indicator):
    '''
    Params Note:
      - ``lookback`` (default: -1)

        If `-1`, the bars to consider will start 1 bar in the past and the
        current high/low may break through the channel.

        If `0`, the current prices will be considered for the Donchian
        Channel. This means that the price will **NEVER** break through the

mementum

$ ./fractional-sizes.py --fractional --plot
2005-02-14,3079.93,3083.38,3065.27,3075.76,0.00
2005-02-15,3075.20,3091.64,3071.08,3086.95,0.00
...
2005-03-21,3052.39,3059.18,3037.80,3038.14,0.00
2005-03-21,Enter Short
2005-03-22,Sell Order Completed - Size: -16.457437774427774 @Price: 3040.55 Value: -50039.66 Comm: 0.00
2005-03-22,Trade Opened  - Size -16.457437774427774 @Price 3040.55
2005-03-22,3040.55,3053.18,3021.66,3050.44,0.00
...

mementum

$ ./fractional-sizes.py --plot
2005-02-14,3079.93,3083.38,3065.27,3075.76,0.00
2005-02-15,3075.20,3091.64,3071.08,3086.95,0.00
...
2005-03-21,3052.39,3059.18,3037.80,3038.14,0.00
2005-03-21,Enter Short
2005-03-22,Sell Order Completed - Size: -16 @Price: 3040.55 Value: -48648.80 Comm: 0.00
2005-03-22,Trade Opened  - Size -16 @Price 3040.55
2005-03-22,3040.55,3053.18,3021.66,3050.44,0.00
...

mementum

#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
# Copyright (C) 2019 Daniel Rodriguez - MIT License
#  - https://opensource.org/licenses/MIT
#  - https://en.wikipedia.org/wiki/MIT_License
###############################################################################
import argparse
import logging
import sys

mementum

#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
# Copyright (C) 2019 Daniel Rodriguez - MIT License
#  - https://opensource.org/licenses/MIT
#  - https://en.wikipedia.org/wiki/MIT_License
###############################################################################
import argparse
import random

mementum

import argparse
import datetime
import glob
import os.path

import backtrader as bt


class NetPayOutData(bt.feeds.GenericCSVData):
    lines = ('npy',)  # add a line containing the net payout yield

mementum

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

    cerebro = bt.Cerebro()

    # Data feed kwargs
    dkwargs = dict(**eval('dict(' + args.dargs + ')'))

    # Parse from/to-date
    dtfmt, tmfmt = '%Y-%m-%d', 'T%H:%M:%S'