def parse_args():
parser = argparse.ArgumentParser(description='Process command parameters.')
common_samples.add_main_arguments(parser)
common_samples.add_direction_rate_lots_arguments(parser,
direction=False,
rate=False)
common_samples.add_account_arguments(parser)
common_samples.add_instrument_timeframe_arguments(parser)
common_samples.add_date_arguments(parser, date_to=False)
parser.add_argument('-nextbars',
metavar="NEXTBARS",
default=5,
type=int,
help='Number of prediction bars')
def check_positive(value):
i_value = int(value)
if i_value <= 0:
raise argparse.ArgumentTypeError(
"%s is an invalid positive int value" % value)
return i_value
args = parser.parse_args()
# specific arguments
return args
def parse_args():
parser = argparse.ArgumentParser(description='Process command parameters.')
common_samples.add_main_arguments(parser)
common_samples.add_instrument_timeframe_arguments(parser)
common_samples.add_date_arguments(parser)
common_samples.add_max_bars_arguments(parser)
parser.add_argument('-PeriodMA1',
metavar="PERIODMA1",
default=5,
type=int,
help='Period of MA1')
parser.add_argument('-PeriodMA2',
metavar="PERIODMA2",
default=10,
type=int,
help='Period of MA2')
parser.add_argument('-PeriodMA3',
metavar="PERIODMA3",
default=15,
type=int,
help='Period of MA3')
parser.add_argument('-TrainPercent',
metavar="TRAINPERCENT",
default=80,
type=int,
help='Percent of training data')
args = parser.parse_args()
return args
def parse_args():
parser = argparse.ArgumentParser(description='Process command parameters.')
common_samples.add_main_arguments(parser)
common_samples.add_instrument_timeframe_arguments(parser)
common_samples.add_date_arguments(parser)
common_samples.add_max_bars_arguments(parser)
args = parser.parse_args()
return args
def parse_args():
parser = argparse.ArgumentParser(description='Process command parameters.')
common_samples.add_main_arguments(parser)
common_samples.add_instrument_timeframe_arguments(parser)
common_samples.add_date_arguments(parser)
common_samples.add_max_bars_arguments(parser)
parser.add_argument('-prevbars',
metavar="PREVBARS",
default=50,
type=int,
help='Number of bars for prediction')
parser.add_argument('-nextbars',
metavar="NEXTBARS",
default=5,
type=int,
help='Number of prediction bars')
args = parser.parse_args()
return args
def parse_args():
parser = argparse.ArgumentParser(description='Process command parameters.')
common_samples.add_main_arguments(parser)
common_samples.add_direction_rate_lots_arguments(parser, direction=False, rate=False)
common_samples.add_account_arguments(parser)
common_samples.add_instrument_timeframe_arguments(parser)
common_samples.add_date_arguments(parser, date_to=False)
def check_positive(value):
i_value = int(value)
if i_value <= 0:
raise argparse.ArgumentTypeError("%s is an invalid positive int value" % value)
return i_value
parser.add_argument('-orderscount', metavar="COUNT", default=3, type=check_positive,
help='How many orders will the strategy create before going out.')
parser.add_argument('-shortperiods', metavar="COUNT", default=5, type=check_positive,
help='Short MA periods count.')
parser.add_argument('-longperiods', metavar="COUNT", default=15, type=check_positive,
help='Long MA periods count.')
args = parser.parse_args()
# specific arguments
return args