def end_date_filter(code_name):
stock = code_name[0]
name = code_name[1]
data = utils.read_data(stock, name)
if data is None:
return False
return \
enter.check_ma(stock, data, end_date=end_date) \
and enter.check_max_price(stock, data, end_date=end_date) \
and enter.check_volume(code_name, data, end_date=end_date)
def end_date_filter(code_name):
stock = code_name[0]
data = utils.read_data(code_name)
result = enter.check_ma(stock, data, end_date=end_date) \
and backtrace_ma250.check(stock, data, end_date=end_date)
if result:
message = turtle_trade.calculate(code_name, data)
logging.info("{0} {1}".format(code_name, message))
notify.notify("{0} {1}".format(code_name, message))
return result
# moving_average = 20
#
# average_true_range_list = ATR(
# data.high.values[-rolling_window:],
# data.low.values[-rolling_window:],
# data.close.values[-rolling_window:],
# timeperiod=moving_average
# )
#
# average_true_range = average_true_range_list[-1]
#
stock = "000977"
name = "浪潮信息"
data = utils.read_data(stock)
# print(data)
result = enter.check_ma(stock, data)
logging.info("low atr check {0}'s result: {1}".format(stock, result))
#
# rolling_window = 21
# moving_average = 20
#
# average_true_range = ATR(
# data.high.values[-rolling_window:],
# data.low.values[-rolling_window:],
# data.close.values[-rolling_window:],
# timeperiod=moving_average
# )
# print(data['high'].values)
#
# print(average_true_range)
def ma250(stock):
stock_data = utils.read_data(stock)
return enter.check_ma(stock, stock_data)
# data.close.values[-rolling_window:],
# timeperiod=moving_average
# )
#
# average_true_range = average_true_range_list[-1]
#
settings.init()
# stock = ('002017', '东信和平')
# end = '2019-02-01'
stock = ('600776', '东方通信')
end = '2019-02-01'
data = utils.read_data(stock)
# print(data)
result = enter.check_ma(stock, data) and backtrace_ma250.check(
stock, data, end_date=end)
logging.info("low atr check {0}'s result: {1}".format(stock, result))
#
# rolling_window = 21
# moving_average = 20
#
# average_true_range = ATR(
# data.high.values[-rolling_window:],
# data.low.values[-rolling_window:],
# data.close.values[-rolling_window:],
# timeperiod=moving_average
# )
# print(data['high'].values)
#
# print(average_true_range)
