def test_AskHorse(self, sendEmail):
self._createStrategy()
args = "-n unitTest".split()
askHorse(args)
self.assertTrue(sendEmail.called)
self.assertEqual(len(sendEmail.call_args[0][0]), 3)
def test_AskHorse(self, sendEmail):
self._createStrategy()
args = "-n unitTest".split()
askHorse(args)
self.assertTrue(sendEmail.called)
self.assertEqual(len(sendEmail.call_args[0][0]), 3)
cbaEquityData.query("Date > '2015-01-01 00:00:00'").plot(y=['upperband','middleband','lowerband','Close'], title='CBA BBAND 2015')
import pyswing.database
import sqlite3
from pandas.io.sql import read_sql_query
connection = sqlite3.connect("output/TestMultipleIndicatorRule.db")
query = "select e.Date, Close, SMA_200 from Equities e inner join Indicator_SMA i on e.Date = i.Date and e.Code = i.Code"
cbaEquityData = read_sql_query(query, connection, 'Date')
connection.close()
cbaEquityData.query("Date > '2015-06-01 00:00:00'").plot(y=['Close','SMA_200'], title='Testing')
from pyswing.AskHorse import askHorse
args = "-n asx".split()
askHorse(args)
from pyswing.AnalyseStrategies import analyseStrategies
args = "-n ftse -s v1.2 -r 0.4 -t 500".split
analyseStrategies(args)
# Run me to populate (emptying to begin with) the historic trades table using the strategies in active strategies (which must be put in there manually)...
from pyswing.GenerateHistoricTradesForActiveStrategies import generateHistoricTradesForActiveStrategies
args = "-n ftse".split()
generateHistoricTradesForActiveStrategies(args)
# Run me to chart the (distinct) results in active strategy
import pyswing.database
y=['upperband', 'middleband', 'lowerband', 'Close'],
title='CBA BBAND 2015')
import pyswing.database
import sqlite3
from pandas.io.sql import read_sql_query
connection = sqlite3.connect("output/TestMultipleIndicatorRule.db")
query = "select e.Date, Close, SMA_200 from Equities e inner join Indicator_SMA i on e.Date = i.Date and e.Code = i.Code"
cbaEquityData = read_sql_query(query, connection, 'Date')
connection.close()
cbaEquityData.query("Date > '2015-06-01 00:00:00'").plot(
y=['Close', 'SMA_200'], title='Testing')
from pyswing.AskHorse import askHorse
args = "-n asx".split()
askHorse(args)
from pyswing.AnalyseStrategies import analyseStrategies
args = "-n ftse -s v1.2 -r 0.4 -t 500".split
analyseStrategies(args)
# Run me to populate (emptying to begin with) the historic trades table using the strategies in active strategies (which must be put in there manually)...
from pyswing.GenerateHistoricTradesForActiveStrategies import generateHistoricTradesForActiveStrategies
args = "-n ftse".split()
generateHistoricTradesForActiveStrategies(args)
# Run me to chart the (distinct) results in active strategy
import pyswing.database
import sqlite3
from pandas.io.sql import read_sql_query
from pandas import expanding_sum
