def calculateValues(self):
"""TODO: Describe the method here """
if not self.influences_acquisition:
return 0
if self.sentiment_feed == 'Manual':
R_SENTIMENTS_SCALE = getReversedTuple(
tuple_data=CHOICES_SENTIMENTS_SCALE)
R_SENTIMENTS_WEIGHT_SCALE = getReversedTuple(
tuple_data=CHOICES_SENTIMENTS_WEIGHT_SCALE)
value = R_SENTIMENTS_SCALE[self.external_sentiment] * R_SENTIMENTS_WEIGHT_SCALE[self.external_sentiment_weight] + \
R_SENTIMENTS_SCALE[self.market_sentiment] * R_SENTIMENTS_WEIGHT_SCALE[self.market_sentiment_weight] + \
R_SENTIMENTS_SCALE[self.sector_sentiment] * R_SENTIMENTS_WEIGHT_SCALE[self.sector_sentiment_weight] + \
R_SENTIMENTS_SCALE[self.equity_sentiment] * R_SENTIMENTS_WEIGHT_SCALE[self.equity_sentiment_weight]
return value
elif self.sentiment_feed == 'Automatic':
if self.composition_calc == 'Random':
return self.calculateAnyRandomValue()
elif self.composition_calc == 'A1':
return 0 if self.pair_robot == None else self.pair_robot.calculateSMA(
use_transition=False)
elif self.composition_calc == 'A2':
return 0 if self.pair_robot == None else self.pair_robot.calculateEMA(
use_transition=False)
elif self.composition_calc == 'A3':
return self.calculateAlternateRandomValue()
elif self.composition_calc == 'A4':
return self.calculateKnowledgeBasedValue()
return 0
def testReverseTuplesTest(self):
R_CHOICES_BLACKOUT_WINDOW = getReversedTuple(
tuple_data=CHOICES_BLACKOUT_WINDOW)
one = R_CHOICES_BLACKOUT_WINDOW['one']
five = R_CHOICES_BLACKOUT_WINDOW['one']
self.assertEqual(one, 1)
self.assertEqual(five, 5)
def calculateValues(self):
#Reverse the tuple (1,'key') ==> ('key',1) to simplify indexed access.
if not self.influences_acquisition:
return 0
R_SENTIMENTS_SCALE = getReversedTuple(
tuple_data=CHOICES_SENTIMENTS_SCALE)
R_SENTIMENTS_WEIGHT_SCALE = getReversedTuple(
tuple_data=CHOICES_SENTIMENTS_WEIGHT_SCALE)
value = R_SENTIMENTS_SCALE[self.external_sentiment] * R_SENTIMENTS_WEIGHT_SCALE[self.external_sentiment_weight] + \
R_SENTIMENTS_SCALE[self.market_sentiment] * R_SENTIMENTS_WEIGHT_SCALE[self.market_sentiment_weight] + \
R_SENTIMENTS_SCALE[self.sector_sentiment] * R_SENTIMENTS_WEIGHT_SCALE[self.sector_sentiment_weight] + \
R_SENTIMENTS_SCALE[self.equity_sentiment] * R_SENTIMENTS_WEIGHT_SCALE[self.equity_sentiment_weight]
return value
def isLocal(self): R_CHOICES_BROKERAGE_PAPER = getReversedTuple(tuple_data=CHOICES_BROKERAGE_PAPER) value = R_CHOICES_BROKERAGE_PAPER[self.brokerage_type] return value == 'Local Account'
def isETradeRetirement(self): R_CHOICES_BROKERAGE_PAPER = getReversedTuple(tuple_data=CHOICES_BROKERAGE_PAPER) value = R_CHOICES_BROKERAGE_PAPER[self.brokerage_type] return value == 'eTrade Retirement'
def isAmeritrade(self): R_CHOICES_BROKERAGE_PAPER = getReversedTuple(tuple_data=CHOICES_BROKERAGE_PAPER) value = R_CHOICES_BROKERAGE_PAPER[self.brokerage_type] return value == 'Ameritrade'
def isBatchamStrategy(self):
R_CHOICES_STRATEGY_CATEGORY = getReversedTuple(
tuple_data=CHOICES_STRATEGY_CATEGORY)
value = R_CHOICES_STRATEGY_CATEGORY[self.strategy_category]
return value == 'Batcham'