class StrategyCalculator():
def __init__(self, tickerName):
self.tickerName = tickerName
self.comparator = Comparator(self.tickerName)
self.analyser = Analyser(self.tickerName, self.comparator)
def inform(self, df):
# print("Calculating Strategy for " + str(self.tickerName) + " at " + str(timeStamp) + "...")
### TO-DO: Develop strategies to calculate
##
## Inform Analyser to do the interval Analysis first
## This is before the pseudotrades to ensure no clashes
self.analyser.intervalAnalysis(df.head(1))
self.comparator.intervalAnalysis(df.head(1))
indi = ind.Indicator()
Results = indi.beginCalc(df, self.tickerName)
for i in Results:
# print('Indicator: ' + i)
# print('Position: ' + str((Results[i])['position']))
if (Results[i])["position"] != 0:
self.analyser.PseudoTrade(df, i, Results[i])
### for testing
# self.analyser.PseudoTrade(df,i, Results[i], atr)
###
### END TO-DO
# print("Calculated Strategy for " + str(self.tickerName) + " at " + str(timeStamp))
self.comparator.compare(Results, df["date"].values[0])
class StrategyCalculator():
def __init__(self, tickerName):
self.tickerName = tickerName
self.comparator = Comparator(self.tickerName)
self.analyser = Analyser(self.tickerName, self.comparator)
def inform(self, df):
# print("Calculating Strategy for " + str(self.tickerName) + " at " + str(timeStamp) + "...")
### TO-DO: Develop strategies to calculate
##
## Inform Analyser to do the interval Analysis first
## This is before the pseudotrades to ensure no clashes
self.analyser.intervalAnalysis(df.head(1))
#1. Calculate ATR for potential trade
atr = atrcalc.ATRcalc(df)
indi = ind.Indicator()
Results = indi.beginCalc(df, self.tickerName, atr)
for i in Results:
if Results[i] != 0:
self.analyser.PseudoTrade(df, i, Results[i], atr)
### for testing
# self.analyser.PseudoTrade(df,i, Results[i], atr)
###
### END TO-DO
# print("Calculated Strategy for " + str(self.tickerName) + " at " + str(timeStamp))
self.comparator.compare(Results, atr)
