# print zip(buysequence)
starterports = []
firstcsv = True
for csvfile in inputcsvfiles:
starterports.append(rebalance.read_cmc_pnl_to_portfdict(csvfile,desiredport))
if not firstcsv:
starterports.append(rebalance.add_portfdict(starterports[-2],starterports[-1]))
else:
firstcsv = False
portfolios = [starterports[-1]]
starterport = starterports[-1]
print "starter portfolio"
rebalance.printport(starterport)
starterrating = rebalance.isrebalancegood(starterport)
print "starter rating", starterrating
totalspend = 0
fees = 0
for buycode,buyamount in buysequence:
print "buy ",buyamount," of ",buycode
portfolios.append(rebalance.rebalance(float(buyamount),portfolios[-1],buycode))
totalspend = totalspend + float(buyamount)
fees = fees + fee
rebalance.printport(portfolios[-1])
print "rating of ",rebalance.isrebalancegood(portfolios[-1])
print "totalspend is: ",totalspend," (inc fees is: ",totalspend + fees," )"
print "fees are: ",fees," which is ",fees/(totalspend + fees) * 100," per cent"
if __name__ == '__main__':
try:
fee, desiredport, singleproc = rebalance.readconfig(sys.argv[1])
cmcpnlcsvfilename = sys.argv[2]
addedcash = float(sys.argv[3])
numtries = int(sys.argv[4])
except:
usage()
starterport = rebalance.read_cmc_pnl_to_portfdict(cmcpnlcsvfilename,desiredport)
buychoices = {}
print "starter portfolio, loaded from the file ",cmcpnlcsvfilename
rebalance.printport(starterport)
starterrating = rebalance.isrebalancegood(starterport)
print "starter balance rating (i.e. how close to the desired balance):", starterrating
print
# first gather all the single buy choices.
for asxcode in starterport.keys():
newport = rebalance.rebalance(addedcash - fee,starterport,asxcode)
newrating = rebalance.isrebalancegood(newport)
# print asxcode,newrating
# if newrating > starterrating or asxcode == 'TOTALS:':
if asxcode == rebalance.TOTALS:
# print "dont bother with", asxcode
pass
else:
buychoices[newrating] = [addedcash,asxcode]