def main(options, args):
if not options and not args:
show_usage_and_die(usage)
all_tickers = get_requested_tickers(options, args)
# Remove dups, we're not chumps
all_pivs = list()
for ticker in all_tickers:
try:
all_pivs.append(PivPoints(ticker, get_prev_day(ticker)))
except urllib2.HTTPError:
sys.stderr.write("warning: ticker {0} not found\n\n".format(ticker))
continue
sys.stderr.write("warning: prices may be delayed. Use them as reference only.\n\n")
table = list()
for piv in all_pivs:
msg = "Closest to {0} : {1}".format(*piv.get_closest_line())
table.append([piv.ticker, piv.r2, piv.r1, piv.p, piv.s1, piv.s2, piv.price, msg])
headers = ["Company", "R2", "R1", "P", "S1", "S2", "Price", "Close to"]
print tabulate.tabulate(table, headers=headers, tablefmt="grid")
def main():
if len(sys.argv) != 4:
show_usage_and_die(usage)
try:
principal, rate = map(float, sys.argv[1:3])
periods = int(sys.argv[3])
except Exception as e:
sys.stderr.write(str(e) + "\n")
show_usage_and_die(usage)
total = principal
for i in range(periods):
total = round(total * (1 + rate), 2)
print "\tPeriod {0} : {1}".format(i, total)
print "Total = {0}".format(total)
def main(opts, args):
if not opts and not args:
show_usage_and_die(usage)
all_tickers = get_requested_tickers(opts, args)
table = list()
for ticker in all_tickers:
try:
data = MovAvgs(ticker)
except urllib2.HTTPError as e:
sys.stderr.write("warning: failed retrieving data for ticker {0}: {1}".format(
ticker, str(e)))
continue
except Exception as e:
sys.stderr.write("{0} : unhandled error: {1}\n".format(ticker, str(e)))
continue
below_price = get_mavgs_below_price(data)
if below_price:
msg = "Price is above: {0}".format(below_price)
else:
msg = "Price is trading below MAs"
table_entry = [ticker, data.price, data.ma_5, data.ma_10, data.ma_20, data.ma_50, msg]
table.append(table_entry)
headers = ["Company", "Price", "5-day", "10-day", "20-day", "50-day", "Price vs. MAs"]
# Rearrange table: companies where price is above MAs appear first
above = filter(lambda e: "above" in e[6], table)
above = sorted(above, key=lambda a: len(a[6]), reverse=True)
table = above + filter(lambda e: "below" in e[6], table)
print tabulate.tabulate(table, headers=headers, tablefmt="grid")
# Stop
if not opts.plot:
return 0
print
print "Getting plot links..."
for ticker in all_tickers:
url = get_shorturl(get_mavgs_url(ticker))
print "\t{ticker} : {url}".format(
ticker=ticker,
url=url
)
def main(opts, args):
if not opts and not args:
common.show_usage_and_die(usage)
all_tickers = common.get_requested_tickers(opts, args)
table = list()
try:
for ticker in all_tickers:
try:
price = float(ystock.get_price(ticker))
is_above, high = price_higher_than_days(ticker, opts.ndays, price)
except urllib2.HTTPError as e:
sys.stderr.write("warning: failed retrieving data for {0}: {1}\n".format(
ticker, str(e)))
continue
except Exception as e:
sys.stderr.write("{0}: error: {1}".format(ticker, str(e)))
continue
# Each entry in table:
table_entry = [ticker,
price,
high,
"ABOVE" if is_above else "below"
]
table.append(table_entry)
except urllib2.HTTPError as e:
sys.stderr.write("warning: failed retrieving data for {0}: {1}".format(
ticker, str(e)))
headers = ["Company", "Price", "{0}-day high".format(opts.ndays), "Price vs. {0}-day high".format(
opts.ndays)]
# Lets rearrange the table so all ABOVEs appear before belows
aboves = filter(lambda a: a[3] == "ABOVE", table)
table = aboves + filter(lambda a: a[3] == "below", table)
print tabulate.tabulate(table, headers=headers, tablefmt="grid")
# Rearrange table: companies where price is above MAs appear first
above = filter(lambda e: "above" in e[6], table)
above = sorted(above, key=lambda a: len(a[6]), reverse=True)
table = above + filter(lambda e: "below" in e[6], table)
print tabulate.tabulate(table, headers=headers, tablefmt="grid")
# Stop
if not opts.plot:
return 0
print
print "Getting plot links..."
for ticker in all_tickers:
url = get_shorturl(get_mavgs_url(ticker))
print "\t{ticker} : {url}".format(
ticker=ticker,
url=url
)
if __name__ == "__main__":
if len(sys.argv) == 1:
show_usage_and_die(usage)
parser = get_default_optparser()
parser.add_option("-p", "--plot", dest="plot", default=False,
action="store_true", help="Get links to Yahoo plots. This will be slow.")
sys.exit(main(*parser.parse_args()))
# Each entry in table:
table_entry = [ticker,
price,
high,
"ABOVE" if is_above else "below"
]
table.append(table_entry)
except urllib2.HTTPError as e:
sys.stderr.write("warning: failed retrieving data for {0}: {1}".format(
ticker, str(e)))
headers = ["Company", "Price", "{0}-day high".format(opts.ndays), "Price vs. {0}-day high".format(
opts.ndays)]
# Lets rearrange the table so all ABOVEs appear before belows
aboves = filter(lambda a: a[3] == "ABOVE", table)
table = aboves + filter(lambda a: a[3] == "below", table)
print tabulate.tabulate(table, headers=headers, tablefmt="grid")
if __name__ == "__main__":
if len(sys.argv) == 1:
common.show_usage_and_die(usage)
parser = common.get_default_optparser()
parser.add_option("-n", "--ndays", dest="ndays", default=20,
action="store", help="Number of days. Defaults to 20")
sys.exit(main(*parser.parse_args()))
