def find_optimal_trading_opportunities(candidates=None, back_out=False):
global FETCH_DELAY
global VERBOSE
old_delay = FETCH_DELAY
FETCH_DELAY = 5
if candidates == None:
candidates = sorted(list(opinions.keys()))
else:
VERBOSE = True
# (my_final_score, credit, final_standing, estdeb, s)
output = [ ]
for candidate in candidates:
if am_i_the_last_trade(fetch_question(candidate)):
continue
res = optimal_adjustment(candidate, back_out=back_out)
if res:
output.append(res)
output.sort(key=lambda x: x[3], reverse=True)
for score, credit, final_standing, estdeb, v, steps in output:
if estdeb > 0.666 or VERBOSE:
print v
FETCH_DELAY = old_delay
VERBOSE = False
elif stop<=0.001:
stop = 0.001
true = 100.0 * math.log(start / stop) / math.log(2.0)
#false = 100.0 * math.log((1.0-start) / (1.0-stop)) / math.log(2.0)
if abs(true) < 0.001:
true = 0.001
#if abs(false) < 0.001:
# false = 0.001
return true
opportunities = set([])
if options.show_trading:
print
print "************ TRADING OPPORTUNITIES"
msgs = [ ]
for qid in opinions.keys():
if not by_id.has_key(qid):
continue
q = by_id[qid]
if q['question']['settlement_at'] == None:
settled_at = datetime(2050,1,1,0,0,0)
else:
settled_at = datetime.strptime(q['question']['settlement_at'][0:19], "%Y-%m-%dT%H:%M:%S")
remaining = (settled_at - datetime.now()).total_seconds() / 86400.0
required_gain = 500.0
if remaining < 0:
continue
elif remaining < 1:
required_gain = 0.5
stop = 0.001
true = 100.0 * math.log(start / stop) / math.log(2.0)
#false = 100.0 * math.log((1.0-start) / (1.0-stop)) / math.log(2.0)
if abs(true) < 0.001:
true = 0.001
#if abs(false) < 0.001:
# false = 0.001
return true
opportunities = set([])
if options.show_trading:
print
print "************ TRADING OPPORTUNITIES"
msgs = []
for qid in opinions.keys():
if not by_id.has_key(qid):
continue
q = by_id[qid]
if q['question']['settlement_at'] == None:
settled_at = datetime(2050, 1, 1, 0, 0, 0)
else:
settled_at = datetime.strptime(
q['question']['settlement_at'][0:19], "%Y-%m-%dT%H:%M:%S")
remaining = (settled_at - datetime.now()).total_seconds() / 86400.0
required_gain = 500.0
if remaining < 0:
continue
elif remaining < 1:
