def lowest_manager_sort():
#lowest_codes = filte_lowest_from_google(lowest_detail)
# best = list(set(manager_buy_codes) & set(lowest_codes))
#lowest_percent_sort = sorted([i for i in lowest_detail if i['code'] in lowest_codes],key=lambda x:x['L%'])
lowest = []
for i in lowest_google_detail:
code = i['code']
# sale_price = i['price'] + (i['H'] - i['price'])/2
# profit = int((sale_price / i['price'] -1)*100)
low = i['L']
price = price_now.get(code, 10000)
i['price'] = price
lowest_percent_now = int(float(price - low) * 100 / low)
i['L%'] = lowest_percent_now
avg_200_percent = int(price / i['Avg'] * 100 - 100)
i['Avg%'] = avg_200_percent
left = price - i['L']
right = i['H'] - price
i['P%'] = 10000
if right + left:
i['P%'] = int(right / price * 100)
# i['sale'] = sale_price
# i['P%'] = profit
# i['MB'] = manager_buy.get(i['code'], 10000)
# i['MS'] = manager_sale.get(i['code'], 10000)
# i['MTP'] = manager_5days_buy_dict[i['code']]['total_price']
# i['date'] = manager_5days_buy_dict[i['code']]['date']
# i['Avg'] = manager_5days_buy_dict[i['code']]['avg']
i['TOR'] = turn_over_ratio.get(i['code'], 10000)
i['LB'] = quantity_relative_ratio.get(i['code'], 10000)
# i['FL'] = rise_top.get(i['code'], -10000)
# i['IF%'] = in_flow_ratio.get(i['code'], 10000)
i['NMC'] = stock_size.get(i['code'], 0)
i['CH'] = change_ratio.get(i['code'], 10000)
i['CH5'] = week_change.get(i['code'], 10000)
i['CH30'] = month_change.get(i['code'], 10000)
i['CH90'] = quarter_change.get(i['code'], 10000)
i['PE'] = pe_ratio.get(code, 10000)
i['OPEN'] = open_price.get(code, 10000)
# print json.dumps(i)
# if i['P%'] != 10000 and i['L%'] < 61.8 and i['PE'] > 0 and i['PE'] <100 and i['P%'] > 50:
# i['LB'] != 10000 and i['TOR'] != 10000 and
# and i['CH'] < 5 and i['CH'] > -5:
# and i['Avg%'] < 20:
# and i['P%'] > 20:
# and i['MB'] != 10000 i['TOR'] != 10000 and :
# and i['price'] /i['MB'] < 1.2:
# print i['L']
lowest.append(i)
# print lowest[-1]['L']
# lowest_50.append(i)
lowest_P = sorted(lowest, key=lambda x: x['P%'], reverse=True)
print 'bull stock from sina:'
sina_codes = list(set(bull_code + b_point_code))
sina_lowest = [
i for i in lowest_P
if i['code'] in bull_code and i['L%'] < 100 and i['P%'] > 30
] # and i['OPEN'] < 3 and i['OPEN'] > -3 and i['CH5']<10 and i['CH5']>0]
table_util.print_list(sina_lowest, [
'code', 'L', 'L%', 'P%', 'price', 'Avg%', 'TOR', 'LB', 'NMC', 'CH',
'CH5', 'CH30', 'CH90', 'PE', 'OPEN'
])
print 'sgcx from tencent:'
tencent_lowest = [
i for i in lowest_P
if i['code'] in sgcx_code and i['L%'] < 100 and i['P%'] > 30
]
table_util.print_list(tencent_lowest, [
'code', 'L', 'L%', 'P%', 'price', 'Avg%', 'TOR', 'LB', 'NMC', 'CH',
'CH5', 'CH30', 'CH90', 'PE', 'OPEN'
])
def lowest_manager_sort():
# lowest_codes = filte_lowest_from_google(lowest_detail)
# best = list(set(manager_buy_codes) & set(lowest_codes))
# lowest_percent_sort = sorted([i for i in lowest_detail if i['code'] in lowest_codes],key=lambda x:x['L%'])
lowest = []
for i in lowest_google_detail:
code = i["code"]
# sale_price = i['price'] + (i['H'] - i['price'])/2
# profit = int((sale_price / i['price'] -1)*100)
low = i["L"]
price = price_now.get(code, 10000)
i["price"] = price
lowest_percent_now = int(float(price - low) * 100 / low)
i["L%"] = lowest_percent_now
avg_200_percent = int(price / i["Avg"] * 100 - 100)
i["Avg%"] = avg_200_percent
left = price - i["L"]
right = i["H"] - price
i["P%"] = 10000
if right + left:
i["P%"] = int(right / price * 100)
# i['sale'] = sale_price
# i['P%'] = profit
# i['MB'] = manager_buy.get(i['code'], 10000)
# i['MS'] = manager_sale.get(i['code'], 10000)
# i['MTP'] = manager_5days_buy_dict[i['code']]['total_price']
# i['date'] = manager_5days_buy_dict[i['code']]['date']
# i['Avg'] = manager_5days_buy_dict[i['code']]['avg']
i["TOR"] = turn_over_ratio.get(i["code"], 10000)
i["LB"] = quantity_relative_ratio.get(i["code"], 10000)
# i['FL'] = rise_top.get(i['code'], -10000)
# i['IF%'] = in_flow_ratio.get(i['code'], 10000)
i["NMC"] = stock_size.get(i["code"], 0)
i["CH"] = change_ratio.get(i["code"], 10000)
i["CH5"] = week_change.get(i["code"], 10000)
i["CH30"] = month_change.get(i["code"], 10000)
i["CH90"] = quarter_change.get(i["code"], 10000)
i["PE"] = pe_ratio.get(code, 10000)
i["OPEN"] = open_price.get(code, 10000)
# print json.dumps(i)
# if i['P%'] != 10000 and i['L%'] < 61.8 and i['PE'] > 0 and i['PE'] <100 and i['P%'] > 50:
# i['LB'] != 10000 and i['TOR'] != 10000 and
# and i['CH'] < 5 and i['CH'] > -5:
# and i['Avg%'] < 20:
# and i['P%'] > 20:
# and i['MB'] != 10000 i['TOR'] != 10000 and :
# and i['price'] /i['MB'] < 1.2:
# print i['L']
lowest.append(i)
# print lowest[-1]['L']
# lowest_50.append(i)
lowest_P = sorted(lowest, key=lambda x: x["P%"], reverse=True)
print "bull stock from sina:"
sina_codes = list(set(bull_code + b_point_code))
sina_lowest = [
i for i in lowest_P if i["code"] in bull_code and i["L%"] < 100 and i["P%"] > 30
] # and i['OPEN'] < 3 and i['OPEN'] > -3 and i['CH5']<10 and i['CH5']>0]
table_util.print_list(
sina_lowest,
["code", "L", "L%", "P%", "price", "Avg%", "TOR", "LB", "NMC", "CH", "CH5", "CH30", "CH90", "PE", "OPEN"],
)
print "sgcx from tencent:"
tencent_lowest = [i for i in lowest_P if i["code"] in sgcx_code and i["L%"] < 100 and i["P%"] > 30]
table_util.print_list(
tencent_lowest,
["code", "L", "L%", "P%", "price", "Avg%", "TOR", "LB", "NMC", "CH", "CH5", "CH30", "CH90", "PE", "OPEN"],
)
def check_manager_transaction(choice):
# choice 1 for buy, 2 for sale
# check manager sale, we sale
# manager_codes would be sale or buy codes
hold_codes = []
hold_detail = []
with open('hold.txt', 'r') as fb:
lines = fb.readlines()
for i in lines:
line = json.loads(i)
# print line['code']
hold_codes.append(line['code'])
hold_detail.append(line)
with open('candidate.txt', 'r') as fb:
lines = fb.readlines()
for i in lines:
code = i.split()[1]
hold_codes.append(code)
hold_detail.append({'code': code})
# should_transaction = set(hold_codes) & set(manager_codes)
# if choice == 1:
# # print 'Manager buy num : %d' % len(manager_codes)
# print 'My hold: %s\n' % hold_codes
# print "buy More stock today:"
# for i in should_transaction:
# print i
# print '#' * 40 +'\n'
# else:
# print 'Manager sales num : %d' % len(manager_codes)
# print 'My hold: %s\n' % hold_codes
my_hold = []
for i in lowest_google_detail:
code = i['code']
for j in hold_detail:
if code == j['code']:
lowest = i['L']
price_hold = j.get('price', 10000)
price = price_now.get(code, 10000)
i['price'] = price
lowest_percent_now = int(float(price - lowest) * 100 / lowest)
i['L%'] = lowest_percent_now
avg_200_percent = int(price / i['Avg'] * 100 - 100)
i['Avg%'] = avg_200_percent
profit_now = int((price / price_hold) * 100 - 100)
i['P%_now'] = profit_now
# sale_price = price_hold + (i['H'] - price_hold)/2
sale_price = price_hold * 1.05
profit = int((sale_price / i['price'] - 1) * 100)
i['sale'] = int(sale_price * 100) / 100.0
left = price - i['L']
right = i['H'] - price
i['P%'] = int(right / price * 100)
i['TOR'] = turn_over_ratio.get(code, 10000)
i['LB'] = quantity_relative_ratio.get(code, 10000)
# i['IF%'] = in_flow_ratio.get(code, 10000)
i['NMC'] = stock_size.get(code, 0)
i['CH'] = change_ratio.get(code, 10000)
i['CH5'] = week_change.get(code, 10000)
i['CH30'] = month_change.get(code, 10000)
i['CH90'] = quarter_change.get(code, 10000)
i['PE'] = pe_ratio.get(code, 10000)
i['OPEN'] = open_price.get(code, 10000)
if price / price_hold < 2:
my_hold.append(i)
print 'my hold stock:'
table_util.print_list(my_hold, [
'code', 'L%', 'P%', 'L', 'price', 'H', 'sale', 'Avg%', 'P%_now', 'TOR',
'LB', 'NMC', 'CH', 'CH5', 'CH30', 'CH90', 'OPEN', 'PE'
])
#short = bull_code + b_point_code
#keep = [i for i in my_hold if i['code'] in short]
#table_util.print_list(keep, ['code', 'L%', 'P%', 'L', 'price', 'H', 'sale',
# 'Avg%', 'P%_now', 'TOR', 'LB', 'NMC', 'CH', 'CH5', 'CH30', 'CH90', 'PE'])
# print "Sale stock today:"
# for i in should_transaction:
# print i
print '#' * 40 + '\n'
def check_manager_transaction(choice):
# choice 1 for buy, 2 for sale
# check manager sale, we sale
# manager_codes would be sale or buy codes
hold_codes = []
hold_detail = []
with open("hold.txt", "r") as fb:
lines = fb.readlines()
for i in lines:
line = json.loads(i)
# print line['code']
hold_codes.append(line["code"])
hold_detail.append(line)
with open("candidate.txt", "r") as fb:
lines = fb.readlines()
for i in lines:
code = i.split()[1]
hold_codes.append(code)
hold_detail.append({"code": code})
# should_transaction = set(hold_codes) & set(manager_codes)
# if choice == 1:
# # print 'Manager buy num : %d' % len(manager_codes)
# print 'My hold: %s\n' % hold_codes
# print "buy More stock today:"
# for i in should_transaction:
# print i
# print '#' * 40 +'\n'
# else:
# print 'Manager sales num : %d' % len(manager_codes)
# print 'My hold: %s\n' % hold_codes
my_hold = []
for i in lowest_google_detail:
code = i["code"]
for j in hold_detail:
if code == j["code"]:
lowest = i["L"]
price_hold = j.get("price", 10000)
price = price_now.get(code, 10000)
i["price"] = price
lowest_percent_now = int(float(price - lowest) * 100 / lowest)
i["L%"] = lowest_percent_now
avg_200_percent = int(price / i["Avg"] * 100 - 100)
i["Avg%"] = avg_200_percent
profit_now = int((price / price_hold) * 100 - 100)
i["P%_now"] = profit_now
# sale_price = price_hold + (i['H'] - price_hold)/2
sale_price = price_hold * 1.05
profit = int((sale_price / i["price"] - 1) * 100)
i["sale"] = int(sale_price * 100) / 100.0
left = price - i["L"]
right = i["H"] - price
i["P%"] = int(right / price * 100)
i["TOR"] = turn_over_ratio.get(code, 10000)
i["LB"] = quantity_relative_ratio.get(code, 10000)
# i['IF%'] = in_flow_ratio.get(code, 10000)
i["NMC"] = stock_size.get(code, 0)
i["CH"] = change_ratio.get(code, 10000)
i["CH5"] = week_change.get(code, 10000)
i["CH30"] = month_change.get(code, 10000)
i["CH90"] = quarter_change.get(code, 10000)
i["PE"] = pe_ratio.get(code, 10000)
i["OPEN"] = open_price.get(code, 10000)
if price / price_hold < 2:
my_hold.append(i)
print "my hold stock:"
table_util.print_list(
my_hold,
[
"code",
"L%",
"P%",
"L",
"price",
"H",
"sale",
"Avg%",
"P%_now",
"TOR",
"LB",
"NMC",
"CH",
"CH5",
"CH30",
"CH90",
"OPEN",
"PE",
],
)
# short = bull_code + b_point_code
# keep = [i for i in my_hold if i['code'] in short]
# table_util.print_list(keep, ['code', 'L%', 'P%', 'L', 'price', 'H', 'sale',
# 'Avg%', 'P%_now', 'TOR', 'LB', 'NMC', 'CH', 'CH5', 'CH30', 'CH90', 'PE'])
# print "Sale stock today:"
# for i in should_transaction:
# print i
print "#" * 40 + "\n"