# bcjd=2015-07-13&ecjd=2015-07-14

# cjd:chang day

# bdlx:1 buy, 2 sale

# bbdje=10&ebdje=100 range 10 thounsand

# bzltb: percentage %%

# titType: sort keyword,0,1:date 3:amount(10thounsand) 5:money 8:percentage

url = "http://stockdata.stock.hexun.com/ggzjc/data/ChangeHistory.aspx?count=30000&callback=" \

"hxbase_json5&stateType=up&titType=5"

url += "&bdlx=" + str(bdlx)

date = datetime.date.today()

start_date = str(date - datetime.timedelta(days=41))

# url += '&bcjd=%s&ecjd=%s'%(start_date,start_date)

if days:

url +='&cjd=' + str(days)

# url += '&bcjd=%s&ecjd=%s'%(start_date,date)

elif bdlx == 1:

url +='&cjd=90'

else:

url += '&cjd=5'

ret_list = []

codes = []

# for i in range(1, 100):

# page = '&page=' + str(i)

# new_url = url + page

# print new_url

url += '&page=1'

print url

resp, content = http_request.request(url, "GET")

content = content.replace('\"', '')

content = content.replace('http:', '')

content = re.sub(r"<[^<]*>", r"", content)

content = re.sub(r"(,?)(\w+?)\s*?:", r"\1'\2' :", content)

content = content.replace("'", "\"")

result = json.loads(content[13:-1]).get('list')

# if not len(result):

# break

for i in result:

# print i['stockName'], i['averagePrice'], i['price'], i['circulationCapitalRatio']

price = float(i['price'])

if price > 10 or bdlx == 2:

code = str(re.sub(r"[^\(]*\(", r"", i['stockName'])[:-1])

name = i['stockName'].split('(')[0]

d = {'code': code, 'price': price, 'ratio': i['circulationCapitalRatio'], 'name': name}

codes.append(code)

ret_list.append(d)

date = i['changeDate'][-5:]

avgprice = float(i['averagePrice'])

if bdlx ==1 and (not manager_buy.has_key(code) or manager_buy[code] < avgprice):

manager_buy[code] = avgprice

if bdlx ==2 and (not manager_sale.has_key(code) or manager_sale[code] > avgprice):

manager_sale[code] = avgprice

# elif ret_dict[code]['total_price'] < price:

# ret_dict[code]['total_price'] = price

# ret_dict[code]['date'] = date

# ret_dict[code]['avg'] = avgprice

print len(codes)

url = 'http://xuanguapi.eastmoney.com/Stock/JS.aspx?type=xgq&sty=xgq&token=eastmoney&c=[hqzb11(1|5)]&p=1&jn' \

'=AzvrOrMg&ps=40&s=hqzb11(1|5)&st=-1&r=1438007615018'

url = 'http://xuanguapi.eastmoney.com/Stock/JS.aspx?type=xgq&sty=xgq&token=eastmoney&c=[hqzb12(1|5)]&p=1&jn=IkyIDTEU&ps=4000&s=hqzb12(1|5)&st=-1&r=1438828990543'

resp, content = http_request.request(url, "GET")

json_content = json.loads(content[13:]).get("Results")

for i in json_content:

detail = i.split(',')

code = detail[1]

fluctuation = detail[3]

drop[code] = fluctuation

url = 'http://xuanguapi.eastmoney.com/Stock/JS.aspx?type=xgq&sty=xgq&token=eastmoney&c=[hqzb11(1|5)]&p=1&jn' \

'=AzvrOrMg&ps=40&s=hqzb11(1|5)&st=-1&r=1438007615018'

url = 'http://xuanguapi.eastmoney.com/Stock/JS.aspx?type=xgq&sty=xgq&token=eastmoney&c=[hqzb11(1|5)]&p=1&jn=IkyIDTEU&ps=4000&s=hqzb11(1|5)&st=-1&r=1438828990543'

resp, content = http_request.request(url, "GET")

json_content = json.loads(content[13:]).get("Results")

for i in json_content:

detail = i.split(',')

code = detail[1]

fluctuation = detail[3]

drop[code] = fluctuation

# time_stamp = str(int(time.time()*1000 - 999999))

# today lowest

url = "http://xuanguapi.eastmoney.com/Stock/JS.aspx?type=xgq&sty=xgq&token=eastmoney&c=[hqzb04]&p=1&jn=LDGsJsMh&" \

"ps=40&s=hqzb04&st=-1&r="

# 3 days lowest

url3 = 'http://xuanguapi.eastmoney.com/Stock/JS.aspx?type=xgq&sty=xgq&token=eastmoney&c=[hqzb05(1|3)]&p=1&jn=' \

'lFnifSXE&ps=40&s=hqzb05(1|3)&st=-1&r=1437009363662'

# 5days lowest

url5 = 'http://xuanguapi.eastmoney.com/Stock/JS.aspx?type=xgq&sty=xgq&token=eastmoney&c=[hqzb05(1|5)]&p=1&jn=' \

'FbpVPbpk&ps=40&s=hqzb05(1|5)&st=-1&r=1437009283929'

resp, content = http_request.request(url, "GET")

result = json.loads(content[13:]).get("Results")

date = datetime.date.today()

code_name = []

codes = []

for i in result:

i = i.encode("utf-8").split(",")

# if "N" or "退" in i[2]:

# continue

line = i[1] + " " + i[2] + "\n"

codes.append(i[1])

code_name.append(line)

if not code_name:

return False

codes.sort(key=lambda code : int(code))

# print codes

# with open(str(date) + ".txt","w") as fb:

# fb.writelines(code_name)

# with open(str(date) + "-code.txt","w") as fb:

# for i in codes:

# fb.writelines(i + "\n")

url = 'http://quotes.money.163.com/hs/realtimedata/service/marketIndexes.php?host=/hs/realtimedata/service/' \

'marketIndexes.php&page=0&query=HIGH_LOW_RECENTLY.HIGH_LOW:int_-1&fields=RN,SYMBOL,CODE,NAME,TYPE,PRICE,' \

'HIGH_LOW_RECENTLY,PERCENT&sort=PRICE&order=ASC&count=9999&type=query&callback=callback_9967058&req=51111'

url2 ='http://quotes.money.163.com/hs/realtimedata/service/marketIndexes.php?host=/hs/realtimedata/service/' \

'marketIndexes.php&page=1&query=HIGH_LOW_RECENTLY.HIGH_LOW:int_-1&fields=RN,SYMBOL,CODE,NAME,TYPE,PRICE,' \

'HIGH_LOW_RECENTLY,PERCENT&sort=PRICE&order=ASC&count=25&type=query&callback=callback_1993377099&req=5112'

resp, content = http_request.request(url, "GET")

index = content.index('"list":[') + 7

json_content = json.loads(content[index:-3])

codes = []

for i in json_content:

code = i['SYMBOL']

codes.append(code)

print len(codes)

url = 'https://www.google.com.hk/finance?output=json&start=50&num=1&noIL=1&q=[%28%28exchange%20%3D%3D%20%22SHE%' \

'22%29%20%7C%20%28exchange%20%3D%3D%20%22SHA%22%29%29%20%26%20%28market_cap%20%3E%3D%200%29%20%26%20%28' \

'market_cap%20%3C%3D%202220000000000%29%20%26%20%28pe_ratio%20%3E%3D%200%29%20%26%20%28pe_ratio' \

'%20%3C%3D%2025099.999999999996%29%20%26%20%28dividend_yield%20%3E%3D%200%29%20%26%20%28dividend_yield' \

'%20%3C%3D%2012.64%29%20%26%20%28price_change_52week%20%3E%3D%20-67.69%29%20%26%20%28price_change_52week' \

'%20%3C%3D%2099%29%20%26%20%28last_price%20%3E%3D%200%29%20%26%20%28last_price%20%3C%3D%2016200.000000000002' \

'%29%20%26%20%28low_52week%20%3E%3D%200%29%20%26%20%28low_52week%20%3C%3D%208834%29]&restype=company&' \

'ei=WpGoVZG8BqaHjAGrzpiADw&gl=cn&sortas=Price52WeekPercChange&desc=1'

url = 'https://www.google.com.hk/finance?output=json&noIL=1&q=[%28%28exchange%20%3D%3D%20%22SHE%2' \

'2%29%20%7C%20%28exchange%20%3D%3D%20%22SHA%22%29%29%20%26%20%28price_change_52week%20%3E%3D%20-9999%29%2' \

'0%26%20%28price_change_52week%20%3C%3D%2099%29%20%26%20%28last_price%20%3E%3D%200%29%20%26%20%28last_pric' \

'e%20%3C%3D%2016200.000000000002%29%20%26%20%28low_52week%20%3E%3D%200%29%20%26%20%28low_52week%20%3C%3D%2' \

'08834%29]&restype=company&ei=WpGoVZG8BqaHjAGrzpiADw&gl=cn&sortas=Price52WeekPercChange&desc=1&num=300&start=0'

url = 'https://www.google.com.hk/finance?output=json&num=500&noIL=1&q=[%28%28exchange%20%3D%3D%20%22SHE%22' \

'%29%20%7C%20%28exchange%20%3D%3D%20%22SHA%22%29%29%20%26%20%28price_change_52week%20%3E%3D%20-99%29%20%' \

'26%20%28price_change_52week%20%3C%3D%20964%29%20%26%20%28high_52week%20%3E%3D%200%29%20%26%20%28high_52week' \

'%20%3C%3D%2022599.999999999996%29%20%26%20%28last_price%20%3E%3D%200%29%20%26%20%28last_price%20%3C%3D%' \

'2016400%29%20%26%20%28low_52week%20%3E%3D%200%29%20%26%20%28low_52week%20%3C%3D%208834%29%20%26%20%28' \

'average_200day_price%20%3E%3D%200%29%20%26%20%28average_200day_price%20%3C%3D%20185%29]' \

'&restype=company&ei=9MmoVdmyK4n3jAGdhIL4Cg&gl=cn&sortas=Price52WeekPercChange&desc=1'

url2 = 'https://www.google.com.hk/finance?output=json&num=500&noIL=1&q=[%28%28exchange%20%3D%3D%20%22SHE%22' \

'%29%20%7C%20%28exchange%20%3D%3D%20%22SHA%22%29%29%20%26%20%28price_change_52week%20%3E%3D%20-99%29%20%' \

'26%20%28price_change_52week%20%3C%3D%20964%29%20%26%20%28high_52week%20%3E%3D%200%29%20%26%20%28high_52week' \

'%20%3C%3D%2022599.999999999996%29%20%26%20%28pe_ratio%20%3E%3D%200%29%20%26%20%28pe_ratio%20%3C%3D%2061.8'\

'%29%20%26%20%28low_52week%20%3E%3D%200%29%20%26%20%28low_52week%20%3C%3D%208834%29%20%26%20%28' \

'average_50day_price%20%3E%3D%200%29%20%26%20%28average_50day_price%20%3C%3D%20185%29]' \

'&restype=company&ei=9MmoVdmyK4n3jAGdhIL4Cg&gl=cn&sortas=Price52WeekPercChange&desc=1'

# encode_url = 'output=json&start=0&num=20&noIL=1&q=[((exchange == "SHE") | ' \

# '(exchange == "SHA")) & (price_change_52week >= -67.69) & (price_change_52week <= 964) & (high_52week >= 0)' \

# ' & (high_52week <= 22599.999999999996) & (last_price >= 0) & (last_price <= 16400) & (low_52week >= 0) &' \

# ' (low_52week <= 8834)]&restype=company&ei=9MmoVdmyK4n3jAGdhIL4Cg&gl=cn&sortas=Price52WeekPercChange'

# print urllib.unquote(encode_url)

#

# url = urllib.urlencode(url)

http_client = http_request

codes = []

for i in range(0, 3300, 500):

start = str(i)

new_rul = url + '&start=' + start

resp, content = http_client.request(new_rul, "GET")

lindex = content.index('"searchresults"') + 17

rindex = content.index('"mf_searchresults"') -2

content = content[lindex : rindex].replace('\\x26', ' ')

# content = re.sub(r"\\x26([a-zA-Z]{2,6});", r"&\1;", content);

json_content = json.loads(content)

for i in json_content:

code = i['ticker']

if code.startswith('300'):

continue

columns = i['columns']

try:

change = float(columns[0]['value'])

except Exception as e:

change = 10000

try:

highest = float(columns[1]['value'])

except Exception as e:

highest = 10000

quotelast = 1

if quotelast !=0 and quotelast < 100:

try:

low52week = float(columns[-2]['value'])

except Exception as e:

low52week = 10000

try:

avg_200 = float(columns[-1]['value'])

except Exception as e:

avg_200 = 10000

if low52week > 100 or highest > 500:

continue

#lowest_percent = int(quotelast / low52week * 100 -100)

#avg_200_percent = int(quotelast / avg_200 * 100 -100)

d = {'code':code, 'L': low52week, 'H': highest, 'change_last_year': change, 'Avg': avg_200}

# print d, int(float(quotelast - low52week)/quotelast * 100)

lowest_google_detail.append(d)

codes.append(code)

url = 'http://vip.stock.finance.sina.com.cn/quotes_service/api/json_v2.php/Market_Center.getHQNodeData?page=1' \

'&num=4000&sort=turnoverratio&asc=0&node=hs_a&symbol=&_s_r_a=init'

resp, content = http_request.request(url, "GET")

content = re.sub(r":(\w+?):", r"fuck", content)

content = re.sub(r"(,?)(\w+?)\s*?:", r"\1'\2' :", content)

content = content.replace("'", "\"")

json_content = json.loads(content)

for i in json_content:

code = i['code']

ratio = int(i['turnoverratio'])

turn_over_ratio[code] = ratio

url = 'http://vip.stock.finance.sina.com.cn/quotes_service/api/json_v2.php/MoneyFlow.ssl_bkzj_ssggzj?page=1&num=4000&sort=r0_ratio&asc=0'

resp, content = http_request.request(url, "GET")

content = re.sub(r"(,?)(\w+?)\s*?:", r"\1'\2' :", content)

content = content.replace("'", "\"")

json_content = json.loads(content)

for i in json_content:

code = i['symbol'][2:]

inflow = int(float(i['r0_ratio'])*100.0)

turn_over = int(float(i['turnover']))/100.0

change = int(float(i['changeratio'])*1000)/10.0

price = int(float(i['trade'])*100)/100.0

in_flow_ratio[code] = inflow

turn_over_ratio[code] = turn_over

change_ratio[code] = change

price_now[code] = price

print 'sina turn over ratio: ', len(turn_over_ratio)

url = 'http://vip.stock.finance.sina.com.cn/q/go.php/vIR_Burstout/index.phtml'

resp, content = http_request.request(url, 'GET')

start = content.find('var STR_HX_CODE = ') + 18

end = content.find('\n', start) - 1

content = content[start:end]

try:

codes = json.loads(content)

except Exception as e:

print 'get bull codes error'

global bull_code

bull_code = [i[2:] for i in codes if not i[2:].startswith('3')]

global b_point_code

urls = ['http://vip.stock.finance.sina.com.cn/q/go.php/vDYData/kind/bdmr/index.phtml?p=', \

'http://vip.stock.finance.sina.com.cn/q/go.php/vDYData/kind/dxcj/index.phtml?p=', \

'http://vip.stock.finance.sina.com.cn/q/go.php/vDYData/kind/kdfp/index.phtml?p=', \

'http://vip.stock.finance.sina.com.cn/q/go.php/vDYData/kind/kpjc/index.phtml?p=']

for url in urls:

for i in range(1,100):

page_url = url + str(i)

resp, content = http_request.request(page_url, 'GET')

if 'php?q=' not in content:

break

code_str = content.split('php?q=')

for i in code_str[1::2]:

b_point_code.append(i[:6])

global b_point_code

urls = ['http://vip.stock.finance.sina.com.cn/q/go.php/vDYData/kind/dxcj/index.phtml?p=']

# 'http://vip.stock.finance.sina.com.cn/q/go.php/vDYData/kind/kdfp/index.phtml?p=', \

# 'http://vip.stock.finance.sina.com.cn/q/go.php/vDYData/kind/dpjc/index.phtml?p=']

for url in urls:

for i in range(1,100):

page_url = url + str(i)

resp, content = http_request.request(page_url, 'GET')

if 'php?q=' not in content:

break

code_str = content.split('php?q=')

for i in code_str[1::2]:

short_code.append(i[:6])

url = "http://money.finance.sina.com.cn/quotes_service/api/jsonp_v2.php/IO.XSRV2.CallbackList['b4VIm$HArIJ1qfKO']/Market_Center.getHQNodeDataNew?page=1&num=5000&sort=nmc&asc=0&node=hs_a"

resp, content = http_request.request(url, "GET")

content = content[42:-1]

content = re.sub(r":(\w+?):", r"fuck", content)

content = re.sub(r"(,?)(\w+?)\s*?:", r"\1'\2' :", content)

content = content.replace("'", "\"")

json_content = json.loads(content)

for i in json_content:

code = i['code']

nmc = int(float(i['nmc'])/10000.0)

stock_size[code] = nmc

url ='http://quotes.money.163.com/hs/service/diyrank.php?host=http%3A%2F%2Fquotes.money.163.com%2Fhs%2Fservice%2' \

'Fdiyrank.php&page=0&query=STYPE%3AEQA&fields=SYMBOL%2CLB&sort=LB&order=desc&count=4000&type=query'

smal_url = 'http://quotes.money.163.com/hs/service/diyrank.php?host=http%3A%2F%2Fquotes.money.163.com%2Fhs%2Fservice%2' \

'Fdiyrank.php&page=0&query=SCSTC27_RNG%3AS&fields=NO%2CSYMBOL%2CNAME%2CPRICE%2CPERCENT%2CUPDOWN%2CFIVE_MINUTE%2' \

'COPEN%2CYESTCLOSE%2CHIGH%2CLOW%2CVOLUME%2CTURNOVER%2CHS%2CLB%2CWB%2CZF%2CPE%2CMCAP%2CTCAP%2CMFSUM%2CMFRATIO' \

'.MFRATIO2%2CMFRATIO.MFRATIO10%2CSNAME%2CCODE%2CANNOUNMT%2CUVSNEWS&sort=LB&order=desc&count=4000&type=query'

url = 'http://quotes.money.163.com/hs/service/diyrank.php?host=http%3A%2F%2Fquotes.money.163.com%2Fhs%2Fservice%2Fdiyrank.php&page=0&query=STYPE%3AEQA&fields=NO%2CSYMBOL%2CNAME%2CPRICE%2CPERCENT%2CUPDOWN%2CFIVE_MINUTE%2COPEN%2CYESTCLOSE%2CHIGH%2CLOW%2CVOLUME%2CTURNOVER%2CHS%2CLB%2CWB%2CZF%2CPE%2CMCAP%2CTCAP%2CMFSUM%2CMFRATIO.MFRATIO2%2CMFRATIO.MFRATIO10%2CSNAME%2CCODE%2CANNOUNMT%2CUVSNEWS&sort=LB&order=asc&count=4000&type=query'

resp, content = http_request.request(url, "GET")

json_content = json.loads(content)

stock_list = json_content.get('list')

print json_content.get('time')

for i in stock_list:

code = i['SYMBOL']

change = i.get('PERCENT')

if change:

change = int(change*1000)/10.0

else:

change = 10000

turn_over = i.get('HS')

if turn_over:

turn_over = int(turn_over*1000)/10.0

else:

turn_over = 10000

price = i.get('PRICE')

if price:

price = int(price*10)/10.0

else:

price = 10000

lb = i.get('LB')

if lb:

lb = int(lb*10)/10.0

else:

lb = 10000

pe = i.get('PE')

if pe:

pe=int(pe)

else:

pe = 10000

size = i.get('MCAP')

if size:

size = int(size/100000000)

else:

size = 10000

open = i.get('OPEN')

if open:

open = float(open)

else:

open = 10000

close = i.get('YESTCLOSE')

if close:

close = float(close)

else:

close = 10000

if open !=10000 and close != 10000:

open = int((open-close)/close*100)

open_price[code] = open

stock_size[code] = size

pe_ratio[code] = pe

quantity_relative_ratio[code] = lb

turn_over_ratio[code] = turn_over

change_ratio[code] = change

price_now[code] = price

url = 'http://quotes.money.163.com/hs/realtimedata/service/rank.php?host=/hs/realtimedata/service/rank.php&page=0&query=LONG_PERIOD_RANK:_exists_&fields=SYMBOL,PRICE,LONG_PERIOD_RANK,PERCENT&sort=LONG_PERIOD_RANK.WEEK_PERCENT&order=asc&count=4000&type=query'

resp, content = http_request.request(url, "GET")

json_content = json.loads(content)

stock_list = json_content.get('list')

for i in stock_list:

code = i['SYMBOL']

long_change = i['LONG_PERIOD_RANK']

we_change = int(long_change.get('WEEK_PERCENT',10000)*100)

mon_change = int(long_change.get('MONTH_PERCENT',10000)*100)

qua_change = int(long_change.get('QUARTER_PERCENT',10000)*100)

week_change[code] = we_change

month_change[code] = mon_change

url = ['http://smartstock.gtimg.cn/get.php?_func=zhibiao&_default=1&_page=1&_pagesize=30&zhibiao=hs_sgcx', \

'http://smartstock.gtimg.cn/get.php?_func=zhibiao&_default=1&_page=1&_pagesize=30&zhibiao=hs_cjdx']

for i in url:

resp, content = http_request.request(i, "GET")

content = content[16:]

json_content = json.loads(content)

data = json_content.get('data')

for i in data:

sgcx_code.append(i['code'][2:])

lowest_codes = []

if persent:

for i in detail:

code = i['code']

price = price_now.get(code)

if not price:

continue

i['price'] = price

lowest = float(i['L'])

if (price - lowest) < lowest*persent/100:

lowest_codes.append(i['code'])

else:

for i in detail:

lowest_codes.append(i['code'])

reopen = []

with open('reopen.txt', 'r') as fb:

lines = fb.readlines()

for i in lines:

reopen.append(i.strip('\n'))

manager_reopen = list(set(manager_codes) & set(reopen))

print manager_reopen

for i in lowest_detail:

code = i['code']

if code in manager_reopen:

lowest = i['L']

price_hold = i['price']

lowest_percent_now = int(float(i['price'] - lowest) * 100 / lowest)

i['lowest_percent%_now'] = lowest_percent_now

profit_now = ((i['price'] / price_hold) *100 -100)

i['profit%_now'] = profit_now

# 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

lowest_codes = filte_lowest_from_google(lowest_detail, percent)

best = list(set(manager_buy_codes) & set(lowest_codes))

print 'Lowestnum: %d \n' % (len(lowest_codes))

print 'Lowest and manager buy num: %d \n' % (len(best))

if percent:

print "Buy stock today, lowest percentage manager buy:%d" % int(100.0/percent)

else:

print "Buy stock today, lowest from last year manager 5 days buy:"

for j in lowest_detail:

if j['code'] in best or j['code'] == '000960':

sale_price = j['price'] + (j['H'] - j['price'])/2

profit = int((sale_price / j['price'] -1)*100)

j['sale_price'] = sale_price

j['P%'] = profit

if not percent or percent == 30:

print json.dumps(j)

else:

print j['code']

#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]

with open('hot.txt', 'r') as fb:

lines = fb.readlines()

for i in lines:

code = i.strip()

# find lowest and manager increase hold

# lowest_detail = lowest_goole()

# manager_buy_codes, manager_buy_dict = manager_top(1)

for i in [10, 15, 20, 25, 30][::-1]:

# find lowest and manager increase hold

# lowest_detail = lowest_goole()

# manager_buy_codes, manager_buy_dict = manager_top(1)

lowest_codes = filte_lowest_from_google(lowest_detail, percent)

print 'buy lowest in this year:'

for j in lowest_detail:

if j['code'] in lowest_codes:

sale_price = j['price'] + (j['H'] - j['price'])/2

profit = int((sale_price / j['price'] -1)*100)

j['sale_price'] = sale_price

j['P%'] = profit

print json.dumps(j)

global lowest_google_detail

with open('lowest_google.txt','r') as fb:

lines = fb.readlines()[0]

lowest_google_detail = json.loads(lines)

read_lowest_google()

#short_sina()

#b_point_sina()

bull_sina()

sgcx_tencent()

#drop_east()

#rise_east()

#lowest_goole()

# manager_buy_codes, manager_buy_dict = manager_top(MANAGER_BUY)

# manager_buy_codes, manager_buy_dict = manager_top(MANAGER_BUY)

#new_manager_buy = list(set(record_709 + manager_buy_codes))

#manager_top(MANAGER_SALE, 30)

#stock_size_sina()

#in_flow_sina()

#turn_over_sina()

week_change_163()

#get_hot_baidu()

quantity_relative_ratio_163()

lowest_manager_sort()

# buy_lowest_manager_hold(lowest_detail, new_manager_buy)

# buy_lowest_manager_5day_hold(lowest_detail, manager_5day_buy_codes)

# bug_lowest_in_this_year(lowest_detail,10)

##manager_sale_codes, manager_sale_dict = manager_top(MANAGER_SALE)

#check_manager_transaction(MANAGER_BUY, manager_buy_codes)

check_manager_transaction(MANAGER_SALE)