def stk_get_sme_classified():
try:
conn = connMysql().createconn()
cur = conn.cursor()
cur.execute('truncate table stk_sme_classified;')
cur.close()
conn.close()
df = ts.get_sme_classified()
df.to_sql('stk_sme_classified', engine, if_exists='append')
except:
print("获取中小板数据失败")
def stk_basics():
print("\n =======获取股票列表============")
try:
df = ts.get_stock_basics()
conn = connMysql().createconn()
cur = conn.cursor()
cur.execute('truncate table stk_basics;')
cur.close()
conn.close()
df.to_sql('stk_basics', engine, if_exists='append')
except:
print("获取股票基本信息失败")
def stk_inst_tops(days=5,table = 'stk_inst_tops_ma5'):
print("\n插入数据：" + table)
try:
conn = connMysql().createconn()
cur = conn.cursor()
sql = 'truncate table ' + table + ';'
cur.execute(sql)
cur.close()
conn.close()
df = ts.inst_tops(days=days)
df.to_sql(table,engine,if_exists='append')
except:
print("\n收集机构席位追踪失败")
def bigTrade(code, dat=str(date.today())):
df = ts.get_sina_dd(code=code, date=dat, vol=600) # 默认400手
conn = connMysql().createconn()
conn.autocommit(True)
cur = conn.cursor()
sql = 'delete from stk_dadan_detail where code=' + '\'' + code + '\'' + ' and date=' + '\'' + dat + '\';'
cur.execute(sql)
try:
if (type(df) == pandas.core.frame.DataFrame):
df['date'] = dat
#print()
df.to_sql('stk_dadan_detail', engine, if_exists='append')
except:
print(code + ': 获取大单数据失败')
def stk_k_line_data(code):
print("\n获取K线数据：" + code)
conn = connMysql().createconn()
conn.autocommit(True)
cur = conn.cursor()
# sql = 'delete from stk_k_line_data where code=' + '\'' + code + '\'' + ' and date=' + '\'' + dat + '\';'
sql = 'delete from stk_k_line_data where code=' + '\'' + code + '\';'
#print(sql)
cur.execute(sql)
df = ts.get_hist_data(code=code)
try:
if (type(df) == pandas.core.frame.DataFrame):
df['code'] = code
# print(df)
df.to_sql('stk_k_line_data', engine, if_exists='append')
except:
print(code + '： 获取K线数据失败')
df['v_ma50'] = pd.rolling_mean(df['volume'], 50)
df['ma120'] = pd.rolling_mean(df['close'], 120)
df['v_ma120'] = pd.rolling_mean(df['volume'], 120)
df = df.fillna(0)
df.to_sql('stk_hist_data', engine, if_exists='append')
except Exception as e:
print("获取股票历史数据失败: " + str(stkcode) + str(e))
if (__name__ == '__main__'):
engine = create_engine(
'mysql+pymysql://root:[email protected]/tushare?charset=utf8')
# sql = 'delete from stk_hist_data where code = ' + '\'' + stkcode + '\';'
sql = 'truncate table stk_hist_data;'
conn = connMysql().createconn()
cur = conn.cursor()
cur.execute(sql)
cur.close()
conn.close()
stk_basics()
stkList = ts.get_stock_basics()
threads = []
x = 0
for stk in stkList.index:
# stk_get_hist_data(stkcode=stk)
try:
print(stk)
t = threading.Thread(target=stk_get_hist_data, args=(stk, ))
threads.append(t)
