def sendConcernedStkPicToSelf_V2():
"""
将自己关心的数据打印出图，发送到qq
相较于之前版本，本次改进为：
1、使用json文件中的code列表代替数据库中的列表
2、进行判断，出发发送条件再予以发送
:return:
"""
towho = '影子2'
send_qq(towho, '以下是已入的stk的形势图：')
code_list = read_config()['buy_stk']
for x in code_list + ['sh', 'sz', 'cyb']:
df = get_k_data_JQ(x, 400)
fig, _ = genStkPicForQQ(df)
plt.title(str(x))
send_pic_qq(towho, fig)
# plt.show()
plt.close()
fig, _ = genStkIdxPicForQQ(df)
plt.title(str(x))
send_pic_qq(towho, fig)
# plt.show()
plt.close()
send_W_M_MACD(x, towho)
def sendConcernedStkPicToSelf_T():
"""
将自己关心的数据打印出图，发送到qq
:return:
"""
towho = '影子2'
send_qq(towho, '以下是已入的stk的形势图：')
stk_buy = read_config()['buy_stk']
for x in stk_buy + ['sh', 'sz', 'cyb']:
df = get_k_data_JQ(x, 400)
fig, _, attention = genStkPicForQQ(df, x)
if attention:
send_pic_qq(towho, fig)
send_W_M_MACD(x, towho)
plt.close()
# 打印第二张套图
fig, _, attention = genStkIdxPicForQQ(df, x)
if attention:
send_pic_qq(towho, fig)
plt.close()
def calRSVRank(stk_code, Mdays, history_length=400):
df = get_k_data_JQ(stk_code,
count=history_length,
end_date=get_current_date_str())
# 移动平均线+RSV（未成熟随机值）
M = Mdays
df['low_M' + str(M)] = df['low'].rolling(window=M).mean()
df['high_M' + str(M)] = df['high'].rolling(window=M).mean()
df['close_M' + str(M)] = df['close'].rolling(window=M).mean()
for idx in df.index:
if (df.loc[idx, 'high_M' + str(M)] - df.loc[idx, 'low_M' + str(M)]
== 0) | (df.loc[idx, 'close_M' + str(M)] -
df.loc[idx, 'low_M' + str(M)] == 0):
df.loc[idx, 'RSV'] = 0.5
else:
df.loc[idx, 'RSV'] = (df.loc[idx, 'close_M' + str(M)] -
df.loc[idx, 'low_M' + str(M)]) / (
df.loc[idx, 'high_M' + str(M)] -
df.loc[idx, 'low_M' + str(M)])
# df['RSV'] = df.apply(lambda x: (x['close_M'+str(M)] - x['low_M'+str(M)])/(x['high_M'+str(M)] - x['low_M'+str(M)]), axis=1)
return df.tail(1)['RSV'].values[0]
def calRelaPLevel(stk_list, period, towho):
"""
计算相对价格，并发送到qq
:param stk_list:
:return:
"""
r = [
(x, cal_stk_p_level(np.array(get_k_data_JQ(stk_code=x, start_date=add_date_str(get_current_date_str(), period))['close']))['total_last'])
for x in stk_list]
r_df = pd.DataFrame(data=r, columns=['code', 'level'])
sendPLevel2QQ(r_df, towho)
def printStkListPic2QQ(code_list, towho, title=None):
if title is not None:
title_str = title
else:
title_str = ''
for x in code_list:
df = get_k_data_JQ(x, 400)
fig, _ = genStkPicForQQ(df)
plt.title(str(x) + title_str)
send_pic_qq(towho, fig)
plt.close()
fig, _ = genStkIdxPicForQQ(df)
plt.title(str(x) + title_str)
send_pic_qq(towho, fig)
plt.close()
def sendMainIndexStkPic2Public():
"""
将自己关心的数据打印出图，发送到qq
:return:
"""
for x in ['sh', 'sz', 'cyb']:
df = get_k_data_JQ(x, 400)
fig, _ = genStkPicForQQ(df)
plt.title(str(x))
send_pic_qq('大盘上涨概率公示', fig)
plt.close()
fig, _ = genStkIdxPicForQQ(df)
plt.title(str(x))
send_pic_qq('大盘上涨概率公示', fig)
plt.close()
