def target_change_strategy(self, symbol_id, rise_target_change,
drop_target_change):
message = intraday.quote(apiToken=self.api_token,
symbolId=symbol_id,
output='raw')
current_price = message['trade']['price']
symbol_info = intraday.meta(symbolId=symbol_id,
apiToken=self.api_token,
output='raw')
adjust_open = symbol_info['priceReference']
if (current_price - adjust_open) / adjust_open > rise_target_change:
self.lineNotifyMessage('快訊！' + symbol_id + '漲幅已經高過' +
str(rise_target_change * 100) + '%\n' +
'https://www.fugle.tw/trade?symbol_id=' +
symbol_id + '&openExternalBrowser=1')
elif (current_price - adjust_open) / adjust_open < -drop_target_change:
self.lineNotifyMessage('快訊！' + symbol_id + '跌幅已經低過' +
str(drop_target_change * 100) + '%\n' +
'https://www.fugle.tw/trade?symbol_id=' +
symbol_id + '&openExternalBrowser=1')
else:
pass
return current_price, adjust_open
def getClickButtonData(bot, update):
data = intraday.meta(apiToken=api_token, symbolId=num, output='raw')
if update.callback_query.data == 'info':
if 'industryZhTw' in data:
text = ('產業別：' + data['industryZhTw'] + '\n' + '交易幣別：' +
data['currency'] + '\n' + '股票中文簡稱：' + data['nameZhTw'] +
'\n' + '開盤參考價：' + str(data['priceReference']) + '\n' +
'漲停價：' + str(data['priceHighLimit']) + '\n' + '跌停價：' +
str(data["priceLowLimit"]) + '\n' + '股票類別：' +
data['typeZhTw'])
else:
text = ('交易幣別：' + data['currency'] + '\n' + '股票中文簡稱：' +
data['nameZhTw'] + '\n' + '開盤參考價：' +
str(data['priceReference']) + '\n' + '漲停價：' +
str(data['priceHighLimit']) + '\n' + '跌停價：' +
str(data["priceLowLimit"]) + '\n' + '股票類別：' +
data['typeZhTw'])
update.callback_query.message.reply_text(text)
if update.callback_query.data == 'trade':
df2 = intraday.quote(apiToken=api_token, symbolId=num, output='raw')
df3 = df2['trade']
text = ('• ' + data['nameZhTw'] + '(' + num + ')' + '最新一筆交易：' + '\n' +
'成交價：' + str(df3['price']) + '\n' + '成交張數：' +
str(df3['unit']) + '\n' + '成交量：' + str(df3['volume']) + '\n' +
'成交序號：' + str(df3['serial']))
update.callback_query.message.reply_text(text)
def get_first_quote_data(self, symbol_id):
message = intraday.quote(apiToken=self.api_token,
symbolId=symbol_id,
output='raw')
ask = message['order']['bestAsks']
ask.reverse()
df_ask = pd.DataFrame(ask,
columns=['price', 'unit'
]).rename(columns={'unit': 'ask_unit'})
bid = message['order']['bestBids']
bid.reverse()
df_bid = pd.DataFrame(bid,
columns=['unit', 'price'
]).rename(columns={'unit': 'bid_unit'})
df_quote = pd.merge(df_ask, df_bid, on='price', how='outer')
df_quote = df_quote[['bid_unit', 'price', 'ask_unit']]
price_list = list(df_quote['price'])
return df_quote, price_list
def target_price_strategy(self, symbol_id, rise_target_price, drop_target_price):
message = intraday.quote(apiToken= self.api_token, symbolId=symbol_id, output='raw')
current_price = message['trade']['price']
if current_price > rise_target_price:
self.lineNotifyMessage('快訊！' + symbol_id + '價格已經高過' + str(rise_target_price) + '元\n'+
'https://www.fugle.tw/trade?symbol_id=' + symbol_id + '&openExternalBrowser=1')
elif current_price < drop_target_price:
self.lineNotifyMessage('快訊！' + symbol_id + '價格已經跌破' + str(drop_target_price) + '元\n'+
'https://www.fugle.tw/trade?symbol_id=' + symbol_id + '&openExternalBrowser=1')
else:
pass
def _get_best_five(self, symbol_id):
quote = intraday.quote(apiToken=self.api_token, symbolId=symbol_id)
temp = ['此為【' + symbol_id + '】的最佳五檔\n', '◆ bestAsks：\n']
for i in range(5):
temp.append('價格：' + str(quote['order.bestAsks'][0][i]['price']) +
' 張數' + str(quote['order.bestAsks'][0][i]['unit']) +
'\n')
temp.append('◆ bestBids：\n')
for j in range(5):
temp.append('價格：' + str(quote['order.bestBids'][0][j]['price']) +
' 張數' + str(quote['order.bestBids'][0][j]['unit']) +
'\n')
reply = ''
for k in temp:
reply = reply + '{}'.format(k)
return reply
def best5(bot, update):
s = intraday.quote(apiToken=api_token, symbolId=str(aa[0]),
output="raw")['order']
s1 = s['bestAsks']
s2 = s['bestBids']
for i in range(0, len(s1)):
a.append(s1[i]['price'])
b.append(s1[i]['unit'])
for i in range(0, len(s2)):
c.append(s2[i]['price'])
d.append(s2[i]['unit'])
aaa = "bestAsks" + "\n" + "price" + str(a) + "\n" + "unit" + str(b)
bbb = 'bestBids' + "\n" + "price" + str(c) + "\n" + "unit" + str(d)
update.message.reply_text(aaa)
update.message.reply_text(bbb)
def serv_top_share(self):
"""
To get the best 5 sell and buy price by share number.
"""
print('【serv_top_share】')
# Check whether has share number in memory
if self.temp_share_no:
share_data = intraday.quote(apiToken=FUGLE_API_TOKEN,
symbolId=self.temp_share_no,
output='raw')['order']
# Creat Template For ask bid price
text_ask = "您好 😁，菜雞偷了Fugle的最佳5檔機密，請參考！\n 最佳五檔（買價）：\n"
text_bid = "您好 😁，菜雞偷了Fugle的最佳5檔機密，請參考！\n 最佳五檔（賣價）：\n"
# Build Specific Text
count = 1
for ask, bid in zip(share_data['bestAsks'],
share_data['bestBids']):
temp_ask = '➡' + str(count) + '.價格: ' + str(
ask['price']) + ' 交易張數：' + str(
ask['unit']) + ' 交易量：' + str(ask['volume']) + "\n "
temp_bid = '➡' + str(count) + '.價格: ' + str(
bid['price']) + ' 交易張數：' + str(
bid['unit']) + ' 交易量：' + str(bid['volume']) + "\n "
text_ask = text_ask + "{}".format(temp_ask)
text_bid = text_bid + "{}".format(temp_bid)
count += 1
# Send message by List
for send_content in [text_ask, text_bid]:
self.out_msg = send_content
success = self.send_message()
# Save Temp Data
self.temp_msg = [text_ask, text_bid]
else:
self.out_msg = self.temp_msg = "抱歉，菜雞不懂您 🙃，無法得知您想瞭解的股票！請您重新輸入！"
self.prev_action = "serv_top_share"
success = self.send_message()
return success
def ButtonCallback_handler(bot, update):
order, sid = update.callback_query.data.split(' ')
user_name = update.callback_query.from_user.first_name + update.callback_query.from_user.last_name # update.message.from_user.first_name
user_id = update.callback_query.from_user.id
if order == 'stock':
text = self.get_stock_info(num=str(sid))
url = 'https://www.fugle.tw/ai/{}?'.format(sid)
button = InlineKeyboardMarkup(
[[
InlineKeyboardButton(
'更多基本資訊', callback_data='info {}'.format(sid)),
InlineKeyboardButton(
'最新一筆交易', callback_data='trade {}'.format(sid))
],
[
InlineKeyboardButton(
'推薦相關股票',
callback_data='recommend {}'.format(sid)),
InlineKeyboardButton('前往網站', url=url)
]])
bot.send_message(
user_id,
text,
# reply_to_message_id = update.message.message_id,
reply_markup=button)
if order == 'recommend':
try:
result = self.call_m3(stock_id=int(sid))
text = self.get_stock_info(num=str(result))
url = 'https://www.fugle.tw/ai/{}?'.format(result)
button = InlineKeyboardMarkup(
[[
InlineKeyboardButton(
'更多基本資訊',
callback_data='info {}'.format(result)),
InlineKeyboardButton(
'最新一筆交易',
callback_data='trade {}'.format(result))
],
[
InlineKeyboardButton(
'推薦相關股票',
callback_data='recommend {}'.format(result)),
InlineKeyboardButton('前往網站', url=url)
]])
bot.send_message(user_id,
text,
reply_to_message_id=update.callback_query.
message.message_id,
reply_markup=button)
self.logger.info("user_name{} | respond_text:{}".format(
user_name, text))
except:
update.message.reply_text('請輸入存在的股票id。 \nex:6456、4552')
self.logger.info('m3 - uid error')
if order == 'info':
data = intraday.meta(
apiToken=self.config['FUGLE']['fugle_TOKEN'],
symbolId=sid,
output='raw')
# data = intraday.meta(apiToken=Bot.config['FUGLE']['fugle_TOKEN'] , symbolId='0050' , output='raw')
try:
if 'industryZhTw' in data:
text = ('【' + data['nameZhTw'] + '(' + sid + ')' +
' 基本資訊】 \n ⦁ 產業別：' + data['industryZhTw'] +
'\n ⦁ 交易幣別：' + data['currency'] +
'\n ⦁ 股票中文簡稱：' + data['nameZhTw'] +
'\n ⦁ 開盤參考價：' + str(data['priceReference']) +
'\n ⦁ 漲停價：' + str(data['priceHighLimit']) +
'\n ⦁ 跌停價：' + str(data["priceLowLimit"]) +
'\n ⦁ 股票類別：' + data['typeZhTw'])
else:
text = ('【' + data['nameZhTw'] + '(' + sid + ')' +
' 基本資訊】 \n ⦁ 交易幣別：' + data['currency'] +
'\n ⦁ 股票中文簡稱：' + data['nameZhTw'] +
'\n ⦁ 開盤參考價：' + str(data['priceReference']) +
'\n ⦁ 漲停價：' + str(data['priceHighLimit']) +
'\n ⦁ 跌停價：' + str(data["priceLowLimit"]) +
'\n ⦁ 股票類別：' + data['typeZhTw'])
except:
text = '查無此代碼'
update.callback_query.message.reply_text(text)
if order == 'trade':
data = intraday.meta(
apiToken=self.config['FUGLE']['fugle_TOKEN'],
symbolId=sid,
output='raw')
dt = intraday.quote(
apiToken=self.config['FUGLE']['fugle_TOKEN'],
symbolId=sid,
output='raw')
# intraday.quote(apiToken=Bot.config['FUGLE']['fugle_TOKEN'], symbolId=num, output='raw')
if 'trade' in dt.keys():
trade = dt['trade']
text = ('【' + data['nameZhTw'] + '(' + sid + ')' +
' 最新一筆交易】 \n' + ' ⦁ 成交價：' + str(trade['price']) +
'\n ⦁ 成交張數：' + str(trade['unit']) + '\n ⦁ 成交量：' +
str(trade['volume']) + '\n ⦁ 成交序號：' +
str(trade['serial']))
else:
text = '查無最新資訊'
update.callback_query.message.reply_text(text)
def test_intraday_quote_output_raw():
quote = intraday.quote(output="raw")
assert type(quote) is dict
def test_intraday_quote_output_dataframe():
quote = intraday.quote(output="dataframe")
assert type(quote) is DataFrame
def test_intraday_quote_output():
with raises(ValueError) as excinfo:
intraday.quote(output="")
assert excinfo.type is ValueError
assert str(excinfo.value) == 'output must be one of ["dataframe", "raw"]'
def test_intraday_quote():
quote = intraday.quote()
assert type(quote) is DataFrame
