def get_best(stockid): # 檢查是否符合四大買賣點
stock = twstock.Stock(stockid)
bp = twstock.BestFourPoint(stock).best_four_point()
if (bp):
return ('買進' if bp[0] else '賣出', bp[1]) #←傳回買進或賣出的建議
else:
return (False, False) #←都不符合
def get_best(stockid):
stock = twstock.Stock(str(stockid))
bp = twstock.BestFourPoint(stock).best_four_point()
if (bp):
return (str(stockid), '買進' if bp[0] else '賣出', bp[1])
else:
return (False, False)
def real_time_query_worker(realtime_list, bfp_list, idx, stock_id):
realtime_list[idx] = float(
twstock.realtime.get(stock_id)['realtime']['latest_trade_price'])
bfp = twstock.BestFourPoint(twstock.Stock(stock_id)).best_four_point()
if bfp:
bfp_list[idx] = 'B' if bfp[0] else 'S'
else:
bfp_list[idx] = ""
def parse_data(self, data, stock):
try:
if not data['success']:
return 'error'
company_name = data['info']['name']
company_code = data['info']['code']
latest_trade_price = data['realtime']['latest_trade_price']
open_price = data['realtime']['open']
best_bid_price = data['realtime']['best_bid_price']
best_bid_volume = data['realtime']['best_bid_volume']
best_ask_price = data['realtime']['best_ask_price']
best_ask_volume = data['realtime']['best_ask_volume']
result = company_name + ' (' + company_code + ')\n'
result = result + '即時價格: ' + latest_trade_price + '\n開盤價: ' + open_price + '\n'
bfp = twstock.BestFourPoint(stock)
strategy = bfp.best_four_point()
if strategy != None:
if strategy[0] == True:
result = result + '買,'
else:
result = result + '賣, '
result = result + strategy[1] + '\n'
#result = result + '買'.center(PRICE_LENGTH + VOLUME_LEHGTH - 1, '-') + '\n'
#for i in range(5):
# result = result + \
# best_bid_volume[i].ljust(PRICE_LENGTH, ' ') + \
# best_bid_price[i].rjust(VOLUME_LEHGTH, ' ') + \
# '\n'
#result = result + '賣'.center(PRICE_LENGTH + VOLUME_LEHGTH - 1, '-') + '\n'
#for i in range(5):
# result = result + \
# best_ask_volume[i].ljust(PRICE_LENGTH, ' ') + \
# best_ask_price[i].rjust(VOLUME_LEHGTH, ' ') + \
# '\n'
return result
#print(company_name + ' (' + company_code + ')')
#print('即時價格: ' + latest_trade_price + ', 開盤價: ' + open_price)
#print('買'.center(PRICE_LENGTH + VOLUME_LEHGTH, '-') + '|' + '賣'.center(PRICE_LENGTH + VOLUME_LEHGTH, '-'))
#for i in range(5):
# print(best_bid_price[i].ljust(PRICE_LENGTH, ' ') + \
# best_bid_volume[i].rjust(VOLUME_LEHGTH) + \
# ' ' + \
# best_ask_price[i].ljust(PRICE_LENGTH, ' ') + \
# best_ask_volume[i].rjust(VOLUME_LEHGTH, ' '))
except:
return 'data error'
def stock_interest
if StockNews=="1":
print(Stockdata.price)
elif StockNews=="2":
print(Stockdata.high)
# print(Stockdata.high[30:31])
# one=Stockdata.price
# one1=min(one)
# print(one1)
elif StockNews=="3":
averagedata=str(input("請輸入幾天內的平均交易量:"))
print(Stockdata.moving_average(Stockdata.capacity,averagedata))
# print(Stockdata.moving_average(Stockdata.capacity,5))
elif StockNews=="4":
print(Stockdata.ma_bias_ratio(5,20))
elif StockNews=="5":
print("\n穩定成長公司、ETF\n不適合長時間盤整\n適合多頭趨勢的股票\n當KD<20可買進，KD>80及賣出")
TodayPrice=Stockdata.price[30:31] #今日收盤
TodayPrice0=TodayPrice[0]
# print(TodayPrice0)
NineDayLowList=Stockdata.price[23:31] #近9天內最低價
NineDayLowMin=min(NineDayLowList)
# print(NineDayLowMin)
NineDayLowList2=Stockdata.price[23:31] #近9天最高價
NineDayLowMax=max(NineDayLowList2)
# print(NineDayLowMax)
KD=((TodayPrice0)-(NineDayLowMin))/((NineDayLowMax)-(NineDayLowMin))*100
print(data,"KD值為:",KD)
elif StockNews=="6":
MACD0=Stockdata.price[26:31]
MACD11=(sum(MACD0)/len(MACD0))
# print(MACD11)
MACD1=Stockdata.price[11:31]
MACD31=(sum(MACD1)/len(MACD1))
# print(MACD31)
if MACD0>MACD1:
print("弱勢盤；做空")
elif MACD0==MACD1:
print("平盤 ; 觀望")
else:
print("起頭盤 ; 做多")
elif StockNews=="7":
StockBFP=twstock.BestFourPoint(Stockdata)
StockBFP_to_buy=StockBFP.best_four_point_to_buy()
print("四大買點:量大收紅、量縮價不跌、三日均價由下往上、三日均價大於六日均價，符合: ",StockBFP_to_buy)
StockBFP_to_sell=StockBFP.best_four_point_to_sell()
print("四大賣點:量大收黑、量縮價跌、三日均價由上往下、三日均價小於六日均價，符合: ",StockBFP_to_sell)
else:
print("無效輸入")
def get_best(stockid):
stock = twstock.Stock(stockid)
bp = twstock.BestFourPoint(stock)
if bp != None:
if bp.best_four_point()[0] == True:
return ('買進', bp.best_four_point()[1])
else:
return ('賣出', bp.best_four_point()[1])
else:
return (False, False)
def on_enter_show_technical(self, event):
global stock_number
stock = twstock.Stock(stock_number)
bfp = twstock.BestFourPoint(stock)
comment = bfp.best_four_point_to_buy()
reply_token = event.reply_token
send_text_message(
reply_token,
'請至以下網址查詢： \n' + 'https://tw.stock.yahoo.com/q/ta?s=' +
str(stock_number) + '\n簡評：' + str(comment) + '\n\n輸入「早安」回到主選單')
self.go_back()
def get_best(stock_id): #參數:股票代碼 回傳:建議(買/賣)、建議資訊
stock = twstock.Stock(stock_id) #以股票代碼建立Stock物件
bp = twstock.BestFourPoint(stock).best_four_point()
'''回傳檢測四大買賣點資訊給bp
bp為tuple型態,若適合買進bp[0]為True,否則為False
bp[1]則是建議買/賣的原因(字串)'''
if (bp):
return ('買進' if bp[0] else '賣出', bp[1])
else:
return (False, False)
def run(argv):
print('四大買賣點判斷 Best Four Point')
print('------------------------------')
for sid in argv:
bfp = twstock.BestFourPoint(twstock.Stock(sid))
bfp = bfp.best_four_point()
print('%s: ' % (sid), end='')
if bfp:
if bfp[0]:
print('Buy ', bfp[1])
else:
print('Sell ', bfp[1])
else:
print("Don't touch")
def get_four_best(stockid):
try:
print("等個15秒鐘~泡杯咖啡")
time.sleep(15)
stock = twstock.Stock(stockid)
best = twstock.BestFourPoint(stock).best_four_point()
if best:
if best[0]:
info = "買進: "
else:
info = "賣出: "
return (info, best[1])
else:
return (False, False)
except Error:
send_ifttt(stockid, "0.0", "程式出現錯誤")
print(Error)
def handle_message(event):
#line_webhookverify
if (event.reply_token == ("00000000000000000000000000000000"
or "ffffffffffffffffffffffffffffffff")):
print("webhook verify")
return
if (event.message.text == '個股即時價格和最佳五檔'):
line_bot_api.reply_message(
event.reply_token,
TextSendMessage(text="歡迎來到股票價格查詢\n請輸入股票代號(0~99999)"))
elif (event.message.text == '個股健檢'):
line_bot_api.reply_message(event.reply_token,
TextSendMessage(text="歡迎來到股票健檢\n請輸入股票正確名稱"))
elif (event.message.text == '免責聲明'):
line_bot_api.reply_message(
event.reply_token,
TextSendMessage(
text=
"免責聲明: 投資涉及風險，證券價格有時會大幅波動，價格可升亦可跌，更可變 得毫無價值。投資未必一定能夠賺取利潤，反而可能會招致損失，往績數字並非 未來表現的指標。投資前應先閱讀有關產品的發售文件、財務及相關的風險聲明， 並應就本身的財政、其他狀況及需要詳細考慮並考慮決定投資是否切合本身特定 的投資需要。若有需要更應諮詢獨立之法律、稅務、財政及其他專業意見，方可 作出有關投資決定。"
))
elif (event.message.text == '績效上傳區'):
line_bot_api.reply_message(event.reply_token,
TextSendMessage(text="上傳績效圖幫你存起來"))
#功能1即時報價
#stock代號0~100000
elif (event.message.text.isnumeric() and int(event.message.text) > 0
and int(event.message.text) < 99999):
#取得即時資料並檢查有無此股票
realtime = twstock.realtime.get(event.message.text)
if (realtime['success'] != True):
line_bot_api.reply_message(event.reply_token,
TextSendMessage(text="查無此股票"))
return
else:
line_bot_api.reply_message(event.reply_token, [
TextSendMessage(text=realtime['info']['name'] + "的即時報價:" +
realtime['realtime']['latest_trade_price']),
TextSendMessage(text="最佳五檔\n" + "買價" +
str(realtime['realtime']['best_bid_price']) +
"\n賣價" +
str(realtime['realtime']['best_ask_price']))
])
#功能2個股健檢
elif (event.message.text in stock_list):
stock_num = stock_list[event.message.text]
#取得即時資料並檢查有無此股票
realtime = twstock.realtime.get(stock_num)
if (realtime['success'] != True):
line_bot_api.reply_message(event.reply_token,
TextSendMessage(text="查無此股票"))
return
#取得歷史資料和五日資料
history = twstock.Stock(stock_num)
bfp = list(twstock.BestFourPoint(history).best_four_point())
if bfp[0] == True:
bfp[0] = "推薦買多，原因:"
elif bfp[0] == False:
bfp[0] = "推薦放空，原因:"
else:
bfp[0] = ["不要動最好"]
fiveprice = [str(history.price[i]) for i in range(-1, -6, -1)]
line_bot_api.reply_message(
event.reply_token,
TextSendMessage(text=realtime['info']['name'] + "[" +
realtime['info']['channel'] + "]" + "近五日價格為\n" +
str(',\t'.join(fiveprice)) + "\n" + ' '.join(bfp)))
return
#功能3免責聲明
#功能4績效上傳區
elif event.message.text == "看看大家都傳了什麼圖片":
client = ImgurClient(client_id, client_secret)
images = client.get_album_images(album_id)
index = random.randint(0, len(images) - 1)
url = images[index].link
image_message = ImageSendMessage(original_content_url=url,
preview_image_url=url)
line_bot_api.reply_message(event.reply_token, image_message)
return
#功能展開
elif event.message.text == "開始玩":
buttons_template = TemplateSendMessage(
alt_text='目錄 template',
template=ButtonsTemplate(
title='選擇服務',
text='請選擇',
thumbnail_image_url='https://i.imgur.com/OwDxdjw.jpg',
actions=[
MessageTemplateAction(label='個股即時價格和最佳五檔',
text='個股即時價格和最佳五檔'),
MessageTemplateAction(label='個股健檢', text='個股健檢'),
MessageTemplateAction(label='免責聲明', text='免責聲明'),
MessageTemplateAction(label='看看大家都傳了什麼圖片',
text='看看大家都傳了什麼圖片')
]))
line_bot_api.reply_message(event.reply_token, buttons_template)
#預設
else:
buttons_template = TemplateSendMessage(
alt_text='目錄 template',
template=ButtonsTemplate(
title='選擇服務',
text='請選擇',
thumbnail_image_url='https://i.imgur.com/OwDxdjw.jpg',
actions=[
MessageTemplateAction(label='開始玩', text='開始玩'),
URITemplateAction(label='影片介紹',
uri='https://www.youtube.com'),
URITemplateAction(
label='github原始碼',
uri='https://github.com/markpengisme/Python'),
URITemplateAction(label='聯絡作者',
uri='https://www.facebook.com/arrnoldc')
]))
line_bot_api.reply_message(event.reply_token, buttons_template)
import twstock
stock = twstock.Stock('2330')
bfp = twstock.BestFourPoint(stock)
#%%
print ('bfp.best_four_point_to_buy')
print (bfp.best_four_point_to_buy())
print ('bfp.best_four_point_to_sell')
print (bfp.best_four_point_to_sell())
print ('bfp.best_four_point')
print (bfp.best_four_point())
print (stock.moving_average(stock.price,3))
print ('--------')
print (stock.moving_average(stock.price,6))
#print (stock.price[-5:]) # 近五日之收盤價
def BestFourPoint(self):
bfp = twstock.BestFourPoint(self.stock)
self.Result = [bfp.best_four_point_to_buy()]
self.Result.append(bfp.best_four_point_to_sell())
self.Result.append(bfp.best_four_point())
def callback_yangbot8():
signature = request.headers['X-Line-Signature']
# get request body as text
body = request.get_data(as_text=True)
app.logger.info("Request body: " + body)
# parse webhook body
try:
events = parser_8.parse(body, signature)
except InvalidSignatureError:
abort(400)
for event in events:
if not isinstance(event, MessageEvent): # 判斷是否為訊息事件
continue
if not isinstance(event.message, TextMessage): # 判斷是否為文字
continue
text = event.message.text
#userId = event['source']['userId']
if (text.lower() == 'me'):
content = str(event.source.user_id)
line_bot_api_8.reply_message(event.reply_token,
TextSendMessage(text=content))
elif (text.lower() == 'profile'):
profile = line_bot_api_8.get_profile(event.source.user_id)
my_status_message = profile.status_message
if not my_status_message:
my_status_message = '-'
line_bot_api_8.reply_message(event.reply_token, [
TextSendMessage(text='Display name: ' + profile.display_name),
TextSendMessage(text='picture url: ' + profile.picture_url),
TextSendMessage(text='status_message: ' + my_status_message),
])
elif (text.startswith('#')):
text = text[1:]
content = ''
stock_rt = twstock.realtime.get(text)
my_datetime = datetime.fromtimestamp(stock_rt['timestamp'] +
8 * 60 * 60)
my_time = my_datetime.strftime('%H:%M:%S')
content += '%s (%s) %s\n' % (stock_rt['info']['name'],
stock_rt['info']['code'], my_time)
content += '現價: %s / 開盤: %s\n' % (
stock_rt['realtime']['latest_trade_price'],
stock_rt['realtime']['open'])
content += '最高: %s / 最低: %s\n' % (stock_rt['realtime']['high'],
stock_rt['realtime']['low'])
content += '量: %s\n' % (
stock_rt['realtime']['accumulate_trade_volume'])
stock = twstock.Stock(text) # twstock.Stock('2330')
content += '-----\n'
content += '最近五日價格: \n'
price5 = stock.price[-5:][::-1]
date5 = stock.date[-5:][::-1]
for i in range(len(price5)):
#content += '[%s] %s\n' %(date5[i].strftime("%Y-%m-%d %H:%M:%S"), price5[i])
content += '[%s] %s\n' % (date5[i].strftime("%Y-%m-%d"),
price5[i])
line_bot_api_8.reply_message(event.reply_token,
TextSendMessage(text=content))
elif (text.startswith('/')):
text = text[1:]
fn = '%s.png' % (text)
stock = twstock.Stock(text)
my_data = {
'close': stock.close,
'date': stock.date,
'open': stock.open
}
df1 = pd.DataFrame.from_dict(my_data)
df1.plot(x='date', y='close')
plt.title('[%s]' % (stock.sid))
plt.savefig(fn)
plt.close()
# -- upload
# imgur with account: [email protected]
client_id = os.environ.get("IMGUR_ID")
client_secret = os.environ.get("IMGUR_SECRET")
client = ImgurClient(client_id, client_secret)
print("Uploading image... ")
image = client.upload_from_path(fn, anon=True)
print("Done")
url = image['link']
image_message = ImageSendMessage(original_content_url=url,
preview_image_url=url)
line_bot_api_8.reply_message(event.reply_token, image_message)
elif (text.startswith('$')):
text = text[1:]
print(text)
stock = twstock.Stock(text)
bfp = twstock.BestFourPoint(stock)
print(bfp.best_four_point())
content = "建議做多，因為:\n" if bfp.best_four_point(
)[0] else "建議放空，因為:\n"
content += bfp.best_four_point()[1]
line_bot_api_8.reply_message(event.reply_token,
TextSendMessage(text=content))
else:
content = "歡迎使用STOCK股票小精靈!( ^ω^)\n基礎功能請輸入:\n#股票代號 查詢即時股價。\n/股票代號 觀看股票線圖。\n$股票代號 觀看簡單分析。"
line_bot_api_8.reply_message(event.reply_token,
TextSendMessage(text=content))
return 'OK'
