mr-yoo

import threading
import queue
import time
import pyupbit
import datetime
from collections import deque

class Consumer(threading.Thread):
    def __init__(self, q):
        super().__init__()

mr-yoo

import threading

# 전역 변수
r = 0

class Consumer(threading.Thread):        
    def run(self):        
        global r
        for _ in range(1000000):
            r += 1

mr-yoo

import pyupbit
import plotly.graph_objects as go 
from plotly.subplots import make_subplots
import time
import pandas as pd

def get_ohlcv(ticker):
    dfs = [ ]
    # df = pyupbit.get_ohlcv(ticker, interval="minute1", to="20210423 11:00:00")
    df = pyupbit.get_ohlcv(ticker, interval="minute1", to="20210414 23:00:00")

mr-yoo

import requests
from bs4 import BeautifulSoup
import time

for page in range(1, 6):
    url = f"https://www.fss.or.kr/fss/kr/bbs/list.jsp?url=/fss/kr/1207404857348&bbsid=1207404857348&page={page}"
    resp = requests.get(url)

    soup = BeautifulSoup(resp.text, 'html5lib')
    sel = "#contents_area > div.contents > table > tbody > tr > td.tit > a"

mr-yoo

import pyupbit

tickers = pyupbit.get_tickers(fiat="KRW")
price_data = pyupbit.get_current_price(tickers)

result = [ ]
for ticker, price in price_data.items():
    if price < 100:
        result.append(ticker)
print(result)

mr-yoo

import pyupbit
import matplotlib.pyplot as plt
import time
import pandas as pd

def short_trading_for_1percent(ticker):
    dfs = [ ]
    df = pyupbit.get_ohlcv(ticker, interval="minute1", to="20210414 23:00:00")
    dfs.append(df)

mr-yoo

import requests
import json
from pandas import DataFrame

url = "https://fchart.stock.naver.com/siseJson.nhn?symbol=005930&requestType=1&startTime=20190116&endTime=20210326&timeframe=day"
result = requests.post(url)

data = result.text.replace("'",  '"').strip()
data = json.loads(data)
print(type(data))

mr-yoo

import requests
from bs4 import BeautifulSoup

url = "https://www.petronet.co.kr/v3/jsp/pet/tra/KDXQ1900_l.jsp"

data = {
    "term": "m",
    "by": "2021",
    "bq": "1",
    "bm": "01",

mr-yoo

import requests
from bs4 import BeautifulSoup

url = "https://www.petronet.co.kr/v3/jsp/pet/tra/KDXQ1900_l.jsp?term=m&by=2021&bq=1&bm=01&ay=2021&aq=1&am=02&PriceCD=1&ProdCd=B0&Parameter=%3ABusisec%3D%271%27%2C%3APriceCD%3D%271%27%2C%3AFromDate%3D%27202101%27%2C%3AToDate%3D%27202102%27%2C%3AProdCD%3D%27%5C%27B0%5C%27+%27&InitialLoadFile=&ProdCDList=B0&ProdNMList=%C8%D6%B9%DF%C0%AF%2C%B5%EE%C0%AF%2C%B0%E6%C0%AF%2C%B0%E6%C1%FA%C1%DF%C0%AF%2C%C1%DF%C0%AF%2C%B9%E6%C4%ABC%C0%AF%2C%B3%B3%BB%E7%2C%BF%EB%C1%A6%2C%C7%D7%B0%F8%C0%AF%2CLPG%2C%BE%C6%BD%BA%C6%C8%C6%AE%2C%C0%B1%C8%B0%C0%AF%2C%B1%E2%C5%B8+%C1%A6%C7%B0%2C%BA%CE%BB%FD%BF%AC%B7%E1%C0%AF"
resp = requests.post(url)

soup = BeautifulSoup(resp.text, 'html5lib')
result = soup.select("#csvExportTable0 > tbody > tr > td:nth-child(2)")

for item in result:

mr-yoo

import asyncio

async def A(q):
    num1 = 3
    num2 = await q.get()
    if num1 < num2:
        print("OK")

async def B(q):
    num2 = 5