mr-yoo

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

tickers = ["KRW-ADA", "KRW-LTC"]

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
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",