Tutorial

Overview Getting a KIS API key requires a Korea Investment & Securities account. This guide walks you through the entire process. Requirements Valid ID (passport for foreigners) Korean phone number OR Korea-based identity verification Bank account for funding Step 1: Create KIS Account Visit the Korea Investment & Securities website and select non-face-to-face account opening. For foreigners: Prepare your passport You may need to visit a branch in person depending on your nationality Some nationalities can complete the process online Step 2: Enable API Trading Log into HTS or the mobile app Go to the API application menu Agree to terms and conditions Select API type: Real trading or Paper trading (모의투자) Tip: Start with Paper trading to test your code before using real money. ...

What is pykrx? pykrx is an open-source Python library that pulls data from the KRX website. It is the easiest way to get Korean stock market data without needing a paid API. Installation pip install pykrx Basic Usage Get Stock Price History from pykrx import stock # Get Samsung Electronics (005930) price history df = stock.get_market_ohlcv_by_date("20240101", "20241231", "005930") print(df.head()) Get All KOSPI Tickers from pykrx import stock # Get all KOSPI tickers tickers = stock.get_market_ticker_list(market="KOSPI") print(f"Total KOSPI stocks: {len(tickers)}") # Get company name from ticker name = stock.get_market_ticker_name("005930") print(f"005930 = {name}") # Samsung Electronics Get Market Cap Data # Get market cap for all KOSPI stocks df = stock.get_market_cap_by_ticker("20241231", market="KOSPI") print(df.sort_values("시가총액", ascending=False).head(10)) Get Fundamental Data # Get PER, PBR, dividend yield df = stock.get_market_fundamental_by_ticker("20241231", market="KOSPI") print(df[["PER", "PBR", "DIV"]].head()) Building a Simple Screener from pykrx import stock def screen_low_per_stocks(market="KOSPI", max_per=10): today = "20241231" fundamentals = stock.get_market_fundamental_by_ticker(today, market=market) low_per = fundamentals[ (fundamentals["PER"] > 0) & (fundamentals["PER"] < max_per) ] low_per["name"] = [stock.get_market_ticker_name(t) for t in low_per.index] return low_per[["name", "PER", "PBR", "DIV"]].sort_values("PER") results = screen_low_per_stocks() print(results.head(20)) pykrx vs KIS API Comparison Feature pykrx KIS API Real-time data No Yes Historical data Yes Yes Order placement No Yes Cost Free Free (with account) Best for Research, backtesting Live trading