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podongchip/kospi-daily-stock-features-2021-2026

KOSPI Stocks Daily Data with Technical & Macro Features ๐Ÿ‡ฐ๐Ÿ‡ท ํ•œ๊ตญ์–ด / ๐Ÿ‡บ๐Ÿ‡ธ English 2021๋…„๋ถ€ํ„ฐ 2026๋…„๊นŒ์ง€ KOSPI 948๊ฐœ ์ข…๋ชฉ์˜ ์ผ๋ณ„ ์‹œ์„ธ์— ๊ธฐ์ˆ ์  ์ง€ํ‘œยท๊ฑฐ์‹œ์ง€ํ‘œยทํˆฌ์ž์ž ์ˆ˜๊ธ‰์„ ๊ฒฐํ•ฉํ•œ ๋จธ์‹ ๋Ÿฌ๋‹ ํ•™์Šต์šฉ ํ•œ๊ตญ ์ฃผ์‹ ๋ฐ์ดํ„ฐ์…‹์ž…๋‹ˆ๋‹ค. A machine-learningโ€“ready Korean stock dataset combining daily prices of 948 KOSPI stocks with technical indicators, macro variables, and investor flows, covering 2021 to 2026. ๐Ÿ“Š Contents 1,214,339 rows / 121๋งŒ ํ–‰ (948 stocks / 948๊ฐœ ์ข…๋ชฉ) Period / ๊ธฐ๊ฐ„: 2021-01-04 ~ 2026-05-29 (์•ฝ 5.4๋…„) 60 columns / 60๊ฐœ ์ปฌ๋Ÿผโ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/podongchip/kospi-daily-stock-features-2021-2026.

sourceHugging Facecc-by-nc-4.0updated 2mo agoView on Hugging Face
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KOSPI Stocks Daily Data with Technical & Macro Features

๐Ÿ‡ฐ๐Ÿ‡ท ํ•œ๊ตญ์–ด / ๐Ÿ‡บ๐Ÿ‡ธ English

2021๋…„๋ถ€ํ„ฐ 2026๋…„๊นŒ์ง€ KOSPI 948๊ฐœ ์ข…๋ชฉ์˜ ์ผ๋ณ„ ์‹œ์„ธ์— ๊ธฐ์ˆ ์  ์ง€ํ‘œยท๊ฑฐ์‹œ์ง€ํ‘œยทํˆฌ์ž์ž ์ˆ˜๊ธ‰์„ ๊ฒฐํ•ฉํ•œ ๋จธ์‹ ๋Ÿฌ๋‹ ํ•™์Šต์šฉ ํ•œ๊ตญ ์ฃผ์‹ ๋ฐ์ดํ„ฐ์…‹์ž…๋‹ˆ๋‹ค.

A machine-learningโ€“ready Korean stock dataset combining daily prices of 948 KOSPI stocks with technical indicators, macro variables, and investor flows, covering 2021 to 2026.


๐Ÿ“Š Contents

  • โ€”1,214,339 rows / 121๋งŒ ํ–‰ (948 stocks / 948๊ฐœ ์ข…๋ชฉ)
  • โ€”Period / ๊ธฐ๊ฐ„: 2021-01-04 ~ 2026-05-29 (์•ฝ 5.4๋…„)
  • โ€”60 columns / 60๊ฐœ ์ปฌ๋Ÿผ
Group / ๊ตฌ๋ถ„Columns / ์ปฌ๋Ÿผ
Identifier (์‹๋ณ„์ž)Date, Code, Name
Price (์‹œ์„ธ)Open, High, Low, Close, Volume, Change, LogReturn
Technical indicators (๊ธฐ์ˆ ์  ์ง€ํ‘œ)MA5/20/60/120, Disp5/20/60/120, Vol20, RSI14, MACD, MACDsignal, MACDhist, BB_pctB, VolumeMA20, VolumeRatio
Macro (๊ฑฐ์‹œ์ง€ํ‘œ)KOSPIlvl/ret, USDKRWlvl/ret, SP500lvl/ret, NASDAQlvl/ret, VIXlvl/ret, US10Ylvl/ret
Calendar (์บ˜๋ฆฐ๋”)DayOfWeek, Month, IsMonthEnd, IsQuarterEnd, DoWsin/cos, Monthsin/cos
Investor flows (ํˆฌ์ž์ž ์ˆ˜๊ธ‰)Foreignnet, Instnet, Indivnet, EtcCorpnet, Foreignratio, Instratio, Indivratio, Foreignnetma5, Instnetma5, Indivnet_ma5
Market cap (์‹œ๊ฐ€์ด์•ก)Marcap, Shares, LogMarcap
๐Ÿ“– ๊ฐ ์ปฌ๋Ÿผ์˜ ์ƒ์„ธ ์„ค๋ช…ยท๋‹จ์œ„๋Š” `DATA_DICTIONARY.md` ๋ฅผ ์ฐธ๊ณ ํ•˜์„ธ์š”. See `DATA_DICTIONARY.md` for column-by-column descriptions and units.

๐Ÿš€ Quick Start / ๋น ๋ฅธ ์‹œ์ž‘

python
from datasets import load_dataset

ds = load_dataset("podongchip/kospi-daily-stock-features-2021-2026", split="train")
print(ds[0])
python
# pandas ๋กœ ๋ฐ”๋กœ ์“ฐ๊ธฐ / load directly with pandas
import pandas as pd

df = pd.read_parquet(
    "hf://datasets/podongchip/kospi-daily-stock-features-2021-2026/kospi_data_v1.parquet"
)

# ์ข…๋ชฉ๋ณ„ ์‹œ๊ณ„์—ด / per-stock time series
samsung = df[df["Code"] == "005930"].sort_values("Date")
print(samsung[["Date", "Close", "RSI14", "Foreign_net"]].tail())
โš ๏ธ `Code` ๋Š” ๋ฐ˜๋“œ์‹œ ๋ฌธ์ž์—ด๋กœ ๋‹ค๋ฃจ์„ธ์š” / Always treat `Code` as a string. ์ข…๋ชฉ์ฝ”๋“œ๋Š” ์•ž์ž๋ฆฌ 0์ด ์žˆ๊ณ (000020), ์šฐ์„ ์ฃผ๋Š” ๋์— ์•ŒํŒŒ๋ฒณ์ด ๋ถ™์Šต๋‹ˆ๋‹ค(์˜ˆ: 00088K). ์ˆซ์ž๋กœ ๋ณ€ํ™˜ํ•˜๋ฉด ์•ž์ž๋ฆฌ 0์ด ์‚ฌ๋ผ์ง€๊ฑฐ๋‚˜ ์šฐ์„ ์ฃผ ์ฝ”๋“œ๊ฐ€ ๊นจ์ง‘๋‹ˆ๋‹ค. Stock codes are zero-padded (000020) and preferred shares carry a letter suffix (e.g. 00088K). Casting to int drops the leading zeros and breaks preferred-share codes. ๋ณธ ๋ฐ์ดํ„ฐ๋Š” Parquet ํฌ๋งท์ด๋ผ Code ๊ฐ€ ๋ฌธ์ž์—ด๋กœ ์ €์žฅ๋˜์–ด ์žˆ์–ด ๊ทธ๋Œ€๋กœ ์•ˆ์ „ํ•ฉ๋‹ˆ๋‹ค. This dataset ships as Parquet, so Code is stored as a string and stays safe by default.

๐Ÿ’ก Use Cases

  • โ€”Stock price / return prediction modeling / ์ฃผ๊ฐ€ยท์ˆ˜์ต๋ฅ  ์˜ˆ์ธก ๋ชจ๋ธ๋ง
  • โ€”Quant strategy & factor research / ํ€€ํŠธ ์ „๋žตยทํŒฉํ„ฐ ๋ฆฌ์„œ์น˜
  • โ€”Time-series & financial ML education / ์‹œ๊ณ„์—ดยท๊ธˆ์œต ML ํ•™์Šต
  • โ€”Investor flow and macro impact analysis / ์ˆ˜๊ธ‰ยท๊ฑฐ์‹œ์ง€ํ‘œ ์˜ํ–ฅ ๋ถ„์„

๐Ÿ“ Notes / ์ฐธ๊ณ 

  • โ€”์ข…๋ชฉ์ฝ”๋“œ(`Code`) / Stock code: 6์ž๋ฆฌ ๋ฌธ์ž์—ด์ด๋ฉฐ, ์šฐ์„ ์ฃผ ๋“ฑ์€ ๋์— ์•ŒํŒŒ๋ฒณ(KยทLยทM ๋“ฑ)์ด ๋ถ™์Šต๋‹ˆ๋‹ค. ์ •์ˆ˜๋กœ ๋ณ€ํ™˜ํ•˜์ง€ ๋งˆ์„ธ์š”. 6-digit string; preferred and special shares carry a trailing letter (K, L, M, โ€ฆ). Do not cast to integer.
  • โ€”๊ฒฐ์ธก์น˜ / Missing values: ๊ธฐ์ˆ ์  ์ง€ํ‘œ(MA, RSI, MACD ๋“ฑ)๋Š” ๋ฃฉ๋ฐฑ ๊ธฐ๊ฐ„์ด ํ•„์š”ํ•˜๋ฏ€๋กœ ๊ฐ ์ข…๋ชฉ์˜ ์ดˆ๊ธฐ ํ–‰์— ๊ฒฐ์ธก์น˜(๋นˆ ๊ฐ’)๊ฐ€ ์กด์žฌํ•ฉ๋‹ˆ๋‹ค. Technical indicators require a lookback window, so early rows per stock contain missing values.
  • โ€”๊ฑฐ์‹œ์ง€ํ‘œ / Macro: ์˜์—…์ผ ๊ธฐ์ค€์œผ๋กœ ์ •๋ ฌ๋˜์–ด ์žˆ์œผ๋ฉฐ, ์ผ๋ถ€ ํœด์žฅ์ผ ์ฐจ์ด๋กœ ์ธํ•œ ๊ฒฐ์ธก์ด ์žˆ์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. Aligned to trading days; some gaps may exist due to holiday mismatches.
  • โ€”์ •๋ ฌ / Ordering: Code โ†’ Date ์ˆœ์œผ๋กœ ์ข…๋ชฉ๋ณ„ ์‹œ๊ณ„์—ด์ด ์ด์–ด์ง‘๋‹ˆ๋‹ค. Rows are ordered by Code then Date, forming per-stock time series.
  • โ€”Look-ahead ์ฃผ์˜ / No look-ahead: ๋ชจ๋“  ์ง€ํ‘œ๋Š” ํ•ด๋‹น ์ผ์ž๊นŒ์ง€์˜ ์ •๋ณด๋กœ๋งŒ ๊ณ„์‚ฐ๋ฉ๋‹ˆ๋‹ค(๋ฏธ๋ž˜ ์ •๋ณด ๋ฏธํฌํ•จ). All features use information up to that date only.

๐Ÿ—‚๏ธ Data Sources / ๋ฐ์ดํ„ฐ ์ถœ์ฒ˜

  • โ€”KOSPI ์‹œ์„ธยทํˆฌ์ž์ž ์ˆ˜๊ธ‰ (Price & investor flows): ํ•œ๊ตญ๊ฑฐ๋ž˜์†Œ(KRX) ๊ณต๊ฐœ ์‹œ์žฅ ๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜์œผ๋กœ ๊ฐ€๊ณต. Derived from Korea Exchange (KRX) public market data.
  • โ€”๊ฑฐ์‹œ์ง€ํ‘œ (Macro indicators): ํ™˜์œจยทํ•ด์™ธ ์ง€์ˆ˜ยท๋ณ€๋™์„ฑยท๊ธˆ๋ฆฌ ๋“ฑ ๊ณต๊ฐœ์ ์œผ๋กœ ๊ณตํ‘œ๋˜๋Š” ์‹œ์žฅ ์ง€ํ‘œ. Publicly published market indicators (FX rates, global indices, volatility, yields).

๋ณธ ๋ฐ์ดํ„ฐ์…‹์€ ์œ„ ๊ณต๊ฐœ ์‹œ์žฅ ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ์ˆ ์  ์ง€ํ‘œยทํŒŒ์ƒ ๋ณ€์ˆ˜๋กœ ๊ฐ€๊ณตํ•œ 2์ฐจ ์ €์ž‘๋ฌผ์ž…๋‹ˆ๋‹ค. This dataset is a derived work that processes the above public market data into technical and engineered features.


โš–๏ธ License & Disclaimer / ๋ผ์ด์„ ์Šคยท๋ฉด์ฑ…

  • โ€”๋ณธ ๋ฐ์ดํ„ฐ์…‹์€ CC BY-NC 4.0 ๋ผ์ด์„ ์Šค๋กœ ์ œ๊ณต๋ฉ๋‹ˆ๋‹ค(๋น„์˜๋ฆฌยท์ถœ์ฒ˜ํ‘œ์‹œ). Released under CC BY-NC 4.0 (non-commercial, attribution required).
  • โ€”๋ฐ์ดํ„ฐ์…‹์˜ ๊ฐ€๊ณตยท๊ตฌ์„ฑยทํŒŒ์ƒ ๋ณ€์ˆ˜ ๋ฐ ํŽธ์ง‘์— ๋Œ€ํ•œ ๊ถŒ๋ฆฌ๋Š” ์ œ์ž‘์ž์—๊ฒŒ ์žˆ์Šต๋‹ˆ๋‹ค. Rights to the processing, structure, engineered features, and compilation of this dataset belong to its creator.
  • โ€”์›์ฒœ์ด ๋˜๋Š” ์‹œ์„ธยท๊ฑฐ์‹œ์ง€ํ‘œ ๊ฐ’์€ ๊ณต๊ฐœ ์‹œ์žฅ ๋ฐ์ดํ„ฐ์— ๊ธฐ๋ฐ˜ํ•˜๋ฉฐ, ๊ฐ ์›์ฒœ ๋ฐ์ดํ„ฐ์˜ ๊ถŒ๋ฆฌ๋Š” ํ•ด๋‹น ์ œ๊ณต์ฒ˜์— ์žˆ์Šต๋‹ˆ๋‹ค. The underlying price and macro values are based on public market data; rights to the source data remain with their respective providers.
  • โ€”๋ณธ ๋ฐ์ดํ„ฐ์…‹์€ ์—ฐ๊ตฌ ๋ฐ ๊ต์œก ๋ชฉ์ ์œผ๋กœ ์ œ๊ณต๋ฉ๋‹ˆ๋‹ค. ๋ฐ์ดํ„ฐ์˜ ์ •ํ™•์„ฑยท์™„์ „์„ฑ์„ ๋ณด์ฆํ•˜์ง€ ์•Š์œผ๋ฉฐ, ํˆฌ์ž ํŒ๋‹จ์˜ ๊ทผ๊ฑฐ๋กœ ์‚ฌ์šฉํ•ด ๋ฐœ์ƒํ•˜๋Š” ์ฑ…์ž„์€ ์‚ฌ์šฉ์ž์—๊ฒŒ ์žˆ์Šต๋‹ˆ๋‹ค. Provided for research and educational purposes. No warranty is given regarding accuracy or completeness; any investment decisions made using this data are solely the user's responsibility.