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KRX Investment Warning Prediction Dataset (OHLCV + Korean News)
Dataset Summary
This dataset is a test dataset for predicting Investment Warning (투자주의종목) designations in the Korean stock market (KRX).
It contains raw daily OHLCV price data and Korean news text (title + body), designed for multimodal anomaly detection / binary classification.
Important: No technical indicators are included, and no normalization/scaling is applied.
- Date range: 2025-07-01 ~ 2025-09-30
- Prediction horizon: whether a stock will be designated as an investment warning within the next 1 trading day
Task
Binary classification:
- Label 0: Normal trading (no investment warning designation within the next 1 trading day)
- Label 1: Investment warning designation (within the next 1 trading day)
Label Alignment
For each (ticker, date=t), set label=1 if the stock is designated as an investment warning on t+1 (the next trading day).
Data Sources
| Source | Description |
|---|---|
| Stock Prices | Daily OHLCV data for KRX listed stocks |
| Investment Warning | KRX investment warning designation history (labels) |
| News | Korean news articles per stock (title + body) |
Dataset Format
This dataset is structured to be used directly with Hugging Face datasets, and consists of three columns:
labels: Binary label (0or1)time_series: Price time-series information (OHLCV)texts: Korean news text mapped to the corresponding stock (title + body)
The exact internal structure of
time_seriesandtexts(e.g., list/dict formats, sequence length, date ordering) follows the dataset schema.
In general,time_seriesis provided as a fixed-length historical window, andtextscontains news from the same date (or window period), either concatenated or stored as a list.
Example (Conceptual)
labels:0or1time_series:[[open, high, low, close, volume], ...]texts:["article1 ...", "article2 ..."]
Feature Details
Price (OHLCV) — time_series
- OHLCV is provided as raw daily bars.
- No technical indicators (e.g., RSI, MACD) are included.
- No normalization/scaling is applied.
- Currency unit: KRW
- Volume: number of shares (not value)
News — texts
- News is mapped to tickers via an exact ticker-code mapping.
- Deduplication has been applied.
- Each news item includes title + body (stored as a single string or list depending on schema).
Recommended Metrics
Because investment warning events are likely to be rare (class imbalance), the following metrics are recommended:
- ROC-AUC, PR-AUC
- F1 (positive class), precision/recall
- Precision/recall at Top-k (useful for practical detection scenarios)
- (Optional) probability calibration
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