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데브시스터즈, '신한카드 플리 쿠키런 에디션' 출시: 비스트 쿠키·에인션트 쿠키 디자인 적용전월 실적·할인 한도 없이 최대 0.9%까지 할인 혜택출시 기념 10만원 캐시백, 이터널슈가 쿠키 인형 패키지 증정 이벤트[서울=뉴시스] 오동현 기자 = 데브시스터즈는 개발 스튜디오 스튜디오킹덤이 개발한 모바일 RPG(역할수행게임) '쿠키런: 킹덤'이 신한카드와 협업해 '신한카드 플리 쿠키런 에디션'을 선보인다고 4일 밝혔다.이번 에디션은 '신한카드 플리(쿠키런)'과 '신한카드 플리 체크(쿠키런)' 총 2종으로, 쿠키런: 킹덤의 새로운 대립 서사를 이끄는 핵심 캐릭터 비스트 쿠키와 에인션트 쿠키를 카드 디자인에 담았다.신한카드 플리(쿠키런)는 전월 실적이나 할인 한도 없이 이용금액의 기본 0.5% 할인이 적용되며, 신한 SOL페이로 결제 시 최대 0.9%까지 혜택을 받을 수 있다. 체크카드는 기본 0.2%, 최대 0.3%의 할인 혜택을 제공한다.이외에도 신용카드는 매주 1회, 체크카드는 월 2회 할인 쿠폰이 제공되며, 단골 가맹점에서 결제 시 월 최대 3회, 총 3000 포인트까지 적립할 수 있는 혜택도 마련됐다.에디션 출시를 기념해 8월 31일까지 특별 이벤트가 진행된다. 행사 기간 내 이벤트에 응모하고 신한카드 플리(쿠키런) 신용으로 국내외 가맹점에서 13만원 이상 결제 시, 10만원 캐시백과 함께 이터널슈가 쿠키 인형 패키지가 선착순으로 제공된다.신한카드 플리(쿠키런) 신용의 연회비는 국내 전용 1만5000원, 해외 겸용 1만8000원이다.
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위메이드 "원화 스테이블코인 컨소시엄 준비": "이달 말 스테이블코인 검증 밸리데이터 구축, PoC 예정"[서울=뉴시스] 위메이드 CI (사진=위메이드) *재판매 및 DB 금지[서울=뉴시스]윤정민 기자 = 최근 원화 스테이블코인 제도화 가능성이 제기된 가운데 위메이드가 해당 생태계에 핵심적인 역할을 수행할 수 있다며 관련 컨소시엄을 준비하고 있다.위메이드는 8일 진행한 올해 2분기 실적 발표 컨퍼런스콜에서 "스테이블코인이 글로벌 통화 프로토콜이 될 것이라는 시장 논리에 회사도 공감하고 있다"며 "자체 이니셔티브를 갖는 방향이 아닌 테크 컨트리뷰터(기여자)로서 특정 컨소시엄 형태로 산업 발전에 기여하고자 준비하고 있다"고 밝혔다.위메이드는 자체 블록체인 메인넷 '위믹스 3.0', 디파이(탈금융화) 서비스 '커런시', 블록체인 기반 탈중앙화 조직 '다오(DAO)' 등 블록체인 생태계 경험을 지녔다.위메이드는 "블록체인 사업 전반에 걸쳐서 엔드 투 엔드(E2E) 서비스를 자체적으로 개발하고 상용화한 경험이 있는 기업"이라며 "스테이블코인 전주기를 검증하는 밸리데이터(검증인) 시스템 전체를 내부에서 구축 중에 있다. 이달 말 개념 실증(PoC)을 완료하고 올해 안에 출시하면서 컨소시엄도 구성할 수 있도록 대외 협력 기반도 확대하고 있다"고 말했다． 적자 폭 늘어난 위메이드, 하반기 글로벌 신작으로 반등 노린다: [IR 종합] 2분기 영업손실 285억, 매출 1168억 기록하반기 '이미르 글로벌' 등 출시…스테이블 코인 사업도 추진위메이드 본사/뉴스1(서울=뉴스1) 김민재 기자 = 위메이드(112040)가 2분기 285억 원가량의 영업손실을 기록했다. 회사는 하반기 '레전드 오브 이미르' 글로벌 버전 등 신작을 통해 반등을 노린다는 계획이다. 원화 기반 스테이블 코인 컨소시엄도 꾸릴 예정이다.'레전드 오브 이미르' 신작 효과 감소로 매출 하락…영업손실 폭 확대8일 금융감독원 전자공시시스템에 따르면 위메이드는 올해 2분기에 연결 기준 매출 1168억 2000만원과 영업손실 285억 4800만원, 당기순손실 283억 1400만원을 기록했다.매출은 전년 동기 대비 31.8% 감소했다. 올해 1분기 출시한 '레전드 오브 이미르'와 '로스트 소드'의 신작 효과가 줄어든 영향으로 풀이된다.부문별로는 게임 사업이 1147억 1500만원, 라이선스와 블록체인 사업이 각각 7억 3900만원과 6억 800만원의 매출을 올렸다.천영환 위메이드 IR 실장은 이날 2분기 실적발표 콘퍼런스콜에서 "전 분기 업데이트 효과가 완화하고 서비스 기간이 지남에 따라 기존 게임 매출이 하향세를 보였다"고 말했다.이어 "게임의 라이프 사이클을 장기화하고 실적 안정성을 지속해서 강화해 나갈 예정"이라고 덧붙였다.영업손실 규모는 지난해 같은 시기보다 44억 900만원 늘어났다. 인건비는 직전 분기 대비 12% 늘어났고 지급 수수료는 전 분기보다 18% 줄어들었다. 광고 선전비는 올해 1분기 대비 23% 감소했다.천 실장은 "게임 매출 하락에 따른 매출 연동비 감소 등으로 지급 수수료가 줄었으며, 신작 출시 관련 비용을 사용했던 전 분기보다 마케팅 비용이 줄어들어 광고 선전비가 축소됐다"고 했다.위메이드의 자회사 위메이드맥스(101730)는 같은 분기에 매출 330억 원, 영업손실 167억 원가량을 기록했다.레전드 오브 이미르 글로벌 (위메이드 제공. 재판매 및 DB금지)2025.8.8/뉴스1하반기 '레전드 오브 이미르' 글로벌 버전 등 신작으로 반등 노린다위메이드는 하반기에 지식재산권(IP)을 확대하고 플랫폼을 다변화해 실적을 개선한다는 전략이다.올해 하반기 출시 예정인 '레전드 오브 이미르' 글로벌 버전과 '미르M' 중국 버전을 비롯해 10개 이상의 게임을 시장에 선보인다.블록체인 게임 플랫폼인 '위믹스 플레이'는 서비스를 고도화하고 접근성을 강화하고 있다. 위메이드는 내년까지 10개 이상의 외부 게임을 확보해 플랫폼 매출을 늘린다는 방침이다.천영환 실장은 "플랫폼 수수료 기반 수익 모델을 적용 확대하고, 3분기 안에 온보딩 툴킷 가이드라인을 파트너사에 제공해 외부 게임의 플랫폼 접근성을 개선하겠다"고 말했다.위메이드 관계자는 "하반기에는 미르의 전설 2, 3의 중국 라이선스 매출이 반영되고, 신작도 출시할 예정이라 연간 실적을 개선할 수 있을 것으로 보인다"고 말했다.경기도 성남시 위메이드 본사. 2022.1.22 뉴스 ⓒ News1 김명섭 기자원화 기반 스테이블 코인 컨소시엄 추진…코인 전 주기 검증 시스템 구축위메이드는 원화 기반 스테이블 코인에 참여하겠다는 의지도 밝혔다.천영환 실장은 "스테이블 코인이 글로벌 통합 프로토콜이 될 것이라는 시장의 논리에 공감한다"며 이같이 말했다.천 실장은 "위메이드는 블록체인 사업 전반에 걸쳐 엔드 투 엔드 서비스를 자체 개발하고 상용화한 경험이 있다"며 "이런 기술적 기반으로 원화 기반 스테이블 코인 생태계에 핵심적 역할 할 수 있다고 생각한다"고 했다.그는 "다만 자체 이니셔티브를 갖는 방향이 아닌, 테크 컨트리뷰터로서 컨소시엄 형태로 산업 발전에 기여하고자 준비 중"이라고 설명했다.위메이드는 현재 스테이블 코인 전 주기를 검증하는 시스템을 구축하고 있다. 8월 말까지 실증을 마치고 올해 안에 런칭한다는 구상이다.천 실장은 "컨소시엄을 구성할 수 있도록 대외 협력 기반을 확대하고 있다"고 설명했다.<용어설명>■ 스테이블 코인달러화 등 기존 화폐에 가치가 고정돼 있는 가상자산(암호화폐)을 말한다. 시가총액 기준 1위 스테이블코인인 테더(USDT)는 달러와 1:1로 가격이 연동된다. 1USDT가 1달러라는 뜻이다.■ 위믹스게임사 위메이드가 발행한 블록체인 기반의 암호화폐. 위메이드 게임 생태계 내에서 기축 통화로 사용된다. 게임 아이템 구매, 거래, 혹은 대체불가토큰(NFT) 거래 등 다양한 활동에 활용할 수 있다. 위메이드, 원화 기반 스테이블코인 컨소시엄 추진: "스테이블 코인 전 주기 검증 시스템 구축…올해 내 런칭 계획"위메이드 본사/뉴스1(서울=뉴스1) 김민재 기자 = 위메이드(112040)가 원화 기반 스테이블 코인 사업을 컨소시엄 형태로 추진한다고 8일 밝혔다.천영환 위메이드 IR 실장은 이날 2분기 실적발표 콘퍼런스콜에서 "스테이블 코인이 글로벌 통합 프로토콜이 될 것이라는 시장의 논리에 공감한다"며 이같이 말했다.천 실장은 "위메이드는 블록체인 사업 전반에 걸쳐 엔드 투 엔드 서비스를 자체 개발하고 상용화한 경험이 있다"며 "이런 기술적 기반으로 원화 기반 스테이블 코인 생태계에 핵심적 역할 할 수 있다고 생각한다"고 했다.그는 "다만 자체 이니셔티브를 갖는 방향이 아닌, 테크 컨트리뷰터로서 컨소시엄 형태로 산업 발전에 기여하고자 준비 중"이라고 설명했다.위메이드는 현재 스테이블 코인 전 주기를 검증하는 시스템을 구축하고 있다. 8월 말까지 실증을 마치고 올해 안에 런칭한다는 구상이다. 천 실장은 "컨소시엄을 구성할 수 있도록 대외 협력 기반을 확대하고 있다"고 설명했다.<용어설명>■ 스테이블 코인달러화 등 기존 화폐에 가치가 고정돼 있는 가상자산(암호화폐)을 말한다. 시가총액 기준 1위 스테이블코인인 테더(USDT)는 달러와 1:1로 가격이 연동된다. 1USDT가 1달러라는 뜻이다.
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End of preview. Expand
in Data Studio
YAML Metadata
Warning:
The task_ids "binary-classification" is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, language-identification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-modeling, dialogue-generation, conversational, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, text2text-generation, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, image-inpainting, image-colorization, super-resolution, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering, pose-estimation
KRX Investment Warning Prediction Dataset (OHLCV + Technical Indicators + 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, 13 technical indicators, and Korean news text (title + body), designed for multimodal anomaly detection / binary classification.
Important: No normalization/scaling is applied. All values are raw.
- 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 + Technical Indicators)texts: Korean news text mapped to the corresponding stock (title + body)
Example (Conceptual)
labels:0or1time_series:[[open, high, low, close, volume, rsi, macd, macd_signal, macd_hist, bb_upper, bb_middle, bb_lower, bb_width, sma_5, sma_20, ema_9, atr, obv], ...]texts:["article1 ...", "article2 ..."]
Feature Details
Price & Indicators — time_series
Each sample has shape [10, 18] with the following 18 features:
| Index | Feature | Description |
|---|---|---|
| 0 | open |
Opening price (KRW) |
| 1 | high |
High price (KRW) |
| 2 | low |
Low price (KRW) |
| 3 | close |
Closing price (KRW) |
| 4 | volume |
Trading volume (shares) |
| 5 | rsi |
Relative Strength Index (14-period) |
| 6 | macd |
MACD line (12, 26) |
| 7 | macd_signal |
MACD signal line (9-period) |
| 8 | macd_hist |
MACD histogram |
| 9 | bb_upper |
Bollinger Band upper (20, 2std) |
| 10 | bb_middle |
Bollinger Band middle (20-SMA) |
| 11 | bb_lower |
Bollinger Band lower (20, 2std) |
| 12 | bb_width |
Bollinger Band width (normalized) |
| 13 | sma_5 |
Simple Moving Average (5-period) |
| 14 | sma_20 |
Simple Moving Average (20-period) |
| 15 | ema_9 |
Exponential Moving Average (9-period) |
| 16 | atr |
Average True Range (14-period) |
| 17 | obv |
On-Balance Volume |
- No normalization/scaling is applied. All values are raw.
- Currency unit: KRW
- Volume: number of shares (not value)
- Technical indicators are computed with a lookback of 35 days to ensure stable values.
News — texts
- News is mapped to tickers via an exact ticker-code mapping.
- Deduplication has been applied.
- Each news item includes title + body (concatenated as a single string).
Dataset Statistics
- Total Samples: 10,605
- Label Distribution: {0: 10570, 1: 35}
- Sequence Length: 10
- Features per timestep: 18
- Undersampling: Majority class reduced to 10%
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
Usage
from datasets import load_dataset
dataset = load_dataset("k-datasoft/Multimodal-test-dataset-technicalindicators")
License
MIT License
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