Apps Like 케이프투자증권 Orda M Plus for iPhone and iPad
케이프투자증권 Orda M Plus screenshots
Ranked alternatives
Showing 1–20 of 1,000 ranked alternatives.
i-ONE Bank - 개인고객용
INDUSTRIAL BANK OF KOREA
Open accounts, view balances, transfer funds
Provide financial services without an account, including account inquiry, transfers, and product enrollment. Use biometric authentication for login and transactions.
엔카 - 중고차 필수 플랫폼, 내차팔기, 내차시세
ENCARSALES.COM
Sell cars with competitive bids
Sell used cars by comparing bids from dealers. Input vehicle number and owner name for instant pricing. Access up to 30 competitive bids within 48 hours.
케이뱅크
kbank
Manage accounts, view transactions, track rewards, discover
Manage multiple bank accounts and transaction history from the home screen. Access personalized financial recommendations and service status in the "Discover" tab. View collected rewards and benefits in the "Benefits" section.
하나Pay(하나카드)
Hana Card Co., Ltd.
Pay with QR code and fingerprint
Manage finances with card balance checks, transaction tracking, and budget insights. Perform transfers and payments via QR code or barcode without passwords. Receive personalized offers and event notifications based on spending habits.
현대카드 M몰
Hyundaicard Co.,Ltd.
Discover tastes and lifestyles with points.
The app offers a new commerce experience beyond point shopping. Users can discover tastes and experience various lifestyles through curated products and content.
KB Pay
KB Kookmin Card
Pay with card, track expenses, manage assets
Track financial transactions, view payment history, and manage credit scores. Link bank accounts and assets for consolidated viewing. Make instant payments, use points, and set reminders for bill payments.
첫차 - 중고차 사고팔때 필수 앱
misterpic
Sell cars with real data and verified
Used car buyers can verify vehicle details through certified dealers and access 50+ hidden vehicle insights. Clean engine technology ensures real listings, and users can view real customer reviews.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.