NASDAQ was the world’s first electronic stock exchange.
Best known as the home of leading technology stocks, NASDAQ also offers a broad range of financial services beyond equity trading, including futures and derivatives trading, asset management, and data services.
The U.S. accounts for more than 50% of global stock market capitalization and is home to industry leaders from around the world, while Nasdaq handles more than 50% of U.S. equity trading volume.
As NASDAQ’s sole designated data integration and connectivity provider in Taiwan, MDBS delivers stable, high-speed U.S. market data and after-hours data to its clients.
ICE owns and operates 12 regulated exchanges and marketplaces, including ICE Futures exchanges in the U.S., Canada, and Europe, Liffe in Europe, the New York Stock Exchange, equity options exchanges, and OTC energy, credit, and equity markets.
ICE Data Services provides market data and analytics across multiple asset classes, supporting clients in investment, trading, compliance, and risk management. Its solutions cover real-time and historical data, indices, and trading data, delivered in a secure and flexible manner.
MDBS supports integration with ICE Data Services databases and data APIs, and also offers implementation services for large-scale customer service platforms.
Built on the Google ecosystem, MDBS provides AI system integration and innovative services, strengthening compute resource integration and customized middleware layers.
MDBS also supports platforms for AI customer service, automated video generation, research report generation, and data integration, helping clients effectively connect their data with AI applications.
In partnership with IBM, MDBS provides integrated securities and futures trading platforms powered by IBM Mainframe computing, processing high volumes of data and transactions with the highest levels of security and reliability.
Mainframes play a critical role in commercial databases, transaction servers, and applications that demand high resilience and security, such as Linux on Power and Non-stop LinuxONE.
MDBS also offers on-premises AI solutions that enable highly regulated enterprises to adopt AI while safeguarding information security and personal data.
In addition, by leveraging IBM’s watsonx.ai platform, MDBS helps enterprises adopt generative AI applications, improve data analysis efficiency and decision-making, and drive intelligent transformation.
MT Newswires is a provider dedicated to global financial news, delivering original, real-time, multi-asset class news across more than 180 topics and reaching over one billion readers.
Its news services are used by the world’s largest banks, brokerages, professional market data providers, financial portals, and trading, wealth management, and research applications, and are renowned for outstanding service and real-time market insight.
As MT Newswires’ sole designated data integration and connectivity provider in Taiwan, MDBS delivers stable, high-speed real-time news, target prices, and other data on U.S. stocks and overseas instruments.
Interactive Brokers (IB) offers trading across a diverse range of financial products, including stocks, ETFs, futures, options, bonds, forex, funds, and contracts for difference (CFDs), covering more than 150 markets in 34 countries, with Chinese-language interface and customer support available.
MDBS has established a partnership with IB to integrate its enterprise asset management platform, and provides system integration services for domestic corporate users and institutional investors.
MDBS distributes APMIC’s enterprise AI products and solutions, combining them with its system integration and project implementation expertise. From product deployment and custom development to system integration, MDBS helps enterprises put AI into practice in their daily operations.
With APMIC’s knowledge management platform, AI development tools, and model services, MDBS connects internal data with existing systems such as CRM, ERP, and factory management systems. These integrations enable knowledge retrieval, data analysis, and workflow automation tailored to specific business needs.
百Taking each enterprise’s IT architecture, deployment environment, and security requirements into account, MDBS provides implementation planning and integration services that embed AI into existing workflows, improve operational efficiency, and help businesses gain greater value from their data.
SpeedyAI leverages ultra-fast C++ technology and FPGA architecture to achieve millisecond-level order processing.
Ideal for high-frequency and algorithmic trading, it enhances the efficiency and reliability of financial transactions.
Smarter, Faster, And Safer Access To U.S. And Global Markets—Built For The AI-Powered Future Of Trading.
A one-stop solution integrating Google Gemini’s cloud and on-premise architecture, providing end-to-end services from requirements assessment and hardware/software deployment to model governance, accelerating your AI application deployment and transformation.
Providing diverse, enterprise-grade AI solutions that can be rapidly deployed.
Built with Google AI and MDBS innovation to craft your brand identity.
Create a digital avatar that mirrors your appearance and voice.
Deliver seamless translations with original voice tone and lip-sync precision.
Instantly create professional video content using versatile templates
01 How To Use Big Data Solutions?
When using big data, enterprises often face challenges such as complexity, high costs, and difficulty in operation. Different teams also interpret data differently. As data volumes continue to grow, problems become increasingly complex. So, can big data really help us solve real problems?
02 The Concept Of Data Fridge
In marketing, access to real-time and simplified data is critical. The concept of MDBS Data Fridge is to make data simple—no need for heavy infrastructure. Just like grabbing a fresh beer or ice cream from your fridge, you can instantly get the data you want, whenever you need it.
03 Types Of Data Enterprises Should Collect
Enterprises should focus on collecting two main types of data: Unstructured Data: Machine logs (e.g., Apache, application servers, etc.) External Data: Data outside internal systems, such as third-party sources, social media platforms, and other external data streams.
04 How To Instantly Access Valuable Data?
We need to analyze rapidly changing data in real time, uncover new insights, improve existing models, and capture opportunities before they’re gone. That means shifting from traditional batch processing to real-time analytics and decision-making.
05 Data Fridge Simplifies Data Processing
With Data Fridge, you can easily collect and interpret data—making complex data processing simple and accessible.
Professional planning and innovative design to provide the best user experience.
AI-Enhanced Service Experience
RWD Multi-Screen Design, New UI/UX Compliant
Clean Flow, Flexible Code Structure
Combining Workflow, Prototypes, Interactive Design, Detailed Planning
Membership, Payment Modules, Content Upload & Legacy System Integration
Speedy Exchange & Broker Real-Time High-Speed Connection
SpiderNet FIX Trading Connection Interface
Orc Mapper Engine Component
JQue Trade Risk Control Module
Mass Data Collection, Real-Time Marketing, Social Media Tracking