Welcome!

News Feed Item

Dot Commodity and its Subsidiary Open Gateway at Hong Kong Data Center as a Strategic Base and Offshore Backup Center

Tokyo, Jan 28, 2013 - (ACN Newswire) - Dot Commodity, Inc. (Dot), Japan's largest online commodity futures broker, is pleased to announce that Dot and its wholly owned subsidiary, Market Brokerage & Futures Systems, Inc. (Market Systems) have established their first overseas data center in Hong Kong. Overall, the launch of operations at the Hong Kong data center marks the third data center where Dot and Market Systems provide gateways to global markets with the other two based in Tokyo. Operations at the Hong Kong data center will commence on February 4th, 2013. Clients such as Futures Commission Merchants (FCM) and financial institutions based in Asia who are expanding their business globally will be able to leverage the new data center to provide their own clients with 24 hour high-speed access to global markets such as CME Group, ICE Europe, ICE U.S., SGX as well as TOCOM through the new gateway in Hong Kong.

Dot began expanding into overseas markets in 2010 with the release of its in-house developed multi-lingual front-end trading system and then in 2012 Dot launched front-end trading and market connectivity solutions as well as brokerage and clearing services to institutional clients based in Hong Kong and greater Asia. Dot has deployed its new strategic gateway in Hong Kong due to its strategically important location as one of the world's leading financial centers. By establishing operations in a state of the art data center outside of Japan, Dot will also strengthen its disaster recovery capabilities and have a business continuity plan in the event of an unexpected disaster or service outage in Japan.

Jin Funada, President of Dot Commodity, said "One of our strengths is that we can offer FCM and financial institutions with not only brokerage and clearing services but also market connectivity and system solutions at a competitive price along with low latency and high reliability. In 2013, Dot will intensify its marketing efforts to offer our full range of brokerage and system solutions to Asian based clients and accelerate our global business development plan."

About Dot Commodity

Dot Commodity is Japan's largest and fastest growing commodity futures broker with headquarters in Shibuya-ku, Tokyo. Dot offers a global reach with almost 24 hour electronic trading availability as a Clearing Member of the Tokyo Commodity Exchange (TOCOM), the Tokyo Grain Exchange (TGE) and a Trading Member of Singapore Exchange (SGX) Derivative Markets. Dot also offers commodity futures products from CME Group, ICE Europe and ICE U.S. along with OTC brokerage services and CFD (Contract for Difference) products. Dot caters to both individual and corporate clientele which currently includes proprietary trading firms, commercial oil companies, global trading houses and financial asset managers. For further information, please visit our website at: www.commodity.co.jp/english.

Source: Dot Commodity

Contact:
Miho Eriguchi - Public Relations
+81-3-5447-3022
E-mail: [email protected] 

For service inquiry:
Product Information (Customer Service)
E-mail: [email protected]




Copyright 2013 ACN Newswire. All rights reserved.

More Stories By ACN Newswire

Copyright 2008 ACN Newswire. All rights reserved. Republication or redistribution of ACN Newswire content is expressly prohibited without the prior written consent of ACN Newswire. ACN Newswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
Daniel Jones is CTO of EngineerBetter, helping enterprises deliver value faster. Previously he was an IT consultant, indie video games developer, head of web development in the finance sector, and an award-winning martial artist. Continuous Delivery makes it possible to exploit findings of cognitive psychology and neuroscience to increase the productivity and happiness of our teams.
Machine learning provides predictive models which a business can apply in countless ways to better understand its customers and operations. Since machine learning was first developed with flat, tabular data in mind, it is still not widely understood: when does it make sense to use graph databases and machine learning in combination? This talk tackles the question from two ends: classifying predictive analytics methods and assessing graph database attributes. It also examines the ongoing lifecycl...
Transformation Abstract Encryption and privacy in the cloud is a daunting yet essential task for both security practitioners and application developers, especially as applications continue moving to the cloud at an exponential rate. What are some best practices and processes for enterprises to follow that balance both security and ease of use requirements? What technologies are available to empower enterprises with code, data and key protection from cloud providers, system administrators, inside...
Consumer-driven contracts are an essential part of a mature microservice testing portfolio enabling independent service deployments. In this presentation we'll provide an overview of the tools, patterns and pain points we've seen when implementing contract testing in large development organizations.
To Really Work for Enterprises, MultiCloud Adoption Requires Far Better and Inclusive Cloud Monitoring and Cost Management … But How? Overwhelmingly, even as enterprises have adopted cloud computing and are expanding to multi-cloud computing, IT leaders remain concerned about how to monitor, manage and control costs across hybrid and multi-cloud deployments. It’s clear that traditional IT monitoring and management approaches, designed after all for on-premises data centers, are falling short in ...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Adding public cloud resources to an existing application can be a daunting process. The tools that you currently use to manage the software and hardware outside the cloud aren’t always the best tools to efficiently grow into the cloud. All of the major configuration management tools have cloud orchestration plugins that can be leveraged, but there are also cloud-native tools that can dramatically improve the efficiency of managing your application lifecycle. In his session at 18th Cloud Expo, ...
When applications are hosted on servers, they produce immense quantities of logging data. Quality engineers should verify that apps are producing log data that is existent, correct, consumable, and complete. Otherwise, apps in production are not easily monitored, have issues that are difficult to detect, and cannot be corrected quickly. Tom Chavez presents the four steps that quality engineers should include in every test plan for apps that produce log output or other machine data. Learn the ste...
A valuable conference experience generates new contacts, sales leads, potential strategic partners and potential investors; helps gather competitive intelligence and even provides inspiration for new products and services. Conference Guru works with conference organizers to pass great deals to great conferences, helping you discover new conferences and increase your return on investment.
Using new techniques of information modeling, indexing, and processing, new cloud-based systems can support cloud-based workloads previously not possible for high-throughput insurance, banking, and case-based applications. In his session at 18th Cloud Expo, John Newton, CTO, Founder and Chairman of Alfresco, described how to scale cloud-based content management repositories to store, manage, and retrieve billions of documents and related information with fast and linear scalability. He addresse...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will d...
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
We are seeing a major migration of enterprises applications to the cloud. As cloud and business use of real time applications accelerate, legacy networks are no longer able to architecturally support cloud adoption and deliver the performance and security required by highly distributed enterprises. These outdated solutions have become more costly and complicated to implement, install, manage, and maintain.SD-WAN offers unlimited capabilities for accessing the benefits of the cloud and Internet. ...
Business professionals no longer wonder if they'll migrate to the cloud; it's now a matter of when. The cloud environment has proved to be a major force in transitioning to an agile business model that enables quick decisions and fast implementation that solidify customer relationships. And when the cloud is combined with the power of cognitive computing, it drives innovation and transformation that achieves astounding competitive advantage.