Real Time Market Data

Insight into intraday trading activities including trades, quotes, auction imbalances and security status messages

Currency Exchange Rate Data

Finding current exchange rates, conversions, and information of major world currencies for foreign currency trading

Digital Currency Market Data

Finding current exchange rates, conversions, and information of major cryptocurrencies for digital currency trading

AI-derived Equities Indexes

Automation, optimization, prediction and categorization of high risk and return equities using AI algorithms

Statistical Analysis

Summarizing large structured and unstructured datasets for easy visualization and data classification

User Friendly Interface

Easy and comfortable to understand graphical features and functions immediately after opening a board

Algorithmic Equity Analytics

It is the mathematics of the markets that gives you and your clients the leverage.
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Artificial Intelligent and Financial Markets Analytics

Over the past few years, financial services sector has found values of algorithmic engines that can be brought to many aspects of businesses well beyond the traditional roles of providing a standard set of financial analysis year after year. Now, more and more investors and brokers are looking to access smarter tools to understand complexities of financial markets around the globe. By combining internal financial information and operational data with external information, intelligent stock analytics can address critical business questions with unprecedented ease, speed and accuracy, such as:

What future events could affect our stock price?

How can we enhance our business processes?

How to turn mountains of data into nuggets of insight?

How to provide forward-looking strategic insights?

Intelligent Predictive Models of Equities Markets

Artificial intelligence equities engines and expert systems are becoming your new associates.

Artificial intelligence and the Future of Capital Markets

AI technology could allow finance companies to establish new business models, reduce investment risks, minimize expenses, and maximize returns. It could also enable firms to offer financial services at a level of sophistication, customization and scale never previously possible.

  • What is AI?

    AI enables software to exhibit intelligence, including learning, planning, reasoning, problem solving and decision-making. While the field has advanced in fits and starts since, numerous basic artificial intelligence tools exist today, including virtual assistants Siri (Apple) and Cortana (Microsoft), Google Translate, and Netflix’s viewing recommendation engine.

  • Financial analytics technologies

    1) Provide forward-looking strategic insights, not just backward-looking financial reporting; 2) Filter and analyze large amounts of data promptly and easily; 3) Combine internal and external data to generate insights that weren’t possible or practical before; 4) Present data and results visually so they are easier to understand and have more impact; 5) Become a data-driven organization that makes investments and operating decisions with more confidence and mitigated risk; and 6) Boost the Finance function’s value and credibility as a strategic partner to the business.

  • Explosion of data

    The field of AI has developed symbiotically with the explosion of big data. The explosion of data has coincided with a decline in the cost of collecting and processing digital information, as well as a substantial rise in computing power. This in turn has helped data mining become more affordable resulting in the fast expansion of the big data industry, which is expected to grow to $84.69 billion by 2026 up from $7.6 billion in 2011.

  • AI in financial and eqiuties sector

    A common view shared by many analysts in the industry is that a sophisticated trading machine capable of learning and thinking will make even today’s most advanced and complex investment algorithms look primitive. AI software is already allowing companies to evaluate deals, investments, and strategy in a fraction of the time it takes today’s quantitative analysts, or quants, who build complex—but also somewhat static—models in Excel. Quants can produce several effective models per week. AI machines can construct thousands. AI is a very promising area and can help you find patterns a human would never see. That can give you a huge edge.

  • Robotic finance

    AI is facilitating the rise of robots in finance. For example, the Bank of Tokyo-Mitsubishi UFJ introduced its first humanoid robot, NAO, in Tokyo in 2014. The 58-centimer (23-inch) machine can speak nearly 20 languages and read human emotions. The customer service robot welcomes bank clients into the branch, "Hello and welcome. I can tell you about money exchange, ATMs, opening a bank account, or overseas remittance. Which one would you like?" NAO analyzes behavior and facial cues to deliver situation-appropriate responses to client queries. When necessary, NAO, which can recall details from over five million clients and more than 100 financial products, is able to direct individuals to the appropriate bank employee based on the interaction and goals of the customer. Similarly, Mizuho Bank introduced its own customer-facing robot, Pepper, the same year to perform comparable tasks. Pepper, approximately twice the size of NAO, continually evolves and improves its abilities by connecting to thousands of other Peppers through the cloud and interacting with clients.

Artificial Intelligence and Expert Systems in Equity Markets

Real Time Market Analysis

Expert systems and AI software are allowing companies to evaluate deals, investments, and strategy in a fraction of the time it takes today’s quantitative analysts, analysts, or quants, who build complex Excel models.

Reducing Investment Risks

Investors can fully rely on expert systems and AI engines to acquire more detailed market data and economic information to classify information and perform analysis resulting in superior investment decisions.

Portfolio Management

AI and machine learning tools are being used to identify new signals on price movements and to make more effective use of the vast amount of available data and market research than with current models.

Financial Prediction

Considering the inherent nonlinearities of financial data, AI is a promising area in extracting dynamic characteristic of the data and adopting such information into the effective predicting models.

Artificial intelligence is not just to build systems with the intelligence level of humans, but it is to surpass that by millions of times!

We are developing the fastest and most intelligent investment analytics supersystem for capital markets.

Potential Markets