Automated Trading Strategies

Research

Scope

To improve our products we are permanently engaged in the research of future methodologies to be adapted to problems in the financial service industry, like Complex Event Processing (CEP), Quantitative Financial Behavior Analysis, Rule-based Reasoning, Statistical Arbitrage and many more.

Objectives

Our aim is to find new and better solutions for today's problems in the area of market analysis and applicable trading strategies.

Complex Event Processing (CEP)

In the area of complex event processing we are looking on solutions to process up to several dozens of different event types in near real-time, to detect complex financial patterns and therefore support our customers trading decisions.

Quantitative Financial Behavior Analysis

A similar domain is quantitative financial behavior analysis where we define approaches to describe the behavior of financial markets.

Stocksinside is a pioneer in the area of automated financial intelligence, focused on the development of next-generation stock market analysis applications and services. Stocksinside's flexible architectural framework enables community-driven innovation, helping both financial service companies and professional investors to improve their investment performance and make the right decisions at the right time.

Stocksinside provides an easy-to-use expert system to detect promising investing opportunities within the stock markets. Users are able to define personalized trading strategies, which are then executed by a highly specialized search engine working on rule-based reasoning. Matching results are superimposed onto dynamic stock reports to illustrate just why this stock could be an opportunity within the scope of their particular trading strategy.