AI-Driven Total Returns

Qnology AI Ltd is an AI-powered research house primarily creating analytics and trading algorithms using artificial intelligence.

AI Driven Total Returns

Qnology AI Ltd is an AI powered research house primarily focused on creating analytics and trading algorithms using artificial intelligence for portfolio management.

Qnology AI

Qnology AI Ltd has effectively integrated its algorithm development and consulting services into an established regulated Hedge Fund, “The Great People Registered Alternative Investment Fund V.C.I.C Ltd”, in 2022 and provides Portfolio Management with primary research and proprietary algorithms.

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AI in Portfolio Management

We give credence to AI and are convinced it will somersault the entire asset management industry. Artificial intelligence will be integral to active Portfolio Management in the coming years. The reasons are simple: AI can use large data sets to identify non-linear trading opportunities. In addition to consulting with a good Portfolio Manager, artificial intelligence is unsurpassable.

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Use of Alternative Data

Our data gremium has led to a novel conceptualization of previous fundamental data. This process has led to unique feature engineering, utilizing over 2,000 statistically significant variables in our advanced deep learning models. This approach ensures that our strategies remain innovative and ahead of the competition.

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Leading Inhouse Research

Qnology AI Ltd is known for its innovative research approaches. It replaced its trading algorithms' usual Recurrent Neural Networks architecture with an internally newly developed Convolutional NN architecture for time series analysis. This resulted in substantial performance gains while maintaining stable forecasting accuracy.

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Monthly Hedge Fund Report

Gain invaluable insights into the global hedge fund industry with our monthly Hedge Fund Report. With access to the most up-to-date data and expertise from our experienced analysts, we can provide our investors with a comprehensive view of the market, including trends, performance data and the latest news. Our report offers valuable data and insights to help you make informed investment decisions.

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Special Reports

We dive deeper into the hedge fund industry and the emerging field of artificial intelligence in asset management. Our Special Reports "Insights into the Hedge Fund Scene" and "AI in Asset Management" provide a comprehensive analysis, transforming complex concepts into more understandable content and explaining how we leverage the newest technologies.

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Articles about Regulatory Environment

We give you an insight into the world of hedge funds. Starting with the terminology and ending with the regulatory environment, we present you with all the relevant information so you can move more easily and confidently in this elite niche of the financial world.

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Associated Fund Solution

An Alternative Investment Fund Manager of a Qnology AI subsidiary has effectively integrated its algorithm development and consulting services into an established regulated hedge fund solution, providing primary research and proprietary algorithms to portfolio management.

Research Team

The following experts contribute to Qnology's research.
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Alan Koska

CEO QNOLOGY, PORTFOLIO MANAGER
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Christos Kassianides

PORTFOLIO MANAGER
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Dionysis Partsinevelos

ECONOMIC ANALYST
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Antigoni Mita

DATA SCIENTIST
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Christian Schlienkamp

DATA SCIENTIST

Expert Network

The research team is supported by the following experts.
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Christos Michaelides

EXPERT IN TREASURY AND RISK MANAGEMENT, NON-EXECUTIVE DIRECTOR OF TGPF
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Charis Savvides

EXPERT IN REGULATORY COMPLIANCE & FUND SERVICES

Frequently Asked Questions

The following questions and answers will give you a brief overview of Qnology AI.

1. What is the virtue of utilizing artificial intelligence in active asset management?

2. How does Qnology employ artificial intelligence in its research?

3. How is alternative data deployed and how does it differentiate from “traditional data” from Bloomberg?

4. Which services and different reports does Qnology offer?

5. Who are the typical clients of Qnology and how do the offered services reinforce their investment strategies?

6. What is the associated fund solution mentioned on the website and how is it affiliated with Qnology?

7. Who is Alan Koska, CEO at Qnology, and how does his prior experience with artificial intelligence in asset management help him in this role?

8. What is the management's vision for the further development of Qnology over the next 5 years?