Quantina Intelligence

Next-Generation Algorithmic Trading
& Institutional Income

Pioneering financial technology since 2013. Discover our premium cTrader indicators, automated news-trading bots, and secure 8% Fixed Corporate Debentures.

Explore cTrader Apps 8% Corporate Debenture

The video is from 2017

The Quantina Evolution

From MT4 Pioneers to cTrader Leaders

In 2014, Quantina shook the retail market with the launch of the News Trader Strategy EA 2.0, becoming one of the most downloaded and actively utilized expert advisors on MetaTrader 4. As market behavior evolved, we integrated advanced algorithmic modeling and AI.

Today, we have fully transitioned to cTrader.

Why? Because modern institutional and retail traders deserve the speed, raw execution power, and C#-driven infrastructure that only cTrader can provide.

Our Ecosystem

Premium Software

Featured Trading Tools

Over a Decade of Innovation

2013

Quantina Founded
IN London United KIngdom

2014

News Trader EA Launch
On MetaTrader 4

2018

AI & Corporate Expansion

2026

Full cTrader Migration

Got Questions?

Frequently Asked Questions & Corporate Transparency

What is the corporate structure and history of Quantina?

Quantina was originally founded by Mr Bela Kovacs on 2 September 2013 under the registered entity QUANTINA INTELLIGENCE LIMITED (UK Company Number: 08672534). This original entity remains fully active today. To drive and compartmentalize dedicated artificial intelligence and advanced machine learning financial research, a parallel entity, Quantina Ltd. (UK Company Number: 11386654) was incorporated on 29 May 2018, funded entirely by private capital from the founder. Both companies operate seamlessly with clearly segregated commercial and technological activities within the Quantina ecosystem.

Quantina’s decade-long history is highly documented and fully transparent. The historical live performance, data verification, and audited track records of our legacy systems—such as the famous Quantina News Trader series and early automated expert advisors—can be publicly cross-referenced within the archive section of the official MQL5 community platform and on verified MyFxBook portfolios. Furthermore, hundreds of independent video reviews, historical trading tests, and user live-sessions are publicly accessible on YouTube under the search term ‘Quantina robot’.

While MetaTrader 4 served the retail market for years, modern algorithmic trading demands higher speed and robust infrastructure. Quantina has fully migrated to cTrader because its modern Automate API runs natively on C#, providing lightning-fast execution, sub-millisecond latency, advanced risk management controls, and a superior environment for automated cBots and premium indicators.

As part of our commitment to the cTrader transition, Quantina is continuously rolling out a brand new, extensive library of educational video content, step-by-step installation instructions, and real-time algorithmic explanations. These modern guides, optimized for cBots and custom C# indicators, will be regularly published directly on our website and our official media channels to assist both retail and institutional clients.

The Quantina Corporate Debenture is a fixed-income investment product offering a fixed 8% per annum return. The capital raised through these debentures is strictly utilized to fund and scale Quantina’s proprietary technological infrastructure, quantitative research labs, and automated algorithmic trading liquidity. Detailed terms, frequencies, and structures can be found in our official Investment Memorandum.

Yes, transparency and regulatory compliance are core pillars of our ecosystem. Quantina Ltd. and Quantina Intelligence Limited operate strictly within international legal frameworks. Any market insights, trade copying services, or intelligence reports we publish are legally sourced from publicly accessible disclosures, fully complying with the guidelines of regulatory bodies such as the UK Financial Conduct Authority (FCA) and the U.S. Securities and Exchange Commission (SEC).