Apply the Intelligent Quantitative Investing approach to enhance your performance.

The capital market sector is constantly evolving. Changes driven by technology, regulation, and increasingly complex business dynamics are shaping how investments are managed.

This is a nuanced scenario that demands high levels of automation and, most importantly, new approaches to address a situation of significant change and intense competition.

Intelligent Quant Investing is the financial approach that bases decisions and operations on objective data analysis through the use of models and knowledge from economic, financial, and quantitative mathematical disciplines, along with recent techniques from artificial intelligence.

Based on real-time processing of large amounts of data, it enables the identification of trends and investment opportunities more accurately and rapidly than a discretionary approach.

The result is a structural competitive advantage for financial intermediaries:

  • risk reduction: investment decisions are made more informedly, based on objective data and advanced analysis;
  • ability to capture more market opportunities: It allows for identifying trends and opportunities that may be missed with a traditional approach;
  • automation enhancement: Using models and algorithms automates the process, reducing decision-making delays;
  • margin increase: cost reduction and efficiency improvement.

Sparkling Rocks is the ATS Group’s company specialized in Quantitative Investing that supports financial operators towards Intelligent Quantitative Investing applied with an approach based on consulting and operational training, along with Jagged Island, the innovative platform designed natively for IQI processes.

If you want to learn more about Intelligent Quantitative Investing, please fill out the form to receive our White Paper.


Intelligent Quantitative Investing is a rapidly evolving approach with the potential to transform the financial sector. It offers numerous benefits to practitioners but also presents challenges that must be carefully managed.

Key Features of Intelligent Quantitative Investing

  • Scientific approach: It is based on mathematical, statistical, and economic-financial principles.
  • Adaptable models: It utilizes models that can learn from data and adapt to changing market conditions.
  • Advanced risk management: It integrates risk management models to mitigate potential losses.
  • Operational efficiency: It automates decision-making and execution processes.

Advantages of Intelligent Quantitative Investing

  • Operational efficiency and cost reduction
  • Big data analysis and market pattern identification
  • Adaptability to market conditions and advanced risk management
  • Access to new investment opportunities and rapid market event response
  • Diversification of strategies and leveraging machine learning
  • High-frequency trading capabilities

Challenges of Intelligent Quantitative Investing

  • Managing complexities
  • Need for specialized skills
  • Algorithm oversight
  • Ethical concerns about data usage

The future of Intelligent Quantitative Investing

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