About Neural-Q

Quantitative investment system with solid fundamentals

Neural-Q is a transparent and fundamentally sound multi-algorithmic investment system. It operates similarly to a traditional asset manager but employs AI-driven, systematic, and unbiased analysts. These AI analysts are trained to comprehend the complex relationships between the macroeconomic environment and the assets within its investment universe. Organized into teams, these analysts collaborate with each other to construct the final portfolio.

"Quantitative investment strategies should have a fundamental explanation to ensure lasting results. You can be right for the wrong reasons."

Inside Neural-Q

Investment Universe

The investment universe can be understood as the set of all possible investments that can be made by Neural-Q.

Having a defined investment universe means that investors know and understand at all times the investments that are being made on their behalf.

The investment universes used by any of our strategies are highly liquid, which means investors can access their funds at any time.

Macroeconomic Indicators

More than 500+ macro economic variables with more than 60 years of historical information power our macroeconomic models.

These indicators are specifically designed to measure where the economies relevant to the strategy investment universe stand in their economic cycle.

By analyzing key indicators, we can pinpoint the current economic phase. This information is crucial for Neural-Q, which uses it to adapt to the current macroeconomic environment effectively.

Neural-Q

In today's data-driven era, the volume of data generated far exceeds the capacity of human analysis. Neural-Q is a system of AI analysts trained to analyze and understand complex relationships between the dynamic macroeconomic environment and investment universe price dynamics. It identifies the most attractive investment opportunities by:

  1. Macroeconomic Analysis: Neural-Q analysts review over 1000 macroeconomic variables to determine the current economic cycle stage.
  2. Historical Returns Review: Analysts review asset price behavior in similar past economic conditions.
  3. Predictive Modeling: By learning complex relationships between the economic data and asset price dynamics, each analyst estimates the returns of the assets until the next portfolio rebalance.
  4. Portfolio Optimization: Leveraging the previously calculated return forecasts, Neural-Q optimizes portfolios for resilience and adaptability in varying market conditions.

Optimum Portfolio Calculation

Once the Neural-Q has calculated the portfolio, our team of experts review the results to ensure the following:

  1. Error Checking: Rigorous validation procedures are implemented to verify the integrity and accuracy of Neural-Q's recommended portfolio. This is designed to mitigate any operational risks, safeguarding our investors.
  2. Performance: We combine the precision and emotionless side of algorithms with human foresight to counterbalance both sides limitations. This gives us an edge over other investment strategies.

Human intervention in our portfolio determination process is rare, necessary only in scenarios with unprecedented events. Such events, having no historical precedent, are not in our database and thus are not factored into Neural-Q portfolio calculations by default.

Examples of these events include: The COVID-19 Pandemic, The Russian-Ukraine Conflict and The Israel-Palestine Conflict.