Pytheas uses cutting-edge Deep Learning models to make predictions for the future trends of equity markets
Our model performs a thorough statistical analysis of upcoming trends, allowing investors to anticipate future returns and volatility in their portfolio
We use best-practice techniques to identify which inputs are most relevant for each prediction, allowing users to clearly see what is driving their portfolio strategy
Our model is designed to have an explainable decision-making process. We utilize generative AI models to give clear and concise descriptions of our process at every step
Our Adaptive Core Portfolio strategies incorporate the predictive power of Pytheas into a dynamic reallocation strategy for your portfolio. We shift into defensive, neutral, and aggressive allocations depending on the predicted trend of the overall equity market, then lean in and out of specific sectors depending on their individual trends.
*None of the information provided here constitutes a financial recommendation or a solicitation for financial transactions. These are illustrative examples to show the capabilities of our product.
We aim to make our technology accessible for individuals with little to no knowledge of Machine Learning. For this reason, we have incorporated a Generative AI analysis which will analyze each step of our predictive process, and then summarize the outputs in a readable and concise paragraph. This allows users to see exactly which factors lead to a given prediction, and to easily understand the complex analytical outputs of our model.
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