Synthetic Financial Market Data

Synthetic Financial Market Data

Synthetic Financial Market Data

We generate realistic yield curves, stock prices, FX rates and more using cutting edge generative AI, so professional investors can test their portfolios on thousands of unseen market scenarios and unlock novel insights previously beyond reach.


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Why Synthera.ai?

Tackling Investment Challenges Head On

Tackling Investment Challenges Head On

In an era where traditional financial models are constrained by rigid mathematical frameworks, professional investors face a myriad of challenges in accurately simulating and forecasting evolving market dynamics. Synthera.ai steps in to bridge this gap, offering innovative synthetic data solutions using generative AI, that enhance simulations and forecasts.

Discover how we address the critical challenges investors face today:

Limitations of Monte Carlo Simulations

Monte Carlo simulations assume a fixed distribution, often underestimating tail risk and missing critical information. Our dynamic models adapt to changing conditions and learn the data's true distribution, offering a more realistic appraisal of market scenarios and risk.

Monte Carlo simulations assume a fixed distribution, often underestimating tail risk and missing critical information. Our dynamic models adapt to changing conditions and learn the data's true distribution, offering a more realistic appraisal of market scenarios and risks.

Monte Carlo simulations assume a fixed distribution, often underestimating tail risks and missing critical information. Our dynamic models adapt to changing conditions and learn the data's true distribution, offering a more realistic appraisal of market scenarios and risk.

Underestimation of Volatility and Drawdown

Underestimation of Volatility and Drawdown

Traditional risk metrics systematically underestimate tail risks, leaving investors unprepared in times of stress. Synthera.ai leverages AI to better capture these extremes, enhancing the precision of VaR, volatility, and other risk metrics.

Inflexible Stress Tests That Don't Reflect Your Market View

Inflexible Stress Tests That Don't Reflect Your Market View

Incorporate your unique market views into stress tests with Synthera.ai. By using advanced generative AI, our models can pick up on hundreds of non-linear correlations, allowing for customized scenarios that mirror your specific concerns and hypotheses.

Incomplete Historical Data

Incomplete Historical Data

Synthera.ai fills the gaps left by historical data, providing a richer, more comprehensive dataset for analysis, ensuring you are not making decisions with missing pieces.

Overfitting

Overfitting

Our synthetic data helps you develop models that are robust across thousands of market conditions, avoiding the pitfalls of overfitting to past market behavior.

Limitations in Yield Curve Modeling

Limitations in Yield Curve Modeling

Use our AI to improve your predictions on yield curve shifts, helping you stay ahead of interest rate changes. Our technology accurately grasps the complexity of yield curve structures, offering you more reliable simulations and predictions.

How Synthera.ai Can Help You

Unlock new insights into your portfolio, previously beyond reach. With Synthera.ai, explore new dimensions of your data and investment strategies:

Unveiling the true structure of your data

Discover the underlying structure of your data, unlocking hidden patterns and relationships. Break out of the limitations of Monte Carlo simulations and the static distributions upon which thousands of models, strategies and signals in the world of finance are based on.

Discover the underlying structure of your data, unlocking hidden patterns and relationships. Break out of the limitations of Monte Carlo simulations and the static distributions upon which thousands of models, strategies and signals in the world of finance are based on.

Predicting changes in asset correlations

Understand how the correlations within your portfolio are likely to evolve under different market conditions, equipping you with the knowledge to make informed adjustments. Our AI reveals non-linear or multi-dimensional correlations between assets, providing a deeper understanding of how your investments interact and influence each other.

Conducting tailored stress tests

Stress test your portfolio in ways that truly reflect your market outlook and the specific risks you face, ensuring your strategies are resilient under various scenarios.

What We Do

Sample synthetic yield curve

Our synthetic data is redefining portfolio analysis with AI-driven dynamic scenario testing, predictive analytics, and deep portfolio insights. Unlike traditional parametric methods that rely on static assumptions, our approach can detect emerging patterns and subtle yet significant shifts in asset correlations amid evolving market conditions, uncovering insights previously hidden. Whilst traditional methods merely skim the surface with historical data, Monte Carlo simulations lose vital signals and underestimate tail risk, creating statistical blind spots that expose investors to unexpected risks. Our system comprehensively captures the full range of market scenarios, grasping dynamic, non-linear correlations and long-term dependencies that enable investors to identify untapped opportunities and mitigate latent risks with unmatched precision.

Our synthetic data is redefining portfolio analysis with AI-driven dynamic scenario testing, predictive analytics, and deep portfolio insights. Unlike traditional parametric methods that rely on static assumptions, our approach can detect emerging patterns and subtle yet significant shifts in asset correlations amid evolving market conditions, uncovering insights previously hidden. Whilst traditional methods merely skim the surface with historical data, Monte Carlo simulations lose vital signals and underestimate tail risks, creating statistical blind spots that expose investors to unexpected risks. Our system comprehensively captures the full range of market scenarios, grasping dynamic, non-linear correlations and long-term dependencies that enable investors to identify untapped opportunities and mitigate latent risks with unmatched precision.

Meet the Team

Mariana Barona, Co-Founder and CEO

Mariana Barona, Co-Founder and CEO

Prior to joining tech incubator Entrepreneur First, where Synthera.ai was founded, Mariana spent over two years at Goldman Sachs Asset Management, working with institutional clients on multi-asset portfolios, quantitative investment strategies and equities. Mariana graduated with a first class honours degree in History from the University of Cambridge.

Lukas Schreiner, Co-Founder and CTO

Lukas Schreiner, Co-Founder and CTO

Prior to joining Entrepreneur First, Lukas spent over five years as a quantitative engineer, with two years of experience consulting specifically in AI for quantitative finance. Lukas has three masters degrees in Artificial Intelligence (Maastricht University), Quantitative Finance and Economics (University of St. Gallen) and International Management (CEMS).

Our Scientific Advisor

Professor Rama Cont, Scientific Advisor

Rama Cont is Professor of Mathematics at the University of Oxford and head of the Oxford Mathematical & Computational Finance group. Professor Cont is a distinguished figure in the field of quantitative finance, globally renowned for his pioneering contributions to financial mathematical modeling and quantitative risk management. His groundbreaking research on stochastic analysis, market liquidity, systemic risk and machine learning has been widely published in top-tier journals. He has also been honored with numerous awards for his academic excellence and has acted as a consultant to major financial institutions and regulatory bodies worldwide, influencing both academia and industry. His knowledge and expertise will be of great value to Synthera AI.