Rosetta Analytics Inc | Changing the Status Quant

Our Raison d’ Être

Investors today often fail to meet their investment goals because active managers using traditional quantitative techniques struggle to deliver promised excess returns.

We believe that investors deserve better – better performance and better alignment.

That’s why we started Rosetta Analytics: to move beyond the status quo, using advanced artificial intelligence like deep learning and deep reinforcement learning to build robust investment strategies.

And we’re collaborating with our clients and partners to build these strategies, resulting in a better alignment of investment outcomes with investor goals.

Percentage of actively managed funds underperforming their indexes over 15 years:

U.S. equity funds87%

87%

International equity funds90%

90%

US government long-duration funds98%

98%

Emerging market equity funds94%

94%

Data source

How Are We Changing The Status Quant?

We let the data speak for itself.

We develop powerful autonomous computational algorithms that identify actionable insights in traditional and non-traditional data that are hidden from conventional investment processes.

We use these original and powerful insights to create scalable active investment strategies that aim to deliver the returns and diversification that investors seek.

We hire non-traditional talent and give them the freedom and resources they need to develop and deploy these methods.

We built a fully functional AWS-based R&D lab that supports large-scale, parallel, compute-intensive explorations. And we’re including our clients and partners in the R&D process, providing us with valuable user context and ensuring an alignment of client goals with investment outcomes.

We employ rigorous model construction and testing procedures to avoid overfitting.

ADVANCED AI APPLIED

Our solutions are all homegrown, built from the ground up specifically to apply to the financial markets.

TESTED...

We’ve built powerful self-learning computational algorithms that can detect complex non-linear patterns in highly stochastic time-series data.

We have developed and tested a deep reinforcement learning platform that solves multi-asset optimization problems in a novel and powerful way.

We have successfully developed and deployed a deep-learning platform that drives two live, externally funded investment strategies.

These platforms are readily scalable, flexible, and built to solve a variety of problems.

THE ROSETTA ANALYTICS TEAM

We are led by a veteran leadership team with native knowledge of investment and a deep understanding of the needs and expectations of its clients and partners.

Julia Bonafede, CFA

Co-Founder

“Investors shouldn’t compromise on earning consistent net-of-fee returns when actively allocating to risky assets. Traditional quantitative methods continue to produce homogeneous and suboptimal performance. Asset managers must adapt. The use of deep neural networks to forecast active trades is inevitable. The Rosetta Analytics investment platform is vastly ahead of the majority of established asset managers.”

Angelo Calvello, PhD

Co-Founder

“We believe that with the right team, partners, and culture, deep learning and reinforcement learning could be used to discover and exploit a persistent investment edge.”

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