Algorithmica Reports 35% Return in First Fiscal Year, Driven by Machine Learning Trading Technology
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"In the first half of 2025 alone, the Managed Accounts Index posted a 21.1% return, significantly outperforming the S&P 500's total return of approximately 6%," said Charles Lombardo, a Managing Partner of Business Development at Algorithmica. "The strategy recorded a Sharpe Ratio of 2.48 and maintained a low Beta of 0.14, further highlighting how decorrelated our system's strategies are to the S&P 500."
"We are very pleased with the performance achieved by our machine learning technology, as independently confirmed in the PwC report," said Dr. Ioannis Foteinopoulos, Co-Founder and Managing Partner at Algorithmica. "Our prediction engines generate weekly forecasts on the most liquid exchange-traded instruments globally using ex-post data. Portfolio construction and execution are fully systematic and factor-driven, removing human discretion."
"Our proprietary software infrastructure enables licensed clients to connect Algorithmica's technology to nearly any brokerage or traditional custodian account via secure API bridges worldwide," added Alessandro Gallani, Head of Information Technology.
Algorithmica's technology is currently powering four Actively Managed Certificates (AMCs) listed on major European exchanges and accessible to retail, professional, and institutional investors across the UK, EU, and Switzerland.
Algorithmica is a Switzerland based quantitative technology firm who applies the principles of Artificial Intelligence (AI) to deploy prediction engines on liquid exchange traded assets in client accounts. The prediction engines provide weekly and monthly projections for the expected movement of asset prices. The firm has offices in Switzerland, Greece, UAE and the US. Algorithmica's technology is available for professional, institutional, and qualified users only. For more information, visit Algorithmica's website at algorithmica.ch.
Algorithmica SA Contacts
Charles Lombardo,
+1.813.808.0993,
+41 91 262 2092
[email protected]
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