Black Belt Labs
Black Belt Labs develops financial trading algorithms calculated using quantum computers, addressing the failure of traditional models like CAPM and Black-Scholes in today's volatile markets. The company publishes all research openly and deploys results through a REST API, enabling finance professionals to integrate quantum metrics into existing trading pipelines. Its research focuses on modern portfolios containing crypto-assets, stablecoins, ETFs, and derivatives.
- Financial Technology
- Quantum Computing
- Data & Analytics
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Traditional financial models such as CAPM, Black-Scholes, and Portfolio Theory rely on assumptions like normal distributions and stable correlations that no longer hold in today's markets. Core inputs including mean, variance, and covariance matrices are unreliable in an environment characterized by extreme volatility, tail risks, flash crashes, technical outages, and price jumps, particularly with the rise of crypto-assets, stablecoins, ETFs, and derivatives.
Solution
Quantum Financial Algorithms is an independent interdisciplinary research organization that develops financial trading algorithms calculated using quantum computers. The company focuses on modern portfolio compositions that include crypto-assets, stablecoins, ETFs, DATs, and associated derivatives and leverage, providing a solid theoretical foundation where existing science is obsolete. All research is published openly and made available to everyone, ensuring transparency and broad accessibility. Research results are rapidly deployed through APIs, allowing finance professionals and firms to integrate quantum-derived metrics into their existing systems quickly. The organization operates as both a general and contract research organization, serving academic, industry, and consulting stakeholders. The platform offers a straightforward three-step process—obtain an API key, integrate quantum metrics into existing pipelines, and trade with the results or resell them.
Target Audience
Primary stakeholders include international research organizations, financial industry participants, and finance professionals such as analysts and developers at banks, hedge funds, prop traders, and asset managers. The platform also serves universities, students, consultancy firms, and independent consultants.
Features
- Quantum-computer-based algorithm calculation addressing extreme volatility, tail risks, flash crashes, and price jumps
- Open research model where all findings are publicly published and freely accessible
- REST API for on-demand retrieval of quantum metrics, enabling integration into existing trading pipelines
- Research themes oriented toward modern asset classes including crypto-assets, stablecoins, EMTs, proxy stocks, ETFs, and DATs
- Contract research capabilities for bespoke algorithm development alongside general research output
- Governance by a steering committee promoting open research, supported by doctoral and post-doctoral researchers