Financial Machine Learning
Orion is built on the principle that Financial Machine Learning can make portfolio management radically more accessible. By combining data-driven insights with automated execution, Orion enables smarter, more adaptive investment strategies - available to everyone.
Why It Matters
In traditional finance, advanced portfolio optimization tools are reserved for institutions and hedge funds.
Orion brings these capabilities onchain, so:
- Everyday users can access strategies that simplify decision-making.
- Experienced managers can enhance performance with data-driven insights.
- All participants can benefit from automated allocation.
Two Core Approaches
Orion supports two main styles of portfolio management:
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Passive Portfolios - Simple, rules-based strategies (e.g., indexes) that automatically rebalance.
- Great for users who want hands-off, predictable exposure.
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Active, Machine Learning Driven Strategies - Adaptive models that adjust allocations in real time.
- Ideal for users seeking more dynamic, performance-focused portfolios.
Powered by skfolio
Under the hood, Orion integrates skfolio, an open-source portfolio management library for quantitative finance. This allows vault strategies to leverage advanced statistical techniques, from covariance analysis to risk-adjusted optimization, while keeping everything verifiable and onchain.
What This Means for You
With Financial-Machine-Learning-powered vaults, you can choose a strategy that matches your style:
- Stay passive with transparent, rules-based allocations.
- Go active with private, adaptive models seeking to maximize performance.
In both cases, Orion handles execution in the background - rebalancing at set intervals, keeping costs low, and protecting strategy details where needed.