About Sablevor
Built to make idle capital work harder, more precisely
We started Sablevor to close a simple gap: the time between contracts, when capital sits idle, deserves the same analytical rigour as any active position.
Our Story
From a recurring problem to a dedicated discipline
Sablevor was founded around a recurring observation: teams managing capital between contracts were making decisions with the same tools they used for active trading, even though the underlying problem — what to do with money that has no immediate destination — is fundamentally different.
We built a data-driven approach specifically for that gap, treating idle-period allocation as its own analytical discipline rather than an afterthought bolted onto existing systems.
That focus has shaped everything since: the models we use, the reporting we produce, and the way we talk to clients about what the data actually supports.
Our Mission
Turn analysis into decisions, not just reports
Our mission is straightforward: give teams a clear, evidence-based view of how to handle capital during contract gaps, so decisions are grounded in analysis rather than guesswork or default behaviour.
We measure our own work by whether it actually changes a decision for the better — not by the sophistication of the model behind it. If an output doesn't help someone act more deliberately, we consider it unfinished.
The idle window is where our work is concentrated — not before it, not after.
What Guides Us
Principles that shape how we work with clients
Evidence over assumption
Every recommendation is traceable to underlying data. We avoid generic advice that isn't tied to a client's actual situation.
Clarity over complexity
Sophisticated analysis is only useful if it's understandable. We aim for outputs a decision-maker can act on without a translator.
Restraint over overreach
We say what the data supports and no more. Where uncertainty exists, we surface it rather than smooth it over.
Our Team
People who work at the intersection of data and decision-making
Analytical background
Our team brings experience in quantitative analysis and data modelling, applied specifically to the question of capital held between contracts.
Client-facing discipline
We work directly with the people making allocation decisions, not just with dashboards, so context and constraints inform every analysis.
Continuous refinement
Our methods are reviewed and adjusted as we see how they perform across different clients and contract structures.
Plain communication
We write and present findings in language intended for decision-makers, not just for other analysts.