A disciplined, backtested approach to idle capital
We built Netropolis around one problem: businesses with surplus cash between contracts need a model-driven way to allocate it, not a guess. Here is how we approach that problem differently.
What sets Netropolis apart
We don't sell a single strategy and hope it fits every balance sheet. We run backtested models against your specific capital horizon and risk tolerance, then show you the reasoning before you commit anything.
Models are backtested, not back-of-envelope
Every allocation path we present has been run against historical scenarios before it reaches you. We treat the backtest as the starting point for a conversation, not a marketing claim — you see the assumptions, not just the output.
Illustrative allocation scenario across a sample contract gap period.
Designed around the contract-to-contract cycle
Surplus capital between contracts behaves differently from long-term reserves. It needs to be accessible, risk-aware, and time-boxed. Our models are structured around that specific window rather than borrowed from generic wealth management templates.
Capital held and released across a simulated multi-contract timeline.
You see the inputs behind every recommendation
We don't present a single number and ask for trust. Our process walks through the data a model was tested against, the assumptions it carries, and where it is likely to underperform — so the decision stays yours.
Sample performance trace used to illustrate model behaviour under review.
A process built on scrutiny, not shortcuts
Understand the capital window
We start by mapping how long your surplus capital is genuinely idle, and what constraints — liquidity, risk appetite, timing — apply to it.
Backtest candidate models
Relevant allocation models are run against historical data that matches your capital profile, not a generic benchmark.
Review the results together
We walk through what the backtest showed, including its limitations, so you can decide with the full picture in front of you.
We'd rather be clear than impressive
A lot of capital allocation services lead with confidence. We lead with the data behind the recommendation. If a model's backtest shows weak performance under certain conditions, we say so — because the goal is a decision that holds up, not a pitch that sounds good.
That means fewer sweeping promises and more conversations about assumptions, time horizons, and what could go wrong. If that approach matches how you want to manage surplus capital, we're a good fit.
Start your analysisWhere this differs from a typical advisory relationship
Model-driven, not opinion-driven
Recommendations come from backtested scenarios specific to your capital window, rather than a generalized house view applied to every client.
Scoped to idle capital
We focus specifically on surplus funds between contracts, rather than treating it as an extension of long-term investment planning.
Assumptions stay visible
You see what each backtest was run against and where it may not hold, so the final decision is made with context, not just a headline figure.
See how a backtested model applies to your capital
Bring us your contract timeline and surplus figures, and we'll walk through what a model-driven allocation could look like.