Built for precision, designed for speed
Every tool inside Raven Capnode is engineered around one objective: turning raw market data into decisions you can act on in minutes, not weeks.
Used by professionals who require clarity before capital commitment. Capital at risk.
Everything required, nothing superfluous
A compact toolset covering data ingestion, analysis, and execution — without the clutter of features you'll never open.
Predictive Modelling
Statistical models process historical and live market data to surface forward-looking probability ranges, updated continuously as new information arrives.
One-Click Deployment
Move from analysis to allocation without re-entering data across separate systems. Review the proposed structure, confirm, and deploy.
Risk Calibration
Set exposure thresholds once and have every subsequent suggestion filtered through your defined risk tolerance automatically.
Scenario Comparison
Run parallel allocation scenarios side by side to understand trade-offs before committing, with no limit on how many you test.
Audit-Ready Reporting
Every decision point is logged and exportable, giving you a clear, timestamped record of the reasoning behind each allocation.
Adaptive Alerts
Notifications are prioritised by relevance to your current holdings rather than broadcast volume, reducing noise without reducing coverage.
From raw data to deployed portfolio
A three-stage process designed to remove friction at every handoff.
Connect & Ingest
Link your existing data sources or use the built-in feeds. Raven Capnode normalises everything into a single structured view.
Model & Compare
Generate predictive scenarios, adjust risk parameters, and compare outcomes until the structure matches your objective.
Deploy & Monitor
Confirm the allocation in a single action, then let adaptive alerts keep you informed as conditions change.
See how the model is reasoning, not just what it recommends
Transparency sits at the centre of the interface — figures below illustrate how allocation confidence is represented within the platform.
Where these features matter most
Comparison
Compare before you commit
Rather than committing to a single projection, build several allocation scenarios in parallel. Raven Capnode lays out the assumptions behind each one so you can weigh them on equal terms before choosing a direction.
Stay informed without the noise
Once deployed, a portfolio still needs watching. Adaptive alerts surface only what's relevant to your current holdings, so attention goes to genuine shifts rather than routine market chatter.
Common queries, answered directly
Can I use my own data sources alongside the built-in feeds?
Yes. Raven Capnode is designed to ingest external data alongside its native feeds, normalising both into the same structured view used for modelling.
How often do predictive models refresh?
Models update continuously as new market data arrives, rather than on a fixed daily or weekly schedule, so recommendations reflect current conditions.
Is there a limit to how many scenarios I can compare?
No. You can build and compare as many parallel scenarios as you need before deciding which structure to deploy.
What does the audit log actually capture?
It records each decision point in the process — the data inputs, the scenario chosen, and the timestamp of deployment — so the reasoning behind an allocation can be reviewed later.
Put these features to work
Initialise a portfolio within Raven Capnode and see how predictive modelling, scenario comparison, and one-click deployment fit together in practice.
Capital at risk. Past performance and modelled scenarios are not a reliable indicator of future results.