Joreva Alyris automates the analysis of complex financial data so that your decisions no longer depend on a fixed office or a permanent presence in front of the markets. The models run continuously, wherever you are.
Start a scanBetween time zones, conflicting notifications and intermittent connection, cognitive overload becomes the main obstacle to clearly reading market volatility.
Consulting ten different indicators between two flights often leads to reactive choices rather than a constructed strategy.
Without a consolidated history, a one-off variation can be confused with an underlying trend, which leads to hasty arbitrage.
Changing workplaces every week interrupts manual position tracking and weakens the consistency of decisions over time.
Digital nomadism does not reduce the complexity of markets: it simply removes the comfort of a stable workstation to analyze it. Cognitive overload is not a lack of rigor, it is a direct consequence of the volume of data to be processed on the move.
Joreva Alyris shifts this analytical burden to a system that operates continuously, regardless of your location or availability.
Each module deals with a distinct function of the decision chain, from raw data to actionable recommendation.
Statistical models trained on historical series estimate the probability of several market scenarios, without claiming to predict a single and certain outcome.
Market feeds are ingested and recalculated continuously, allowing regime change to be detected before it becomes visible in traditional daily summaries.
Exposure thresholds and correlation alerts limit the impact of an isolated decision on the entire portfolio, based on rules defined in advance.
Rather than highlighting customer reviews, Joreva Alyris publishes an execution log that can be consulted by the user community. The data is supposed to speak for itself, without staging.
| Timestamp | Signal generated | Asset concerned | Verification Status |
|---|---|---|---|
| Format YYYY-MM-DD HH:MM | Exposure adjustment recommendation | Asset class followed | Verified by third-party timestamp |
| Format YYYY-MM-DD HH:MM | Correlation Alert | Monitored cart | Verified by third-party timestamp |
The complete log, with actual values and their history, is accessible from your space after creating an account. The table above only illustrates the column structure.
Consult the calculation and verification methodology →The system continues to process market feeds during your travels, flights and offline periods, then syncs the findings as soon as you are back online.
Models run on remote servers on a fixed schedule or continuously, without requiring your validation at each step. When you reconnect, you find a prioritized list of decisions to examine, rather than a raw flow of data to interpret alone.
Risk parameters defined in advance – exposure thresholds, excluded assets, alert levels – remain active even when you are offline for several days.
The mobile interface favors hierarchical summaries rather than dense dashboards. Significant changes since your last session are highlighted as a priority, to limit the reading time necessary to regain control.
Reports can be viewed offline, eliminating the need to rely on a stable connection at the precise moment a decision needs to be made.
Connection data and wallet settings are encrypted in transit and at rest. No account information is shared with third parties for commercial purposes. Access to your space requires dedicated authentication, independent of your brokerage identifiers.
Yes. The platform supports API connections to popular market data providers as well as select compatible brokers. The configuration is done from your space, without technical intervention on our part, with documentation dedicated to the expected formats.
No. The templates come pre-configured with reasonable default settings. You can adjust the risk thresholds and asset classes tracked without writing code or understanding the details of the underlying calculations, which remain documented for anyone who wishes to audit them.
Access is based on a monthly subscription with no minimum commitment. The access level determines how often analytics are refreshed and how many data streams are connected simultaneously. The details of the levels are presented before any account creation.