Crypvidia analyses market data continuously and adjusts its recommendations to your personal risk tolerance, so your portfolio strategy does not depend on which city you happen to be in when the markets move.
Market conditions do not pause for layovers, and risk does not wait for a stable connection. The friction is rarely a lack of information — it is finding time to interpret it correctly before it becomes outdated.
The system learns from your historical decisions and stated preferences, then recalibrates its thresholds as your situation changes — without requiring you to rebuild a strategy from scratch each time.
Incoming data is processed continuously rather than on a fixed schedule, so recommendations reflect current conditions even when you are offline for several hours.
Guardrails flag exposure that falls outside your configured tolerance and suggest adjustments before conditions deteriorate, rather than reporting losses after the fact.
Market feeds, historical records, and macroeconomic indicators are normalized into a single model, reducing the manual reconciliation that fragmented sources usually require.
Data refresh intervals adapt to asset volatility rather than running on a fixed timer. Model parameters are versioned, so you can review which configuration produced a given recommendation. All processing runs server-side, meaning the dashboard remains lightweight on mobile connections.
Answer a short set of questions about capital, time horizon, and acceptable drawdown. This becomes the baseline for every subsequent recommendation.
Link the exchanges, accounts, or feeds you already use. Crypvidia reads existing positions rather than requiring you to re-enter them manually.
The model produces its first set of guardrails and recommendations, which you can adjust before automation takes over fully.
From this point, the system monitors conditions continuously and only surfaces alerts when a decision genuinely requires your input.
The underlying logic does not aim to eliminate your judgment — it filters out the routine monitoring so that the decisions reaching you are the ones that actually warrant attention, regardless of your current location or sleep schedule.
Inputs are sourced from licensed market data providers and reconciled against multiple feeds before being used in any recommendation, reducing the impact of a single faulty source.
Account connections use read-only API scopes wherever the provider supports them, and data in transit is encrypted. Servers are hosted within the EU to align with regional data protection expectations.
Model output is backtested against historical periods and reviewed against live performance on a rolling basis, with configuration versions logged so results remain traceable over time.
Initial configuration typically takes under fifteen minutes, including connecting a data source and completing the risk questionnaire. Fine-tuning afterward is optional and can be done incrementally.
The model continues running server-side and applies your configured guardrails without requiring the dashboard to stay open. When you reconnect, you will see a log of what changed and why.
By default, recommendations require your confirmation before execution. You can enable automated execution within defined limits, but the scope of that automation is something you set explicitly.
Data is stored on servers located within the EU. Access is limited to the systems required to generate your recommendations, and account connections use read-only permissions where supported.
It adjusts automatically based on observed behavior and market conditions, but you can override or reset the profile manually at any time if your circumstances change abruptly.
Have a question not covered here? Get in touch with our team.
Start with a short questionnaire and a single connected data source. You can expand the configuration later as your situation changes.
Configure Your Risk ProfileNo trading permissions are required to begin. Read-only access is sufficient for the initial setup.