AI-Driven Decision Infrastructure
Axon Lite parameterizes predictive models against your transaction history and portfolio behavior, then adjusts exposure thresholds on a fixed cycle. You retain override control at every step; the system never trades without authorization.
Illustrative output from a sample parameter set. Not a live feed.
Methodology
The system does not ask investors to self-report risk appetite once and forget it. Instead, it infers tolerance from observed behavior and recalibrates on a defined cycle.
Historical transaction patterns, holding periods, and reaction to drawdown events are logged to build an initial risk profile.
Exposure limits, rebalancing frequency, and alert sensitivity are tuned against the profile, not against a fixed template.
Proposed allocation changes are run against historical stress scenarios before being surfaced as a recommendation.
Each cycle compares actual outcomes to projected ones and adjusts the next set of parameters accordingly.
Capabilities
Core parameters governing data intake, model behavior, and alerting. Figures reflect configurable defaults, not fixed limits.
| Parameter | Value |
|---|---|
| Market feed latency | <400ms |
| Historical lookback window | 60 months |
| Supported instrument classes | 4 |
| Daily ingestion volume cap | configurable |
| Parameter | Value |
|---|---|
| Recalibration interval | 24h |
| Volatility tolerance bands | 5 tiers |
| Drawdown sensitivity | adjustable |
| Backtest horizon per cycle | 36 months |
| Parameter | Value |
|---|---|
| Threshold breach notice | immediate |
| Delivery channels | email, in-app |
| False-positive suppression | enabled |
| Configurable sensitivity levels | 3 |
Scenario Analysis
Parameters shift materially depending on tolerance classification. The table below reflects typical default configurations before personalization begins.
| Parameter | Conservative | Balanced | Growth-oriented |
|---|---|---|---|
| Max drawdown target | 6% | 12% | 22% |
| Rebalancing frequency | weekly | weekly | daily |
| Alert sensitivity | high | medium | low |
| Recommended review cycle | 30d | 14d | 7d |
Allocation recommendations prioritize capital preservation. The model flags volatility spikes early and suggests reduced exposure ahead of scheduled rebalancing.
Exposure is adjusted gradually across the review cycle. Alerts are tuned to filter short-term noise while still surfacing sustained trend shifts.
Recalibration runs daily to capture shorter-term opportunities. Drawdown tolerance is wider, with alerts reserved for material threshold breaches.
Security & Transparency
Built with German and EU regulatory expectations as a baseline, not an afterthought.
FAQ
Common technical and operational questions from first-time investors evaluating the platform.
No. Axon Lite generates recommendations and adjusts parameters, but every allocation change requires explicit user confirmation before execution.
It infers tolerance from observed behavior — holding periods, reaction to drawdown, and rebalancing frequency — rather than relying solely on a one-time questionnaire.
Yes. Every recommendation can be rejected or modified. Overrides are logged and factored into the next recalibration cycle.
Connection to a supported brokerage or custodian account via read access for transaction history. No manual data entry is required for the baseline profile.
Pricing is tiered by account complexity and recalibration frequency. Exact terms are confirmed during onboarding based on account configuration.
No commitment required to view your initial calibration output.
