Predictive analytics for capital
Nexavorynq monitors market volatility in real time and adjusts exposure parameters without requiring daily manual intervention from you.
The Nexavorynq engine transforms heterogeneous data streams into allocation actions limited by the risk accepted by each account through a four-step process.
Continuous collection of prices, volumes and macroeconomic indicators from public and market sources, synchronized to the second.
The data series are time-aligned and filtered to separate structural movements from short-lived fluctuations.
A dedicated model estimates each account's loss tolerance based on allocation history and manually set parameters.
The results of the two modules are combined into a set of allocation actions, limited by the active exposure caps.
Each recommendation is the combined result of processing speed, continuous risk recalibration, and probabilistic modeling, not a single static formula.
An account's loss tolerance is not fixed. The system re-evaluates account behavior and recent results every cycle, and exposure caps adjust accordingly, within limits manually set by the user.
The time between a market event and the recalculation of the allocation is under 900 ms, with continuous reconciliation of price discrepancies between sources.
Time series models estimate multiple scenarios for each time horizon, reflecting real market uncertainty, not a single firm figure.
The interface does not hide the logic behind the recommendations. All exposure parameters and AI autonomy level are displayed numerically, updated with each recalibration.
| Indicator | Current value | Target range |
|---|---|---|
| Net exposure | 38.4% | 30–45% |
| Maximum drawdown (30 days) | 4.1% | <6% |
| Recalibration rate | 24 / day | configurable |
| AI autonomy level | 2 | 0–3 |
The level of AI autonomy determines how much the system can deviate from the current allocation without manual confirmation. At level 0, any change to exposure requires explicit approval; at level 3, the system executes the complete decision path, within the limits of the set ceilings.
Each version of the model is run on historical data spanning multiple market cycles, including periods of high volatility, before being put into production. Results are compared to the previous version, not just a generic benchmark.
Data is encrypted both in transit and at rest. Production and test environments are separated, and internal access is role-based, with logging of actions that affect an account's risk parameters.
The platform is built to allow the export of the history of decisions and the risk parameters used, so that each user can independently verify the path of a recommendation.
Straightforward answers to the most common technical questions from those trying an auto-allocation tool for the first time.
The platform does not impose a fixed minimum ceiling at product level; the limit depends on the connected brokerage account. We recommend sufficient capital so that commission differences do not distort the risk-adjusted return.
Withdrawal depends on the liquidity of the instruments in the portfolio and the terms of the brokerage account used, not on Nexavorynq itself. The system does not block funds or impose its own downtime.
Each recommendation is limited by active exposure caps, so an incorrect forecast affects the allocation within the accepted risk limits, not the entire portfolio. The results are recorded and used in the next recalibration.
The initial profile is defined by a set of parameters regarding the maximum accepted exposure and the time horizon. The risk mapping model then adjusts it based on the actual behavior of the account.
Not. The technical parameters are exposed in the control panel for transparency, but the default values are sufficient for automatic operation. Manual adjustments are optional, not mandatory.
Create an account to define your risk profile and see the first allocation recommendations generated by the model, along with the logic behind them.
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