Predictive analytics platform for digital assets
Nexory analyzes market volatility in real time and applies dynamically calculated capital protection thresholds, reducing the emotional impact of decisions made under pressure.
The context
Those who invest in digital assets must react to price movements that can occur in a few minutes, often outside business hours. This generates impulsive decisions or, conversely, delays that aggravate losses.
The system continuously recalculates the protection thresholds based on historical volatility and current market conditions, applying automatic closure of positions when the set risk parameters are exceeded. The objective is not to maximize every single movement, but to contain the reduction of capital in the most unstable phases.
Values referring to internal simulations on historical market data; future results are not guaranteed and depend on the risk profile selected.
How it works
The system combines time series statistical analysis, machine learning models trained on market data, and user-configurable risk management rules.
Predictive analytics. The model observes volatility patterns, trading volumes and correlations between assets to estimate the probability of sharp movements in the short term.
Smart stop-loss. Unlike a fixed threshold, the level of protection widens or narrows based on current volatility, avoiding premature closures during normal fluctuations.
Automated execution. When risk parameters are exceeded, the exit order is executed without waiting for manual confirmation, reducing the reaction time to a few seconds.
Consult the complete methodology →
The algorithms are periodically recalibrated on price, volume and volatility data from multiple exchanges, to keep estimates aligned with real market conditions.
Each portfolio can be associated with a risk profile — prudent, balanced or dynamic — which determines the breadth of the protection thresholds applied by the system.
The system remains active 24 hours a day, including the most volatile market phases, reducing the dependence on constant manual control by the investor.
How the service is structured
The process is designed to be understandable even to those without technical skills in quantitative finance.
The linked portfolio is analyzed to identify exposure, correlations between assets and level of historical volatility.
Based on the chosen risk profile, the system defines stop-loss thresholds and exposure limits for each position.
The configured rules are applied autonomously, without requiring manual supervision at each price change.
The system's activity is recorded and made available in periodic reports, indicating the activated thresholds and the reasons.
Operational examples
The following examples describe the general operating logic and do not constitute a performance forecast.
When volatility increases sharply, the system tightens the protection thresholds and can close exposed positions before the loss extends, reducing the reaction time compared to manual intervention.
Recalculated based on the volatility observed in the previous hours, not on a predefined fixed value.
In phases of more stable growth, the stop-loss thresholds gradually widen to accompany the price movement, avoiding early exits caused by normal short-term fluctuations.
The thresholds follow the price trend while maintaining a safety margin defined by the risk profile.
The overall risk level—conservative, balanced, or dynamic—remains your choice. The AI applies that choice consistently, without changing it autonomously based on the market mood.
Prudent, balanced, dynamic: each with different thresholds and exposure limits.
Frequently asked questions
The following answers concern the aspects most requested by those evaluating the adoption of the platform.
Communications between Nexory and the connected exchanges take place via API keys with permissions limited to order management only, without the possibility of withdrawal. The data is transmitted in encrypted form and stored on a cloud infrastructure based in the European Union.
No. The API keys requested during connection are configured for trading and monitoring operations, excluding the withdrawal function. This setting can be checked directly in the panel of the exchange used.
The models use time series of price, volume and volatility from multiple exchanges, updated on a regular basis. The data is processed in aggregate form and does not include users' personal information.
The connection occurs by entering the API keys provided by the supported exchange. Once verified, the system can start analyzing the portfolio; the actual times depend on the platform used and the related verification procedures.
The risk profile and applied thresholds can be changed at any time from the control panel. Revoking API access immediately stops system operation on the linked wallet.
An introductory meeting allows you to see how the stop-loss thresholds adapt to a real portfolio, without commitment to continue.