Nexiva Lomu analyzes your positions in real time and recalculates your exit thresholds according to market volatility. You keep control of the strategy, AI manages the execution of risk.
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Most stop losses remain frozen at the moment you place them. The Nexiva Lomu model recalculates this threshold at each significant market variation, to protect capital without exiting a still valid position too early.
Each bar represents a recalculation of the stop-loss triggered by a variation in volatility detected by the model.
Integration does not require changing infrastructure. Nexiva Lomu connects to your existing feeds and works in the background.
Your market feeds, orders and positions are linked via API in minutes.
The model evaluates the volatility and recent behavior of each tracked asset.
You choose automatic execution or manual validation of alerts.
No promise of guaranteed profit: these results relate to risk management, not raw performance.
The exit threshold follows volatility instead of remaining fixed, which limits the size of unclosed losing positions.
Stop-loss recalculation and execution follows detection of a change in volatility, without manual intervention latency.
The model ingests high-frequency quote feeds from multiple markets in parallel.
You are only notified when a critical threshold or a change in market regime is detected.
Nexiva Lomu's machine learning system identifies recurring patterns of volatility from the history of the markets it tracks. It does not predict the future with certainty: it adjusts a probability of unfavorable movement and adapts the stop-loss accordingly.
Each version of the model goes through rigorous backtesting over varied market periods, including phases of high volatility. Market sentiment analysis complements technical signals to refine threshold sensitivity.
Model parameters and threshold adjustment history remain viewable from your dashboard. No decision is made without an explainable trace.
The processing pipeline operates in continuous flow. The time between detecting a change in volatility and recalculating the threshold is measured in seconds, depending on market load and the update frequency of the source feed.
Data in transit is encrypted via TLS and API keys are stored in isolation, with restricted read or execute access rights depending on your configuration. No keys are logged in plain text.
Yes. Each tracked instrument can have its own volatility sensitivity settings, as well as manually set minimum and maximum stop-loss limits to govern the automation.