Zantarix applies latent variable analysis to high-volume market data, surfacing risk-adjusted signals that are validated against historical performance before they reach your workflow.
Zantarix ingests tick-level and derived market data in parallel streams, applying algorithmic optimisation to reduce dimensionality before any signal is scored. The result is a model that updates continuously rather than on fixed intervals, so exposure assessments reflect current conditions rather than stale snapshots.
Market feeds are normalised and queued in sub-second batches, allowing the engine to react to structural shifts without waiting for end-of-day consolidation.
Underlying factors that are not directly observable, such as liquidity stress or correlated volatility, are estimated and tracked across instruments.
Weights are reviewed against realised outcomes on a rolling basis, with recalibration logged and timestamped for audit purposes.
Every signal issued by Zantarix is attached to a reference record. The platform publishes a daily report summarising model outputs against realised market movement, so performance claims can be reviewed rather than taken on faith.
Each prediction is timestamped and stored with the input conditions that produced it, before any outcome is known.
Once the relevant time window closes, the realised market outcome is attached to the original record without amendment.
A daily summary is generated from the full set of logged signals, available to review within your account dashboard.
Historical accuracy does not guarantee future results. All figures are drawn from historical data analysis and should be read alongside your own risk mitigation framework before any trading decision is made.
Zantarix's risk layer is built to flag deteriorating conditions before they fully materialise in price. Rather than relying solely on fixed thresholds, the model weighs correlated risk across positions and adjusts confidence scores accordingly, giving a more complete picture of exposure.
The underlying model does not change between strategies; only the parameters consulted and the reporting cadence differ. This keeps signal logic consistent whether the holding period is minutes or months.
Signals are refreshed at sub-second intervals, with emphasis on liquidity and short-term volatility estimates suited to rapid position turnover.
Model weighting shifts toward multi-day momentum and mean-reversion factors, with daily reporting aligned to typical holding periods.
Cross-asset correlation data is used to support portfolio-level hedging decisions, with less emphasis placed on intraday noise.
Zantarix consumes market data from licensed exchange and liquidity provider feeds, covering FX, equity index, and major derivative instruments. Data is normalised before ingestion to reduce feed-specific artefacts.
Signals are typically delivered in under one second from the point of ingestion. Latency can vary slightly depending on instrument liquidity and network conditions outside the platform's control.
The model undergoes a rolling 24-hour recalibration cycle, with weights adjusted against the most recent realised outcomes. Material changes to model architecture are versioned and disclosed in the methodology log.
Signal records are written before outcomes are known and are not amended retroactively. Daily reports are generated directly from this unamended log, which is available for review within your account.
No. The platform provides signals and risk assessments; execution decisions remain with the account holder or their connected execution system.
Access is reviewed on a per-application basis to maintain data integrity across the user base. Submit a request and a member of the team will follow up with onboarding details.
Signal delivery, daily reporting, and risk scoring for a single trading account. Suited to independent day traders.
Multi-account reporting, extended historical data sets, and dedicated onboarding. Pricing available on request.
Account data and signal logs are encrypted in transit and at rest. Zantarix does not provide financial advice; all outputs are informational and should be assessed within your own risk mitigation framework.