Prexido data visualization showing backtested trading signal performance
Signal Intelligence for Active Traders

Trading signals validated against a decade of historical market data

Prexido ingests order-book and macro data, runs it through predictive models, and reports risk-adjusted entry and exit signals with a disclosed backtested accuracy range, not a vague promise.

Access Terminal View Methodology
10 yrs Historical backtest window
<80ms Signal latency, EU infrastructure
24/7 Model monitoring
Analytical Core

How the model reaches a conclusion, not just what it concludes

Every output traces back to a specific combination of volatility, liquidity, and momentum factors. The mechanics are documented, not hidden behind a single opaque score.

Real-time risk assessment

Position sizing recommendations update continuously as volatility shifts intraday. The model recalculates exposure limits each time new tick data arrives, rather than on a fixed schedule.

Refresh interval: sub-second on liquid instruments

Predictive modeling on layered signals

Price action is weighed against order-flow imbalance and cross-asset correlation before a signal is issued. No single indicator is allowed to dominate the output.

Factors tracked: 14 independent variables per instrument

Signal-to-noise filtering

Low-confidence signals are suppressed by default. Traders see fewer alerts, but each one carries a disclosed confidence band drawn from the backtest, so false positives are easier to recognize.

Default confidence threshold: 65% or higher
Methodology

From raw data to a published signal, in three stages

Each stage is logged, which means any signal can be traced back to the exact data and model version that produced it.

01

Data ingestion

Tick-level price data, order-book depth, and macroeconomic releases are normalized into a single time series before any modeling begins.

02

Model refinement

Candidate strategies are run against out-of-sample historical periods. Those that fail to hold up across at least three distinct market regimes are discarded.

03

Signal output

Surviving strategies produce a signal with a stated confidence level and a suggested position size, delivered to the terminal in real time.

Applications

Built for two distinct trading problems

The underlying models are the same; the parameters and risk tolerances are tuned to the scale of the position being managed.

Day Trading

High-Frequency Volatility Scaling

Position size adjusts automatically as intraday volatility rises or falls, so exposure contracts during erratic sessions without requiring manual intervention at every tick.

  • Reduces average drawdown during high-volatility windows
  • Signal refresh aligned to sub-second tick intervals
  • Configurable volatility bands per instrument
Portfolio Management

Portfolio Risk Hedging

Cross-asset correlation data is used to flag concentration risk before it compounds, with suggested hedge ratios based on historical regime analysis rather than static rules.

  • Correlation checks across equities, FX, and commodities
  • Hedge ratio suggestions updated daily
  • Backtested against three prior market cycles
About the Platform

Built in the Baltic region, held to EU infrastructure standards

Prexido was designed around the constraints that matter to a trader operating from Vilnius or any other EU financial center: low-latency execution paths, data residency within the region, and a model that discloses its assumptions rather than obscuring them.

The platform is positioned as a decision-support tool. It surfaces what the data indicates; the trader retains control over every position taken.

Prexido analytics workspace used for reviewing backtested trading signals

Infrastructure built for latency-sensitive decisions

For traders operating in the Baltic and wider EU market, execution speed and data residency are not abstract concerns.

<80ms Average signal latency
99.9% Platform uptime, trailing 12 months
EU Data hosted within the region
10 yrs Depth of historical backtest data

Infrastructure and data-handling practices are structured with EU data protection requirements in mind. Specific regulatory status and licensing details are available on request through the contact page.

Review the signal history before committing capital

Access the terminal to see live signal output, or review the methodology documentation first if you prefer to understand the model before relying on it.

Access Terminal View Methodology