Fexenwick trading analytics terminal displaying real-time market data

Institutional-grade AI for the decisive trader

Fexenwick fuses real-time predictive analytics with military-grade security, giving professional and institutional traders a single system for reading markets and managing risk without exposing sensitive data.

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FCA-aligned framework · AES-256 encryption · UK data residency

Regulatory alignment Operating within an FCA-aligned governance framework for market conduct and client data handling.

AES-256 encryption All data at rest and in transit is encrypted to a recognised institutional standard.

Data sovereignty Client data is processed and stored within UK infrastructure, with no offshore replication by default.

Core Intelligence

An engine built to filter noise into signal

Fexenwick's analytical core ingests multi-source market data and synthesises it into risk-weighted signals. It does not predict certainty; it anticipates probability, and presents the output in a form a trader can act on within seconds.

Think of it as a co-pilot rather than an autopilot. Every signal carries its underlying rationale, so decisions remain yours to execute.

Real-time ingestion Multi-asset coverage Risk-weighted output Human-in-the-loop

Fexenwick analyst reviewing predictive market data on screen

Security Architecture

Engineering-first, not marketing-first

Every claim below describes a specific technical control. None of it depends on trust alone; each pillar is verifiable in the platform's architecture documentation.

Encryption

AES-256 at rest and in transit

All stored and transmitted data is encrypted with AES-256. Key management is rotated on a defined schedule and never shared with third-party processors.

Latency

Sub-millisecond signal processing

Core inference runs on co-located compute to minimise the delay between data ingestion and a usable output reaching the terminal.

Privacy

Zero-knowledge architecture

Account-level trading data is segmented such that platform operators cannot reconstruct a client's full position history from stored records.

Audit

Immutable audit trail

Every model output and user action is logged to an append-only ledger, supporting internal review and regulatory reporting on request.

Methodology

A transparent, three-stage process

The logic behind every output is traceable. There is no black box between the data you provide and the recommendation you receive.

Multi-source ingestion

Market, order-book, and macroeconomic data streams are consolidated and normalised in real time.

Neural pattern recognition

Pattern-recognition models identify structural shifts and volatility clusters across correlated instruments.

Risk-adjusted output

Signals are weighted against exposure limits before being surfaced, so every output already reflects risk tolerance.

Use Cases

Applied across trading mandates

Fexenwick is used by desks and individual traders operating across UK and global markets, where drawdown control matters as much as upside capture.

Institutional Rebalancing

Portfolio weight adjustments with defined risk bands

Rebalancing decisions are modelled against pre-set drawdown thresholds, so allocation shifts are proposed within limits the desk has already approved, not after the fact.

Algorithmic Hedging

Correlated exposure identified before it compounds

The engine flags correlated positions across instruments that may not appear linked on a single desk's dashboard, supporting hedge construction before volatility widens the gap.

Volatility Arbitrage

Dislocations surfaced for manual verification

Pricing dislocations between related instruments are surfaced with supporting data, allowing a trader to verify the opportunity rather than act on a signal alone.

Optimise your capital deployment

Request access to review the platform under your own risk parameters, with full visibility into how each recommendation is generated.

Get Started View Security Whitepaper