Warrenpoint data terminal displaying unified multi-exchange market feeds

Data Intelligence Platform

Unified Visibility Across Every Exchange

Warrenpoint consolidates fragmented market feeds into one dashboard, applies predictive models to incoming data, and flags risk before it affects a position. Built for professionals managing more than one income stream.

Request Access View Methodology

<250ms

Target Latency

Asset Classes

24/7

Feed Monitoring

Risk Tiers

Integration Layer

One Dashboard, Every Market Feed

Most professionals holding multiple income streams track them across separate apps, broker portals and spreadsheets. Warrenpoint ingests data from each connected source, normalises the format, and writes it into a single consistent record. Analysis then runs once, against one dataset, rather than being repeated manually across each platform.

Connections are read-based where possible, reducing the permissions required to bring a feed online. New sources are added without disrupting dashboards or saved views already in use.

Supported Market Categories

UK Equities

US Equities

FX Majors

Crypto Spot

Fixed Income

Derivatives

Category coverage depends on the data sources a user connects. Availability varies by asset type and provider.

Core Engine

Predictive Models, Configurable Risk Controls

The underlying model is trained on historical and live market data to identify recurring patterns in price, volume and volatility. Output is presented as a ranked signal, not an instruction, and every signal carries a confidence indicator so the relative weight of each recommendation stays visible.

Specification	Value
Data refresh interval	60 seconds
Model retraining cycle	Daily
Configurable risk tiers	5
Historical lookback window	Up to 5 years
Alert delivery	In-app, email

Specifications describe current platform configuration and may be adjusted as infrastructure scales.

Risk Threshold Interface

Conservative

Capital preservation priority

Balanced

Exposure matched to volatility

Aggressive

Higher tolerance for drawdown

Thresholds govern alert sensitivity and signal filtering. They do not place or cancel orders automatically.

Strategic Outcomes

From Raw Data To Decisions

Four steps connect a live data feed to a usable decision, each one logged so the reasoning behind an alert can be reviewed afterward.

Connect sources

Link exchange accounts, brokers or market feeds relevant to each income stream.

Normalise data

Feeds are standardised into one schema regardless of origin or format.

Apply models

Predictive and risk models run against the combined dataset on a set cycle.

Review signal

Receive a ranked alert with supporting data, then decide and act manually.

Signal Type	Trigger Condition	Suggested Action
Volatility spike	Price range exceeds configured band	Review exposure, consider reducing position size
Correlation shift	Linked assets diverge from historical pattern	Reassess diversification across streams
Liquidity drop	Order book depth falls below threshold	Delay execution until depth recovers
Drawdown approach	Position nears configured risk limit	Evaluate exit or hedge before limit is reached

Real-Time Alert Preview

09:41:02RISKFX Majors exposure approaching Balanced threshold

09:38:47DATANew correlation pattern detected across two linked positions

09:22:15LIQOrder book depth reduced on monitored crypto pair

08:59:03MODELDaily retraining cycle completed, signals refreshed

About Warrenpoint

Built For Analysts, Not Spectators

Warrenpoint was built around a single constraint: professionals managing several income streams need one place to see what is happening across all of them, without switching between tools. The platform focuses on reducing the time between a data change and a decision, while keeping the person in control of what happens next.

No signal is executed automatically. Every recommendation is logged with the data that produced it, so decisions can be reviewed and refined over time.

Warrenpoint analyst reviewing consolidated market data dashboard

Methodology & Security

Transparency In How Signals Form

Models are tested against historical data before deployment and re-evaluated on a fixed schedule. Past performance in back-testing does not guarantee future results, and every signal is presented with the data window it was derived from so its context is never hidden.

Contractor income

Tracking day-rate earnings alongside a separate investment portfolio, with one view of combined exposure.

Multi-platform trading

Consolidating positions held across several exchanges to avoid duplicated or conflicting exposure.

Side-income diversification

Monitoring smaller, varied income streams against a shared risk threshold rather than individually.

AES-256 encryption at rest UK data residency Role-based access control Read-only source connections where supported

Warrenpoint provides data analysis and decision-support tooling. It does not provide regulated financial advice, and signals should be treated as one input among several when making investment decisions.

Get Started

Consolidate Your Income Streams Today

Access scales with the number of connected sources and the depth of modelling required. Each tier below covers a different stage of managing multiple income streams.

Tier	Suited to
Starter	A single income stream with basic alerting and one connected data source.
Professional	Multiple streams, full predictive modelling and configurable risk tiers.
Enterprise	Teams requiring shared dashboards, audit logs and dedicated onboarding.

Create your account

Set up access, connect your first data source, and configure a risk tier before your first session ends.

Create Account

No payment details required to begin setup.