Uranium data analysis dashboard showing market signals and risk indicators
AI-driven decision support

Strategies tested on decades of market data, not on hope.

Uranium ingests market data continuously, runs it through models validated against historical cycles, and executes pre-approved strategies without requiring your daily attention.

Start Analysis View Historical Data
Model output, live session
Signal confidence Calculated per instrument
Risk score Updated each cycle
Position sizing Set by risk tolerance
Platform

Three functions working together, not three separate tools.

Speed, accuracy and risk control are treated as one connected process inside Uranium, rather than bolted-on features.

01

Real-time market analysis

Price, volume and volatility data are processed continuously throughout the trading session, so positioning reflects current conditions rather than yesterday's close.

02

Predictive modelling

Forecasts are built from models trained on historical price behaviour across multiple market regimes, and re-validated as new data arrives.

03

Risk assessment

Every recommended position carries a calculated exposure limit, reviewed against volatility and drawdown history before execution is permitted.

Methodology

A strategy earns deployment only after it survives testing.

Uranium does not publish a strategy until it has been run against historical conditions it was not designed around.

Data ingestion

Market feeds, corporate filings and macroeconomic indicators are collected and normalised into a single structured dataset, refreshed throughout the day.

Backtesting simulation

Each candidate strategy is run against multiple historical periods, including periods of stress, before it is considered for live use.

Automated execution

Approved strategies execute according to fixed rules and position limits, removing manual decision-making from day-to-day operation.

System capabilities

What the engine does, described plainly.

Processing speed

Market data is ingested and re-analysed on a rolling basis throughout each trading session, rather than at fixed daily intervals.

Historical testing

Strategies are backtested across multiple market cycles, including downturns, before being made available for live deployment.

User base

Used by UK-based professionals running the platform alongside full-time employment, as a secondary, rules-based income stream.

Use cases

Two ways professionals apply the platform.

Most users fall into one of two patterns, shaped by how much capital they allocate and how they want exposure structured.

Uranium team reviewing model performance and risk reports

Institutional-grade analysis for individual accounts

Uranium applies the same backtesting discipline used by larger trading operations, scaled down to individual account sizes. Strategies are not adjusted informally between the backtest and live execution.

Allocation is split across uncorrelated strategies and instruments, structured to reduce the impact of any single position underperforming.

Portfolio diversification without active trading

Rather than concentrating capital in one approach, the platform distributes exposure across multiple backtested strategies. Rebalancing follows fixed rules set when each strategy was approved for deployment.

Questions

Before you deploy capital.

Answers to the questions raised most often by prospective users assessing security and fit.

How is account security handled?

Account credentials and trading permissions are encrypted in transit and at rest. Uranium connects to brokerage accounts through permissioned, read-and-execute API access rather than holding client funds directly.

Which brokers and accounts can connect?

Uranium integrates with brokerage platforms that support third-party API trading access. Integration is configured once during setup and does not require manual reconnection for routine use.

How passive is this once it's running?

Execution follows the fixed rules set during backtesting, so day-to-day positions do not require manual input. Periodic review of performance and risk settings is still recommended, particularly after major market events.

Review the historical data before committing capital.

Examine how current strategies have performed across past market conditions, then decide whether to proceed.