How the AI trading technology works
A transparent, step-by-step view of the engine - from incoming market data through analysis, risk management, execution, monitoring and reporting.
AI Engine Status
Demo DataOperational
24
12
Active
From market data to reported results
A transparent look at how the AI engine processes information, manages risk, and reports performance - end to end.
Market Data
Live feeds, price action & indicators
AI Analysis
Trends, volatility, momentum, liquidity
Signal
Opportunity scored by confidence
Risk Check
Sizing, stop-loss, exposure, drawdown
Execution
Routed to broker / exchange
Monitoring
Entry, exit, P/L tracked live
Reporting
Reflected in portfolio analytics
Each stage, explained
No black box. Every step has a defined purpose and defined inputs.
Market Data
The system receives market data and relevant indicators in real time.
- Price feeds & order-book depth
- Technical & volatility indicators
- Macro and event context
AI Analysis
The engine analyses multiple market dimensions before considering any trade.
- Market trends
- Volatility
- Momentum
- Price action
- Liquidity
- Risk conditions
Strategy Selection
Predefined trading strategies are evaluated and potential opportunities identified.
- Strategy scoring against conditions
- Opportunity ranking by edge
- Pre-trade confidence estimate
Risk Management
Before a position is considered, risk parameters are evaluated.
- Position sizing
- Stop-loss parameters
- Maximum exposure
- Drawdown monitoring
- Portfolio concentration
- Risk limits
Trade Execution
Where legally and technically supported, approved strategies can send trades through the connected broker / exchange infrastructure.
- Order routing to venues
- Best-execution checks
- Execution acknowledgement
Monitoring
Positions are continuously monitored and the system records key data.
- Entry
- Exit
- P/L
- Duration
- Strategy
- Risk metrics
Reporting
Actual results are reflected in the user portfolio analytics.
- Realised P/L booking
- Performance attribution
- Investor-facing analytics
Risk is checked before a position is taken
Every candidate trade passes through the risk layer. If limits are breached, the opportunity is not pursued.
Where legally and technically supported, only approved strategies can route trades through the connected broker / exchange infrastructure.
Actual results, reported transparently
Realised performance is reflected in your portfolio analytics - not manufactured numbers. Historical data is shown separately from any projected figures.
Not every trade is profitable. The engine evaluates opportunities, but markets carry risk and losses occur. Past performance does not guarantee future results.
Two clear data states. Live Mode shows only actual connected data. Simulation Mode shows clearly labelled demo data - never presented as real activity.