Technology · research to execution
From market intelligence to deterministic execution.
AI accelerates analysis and challenges assumptions. Only reviewed, validated, compiled releases go live.
- 01MarketNormalized inputs
- 02FrameRegime context
- 03ValidateRobustness gates
Iterative research · no direct live path
Controlled handoff
- Unique ID
- Risk envelope
- 24/5
Market intelligence array
Multiple data layers. One normalized research frame.
Scale never distorts importance; no single source dictates the outcome.
Price + ticks
Tick-level and historical price: the empirical base.
Liquidity + spreads
Execution conditions weighed alongside directional behavior.
Volatility
Realized volatility frames each bot's operating conditions.
Macro context
Selected economic context informs research. It never dictates a trade.
Regime framing
Context before behavior.
Current conditions match against historical archetypes: trend, range, volatility, liquidity, transition. Classification informs research and portfolio decisions; never a forecast.
AI-assisted research
Models challenge assumptions. They never control production.
Parallel models drive research and engineering; live execution stays deterministic and governed.
AI assists
Analyze, compare, challenge, support engineering.
- Explore market and regime context
- Challenge strategy hypotheses
- Support code review and iteration
- Surface assumptions for deterministic testing
AI does not
Control live changes, approve releases, or place trades.
- No unconstrained live self-modification
- No direct model-to-order path
- No bypassing validation
- No disclosure of proprietary strategy logic
Operational separation
Research is a laboratory. Live execution is controlled.
A compilation-and-release boundary, a physical and digital air-gap, separates research from the dedicated Amsterdam MetaTrader VPS.
Research environment
Explore + validate
Live execution environment
Execute + supervise
Continue to validation
