Product
The system behind a validated decision.
QEV is organized around the decision lifecycle: research workspace, experiment engine, strategy registry, risk and validation, controlled deployment, and monitoring. Each part is described with its actual development status.
Strategy registry
A strategy is more than code.
Every strategy in QEV carries a complete record — so a decision made six months ago can be audited today.
- name
- purpose
- asset universe
- data requirements
- assumptions
- code version
- test results
- known limitations
- deployment status
- owner
- approval history
- one connected record
Planned
Ask questions. Keep the evidence.
01 · Research workspace
- Ask questions over datasets and documents
- Create explicit hypotheses, not vague theses
- Link every claim to its evidence
- Preserve assumptions and research context
- Collaborate with AI or human researchers
Planned
Experiments you can reproduce.
02 · Experiment engine
- Reusable experiment templates
- Backtests and parameter searches
- Controlled comparisons between models
- Full reproducibility — same inputs, same outputs
- Experiment versioning
Planned
A backtest is the beginning of validation, not the end.
03 · Risk & validation
- Transaction costs and slippage modeling
- Look-ahead and data-leakage checks
- Survivorship-bias and multiple-testing controls
- Drawdown analysis and stress scenarios
- Exposure limits and evidence scoring
In development
Promotion through stages, never jumps.
04 · Deployment
- Research → backtest → paper → live-small → production
- Pause or retire at any stage
- Explicit approval required before live capital
- Every deployment tied to a validated strategy version
In development
Watch behavior, not just P&L.
05 · Monitoring
- P&L, risk, and exposure tracking
- Model drift and degradation signals
- Execution quality and rejected orders
- Data failures and latency
- The evidence behind every decision, one click away