Methodology
A transparent pipeline
Every alert is backed by auditable steps from ingestion to delivery.
01
Data ingestion
Live market data, historical archives and football stats enter secured pipelines.
- —Stocks, crypto venues and leagues updated minute-by-minute
- —Cleansing removes anomalies and aligns units
- —Manual notes can enrich scenarios
02
Modeling & analysis
Hybrid AI + statistical stacks search for repeatable patterns.
- —Context-specific ensembles per asset class
- —Explainability layer traces the main drivers
- —Stress tests run optimistic, base and adverse cases
03
Scoring & insights
Signals gain conviction, risk limits and scenario notes.
- —Confidence percentages with volatility corridors
- —Auto-generated talking points
- —Alerts sync to desktop and mobile
04
User workflow
Discipline is reinforced with review-friendly views.
- —Dashboard with prioritized queue
- —Review + annotate before taking positions
- —Log and monitor execution discipline
User workflow
A
Check dashboard
Start with domain highlights and anomalies.
B
Review signals
Open cards with evidence, context and ranges.
C
Decide & note
Choose your action, add reasoning, size risk.
D
Track
Follow outcomes versus plan for continuous learning.