What AIVEX Does
AIVEX is an end-to-end AI research platform that transforms raw market data into governed, auditable signal outputs — without the black box.
How It Works
Ingest
Parallel data pipelines pull news, OHLCV data, and fundamental metrics from verified sources on configurable schedules.
Analyze
Each atomic signal module applies domain-specific models — NLP for news, technical indicators for charts, ratio analysis for metrics.
Compose
The Signal Engine merges outputs with confidence weighting. Conflicting signals are resolved using priority rules and cooldown logic.
Govern & Emit
The Governor applies risk thresholds and kill switches. Approved signals are exposed via the Eye REST API with structured JSON.
Key Differentiators
Sub-second latency
In-process signal composition without message queues for the critical path.
Audit trails
Every signal includes a traceable computation path. Full JSON crash records for every exception.
Confidence scoring
Every output includes a 0–1 confidence value computed from source quality and agreement.
Multi-source consensus
Signals require agreement across independent sources before reaching the composition layer.
24/7 supervision
Watchdog process with exponential-backoff restart, crash-loop detection, and heartbeat monitoring.
Research compliance
Built-in disclaimer enforcement. All outputs are research artifacts, never trading recommendations.
Example Output
Real signal record from the Eye REST API (/eye/signals). Fields map directly to the final_signals database schema.
{
"signal_id": "sig_4a7f2b3c9d1e",
"symbol": "AAPL",
"direction": "BUY",
"confidence": 0.74,
"strength": "moderate",
"sources": ["news", "chart"],
"reasons": [
"Positive sentiment across 3 recent articles (urgency: 0.81)",
"RSI divergence with price above 20-day moving average"
],
"atomic_count": 2,
"has_conflict": false,
"trace_id": "tr_9e1a4b7f2c3d8e0a",
"created_at": "2026-03-30T09:14:22.384Z"
}trace_id links every signal back to its exact pipeline run. sources lists which atomic modules contributed. confidence is always in [0, 1].
Roadmap
| Now | Next | Later |
|---|---|---|
| News, Chart, Metrics modules | Alternative data module (social, satellite) | LLM-based signal narrative generation |
| Signal Engine composition | Vector store memory for signal context | Backtesting harness v2 |
| Governor gating | Real-time WebSocket stream API | Custom signal module SDK |
| Eye REST API | Multi-symbol portfolio views | Institutional data feed connectors |
| Watchdog 24/7 runtime |