HedgeVision is a public teaser of SuperIntel — not a standalone product. Learn about SuperIntel →
Educational purposes only. Not financial advice. Data may be outdated — no freshness guarantee. Logic & metrics are verified accurate.
Technology stack
The technical components of HedgeVision — the public fragment. Each category maps to a distinct layer in the five-stage signal pipeline.
Core models
Statistical models
Z-score, Ornstein–Uhlenbeck, cointegration methods for mean-reversion signals.
ML ensemble
Gradient boosting and regression models for signal quality filtering and false-positive reduction.
Sentiment layer
LLM-powered news and macro sentiment scoring fed as confidence modifiers into the signal ensemble.
Risk infrastructure
Exposure veto
Hard caps on gross exposure per pair, sector, and total portfolio. Veto triggers halt the pipeline.
Drawdown guard
Rolling drawdown monitoring with configurable soft-warning and hard-stop thresholds.
Position sizing
Volatility-adjusted Kelly-fraction sizing with operator-configurable multipliers.
Data infrastructure
Market data layer
Normalized OHLCV ingestion from multiple providers via pluggable adapters.
News and macro feeds
Real-time and historical news feeds, economic calendar, and macro indicator streams.
Time series store
Optimized time series storage for backtesting and live signal validation.
Execution layer
Broker adapters
Modular adapters for broker and exchange connectivity — pluggable by environment.
Pre-trade compliance
Symbol, account, and margin checks before order submission.
Audit log
Immutable per-order audit trail for review, debugging, and regulatory compliance.
Observability
Signal dashboard
Real-time view of active signals, ensemble scores, and risk chain status.
Backtest reporting
Walk-forward performance metrics, Sharpe, Calmar, and drawdown reports.
Operator controls
Live override switches for signal gates, risk parameters, and execution toggles.
scope
HedgeVision vs SuperIntel
HedgeVision is the observable layer. SuperIntel is the full intelligence system.
| Feature | HedgeVision | SuperIntel |
|---|---|---|
| Signal generation | Statistical + ML | Multi-model orchestration |
| Risk system | Exposure + drawdown veto | Multi-layer autonomous risk engine |
| Memory | None (stateless) | Persistent research memory |
| Intelligence domains | Quantitative trading | Cross-domain autonomous reasoning |
| Model routing | Fixed ensemble | Dynamic multi-model routing |
| Access | Internal Beta (teaser) | Internal Beta (private) |
