Educational purposes only. Not financial advice. Data may be outdated — no freshness guarantee. Logic & metrics are verified accurate.

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Internal BetaA fragment of SuperIntel by CorrelateX

Statistical arbitrage intelligence. Public teaser only.

HedgeVision is the open statistical-arbitrage surface of SuperIntel — the practical OSS-visible layer for quant research, pairs discovery, backtesting, and LLM-assisted market intelligence. The full system lives inside SuperIntel.

⚠ Educational purposes only. Not financial advice. Data freshness not guaranteed.

architecture

The stack behind the alpha.

HedgeVision keeps the public trading-intelligence surface legible while the larger SuperIntel system handles the private, higher-ambition orchestration.

ML Ensemble

Statistical, ML, and sentiment models coordinated for signal quality and trade review. The surface layer of SuperIntel's deeper model stack.

Risk Chain

Multi-stage veto and exposure review before a signal becomes an actionable order. Designed to be auditable and operator-controllable.

Execution Path

Broker and exchange connectivity built as a modular execution layer — pluggable, testable, and observable.

components

What HedgeVision exposes.

These are the visible modules in the public fragment. SuperIntel adds orchestration, memory, multi-model routing, and private risk infrastructure on top.

Pairs discovery

Cointegration and correlation scanning across instruments.

Backtesting engine

Walk-forward validation with realistic slippage and cost modeling.

Signal router

Multi-signal scoring and ensemble weighting before risk review.

LLM intelligence layer

News and macro sentiment fed into signal confidence scoring.

Risk veto chain

Exposure checks, drawdown guards, and position sizing constraints.

Execution interface

Modular broker/exchange adapter with pre-trade compliance checks.

access

Invite-only access.

HedgeVision is currently in internal beta. Access is by invite for contributors, researchers, and teams aligned with the SuperIntel buildout.

⚠ For educational and research purposes only. Not financial advice. No guarantee of data freshness. Logic and metrics are verified accurate.

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