Adaptive Trade Engine
A layered decision engine that evaluates market evidence, portfolio rules, and execution quality before acting.
View feature
Platform features
Explore the systems that connect market evidence, customer-controlled security, exchange execution, portfolio context, and mobile visibility.
Platform library
Each capability has a focused job. Together they give the customer-owned Box a consistent path from observation to controlled action and clear review.
A layered decision engine that evaluates market evidence, portfolio rules, and execution quality before acting.
View feature
Trading access stays with the customer: encrypted exchange credentials live on the Box and assets remain in customer-owned accounts.
View feature
Portfolio analytics connect holdings, orders, market conditions, capital pressure, and strategy outcomes in one decision context.
View feature
AI reads current market coverage, identifies currency-specific implications, and turns broad news into structured signals for review.
View feature
A visual strategy framework for arranging conditions, actions, and portfolio logic into inspectable decision trees.
View feature
A deliberate workflow for configuring and observing a narrowly defined trading opportunity without changing a broader portfolio strategy.
View feature
A structured portfolio configuration experience for coordinating allocation, strategy, and market participation across supported exchanges.
View feature
Execution logic that considers target price, available market depth, exchange rules, and measured friction before placing an order.
View feature
A controlled way to route eligible realized value toward a customer-chosen destination without exposing a withdrawal credential to the cloud.
View feature
MetaMask-controlled vault trading through verified smart-contract permissions and official Uniswap routing, without handing the wallet to the Box.
View feature
The Black Box mobile app brings portfolio status, device health, account access, alerts, and support into a focused customer experience.
View featureAI model library
Statistical, transformer, and proprietary intelligence layers contribute different perspectives. Explore how each model fits into the wider decision architecture.
The ensemble decision layer that blends model evidence, risk context, and execution feedback.
A temporal fusion transformer for mixed signals, changing regimes, and multi-horizon structure.
A foundation-model perspective for time-series structure across multiple forecast horizons.
An interpretable statistical baseline for trend, differencing, and autocorrelated market behavior.
Under the surface
The technical overview follows the complete path from edge hardware and AI acceleration through model scoring, exchange connectivity, and customer custody.