AI-native execution across equities, options, and futures. Multi-instance architecture with real-time portfolio hedging, designed for hedge funds, family offices, and professional trading desks.
Monitor, execute, and manage from desktop, mobile, or tablet. Consistent experience across macOS, iOS, and Android — all connected to the same real-time engine.
Native Swift app with WKWebView dashboard, auto-update via GitHub Releases, and direct engine connectivity.
macOS 13+ GitHubFace ID/Touch ID auth, push notifications for trade alerts, WKWebView rendering with OTA distribution.
iOS 16+ · App Store ReadyJetpack Compose UI, biometric authentication, Firebase push notifications, and direct APK distribution.
API 31+ · Play Store ReadyPurpose-built for serious capital. Multi-engine architecture, cloud-agnostic deployment, and real-time risk management — all in one integrated system.
Run up to 4 isolated engine instances simultaneously — live trading, paper accounts, and micro strategies — each with independent config and risk parameters.
Atomic state file writes with sub-second dashboard updates. Every position, P&L delta, and market data change is reflected instantly across all connected clients.
Deploy to Azure, AWS, GCP, or on-prem Linux servers with a single YAML spec. Generate Terraform, CloudFormation, or Docker Compose manifests automatically.
SQLite-backed trade ledger, reasoning memory in JSONL, atomic file writes. Engine crash recovery with automatic state restoration on restart.
Engine instances can be assigned to different accounts or team members. Isolated configs, token files, and P&L tracking per instance — no cross-contamination.
OAuth 2.0 broker authentication, biometric app locks, encrypted credential storage, Cloudflare DDoS protection, and TLS everywhere — defense in depth.
From market signal to trade execution — a look at the real-time pipeline powering every decision.
C++ engine ingests real-time quotes via Schwab API, runs HMM regime detection and volatility analysis continuously.
Multi-factor decision matrix evaluates signal strength, portfolio delta, and risk constraints before generating an order intent.
Orders are routed through the broker API with position sizing and exit conditions pre-attached. Every fill is logged to the trade ledger.
State is atomically written and pushed to all connected clients — desktop, iOS, Android — in real time via the Nginx reverse proxy.
See how institutional traders interact with AI-QUANT in natural language. Every command triggers real hedging logic, exposure adjustments, and risk analysis — all in real time.
Institutional-grade dashboard with real-time P&L, risk decomposition, and one-click hedging — on desktop or mobile.
Institutional traders, hedge fund managers, family offices, and quantitative portfolio managers who need multi-instance execution with real-time hedging capabilities across equities, options, and futures.
The platform integrates with Schwab's OAuth 2.0 API for order execution and market data. Additional broker integrations are on the roadmap based on institutional demand.
Yes. The full stack — engine, dashboard, and Nginx proxy — can be deployed on any Linux server via Ansible or a single shell script. No cloud dependency required.
AI-QUANT uses a multi-factor decision matrix that continuously evaluates portfolio delta, sector exposure, and volatility regimes. Exit conditions are pre-attached to every order at entry.
Native iOS and Android apps provide real-time dashboard access, push notifications for trade alerts, biometric authentication, and engine instance management — all from your phone.
Request access below. Our team will walk you through deployment options, broker configuration, and an initial strategy calibration. No self-serve signup — every deployment is provisioned with institutional diligence.
AI-QUANT is available to qualified institutions, professional traders, and family offices. Every deployment is provisioned with personal onboarding.