Quantum Trading Platform
Quantum-optimized, AI-powered algorithmic trading — not quantum computing. A Python-native quant platform with custom ML models, RAG over live market data, a quantum-optimized portfolio allocator, and direct broker execution, all on one stack.
The Quant Stack
Six modules designed to replace a notebook, a feed, an optimizer, and a broker API with something production-grade.
Inference Module
Model Runtime
Deploy any PyTorch, TensorFlow, XGBoost, or scikit-learn model with zero glue code. Hot-swap versions, A/B test strategies, rollback in one click.
Data Module
Live RAG Pipeline
Retrieval over live quotes, filings, earnings transcripts, and news wires — vector-indexed and queryable in milliseconds.
Allocation Module
Quantum-Optimized Allocator
A quantum-optimized portfolio solver for allocation — handles large asset counts, long/short constraints, and factor neutrality in under a second, running on classical hardware today.
Validation Module
Tick Backtester
Tick-level replay with realistic slippage, queue-position modeling, and stress tests across historical regimes.
Broker Module
Execution Router
One API across major brokers. Smart routing, TWAP/VWAP, low-latency fill confirmation.
Guardrail Module
Risk Sentry
Real-time VaR, factor exposure, and drawdown alerts, with hard circuit breakers that kill strategies on regime shifts.
Built for Serious Capital
Low-Latency Execution
From feed arrival to order-out on colocated hardware, with latency budgets measured and published.
Deterministic Backtests
Same code, same data, same result, every time. No look-ahead bias, no survivorship, no surprises in production.
AI-Powered, Quantum-Optimized
Runs classical AI-powered models today. The allocation module is quantum-optimized and can offload to quantum hardware when the problem fits — this is algorithmic trading, not a quantum-computing product.
Institutional Controls
Pre-trade risk, kill switches, audit logs, and segregated strategy sandboxes.
Note
The Quantum Trading Platform needs a domain expert's review before any go-to-market push. Quantum computing itself is a separate, long-term line of work and is not part of this product's current scope.