⚠️ Beta / Active Development - Not for Production Use
This product is in Staging and is NOT intended for production deployments.
- Subject to breaking changes without notice
- Not covered by service level agreements
- May contain bugs, errors, or security vulnerabilities
- Features may be modified or removed
- Provided "AS IS" without warranties
For production use, select Generally Available (GA) products only.
SIGQ
StagingQuantum-Enhanced Stock Market Prediction System
SIGQ is a hybrid quantum-classical stock prediction platform combining Variational Quantum Classifiers (VQC) and Quantum Neural Networks (QNN) with classical ML models (LSTM, Transformer, Bayesian Neural Networks) and 97 technical indicators across price, volume, momentum, volatility, pattern, and market microstructure features. Every prediction includes comprehensive explainable AI reasoning — not just a signal, but why. The system validates prediction quality and rejects outputs below 50% confidence threshold. Features PQC-secured authentication using CRYSTALS-Dilithium (ML-DSA, NIST FIPS 204) signed JWT tokens, CRYSTALS-Kyber (ML-KEM) key exchange, and AES-256-GCM symmetric encryption. Real-time WebSocket streaming delivers BUY/SELL/HOLD signals with entry/exit points, stop-loss, take-profit, and risk metrics (VaR, CVaR, Sharpe, Sortino, max drawdown). Supports IBM Quantum, Google Sycamore, Azure Quantum, and local simulator backends. Multi-source market data from Yahoo Finance, Alpha Vantage, Finnhub, Polygon, Twelve Data, EOD Historical, Marketstack, and FMP.
97
Technical Indicators
4
Quantum Backends
Dilithium3
PQC Auth
Real-time
Signal Latency
4
Model Profiles
Staging
Stage
Stack Capabilities
What SIGQ delivers
Variational Quantum Classifiers (VQC) and Quantum Neural Networks (QNN) with 4-7 qubit configurations
97 technical indicators: price, volume, momentum, volatility, pattern, and market microstructure features
Explainable AI: every prediction includes comprehensive reasoning (WHY, not just WHAT)
Quality validation: rejects predictions below 50% confidence — no false confidence
PQC-secured authentication: CRYSTALS-Dilithium (ML-DSA FIPS 204) signed JWT tokens on every API call
Real-time WebSocket streaming with BUY/SELL/HOLD signals, entry/exit points, stop-loss, and take-profit
Enterprise risk metrics: VaR (95%), CVaR, Sharpe ratio, Sortino ratio, max drawdown, rolling volatility
Multi-source market data: Yahoo Finance, Alpha Vantage, Finnhub, Polygon, Twelve Data, EOD, FMP
Quantum backends: IBM Quantum (16 qubits), Google Sycamore (53 qubits), Azure Quantum, local simulator
4 model profiles: Classical (15ms), Quantum-Fast (4q/2L), Quantum-AI (5q/3L), Quantum-Max (7q/4L/97 features)
Market regime detection: Bull/Bear/Sideways/Volatile with adaptive strategy switching
Prediction tracking with accuracy verification, adaptive learning loops, and concept drift detection
Interfaces & Modules
Integration surfaces
Deployment
Where it runs
SaaS, VPC, or on-premises with quantum backend integration (IBM, Google, Azure, simulator)
Total Addressable Market (Yr.2030)
$200B
Third-Party Services & Dependencies
CUI Labs products integrate with and depend on third-party services including blockchain networks, cloud infrastructure providers, cryptographic libraries, identity providers, and certificate authorities.
CUI Labs is not responsible for:
- Availability, performance, or security of third-party services
- Changes to third-party APIs, protocols, or standards
- Third-party service outages, breaches, or failures
- Costs associated with third-party services
- Compliance of third-party services with applicable laws
Performance metrics and capabilities may be affected by third-party service limitations. Customers are responsible for evaluating and accepting risks associated with third-party dependencies.
Interested in SIGQ?
Discuss deployment options, technical evaluations, and structured pilots with the CUI Labs engineering team.