From rebalancing to risk modeling, DSC-3 solves financial optimization problems 1,000x faster than traditional solvers on commodity NVIDIA GPUs.
Portfolio optimization with thousands of assets and constraints creates combinatorial explosions that classical solvers can't handle in real time.
Trading strategies require sub-second optimization. Every millisecond of delay costs money in high-frequency environments.
Balancing risk, return, liquidity, and regulatory constraints simultaneously requires solving across multiple competing objectives.
Solve Markowitz mean-variance and beyond with thousands of assets. QUBO formulation handles cardinality, sector, and turnover constraints natively.
Monte Carlo VaR, stress testing, and regime detection. Topological persistence identifies market structure changes before they impact portfolios.
Multi-venue order routing, timing, and slippage minimization. Multiple solvers explore execution strategy spaces in milliseconds.
Counterparty exposure optimization and collateral allocation. Map credit networks to graph partitioning problems for systemic risk analysis.
Options portfolio hedging and Greeks optimization. Solve multi-leg strategies with complex constraint satisfaction at institutional speed.
Transaction pattern optimization and anomaly graph partitioning. Identify suspicious clusters across billions of transactions in real time.
| Problem | DSC-3 (RTX 5070 Ti) | CPLEX | Gurobi |
|---|---|---|---|
| 1,000-asset portfolio | 12ms | 4.2s | 3.8s |
| 5,000-asset portfolio | 47ms | timeout | 42s |
| 10,000-asset portfolio | 210ms | timeout | timeout |
Send your optimization problem via REST API or Python SDK. Define assets, constraints, and objectives in standard financial formats.
DSC-3 automatically maps your problem to a QUBO matrix. The 7-solver ensemble explores the solution space on GPU hardware.
Receive optimized allocations with constraint satisfaction scores, convergence metrics, and cryptographic verification proofs.