About Tyvixom
Founded 2022 | Adaptive AI Trading
Why Tyvixom Exists
The financial markets have always favoured those with superior technology. Hedge funds spend billions on infrastructure that processes data microseconds faster than everyone else. Retail traders, meanwhile, are left with charting software from the 2000s and delayed data feeds.
Tyvixom was created to close that gap. We took the same principles that power institutional trading desks — parallel computation, machine learning, and quantitative modelling — and packaged them into a platform that anyone can use, regardless of background or account size.
Our Approach
Most trading platforms give you tools and leave you to figure things out. Tyvixom takes a fundamentally different approach: our AI does the analysis, identifies the setups, and — if you choose — executes the trades autonomously. You stay in control of strategy and risk parameters while the system handles the speed-critical work.
The Technology Stack
- Quantum-Inspired Optimisation: Computation methods derived from quantum mechanics — amplitude-based probability models, optimisation landscapes, and high-dimensional pattern matching — enable Tyvixom to evaluate market scenarios that linear systems cannot
- Deep Neural Networks: Self-evolving models trained on billions of historical ticks and real-time order flow data, capable of detecting regime changes, anomalies, and emerging trends before they surface on conventional charts
- Parallel Processing Architecture: A distributed pipeline that simultaneously analyses crypto, forex, and equity markets — so you never miss a cross-asset opportunity
Benchmark: QV 14,802 — Tyvixom's computation engine achieves a quantum volume of 14,802, enabling multi-dimensional analysis at speeds that redefine what retail traders can access.
The Team
- Dr. Alexander Mitchell — Co-Founder & CEO: Computational physicist with a decade of experience applying quantum-inspired methods to financial modelling. Drives Tyvixom's strategic vision
- Finlay Chen — Co-Founder & CTO: Built trading infrastructure at a leading quantitative fund. Architects the execution engine, data pipelines, and real-time systems powering Tyvixom
- Dr. Elena Petrova — Head of Research: Connects fundamental physics with applied machine learning to develop the predictive models that form Tyvixom's analytical backbone
- James Whitfield — Chief Security Officer: 15+ years defending critical financial infrastructure. Oversees encryption standards, broker verification, and regulatory compliance at Tyvixom
Security & Compliance
Tyvixom operates with AES-256 encryption, multi-factor authentication, rigorous broker vetting, and continuous infrastructure monitoring. We comply with applicable data protection frameworks and maintain transparent policies. See our Privacy Policy, Terms of Service, and AML/KYC Policy for details.
Get Started
Ready to experience what adaptive AI trading feels like? Create your Tyvixom account.
General inquiries: [email protected]