QTX.AI Launches AI-Powered Quantitative Trading Platform Backed by Luminga Capital, Redefining Real World Asset Integration in Digital Finance

QTX.AI, a next-generation AI-native quantitative trading platform, today officially announced its global launch and strategic financing round led by Luminga Capital, a fintech investment firm co-founded by Cheng Xu, who also serves as QTX.AI’s Co-Founder. With a mission to build the future of programmable finance, QTX.AI fuses cutting-edge artificial intelligence with real-world asset (RWA) tokenization, opening a new era of transparency, modularity, and performance in algorithmic trading.

The platform is purpose-built to address one of the industry’s most pressing needs: bridging algorithmic intelligence with fundamental economic value.

An Intelligence System Grounded in Economic Reality

While many quant platforms rely on isolated technical indicators or black-box trading logic, QTX.AI introduces a fundamentally new approach—one where trading strategies are dynamically generated from a hybrid of machine-learned patterns and macro-fundamental, RWA-linked data.

Key data integrations include:

• On-chain liquidity flows across multi-chain DEXs
• Tokenized bond yields and credit indexes
• Real-time real estate-backed token analytics
• Macroeconomic inputs (Fed rates, CPI, unemployment, GDP delta)

This allows AI-generated trades to react not only to price, but to real-world shifts in credit risk, asset quality, and yield structures—all verified in-chain.

“We’re building AI that doesn’t just think faster—it thinks deeper. QTX.AI is where causality meets execution,” said Cheng Xu, Co-Founder of both QTX.AI and Luminga Capital.

QTX.AI Platform Highlights & Differentiation

1. Real World Asset (RWA) Integration as First-Class Logic
   Unlike platforms that treat RWA as external oracle feeds, QTX.AI allows RWAs to serve as primary model features—used in signal creation, execution pacing, and portfolio rebalancing.
2. Hybrid AI Engine: Transformer + Temporal Probabilistic Models
   QTX.AI’s proprietary architecture blends deep learning and time-series statistical modeling to capture nonlinear shifts and event-driven alpha, supported by in-house AI pipelines.
3. Strategy Marketplace with Model Ownership
   Researchers and institutions can deploy, monetize, and license strategies on the open QTX Marketplace, complete with risk audit trails, IP fingerprinting, and performance staking.
4. Smart Capital Allocation Engine
   QTX.AI’s AI-driven allocator scores strategies in real time by Sharpe, drawdown, volatility clustering, and cross-model correlation—then dynamically adjusts weights without manual intervention.
5. Institutional Risk Control Layer
   Built-in modules for circuit breakers, VAR analysis, max-loss gating, and regulatory compliance (including AML/KYC for RWA origination protocols).

Strategic Investment from Luminga Capital: More Than Capital

The financing round was led by Luminga Capital, a New York–based private investment firm with a mandate to back infrastructure projects at the intersection of machine intelligence and programmable capital.

Luminga Capital’s decision to lead the round is based on three core theses:

AI in finance must be explainable, not just performant

Quant systems must evolve beyond trading volatility, toward trading fundamentals

RWAs will become the backbone of DeFi 2.0, requiring new forms of capital logic

“With QTX.AI, we’re not just investing in a platform—we’re investing in a new financial language,” said Andrew Helm, Managing Director of Luminga Capital. “Our backing is both capital and capability, and Cheng Xu’s leadership is central to our conviction.”

As a co-founder of both QTX.AI and Luminga Capital, Cheng Xu ensures full alignment between funding, vision, and execution, reducing strategic drift and accelerating development velocity.

QTX.AI’s Global Expansion & Use Cases

QTX.AI is designed to operate across borders and asset classes, making it ideal for:

Family Offices & Wealth Funds
Hybrid portfolios combining tokenized treasuries and AI-traded stablecoins

Digital Banks & Brokerages
Custom AI strategy integrations with client-facing quant dashboards

RWA Protocols
Real-time pricing engines, predictive yield modeling, and smart distribution automation

Retail Quant Traders
Risk-audited, AI-generated signals with wallet-connected execution

Currently, QTX.AI is piloting with digital asset platforms in Japan, Korea, and the UAE, and is in technical onboarding with a North American RWA compliance tokenization layer.

Technical Stack at a Glance

All user funds remain non-custodial by default, with integration to leading custody providers such as Anchorage, BitGo, and Fireblocks for institutional deployment.

Future Roadmap

Q3 2025
Launch of QTX Strategy Marketplace
Integration of 10+ tokenized RWA pools (USDC bonds, RWAs from Centrifuge, Maple, Goldfinch)

Q4 2025
Model-as-a-Service API for brokerages
Partnership rollouts in South Korea & UAE

Q1 2026
Regulated DeFi onboarding portal for wealth managers
L2 deployment for latency-sensitive quant strategies

About QTX.AI

QTX.AI is an institutional-grade quantitative trading platform powered by artificial intelligence and real-world asset logic. Built by a team of former hedge fund quants, DeFi engineers, and machine learning experts, QTX.AI enables the next generation of asset management by transforming data into capital efficiency.

Backed by Luminga Capital, and co-founded by financial AI veteran Cheng Xu, the company operates across San Francisco, Singapore, Seoul, and Tokyo, with global partners in digital banking and RWA finance.

Website: www.qtxai.top
Twitter: @AI_QTX 

Press Contact
QTX.AI Media Office
press@qtxai.top