AI-Driven WTI Trading Technology

We are a technology
partner — not a fund.

NeuroQuant deploys AI trading models directly into your segregated account. You own the capital. We operate the edge. Performance fees only — fully aligned with you.

Request a Briefing How It Works ↓
+5%
Avg monthly return
(3-month live period)
>90%
Short-term directional
accuracy (model)
0%
Management fee
Performance-based only

Operating Model

Built for transparency and accountability.

Three principles that distinguish NeuroQuant from every other trading technology provider.

01
Your capital
Stays in your account at all times. NeuroQuant never takes custody of client funds. Your account is held at your prime broker, in your name.
02
Your performance
Measured in a segregated account so strategy-level results are fully auditable in isolation. No pooling, no opacity, no excuses.
03
Our incentive
100% performance-based fees. We earn only when you earn. No management fee means our team is motivated by the exact same returns our clients see.

Why WTI

Structural characteristics of the WTI market.

Not statistical noise. WTI markets have persistent, exploitable inefficiencies with identifiable structural roots.

Hedging flow imbalance
Commercial market participants transact for operational necessity — not for alpha. Their predictable, non-discretionary flows create systematic price dislocations that pure alpha seekers can consistently exploit.
Multi-Horizon Mispricing
WTI is priced simultaneously by actors with different time horizons. Short-term sentiment and long-term fundamentals regularly diverge, creating layered signal opportunities across intraday, daily, and weekly timeframes.
Event Sensitivity
WTI reacts sharply to EIA inventory data, geopolitical events, and OPEC decisions — but the reaction patterns are learnable. AI models trained systematically on this data outperform human discretion at capturing post-event moves.
Liquidity Profile
Deep liquidity enables institutional entry and exit without market impact. Yet WTI is focused enough that behavioral patterns repeat. This combination is rare across commodity markets and is what makes AI-based edge durable.

The Technology

Model architecture — multi-horizon neural ensemble.

Predictive models and execution infrastructure designed specifically for WTI. Not adapted from equities — built from scratch.

Model Architecture
Short-Horizon Model
Minutes to hours  ·  >90% directional accuracy in live testing
Medium-Horizon Model
Hours to days  ·  Signal-strength weighted position sizing
Long-Horizon Model
Days to weeks  ·  Volatility regime detection and exposure scaling
Execution Layer
Adaptive Learning
Models continuously retrained on live market data — no static strategy decay.
Customizable Rule-Based Execution
Strict risk controls govern every trade. Human discretion removed from execution.
Dynamic Position Sizing
Size driven by signal strength, time horizon, and real-time market conditions.
Institutional Grade
Segregated account environments with full auditability at the trade level.

Live Results

Real capital. Real returns. Audit in progress.

3 months of live deployment. Presented as proof of concept — full audited data available to qualified investors under NDA.

+5%
Average monthly return
(3-month live period)
~0.23%
Average daily return
(live trading)
>90%
Short-term directional
accuracy (model metric)
0%
Management fee
Performance-based only
Context: 3 months is an early-stage track record, presented as proof of concept — not a long-term guarantee. The >90% directional accuracy is a model performance metric. Live trading results reflect execution, slippage, and position sizing layered on top. Independent audit is currently in progress. Full audited data will be shared with qualified investors under NDA.

Business Model

Performance fees only. Fully aligned with investors.

20%
of quarterly net profits
0% MANAGEMENT FEE
We don't earn when you don't.
No management fee means our entire team is motivated by the same returns our clients see. Our incentives are structurally identical to yours.
High-water mark applies.
Fees are only charged on net new profits above the previous performance peak. Losses must be recovered before fees resume.
Capacity is actively managed.
To protect edge quality, we limit total AUM per strategy. Strategy scarcity is how we stay effective for existing clients.

How It Works

Client control. Technology execution.

Four steps from onboarding to live trading. At no point does NeuroQuant hold or control your capital.

01
Open your segregated account
Account held at a prime broker in your name. NeuroQuant receives trading authority under agreed parameters — never custody.
02
Define strategy parameters
Risk tolerance, exposure limits, capital deployment constraints — fully customizable before trading begins.
03
AI executes within parameters
Neural models generate signals. Customizable rule-based execution layer trades within your agreed constraints.
04
Real-time visibility & reporting
Full visibility into every trade, signal, risk parameter, and P&L. Performance is auditable at trade level from day one.

No custody of client funds at any point in this process.

Who We Serve

Clients who seek repeatable alpha —
not research or opinions.

🏢
Trading Companies
Prop trading desks and energy-focused trading firms seeking an additional AI-driven systematic layer with full operational control.
🏛️
Family Offices
Single and multi-family offices with capital to deploy into systematic commodity strategies, requiring transparency and no custody risk.
⚡
Strategic Energy Firms
Energy producers, refiners, and commodity firms who want to monetize their market insight alongside a systematic AI execution layer.

The Team

Built at the intersection of AI research and trading operations.

Founders
Vitalie Tataru
Vitalie Tataru
Co-Founder
  • AI & Technology strategy development & execution
  • Talent acquisition and development
Nebojsa Dobrijevic
Nebojsa Dobrijevic
Co-Founder
  • Business & Risk management and execution infrastructure
  • Institutional trading environment build-out
Leadership & Team
Christopher Cathey
Christopher Cathey
Chief Investment Officer
  • Trading operations and strategy commercialization
  • Client relationships and business development
Anatol Poiata
Anatol Poiata
AI System Architecture
  • Core predictive engine design and development
Vitalie Ursachi
Vitalie Ursachi
Quantitative & Risk
  • Quantitative and risk modeling
  • IT infrastructure

Get in Touch

Ready to deploy the edge
into your account?

We work with a limited number of clients per strategy. If you're a qualified investor or institutional trading operation, reach out directly to request a briefing.

Request a Briefing
info@neuro-quant.com