Founded in 2018 and headquartered in Charlotte, NC, Nex Avenue Capital is committed to providing intelligent, data driven financial solutions for global investors, helping clients achieve wealth growth. We specialize in stocks, futures, forex, cryptocurrencies, and bonds, leveraging a globally diversified, multi asset allocation strategy to establish a stable and robust return system.
With the support of a top tier investment research team and a globally leading AI quantitative system, we precisely capture market opportunities, ensuring that investors maximize their returns in global markets.
CUSTOMIZED INVESTMENT STRATEGIES FOR CLIENT’S SPECIFIC NEEDS.
Contact UsWe initiate our process by gathering and evaluating innovative investment ideas that align with our client's financial objectives and market trends.
Our team of analysts leverages advanced data analytics to assess the potential of each investment, ensuring a data-driven approach to strategy formulation.
After thorough analysis and client consultation, we finalize investment strategies that are tailored to meet the unique needs and goals of our clients, aiming for optimal financial outcomes.
Sebastian Thorne Global Equity Researcher Education: M.A. in Economics, Stanford UniversityIndustry Experience: 18+ Years | Specialization: Equity investments in Technology, Healthcare & Energy; Disruptive Technology Assessment Sebastian Thorne leads a global equity research team with a deep focus on core industries shaping the future: Technology (including AI, Electric Vehicles & Aerospace), Healthcare (Biotechnology & Precision Medicine), and Energy (Renewables & Energy Storage Technologies). He possesses particular expertise in analyzing the industry transformations driven by Elon Musk's enterprises (such as Tesla, SpaceX, Neuralink) and their associated investment opportunities. Sebastian has an outstanding track record managing large-scale, actively-managed global equity funds, having previously held direct responsibility for a $23 billion Global Growth Equity fund during his tenure at BlackRock. He is highly proficient in integrating in-depth financial modeling, technology roadmap analysis, and industry ecosystem research to conduct precise valuation and trend forecasting for companies operating at the technological frontier. His research has provided critical decision-making support for top-tier global institutional investors navigating the waves of disruptive technological innovation.
Tabitha Quinn Senior Fixed Income Strategist Education: M.Sc. in Finance, London School of Economics (LSE) Industry Experience: 12+ Years | Specialization: Fixed Income Investments, Interest Rate Strategy, Corporate Credit Tabitha Quinn possesses over 12 years of extensive experience in fixed income. Previously, she served as a Senior Portfolio Manager at Goldman Sachs, responsible for managing investment-grade and high-yield bond portfolios. Ms. Quinn specializes in credit risk assessment and interest rate strategy formulation, demonstrating expertise in navigating bond market volatility to generate steady returns for portfolios. Her in-depth analytical reports and acute market insights have established her as a recognized fixed income investment expert within the industry.
Hakim Lim Financial Risk Manager Education: M.Sc. in Risk Management, Ross School of Business, University of Michigan Industry Experience: 18 Years | Specialization: Counterparty Credit Management, Regulatory Compliance Implementation, Operational Risk Controls Hakim Lim focuses on enhancing risk operation efficiency for financial institutions. During his tenure as a Market Risk Manager for State Street’s Asia-Pacific division, he facilitated the upgrade of the counterparty rating system, compressing rating updates to 8 hours (from 72 hours previously) and reducing manual error rates by 35%. Previously, he contributed to the Monetary Authority of Singapore’s (MAS) stress testing guidelines revision project, leading the data validation module design. The cross-border capital monitoring template he co-developed achieved 98.7% regulatory reporting accuracy during 2020 market volatility (industry average: 94.2%).
Hugo Strickland Quantitative Trader Education: Dual Degree in Computer Science & Applied Mathematics, California Institute of Technology (Caltech) Industry Experience: 14+ Years | Specialization: Statistical Arbitrage Strategies, Derivatives Pricing Models, Risk Management Algorithms Hugo Strickland possesses extensive expertise in quantitative trading system development and complex financial modeling. During his tenure at Two Sigma, he led the multi-asset quantitative strategies team and spearheaded the development of a reinforcement learning-based dynamic risk control framework, which successfully reduced portfolio drawdowns by 37%. His core competency lies in integrating distributed computing with real-time market data analytics. The high-frequency volatility forecasting model he engineered delivered 24% annualized alpha during extreme market volatility periods (2022-2024).
Renata Pacheco Asset Allocation Analyst Education: M.Sc. in Mathematical Finance, University of Toronto Industry Experience: 12 Years | Specialization: Multi-Asset Risk Budgeting Allocation, Low-Volatility Strategies Renata Pacheco specializes in constructing robust institutional portfolios. During her tenure at Fidelity Investments, her team managed $4.5 billion in multi-asset strategies. Through dynamic adjustment of equity-bond risk premium exposures, their flagship strategy delivered a 9.2% annualized return throughout the 2019-2023 full market cycle—outpacing its benchmark by 2.1%—while maintaining volatility at less than 80% of the benchmark's level.