David Smith

David Smith, the Founder and CEO of Aivista Quant Capital, is a visionary leader with over three decades of experience in the financial industry. He holds a B.A. in Economics from Harvard University (Dean’s Scholarship), an M.Sc. in Finance from the London School of Economics, and a Ph.D. in Finance. Joining JPMorgan as an analyst in 1993, Smith rose to Head of Global Macro Investments by 1996. His strategic investment in Microsoft (MSFT) in 1997 yielded a 600% return. During the 2008 financial crisis, he developed a Dynamic Hedging Model that delivered +45% returns. In 2020, Smith founded Aivista Quant Capital, launching the innovative Caelus AI quantitative trading system and AQC token. His “data-driven, adaptive, risk-controlled” investment philosophy shapes the company’s vision. Smith has trained over 1,000 professionals in quantitative finance and initiated the “Quantitative Inclusion Program” with UNDP and the World Bank to promote inclusive financial technology.

Edward Brown

Edward Brown, Chief Analyst at Aivista Quant Capital, brings over 20 years of expertise in global asset allocation, quantitative modeling, and data-driven trading. A University of Chicago graduate with a B.A. in Economics and a minor in Applied Statistics & Data Modeling, Brown previously worked as an analyst at Goldman Sachs and BlackRock. He now leads Aivista’s Data Analysis & Strategy Group and serves as the Core Strategy Advisor for the Caelus Quantitative Trading System. Brown spearheaded the development of Caelus’ core trading models and designed dual platforms: an app for retail investors and an API for institutional clients. His investment philosophy, “Markets are information systems; investing is a data structure,” emphasizes a three-step process: Data → Models → Execution. By transforming market chaos into clarity, Brown drives innovation through cognitive-driven design and algorithmic execution at Aivista.

Dr. Alex Johnson

Dr. Alex Johnson, AI R&D Director at Aivista Quant Capital, has 18 years of experience in AI and machine learning development. He leads Caelus AI’s core advancements, from the Neural-Symbolic Reasoning Framework (NSR-F) to self-evolving neural networks, enhancing quantitative finance applications. With a Ph.D. in Computer Science from Stanford, Alex has directed AI projects at top Silicon Valley firms. His innovations enable Caelus to process over 3 million data points per second with millisecond decisions. He integrates AQC token incentives, boosting adaptability while adhering to MSB compliance for global investor support.

Dr. Sophia Lee

Dr. Sophia Lee, AI Technical Director at Aivista Quant Capital, specializes in AI architecture design and deployment with 16 years of leadership experience. She oversees Caelus AI’s five-layer tech stack, optimizing data ingestion and risk management for efficient operations in complex markets. Holding a Master’s in AI from MIT, Sophia has led international research projects advancing Quantum-Inspired Neural Networks (QHNN). She collaborates on integrating the AQC token ecosystem (launched 2023), enhancing multi-market management. Backed by MSB certification, her contributions evolve the system from infrastructure to full deployment on an $80 million capital base.

Michael Carter

Michael Carter, Chief Financial Officer at Aivista Quant Capital, brings 22 years of financial management and compliance expertise. He oversees financial strategies, capital allocation, and MSB audits, ensuring effective use of $80 million in registered capital. With an MBA from Columbia University, Michael has held executive roles at Colorado institutions, excelling in risk assessment and optimization. He leads the finance team in designing economic models for Caelus AI and AQC tokens (0.15 USDT launch price), driving sustainable growth. He ensures transparent, secure investments to advance global wealth management innovation.

Laura Wilson

Laura Wilson, Human Resources Director at Aivista Quant Capital, has 14 years of HR management and talent development experience. She handles team building and professional training, ensuring elite collaboration for Caelus AI projects. With a Master’s in Human Resources from Princeton, Laura has led talent strategies in fintech firms. She streamlines recruitment to attract top analysts and AI experts, fostering MSB-compliant corporate culture. On an $80 million capital foundation, she promotes cross-departmental cooperation, incorporating AQC token incentives to expand the company’s global influence.

Ryan Patel

Ryan Patel, Cryptocurrency Analyst at Aivista Quant Capital, specializes in blockchain and digital assets with 12 years of crypto market experience. He uses Caelus AI’s on-chain data engine to optimize strategies and reduce slippage. Holding a Bachelor’s in Computer Science from UC Berkeley, Ryan has advised crypto funds. His insights capture DeFi and NFT opportunities, integrating the AQC token ecosystem (2023 launch). Under MSB framework, he provides data-driven crypto risk management, advancing the company’s digital asset leadership.

James Kim

James Kim, Options Investment Analyst at Aivista Quant Capital, excels in volatility forecasting and Greeks risk management with 13 years of options trading experience. He leverages Caelus AI’s high-precision surface predictions to optimize portfolio performance. Holding a Master’s in Mathematics from Oxford, James has led derivatives strategies in European markets. His innovations incorporate the AQC token ecosystem, ensuring transparent execution under MSB compliance. He maximizes options yields for investors in complex environments.

Michael Reynolds

Michael Reynolds develops Aivista Quant Capital’s investment strategies, managing quantitative models for stocks, options, futures, cryptocurrencies, and gold markets. He leads the team in using Caelus AI’s Neural-Symbolic Reasoning Framework (NSR-F) to configure multi-asset portfolios and develop arbitrage strategies, ensuring stable annualized returns. Reynolds manages AQC token liquidity support, collaborating with Amber Grid to optimize trading pair depth and price stability. He implements the Market Sentiment Quantification Engine (MSQE) with real-time data to provide wealth growth paths for global investors and oversees market value management goals, including repurchasing and burning mechanisms.

James Carter

James Carter optimizes Caelus AI algorithms and develops multi-factor Alpha models, analyzing market data to build volatility prediction and cross-market arbitrage strategies. He designs AQC’s staking reward system to maintain annualized yields and collaborates with Amber Grid to enhance trading pair liquidity. Carter manages data-driven strategy deployment across stocks, options, and cryptocurrencies, providing quantitative solutions for clients and supporting ecosystem governance voting functions.

William Hayes

William Hayes oversees Aivista Quant Capital’s blockchain infrastructure, developing Ethereum-compatible smart contracts for AQC transactions, staking, and governance, processing transactions per second. He implements quantum-resistant encryption, multi-signature wallets, and global node clusters to ensure system stability. Hayes drives AQC’s integration with Amber Grid, developing cross-chain transaction capabilities and managing IPFS data storage for long-term transaction traceability.

Thomas Bennett

Thomas Bennett manages Aivista’s risk assessment systems, using Caelus AI to monitor real-time risks in stocks, futures, and cryptocurrencies, developing Semantic Market Microstructure Analysis (SMMA) models. He oversees AQC’s market value strategy, including repurchasing and burning, and ensures compliance with MSB standards (FinCEN 31 CFR 1022.380). Bennett supervises portfolio volatility control, providing risk hedging solutions for global investors.

Robert Ellis

Robert Ellis handles AQC token’s global market promotion, developing multilingual interface plans (English, Chinese, Spanish, etc.) and leading user acquisition across markets. He collaborates with Amber Grid to optimize AQC trading pair liquidity and uses Caelus AI’s sentiment analysis to target clients. Ellis plans market expansion to Australia, Austria, and other regions to ensure AQC’s competitiveness in global wealth management.

Daniel Brooks

Caelus AI’s predictive models, developing the Market Sentiment Quantification Engine (MSQE) to support AQC pricing and strategies, processing data points per second. He manages IPFS data storage for long-term transaction traceability and builds cross-market arbitrage models across stocks, options, and cryptocurrencies. Brooks leads the data science team to support AI-driven strategy deployment.

Christopher Ward

Christopher Ward oversees AQC’s compliance and legal framework, ensuring adherence to MSB standards (FinCEN 31 CFR 1022.380) and leading PwC quarterly audits for transaction transparency. He manages legal reserves and strengthens KYC/AML processes, requiring additional reviews for transactions over $10,000. Ward collaborates with Amber Grid to drive AQC’s global compliance expansion, delivering a secure wealth management platform for investors.