Building AI Investment Teams: Outperforming QQQ with Growth and Momentum Strategies

By — 7+ years building ML / AI agent systems, founder of agent-engineering.dev & sandx.ai.
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ai investment teamsoutperforming qqqsandx.aiai tradingAI trading strategy

At the end of last year, I created https://www.sandx.ai, a platform that lets you deploy your own AI investment team tailored to your strategy. It features a Chief Investment Officer, Macro Market Research Analyst, Stock Research Analyst, Python Technical Analyst, Stock Picker Analyst, Risk Analyst, and Fundamental Analyst.

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These analysts leverage top-tier AI large language models, real-time market data, and specialized tools to plan, evaluate, and execute trades.

Over the past four months, I've evaluated two strategies:

Growth Investment: Targets high-growth stocks, accepting higher volatility.

Technical Momentum: Uses Python technical analysis to identify trends and capture momentum stocks.

Both have outperformed the QQQ benchmark. The Growth strategy matched QQQ's volatility but rebounded stronger, delivering a 5.9% return vs. QQQ's -1.58%.

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The Technical Momentum strategy returned 3% with remarkably low volatility and minimal drawdown in March.

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This platform confirms my hypothesis: AI-driven decisions outperform those of disciplined, non-professional investors.

All trades are fully transparent and traceable, executed autonomously using real-time data, no human intervention.

The project is currently closed-source with registration paused. Join the waitlist if interested.

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