Protecting Portfolios with Quantitative Intelligence
SmartTrading was founded on a simple belief: every investor deserves access to institutional-grade risk analysis. We combine quantitative finance, artificial intelligence, and real-time market data to give you a clear, actionable picture of your portfolio risk — so you can invest with confidence.
How It Works
Get from raw holdings to optimized risk management in three simple steps.
Add Portfolio
Enter your holdings with tickers and position sizes. We support US equities, ETFs, and more. Import manually or connect your brokerage.
Analyze Risk
Our engine calculates 10 distinct risk factors for every position, normalizes them on a 1–10 scale, and produces a weighted composite risk score.
Optimize
Receive AI-adjusted risk scores, optimized stop-loss levels, and data-driven analysis to help understand and manage downside exposure.
Our Technology
Built on a foundation of rigorous quantitative methods, enhanced by modern AI.
Quantitative Analysis
Statistical models calculate beta, volatility, drawdown, correlation, and more using proven financial mathematics.
AI-Powered Insights
GPT-4o analyzes market context, news sentiment, and qualitative factors to refine algorithmic risk scores.
Real-Time Data
Live market feeds ensure your risk scores reflect current prices, volumes, and market conditions — not stale data.
Risk Optimization
ATR-based stop-loss optimization with portfolio-level constraints ensures no single position can sink your portfolio.
Our Team
A multidisciplinary team combining finance, engineering, and data science.
Alex Chen
Former quantitative analyst at a top-tier hedge fund. 10+ years in systematic trading and risk management.
Sarah Mitchell
Full-stack engineer with a background in distributed systems and real-time data pipelines. Previously at a major fintech.
Dr. Michael Torres
PhD in Financial Mathematics. Published researcher in portfolio optimization and factor modeling.