AI Quant Performance Tracker

Algorithmic Trading Models — Real-Time Verified Results
LIVE SINCE MARCH 26, 2026

Cumulative Return — Model A vs Model B vs S&P 500

Daily NAV — Dollar Value ($1M Start)

Top Holdings (Anonymized Weights)

Methodology

Both models use a multi-factor scoring engine that evaluates 150-190 tickers daily across momentum, value, quality, and macro regime signals. Positions are sized by conviction score and rebalanced daily at market close.

Model A (Concentrated) runs against a curated universe of ~186 US-listed securities with higher position concentration. It targets regime shifts and sector rotation with larger individual bets.

Model B (Diversified) runs against a broader global universe of ~152 tickers including international ETFs, commodities, and bonds. It maintains more positions with smaller individual weights for diversification.

Both models can go long and short. Short positions target overvalued, high-multiple names scoring below 25 on the composite factor model. Cash allocation is dynamic — models hold 30-50% cash during high-uncertainty regimes.

All trades are timestamped and logged before execution. No retroactive adjustments. No survivorship bias. What you see is what happened.

⚠️ Disclaimer: This is a simulated portfolio tracker for educational and research purposes. Past performance does not guarantee future results. These models run on paper — no real capital is at risk. The returns shown reflect theoretical execution at closing prices and do not account for slippage, commissions, or market impact. This is not financial advice. Do not trade based on these signals without your own due diligence.