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  "text": "Use Case 2: Financial Time Series Prediction\n\nCan an AI agent navigate sequential, no-look-ahead market decisions?\n\nJust for fun, we tested Fugu Ultra on 50 weeks of historical data for an anonymized equity (STOCK_X). Starting with $10,000, the agent processes weekly market data (prices, volume, moving averages, volatility) and decides whether to buy, hold, or sell.\n\nAfter each action, the next week's price is revealed. The model must adapt purely from feedback, without ever seeing the future.\n\nThe Results across five identical 50-week runs:\n\n• Fugu Ultra grew the portfolio to $11,943.22 (a +19.43% mean return).\n• The other frontier models (Models A, B, and C) all capped out at less than a +15% return.\n\n(Mandatory disclaimer: Past performance does not guarantee future results, and results may not transfer to other assets, time periods, or live markets.)",
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