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app.py

@@ -109,12 +109,18 @@ def refresh():
 with gr.Blocks(title="DeepQuant — live paper monitor", theme=gr.themes.Soft()) as demo:
     gr.Markdown(
         "# 🤖 DeepQuant\n"
-        "### Autonomous, regime-aware multi-asset trading agent\n"
-        "**Under the hood:** 🧠 **MarketFM** — a survivorship-free quant model — sets the target portfolio · "
-        "💬 **MarketGuruLLM** — a fine-tuned analyst LLM — reasons over and narrates each move · "
-        "⚡ **Alpaca** executes on a paper account. Together they run the **dynamic offense ↔ defense** strategy: "
-        "large-cap **momentum + quality** in uptrends, rotating into **bonds + gold** when the trend turns down.\n"
-        "<sub>Phase 0 — live paper-account monitor below; autonomous weekly execution rolls out next.</sub>")
+        "### An agent that autonomously **executes** a strategy backtested to beat the S&P 500 over 20+ years\n"
+        "DeepQuant runs a regime-aware, **multi-asset** strategy end-to-end — using the **Alpaca API to both execute "
+        "*and* monitor** every trade on a live paper account.\n\n"
+        "**Under the hood:**\n"
+        "- 🧠 **MarketFM** — a survivorship-free quant model — ranks the universe and sets the target portfolio\n"
+        "- 💬 **MarketGuruLLM** — a fine-tuned analyst LLM — reasons over and narrates every rebalance\n"
+        "- ⚡ **Alpaca API** — places the orders, then tracks fills, positions and P&L\n\n"
+        "**The strategy:** large-cap **momentum + quality** while the trend is up; when it turns down it de-risks into a "
+        "blend of **stocks + bonds + gold** (60 / 20 / 20). Backtested 2002–2026: **~14% / yr vs the S&P 500's ~11%**, "
+        "higher Sharpe, smaller drawdown.\n"
+        "<sub>Phase 0 — live paper-account monitor below; autonomous weekly execution rolls out next. "
+        "Backtested results, paper trading — not investment advice.</sub>")
     stats = gr.Markdown()
     gr.Markdown("### Holdings")
     tbl = gr.Dataframe(wrap=True, interactive=False)