feat: add theme module and fix Streamlit Cloud deployment

- Add tradingagents/ui/theme.py (design system: colors, CSS, Plotly templates)
- Add .streamlit/config.toml for dark theme configuration
- Fix Plotly duplicate keyword args in performance.py and todays_picks.py
- Replace deprecated use_container_width with width="stretch" (Streamlit 1.54+)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

.streamlit/config.toml

@@ -0,0 +1,7 @@
+[theme]
+base = "dark"
+primaryColor = "#22c55e"
+backgroundColor = "#0a0e17"
+secondaryBackgroundColor = "#111827"
+textColor = "#e2e8f0"
+font = "monospace"

tradingagents/ui/pages/home.py

@@ -39,7 +39,7 @@ def render() -> None:
 
     best_strat_name = "N/A"
     best_strat_wr = 0.0
-    for item in (strategy_metrics or []):
+    for item in strategy_metrics or []:
         wr = item.get("Win Rate", 0) or 0
         if wr > best_strat_wr:
             best_strat_wr = wr
@@ -48,11 +48,25 @@ def render() -> None:
     # ---- KPI Row ----
     cols = st.columns(5)
     kpis = [
-        ("Win Rate 7d", f"{win_rate_7d:.0f}%", f"+{win_rate_7d - 50:.0f}pp vs 50%" if win_rate_7d >= 50 else f"{win_rate_7d - 50:.0f}pp vs 50%", "green" if win_rate_7d >= 50 else "red"),
+        (
+            "Win Rate 7d",
+            f"{win_rate_7d:.0f}%",
+            (
+                f"+{win_rate_7d - 50:.0f}pp vs 50%"
+                if win_rate_7d >= 50
+                else f"{win_rate_7d - 50:.0f}pp vs 50%"
+            ),
+            "green" if win_rate_7d >= 50 else "red",
+        ),
         ("Avg Return 7d", f"{avg_return_7d:+.2f}%", "", "green" if avg_return_7d > 0 else "red"),
         ("Open Positions", str(open_count), "", "blue"),
         ("Total Signals", str(total_recs), "", "amber"),
-        ("Top Strategy", best_strat_name.upper(), f"{best_strat_wr:.0f}% WR" if best_strat_wr else "", "green" if best_strat_wr >= 60 else "amber"),
+        (
+            "Top Strategy",
+            best_strat_name.upper(),
+            f"{best_strat_wr:.0f}% WR" if best_strat_wr else "",
+            "green" if best_strat_wr >= 60 else "amber",
+        ),
     ]
     for col, (label, value, delta, color) in zip(cols, kpis):
         with col:
@@ -80,21 +94,46 @@ def render() -> None:
                 size="Count",
                 color="Strategy",
                 hover_name="Strategy",
-                hover_data={"Win Rate": ":.1f", "Avg Return": ":.2f", "Count": True, "Strategy": False},
+                hover_data={
+                    "Win Rate": ":.1f",
+                    "Avg Return": ":.2f",
+                    "Count": True,
+                    "Strategy": False,
+                },
                 labels={"Win Rate": "Win Rate (%)", "Avg Return": "Avg Return (%)"},
                 size_max=40,
             )
 
             fig.add_hline(y=0, line_dash="dot", line_color=COLORS["text_muted"], opacity=0.4)
             fig.add_vline(x=50, line_dash="dot", line_color=COLORS["text_muted"], opacity=0.4)
-            fig.add_annotation(x=75, y=5, text="WINNERS", showarrow=False, font=dict(size=10, color=COLORS["green"], family="JetBrains Mono"), opacity=0.3)
-            fig.add_annotation(x=25, y=-5, text="LOSERS", showarrow=False, font=dict(size=10, color=COLORS["red"], family="JetBrains Mono"), opacity=0.3)
+            fig.add_annotation(
+                x=75,
+                y=5,
+                text="WINNERS",
+                showarrow=False,
+                font=dict(size=10, color=COLORS["green"], family="JetBrains Mono"),
+                opacity=0.3,
+            )
+            fig.add_annotation(
+                x=25,
+                y=-5,
+                text="LOSERS",
+                showarrow=False,
+                font=dict(size=10, color=COLORS["red"], family="JetBrains Mono"),
+                opacity=0.3,
+            )
 
             fig.update_layout(
                 **template,
                 height=380,
                 showlegend=True,
-                legend=dict(bgcolor="rgba(0,0,0,0)", font=dict(size=10), orientation="h", yanchor="bottom", y=-0.25),
+                legend=dict(
+                    bgcolor="rgba(0,0,0,0)",
+                    font=dict(size=10),
+                    orientation="h",
+                    yanchor="bottom",
+                    y=-0.25,
+                ),
             )
             st.plotly_chart(fig, width="stretch")
         else:
@@ -118,9 +157,17 @@ def render() -> None:
                 entry = rec.get("entry_price")
                 entry_str = f"${entry:.2f}" if entry else "N/A"
 
-                score_color = COLORS["green"] if score >= 35 else (COLORS["amber"] if score >= 20 else COLORS["text_muted"])
+                score_color = (
+                    COLORS["green"]
+                    if score >= 35
+                    else (COLORS["amber"] if score >= 20 else COLORS["text_muted"])
+                )
                 conf_bar_w = conf * 10
-                conf_color = COLORS["green"] if conf >= 8 else (COLORS["amber"] if conf >= 6 else COLORS["red"])
+                conf_color = (
+                    COLORS["green"]
+                    if conf >= 8
+                    else (COLORS["amber"] if conf >= 6 else COLORS["red"])
+                )
 
                 st.markdown(
                     f"""
@@ -156,7 +203,9 @@ def render() -> None:
                 )
 
             if len(recs) > 6:
-                st.caption(f"+{len(recs) - 6} more signals. Switch to Signals page for the full list.")
+                st.caption(
+                    f"+{len(recs) - 6} more signals. Switch to Signals page for the full list."
+                )
         else:
             st.info("No signals generated today.")
 

tradingagents/ui/pages/performance.py

@@ -11,18 +11,23 @@ import plotly.graph_objects as go
 import streamlit as st
 
 from tradingagents.ui.theme import COLORS, get_plotly_template, page_header
-from tradingagents.ui.utils import load_performance_database, load_statistics, load_strategy_metrics
+from tradingagents.ui.utils import load_statistics, load_strategy_metrics
 
 
 def render() -> None:
     """Render the performance analytics page."""
-    st.markdown(page_header("Performance", "Strategy analytics & win/loss breakdown"), unsafe_allow_html=True)
+    st.markdown(
+        page_header("Performance", "Strategy analytics & win/loss breakdown"),
+        unsafe_allow_html=True,
+    )
 
     strategy_metrics = load_strategy_metrics()
     stats = load_statistics()
 
     if not strategy_metrics:
-        st.warning("No performance data available yet. Run the discovery pipeline and track outcomes.")
+        st.warning(
+            "No performance data available yet. Run the discovery pipeline and track outcomes."
+        )
         return
 
     template = get_plotly_template()
@@ -105,15 +110,17 @@ def render() -> None:
         df_sorted = df.sort_values("Win Rate", ascending=True)
         colors = [COLORS["green"] if wr >= 50 else COLORS["red"] for wr in df_sorted["Win Rate"]]
 
-        fig_bar = go.Figure(go.Bar(
-            x=df_sorted["Win Rate"],
-            y=df_sorted["Strategy"],
-            orientation="h",
-            marker_color=colors,
-            text=[f"{wr:.0f}%" for wr in df_sorted["Win Rate"]],
-            textposition="auto",
-            textfont=dict(family="JetBrains Mono", size=11, color=COLORS["text_primary"]),
-        ))
+        fig_bar = go.Figure(
+            go.Bar(
+                x=df_sorted["Win Rate"],
+                y=df_sorted["Strategy"],
+                orientation="h",
+                marker_color=colors,
+                text=[f"{wr:.0f}%" for wr in df_sorted["Win Rate"]],
+                textposition="auto",
+                textfont=dict(family="JetBrains Mono", size=11, color=COLORS["text_primary"]),
+            )
+        )
 
         fig_bar.add_vline(x=50, line_dash="dot", line_color=COLORS["text_muted"], opacity=0.5)
 
@@ -158,16 +165,22 @@ def render() -> None:
         by_strat = stats["by_strategy"]
         rows = []
         for strat_name, data in by_strat.items():
-            rows.append({
-                "Strategy": strat_name,
-                "Count": data.get("count", 0),
-                "Win Rate 1d": f"{data.get('win_rate_1d', 0):.0f}%" if "win_rate_1d" in data else "N/A",
-                "Win Rate 7d": f"{data.get('win_rate_7d', 0):.0f}%" if "win_rate_7d" in data else "N/A",
-                "Wins 1d": data.get("wins_1d", 0),
-                "Losses 1d": data.get("losses_1d", 0),
-                "Wins 7d": data.get("wins_7d", 0),
-                "Losses 7d": data.get("losses_7d", 0),
-            })
+            rows.append(
+                {
+                    "Strategy": strat_name,
+                    "Count": data.get("count", 0),
+                    "Win Rate 1d": (
+                        f"{data.get('win_rate_1d', 0):.0f}%" if "win_rate_1d" in data else "N/A"
+                    ),
+                    "Win Rate 7d": (
+                        f"{data.get('win_rate_7d', 0):.0f}%" if "win_rate_7d" in data else "N/A"
+                    ),
+                    "Wins 1d": data.get("wins_1d", 0),
+                    "Losses 1d": data.get("losses_1d", 0),
+                    "Wins 7d": data.get("wins_7d", 0),
+                    "Losses 7d": data.get("losses_7d", 0),
+                }
+            )
 
         if rows:
             st.dataframe(pd.DataFrame(rows), width="stretch", hide_index=True)

tradingagents/ui/pages/portfolio.py

@@ -30,19 +30,23 @@ def render():
             st.write("")
             if st.button("Add Position"):
                 if ticker and entry_price > 0 and shares > 0:
-                    from tradingagents.dataflows.discovery.performance.position_tracker import PositionTracker
+                    from tradingagents.dataflows.discovery.performance.position_tracker import (
+                        PositionTracker,
+                    )
 
                     tracker = PositionTracker()
-                    pos = tracker.create_position({
-                        "ticker": ticker.upper(),
-                        "entry_price": entry_price,
-                        "shares": shares,
-                        "recommendation_date": datetime.now().isoformat(),
-                        "pipeline": "manual",
-                        "scanner": "manual",
-                        "strategy_match": "manual",
-                        "confidence": 5,
-                    })
+                    pos = tracker.create_position(
+                        {
+                            "ticker": ticker.upper(),
+                            "entry_price": entry_price,
+                            "shares": shares,
+                            "recommendation_date": datetime.now().isoformat(),
+                            "pipeline": "manual",
+                            "scanner": "manual",
+                            "strategy_match": "manual",
+                            "confidence": 5,
+                        }
+                    )
                     tracker.save_position(pos)
                     st.success(f"Added {ticker.upper()}")
                     st.rerun()
@@ -74,7 +78,12 @@ def render():
     summary_kpis = [
         ("Invested", f"${total_invested:,.0f}", "", "blue"),
         ("Current Value", f"${total_current:,.0f}", "", "blue"),
-        ("P/L", f"${total_pnl:+,.0f}", f"{total_pnl_pct:+.1f}%", "green" if total_pnl >= 0 else "red"),
+        (
+            "P/L",
+            f"${total_pnl:+,.0f}",
+            f"{total_pnl_pct:+.1f}%",
+            "green" if total_pnl >= 0 else "red",
+        ),
         ("Positions", str(len(positions)), "", "amber"),
     ]
     for col, (label, value, delta, color) in zip(cols, summary_kpis):
@@ -145,15 +154,17 @@ def render():
         data = []
         for p in positions:
             pnl = (p["metrics"]["current_price"] - p["entry_price"]) * p.get("shares", 0)
-            data.append({
-                "Ticker": p["ticker"],
-                "Entry": p["entry_price"],
-                "Current": p["metrics"]["current_price"],
-                "Shares": p.get("shares", 0),
-                "P/L": pnl,
-                "P/L %": p["metrics"]["current_return"],
-                "Days": p["metrics"]["days_held"],
-            })
+            data.append(
+                {
+                    "Ticker": p["ticker"],
+                    "Entry": p["entry_price"],
+                    "Current": p["metrics"]["current_price"],
+                    "Shares": p.get("shares", 0),
+                    "P/L": pnl,
+                    "P/L %": p["metrics"]["current_return"],
+                    "Days": p["metrics"]["days_held"],
+                }
+            )
         st.dataframe(
             pd.DataFrame(data),
             width="stretch",

tradingagents/ui/pages/settings.py

@@ -12,7 +12,10 @@ from tradingagents.ui.theme import COLORS, page_header
 
 def render() -> None:
     """Render the configuration page."""
-    st.markdown(page_header("Config", "Pipeline & scanner configuration (read-only)"), unsafe_allow_html=True)
+    st.markdown(
+        page_header("Config", "Pipeline & scanner configuration (read-only)"),
+        unsafe_allow_html=True,
+    )
 
     config = DEFAULT_CONFIG
     discovery_config = config.get("discovery", {})

tradingagents/ui/pages/todays_picks.py

@@ -23,7 +23,11 @@ def _load_price_history(ticker: str, period: str) -> pd.DataFrame:
         return pd.DataFrame()
 
     data = download_history(
-        ticker, period=period, interval="1d", auto_adjust=True, progress=False,
+        ticker,
+        period=period,
+        interval="1d",
+        auto_adjust=True,
+        progress=False,
     )
     if data is None or data.empty:
         return pd.DataFrame()
@@ -62,9 +66,11 @@ def render():
     # ---- Controls row ----
     ctrl_cols = st.columns([1, 1, 1, 1])
     with ctrl_cols[0]:
-        pipelines = sorted(set(
-            (r.get("pipeline") or r.get("strategy_match") or "unknown") for r in recommendations
-        ))
+        pipelines = sorted(
+            set(
+                (r.get("pipeline") or r.get("strategy_match") or "unknown") for r in recommendations
+            )
+        )
         pipeline_filter = st.multiselect("Strategy", pipelines, default=pipelines)
     with ctrl_cols[1]:
         min_confidence = st.slider("Min Confidence", 1, 10, 1)
@@ -79,7 +85,8 @@ def render():
 
     # Apply filters
     filtered = [
-        r for r in recommendations
+        r
+        for r in recommendations
         if (r.get("pipeline") or r.get("strategy_match") or "unknown") in pipeline_filter
         and r.get("confidence", 0) >= min_confidence
         and r.get("final_score", 0) >= min_score
@@ -130,7 +137,9 @@ def render():
                     history = _load_price_history(ticker, chart_window)
                     if not history.empty:
                         template = get_plotly_template()
-                        fig = px.line(history, x="date", y="close", labels={"date": "", "close": "Price"})
+                        fig = px.line(
+                            history, x="date", y="close", labels={"date": "", "close": "Price"}
+                        )
 
                         # Color line green if trending up, red if down
                         first_close = history["close"].iloc[0]
@@ -145,7 +154,9 @@ def render():
                         )
                         fig.update_layout(margin=dict(l=0, r=0, t=0, b=0))
                         fig.update_xaxes(showticklabels=False, showgrid=False)
-                        fig.update_yaxes(showgrid=True, gridcolor="rgba(42,53,72,0.3)", tickprefix="$")
+                        fig.update_yaxes(
+                            showgrid=True, gridcolor="rgba(42,53,72,0.3)", tickprefix="$"
+                        )
                         st.plotly_chart(fig, width="stretch")
 
                 # Action buttons

tradingagents/ui/theme.py

@@ -0,0 +1,596 @@
+"""
+Trading terminal dark theme for the Streamlit dashboard.
+
+Bloomberg/TradingView-inspired aesthetic with green/amber accents.
+Uses CSS variables for consistency and injects custom fonts.
+"""
+
+# -- Color Tokens --
+COLORS = {
+    "bg_primary": "#0a0e17",
+    "bg_secondary": "#111827",
+    "bg_card": "#1a2234",
+    "bg_card_hover": "#1f2b42",
+    "bg_input": "#151d2e",
+    "border": "#2a3548",
+    "border_active": "#3b82f6",
+    "text_primary": "#e2e8f0",
+    "text_secondary": "#94a3b8",
+    "text_muted": "#64748b",
+    "green": "#22c55e",
+    "green_dim": "#16a34a",
+    "green_glow": "rgba(34, 197, 94, 0.15)",
+    "red": "#ef4444",
+    "red_dim": "#dc2626",
+    "red_glow": "rgba(239, 68, 68, 0.15)",
+    "amber": "#f59e0b",
+    "amber_dim": "#d97706",
+    "blue": "#3b82f6",
+    "blue_dim": "#2563eb",
+    "cyan": "#06b6d4",
+    "purple": "#a855f7",
+}
+
+
+def get_plotly_template():
+    """Return a Plotly layout template matching the terminal theme."""
+    return dict(
+        paper_bgcolor=COLORS["bg_card"],
+        plot_bgcolor=COLORS["bg_card"],
+        font=dict(
+            family="JetBrains Mono, SF Mono, Menlo, monospace",
+            color=COLORS["text_secondary"],
+            size=11,
+        ),
+        xaxis=dict(
+            gridcolor="rgba(42, 53, 72, 0.5)",
+            zerolinecolor=COLORS["border"],
+            showgrid=True,
+            gridwidth=1,
+        ),
+        yaxis=dict(
+            gridcolor="rgba(42, 53, 72, 0.5)",
+            zerolinecolor=COLORS["border"],
+            showgrid=True,
+            gridwidth=1,
+        ),
+        margin=dict(l=0, r=0, t=32, b=0),
+        hoverlabel=dict(
+            bgcolor=COLORS["bg_secondary"],
+            font_color=COLORS["text_primary"],
+            bordercolor=COLORS["border"],
+        ),
+        colorway=[
+            COLORS["green"],
+            COLORS["blue"],
+            COLORS["amber"],
+            COLORS["cyan"],
+            COLORS["purple"],
+            COLORS["red"],
+        ],
+    )
+
+
+GLOBAL_CSS = f"""
+<style>
+@import url('https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@300;400;500;600;700&family=DM+Sans:wght@400;500;600;700&display=swap');
+
+/* ---- Root overrides ---- */
+:root {{
+    --bg-primary: {COLORS["bg_primary"]};
+    --bg-secondary: {COLORS["bg_secondary"]};
+    --bg-card: {COLORS["bg_card"]};
+    --border: {COLORS["border"]};
+    --text-primary: {COLORS["text_primary"]};
+    --text-secondary: {COLORS["text_secondary"]};
+    --green: {COLORS["green"]};
+    --red: {COLORS["red"]};
+    --amber: {COLORS["amber"]};
+    --blue: {COLORS["blue"]};
+}}
+
+/* ---- Global ---- */
+.stApp {{
+    background-color: var(--bg-primary) !important;
+    color: var(--text-primary);
+    font-family: 'DM Sans', -apple-system, BlinkMacSystemFont, sans-serif;
+}}
+
+/* Hide default Streamlit chrome */
+header[data-testid="stHeader"] {{
+    background-color: var(--bg-primary) !important;
+    border-bottom: 1px solid var(--border);
+}}
+
+/* ---- Sidebar ---- */
+section[data-testid="stSidebar"] {{
+    background-color: var(--bg-secondary) !important;
+    border-right: 1px solid var(--border);
+}}
+section[data-testid="stSidebar"] .stRadio label {{
+    color: var(--text-secondary) !important;
+    font-family: 'DM Sans', sans-serif;
+    font-weight: 500;
+    padding: 0.5rem 0.75rem;
+    border-radius: 6px;
+    transition: all 0.15s ease;
+}}
+section[data-testid="stSidebar"] .stRadio label:hover {{
+    background-color: var(--bg-card) !important;
+    color: var(--text-primary) !important;
+}}
+section[data-testid="stSidebar"] .stRadio label[data-checked="true"],
+section[data-testid="stSidebar"] .stRadio div[role="radiogroup"] label:has(input:checked) {{
+    background-color: var(--bg-card) !important;
+    color: var(--green) !important;
+    border-left: 3px solid var(--green);
+}}
+
+/* ---- Metric cards ---- */
+div[data-testid="stMetric"] {{
+    background: var(--bg-card);
+    border: 1px solid var(--border);
+    border-radius: 8px;
+    padding: 1rem 1.25rem;
+}}
+div[data-testid="stMetric"] label {{
+    color: var(--text-secondary) !important;
+    font-family: 'DM Sans', sans-serif;
+    font-size: 0.75rem;
+    font-weight: 600;
+    text-transform: uppercase;
+    letter-spacing: 0.05em;
+}}
+div[data-testid="stMetric"] div[data-testid="stMetricValue"] {{
+    color: var(--text-primary) !important;
+    font-family: 'JetBrains Mono', monospace;
+    font-weight: 600;
+}}
+div[data-testid="stMetric"] div[data-testid="stMetricDelta"] svg {{
+    display: none;
+}}
+div[data-testid="stMetric"] div[data-testid="stMetricDelta"] > div {{
+    font-family: 'JetBrains Mono', monospace;
+    font-weight: 500;
+}}
+
+/* ---- Custom KPI card classes ---- */
+.kpi-card {{
+    background: var(--bg-card);
+    border: 1px solid var(--border);
+    border-radius: 10px;
+    padding: 1.25rem 1.5rem;
+    position: relative;
+    overflow: hidden;
+}}
+.kpi-card::before {{
+    content: '';
+    position: absolute;
+    top: 0;
+    left: 0;
+    right: 0;
+    height: 3px;
+    border-radius: 10px 10px 0 0;
+}}
+.kpi-card.green::before {{ background: var(--green); }}
+.kpi-card.red::before {{ background: var(--red); }}
+.kpi-card.amber::before {{ background: var(--amber); }}
+.kpi-card.blue::before {{ background: var(--blue); }}
+.kpi-label {{
+    color: var(--text-secondary);
+    font-family: 'DM Sans', sans-serif;
+    font-size: 0.7rem;
+    font-weight: 600;
+    text-transform: uppercase;
+    letter-spacing: 0.08em;
+    margin-bottom: 0.3rem;
+}}
+.kpi-value {{
+    color: var(--text-primary);
+    font-family: 'JetBrains Mono', monospace;
+    font-size: 1.75rem;
+    font-weight: 700;
+    line-height: 1.2;
+}}
+.kpi-delta {{
+    font-family: 'JetBrains Mono', monospace;
+    font-size: 0.8rem;
+    font-weight: 500;
+    margin-top: 0.25rem;
+}}
+.kpi-delta.positive {{ color: var(--green); }}
+.kpi-delta.negative {{ color: var(--red); }}
+.kpi-delta.neutral {{ color: var(--text-muted); }}
+
+/* ---- Signal card (recommendation) ---- */
+.signal-card {{
+    background: var(--bg-card);
+    border: 1px solid var(--border);
+    border-radius: 10px;
+    padding: 1.25rem;
+    margin-bottom: 0.75rem;
+    transition: border-color 0.15s ease, box-shadow 0.15s ease;
+}}
+.signal-card:hover {{
+    border-color: {COLORS["border_active"]};
+    box-shadow: 0 0 0 1px {COLORS["border_active"]};
+}}
+.signal-header {{
+    display: flex;
+    align-items: center;
+    justify-content: space-between;
+    margin-bottom: 0.75rem;
+}}
+.signal-ticker {{
+    font-family: 'JetBrains Mono', monospace;
+    font-size: 1.25rem;
+    font-weight: 700;
+    color: var(--text-primary);
+}}
+.signal-rank {{
+    font-family: 'JetBrains Mono', monospace;
+    font-size: 0.75rem;
+    font-weight: 600;
+    color: var(--text-muted);
+    background: var(--bg-secondary);
+    padding: 0.2rem 0.6rem;
+    border-radius: 4px;
+}}
+.signal-badges {{
+    display: flex;
+    gap: 0.4rem;
+    flex-wrap: wrap;
+    margin-bottom: 0.75rem;
+}}
+.badge {{
+    font-family: 'DM Sans', sans-serif;
+    font-size: 0.65rem;
+    font-weight: 600;
+    padding: 0.2rem 0.5rem;
+    border-radius: 4px;
+    text-transform: uppercase;
+    letter-spacing: 0.04em;
+}}
+.badge-green {{
+    background: {COLORS["green_glow"]};
+    color: var(--green);
+    border: 1px solid {COLORS["green_dim"]};
+}}
+.badge-red {{
+    background: {COLORS["red_glow"]};
+    color: var(--red);
+    border: 1px solid {COLORS["red_dim"]};
+}}
+.badge-amber {{
+    background: rgba(245, 158, 11, 0.15);
+    color: var(--amber);
+    border: 1px solid {COLORS["amber_dim"]};
+}}
+.badge-blue {{
+    background: rgba(59, 130, 246, 0.15);
+    color: var(--blue);
+    border: 1px solid {COLORS["blue_dim"]};
+}}
+.badge-muted {{
+    background: rgba(100, 116, 139, 0.15);
+    color: var(--text-secondary);
+    border: 1px solid {COLORS["border"]};
+}}
+.signal-metrics {{
+    display: grid;
+    grid-template-columns: repeat(4, 1fr);
+    gap: 0.75rem;
+    margin-bottom: 0.75rem;
+}}
+.signal-metric {{
+    text-align: center;
+}}
+.signal-metric-label {{
+    font-size: 0.6rem;
+    color: var(--text-muted);
+    text-transform: uppercase;
+    letter-spacing: 0.06em;
+    font-family: 'DM Sans', sans-serif;
+    font-weight: 600;
+}}
+.signal-metric-value {{
+    font-family: 'JetBrains Mono', monospace;
+    font-size: 0.95rem;
+    font-weight: 600;
+    color: var(--text-primary);
+    margin-top: 0.15rem;
+}}
+.signal-thesis {{
+    font-family: 'DM Sans', sans-serif;
+    font-size: 0.82rem;
+    line-height: 1.55;
+    color: var(--text-secondary);
+    padding: 0.75rem;
+    background: var(--bg-secondary);
+    border-radius: 6px;
+    border-left: 3px solid var(--border);
+}}
+
+/* ---- Confidence bar ---- */
+.conf-bar {{
+    height: 4px;
+    background: var(--border);
+    border-radius: 2px;
+    overflow: hidden;
+    margin-top: 0.5rem;
+}}
+.conf-fill {{
+    height: 100%;
+    border-radius: 2px;
+    transition: width 0.3s ease;
+}}
+
+/* ---- Strategy tag colors ---- */
+.strat-momentum {{ border-left-color: var(--green) !important; }}
+.strat-insider {{ border-left-color: var(--amber) !important; }}
+.strat-earnings {{ border-left-color: var(--blue) !important; }}
+.strat-volume {{ border-left-color: {COLORS["cyan"]} !important; }}
+.strat-options {{ border-left-color: {COLORS["purple"]} !important; }}
+
+/* ---- Table styling ---- */
+.stDataFrame {{
+    background: var(--bg-card) !important;
+    border: 1px solid var(--border);
+    border-radius: 8px;
+}}
+div[data-testid="stDataFrame"] table {{
+    font-family: 'JetBrains Mono', monospace !important;
+    font-size: 0.8rem !important;
+}}
+div[data-testid="stDataFrame"] th {{
+    background: var(--bg-secondary) !important;
+    color: var(--text-secondary) !important;
+    font-family: 'DM Sans', sans-serif !important;
+    font-weight: 600 !important;
+    text-transform: uppercase;
+    font-size: 0.7rem !important;
+    letter-spacing: 0.05em;
+}}
+
+/* ---- Expander ---- */
+.streamlit-expanderHeader {{
+    background: var(--bg-card) !important;
+    border: 1px solid var(--border) !important;
+    border-radius: 8px !important;
+    font-family: 'DM Sans', sans-serif !important;
+    font-weight: 600;
+    color: var(--text-primary) !important;
+}}
+
+/* ---- Buttons ---- */
+.stButton > button {{
+    font-family: 'DM Sans', sans-serif;
+    font-weight: 600;
+    border-radius: 6px;
+    border: 1px solid var(--border);
+    background: var(--bg-card);
+    color: var(--text-primary);
+    transition: all 0.15s ease;
+}}
+.stButton > button:hover {{
+    border-color: var(--green);
+    color: var(--green);
+    background: {COLORS["green_glow"]};
+}}
+
+/* ---- Divider ---- */
+hr {{
+    border-color: var(--border) !important;
+    opacity: 0.5;
+}}
+
+/* ---- Subheader ---- */
+.stMarkdown h2, .stMarkdown h3 {{
+    font-family: 'DM Sans', sans-serif !important;
+    color: var(--text-primary) !important;
+    font-weight: 700;
+    letter-spacing: -0.02em;
+}}
+
+/* ---- Selectbox & slider ---- */
+div[data-baseweb="select"] {{
+    font-family: 'JetBrains Mono', monospace;
+}}
+
+/* ---- Scrollbar ---- */
+::-webkit-scrollbar {{
+    width: 6px;
+    height: 6px;
+}}
+::-webkit-scrollbar-track {{
+    background: var(--bg-primary);
+}}
+::-webkit-scrollbar-thumb {{
+    background: var(--border);
+    border-radius: 3px;
+}}
+::-webkit-scrollbar-thumb:hover {{
+    background: {COLORS["text_muted"]};
+}}
+
+/* ---- Section title with mono accent ---- */
+.section-title {{
+    font-family: 'DM Sans', sans-serif;
+    font-size: 1.1rem;
+    font-weight: 700;
+    color: var(--text-primary);
+    margin-bottom: 1rem;
+    display: flex;
+    align-items: center;
+    gap: 0.5rem;
+}}
+.section-title .accent {{
+    font-family: 'JetBrains Mono', monospace;
+    color: var(--green);
+    font-size: 0.85rem;
+}}
+
+/* ---- Page header ---- */
+.page-header {{
+    margin-bottom: 1.5rem;
+    padding-bottom: 1rem;
+    border-bottom: 1px solid var(--border);
+}}
+.page-header h1 {{
+    font-family: 'DM Sans', sans-serif;
+    font-weight: 700;
+    font-size: 1.6rem;
+    color: var(--text-primary);
+    margin: 0;
+    letter-spacing: -0.02em;
+}}
+.page-header .subtitle {{
+    font-family: 'JetBrains Mono', monospace;
+    font-size: 0.75rem;
+    color: var(--text-muted);
+    margin-top: 0.25rem;
+}}
+
+/* ---- Position row ---- */
+.pos-row {{
+    display: grid;
+    grid-template-columns: 80px 1fr repeat(5, 90px);
+    align-items: center;
+    padding: 0.75rem 1rem;
+    background: var(--bg-card);
+    border: 1px solid var(--border);
+    border-radius: 8px;
+    margin-bottom: 0.5rem;
+    font-family: 'JetBrains Mono', monospace;
+    font-size: 0.82rem;
+}}
+.pos-ticker {{
+    font-weight: 700;
+    color: var(--text-primary);
+    font-size: 0.95rem;
+}}
+
+</style>
+"""
+
+
+def kpi_card(label: str, value: str, delta: str = "", color: str = "blue") -> str:
+    """Render a custom KPI card as HTML."""
+    delta_class = (
+        "positive"
+        if delta.startswith("+")
+        else ("negative" if delta.startswith("-") else "neutral")
+    )
+    delta_html = f'<div class="kpi-delta {delta_class}">{delta}</div>' if delta else ""
+    return f"""
+    <div class="kpi-card {color}">
+        <div class="kpi-label">{label}</div>
+        <div class="kpi-value">{value}</div>
+        {delta_html}
+    </div>
+    """
+
+
+def page_header(title: str, subtitle: str = "") -> str:
+    """Render a page header as HTML."""
+    sub = f'<div class="subtitle">{subtitle}</div>' if subtitle else ""
+    return f"""
+    <div class="page-header">
+        <h1>{title}</h1>
+        {sub}
+    </div>
+    """
+
+
+def signal_card(
+    rank: int,
+    ticker: str,
+    score: int,
+    confidence: int,
+    strategy: str,
+    entry_price: float,
+    reason: str,
+) -> str:
+    """Render a recommendation signal card as HTML."""
+    # Confidence bar color
+    if confidence >= 8:
+        bar_color = COLORS["green"]
+    elif confidence >= 6:
+        bar_color = COLORS["amber"]
+    else:
+        bar_color = COLORS["red"]
+
+    # Score badge color
+    if score >= 40:
+        score_badge = "badge-green"
+    elif score >= 25:
+        score_badge = "badge-amber"
+    else:
+        score_badge = "badge-muted"
+
+    # Strategy badge
+    strat_badge = "badge-blue"
+    strat_css = ""
+    strat_lower = strategy.lower().replace(" ", "_")
+    if "momentum" in strat_lower:
+        strat_badge = "badge-green"
+        strat_css = "strat-momentum"
+    elif "insider" in strat_lower:
+        strat_badge = "badge-amber"
+        strat_css = "strat-insider"
+    elif "earnings" in strat_lower:
+        strat_badge = "badge-blue"
+        strat_css = "strat-earnings"
+    elif "volume" in strat_lower:
+        strat_badge = "badge-blue"
+        strat_css = "strat-volume"
+
+    entry_str = f"${entry_price:.2f}" if entry_price else "N/A"
+    conf_pct = confidence * 10
+
+    return f"""
+    <div class="signal-card {strat_css}">
+        <div class="signal-header">
+            <div style="display:flex;align-items:center;gap:0.75rem;">
+                <span class="signal-ticker">{ticker}</span>
+                <span class="signal-rank">#{rank}</span>
+            </div>
+        </div>
+        <div class="signal-badges">
+            <span class="badge {strat_badge}">{strategy}</span>
+            <span class="badge {score_badge}">Score {score}</span>
+            <span class="badge badge-muted">Conf {confidence}/10</span>
+        </div>
+        <div class="signal-metrics">
+            <div class="signal-metric">
+                <div class="signal-metric-label">Entry</div>
+                <div class="signal-metric-value">{entry_str}</div>
+            </div>
+            <div class="signal-metric">
+                <div class="signal-metric-label">Score</div>
+                <div class="signal-metric-value">{score}</div>
+            </div>
+            <div class="signal-metric">
+                <div class="signal-metric-label">Confidence</div>
+                <div class="signal-metric-value">{confidence}/10</div>
+            </div>
+            <div class="signal-metric">
+                <div class="signal-metric-label">Strategy</div>
+                <div class="signal-metric-value" style="font-size:0.75rem;">{strategy.upper()}</div>
+            </div>
+        </div>
+        <div class="signal-thesis">{reason}</div>
+        <div class="conf-bar">
+            <div class="conf-fill" style="width:{conf_pct}%;background:{bar_color};"></div>
+        </div>
+    </div>
+    """
+
+
+def pnl_color(value: float) -> str:
+    """Return green/red CSS color based on sign."""
+    if value > 0:
+        return COLORS["green"]
+    elif value < 0:
+        return COLORS["red"]
+    return COLORS["text_muted"]