Initial commit — Prism financial analysis dashboard

Streamlit app with market bar, price chart, financial statements,
DCF valuation engine, comparable companies, and news feed.

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

1 files changed, 97 insertions, 0 deletions

diff --git a/components/overview.py b/components/overview.py
new file mode 100644
index 0000000..7407753
--- /dev/null
+++ b/components/overview.py
@@ -0,0 +1,97 @@
+"""Company overview — header, key stats, and price chart."""
+import streamlit as st
+import plotly.graph_objects as go
+from services.data_service import get_company_info, get_price_history
+from utils.formatters import fmt_large, fmt_currency, fmt_pct, fmt_ratio
+
+
+PERIODS = {"1 Month": "1mo", "3 Months": "3mo", "6 Months": "6mo", "1 Year": "1y", "5 Years": "5y"}
+
+
+def render_overview(ticker: str):
+    info = get_company_info(ticker)
+    if not info:
+        st.error(f"Could not load data for **{ticker}**. Check the ticker symbol.")
+        return
+
+    # ── Company header ──────────────────────────────────────────────────────
+    name = info.get("longName") or info.get("shortName", ticker.upper())
+    price = info.get("currentPrice") or info.get("regularMarketPrice")
+    prev_close = info.get("regularMarketPreviousClose") or info.get("previousClose")
+
+    price_change = None
+    price_change_pct = None
+    if price and prev_close:
+        price_change = price - prev_close
+        price_change_pct = price_change / prev_close
+
+    col1, col2 = st.columns([3, 1])
+    with col1:
+        st.subheader(f"{name} ({ticker.upper()})")
+        sector = info.get("sector", "")
+        industry = info.get("industry", "")
+        if sector:
+            st.caption(f"{sector} · {industry}")
+
+    with col2:
+        delta_str = None
+        if price_change is not None and price_change_pct is not None:
+            delta_str = f"{price_change:+.2f} ({price_change_pct * 100:+.2f}%)"
+        st.metric(
+            label="Price",
+            value=fmt_currency(price) if price else "—",
+            delta=delta_str,
+        )
+
+    # ── Key stats strip ─────────────────────────────────────────────────────
+    stats_cols = st.columns(6)
+    stats = [
+        ("Mkt Cap", fmt_large(info.get("marketCap"))),
+        ("P/E (TTM)", fmt_ratio(info.get("trailingPE"))),
+        ("EPS (TTM)", fmt_currency(info.get("trailingEps"))),
+        ("52W High", fmt_currency(info.get("fiftyTwoWeekHigh"))),
+        ("52W Low", fmt_currency(info.get("fiftyTwoWeekLow"))),
+        ("Beta", fmt_ratio(info.get("beta"))),
+    ]
+    for col, (label, val) in zip(stats_cols, stats):
+        col.metric(label, val)
+
+    st.divider()
+
+    # ── Price chart ─────────────────────────────────────────────────────────
+    period_label = st.radio(
+        "Period",
+        options=list(PERIODS.keys()),
+        index=3,
+        horizontal=True,
+        label_visibility="collapsed",
+    )
+    period = PERIODS[period_label]
+
+    hist = get_price_history(ticker, period=period)
+    if hist.empty:
+        st.warning("No price history available.")
+        return
+
+    fig = go.Figure()
+    fig.add_trace(
+        go.Scatter(
+            x=hist.index,
+            y=hist["Close"],
+            mode="lines",
+            name="Close",
+            line=dict(color="#4F8EF7", width=2),
+            fill="tozeroy",
+            fillcolor="rgba(79, 142, 247, 0.08)",
+        )
+    )
+    fig.update_layout(
+        margin=dict(l=0, r=0, t=10, b=0),
+        xaxis=dict(showgrid=False, zeroline=False),
+        yaxis=dict(showgrid=True, gridcolor="rgba(255,255,255,0.05)", zeroline=False),
+        plot_bgcolor="rgba(0,0,0,0)",
+        paper_bgcolor="rgba(0,0,0,0)",
+        hovermode="x unified",
+        height=320,
+    )
+    st.plotly_chart(fig, use_container_width=True)