Add top movers section (gainers, losers, most active)

1 files changed, 100 insertions, 0 deletions

diff --git a/components/top_movers.py b/components/top_movers.py
new file mode 100644
index 0000000..ac76504
--- /dev/null
+++ b/components/top_movers.py
@@ -0,0 +1,100 @@
+"""Top Movers component — day gainers, losers, most active."""
+import streamlit as st
+import yfinance as yf
+
+
+@st.cache_data(ttl=180)
+def _fetch_movers(screen: str, count: int = 8) -> list[dict]:
+    try:
+        result = yf.screen(screen, count=count)
+        return result.get("quotes", [])
+    except Exception:
+        return []
+
+
+def _fmt_pct(val) -> str:
+    try:
+        return f"{float(val):+.2f}%"
+    except Exception:
+        return "—"
+
+
+def _fmt_price(val) -> str:
+    try:
+        return f"${float(val):,.2f}"
+    except Exception:
+        return "—"
+
+
+def _mover_row(q: dict):
+    symbol = q.get("symbol", "")
+    name = q.get("shortName") or q.get("longName") or symbol
+    price = q.get("regularMarketPrice")
+    chg_pct = q.get("regularMarketChangePercent")
+    chg_abs = q.get("regularMarketChange")
+
+    try:
+        chg_f = float(chg_pct)
+        color = "#2ecc71" if chg_f >= 0 else "#e74c3c"
+        sign = "+" if chg_f >= 0 else ""
+        pct_str = f"{sign}{chg_f:.2f}%"
+    except Exception:
+        color = "#9aa0b0"
+        pct_str = "—"
+
+    try:
+        abs_str = f"({'+' if float(chg_abs) >= 0 else ''}{float(chg_abs):.2f})"
+    except Exception:
+        abs_str = ""
+
+    col_sym, col_name, col_price, col_chg = st.columns([1, 3, 1.5, 1.5])
+    with col_sym:
+        st.markdown(f"**{symbol}**")
+    with col_name:
+        st.caption(name[:40])
+    with col_price:
+        st.markdown(_fmt_price(price))
+    with col_chg:
+        st.markdown(
+            f"<span style='color:{color};font-weight:600'>{pct_str}</span>"
+            f"<span style='font-size:0.75rem;color:#9aa0b0'> {abs_str}</span>",
+            unsafe_allow_html=True,
+        )
+
+
+def render_top_movers():
+    st.markdown("#### 🔥 Top Movers")
+
+    tab_gainers, tab_losers, tab_active = st.tabs([
+        "📈 Gainers", "📉 Losers", "⚡ Most Active"
+    ])
+
+    screens = {
+        "gainers": "day_gainers",
+        "losers": "day_losers",
+        "active": "most_actives",
+    }
+
+    with tab_gainers:
+        quotes = _fetch_movers(screens["gainers"])
+        if quotes:
+            for q in quotes:
+                _mover_row(q)
+        else:
+            st.caption("No data available.")
+
+    with tab_losers:
+        quotes = _fetch_movers(screens["losers"])
+        if quotes:
+            for q in quotes:
+                _mover_row(q)
+        else:
+            st.caption("No data available.")
+
+    with tab_active:
+        quotes = _fetch_movers(screens["active"])
+        if quotes:
+            for q in quotes:
+                _mover_row(q)
+        else:
+            st.caption("No data available.")