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"""Macro tab — market-wide panels: Index Performance, Yield Curve, Sector Heatmap."""
import streamlit as st
import streamlit.components.v1 as _html
import plotly.graph_objects as go
import yfinance as yf
import pandas as pd
from datetime import date as _date
_INDICES = {
"S&P 500": "^GSPC",
"NASDAQ": "^IXIC",
"DOW": "^DJI",
"Russell": "^RUT",
"VIX": "^VIX",
}
_YIELDS = {
"3M": "^IRX",
"5Y": "^FVX",
"10Y": "^TNX",
"30Y": "^TYX",
}
_SECTORS = {
"Technology": "XLK",
"Financials": "XLF",
"Healthcare": "XLV",
"Energy": "XLE",
"Industrials": "XLI",
"Cons. Disc.": "XLY",
"Cons. Stap.": "XLP",
"Utilities": "XLU",
"Real Estate": "XLRE",
"Materials": "XLB",
"Comm. Svcs.": "XLC",
}
# ── Data fetch ────────────────────────────────────────────────────────────────
@st.cache_data(ttl=300)
def _get_macro_data() -> dict:
indices = {}
for name, sym in _INDICES.items():
try:
hist = yf.Ticker(sym).history(period="1y")
if hist.empty:
indices[name] = None
continue
closes = hist["Close"].dropna()
last = float(closes.iloc[-1])
def _pct(n):
if len(closes) > n:
return float((closes.iloc[-1] - closes.iloc[-(n + 1)]) / closes.iloc[-(n + 1)] * 100)
return None
p1d = _pct(1)
p1w = _pct(5)
p1m = _pct(21)
today = _date.today()
jan1 = pd.Timestamp(today.year, 1, 1)
idx = closes.index
if idx.tz is not None:
jan1 = jan1.tz_localize(idx.tz)
ytd_slice = closes[idx.normalize() >= jan1.normalize()]
pytd = float((last - float(ytd_slice.iloc[0])) / float(ytd_slice.iloc[0]) * 100) if not ytd_slice.empty else None
indices[name] = {"price": last, "1d": p1d, "1w": p1w, "1m": p1m, "ytd": pytd}
except Exception:
indices[name] = None
yields = {}
for label, sym in _YIELDS.items():
try:
hist = yf.Ticker(sym).history(period="5d")
if hist.empty:
yields[label] = None
continue
closes = hist["Close"].dropna()
curr = float(closes.iloc[-1])
prev = float(closes.iloc[-2]) if len(closes) >= 2 else None
yields[label] = {"rate": curr, "change_1d": (curr - prev) if prev is not None else None}
except Exception:
yields[label] = None
sectors = {}
for name, etf in _SECTORS.items():
try:
hist = yf.Ticker(etf).history(period="2d")
if len(hist) >= 2:
pct = float((hist["Close"].iloc[-1] - hist["Close"].iloc[-2]) / hist["Close"].iloc[-2] * 100)
price = float(hist["Close"].iloc[-1])
elif len(hist) == 1:
pct = 0.0
price = float(hist["Close"].iloc[-1])
else:
sectors[name] = None
continue
sectors[name] = {"etf": etf, "pct": pct, "price": price}
except Exception:
sectors[name] = None
return {"indices": indices, "yields": yields, "sectors": sectors}
# ── Helpers ───────────────────────────────────────────────────────────────────
def _pct_cell(v) -> str:
"""Return an HTML <span> with color class for a % value."""
if v is None:
return "<span class='flat'>—</span>"
sign = "+" if v >= 0 else ""
cls = "pos" if v > 0.005 else ("neg" if v < -0.005 else "flat")
return "<span class='" + cls + "'>" + sign + f"{v:.2f}%" + "</span>"
def _sector_bg(pct: float) -> str:
"""Interpolate background color between neutral and pos/neg based on magnitude."""
neutral = (24, 29, 38)
pos_bg = (21, 36, 26)
neg_bg = (42, 21, 23)
intensity = min(1.0, abs(pct) / 3.0)
target = pos_bg if pct >= 0 else neg_bg
r = int(neutral[0] + (target[0] - neutral[0]) * intensity)
g = int(neutral[1] + (target[1] - neutral[1]) * intensity)
b = int(neutral[2] + (target[2] - neutral[2]) * intensity)
return "rgb(" + str(r) + "," + str(g) + "," + str(b) + ")"
# ── Panel renderers ───────────────────────────────────────────────────────────
def _render_index_table(indices: dict) -> None:
css = (
"<style>"
"* { margin:0; padding:0; box-sizing:border-box; }"
"body { background:#0B0E13; font-family:'IBM Plex Mono',monospace; overflow:hidden; }"
"table { width:100%; border-collapse:collapse; }"
"thead th {"
" font-family:'IBM Plex Sans',sans-serif; font-size:10px; font-weight:600;"
" text-transform:uppercase; letter-spacing:0.14em; color:#5E5849;"
" padding:7px 12px 7px; border-bottom:1px solid #232934; text-align:right; }"
"thead th:first-child { text-align:left; }"
"tbody tr { border-bottom:1px solid #181D26; }"
"tbody td { padding:9px 12px; font-size:13px; color:#C7C0AE; text-align:right; "
" font-variant-numeric:tabular-nums; }"
"tbody td:first-child { text-align:left; color:#F2ECDC; font-size:12px; letter-spacing:0.02em; }"
".pos { color:#4F8C5E; } .neg { color:#B5494B; } .flat { color:#5E5849; }"
"</style>"
)
head = (
"<table><thead><tr>"
"<th>Index</th><th>Price</th><th>1D</th><th>1W</th><th>1M</th><th>YTD</th>"
"</tr></thead><tbody>"
)
rows = ""
for name, d in indices.items():
if d is None:
rows += "<tr><td>" + name + "</td><td>—</td><td>—</td><td>—</td><td>—</td><td>—</td></tr>"
continue
price = f"{d['price']:,.2f}"
rows += (
"<tr><td>" + name + "</td>"
"<td>" + price + "</td>"
"<td>" + _pct_cell(d["1d"]) + "</td>"
"<td>" + _pct_cell(d["1w"]) + "</td>"
"<td>" + _pct_cell(d["1m"]) + "</td>"
"<td>" + _pct_cell(d["ytd"]) + "</td>"
"</tr>"
)
_html.html(css + head + rows + "</tbody></table>", height=290, scrolling=False)
def _render_yield_curve(yields: dict) -> None:
labels = list(yields.keys())
rates = [yields[lbl]["rate"] if yields[lbl] else None for lbl in labels]
valid = [(lbl, r) for lbl, r in zip(labels, rates) if r is not None]
fig = go.Figure()
if valid:
xl, yl = zip(*valid)
fig.add_trace(go.Scatter(
x=list(xl),
y=list(yl),
mode="lines+markers",
line=dict(color="#C2AA7A", width=2),
marker=dict(size=7, color="#C2AA7A", line=dict(width=1, color="#8F7A50")),
hovertemplate="%{x}: %{y:.2f}%<extra></extra>",
))
fig.update_layout(
xaxis_title="Maturity",
yaxis=dict(tickformat=".2f", ticksuffix="%"),
height=240,
margin=dict(l=52, r=16, t=16, b=40),
)
st.plotly_chart(fig, use_container_width=True)
def _render_yield_table(yields: dict) -> None:
css = (
"<style>"
"* { margin:0; padding:0; box-sizing:border-box; }"
"body { background:#0B0E13; font-family:'IBM Plex Mono',monospace; overflow:hidden; }"
"table { width:100%; border-collapse:collapse; }"
"thead th { font-family:'IBM Plex Sans',sans-serif; font-size:10px; font-weight:600;"
" text-transform:uppercase; letter-spacing:0.14em; color:#5E5849;"
" padding:6px 10px; border-bottom:1px solid #232934; text-align:right; }"
"thead th:first-child { text-align:left; }"
"tbody tr { border-bottom:1px solid #181D26; }"
"tbody td { padding:8px 10px; font-size:13px; color:#C7C0AE; text-align:right;"
" font-variant-numeric:tabular-nums; }"
"tbody td:first-child { text-align:left; color:#F2ECDC; }"
".pos { color:#4F8C5E; } .neg { color:#B5494B; } .flat { color:#5E5849; }"
"</style>"
)
head = (
"<table><thead><tr>"
"<th>Maturity</th><th>Yield</th><th>1D Chg</th>"
"</tr></thead><tbody>"
)
rows = ""
for label, d in yields.items():
if d is None:
rows += "<tr><td>" + label + "</td><td>—</td><td>—</td></tr>"
continue
rate = f"{d['rate']:.2f}%"
chg = d["change_1d"]
sign = "+" if chg is not None and chg >= 0 else ""
chg_s = (sign + f"{chg:.2f}%") if chg is not None else "—"
cls = "pos" if (chg or 0) > 0.001 else ("neg" if (chg or 0) < -0.001 else "flat")
rows += (
"<tr><td>" + label + "</td>"
"<td>" + rate + "</td>"
"<td><span class='" + cls + "'>" + chg_s + "</span></td>"
"</tr>"
)
_html.html(css + head + rows + "</tbody></table>", height=240, scrolling=False)
def _render_sector_heatmap(sectors: dict) -> None:
css = (
"<style>"
"* { margin:0; padding:0; box-sizing:border-box; }"
"body { background:#0B0E13; font-family:'IBM Plex Sans',sans-serif; overflow:hidden; }"
".grid { display:grid; grid-template-columns:repeat(4,1fr); gap:4px; padding:2px; }"
".cell { padding:10px 12px; border-radius:2px; border:1px solid #232934; }"
".cell .name { font-size:11px; font-weight:600; color:#C7C0AE; letter-spacing:0.01em; }"
".cell .etf { font-family:'IBM Plex Mono',monospace; font-size:10px; color:#5E5849; margin-top:1px; }"
".cell .pct { font-family:'IBM Plex Mono',monospace; font-size:14px; font-weight:500; margin-top:5px;"
" font-variant-numeric:tabular-nums; }"
".pos { color:#4F8C5E; } .neg { color:#B5494B; } .flat { color:#5E5849; }"
"</style>"
"<div class='grid'>"
)
cells = ""
for name, d in sectors.items():
if d is None:
cells += (
"<div class='cell' style='background:#11151C'>"
"<div class='name'>" + name + "</div>"
"<div class='pct flat'>—</div>"
"</div>"
)
continue
pct = d["pct"]
bg = _sector_bg(pct)
sign = "+" if pct >= 0 else ""
cls = "pos" if pct > 0.005 else ("neg" if pct < -0.005 else "flat")
cells += (
"<div class='cell' style='background:" + bg + "'>"
"<div class='name'>" + name + "</div>"
"<div class='etf'>" + d["etf"] + "</div>"
"<div class='pct " + cls + "'>" + sign + f"{pct:.2f}%" + "</div>"
"</div>"
)
_html.html(css + cells + "</div>", height=340, scrolling=False)
# ── Public entry point ────────────────────────────────────────────────────────
def render_macro() -> None:
with st.spinner("Loading macro data…"):
data = _get_macro_data()
st.markdown(
"<h5 style='font-family:\"IBM Plex Sans\",sans-serif;font-size:10px;font-weight:600;"
"text-transform:uppercase;letter-spacing:0.14em;color:#5E5849;margin-bottom:8px;'>Index Performance</h5>",
unsafe_allow_html=True,
)
_render_index_table(data["indices"])
st.markdown("<div style='height:24px'></div>", unsafe_allow_html=True)
col1, col2 = st.columns([3, 2])
with col1:
st.markdown(
"<h5 style='font-family:\"IBM Plex Sans\",sans-serif;font-size:10px;font-weight:600;"
"text-transform:uppercase;letter-spacing:0.14em;color:#5E5849;margin-bottom:8px;'>Yield Curve</h5>",
unsafe_allow_html=True,
)
_render_yield_curve(data["yields"])
with col2:
st.markdown(
"<h5 style='font-family:\"IBM Plex Sans\",sans-serif;font-size:10px;font-weight:600;"
"text-transform:uppercase;letter-spacing:0.14em;color:#5E5849;margin-bottom:8px;'>Treasury Yields</h5>",
unsafe_allow_html=True,
)
_render_yield_table(data["yields"])
st.markdown("<div style='height:24px'></div>", unsafe_allow_html=True)
st.markdown(
"<h5 style='font-family:\"IBM Plex Sans\",sans-serif;font-size:10px;font-weight:600;"
"text-transform:uppercase;letter-spacing:0.14em;color:#5E5849;margin-bottom:8px;'>Sector Performance — Today</h5>",
unsafe_allow_html=True,
)
_render_sector_heatmap(data["sectors"])
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