feat: Streamlit dashboard with sidebar, detail, portfolio, and main app

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-20 17:56:31 +09:00
parent 9cc8241e22
commit e16d944985
4 changed files with 370 additions and 0 deletions
--- a/dashboard/portfolio_view.py
+++ b/dashboard/portfolio_view.py
@@ -0,0 +1,70 @@
+import streamlit as st
+import plotly.graph_objects as go
+import pandas as pd
+
+def render_portfolio(portfolio_manager, current_prices: dict, db):
+    st.header("Portfolio Simulator")
+    pv = portfolio_manager.get_portfolio_value(current_prices)
+
+    cols = st.columns(5)
+    cols[0].metric("Initial Capital", f"${portfolio_manager.initial_capital:.2f}")
+    cols[1].metric("Current Value", f"${pv['total_value']:.2f}")
+    pnl_delta = f"{pv['pnl_pct']:+.1f}%"
+    cols[2].metric("Total P&L", f"${pv['total_pnl']:+.2f}", pnl_delta)
+    cols[3].metric("Win Rate", f"{pv['win_rate']:.0f}%")
+    cols[4].metric("Available Cash", f"${pv['cash']:.2f}")
+
+    st.divider()
+    col_left, col_right = st.columns([3, 2])
+
+    with col_left:
+        st.subheader("Current Holdings")
+        if portfolio_manager.positions:
+            rows = []
+            for sym, pos in portfolio_manager.positions.items():
+                price = current_prices.get(sym, pos["entry_price"])
+                value = pos["quantity"] * price
+                pnl = value - pos["invested_usd"]
+                pnl_pct = (pnl / pos["invested_usd"] * 100) if pos["invested_usd"] > 0 else 0
+                rows.append({
+                    "Coin": sym.replace("USDT", ""),
+                    "Invested": f"${pos['invested_usd']:.2f}",
+                    "Qty": f"{pos['quantity']:.6f}",
+                    "Entry": f"${pos['entry_price']:.4f}",
+                    "Current": f"${price:.4f}",
+                    "P&L": f"${pnl:+.2f} ({pnl_pct:+.1f}%)",
+                })
+            st.dataframe(pd.DataFrame(rows), use_container_width=True, hide_index=True)
+        else:
+            st.info("No open positions")
+
+    with col_right:
+        st.subheader("Allocation")
+        if portfolio_manager.positions:
+            labels = [s.replace("USDT", "") for s in portfolio_manager.positions]
+            values = [p["quantity"] * current_prices.get(s, p["entry_price"])
+                      for s, p in portfolio_manager.positions.items()]
+            labels.append("Cash")
+            values.append(pv["cash"])
+            fig = go.Figure(data=[go.Pie(labels=labels, values=values, hole=0.4)])
+            fig.update_layout(template="plotly_dark", height=300, margin=dict(t=20, b=20))
+            st.plotly_chart(fig, use_container_width=True)
+        else:
+            st.info("100% Cash")
+
+    st.divider()
+    st.subheader("Trade History")
+    if portfolio_manager.trades:
+        trade_rows = []
+        for t in reversed(portfolio_manager.trades[-20:]):
+            trade_rows.append({
+                "Time": t["timestamp"][:16],
+                "Coin": t["coin"].replace("USDT", ""),
+                "Side": t["side"],
+                "Price": f"${t['price']:.4f}",
+                "Amount": f"${t['amount_usd']:.2f}",
+                "Reason": t["reason"],
+            })
+        st.dataframe(pd.DataFrame(trade_rows), use_container_width=True, hide_index=True)
+    else:
+        st.info("No trades yet")