83 lines
2.3 KiB
Python
83 lines
2.3 KiB
Python
"""
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Performance analytics page for the Trading Agents Dashboard.
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This module displays performance metrics and visualization for different scanners,
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including win rates, average returns, and trading volume analysis.
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"""
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import pandas as pd
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import plotly.express as px
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import streamlit as st
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from tradingagents.ui.utils import load_strategy_metrics
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def render() -> None:
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"""
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Render the performance analytics page.
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Displays:
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- Page title
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- Warning if no statistics available
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- Scanner Performance heatmap with scatter plot showing:
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- Win Rate (x-axis) vs Avg Return (y-axis)
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- Bubble size = Trade count
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- Color = Win Rate (RdYlGn colorscale)
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- Quadrant lines at y=0 and x=50
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"""
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# Page title
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st.title("📊 Performance Analytics")
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# Load data
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strategy_metrics = load_strategy_metrics()
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# Check if data is available
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if not strategy_metrics:
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st.warning(
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"No strategy performance data available. Run performance tracking to generate data."
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)
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return
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# Strategy Performance section
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st.subheader("Strategy Performance")
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if strategy_metrics:
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df = pd.DataFrame(strategy_metrics)
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# Create scatter plot with plotly
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fig = px.scatter(
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df,
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x="Win Rate",
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y="Avg Return",
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size="Count",
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color="Win Rate",
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hover_name="Strategy",
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hover_data={
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"Win Rate": ":.1f",
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"Avg Return": ":.2f",
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"Count": True,
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"Strategy": False,
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},
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title="Strategy Performance Analysis",
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labels={
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"Win Rate": "Win Rate (%)",
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"Avg Return": "Avg Return (%)",
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},
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color_continuous_scale="RdYlGn",
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)
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# Add quadrant lines at y=0 (breakeven) and x=50 (50% win rate)
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fig.add_hline(y=0, line_dash="dash", line_color="gray", opacity=0.5)
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fig.add_vline(x=50, line_dash="dash", line_color="gray", opacity=0.5)
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# Update layout for better visibility
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fig.update_layout(
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height=500,
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showlegend=True,
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hovermode="closest",
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)
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st.plotly_chart(fig, use_container_width=True)
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else:
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st.info("No strategy data available for visualization.")
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