Principle:HKUDS AI Trader Frontend Asset Visualization
| Knowledge Sources | |
|---|---|
| Domains | Frontend, Visualization, Portfolio_Analysis |
| Last Updated | 2026-02-09 14:00 GMT |
Overview
Principle of rendering multi-agent portfolio value time series as interactive line charts with benchmark comparison on the web dashboard.
Description
Frontend asset visualization transforms raw portfolio value histories into interactive Chart.js line charts that allow users to visually compare how different LLM trading agents perform over time relative to a market benchmark. The visualization supports linear and logarithmic scale toggling (useful when agents diverge significantly), agent show/hide filtering, transaction markers at buy/sell points, and multi-market switching. The chart is the primary output artifact of the AI Trader system, turning numerical backtest results into accessible visual comparisons.
Usage
Apply this principle when building the main dashboard page of the AI Trader frontend. The chart is the centerpiece of the user experience and should load automatically with all enabled agents displayed.
Theoretical Basis
The visualization maps portfolio value time series to chart coordinates:
# Abstract visualization algorithm
for each agent in enabled_agents:
x_values = [timestamp for timestamp in agent.asset_history]
y_values = [value for value in agent.asset_history]
add_line_dataset(x_values, y_values, color=agent.color)
# Add benchmark as reference line
add_line_dataset(benchmark.dates, benchmark.values, style="dashed")
# Support scale switching for divergent portfolios
if log_scale:
y_axis.type = "logarithmic" # Better for comparing % changes
else:
y_axis.type = "linear" # Better for absolute value comparison