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quantra-go-algo/step_9_results_and_performance_metrics_1.py

Last active June 24, 2026 01:45
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guardrailed-llm-agent — Step 9: Results and Performance Metrics (snippet 1)
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step_9_results_and_performance_metrics_1.py
mt = metrics_table({
'Agent-only': eq_agent_oos,
'Agent + Guardrails': eq_guard_oos,
'Buy & Hold AAPL': eq_bh_oos,
})
# Expected output (approximate: depends on your LLM's policy calls):
#
# Sharpe CAGR Ann.Vol MaxDD
# Agent-only 1.066 19.83% 18.60% -23.58%
# Agent + Guardrails 1.040 17.13% 16.52% -18.94%
# Buy & Hold AAPL 1.139 29.30% 25.39% -33.36%
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