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DASHBOARDS: Portfolio Hub Market Pulse Performance Compare Studio

JMUB

J.P. Morgan Municipal ETF
TREND FOLLOWING PERFORMANCE HISTORY
2026-09-09
Executive Summary
The quantitative backtest for JMUB (J.P. Morgan Municipal ETF) using the Moving Average (50/200)* strategy in a Investing context demonstrated its primary role in risk mitigation, experiencing a maximum drawdown of -7.6% (compared to the benchmark's drawdown of -12.1%). Over the evaluated period, this protective approach generated a Compound Annual Growth Rate (CAGR) of 1.2%, compared to a Buy-and-Hold benchmark return of 1.2%. The strategy executed 3 total trades.

* Moving Average (50/200): Classic Moving Average Crossover (e.g., 50-day crossing 200-day). The foundational basis of research-grade trend following.

🛡️ JMUB Drawdown Shield & Downside Protection

Why Drawdown Dictates Longevity →
Peak Drawdown Defense
-7.6% (vs -12.1% B&H)
+4.5% shallower drawdown
Drawdown Shield
4.5% Cut
Protected capital vs -12.1% B&H
Capital Sheltered from Risk
15.2% of Time
Earning Treasury yield during downturns
* Drawdown Shield demonstrates how systematic trend-following bounded historical drawdowns and protected principal capital compared to passive Buy & Hold.

📊 JMUB Quality Metrics & KPI Summary

Metric 1Y5YFull
StrategyB&HStrategyB&HStrategyB&H
Max Drawdown-2.93%-2.93%-7.24%-11.75%-7.57%-12.06%
Sharpe Ratio0.380.380.200.190.410.37
Sortino Ratio0.440.440.220.240.430.45
CAGR0.97%0.97%0.60%0.63%1.16%1.17%
% Time Invested100.0%100.0%82.2%100.0%84.8%100.0%
Trades / Year0.00.00.40.00.50.0

Cumulative Growth Performance

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Figure 1: Cumulative Trajectory Analysis. Logarithmic growth comparison of JMUB under the Moving Average (50/200) strategy (Investing) versus Buy & Hold. The strategy produced a 1.2% CAGR with a -7.6% Max Drawdown across 3 trade signals (compared to Buy & Hold's 1.2% CAGR and -12.1% Max Drawdown).

Return Distribution Analysis

Histogram of monthly return distribution for JMUB under Moving Average (50/200) strategy in Investing context, illustrating downside risk mitigation and return skewness.
Figure 2: Monthly Return Distribution Profile. Monthly return distribution for JMUB under Moving Average (50/200) (Investing). Visualizes return frequency, volatility clustering, and tail-risk truncation relative to standard buy-and-hold returns.
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Top 5 non-correlated asset sleeves evaluated on 1Y daily percentage returns (Pearson r). Compare them side-by-side in Compare Studio to analyze portfolio diversification.

Diversifier Asset Category 1Y Correlation (r) Action
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Trade History

This log shows every signal-driven transition. Completed trades reflect standard market cycles. An Open or Mark-to-Market exit denotes an active position (either in the primary asset or a cash/yield sleeve) valued at the current price for reporting purposes. Interest entries record yield accrued from cash or cash alternatives (like BIL) during out-of-market defensive periods.

Entry DateExit DateTypeAllocationEntry PriceExit PriceNet Return %Exit Reason
🔒 Active Positions & Recent Execution Signals Hidden
Trading on delayed data carries high execution risk. Current allocations, pending next-day rebalances, and active execution signals (last 60 days) require a Premium subscription.
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2025-04-24 2025-08-14 Interest (CASH) 100% $1.00 $1.01 1.32% Interest Income
2023-12-27 2025-04-24 Completed 100% $46.41 $46.81 0.82% Signal
2023-09-27 2023-12-27 Interest (CASH) 100% $1.00 $1.01 1.36% Interest Income
2022-05-31 2023-09-27 Completed 100% $43.79 $43.71 -0.24% Signal
2022-01-31 2022-05-31 Interest (CASH) 100% $1.00 $1.00 0.20% Interest Income
2020-10-30 2022-01-31 Completed 100% $45.52 $45.98 0.96% Signal
2020-10-28 2020-10-30 Interest (CASH) 100% $1.00 $1.00 0.00% Interest Income

Next Steps: Portfolio Integration & Comparative Analysis

Single-ticker trend following is designed to truncate tail risk inside a broader portfolio. View where JMUB ranks across 40+ tracked assets, evaluate correlation against non-correlated diversifiers, or model it inside a custom all-weather asset mix.

📊 View Full 40-Asset Backtest Matrix → 🛠️ Build Custom Portfolio with JMUB → ⚖️ Compare JMUB vs Non-Correlated Assets →