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Performance Report: ETF Blend 200-35
26 Jun, 2015 - 4 Sep, 2026

Benchmark is SPY | Generated by QuantStats (v. 0.0.62)


2026-09-04T17:31:44.240847 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:44.384056 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:44.528687 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:44.702670 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:44.926151 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:45.058432 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:45.224954 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:45.370819 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:45.500500 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:45.733044 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:46.122993 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:46.247175 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:46.597385 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:47.059129 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/

Report generated on September 04, 2026 at 05:31 PM EDT.

Analysis based on daily close prices. Calculations are based on 365.25 days per calendar year. Regulatory fees as well as a slippage of 0.05% included. For explanation of metrics, please check the Key Performance Metrics Glossary.

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