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Performance Report: ETF Blend 100-20
10 Sep, 2014 - 4 Sep, 2026

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


2026-09-04T17:31:26.093821 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:26.243053 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:26.394663 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:26.575091 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:26.792521 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:26.918776 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:27.091608 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:27.244790 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:27.372532 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:27.612669 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:27.983968 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:28.103570 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:28.465260 image/svg+xml Matplotlib v3.10.9, https://matplotlib.org/
2026-09-04T17:31:28.947027 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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