Thesis Machine Learning
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Thesis Magnificent Seven Rotation

A systematic rotation model designed to capture relative performance among the "Magnificent 7" technology stocks. Benchmark: Magnificent Seven Equal Weighted.

Showing Weekly Values (24h delayed)

Key Stats: Model vs Benchmark

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Fact Sheet

Data as of — • Weekly values (24h delayed)

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Trailing Returns

Series 1M YTD 3M 1Y 3Y Ann. Since Incep. Ann.
Model — — — — — —
Benchmark — — — — — —

Returns are calculated from weekly levels (24h delayed). Period endpoints use the closest available date on or before the target date.

Risk & Return (Since Inception)

Metric Model Benchmark
Cumulative Return — —
CAGR — —
Annual Volatility — —
Sharpe Ratio — —
Max Drawdown — —

Quarterly Performance (Calendar Year)

Model vs Benchmark
Year Q1 Q2 Q3 Q4 Model (CY) Benchmark (CY)

Disclosures

  • This material is provided for informational purposes only and does not constitute investment advice or an offer to buy or sell any security.
  • Model results may include hypothetical or backtested performance. Hypothetical performance has limitations and does not represent actual trading.
  • Performance shown does not reflect transaction costs, advisory fees, or taxes. Actual results may differ materially.
  • Past performance is not indicative of future results. Investing involves risk, including the possible loss of principal.
  • Benchmarks and indexes are unmanaged and cannot be invested in directly.

Methodology

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