Thesis Machine Learning
← Back to Cryptocurrency ← Back to Multi-Asset

Thesis Store of Value Selection

The Thesis Store of Value Selection models are designed to allocate between store-of-value assets using Thesis model signals. Two variants are shown: Core and Dynamic. Benchmarks shown are hypothetical rebalance schedules for a BTC/Gold mix.

Showing Weekly Values (24h delayed)

Key Stats: Core vs Quarterly Benchmark

Loading model data...

Key Stats: Dynamic vs Biweekly Benchmark

Loading model data...

Fact Sheet

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

Click Print / Save as PDF to generate the full fact sheet (description, chart, risk & return, and quarterly performance).

Trailing Returns

Series 1M YTD 3M 1Y 3Y Ann. Since Incep. Ann.
Core — — — — — —
Dynamic — — — — — —
Benchmark (Quarterly) — — — — — —
Benchmark (Biweekly) — — — — — —

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 Core Dynamic Benchmark (Quarterly) Benchmark (Biweekly)
Cumulative Return — — — —
CAGR — — — —
Annual Volatility — — — —
Sharpe Ratio — — — —
Max Drawdown — — — —

Quarterly Performance (Calendar Year)

Core vs Benchmark (Quarterly)
Year Q1 Q2 Q3 Q4 Model (CY) Benchmark (CY)
Dynamic vs Benchmark (Biweekly)
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

📄

Download Methodology PDF

Click below to request the detailed methodology documentation