Technology and Technology Innovation
Pictet-Robotics-P
Last updated: 2026-09-03
The Verdict
Pictet-Robotics-P charges an expense ratio of 1.98%. On a $100,000 portfolio, that's $1,976 per year in fees, and it scales with the amount invested. Supreme.PM's decoded model tracked it at 61% correlation over the measured period — partial, not close, tracking, for a flat monthly subscription that does not change with portfolio size.
Expense Ratio
1.98%
Star Rating
3/ 5
Market Beta
0.98
Model Correlation
61%
Sharpe Ratio
0.61
Max Drawdown
42.82%
Supreme.PM Cost
Flat monthly subscription
Not a percentage of your assets
Performance
Performance comparison — 1Y: Fund 40.4% vs Model 45.7%; 3Y: Fund 103.1% vs Model 112.1%; 5Y: Fund 85.9% vs Model 101.6%.
Alpha After Fees
Supreme.PM's model shows 61% correlation with Pictet-Robotics-P over the measured period — meaningful but partial tracking, not equivalent exposure.
Fee Analysis
Pictet-Robotics-P charges 1.98% of assets annually. Supreme.PM charges a flat monthly subscription instead, so its cost does not rise as a portfolio grows.
Data sources: Refinitiv Lipper, SEC EDGAR Filings, Supreme.PM Analytics
Past performance does not guarantee future results. Model returns are backtested and may not reflect actual trading conditions.
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Frequently Asked Questions
What is the expense ratio of Pictet-Robotics-P?
Pictet-Robotics-P has an expense ratio of 1.98%, charged as a percentage of the amount invested. Supreme.PM's decoded model is offered for a flat monthly subscription instead.
How does Supreme.PM replicate Pictet-Robotics-P?
Supreme.PM builds a transparent, rules-based model of listed securities designed to track this fund's return profile. Over the measured period it tracked the fund partially, at 61% correlation. The model is published in full, so its positions are visible rather than disclosed with a delay.
What are the risks of fund replication?
While our models aim for high correlation, they may not perfectly match the fund's returns due to timing differences in rebalancing, transaction costs, and disclosure delays. Backtested results may not reflect future performance.
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