Disclaimer & Editorial Policy
Not financial advice
Portfolio Lab is an educational and analytical platform. Nothing on this website constitutes financial advice, investment advice, tax advice, or any other form of professional advice. The tools, articles, and data presented are for informational and educational purposes only.
You should consult a qualified financial advisor before making any investment decisions. Portfolio Lab does not know your financial situation, risk tolerance, investment objectives, or tax circumstances. Any decisions you make based on information from this site are your sole responsibility.
No guarantee of returns
Forward-looking capital market assumptions, including those from J.P. Morgan and other research providers used on this platform, are estimates based on current economic conditions, valuations, and models. They are not predictions and do not guarantee future results.
Past performance, whether shown through backtesting or historical data, does not guarantee future performance. Markets are inherently unpredictable, and any portfolio can lose value.
Data sources and accuracy
Portfolio Lab uses data from the following sources:
- Expected returns and risk: J.P. Morgan Asset Management 2026 Long-Term Capital Market Assumptions (30th edition)
- Historical prices: Yahoo Finance, Tiingo, FRED (Federal Reserve Economic Data)
- Crypto data: CoinGecko API
- Bitcoin assumptions: Portfolio Lab estimates informed by institutional research (documented in the methodology)
- CAPE valuations: Robert Shiller data, Barclays Equity Gilt Study
While we make every effort to ensure accuracy, data may contain errors, delays, or omissions. Market data is not real-time and should not be relied upon for trading decisions.
Model limitations
All models are simplifications of reality. Portfolio Lab's optimization, simulation, and backtesting tools have inherent limitations:
- Optimization results are sensitive to input assumptions
- Correlations between assets are not stable over time
- Monte Carlo simulations model probability, not certainty
- Backtesting reflects past conditions that may not repeat
- No tax, transaction cost, or liquidity modelling beyond basic fee deductions
- Bitcoin assumptions involve higher estimation uncertainty than traditional assets
For full technical details on assumptions and limitations, see the methodology page.
Editorial standards
All research and analysis on Portfolio Lab is written by Glenn Cameron, CFA, with 25+ years of experience in institutional portfolio management and investment consulting. Content is not sponsored, and Portfolio Lab does not accept payment for coverage of any product, service, or asset class.
Data sources are cited explicitly. Where estimates or assumptions are used (such as Bitcoin expected returns), the reasoning, methodology, and limitations are documented. When content is updated, the “Updated” date in the article header is revised.
Independence
Portfolio Lab is an independent project. It is not affiliated with, endorsed by, or sponsored by J.P. Morgan Asset Management, BlackRock, Research Affiliates, AQR, GMO, or any other data provider referenced on this site. Use of their publicly available data is for educational and analytical purposes.
Privacy
All portfolio calculations run entirely in your browser. No portfolio data, asset allocations, or simulation results are transmitted to any server. Your financial information stays on your device.
Portfolio Lab uses Vercel Analytics for basic, privacy-friendly website usage metrics (page views, not personal data). Email addresses provided for account creation or newsletter signup are stored securely and never shared with third parties.
Third-party trademarks
Product and company names mentioned on this site (including J.P. Morgan, BlackRock, Research Affiliates, Portfolio Visualizer, and others) are trademarks of their respective owners. Their mention does not imply endorsement or affiliation.
Contact
For questions about this policy or the platform, connect via LinkedIn.