You can export your portfolio/securities data to CSV from the website; many users export positions and YTD sales to share with a CPA or to store a year-end snapshot alongside the tax estimates shown in the Taxes page.
PortfolioPilot is used by over 40,000 individuals in the US & Canada to analyze their portfolios of over $30 billion1. Discover your portfolio score now:
Global Predictions provides investment advice only through its internet-based application, PortfolioPilot, and only to individuals who are advisory clients of Global Predictions pursuant to written advisory Client Agreements ("Advisory Services"). The publicly available portions of the Platform (i.e., the sections of the Platform that are available to individuals who are not party to a Client Agreement - including globalpredictions.com and portions of portfoliopilot.com) are provided for educational purposes only and are not intended to provide legal, tax, or financial planning advice. To the extent that any of the content published on publicly available portions of the Platform may be deemed to be investment advice, such information is impersonal and not tailored to the investment needs of any specific person. Nothing on the publicly available portions of the Platform should be construed as a solicitation or offer, or recommendation, to buy or sell any security. All charts, figures, and graphs on the publicly available websites are for illustrative purposes only. Before investing, you should consider whether any investment, investment strategy, security, other asset, or related transaction is appropriate for you based on your personal investment objectives, financial circumstances, and risk tolerance. You are also encouraged to consult your legal, tax, or investment professional regarding your specific situation. Registration does not imply a certain level of skill or training. Investing involves risk. The value of your investment will fluctuate, and you may gain or lose money.
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Note: our use of the term AI refers to all artificial intelligence models used including large language models, proprietary economic models that incorporate regression or dynamic factors, and machine learning methods like supervised learning.
