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Stock Advisor
Introduction to The Motley Fool's investing philosophy, backed by monthly stock recommendations, our top ETFs, and core financial planning guidance.
Overview
20+ years of a market-beating track record that consistently recommends 2 stocks each month, plus broad allocation guidance via stock and fixed income ETFs.
Suggested Portfolio Size
$25,000+
Key Features
- Monthly stock picks: 2
- Recommendations of companies you can buy and hold for the long term
- Monthly rankings in Stock Advisor
- Three entry strategies across Cautious, Moderate, and Aggressive styles
- GamePlan financial hub and financial planning articles
Epic
The home plate for individual investors, backed by additional stock recommendations, quant analytics, and a toolkit to supercharge your investing journey.
Overview
Intentional mix of growth, dividend, and under-the-radar stocks, as well as proprietary tools offering deeper analytics, research, and insights into constructing an optimized portfolio.
Suggested Portfolio Size
$50,000+
Key Features
- Monthly Stock Picks: 5
- Includes everything in Stock Advisor, plus these additional features and benefits
- Monthly recommendations and rankings from Rule Breakers, Hidden Gems, and Dividend Investor
- Portfolio Strategies: Cautious, Moderate, and Aggressive with specific stock allocation
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- GamePlan+ financial hub and financial planning articles
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- More articles and earnings coverage on an expanded universe of stocks
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Founded in 1993 by brothers Tom and David Gardner, The Motley Fool helps millions of people attain financial freedom through our website, podcasts, books, newspaper column, radio show, and premium investing services. We believe that investing is empowering, enriching, and fun. We look forward to joining you on your journey to financial independence. Learn More
The Motley Fool Investing Philosophy
Learn How We Invest-
#1 Buy 25+ Companies Over Time
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#2 Hold Stocks for 5+ Years
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#3 Add New Savings Regularly
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#4 Hold Through Market Volatility
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#5 Let Your Winners Run
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#6 Target Long-Term Returns
