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  2. Investing 101 for beginners [Video] - AOL

    www.aol.com/finance/investing-101-beginners...

    It is important to invest in a few different types of stocks. So if you're enlisting the services of an advisor, they will most likely do this for you. It helps your portfolio grow and minimizes risk.

  3. The Best Investments for Beginners This December - AOL

    www.aol.com/finance/investing-beginners-7-best...

    All Treasury securities are backed by the full faith and credit of the U.S. government, making them among the safest investments in the world. 3. Mutual Funds. With mutual funds, many investors ...

  4. Investing 101 for beginners [Video] - AOL

    www.aol.com/investing-101-beginners-220000537.html

    This episode of Getting Rich, in partnership with Bankrate, gives you easy tips and resources to get you investing today Investing 101 for beginners [Video] Skip to main content

  5. Do-it-yourself investing - Wikipedia

    en.wikipedia.org/wiki/Do-it-yourself_investing

    Do-it-yourself investing. Do-it-yourself (DIY) investing, self-directed investing or self-managed investing is an investment approach where the investor chooses to build and manage their own investment portfolio instead of hiring an agent, such as a stockbroker, investment adviser, private banker, or financial planner.

  6. Value investing - Wikipedia

    en.wikipedia.org/wiki/Value_investing

    Value investing is an investment paradigm that involves buying securities that appear underpriced by some form of fundamental analysis. [1] All forms of value investing derive from the investment philosophy taught by Benjamin Graham and David Dodd at Columbia Business School in 1928 and subsequently developed in their 1934 text Security Analysis .

  7. Algorithmic trading - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_trading

    Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume. [1] This type of trading attempts to leverage the speed and computational resources of computers relative to human traders. In the twenty-first century, algorithmic trading has been ...

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