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  2. Market data - Wikipedia

    en.wikipedia.org/wiki/Market_data

    Market price data is not only used in real-time to make on-the-spot decisions about buying or selling, but historical market data can also be used to project pricing trends and to calculate market risk on portfolios of investments that may be held by an individual or an institutional investor.

  3. Open-high-low-close chart - Wikipedia

    en.wikipedia.org/wiki/Open-high-low-close_chart

    An open-high-low-close chart (OHLC) is a type of chart typically used in technical analysis to illustrate movements in the price of a financial instrument over time. Each vertical line on the chart shows the price range (the highest and lowest prices) over one unit of time, e.g., one day or one hour.

  4. Stock market - Wikipedia

    en.wikipedia.org/wiki/Stock_market

    Stock exchanges may also cover other types of securities, such as fixed-interest securities (bonds) or (less frequently) derivatives, which are more likely to be traded OTC. Trade in stock markets means the transfer (in exchange for money) of a stock or security from a seller to a buyer. This requires these two parties to agree on a price.

  5. Get breaking Business News and the latest corporate happenings from AOL. From analysts' forecasts to crude oil updates to everything impacting the stock market, it can all be found here.

  6. Flag and pennant patterns - Wikipedia

    en.wikipedia.org/wiki/Flag_and_pennant_patterns

    The flag and pennant patterns are commonly found patterns in the price charts of financially traded assets (stocks, bonds, futures, etc.). [1] The patterns are characterized by a clear direction of the price trend, followed by a consolidation and rangebound movement, which is then followed by a resumption of the trend. [2]

  7. 2 High-Yield Energy Stocks to Buy With $1,000 and Hold Forever

    www.aol.com/finance/2-high-yield-energy-stocks...

    If you’re worried you’ve already missed your chance to invest, now is the best time to buy before it’s too late. And the numbers speak for themselves: Nvidia: if you invested $1,000 when we ...