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  2. 14 Day Trading Strategies for Beginners - AOL

    www.aol.com/10-best-day-trading-strategies...

    1. Momentum Trading. With a momentum strategy, an investor jumps on a stock whose price is moving up or down. The idea is to get in and out before the stock price hits the top or bottom. Momentum ...

  3. How To Day Trade: Your Guide - AOL

    www.aol.com/day-trade-guide-191346040.html

    Here are some of the most popular and well-known methods to day trade stocks: Momentum Trading: Momentum traders simply buy stocks that are already moving up or sell stocks that are on the way ...

  4. Day trading - Wikipedia

    en.wikipedia.org/wiki/Day_trading

    Day trading is a strategy of buying and selling securities within the same trading day. According to FINRA, a "day trade" involves the purchase and sale (or sale and purchase) of the same security on the same day in a margin account, covering a range of securities including options. An individual is considered a "pattern day trader" if they ...

  5. 5 options trading strategies for beginners - AOL

    www.aol.com/finance/5-options-trading-strategies...

    Example: Stock X is trading for $20 per share, and a put with a strike price of $20 and expiration in four months is trading at $1. The contract pays a premium of $100, or one contract * $1 * 100 ...

  6. 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 ...

  7. High-frequency trading - Wikipedia

    en.wikipedia.org/wiki/High-frequency_trading

    High-frequency trading strategies may use properties derived from market data feeds to identify orders that are posted at sub-optimal prices. Such orders may offer a profit to their counterparties that high-frequency traders can try to obtain. Examples of these features include the age of an order [54] or the sizes of displayed orders. [55]

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