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  2. Stock market prediction - Wikipedia

    en.wikipedia.org/wiki/Stock_market_prediction

    The successful prediction of a stock's future price could yield significant profit. The efficient market hypothesis suggests that stock prices reflect all currently available information and any price changes that are not based on newly revealed information thus are inherently unpredictable. Others disagree and those with this viewpoint possess ...

  3. Automated trading system - Wikipedia

    en.wikipedia.org/wiki/Automated_trading_system

    The automated trading system determines whether an order should be submitted based on, for example, the current market price of an option and theoretical buy and sell prices. [7] The theoretical buy and sell prices are derived from, among other things, the current market price of the security underlying the option.

  4. 2 Artificial Intelligence (AI) Stocks That Could Help Make ...

    www.aol.com/2-artificial-intelligence-ai-stocks...

    The Stock Advisor service has more than quadrupled the return of S&P 500 since 2002*. Learn more » *Stock Advisor returns as of January 27, 2025. Ryan Vanzo has no position in any of the stocks ...

  5. Hidden AI stocks set to rally amid DeepSeek's breakthrough ...

    www.aol.com/finance/hidden-ai-stocks-set-rally...

    The Roundhill Magnificent Seven ETF fell 2.4% over the last five trading days, led by Alphabet's (GOOG, GOOGL) 9.2% drop and Amazon’s 3.6% decline. And it’s just the latest headwind for the group.

  6. Random walk hypothesis - Wikipedia

    en.wikipedia.org/wiki/Random_walk_hypothesis

    With this knowledge, investors can have an edge in predicting what stocks to pull out of the market and which stocks — the stocks with the upward revision — to leave in. Martin Weber’s studies detract from the random walk hypothesis, because according to Weber, there are trends and other tips to predicting the stock market.

  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.

  8. Forget polls, the stock market is the most accurate predictor ...

    www.aol.com/finance/forget-polls-stock-market...

    Lynch and Anderson noted that while a strong stock market performance for the full year before an election has also been heavily correlated with success for the incumbent party, it hasn’t always ...

  9. Market anomaly - Wikipedia

    en.wikipedia.org/wiki/Market_anomaly

    A market anomaly in a financial market is predictability that seems to be inconsistent with (typically risk-based) theories of asset prices. [1] Standard theories include the capital asset pricing model and the Fama-French Three Factor Model, but a lack of agreement among academics about the proper theory leads many to refer to anomalies without a reference to a benchmark theory (Daniel and ...