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  2. Stock market prediction - Wikipedia

    en.wikipedia.org/wiki/Stock_market_prediction

    Stock market prediction is the act of trying to determine the future value of a company stock or other financial instrument traded on an exchange.The successful prediction of a stock's future price could yield significant profit.

  3. Will Tesla Stock Go Up? See Stock Forecasts for 2023 ... - AOL

    www.aol.com/tesla-stock-forecast-where-stock...

    The average price target is $215.52, which means that the average Tesla stock forecast calls for shares to reach $215.52 by Oct. 27, 2024. What Will Tesla’s Stock Price Be in 2025?

  4. Financial forecast - Wikipedia

    en.wikipedia.org/wiki/Financial_forecast

    In general, this literature shows that analysts do not produce better forecasts than simple forecasting models. [3] [4] (Additional to the above outline, for financial forecasts, analysts often also use specific financial historical information, such as the 52-week high of stock prices, to augment their analysis of stock prices. [5])

  5. Prediction market - Wikipedia

    en.wikipedia.org/wiki/Prediction_market

    The market prices can indicate what the crowd thinks the probability of the event is. A typical prediction market contract is set up to trade between 0 and 100%. The most common form of a prediction market is a binary option market, which will expire at the price of 0 or 100%.

  6. Economic forecasting - Wikipedia

    en.wikipedia.org/wiki/Economic_forecasting

    Economic forecasting is the process of making predictions about the economy. Forecasts can be carried out at a high level of aggregation—for example for GDP, inflation, unemployment or the fiscal deficit—or at a more disaggregated level, for specific sectors of the economy or even specific firms.

  7. Electricity price forecasting - Wikipedia

    en.wikipedia.org/wiki/Electricity_price_forecasting

    Electricity price forecasting (EPF) is a branch of energy forecasting which focuses on using mathematical, statistical and machine learning models to predict electricity prices in the future. Over the last 30 years electricity price forecasts have become a fundamental input to energy companies’ decision-making mechanisms at the corporate ...

  8. Energy forecasting - Wikipedia

    en.wikipedia.org/wiki/Energy_forecasting

    While there have been a variety of empirical studies on point forecasts (i.e., the "best guess" or expected value of the spot price), probabilistic - i.e., interval and density - forecasts have not been investigated extensively to date. [6] [11] However, this is changing and nowadays both researchers and practitioners are focusing on the latter ...