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Developing a stock prediction system using artificial intelligence entails integrating AI algorithms and machine learning models to analyze historical stock market data, identify patterns, and make forecasts on future stock prices.. The first step in building such a system involves collecting and preparing a large dataset of historical stock market data, including price movements, trading Building a stock prediction system using AI involves collecting historical stock data, cleaning and pre-processing the data, selecting a suitable machine learning model, training the model on the data, and then using it to make predictions on future stock prices. It is important to choose the right features and design a robust model that can accurately predict stock trends.
