labrijisaad/Prediction-du-cours-de-Bourse
Forecast Apple stock prices using Python, machine learning, and time series analysis. Compare performance of four models for comprehensive analysis and prediction.
This project helps financial analysts and traders predict future stock prices, specifically for Apple (AAPL), using historical pricing data. It takes raw historical stock price data as input, processes it to identify trends and patterns, and then generates predictions using four different machine learning models. The output provides a comparative analysis of these models' performance to help inform investment decisions.
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Use this if you are a financial analyst or trader looking for a method to forecast stock prices using historical data and compare multiple predictive models.
Not ideal if you need real-time trading signals, predictions for a wide variety of stocks, or a fully automated trading system.
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Last pushed
Dec 20, 2022
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