Harness the power of linear regression and 50-day moving average (50DMA) data to predict stock prices with remarkable accuracy. ๐โจ
This repository provides a simple yet effective stock price prediction tool, empowering you to make informed investment decisions. ๐ฏ
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Gather Stock Data: Collect comprehensive stock data encompassing open, high, low, close, volume, 50DMA, and 200DMA values. ๐
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Train the Predictive Model: Utilize our provided code to train a linear regression model, employing 50DMA as the independent variable and closing price as the dependent variable. ๐ฉโ๐ซ๐จโ๐ซ
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Generate Predictions: Feed new 50DMA values into the trained model to obtain corresponding closing price predictions. ๐ฎ
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Visualize Insights: Uncover the relationship between 50DMA values and predicted closing prices using an insightful line plot. ๐
We invite passionate developers and data enthusiasts to join us in enhancing this project's capabilities and expanding its applicability. ๐ค
Feel free to create pull requests with your improvements, suggestions, and innovative ideas. Together, we can revolutionize the future of stock prediction. ๐
This project is licensed under the MIT License, fostering open collaboration and innovation.