Shypd.aiThe largest open index of AI toolsReal-time-stock-market-prediction is an open-source project providing server-side architecture for real-time stock market prediction using machine learning. It utilizes TensorFlow.js for model construction and Kafka for real-time data streaming and pipelining.
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Real-time-stock-market-prediction is an open-source project that offers a complete server-side architecture for real-time stock market prediction using Machine Learning. It leverages TensorFlow.js for building the ML model architecture and Kafka for efficient real-time data streaming and pipelining. The system integrates MongoDB for updating databases with incoming stock market logs, enabling analysis and model training, and storing model performance. Developed entirely with Node.js, this architecture supports parallel processing for real-time analysis, ML model training, and prediction, making it suitable for those interested in applying machine learning to financial market analysis and developing robust predictive models.
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