victor369basu/Real-time-stock-market-prediction
In this repository, I have developed the entire server-side principal architecture for real-time stock market prediction with Machine Learning. I have used Tensorflow.js for constructing ml model architecture, and Kafka for real-time data streaming and pipelining.
This project provides the core server framework for predicting stock market movements in real-time using machine learning. It takes continuous streams of stock market data as input and outputs real-time predictions, while also training and updating its models continuously. This is designed for quantitative analysts or financial developers who need to integrate real-time predictive capabilities into trading systems or financial applications.
648 stars. No commits in the last 6 months.
Use this if you are building a server-side system that needs to ingest live stock market data, continuously train a machine learning model, and generate real-time price predictions.
Not ideal if you are looking for a complete, out-of-the-box application with a user interface, or if your primary need is historical data analysis rather than real-time prediction.
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648
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122
Language
JavaScript
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Last pushed
Feb 03, 2021
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