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gru-model

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Conducted research in the fusion of machine learning models to improve stock market index prediction accuracy. Evaluated individual models (LSTM, RF, LR, GRU) and compared their performance to fusion prediction models (RF-LSTM, RF-LR, RF-GRU).

  • Updated Jun 2, 2024
  • Python

A machine learning system that predicts forex price movements using an ensemble of AI models and provides a Metatrader 5 Expert Advisor the data it needs to make trades. This system is designed to use the 1 hour prediction on the EURUSD for fast trades. It is very accurate and will close any trade it opens in 1 hour. Making this system an elite sc

  • Updated Feb 21, 2026
  • HTML

This project integrates stock market analysis, tweet sentiment analysis, and stock price forecasting using ARIMA and GRU. It fetches data from MySQL, MongoDB, and streams via Kafka. YCSB benchmarks MySQL and MongoDB performance. The system predicts stock prices and analyzes public sentiment.

  • Updated Apr 23, 2025
  • Jupyter Notebook

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