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Utilizing advanced Bidirectional LSTM RNN technology, our project focuses on accurately predicting stock market trends. By analyzing historical data, our system learns intricate patterns to provide insightful forecasts. Investors gain a robust tool for informed decision-making in dynamic market conditions. With a streamlined interface, our solution

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bidirectional-lstm data data-science deep-learning deep-neural-networks dropout dropout-layers early-stopping forecasting machine-learning machine-learning-algorithms python python3 r2-score rnn stock-price-prediction

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Stock_Market_Prediction_And_Forecasting_Using_Bidirectional_LSTM_RNN

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To develop an innovative Stock Market Prediction and Forecasting system utilizing Bidirectional Long Short-Term Memory Recurrent Neural Networks (Bi-LSTM RNN), aimed at leveraging historical data to enhance predictive accuracy, enabling investors to make informed decisions in dynamic market conditions.

Dataset Information: Get data from tiingo api[https://www.tiingo.com/]

Stock Description

ACLS : Axcelis Technologies

Nasdaq : National Association of Securities Dealers Automated Quotations

The NASDAQ is a U.S.-based stock market exchange and the second-largest stock exchange by market cap globally.

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