Skip to content

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

Notifications You must be signed in to change notification settings

vaibhavdangar09/Stock_Market_Prediction_And_Forecasting_Using_Bidirectional_LSTM_RNN

Repository files navigation

Stock_Market_Prediction_And_Forecasting_Using_Bidirectional_LSTM_RNN

image

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.

About

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

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published