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Dashboard with the latest stock market data, charts, and predictions made through machine learning using LSTM model.

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ForexTradingApp

The application presents the latest data, charts, and predictions for popular or user-selected companies or currencies. Data is displayed on an HTML page created using Bootstrap and retrieved from Yfinance. Charts are created using the Matplotlib library. The page also offers a separate section for predictions based on a trained LSTM model.

Most popular tickers' data

Screenshot 2024-02-01 164204

Charts for selected company or currency

Screenshot 2024-02-01 164141

LSTM model predictions

2024-02-01 164259

Installation

Clone the Repository:

git clone https://github.com/Nemezjusz/ForexPredictionDashboard.git
cd your-repo

Install Dependencies:

pip install Flask yfinance matplotlib torch

Run the Application:

flask run

The application will be accessible at http://127.0.0.1:5000/ in your web browser.

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Dashboard with the latest stock market data, charts, and predictions made through machine learning using LSTM model.

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  • Python 53.9%
  • HTML 46.1%