Develop a Cryptocurrency Trading Signal App using LSTM Neural Networks in Matlab

Description:

I am looking for a skilled Matlab developer with expertise in machine learning and signal processing to build a cryptocurrency trading signal application. The core of this project will be to implement an LSTM (Long Short-Term Memory) neural network that utilizes techniques like Fourier transform among other signal processing methods to generate buy and sell signals based on historical cryptocurrency data.

Key Project Requirements:

- Data Handling: The application should be able to import and use cryptocurrency data from this Kaggle dataset: Binance Full History.
- Signal Processing: Integrate Fourier transform and other signal processing techniques to analyze the data.
- Model Implementation: Develop and train the LSTM neural network model to predict potential buy and sell points.
- User Interface: Design a user-friendly GUI that displays graphs, essential text-based information, and allows users to easily switch datasets.
- Development Environment: The entire application must be developed in Matlab.
- Project Timeline: You will have one month to complete this project from the date of commencement.

Deliverables:

- Complete source code of the application along with documentation.
- A functional GUI as described.
- A brief report explaining the methodologies implemented, model's performance, and user guide for the GUI.

Ideal Candidate:

- You should have proven experience with Matlab, specifically in building machine learning models and GUI development.
- Experience in signal processing and familiarity with financial datasets.
- Ability to work within the specified time frame and deliver a polished product.

If you are interested in this project, please send your proposal with a brief overview of how you plan to approach this project, your previous work similar to this task, and your estimated fee.