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Financial modeling (valuation) of Russian companies using neural network: TensorFlow, PyTorch and Keras.

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Financial modeling to forecast capitaliztion of Russian companies

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Financial modeling (valuation) of Russian companies using neural network: TensorFlow, PyTorch, and Keras. This project is focused on the analysis of Russian equities but can be applied to other markets. The project is for value investors who want to apply neural networks to forecast capitalization of the companies. Data is gathered using open sources. There are three models of financial valuation of the companies made using TensorFlow, PyTorch, and Keras.


Features

  • Russian Accounting Standards format support
  • Fully compatible with value investing approach

Setup

Clone this repo:

git clone https://github.com/andreiliphd/financial-modeling-ras-neural-network.git

Install all the dependencies.


Usage

Please provide accounting information.


License

You can check out the full license in the LICENSE file.

This project is licensed under the terms of the MIT license.

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Financial modeling (valuation) of Russian companies using neural network: TensorFlow, PyTorch and Keras.

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