About the project

The Bitcoin Long Forecast project was founded in 2022 in Kyiv, Ukraine.

The author of the project is the developer Nikolay Kpi. Facebook profile: https://www.facebook.com/profile.php?id=100004119961885.

How it works

The basis of mathematical calculations of our project is the Long Short-Term Memory Recurrent Neural Network. Thanks to the effective use of the LSTM model, which is based on historical data, it is possible to build approximate forecasts of cryptocurrency prices for the future, even for several years ahead. In many cases, these predictions come true, but this does not always happen. It is important to understand that wars, revolutions, the economic crisis, government regulation and other hard-to-predict global factors can significantly affect the rates of currencies, cryptocurrencies and stocks. None of the existing mathematical models can yet predict the future. For this reason, we cannot guarantee that our predictions will come true. Moreover, our forecasts are regularly reviewed and revised.

Objective of the project

The Bitcoin Long Forecast Project is a research website that aims to test whether cryptocurrencies can be predicted using mathematics and ever-improving technology.

Project technology stack

The bulk of the project is written in Python using TensorFlow 2 and Keras. The results obtained are easily converted into a site database and displayed to visitors in a convenient form.

Links

  • https://www.python.org/
  • https://www.tensorflow.org/
  • https://www.tensorflow.org/api_docs/python/tf/keras/Model
  • https://en.wikipedia.org/wiki/Long_short-term_memory