#jupyter_notebook#jax
Flax is a library for creating neural networks with JAX. It offers a flexible way to build and analyze these networks. The new Flax NNX API makes it easier to work with neural networks by using regular Python objects, which helps in creating, debugging, and analyzing models more efficiently. This means users can express their models in a more intuitive way, making it simpler to develop and modify neural networks. Flax also provides many tools and examples to help users get started quickly.
https://github.com/google/flax
#FUN/USDT analysis :
#FUN has established a breakout from its trendline after rebounding from the support zone. The price is anticipated to continue rising from its current level and is likely to test the previous swing high.
TF : 4H
Entry : $0.003263
Target : $0.003644
SL : $0.003008
#FUN/USDT analysis :
#FUN is currently consolidating within a resistance zone near the 200 EMA. A price rejection is expected from there, and a continuation of the downtrend is anticipated. Wait for the price to break below the trendline for a short entry.
TF : 2H
Entry : $0.00314
Target : $0.00287
SL : $0.00326