#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
#MASK/USDT analysis :
#MASK is currently in an uptrend, characterized by higher highs (HHs) and higher lows (HLs), and is trading above the 200-period exponential moving average (EMA).
The price is presently consolidating above a key support zone, and it is anticipated that it will bounce back from this level, continuing its upward trajectory and potentially testing previous highs.
TF : 4H
Entry : $2.877
Target : $3.300
SL : $2.610
#MASK/USDT analysis :
#MASK is in an uptrend. After breaking above the 200 EMA, the price is now sustaining above it. The price is currently consolidating over the support zone and is expected to bounce back from the current level, testing higher levels. Wait for a pullback before entering a long position.
TF : 4h
Entry : $2.265
Target : $2.531
SL : $2.129