#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
#OP/USDT analysis :
#OP is currently forming a continuation pattern within a downtrend. The price has broken previous lows, and it is anticipated that it will continue its bearish momentum. It is advisable to wait for a pullback to the identified zone for a short entry, as the previous swing low is expected to be tested.
TF : 1D
Entry : $1.493
Target : $1.076
SL : $1.773
#OP/USDT analysis :
#OP has broken out above the 200 EMA and the previous resistance zone with strong bullish momentum. It is now retesting the breakout zone. The price is expected to continue its bullish bias and test previous highs. Wait for a break of the $1.517 level to go long.
TF : 2H
Entry : $1.517
Target : $1.643
SL : $1.444