#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
#CHR/USDT analysis :
#CHR is currently retracing towards a previously tested support zone. The price is expected to bounce from this level and resume its bullish momentum, aiming to test previous highs. For a long entry, it is advisable to wait for a breakout above the $0.2750 level.
TF : 4H
Entry : $0.2750
Target : $0.3440
SL : $0.2370
#CHR/USDT analysis :
#CHR has broken and retested the support zone, which is now acting as resistance for the price. The price is anticipated to continue its bearish momentum and test lower levels.
TF : 2H
Entry : $0.1780
Target : $0.1701
SL : $0.1838
#CHR/USDT analysis :
#CHR is currently consolidating above the support zone and the 200 EMA. The price is expected to sustain its bullish momentum and establish new highs. It is advisable to await a pullback for a long entry.
TF : 1H
Entry : $0.1862
Target : $0.2163
SL : $0.1755