#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
#BAKE/USDT analysis :
#BAKE is currently retracing towards the 200 EMA. The price is expected to retest this moving average before continuing its bearish momentum. The current level presents a favorable opportunity for a long entry.
TF : 2h
Entry : $0.1507
Target : $0.1700
SL : $0.1414
#BAKE/USDT analysis :
The price is in an uptrend, forming higher highs (HHs) and higher lows (HLs) above the 200-period exponential moving average (200 EMA). The price is expected to bounce back from this level and continue its bullish momentum, aiming to test the previous swing high.
TF : 1h
Entry : $0.2783
Target : $0.2929
SL : $0.2705