#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
#KNC/USDT analysis :
#KNC is retracing towards the 200 EMA, indicating potential upside. The price is respecting the trendline and bouncing back, which suggests a good opportunity for a long entry. Previous highs will serve as target levels.
TF : 4H
Entry : $0.4198
Target : $0.4582
SL : $0.3939
#KNC/USDT analysis :
#KNC is currently in a downtrend, trading below the 200 EMA. The price is forming a pattern of lower lows and lower highs. At present, the price is facing resistance near the 200 EMA, suggesting a potential reversal from this point to maintain its bearish movement and establish a new lower low.
TF : 4H
Entry : $0.4419
Target : $0.4083
SL : $0.4589