#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
#FET/USDT Analysis-
The price has formed a symmetrical triangle pattern. Given the current bullish market scenario, there is a high probability of an upward breakout.
If the breakout occurs, the price is likely to rally toward the target zone from the breakout point.
T.F.- 1-D
ENTRY- as soon as it gives breakout
SL- 1.2
TARGET- 2.04
Note: If the stop-loss is triggered before entry, disregard the trade as the price action may develop differently.
#FET/USDT analysis :
#FET has broken down the 200 EMA and previous support levels. It is now undergoing a pullback and retesting the resistance zone. The price is expected to reject from there and bounce back to continue its bearish momentum.
TF : 1H
Entry : $1.170
Target : $1.057
SL : $1.252