#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
#TLM/USDT analysis :
#TLM has successfully broken out and retested the previous swing high level. The price is expected to rebound from this point and test the previous highs again.
TF : 1W
Entry : $0.01480
Target : $0.02400/$0.03260
SL : $0.01067
#TLM/USDT analysis :
#TLM is on the upswing, creating higher highs (HHs) and higher lows (HLs) above the 200-period exponential moving average (200 EMA). Currently, the price is undergoing a corrective pullback. It's probable that it will test the support zone and then rebound from there to sustain its bullish momentum and aim to revisit previous highs.
TF : 1h
Entry : $0.01160
Target : $0.01209
SL : $0.01128
#TLM/USDT analysis :
#TLM is presently in an uptrend, forming higher highs (HHs) and higher lows (HLs). The price is currently trading above the support zone and is projected to rebound from there to sustain its bullish momentum and retest previous highs.
TF : 1h
Entry : $0.01093
Target : $0.01144
SL : $0.01056