#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
#ALPHA/USDT analysis :
#ALPHA is currently in an uptrend, forming higher highs (HHs) and higher lows (HLs). The price has retraced to a support zone, and a bounce back is anticipated, with expectations to test previous highs.
TF : 1D
Entry : $0.0870
Target : $0.1340
SL : $0.0674
#ALPHA/USDT analysis :
#ALPHA is presently in a downtrend, trading below the 200 EMA. The price is establishing a pattern of lower lows and lower highs. Currently, it encounters resistance near the 200 EMA, indicating a possible continuation of its bearish trend and a retest of previous lows.
TF : 4h
Entry : $0.0558
Target : $0.0520
SL : $0.0584
Custom Signal: Combination of
👉 Double Bottom
👉 Bollinger Breakout
👉 Trend Line Breakout
We expect the price goes up after double bottom but we can’t trade by using only double bottom pattern. We look for another bullish moves like bollinger or trend line breakout.
What if double bottom, Trend Line Breakout and Bollinger Breakout occur for any asset and it’s price hasn’t risen yet
Bingo !!
#ALPHA did 15% in just 3 hours 👌
Just check the chart, let’s create custom signal