#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
#POND/USDT analysis :
#POND has shown a strong recovery from the support zone following a significant decline of -77% from its all-time high (ATH). The price has also successfully broken above the trendline that was previously acting as resistance, indicating a likely continuation of its bullish momentum toward reaching new all-time highs. A potential gain of +120% is anticipated from the current levels.
TF : 1W
Entry : $0.01966
Target : $0.04240
SL : $0.01358
#POND👀
CoinLegs algorithm detected Symmetrical Triangle at 1h chart 📊
Seems like we got a breakout. Stop Loss below the trendline 🛑
Target levels are on the charts.
#POND result
3rd target achieved in just 12 days ✅✅✅
One more huge quick profit 21.9%🤑💰🤑
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#POND result
1st target achieved in just 1 day✅
One more quick profit 7%💰🤑
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