#jupyter_notebook#darknet#pytorch#scaled_yolov4#yolor#yolov3#yolov4#yolov7
YOLOv7 is a powerful tool for detecting objects in images and videos. It is fast, accurate, and can work well on devices with limited power, making it useful for real-time applications like self-driving cars and surveillance systems. YOLOv7 uses advanced techniques like Feature Pyramid Networks to detect objects of different sizes and can handle complex scenes with overlapping objects. This makes it beneficial for users who need quick and precise object detection in various environments.
https://github.com/WongKinYiu/yolov7
#RARE/USDT analysis :
#RARE is currently in an uptrend, trading above its 200 Exponential Moving Average (EMA). The price is currently testing the support zone and the 200 EMA. It is expected that the price will bounce back from these levels and will test the swing high. For a long entry opportunity, consider waiting for the price to break above the $0.0930 level.
TF : 2h
Entry : $0.0930
Target : $0.1250
SL : $0.0792
#RARE/USDT analysis :
#RARE is currently undergoing a corrective pullback, anticipated to test the 200 EMA before resuming its bearish momentum. This situation creates a potential long trade opportunity on lower time frame (LTF).
TF : 1h
Entry : $0.0692
Target : $0.0802
SL : $0.0634
#RARE/USDT analysis :
#RARE has broken above the trendline after consolidating in a support zone, indicating a bullish shift. The price is expected to bounce off this zone and rise, testing previous swing highs.
TF : 1D
Entry : $0.1330
Target : $0.2960
SL : $0.0923