Unalbe to use Nifty Prediction using Artifical Intelligence and Live Index Scan : 5 EMA for Intraday #148
-
Dear Pranjal, I would like to thank you very much for sharing this wonderful, very well constructed tool with everyone. Particularly since it comes from India. and Can you please guide me what is wrong here? Thanks, |
Beta Was this translation helpful? Give feedback.
Replies: 2 comments 3 replies
-
Hi @anirbanphys It seems like the screenipy is not able to download the required ML model files from the GitHub repo! Please check your internet connectivity or if you have enabled any proxies on your system due to the access control is setup by your organization then disable it or try on your personal PC. If that doesn't work then download following files and keep it in the same folder where https://github.com/pranjal-joshi/Screeni-py/blob/main/src/ml/nifty_model.h5 https://github.com/pranjal-joshi/Screeni-py/blob/main/src/ml/nifty_model.pkl |
Beta Was this translation helpful? Give feedback.
-
Hey, there seems to be an issue in the AI gap prediction where nifty gapdown chances are locked to 17.707% and cannot go above. The gap up chances are fine but for the last few weeks, the gap down % is capped out at 17.707% |
Beta Was this translation helpful? Give feedback.
Hi @anirbanphys
It seems like the screenipy is not able to download the required ML model files from the GitHub repo!
Please check your internet connectivity or if you have enabled any proxies on your system due to the access control is setup by your organization then disable it or try on your personal PC.
If that doesn't work then download following files and keep it in the same folder where
screenipy.exe
is kept.https://github.com/pranjal-joshi/Screeni-py/blob/main/src/ml/nifty_model.h5
https://github.com/pranjal-joshi/Screeni-py/blob/main/src/ml/nifty_model.pkl