analytics

app.py

@@ -15,6 +15,7 @@ import pandas as pd
 from sklearn.preprocessing import StandardScaler
 
 def trend(t):
+  '''
   data = pd.read_pickle("data.pkl") # yf.download(t, period="3mo")
 
   for c in t.split(' '):
@@ -28,6 +29,8 @@ def trend(t):
   result=std.fit_transform(ma)
   df=pd.DataFrame(result,columns=ma.columns)
   d=df.tail(1).stack(level=-1).droplevel(0, axis=0)
+  '''
+  d=pd.read_pickle("data.pkl")
   return gr.ScatterPlot(d, x="Close_MA", y="Volume_MA",color=d.index.values)
 
 '''

data.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8b95a34dc3934ae1988752ad7d62eaddc46fe4956620b349d013b42b29db8a37
-size 14412
+oid sha256:4f8df424998b6b32def2c0515a755d62818a819ec420c2271217e0748316c1a3
+size 759