analytics

app.py

@@ -10,14 +10,16 @@ https://hits.seeyoufarm.com/
 '''
 TIME SERIES ANALYTICS
 '''
-import yfinance as yf
+
 import pandas as pd
-from sklearn.preprocessing import StandardScaler
+
 import plotly.express as px
 
 def trend(t):
   '''
-  data = pd.read_pickle("data.pkl") # yf.download(t, period="3mo")
+  import yfinance as yf
+  from sklearn.preprocessing import StandardScaler
+  data = yf.download(t, period="3mo")
 
   for c in t.split(' '):
       q=data.loc[:,('Close',c)]
@@ -33,6 +35,7 @@ def trend(t):
   '''
   d=pd.read_pickle("data.pkl")
   '''
+  https://www.gradio.app/docs/plot
         fig = px.line(df, x="day", y=countries)
         fig.update_layout(
             title="Outbreak in " + month,
@@ -229,7 +232,7 @@ Use Case:
 
     """)
   with gr.Tab("Trading Analyics"):
-    in_ts = gr.Textbox(placeholder="QQQM CIF VEGI PJP",
+    in_ts = gr.Textbox(placeholder="XLE XLV XLY XLK XLF XLP XLI XLRE XLU",
                             label="Ticker",
                             info="Identify Industry Trend, (top right is grow trending)"
                             )

data.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:db909946dbc190d5fe4891508cae4b500f3633990eff6133b57a08288265a1a1
-size 857
+oid sha256:b70f00b9653d4031096886ecfb6f206070c48026f56ab24fb5f28e12b874d722
+size 966