analytics

app.py

@@ -12,6 +12,7 @@ TIME SERIES ANALYTICS
 '''
 import yfinance as yf
 import seaborn as sns
+from sklearn.preprocessing import StandardScaler
 
 def trend(t):
   data = yf.download(t, period="3mo")
@@ -23,12 +24,11 @@ def trend(t):
       data.loc[:,('Volume_MA',c)]=q.rolling(9).mean() -q.rolling(42).mean()
 
   ma=data.loc[:,["Volume_MA","Close_MA"]].tail(15)
-  from sklearn.preprocessing import StandardScaler
   std=StandardScaler()
   result=std.fit_transform(ma)
   df=pd.DataFrame(result,columns=ma.columns)
   d=df.tail(1).stack(level=-1).droplevel(0, axis=0)
-  return sns.scatterplot(d, x="Close_MA", y="Volume_MA",hue=d.index.values)
+  return gr.ScatterPlot(d, x="Close_MA", y="Volume_MA",color=d.index.values)
 
 '''
 SIMILAR VECTOR DB SEARCH
@@ -193,6 +193,27 @@ With no need for jargon, SSDS delivers tangible value to our fintech operations.
       ],
       [in_like]
     )
+    gr.Markdown("""
+Maximizing Trading Efficiency: Investment in Modernization and Growth Industries
+=========
+The industry life cycle is a useful tool for traders to identify growth and decline industries. It describes the evolution of an industry based on its stages of growth and decline 1. There are four phases of the industry life cycle: introduction, growth, maturity, and decline 2.
+
+A growth industry is a sector of an economy that experiences a higher-than-average growth rate compared to other sectors. Growth industries are often new or pioneer industries that did not exist in the past. Their growth is a result of demand for new products or services offered by companies in the field 3. Identifying growth industries can help traders to speed up trading by investing in companies that are likely to experience rapid growth in the future.
+
+On the other hand, a decline industry is a sector of an economy that is experiencing a lower-than-average growth rate compared to other sectors. Identifying decline industries can help traders to avoid investing in companies that are likely to experience a decline in the future 2. This can help traders to minimize losses and maximize profits.
+
+By identifying growth and decline industries, traders can make informed investment decisions and speed up trading by investing in companies that are likely to experience growth in the future and avoiding companies that are likely to experience a decline in the future.
+    """)
+  with gr.Tab("Trading Analyics"):
+    in_ts = gr.Textbox(placeholder="QQQM CIF VEGI PJP",
+                            label="Ticker",
+                            info="Identify Industry Trend, (top right is grow trending)"
+                            )
+    plot = gr.ScatterPlot()
+    #plot = gr.Plot(label="Identify Trend/Decline Industry")
+    btn_ts = gr.Button("Find Trending Industry")
+    btn_ts.click(fn=trend, inputs=in_ts, outputs=plot)
+
     gr.Markdown("""
 Smart Insights: Elevating Customer Engagement Through Sentiment Analysis
 =========
@@ -206,14 +227,6 @@ Use Case:
 - intervene attrition through incentive
 
     """)
-  with gr.Tab("Trading Analyics"):
-    in_ts = gr.Textbox(placeholder="QQQM CIF VEGI PJP",
-                            label="Ticker",
-                            info="Identify Industry Trend, (top right is grow trending)"
-                            )
-    plot = gr.Plot(label="Identify Trend/Decline Industry")
-    btn_ts = gr.Button("Find Trending Industry")
-    btn_ts.click(fn=trend, inputs=in_ts, outputs=[plot])
 
 demo.launch()