analytics

app.py

@@ -242,18 +242,33 @@ Use Case:
     btn_ts.click(fn=trend, inputs=in_ts, outputs=plot)
 
     gr.Markdown("""
-
 Maximizing Trading Efficiency: Personalize Your Asset Allocation for Optimal Growth
 =========
 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 
 
 #### There are four phases of the industry life cycle: introduction, growth, maturity, and decline 
-- 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.
+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.
+
+- Long Trader: buy growth industry
+- Short Trader: sell decline industry
 
-#### Personalize objective function and cost function
+#### Personalize objective function and cost function for each trader
 - cost function can prevent selecting decline industry
+  we can use this to filter out blacklisted firms for compliance
+  
 - objective function can identify potential industry
 
+#### Personalize UI to fit each trader
+here is my https://public.tableau.com/app/profile/kevin1619
+
+customize UI for secret sauce formula for stock picking:
+- metric: moving average for the price, moving average for volume, ...etc
+- timeframe chain: monthly, weekly, daily, 4h, 15 min
+
+#### Personalize Alert with Twilio
+The trader can set their price to buy at the right price at the right time, without missing the right entry in a high stress environment
+
+
     """)
 
 demo.launch()