analytics

app.py

@@ -13,6 +13,7 @@ TIME SERIES ANALYTICS
 import yfinance as yf
 import pandas as pd
 from sklearn.preprocessing import StandardScaler
+import plotly.express as px
 
 def trend(t):
   '''
@@ -31,6 +32,23 @@ def trend(t):
   d=df.tail(1).stack(level=-1).droplevel(0, axis=0)
   '''
   d=pd.read_pickle("data.pkl")
+  '''
+        fig = px.line(df, x="day", y=countries)
+        fig.update_layout(
+            title="Outbreak in " + month,
+            xaxis_title="Cases",
+            yaxis_title="Days Since Day 0",
+        )
+        return fig
+  '''
+  fig=px.scatter(d, x="Close_MA", y="Volume_MA",color='ticker')
+  fig.update_layout(
+    title="Top Right is the Growth Industry",
+    xaxis_title="Trend in Price",
+    yaxis_title="Trend in Volume",
+  )
+  return fig
+  return
   return gr.ScatterPlot(d, x="Close_MA", y="Volume_MA",color='ticker')
 
 '''
@@ -224,13 +242,15 @@ Use Case:
 
 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 1. There are four phases of the industry life cycle: introduction, growth, maturity, and decline 2.
+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 
 
-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.
+#### 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.
 
-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.
+#### Personalize objective function and cost function
+- cost function can prevent selecting decline industry
+- objective function can identify potential industry
 
-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.
     """)
 
 demo.launch()

requirements.txt

@@ -1,6 +1,7 @@
 chromadb
 fastai
-pyarrow
+#pyarrow
 pandas==2.1.3
-yfinance==0.2.31
-scikit-learn
+#yfinance==0.2.31
+#scikit-learn
+plotly