diff --git a/dash_host.py b/dash_host.py
new file mode 100644
index 0000000..6707d9d
--- /dev/null
+++ b/dash_host.py
@@ -0,0 +1,45 @@
+import dash
+import dash_html_components as html
+import dash_core_components as dcc
+import plotly.express as px
+
+from analyzer import Analyzer
+
+def dash_host(df):
+    app = dash.Dash(__name__)
+
+    fig_networth = px.line(df, x="Time", y=['Networth'], title='Fund Porfolio Growth(USD)')
+    # fig_networth.update_layout(xaxis = dict(title='Date', tickmode='array', tickvals= list(range(len(df))), ticktext=list(df.Time)))
+    fig_btc_price = px.line(df, x="Time", y=['BTC_price'], title='BTC Price(USD)')
+    
+    fig_daily_token_return = px.line(df, x="Time", y=["BTC_daily_token_return_value","USDT_daily_token_return_value","GBP_daily_token_return_value"], title="Daily Token Return Value(USD)")
+    fig_daily_return = px.bar(df, x="Time", y=["BTC_daily_return_value","USDT_daily_return_value","GBP_daily_return_value"], title="Daily Return Value(USD)")
+    fig_daily_return_line = px.line(df, x="Time", y=["BTC_daily_return_value","USDT_daily_return_value","GBP_daily_return_value"], title="Daily Return Value(USD)")
+    fig_accumulative_return = px.line(df, x="Time", y=["BTC_accumulative_return","USDT_accumulative_return","GBP_accumulative_return"], title="Accumulative Return Value(USD)")
+    fig_btc_value = px.line(df, x='Time', y=["BTC_value"], title="Total Value in BTC Pools(USD)")
+    fig_usdt_value = px.line(df, x='Time', y=["USDT_value"], title="Total Value in USDT Pools(USD)")
+    fig_gbp_value = px.line(df, x='Time', y=["GBP_value"], title="Total Value in GBP Pools(USD)")
+
+    app.layout = html.Div(
+        [
+            # html.H2('Fund Porfolio Growth(USD)'),
+            dcc.Graph(figure=fig_networth),
+            # html.H2('BTC Price(USD)'),
+            dcc.Graph(figure=fig_btc_price),
+            # html.H2('Daily Return Value(USD)'),
+            dcc.Graph(figure=fig_daily_token_return),
+            dcc.Graph(figure=fig_daily_return),
+            dcc.Graph(figure=fig_daily_return_line),
+            dcc.Graph(figure=fig_accumulative_return),
+            dcc.Graph(figure=fig_btc_value),
+            dcc.Graph(figure=fig_usdt_value),
+            dcc.Graph(figure=fig_gbp_value),
+        ]
+    )
+    app.run_server(host='localhost', port=5102)
+
+if __name__ == '__main__':
+    analyzer = Analyzer()
+    result_df = analyzer.process_data()
+    print(result_df)
+    dash_host(result_df)
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