diff --git a/forecast_code.py b/forecast_code.py
new file mode 100644
index 0000000..b9f63ef
--- /dev/null
+++ b/forecast_code.py
@@ -0,0 +1,21 @@
+# import pmdarima as pm 
+
+arima_model=pm.auto_arima(eth_vwap_close,seasonal=False,stepwise=True,supress_warnings=True)
+
+
+#Forecast the next 5 periods
+n_periods=5
+forecast,conf_int = arima_model.predict(n_periods=n_periods,return_conf_int=True)
+
+
+trace1 = go.Scatter(x=list(range(1, len(eth_vwap_close)+1)), y=eth_vwap_close, mode='lines+markers', name='close')
+
+# create a trace for the 'forecast' data with NaN for missing values
+
+trace2=go.Scatter(x=list(range(len(eth_vwap_close)+1, len(eth_vwap_close)+len(forecast)+1)),y=forecast, mode='lines+markers',name='forecast')
+
+fig2=go.Figure(data=[trace1,trace2])
+
+#create the plotly figure
+# show the plot
+fig2.write_html('forecast_chart.html')