diff --git a/.idea/.gitignore b/.idea/.gitignore
new file mode 100644
index 0000000..26d3352
--- /dev/null
+++ b/.idea/.gitignore
@@ -0,0 +1,3 @@
+# Default ignored files
+/shelf/
+/workspace.xml
diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml
new file mode 100644
index 0000000..105ce2d
--- /dev/null
+++ b/.idea/inspectionProfiles/profiles_settings.xml
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+
+
+
+
+
+
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diff --git a/.idea/misc.xml b/.idea/misc.xml
new file mode 100644
index 0000000..118d141
--- /dev/null
+++ b/.idea/misc.xml
@@ -0,0 +1,4 @@
+
+
+
+
\ No newline at end of file
diff --git a/.idea/modules.xml b/.idea/modules.xml
new file mode 100644
index 0000000..edfabe6
--- /dev/null
+++ b/.idea/modules.xml
@@ -0,0 +1,8 @@
+
+
+
+
+
+
+
+
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diff --git a/.idea/streamlit-framework.iml b/.idea/streamlit-framework.iml
new file mode 100644
index 0000000..92dcb66
--- /dev/null
+++ b/.idea/streamlit-framework.iml
@@ -0,0 +1,8 @@
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/.idea/vcs.xml b/.idea/vcs.xml
new file mode 100644
index 0000000..94a25f7
--- /dev/null
+++ b/.idea/vcs.xml
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+
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+
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diff --git a/app.py b/app.py
index e69de29..267fbd8 100644
--- a/app.py
+++ b/app.py
@@ -0,0 +1,61 @@
+import pandas as pd
+import streamlit as st
+from dotenv import load_dotenv
+from alpha_vantage.timeseries import TimeSeries
+import matplotlib.pyplot as plt
+import altair as alt
+import plotly.express as px
+import requests
+import os
+
+st.title('TDI Milestone Project')
+st.header('Select Plot Parameters')
+st.text('An interactive chart of stock closing prices using Streamlit and Plot.ly.')
+
+Ticker = st.selectbox('Ticker', options =
+ ['IBM',
+ 'TSLA',
+ 'AAPL'])
+Year = st.selectbox('Year', options =
+ [2010,
+ 2011,
+ 2012,
+ 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021])
+Month = st.selectbox('Month:', options =
+ ['January',
+ 'February',
+ 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December'])
+@st.cache
+def load_data(Tic, YEAR, MONTH):
+ load_dotenv()
+ api_key = '7BVCOMX48DYGXDOY'
+ ts = TimeSeries(key=api_key, output_format='pandas')
+ data, meta_dats = ts.get_daily(Tic, outputsize = 'full')
+ month_dict = {}
+ keys = ["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"]
+ values = list(range(1, 13))
+ i = 0
+ for key in keys:
+ month_dict[key] = values[i]
+ i = i+1
+ m_int = month_dict.get(MONTH)
+ data['date'] = data.index.time
+ s = (data['date'].index.year == YEAR) * (data['date'].index.month == m_int)
+ g = data[s]['4. close']
+ return g
+
+#### Chart ###
+fig = px.line(load_data(Ticker, Year, Month),
+ y='4. close',
+ )
+fig.update_layout(
+ xaxis_title="Timestamp",
+ yaxis_title="Closing Price",
+)
+st.plotly_chart(fig)
+
+
+
+
+
+