diff --git a/aapl.h5 b/aapl.h5
new file mode 100644
index 0000000..b4705d0
Binary files /dev/null and b/aapl.h5 differ
diff --git a/pandas_eval.py b/pandas_eval.py
index b0f197f..6f2e55e 100644
--- a/pandas_eval.py
+++ b/pandas_eval.py
@@ -45,18 +45,56 @@ def macd(data):
 
 	return ema_short - ema_long
 
+data = {}
 if 0:
 	# Get stock price via data reader
 	start = datetime.datetime(2016,1,1)
 	end = datetime.date.today()
-	apple = web.DataReader("AAPL", "av-monthly", start, end, api_key=key)
-	type(apple)
+	data = web.DataReader("AAPL", "av-monthly", start, end, api_key=key)
+#	data = web.DataReader("AAPL", "stooq", start, end)
 
-pd_data = pd.read_csv("aapl.csv", names=['Dates', 'Price'])
-np_data = np.flip(pd_data['Price'].to_numpy())
+	type(data)
+	hdf = pd.HDFStore('aapl.h5')
+	hdf['open'] = data['open']
+	hdf['close'] = data['close']
+	hdf['high'] = data['high']
+	hdf['low'] = data['low']
+	hdf.close()
 
+else:
+	hdf = pd.HDFStore('aapl.h5', 'r')
+	data['open'] = hdf['open']
+	data['close'] = hdf['close']
+	data['high'] = hdf['high']
+	data['low'] = hdf['low']
+	hdf.close()
+
+df = pd.DataFrame({"A": ["a", "b", "c", "a"]})
+print(df)
+
+v = data.values()
+i = data.items()
+print(data)
+
+data['ema'] = ema(data['close'], alpha=0.75)
+
+data['open'].plot()
+data['close'].plot()
+data['high'].plot()
+data['low'].plot()
+plt.legend()
+plt.grid()
+plt.show()
+
+np_data = np.flip(data['close'].to_numpy())
+
+plt.subplot(211)
 plt.plot(np_data, label='Price')
 plt.plot(ema(np_data), label='EMA')
+plt.legend()
+plt.grid()
+
+plt.subplot(212)
 plt.plot(macd(np_data), label='MACD')
 plt.legend()
 plt.grid()