Test2

GetDaily.py

@@ -2,40 +2,15 @@
 #Get daily quote at end of day
 #Send email, see Jupyter thing on other laptop for sending email
 
-#Quandl no more data after 2018 for some reason
 
-import quandl
 import numpy as np 
 import yfinance as yf
 import plotly.graph_objects as go
 
-#Quandl test
-#quandl.ApiConfig.api_key = "sEj_5XNt1kyxi27p5nre"
-#amazon = quandl.get("WIKI/AMZN")
-#print(amazon.head())
-#print(amazon.tail(10))
-
 #Yfinance tests
 #https://pypi.org/project/yfinance/
 
-df = yf.download("TSLA", start="2018-11-01", end="2020-10-18", interval="1d")
-fig = go.Figure(
-    data=go.Ohlc(
-        x=df.index,
-        open=df["Open"],
-        high=df["High"],
-        low=df["Low"],
-        close=df["Close"],
-    )
-)
-fig.show()
 
-
-data2 = yf.download("SPY AAPL", start="2017-01-01", end="2017-04-30")
+data2 = yf.download(" CRSR VTI VOO DIS", period="1d")
 print(data2.tail())
 
-
-msft = yf.Ticker("MSFT")
-
-# get stock info
-msft.info  

QuandlTests.py

@@ -0,0 +1,13 @@
+
+#Quandl no more stock data after 2018 for some reason
+
+import quandl
+import numpy as np 
+import yfinance as yf
+import plotly.graph_objects as go
+
+#Quandl test
+quandl.ApiConfig.api_key = "sEj_5XNt1kyxi27p5nre"
+amazon = quandl.get("WIKI/AMZN")
+print(amazon.head())
+print(amazon.tail(10))

test.py

@@ -1,4 +1,5 @@
 #DataFlair - Make necessary imports
+#Quandl stock data stop in 2018
 import quandl
 import numpy as np 
 from sklearn.linear_model import LinearRegression

yfinancecharts.py

@@ -0,0 +1,20 @@
+import quandl
+import numpy as np 
+import yfinance as yf
+import plotly.graph_objects as go
+
+
+#Yfinance tests
+#https://pypi.org/project/yfinance/
+
+df = yf.download("TSLA", start="2018-11-01", end="2020-10-18", interval="1d")
+fig = go.Figure(
+    data=go.Ohlc(
+        x=df.index,
+        open=df["Open"],
+        high=df["High"],
+        low=df["Low"],
+        close=df["Close"],
+    )
+)
+fig.show()