From 2353a33a67b8511257874ecd953acd9d9ea08311 Mon Sep 17 00:00:00 2001
From: Jens Ahrensfeld <jens@jayfield.org>
Date: Sun, 8 Dec 2019 18:13:28 +0000
Subject: [PATCH] - improved

git-svn-id: http://moon:8086/svn/projects/Stock@294 fda53097-d464-4ada-af97-ba876c37ca34
---
 pandas_eval.py | 12 +++++++++++-
 1 file changed, 11 insertions(+), 1 deletion(-)

diff --git a/pandas_eval.py b/pandas_eval.py
index ce31795..1ba8cda 100644
--- a/pandas_eval.py
+++ b/pandas_eval.py
@@ -1,7 +1,9 @@
 import pandas as pd
+import pandas_datareader.data as web
 import numpy as np
 import math
 import matplotlib.pyplot as plt
+import datetime
 
 # Stock Investors Financial Math
 # https://www.fmlabs.com/reference/default.htm?url=SimpleMA.htm
@@ -14,6 +16,8 @@ import matplotlib.pyplot as plt
 
 # Knowledge
 # https://www.investopedia.com/articles/technical/02/050602.asp
+key = '0UO7Z2MVZ2YSQSVE'
+
 
 def sin(f, a, N):
 	result = np.empty(0)
@@ -39,9 +43,15 @@ def macd(data):
 
 	return ema_short - ema_long
 
+# Get stock price via data reader
+if 0:
+	start = datetime.datetime(2016,1,1)
+	end = datetime.date.today()
+	apple = web.DataReader("AAPL", "av-monthly", start, end, api_key=key)
+	type(apple)
+
 pd_data = pd.read_csv("aapl.csv", names=['Dates', 'Price'])
 np_data = np.flip(pd_data['Price'].to_numpy())
-a = sin(2, 1, 100)
 
 plt.plot(np_data, label='Price')
 plt.plot(ema(np_data), label='EMA')