- improved

git-svn-id: http://moon:8086/svn/projects/Stock@347 fda53097-d464-4ada-af97-ba876c37ca34

robot.py

@@ -11,12 +11,18 @@
 # https://www.investopedia.com/articles/technical/02/050602.asp
 # https://ntguardian.wordpress.com/2016/09/19/introduction-stock-market-data-python-1
 
-#import matplotlib.pyplot as plt
+do_plot = 1
+
+if do_plot:
+	import matplotlib.pyplot as plt
+	import matplotlib as mpl
+	mpl.rc('figure', max_open_warning = 0)
+
 from stock import Stock
 
 params = {
-	'show_range_days' : 5,
-	'btfd' : {'thresh_max' : -10, 'thresh_min' : 1, 'cand_window' : 5},
+	'show_range_days' : 10,
+	'btfd' : {'thresh_max' : -7, 'thresh_min' : 1, 'cand_window' : 5},
 	'k_euro' : 1 / 1.11,
 	'ema_alpha' : 0.75,
 	'sma_days' : 10,
@@ -136,7 +142,7 @@ def buy_callback(data):
 		buy_list[name]['items'].append(item)
 
 	print(data)
-do_plot = 0
+
 figNum = 1
 if len(show_symbols) > 0:
 	for symbol in show_symbols:
@@ -180,6 +186,7 @@ for symbol in buy_list:
 
 if num_stocks > 0:
 	print ('Gain total = {} %'.format(gain_accum/num_stocks))
+
 if do_plot:
 	plt.show()
 

stock.py

@@ -7,10 +7,7 @@ import os
 import time
 import agent
 from functions import *
-#import matplotlib.pyplot as plt
-#import matplotlib as mpl
-
-#mpl.rc('figure', max_open_warning = 0)
+import matplotlib.pyplot as plt
 
 key = '0UO7Z2MVZ2YSQSVE'