Update ec2.py

ec2.py

@@ -3,8 +3,8 @@
 import math, random, sys, json
 from statistics import mean, stdev
 
-
-event = json.loads(sys.stdin.read())
+input = sys.stdin.read()
+event = json.loads(input)
 
 
 dt = eval(event['key1'])
@@ -21,8 +21,8 @@ var_99_list = []
 dates = []
 
 for i in range(minhistory, len(close)):
-	if t == "buy":
-		if buy[i] == 1: #If it is to buy
+	if t == "sell":
+		if sell[i] == 1: #If it is to sell
 			closing = close[i-minhistory:i]
 			percent_change = [(closing[i] - closing[i-1]) / closing[i-1] for i in range(1,len(closing))]
 			mean_value = mean(percent_change)
@@ -36,8 +36,8 @@ for i in range(minhistory, len(close)):
 			var_95_list.append(var95)
 			var_99_list.append(var99)
 			dates.append(str(dt[i]))
-	elif t == "sell":
-		if sell[i] == 1: #If it is to sell
+	elif t == "buy":
+		if buy[i] == 1: #If it is to buy
 			closing = close[i-minhistory:i]
 			percent_change = [(closing[i] - closing[i-1]) / closing[i-1] for i in range(1,len(closing))]
 			mean_value = mean(percent_change)
@@ -52,13 +52,13 @@ for i in range(minhistory, len(close)):
 			var_99_list.append(var99)
 			dates.append(str(dt[i]))
 
-output = {"dates" : dates,
+result = {"dates" : dates,
 		"var95" : var_95_list,
 		"var99" : var_99_list
 		}
 
-output = json.dumps(output)
+final_output = json.dumps(result)
 
 print("Content-Type: application/json")
 print()
-print(output)
+print(final_output)