diff --git a/val_sim.py b/val_sim.py
index f38741313b639e21f6a8ee1d278df571a227891d..845256b66d1d228a9c411089f22cf31372013f93 100644
--- a/val_sim.py
+++ b/val_sim.py
@@ -1,16 +1,13 @@
-#The below code was referenced and modified as per the requirement from the code provided on course work desciption document.
-#The handling of the input from the  GAE(codes from line 9 to 18) are adopted from Python3 documentation https://docs.python.org/3/library/
 #!/usr/bin/python3
 
-import math, random, sys, json
-from statistics import mean, stdev
+import sys, json
 import cgitb
 cgitb.enable()
 
-
+# Load event data from stdin
 event = json.loads(sys.stdin.read())
 
-
+# Extract input parameters from the event
 dt = eval(event['key1'])
 close = eval(event['key2'])
 buy = eval(event['key3'])
@@ -18,42 +15,17 @@ sell = eval(event['key4'])
 h = int(event['key5'])
 d = int(event['key6'])
 t = event['key7']
-minhistory = h
-shots = d
-var95_list = []
-var99_list = []
-dates = []
-
-for i in range(minhistory, len(close)):
-	if t == "buy":
-		if buy[i] == 1: 
-			close_data = close[i-minhistory:i]
-			pct_change = [(close_data[i] - close_data[i-1]) / close_data[i-1] for i in range(1,len(close_data))]
-			mean = mean(pct_change)
-			std = stdev(pct_change)
-			simulated = [random.gauss(mean,std) for x in range(shots)]
-			simulated.sort(reverse=True)
-			var95 = simulated[int(len(simulated)*0.95)]
-			var99 = simulated[int(len(simulated)*0.99)]
-			var95_list.append(var95)
-			var99_list.append(var99)
-			dates.append(str(dt[i]))
-	elif t == "sell":
-		if sell[i] == 1:
-			close_data = close[i-minhistory:i]
-			pct_change = [(close_data[i] - close_data[i-1]) / close_data[i-1] for i in range(1,len(close_data))]
-			mean = mean(pct_change)
-			std = stdev(pct_change)
-			simulated = [random.gauss(mean,std) for x in range(shots)]
-			simulated.sort(reverse=True)
-			var95 = simulated[int(len(simulated)*0.95)]
-			var99 = simulated[int(len(simulated)*0.99)]
-			var95_list.append(var95)
-			var99_list.append(var99)
-			dates.append(str(dt[i]))
-
-output = {"dates" : dates,
-		"var95" : var95_list,
-		"var99" : var99_list
-		}
 
+# Create the output dictionary with the input parameters
+output = {
+    "dates": dt,
+    "close": close,
+    "buy": buy,
+    "sell": sell,
+    "h": h,
+    "d": d,
+    "t": t
+}
+
+# Print the output as a JSON string
+print(json.dumps(output))