diff --git a/richwatch.py b/richwatch.py
index 1435cce..b143494 100755
--- a/richwatch.py
+++ b/richwatch.py
@@ -15,15 +15,12 @@
 spotsum = client.account_snapshot("SPOT")
 
 # print report
-print ("Richwatch 0.1")
-# spotsum is a json with snapshots of crypto values, so we get the last entry (-1) and translate the date to print
-print (" Data from: %s" % (datetime.datetime.fromtimestamp(int(spotsum["snapshotVos"][-1]['updateTime'])/1000)))
+print ("Richwatch 0.2")
 assetsum = 0.0
-
 # once the last snapshot is selected, crypto with 0 value is ignored, while crypto I have is accounted
-for balance in spotsum["snapshotVos"][-1]['data']['balances']:
-    if float(balance["free"]) != 0:
-        assetqty = float(balance["free"])
+for balance in client.account()["balances"]:
+    if float(balance["free"]) != 0 or float(balance["locked"]) != 0:
+        assetqty = float(balance["free"]) + float(balance["locked"])
         if balance["asset"] != "USDT":
             # if the crypto is not called USDT, it must be multiplied by its value in USDT
             assetvalue = float(client.avg_price(balance["asset"] + "USDT")["price"])
@@ -36,3 +33,25 @@
 brlvalue = float(client.avg_price("USDTBRL")["price"])
 # total is also measured in BRL for additional commodity
 print("Total: US$ %.2f / R$ %.2f" % (assetsum, assetsum * brlvalue))
+
+# spotsum is a json with snapshots of crypto values, so we get the last entry (-1) and translate the date to print
+#print (" Data from: %s" % (datetime.datetime.fromtimestamp(int(spotsum["snapshotVos"][-1]['updateTime'])/1000)))
+#assetsum = 0.0
+#
+## once the last snapshot is selected, crypto with 0 value is ignored, while crypto I have is accounted
+#for balance in spotsum["snapshotVos"][-1]['data']['balances']:
+#    if float(balance["free"]) != 0:
+#        assetqty = float(balance["free"])
+#        if balance["asset"] != "USDT":
+#            # if the crypto is not called USDT, it must be multiplied by its value in USDT
+#            assetvalue = float(client.avg_price(balance["asset"] + "USDT")["price"])
+#        else:
+#            # if the crypto is called USDT, it must be multiplied by 1
+#            assetvalue = 1.0 
+#        usvalue = assetvalue * assetqty
+#        assetsum += usvalue
+#        print("  %s: US$ %.2f = %.2f @ US$ %.2f" % (balance["asset"], usvalue, assetqty, assetvalue ))
+#brlvalue = float(client.avg_price("USDTBRL")["price"])
+## total is also measured in BRL for additional commodity
+#print("Total: US$ %.2f / R$ %.2f" % (assetsum, assetsum * brlvalue))
+#
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