diff --git a/1ano/fp/aula07/README.md b/1ano/fp/aula07/README.md
index 6ac46b2..58a892a 100644
--- a/1ano/fp/aula07/README.md
+++ b/1ano/fp/aula07/README.md
@@ -1,7 +1,7 @@
 # Fundamentos de Programação
 ## Aula 07 - [Slides](https://github.com/TiagoRG/uaveiro-leci/blob/master/1ano/fp/slides/tp07-dictionaries.pdf)
 ### Tópico principal da aula: Dictionaries
-#### Exercícios terminados: ex01, ex02, ex03, ex04
+#### Exercícios em falta: ex05.d)
 
 ---
 *Pode conter erros, caso encontre algum, crie um* [*ticket*](https://github.com/TiagoRG/uaveiro-leci/issues/new)
diff --git a/1ano/fp/aula07/stocks.py b/1ano/fp/aula07/stocks.py
index 0d224a6..8f74fa3 100755
--- a/1ano/fp/aula07/stocks.py
+++ b/1ano/fp/aula07/stocks.py
@@ -1,9 +1,12 @@
+import re
+
 
 # Constantes para indexar os tuplos:
-NAME,DATE,OPEN,MAX,MIN,CLOSE,VOLUME = 0,1,2,3,4,5,6
+NAME, DATE, OPEN, MAX, MIN, CLOSE, VOLUME = 0, 1, 2, 3, 4, 5, 6
+
 
 def main():
-    lst = loadStockFile("nasdaq.csv")
+    lst = loadStockFile("datafiles/nasdaq.csv")
     # Show just first and last tuples:
     print("first:", lst[1])
     print("last:", lst[-1])
@@ -16,10 +19,12 @@ def main():
     print("c) CSCO@11:", stocksDic['2020-10-12']['CSCO'])
     print("c) AMZN@22:", stocksDic['2020-10-22']['AMZN'])
 
+    # Parte incompleta
     port = {'NFLX': 100, 'CSCO': 80}
     print("d) portfolio@01:", portfolioValue(stocksDic, port, "2020-10-01"))
     print("d) portfolio@30:", portfolioValue(stocksDic, port, "2020-10-30"))
 
+
 def loadStockFile(filename):
     lst = []
     with open(filename) as f:
@@ -32,24 +37,54 @@ def loadStockFile(filename):
             lst.append(tup)
     return lst
 
+
 def totalVolume(lst):
     totVol = {}
     # Complete ...
+    for tup in totVol:
+        if tup[NAME] not in totVol:
+            totVol[tup[NAME]] = tup[VOLUME]
+        else:
+            totVol[tup[NAME]] += tup[VOLUME]
 
     return totVol
 
+
 def maxValorization(lst):
     vMax = {}
     # Complete ...
+    for data in range(1, 31):
+        maxDiario = 0
+        maxDiarioComp = "No data"
+        for tup in lst:
+            pat = r"0[1-9]"
+            dia = tup[DATE].split('-')[2]
+            if re.match(pat, dia):
+                dia = dia[1]
+            if data == int(dia):
+                maxcomp = tup[OPEN]/tup[CLOSE] * 100
+                if maxcomp > maxDiario:
+                    maxDiario = maxcomp
+                    maxDiarioComp = tup[NAME]
+
+        if maxDiarioComp != "No data":
+            vMax[data] = (maxDiarioComp, f"{maxDiario:.1f}%")
 
     return vMax
 
+
 def stocksByDateByName(lst):
     dic = {}
     # Complete ...
+    for tup in lst:
+        if tup[DATE] not in dic:
+            dic[tup[DATE]] = {}
+        dic[tup[DATE]][tup[NAME]] = tup
 
     return dic
 
+
+# Função não completa
 def portfolioValue(stocks, portfolio, date):
     assert date in stocks
     val = 0.0
@@ -57,5 +92,6 @@ def portfolioValue(stocks, portfolio, date):
 
     return val
 
+
 if __name__ == "__main__":
     main()