diff --git a/shell.nix b/shell.nix
index 11d0f30..d5ed8a2 100644
--- a/shell.nix
+++ b/shell.nix
@@ -9,6 +9,7 @@ stdenv.mkDerivation rec {
     python311
     python311Packages.virtualenv
     python311Packages.pandas
+    python311Packages.numpy
     python311Packages.xlrd
     python311Packages.python-lsp-server
     python311Packages.python-lsp-black
diff --git a/zacks.py b/zacks.py
index f37ccf0..1e3a51b 100644
--- a/zacks.py
+++ b/zacks.py
@@ -1,4 +1,5 @@
 import pandas as pd
+import numpy as np
 import argparse
 from datetime import datetime
 
@@ -47,6 +48,30 @@ def add_cols(df):
     df['PE0 Mean'] = df.groupby('Industry')['PE0'].transform('mean').round(2)
     df['PE1 Mean'] = df.groupby('Industry')['PE1'].transform('mean').round(2)
     df['PE2 Mean'] = df.groupby('Industry')['PE2'].transform('mean').round(2)
+    # Long Profile 1
+    mask = ((df['EG1'] > df['EG1 Mean']) & (df['EG2'] > df['EG2 Mean']) & (df['EG2'] > df['EG1']) & (df['EG2 Mean'] > df['EG1 Mean']))
+    long_1 = np.where(mask, 'Long EG 1', '')
+    df['Profile'] = long_1
+    # Long Profile 2
+    mask = ((df['EG1'] > df['EG1 Mean']) & (df['EG2'] > df['EG2 Mean']) & (df['EG2'] > df['EG1']) & (df['EG2 Mean'] == df['EG1 Mean']))
+    long_2 = np.where(mask, 'Long EG 2', df['Profile'])
+    df['Profile'] = long_2
+    # Long Profile 3
+    mask = ((df['EG1'] > df['EG1 Mean']) & (df['EG2'] > df['EG2 Mean']) & (df['EG2'] > df['EG1']) & (df['EG2 Mean'] < df['EG1 Mean']))
+    long_3 = np.where(mask, 'Long EG 3', df['Profile'])
+    df['Profile'] = long_3
+    # Short Profile 1
+    mask = ((df['EG1'] < df['EG1 Mean']) & (df['EG2'] < df['EG2 Mean']) & (df['EG2'] < df['EG1']) & (df['EG2 Mean'] > df['EG1 Mean']) & (df['EG1'] < 0) & (df['EG2'] < 0) & (df['EG1 Mean'] > 0) & (df['EG2 Mean'] > 0))
+    short_1 = np.where(mask, 'Short EG 1', df['Profile'])
+    df['Profile'] = short_1
+    # Short Profile 2
+    mask = ((df['EG1'] < df['EG1 Mean']) & (df['EG2'] < df['EG2 Mean']) & (df['EG2'] > df['EG1']) & (df['EG2 Mean'] > df['EG1 Mean']) & (df['EG1'] < 0) & (df['EG2'] < 0) & (df['EG1 Mean'] > 0) & (df['EG2 Mean'] > 0))
+    short_2 = np.where(mask, 'Short EG 2', df['Profile'])
+    df['Profile'] = short_2
+    # Short Profile 3
+    mask = ((df['EG1'] < df['EG1 Mean']) & (df['EG2'] < df['EG2 Mean']) & (df['EG2'] < df['EG1']) & (df['EG2 Mean'] > df['EG1 Mean']) & (df['EG1'] > 0) & (df['EG2'] < 0) & (df['EG1 Mean'] > 0) & (df['EG2 Mean'] > 0))
+    short_3 = np.where(mask, 'Short EG 3', df['Profile'])
+    df['Profile'] = short_3
     return df