diff --git a/examples/AIExample.ipynb b/examples/AIExample.ipynb
index 5469706..9c7329c 100644
--- a/examples/AIExample.ipynb
+++ b/examples/AIExample.ipynb
@@ -7,7 +7,7 @@
     "# Strategy Analysis with **Pandas TA** and AI/ML\n",
     "* This is a **Work in Progress** and subject to change!\n",
     "* Contributions are welcome and accepted!\n",
-    "* Examples below are for **educational purposes only**"
+    "* Examples below are for **educational purposes only**."
    ]
   },
   {
@@ -45,7 +45,7 @@
       "Numpy v1.18.3\n",
       "Pandas v1.1.0\n",
       "mplfinance v0.12.6a3\n",
-      "Pandas TA v0.1.99b\n"
+      "Pandas TA v0.2.02b\n"
      ]
     }
    ],
@@ -112,13 +112,13 @@
      "text": [
       "[!] Loading All: SPY, QQQ, AAPL, TSLA\n",
       "[i] Loaded['D']: SPY_D.csv\n",
-      "[i] Runtime: 13.2056 ms (0.0132 s)\n",
+      "[i] Runtime: 35.2548 ms (0.0353 s)\n",
       "[i] Loaded['D']: QQQ_D.csv\n",
-      "[i] Runtime: 29.3252 ms (0.0293 s)\n",
+      "[i] Runtime: 85.3897 ms (0.0854 s)\n",
       "[i] Loaded['D']: AAPL_D.csv\n",
-      "[i] Runtime: 53.6132 ms (0.0536 s)\n",
+      "[i] Runtime: 20.9833 ms (0.0210 s)\n",
       "[i] Loaded['D']: TSLA_D.csv\n",
-      "[i] Runtime: 17.6341 ms (0.0176 s)\n"
+      "[i] Runtime: 34.4865 ms (0.0345 s)\n"
      ]
     }
    ],
@@ -353,7 +353,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x1111cb940>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x11b509040>"
       ]
      },
      "execution_count": 9,
@@ -396,7 +396,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x10529e100>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x10f4258e0>"
       ]
      },
      "execution_count": 10,
@@ -441,7 +441,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x1112a2070>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x11b876460>"
       ]
      },
      "execution_count": 11,