Update Indicator_MACD_Histogram_Gradient.ipynb

Formula For MACD Indicator Calculation

Author: DrChandrakant

examples/Indicator_MACD_Histogram_Gradient.ipynb

@@ -21,7 +21,24 @@
    "source": [
     "infile = 'data/t_data.csv'\n",
     "\n",
-    "df = pd.read_csv(infile, index_col=0, parse_dates=True)"
+    "#Data Used In This Example\n",
+    "df = pd.read_csv(infile, index_col=0, parse_dates=True)",
+    "#Formula Used For Calculation\n",
+    "# Get the 26-day EMA of the closing price\n",
+    "#k = df['Close'].ewm(span=12, adjust=False, min_periods=12).mean()\n",
+    "# Get the 12-day EMA of the closing price\n",
+    "#d = df['Close'].ewm(span=26, adjust=False, min_periods=26).mean()\n",
+    "# Subtract the 26-day EMA from the 12-Day EMA to get the MACD\n",
+    "#macd = k - d\n",
+    "# Get the 9-Day EMA of the MACD for the Trigger line\n",
+    "#macd_s = macd.ewm(span=9, adjust=False, min_periods=9).mean()\n",
+    "# Calculate the difference between the MACD - Trigger for the Convergence/Divergence value\n",
+    "#macd_h = macd - macd_s\n",
+    "# Add all of our new values for the MACD to the dataframe\n",
+    "#df['MACD_12_26_9'] = df.index.map(macd)\n",
+    "#df['MACDh_12_26_9'] = df.index.map(macd_h)\n",
+    "#df['MACDs_12_26_9'] = df.index.map(macd_s)\n"
+    
    ]
   },
   {