diff --git a/css/style.css b/css/style.css
index 221f6e2..6da5658 100644
--- a/css/style.css
+++ b/css/style.css
@@ -45,3 +45,6 @@ li:last-child::after {
 	font-style: normal;
 	font-weight: normal;
 }
+
+h2.ofplot { margin-bottom: .5em; }
+.plot { margin: 0 auto; }
diff --git a/index.html b/index.html
index 648c6d3..66c89e7 100644
--- a/index.html
+++ b/index.html
@@ -39,7 +39,10 @@
 		<font class="red">Gostcoin (GST)</font> is a digital currency based on blockchain technology. It allows instant payments worldwide with focus on privacy and security of its users.<br>
 		<font class="red">GOSTCoin</font> uses Russian government standard cryptography: <font class="red">GOST R 34.10-2012</font> for signature and <font class="red">GOST R 34.11-2012</font> for hash.<br>
 		<br>
-		Hash and Proof-of-work uses <font class="red">GOST_R_3411_2012-256(GOST_R_3411_2012-512())</font> function (256 bit hashsum over 512 bit hashsum of string), assumed in Big Endian.<br> 
+		Hash and Proof-of-work uses <font class="red">GOST_R_3411_2012-256(GOST_R_3411_2012-512())</font> function (256 bit hashsum over 512 bit hashsum of string), assumed in Big Endian.<br>
 		For signatures <font class="red">Gostcoin</font> uses <font class="red">GOST_R_3410_2012</font> algorithm with CryptoPro XchA (1.2.643.2.2.36.0) parameters set over the hash specified above.
+		<br><br><br>
+		<h2 class="red ofplot">GST/BTC exchange rate chart</h2>
+		<div class="plot"><img src="img/GSTBTC_graph.png" /></div>
 	</body>
 </html>
diff --git a/scripts/plot.py b/scripts/plot.py
index 55fe2c1..26d41dd 100755
--- a/scripts/plot.py
+++ b/scripts/plot.py
@@ -11,7 +11,7 @@ import math
 import json
 import urllib
 
-PLOT_TITLE = 'BTC_GST graph'
+PLOT_TITLE = ''
 Y_AXIS_NAME = 'BTC price'
 PNG_FILENAME = '../img/GSTBTC_graph.png'
 DPI = 60 # affects the size of output image
@@ -65,7 +65,10 @@ def draw_plot(oneline, secondline, dates):
     plt.ylabel(Y_AXIS_NAME)
     plt.title(PLOT_TITLE)
     plt.grid(True)
-    plt.savefig(PNG_FILENAME, bbox_inches='tight', dpi=DPI)
+    plt.savefig(PNG_FILENAME,
+                bbox_inches='tight',
+                dpi=DPI,
+                transparent=True)
 
 def generate_graphic():
     data = get_data_from_nvspc()