title: R downloaded stock prices differing
body: <p>I am a day trader in INDIA. I have downloaded stock prices into r from YAHOO finance and from Quandl. But they are differing:</p>
  
  <p>This is from YAHOO finance:</p>
  
  <pre><code>head(snl[[190]])
             SUZLON.NS.Open SUZLON.NS.High SUZLON.NS.Low SUZLON.NS.Close SUZLON.NS.Volume SUZLON.NS.Adjusted
  2005-10-19         127.80         139.74        116.05          138.57        152125030           131.4587
  2005-10-20         140.20         141.55        127.40          129.38         39078530           122.7403
  2005-10-21         127.05         139.00        127.05          134.77         25623135           127.8537
  2005-10-24         137.40         138.00        129.66          130.79         11125060           124.0779
  2005-10-25         128.26         132.73        128.26          131.84          6320275           125.0740
  2005-10-26         131.98         138.36        130.07          137.58         13556210           130.5195
  </code></pre>
  
  <p>This is from Quandl(from NSE(NATIONAL STOCK EXCHANGE of INDIA)):</p>
  
  <pre><code>mydata2 &lt;- Quandl("NSE/SUZLON", type = "xts")
  &gt; head(mydata2)
               Open   High    Low   Last  Close Total Trade Quantity Turnover (Lacs)
  2005-10-19 639.00 698.70 580.25 685.00 692.85             30425006       198742.85
  2005-10-20 701.00 707.75 637.00 640.55 646.90              7815706        51594.41
  2005-10-21 635.25 695.00 635.25 688.00 673.85              5124627        33589.12
  2005-10-24 687.00 690.00 648.30 651.35 653.95              2225012        14857.01
  2005-10-25 641.30 663.65 641.30 660.00 659.20              1264055         8298.54
  2005-10-26 659.90 691.80 650.35 690.00 687.90              2711242        18417.62
  </code></pre>
  
  <p>I cannot risk downloading wrong stock prices as it means loss of millions of rupees. Why are the stock prices differing? Should I trust the data from QUANDL/NSE as it is from the exchange itself?</p>
  
  <p>Very many thanks for your time and effort...</p>