As of 04/25/2019
Industrials: 26,462 134.97 0.5%
Transports: 10,846 253.37 2.3%
Utilities: 780 +3.53 +0.5%
Nasdaq: 8,119 +16.67 +0.2%
S&P 500: 2,926 1.08 0.0%

YTD
+13.4%
+18.3%
+9.5%
+22.4%
+16.7%

26,900 or 25,500 by 05/01/2019
11,200 or 10,500 by 05/01/2019
825 or 755 by 05/01/2019
8,250 or 7,850 by 05/15/2019
2,975 or 2,800 by 05/01/2019

As of 04/25/2019
Industrials: 26,462 134.97 0.5%
Transports: 10,846 253.37 2.3%
Utilities: 780 +3.53 +0.5%
Nasdaq: 8,119 +16.67 +0.2%
S&P 500: 2,926 1.08 0.0%

YTD
+13.4%
+18.3%
+9.5%
+22.4%
+16.7%

26,900 or 25,500 by 05/01/2019
11,200 or 10,500 by 05/01/2019
825 or 755 by 05/01/2019
8,250 or 7,850 by 05/15/2019
2,975 or 2,800 by 05/01/2019
 
10baggers are stocks that rise by at least ten times the purchase price within 5 years. The 5 year time limit is arbitrary. This article discusses finding 10baggers using fundamental analysis to select stocks.
I built a database of fundamental values and then mined that data to find fundamental factors that most 10baggers shared. I searched through 974 stocks but found only 163 samples of 10baggers from 1992 to 2007, using split unadjusted data to get an accurate price representation. That's important since a stock valued at $30 today can become $10 tomorrow after a 3 for 1 stock split. Any fundamental ratios, such as price to earnings, price to sales, and so on also change after a stock split. That's why it's important to exclude splits (or compensate for them) from the analysis.
The details of this analysis is in my book, Fundamental Analysis and Position Trading, but here are some of the findings. Most numbers apply to the year before the 10bagger began.

The best time to go shopping for 10baggers is just as or just after a bear market ends.
Using the following criteria on split unadjusted stocks found 104 samples with gains average 585% over 5 years. Twentyeight (27%) of them were 10baggers, but 6% showed losses averaging 26% over 5 years.
This list is slightly different from that published in the book because I allowed almost all of the samples through here but the book uses a cutoff of 66% to weed out the poorer performing fundamentals.
 Thomas Bulkowski
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If all the world's economists were laid end to end, they wouldn't reach a conclusion  William Baumol.