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Profitability Per Trade Average Ranking for 2015

What is the Average Profitability Per Trade Ranking? Average Profitability Per Trade (APPT) basically refers to the average amount you can expect to win or lose per trade.

Average Profitability Per Trade =
                   (Probability of Win x Average Win) - (Probability of Loss x Average Loss)


The Average Profitability Per Trade Ranking is calculated for the last week, last month, and year to date.  GainersToday requires at least ten stock recommendations to participate in the Accuracy Rankings.
Show:   Period:    
RankMember YTD
Profitability Per Trade Average
1 BWS Financial
17.09 %
2 Noble Financial
17.07 %
3 Needham
10.92 %
4 Robert W. Baird
10.15 %
5 William Blair
9.48 %
6 Sandler O'Neill
7.23 %
7 Credit Suisse
6.25 %
8 Dougherty & Company
6.03 %
9 Roth Capital
6.03 %
10 Argus
5.88 %
11 FBR Capital
5.30 %
12 B. Riley & Co
4.31 %
13 Deutsche Bank
3.19 %
14 Oppenheimer
2.89 %
15 Raymond James
2.39 %
16 Jefferies
2.17 %
17 Morgan Stanley
1.53 %
18 Boenning & Scattergood
1.05 %
19 DA Davidson
0.97 %
20 MKM Partners
0.75 %
21 JP Morgan
0.02 %
22 UBS
-0.89 %
23 Barrington Research
-1.59 %
24 RBC Capital Mkts
-2.44 %
25 BB&T Capital Mkts
-3.02 %
26 Maxim Group
-5.11 %
27 BMO Capital Markets
-5.83 %
28 Standpoint Research
-8.38 %
29 Wunderlich
-9.09 %
30 Global Hunter Securities
-24.98 %
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