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Profitability Per Trade Average Ranking for 2013

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 Cantor Fitzgerald
42.92 %
2 B. Riley
41.24 %
3 Roth Capital
35.83 %
4 Barrington Research
34.98 %
5 Caris & Company
30.87 %
6 Northland Securities
30.81 %
7 William Blair
30.76 %
8 Avondale
30.36 %
9 Leerink Swann
29.45 %
10 JMP Securities
29.02 %
11 KeyBanc Capital Mkts
28.37 %
12 Boenning & Scattergood
27.69 %
13 Wedbush
26.57 %
14 Stifel Nicolaus
26.47 %
15 Needham
26.24 %
16 Piper Jaffray
24.82 %
17 Dougherty & Company
24.46 %
18 Oppenheimer
23.99 %
19 CIBC Wrld Mkts
23.57 %
20 BB&T Capital Mkts
23.42 %
21 B. Riley & Co
22.11 %
22 Sun Trust Rbsn Humphrey
21.19 %
23 Feltl & Co.
20.68 %
24 Natixis Bleichroede
20.45 %
25 Robert W. Baird
19.13 %
26 C.K. Cooper
19.02 %
27 Ardour Capital
18.72 %
28 Keefe Bruyette
18.62 %
29 BMO Capital Markets
18.07 %
30 Sandler O'Neill
17.69 %
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