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Profitability Per Trade Average Ranking for 2010

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
61 Susquehanna Financial
11.46 %
62 Wedbush Morgan
11.18 %
63 Jesup & Lamont
10.67 %
64 Jefferies
10.27 %
65 Maxim Group
10.08 %
66 Collins Stewart
9.78 %
67 Leerink Swann
9.66 %
68 Brean Murray
9.58 %
69 Rodman & Renshaw
9.03 %
70 Barclays Capital
8.33 %
71 Roth Capital
8.19 %
72 Deutsche Bank
7.35 %
73 FBR Capital
6.01 %
74 BWS Financial
5.95 %
75 Dahlman Rose
5.83 %
76 Credit Suisse
4.97 %
77 B. Riley
4.44 %
78 Ardour Capital
4.36 %
79 The Stock Advisors Top Stocks For 2010
3.14 %
80 UBS
2.93 %
81 Wedbush
1.84 %
82 HSBC Securities
0.83 %
83 Auriga U.S.A
0.43 %
84 Forbes: 10 Buys And 10 Sells For 2010
-1.18 %
85 Keefe Bruyette
-2.64 %
86 RBC Capital Mkts
-6.51 %
87 Hudson Square Research
-11.69 %
88 CapitalOne southcoast
-22.79 %
89 DA Davidson
-65.15 %
90 Citigroup
-91.60 %
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