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Profitability Per Trade Average Ranking for 2009

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
91 Credit Suisse
9.51 %
92 Soleil
8.96 %
93 Deutsche Bank
7.44 %
94 WBB Securities
4.15 %
95 FBR Capital
1.91 %
96 Stifel Nicolaus
0.72 %
97 Keefe Bruyette
0.57 %
98 Barclays Capital
-0.61 %
99 RBC Capital Mkts
-2.02 %
100 FBR Capital Markets
-5.04 %
101 Auriga U.S.A
-5.55 %
102 Matrix Research
-11.88 %
103 HSBC Securities
-15.93 %
104 CapitalOne southcoast
-17.95 %
105 Raymond James
-29.14 %
106 Forbes: 17 Stocks for 2009
-31.66 %
107 Hapoalim
-35.30 %
108 Fox Pitt
-36.65 %
109 Argus
-41.79 %
110 DA Davidson
-69.47 %
111 Citigroup
-88.17 %
112 Howard Weil
-214.48 %
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