Remember: The returns an asset made in the past don't mean that future returns will be the same.
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  • The Interpreter

    Hi Friend, The Interpreter here. Here are all the backtests I have performed within "Pepsico Inc (PEP)"

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    Please select the "Detailed View" button to see how it performs!

Find The Lastest Buy Signals for PEP Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999977 Jesse (#1) 30.9 98 0.3 4 69.4 %
999977 Jessica (#2) 30.3 62 0.5 6 72.6 %
999981 Amber (#3) 23.2 45 0.5 8 80.0 %
999983 Justin (#4) 21.9 61 0.4 6 72.1 %
999984 John (#5) 19.9 42 0.5 9 76.2 %
999986 Adam (#6) 17.5 44 0.4 8 75.0 %
999988 Aaron (#7) 15.9 64 0.3 6 68.8 %
999988 Andrew (#8) 14.6 33 0.5 10 75.8 %
999989 Nicholas (#9) 14.6 13 1.2 24 69.2 %
999987 Olivia (#10) 14.1 6 2.3 49 83.3 %
999992 Rebecca (#11) 11.7 8 1.5 39 62.5 %
999992 Abigail (#12) 10.0 48 0.2 8 68.8 %
999988 Kyle (#13) 12.6 6 2.2 35 83.3 %
999992 Joshua (#14) 8.3 8 1.0 30 87.5 %
999994 Brian (#15) 7.1 27 0.3 12 74.1 %
999994 Kaitlyn (#16) 7.6 36 0.2 9 66.7 %
999992 Juan (#17) 8.6 6 1.5 35 83.3 %
999992 Kimberly (#18) 7.6 7 1.1 34 85.7 %
999995 Anna (#19) 5.2 26 0.2 12 73.1 %
999995 Daniel (#20) 5.5 6 0.8 38 83.3 %
999995 Michelle (#21) 4.7 6 0.8 48 83.3 %
999995 Chelsea (#22) 4.6 6 0.8 37 83.3 %
999997 Jordan (#23) 3.1 23 0.1 14 69.6 %
999996 Jonathan (#24) 3.5 30 0.1 11 76.7 %
999996 Dylan (#25) 4.0 6 0.7 45 83.3 %
999998 Brianna (#26) 1.5 20 0.1 15 75.0 %
999997 Nicole (#27) 2.7 7 0.4 41 71.4 %
999999 Alexander (#28) 0.4 29 0.0 11 69.0 %
999998 Katherine (#29) 1.3 26 0.0 12 76.9 %
999998 Charles (#30) 1.5 6 0.2 41 83.3 %
999998 Mark (#31) 1.0 6 0.2 47 83.3 %
1000000 Alexandra (#32) -0.7 22 -0.1 13 77.3 %
1000000 Lauren (#33) -0.7 20 -0.1 17 65.0 %
1000000 Megan (#34) -1.4 22 -0.1 14 54.6 %
999999 Melissa (#35) -0.5 11 0.0 27 63.6 %
1000000 Joseph (#36) -0.7 9 -0.1 31 77.8 %
999999 Austin (#37) -0.3 7 0.0 36 71.4 %
1000000 Kayla (#38) -1.1 19 -0.1 16 68.4 %
1000000 Jose (#39) -1.0 13 -0.1 22 61.5 %
1000000 Michael (#40) -0.8 8 -0.1 36 62.5 %
1000000 Allison (#41) -1.0 7 -0.1 35 71.4 %
999999 Alyssa (#42) -0.1 6 0.0 37 83.3 %
1000000 Christina (#43) -2.1 16 -0.1 18 62.5 %
1000000 Christopher (#44) -2.1 9 -0.2 30 66.7 %
1000001 Kelsey (#45) -2.9 11 -0.3 26 63.6 %
1000000 Maria (#46) -2.3 10 -0.2 28 60.0 %
1000002 Anthony (#47) -3.9 18 -0.2 15 77.8 %
1000002 Kevin (#48) -2.9 6 -0.5 45 83.3 %
1000002 Cody (#49) -3.4 6 -0.5 45 83.3 %
1000001 Madison (#50) -4.1 13 -0.3 23 61.5 %
1000002 Ashley (#51) -6.1 7 -0.9 38 57.1 %
1000003 Brittany (#52) -6.8 11 -0.6 25 63.6 %
1000004 David (#53) -6.0 6 -1.0 46 83.3 %
1000004 Cameron (#54) -6.9 6 -1.2 44 66.7 %
1000004 Alexis (#55) -8.0 10 -0.8 27 60.0 %
1000009 Laura (#56) -15.3 28 -0.5 13 64.3 %
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