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 "Twitter Inc (TWTR)"

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

Find The Lastest Buy Signals for TWTR Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999941 Nicholas (#1) 76.0 21 3.6 28 76.2 %
999947 Brianna (#2) 64.9 29 2.2 20 79.3 %
999952 Madison (#3) 60.4 23 2.6 25 78.3 %
999944 Christina (#4) 70.4 23 3.0 26 78.3 %
999966 Melissa (#5) 50.0 20 2.5 29 65.0 %
999980 Aaron (#6) 26.6 92 0.3 7 70.7 %
999946 Brittany (#7) 65.7 21 3.1 28 81.0 %
999957 Anthony (#8) 52.1 26 2.0 23 80.8 %
999951 Christopher (#9) 60.2 20 3.0 30 80.0 %
999964 Nicole (#10) 44.7 14 3.2 39 78.6 %
999960 Kelsey (#11) 51.1 22 2.3 27 77.3 %
999957 David (#12) 51.8 16 3.3 38 81.3 %
999951 Maria (#13) 61.3 19 3.2 30 79.0 %
999944 Megan (#14) 70.2 33 2.1 18 78.8 %
999975 Brian (#15) 35.8 32 1.1 19 65.6 %
999987 Adam (#16) 17.1 56 0.3 11 67.9 %
999971 Alexandra (#17) 37.1 28 1.3 22 75.0 %
999989 Amber (#18) 15.3 61 0.3 10 67.2 %
999974 Anna (#19) 34.1 31 1.1 19 74.2 %
999958 Kayla (#20) 52.4 24 2.2 24 79.2 %
999971 Rebecca (#21) 40.3 13 3.1 43 69.2 %
999968 Jose (#22) 39.8 22 1.8 28 77.3 %
999974 Michael (#23) 33.2 13 2.5 44 76.9 %
999981 Laura (#24) 29.7 59 0.5 11 61.0 %
999994 Abigail (#25) 6.6 72 0.1 9 70.8 %
999980 Mark (#26) 22.1 14 1.6 46 85.7 %
999966 Michelle (#27) 41.4 10 4.1 64 80.0 %
999983 Dylan (#28) 20.7 12 1.8 53 75.0 %
999994 Andrew (#29) 7.6 42 0.2 15 64.3 %
999969 Cameron (#30) 36.4 17 2.1 38 82.4 %
999974 Cody (#31) 29.2 16 1.8 39 87.5 %
999990 Joseph (#32) 13.0 18 0.7 35 72.2 %
1000000 Alexander (#33) -2.2 35 -0.1 17 68.6 %
999990 Kevin (#34) 12.7 15 0.9 42 66.7 %
999987 Ashley (#35) 17.1 20 0.9 32 70.0 %
999975 Jordan (#36) 31.6 29 1.1 21 75.9 %
999981 Brandon (#37) 23.1 9 2.6 88 77.8 %
999983 Amanda (#38) 21.2 9 2.3 87 77.8 %
999971 Lauren (#39) 41.0 29 1.4 21 69.0 %
1000002 Olivia (#40) -3.5 7 -0.6 89 71.4 %
999982 Christian (#41) 20.0 7 2.9 112 85.7 %
999983 Katherine (#42) 22.6 33 0.7 19 69.7 %
999993 Nathan (#43) 7.2 6 1.2 110 83.3 %
1000002 Alexis (#44) -3.7 24 -0.2 27 70.8 %
1000010 Jessica (#45) -16.6 84 -0.2 8 65.5 %
1000006 Kimberly (#46) -9.1 10 -0.9 67 80.0 %
999993 Kyle (#47) 6.7 9 0.8 75 88.9 %
999994 Matthew (#48) 6.3 7 0.9 95 85.7 %
1000012 Richard (#49) -23.3 7 -3.3 89 57.1 %
1000009 Joshua (#50) -12.6 12 -1.1 56 75.0 %
999999 James (#51) -0.4 6 0.0 108 83.3 %
1000000 Daniel (#52) -1.1 7 -0.1 94 85.7 %
1000012 Haley (#53) -18.7 6 -3.2 109 66.7 %
1000007 Benjamin (#54) -9.5 12 -0.8 56 83.3 %
1000018 Morgan (#55) -28.3 6 -4.7 111 66.7 %
1000011 Juan (#56) -15.4 9 -1.7 75 77.8 %
1000007 Kaitlyn (#57) -13.6 56 -0.3 11 57.1 %
1000006 Allison (#58) -9.9 14 -0.7 47 71.4 %
1000015 Erin (#59) -24.5 6 -4.0 105 66.7 %
1000014 Elizabeth (#60) -21.7 6 -3.7 107 66.7 %
1000005 Alyssa (#61) -8.1 12 -0.7 56 75.0 %
1000012 Mary (#62) -20.2 8 -2.5 84 62.5 %
1000003 Chelsea (#63) -4.6 9 -0.6 75 88.9 %
1000008 Emily (#64) -10.8 6 -1.8 111 83.3 %
1000010 Austin (#65) -13.8 13 -1.1 50 76.9 %
1000010 Charles (#66) -13.0 11 -1.2 58 81.8 %
1000021 Jesse (#67) -36.7 134 -0.3 5 58.2 %
1000006 Jonathan (#68) -12.5 37 -0.3 17 56.8 %
1000023 Courtney (#69) -29.9 10 -3.0 64 80.0 %
1000015 John (#70) -27.1 59 -0.5 10 57.6 %
1000023 Justin (#71) -39.6 85 -0.5 8 58.8 %
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