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
999967 Aaron (#1) 43.4 98 0.4 7 73.5 %
999978 Amber (#2) 30.0 64 0.5 10 68.8 %
999959 Nicholas (#3) 62.1 23 2.7 30 65.2 %
999971 Kayla (#4) 39.7 27 1.5 25 70.4 %
999971 Nicole (#5) 40.9 16 2.6 42 68.8 %
999985 Adam (#6) 20.2 58 0.3 11 72.4 %
999985 Jessica (#7) 19.8 92 0.2 7 69.6 %
999995 Abigail (#8) 6.2 72 0.1 9 69.4 %
999974 Christina (#9) 36.4 24 1.5 29 70.8 %
999998 Justin (#10) 1.5 93 0.0 7 61.3 %
999985 Brandon (#11) 19.3 7 2.7 122 71.4 %
999983 Melissa (#12) 27.1 20 1.4 33 60.0 %
999993 James (#13) 7.3 6 1.2 133 83.3 %
999987 Brianna (#14) 16.7 29 0.6 23 72.4 %
999994 Anna (#15) 7.2 34 0.2 20 70.6 %
999986 Jordan (#16) 18.5 32 0.6 22 68.8 %
999988 Madison (#17) 15.7 23 0.7 30 69.6 %
999998 Andrew (#18) 1.2 45 0.0 15 68.9 %
999996 Brian (#19) 4.3 34 0.1 19 67.7 %
1000003 Kyle (#20) -4.7 10 -0.5 83 80.0 %
1000002 Chelsea (#21) -3.9 8 -0.5 94 75.0 %
999989 Kelsey (#22) 15.0 22 0.7 32 68.2 %
1000012 Kimberly (#23) -16.9 12 -1.4 67 75.0 %
999998 Daniel (#24) 1.0 7 0.1 106 71.4 %
1000007 Haley (#25) -14.3 7 -2.0 119 57.1 %
1000000 Amanda (#26) -1.5 7 -0.1 121 57.1 %
1000009 Emily (#27) -11.9 6 -2.0 140 83.3 %
1000015 Joshua (#28) -22.1 14 -1.6 58 71.4 %
1000001 Laura (#29) -2.9 64 -0.1 11 59.4 %
1000010 John (#30) -17.8 61 -0.3 11 62.3 %
1000006 Kaitlyn (#31) -12.1 57 -0.2 12 59.7 %
1000000 Jose (#32) -1.4 22 -0.1 32 68.2 %
999996 Katherine (#33) 4.5 37 0.1 18 70.3 %
1000002 Anthony (#34) -3.9 28 -0.1 25 71.4 %
1000012 Elizabeth (#35) -22.5 7 -3.1 115 57.1 %
1000010 Jesse (#36) -18.2 150 -0.1 5 59.3 %
1000015 Juan (#37) -23.5 10 -2.3 83 70.0 %
1000012 Nathan (#38) -18.7 6 -3.2 137 66.7 %
999998 Michael (#39) 1.7 13 0.2 52 61.5 %
1000019 Alexander (#40) -29.8 37 -0.8 18 67.6 %
999995 Maria (#41) 6.0 18 0.3 38 66.7 %
1000007 Alexandra (#42) -12.2 29 -0.4 25 69.0 %
1000021 Morgan (#43) -38.9 7 -5.6 125 57.1 %
1000018 Benjamin (#44) -31.8 10 -3.2 75 60.0 %
999997 Christopher (#45) 3.4 17 0.2 40 64.7 %
1000016 Matthew (#46) -29.4 7 -4.1 118 57.1 %
1000001 Megan (#47) -3.5 34 -0.1 19 70.6 %
1000000 David (#48) -1.5 15 -0.1 46 66.7 %
1000012 Olivia (#49) -23.6 9 -2.7 89 55.6 %
1000018 Jonathan (#50) -30.3 42 -0.7 16 61.9 %
1000008 Brittany (#51) -13.1 19 -0.7 36 68.4 %
1000028 Joseph (#52) -43.1 21 -2.1 35 66.7 %
1000027 Allison (#53) -42.8 14 -3.1 52 64.3 %
1000023 Kevin (#54) -42.2 16 -2.6 46 56.3 %
1000031 Courtney (#55) -57.9 9 -6.4 80 55.6 %
1000034 Mark (#56) -49.1 14 -3.5 53 71.4 %
1000032 Charles (#57) -59.0 9 -6.6 79 55.6 %
1000020 Lauren (#58) -33.8 31 -1.1 22 61.3 %
1000029 Cody (#59) -41.4 15 -2.7 48 73.3 %
1000031 Austin (#60) -57.9 11 -5.3 66 54.6 %
1000036 Alexis (#61) -53.6 26 -2.1 28 69.2 %
1000031 Ashley (#62) -48.7 20 -2.5 36 65.0 %
1000021 Michelle (#63) -37.5 10 -3.7 74 60.0 %
1000033 Cameron (#64) -49.5 16 -3.1 45 68.8 %
1000034 Rebecca (#65) -65.0 13 -5.0 51 53.9 %
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