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) 42.4 67 0.6 7 76.1 %
999975 Melissa (#2) 38.3 14 2.7 30 64.3 %
999987 Amber (#3) 17.9 45 0.4 10 68.9 %
999972 Brianna (#4) 35.5 21 1.7 20 76.2 %
999968 Nicholas (#5) 42.0 15 2.8 29 73.3 %
999983 Adam (#6) 22.1 42 0.5 11 73.8 %
999968 Christina (#7) 40.0 18 2.2 25 77.8 %
999978 Madison (#8) 27.7 16 1.8 26 75.0 %
999979 Nicole (#9) 28.0 10 2.8 42 70.0 %
999992 Abigail (#10) 9.9 52 0.2 9 71.2 %
999980 Anthony (#11) 24.6 20 1.3 24 75.0 %
999973 Brittany (#12) 34.9 16 2.2 28 75.0 %
999987 Anna (#13) 15.9 23 0.7 19 73.9 %
999988 Brian (#14) 14.5 24 0.6 18 70.8 %
999981 David (#15) 24.1 12 2.0 39 75.0 %
999988 Alexandra (#16) 15.4 21 0.7 22 71.4 %
999980 Christopher (#17) 26.0 14 1.9 33 71.4 %
999986 Kelsey (#18) 18.5 16 1.2 28 68.8 %
999984 Maria (#19) 21.2 13 1.6 33 69.2 %
999988 Michael (#20) 17.2 9 1.9 49 66.7 %
999997 Andrew (#21) 3.4 32 0.1 14 68.8 %
999981 Kayla (#22) 23.5 17 1.4 25 76.5 %
999996 Jose (#23) 5.4 16 0.3 29 68.8 %
999998 Laura (#24) 1.2 43 0.0 10 58.1 %
999980 Megan (#25) 23.8 22 1.1 20 77.3 %
1000000 Rebecca (#26) -0.6 9 -0.1 47 66.7 %
999995 Jessica (#27) 6.4 62 0.1 7 74.2 %
1000006 Mark (#28) -8.9 10 -0.9 51 80.0 %
999993 Michelle (#29) 8.8 7 1.3 72 71.4 %
1000009 Alexander (#30) -13.9 26 -0.5 17 69.2 %
999998 Cody (#31) 0.8 12 0.1 41 83.3 %
1000006 Dylan (#32) -12.4 8 -1.5 62 62.5 %
1000006 Olivia (#33) -11.0 6 -1.8 96 66.7 %
1000000 Cameron (#34) -1.4 12 -0.1 41 75.0 %
1000007 Kevin (#35) -13.6 11 -1.3 45 54.6 %
1000010 Joseph (#36) -17.5 13 -1.4 38 61.5 %
1000006 Ashley (#37) -10.3 15 -0.7 33 66.7 %
999995 Jordan (#38) 4.9 21 0.2 21 71.4 %
1000014 Jesse (#39) -25.1 91 -0.3 5 61.5 %
1000000 Katherine (#40) -2.2 23 -0.1 19 69.6 %
1000016 Alexis (#41) -24.8 19 -1.3 26 68.4 %
1000010 Kaitlyn (#42) -18.9 39 -0.5 11 56.4 %
1000000 Lauren (#43) -1.2 19 -0.1 22 63.2 %
1000013 John (#44) -24.0 41 -0.6 10 58.5 %
1000017 Justin (#45) -29.0 63 -0.5 7 63.5 %
1000025 Joshua (#46) -41.0 8 -5.1 67 62.5 %
1000028 Kimberly (#47) -43.9 6 -7.3 88 66.7 %
1000032 Courtney (#48) -50.4 6 -8.3 84 66.7 %
1000023 Allison (#49) -36.5 9 -4.0 57 66.7 %
1000021 Alyssa (#50) -39.0 7 -5.6 76 57.1 %
1000017 Jonathan (#51) -31.3 26 -1.2 17 57.7 %
1000030 Benjamin (#52) -43.1 7 -6.1 76 71.4 %
1000027 Austin (#53) -44.9 8 -5.6 63 62.5 %
1000033 Charles (#54) -51.2 6 -8.5 82 66.7 %
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