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 "Ventas Inc (VTR)"

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

Find The Lastest Buy Signals for VTR Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999970 Alyssa (#1) 35.7 35 1.0 27 80.0 %
999980 Chelsea (#2) 25.2 22 1.1 39 77.3 %
999981 Haley (#3) 25.5 13 2.0 66 69.2 %
999982 Ryan (#4) 20.9 6 3.5 144 83.3 %
999987 Rebecca (#5) 19.0 26 0.7 36 61.5 %
999987 Richard (#6) 17.6 13 1.4 64 69.2 %
999983 Emily (#7) 21.1 12 1.8 75 75.0 %
999987 Daniel (#8) 18.2 15 1.2 59 66.7 %
999986 Eric (#9) 17.4 8 2.1 117 75.0 %
999990 Amanda (#10) 11.0 18 0.6 52 77.8 %
999990 Heather (#11) 10.7 6 1.8 156 83.3 %
999990 Matthew (#12) 11.3 13 0.9 68 84.6 %
999986 Benjamin (#13) 16.1 23 0.7 37 78.3 %
999994 Rachel (#14) 5.5 7 0.9 122 85.7 %
999993 Brandon (#15) 7.0 15 0.5 62 80.0 %
1000000 Morgan (#16) -1.3 11 -0.1 78 54.6 %
999993 Danielle (#17) 7.2 10 0.7 93 80.0 %
999997 Christian (#18) 3.5 11 0.3 85 72.7 %
999995 Joshua (#19) 6.0 22 0.3 38 63.6 %
999997 Juan (#20) 2.0 17 0.1 53 82.4 %
999997 Erin (#21) 1.8 17 0.1 49 76.5 %
999997 Elizabeth (#22) 3.4 15 0.2 56 66.7 %
999998 Allison (#23) 2.0 35 0.1 27 74.3 %
1000001 Jason (#24) -3.1 6 -0.5 147 66.7 %
999998 Samantha (#25) 0.8 15 0.1 58 60.0 %
999972 Laura (#26) 42.7 93 0.5 11 63.4 %
1000002 Kyle (#27) -4.1 13 -0.3 69 76.9 %
1000001 Nathan (#28) -3.2 10 -0.3 87 80.0 %
1000000 Austin (#29) -1.4 30 -0.0 31 73.3 %
1000006 Sarah (#30) -10.0 6 -1.7 132 66.7 %
1000005 Kimberly (#31) -9.1 20 -0.5 42 65.0 %
1000009 Jesse (#32) -16.1 255 -0.1 5 62.4 %
1000001 Charles (#33) -3.2 25 -0.1 38 68.0 %
999996 Jose (#34) 3.8 47 0.1 21 78.7 %
999975 Justin (#35) 38.1 143 0.3 8 62.2 %
1000009 Mary (#36) -14.5 16 -0.9 53 68.8 %
1000003 Dylan (#37) -7.4 19 -0.4 49 57.9 %
999992 Anthony (#38) 9.1 55 0.2 18 72.7 %
1000001 Courtney (#39) -2.9 18 -0.2 46 66.7 %
1000006 Jessica (#40) -10.7 149 -0.1 7 63.1 %
999991 Alexandra (#41) 11.5 63 0.2 16 73.0 %
1000006 Alexis (#42) -10.0 48 -0.2 20 68.8 %
1000006 James (#43) -11.2 6 -1.8 147 66.7 %
999990 Anna (#44) 11.6 66 0.2 15 74.2 %
1000013 Hannah (#45) -17.7 9 -2.0 99 77.8 %
1000004 Olivia (#46) -8.5 14 -0.6 59 64.3 %
999985 Andrew (#47) 19.5 78 0.3 13 68.0 %
1000010 Cameron (#48) -14.6 31 -0.5 31 71.0 %
999998 Abigail (#49) 0.8 130 0.0 8 69.2 %
999980 Katherine (#50) 27.1 65 0.4 15 69.2 %
999994 John (#51) 6.9 92 0.1 11 65.2 %
1000014 Ashley (#52) -21.9 36 -0.6 27 69.4 %
1000013 Joseph (#53) -22.0 27 -0.8 33 63.0 %
999986 Jonathan (#54) 18.3 71 0.3 14 70.4 %
999988 Brian (#55) 15.6 64 0.3 15 70.3 %
1000019 Cody (#56) -30.0 26 -1.2 36 65.4 %
1000004 Jordan (#57) -6.5 64 -0.1 15 78.1 %
1000004 Brittany (#58) -7.2 39 -0.2 25 66.7 %
1000008 Christopher (#59) -13.5 28 -0.5 35 67.9 %
1000009 Melissa (#60) -17.2 36 -0.5 26 61.1 %
1000010 Maria (#61) -17.7 29 -0.6 34 62.1 %
1000001 Christina (#62) -2.6 40 -0.1 24 70.0 %
1000004 Madison (#63) -7.1 42 -0.2 23 71.4 %
1000014 Mark (#64) -26.5 19 -1.4 46 57.9 %
1000009 Adam (#65) -14.2 95 -0.2 11 70.5 %
1000000 Lauren (#66) -1.1 55 -0.0 18 65.5 %
1000015 Kevin (#67) -23.8 23 -1.0 38 65.2 %
1000015 Jacob (#68) -24.7 8 -3.1 109 62.5 %
1000001 Alexander (#69) -3.1 83 -0.0 12 72.3 %
1000007 Brianna (#70) -12.4 52 -0.2 19 69.2 %
1000015 Michael (#71) -23.2 26 -0.9 37 69.2 %
1000011 Aaron (#72) -17.6 166 -0.1 7 68.7 %
1000012 Kelsey (#73) -19.0 36 -0.5 27 69.4 %
1000019 David (#74) -29.2 26 -1.1 37 69.2 %
1000003 Amber (#75) -6.1 95 -0.1 11 68.4 %
1000001 Kaitlyn (#76) -2.8 84 -0.0 12 67.9 %
1000012 Kayla (#77) -17.8 53 -0.3 18 69.8 %
1000019 Michelle (#78) -33.1 15 -2.2 58 60.0 %
1000015 Megan (#79) -26.0 58 -0.5 17 60.3 %
1000026 Nicole (#80) -46.1 22 -2.1 43 59.1 %
1000034 Nicholas (#81) -58.8 40 -1.5 24 60.0 %
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