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 "3m Co (MMM)"

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

Find The Lastest Buy Signals for MMM Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999956 Michael (#1) 52.0 23 2.3 30 82.6 %
999969 Dylan (#2) 38.2 18 2.1 42 77.8 %
999973 Ashley (#3) 34.1 36 0.9 20 77.8 %
999972 Jose (#4) 33.3 41 0.8 17 82.9 %
999973 Jessica (#5) 40.3 121 0.3 7 64.5 %
999971 Nicole (#6) 33.9 22 1.6 32 81.8 %
999975 Courtney (#7) 30.7 21 1.5 37 76.2 %
999973 Kelsey (#8) 33.9 33 1.0 20 75.8 %
999974 Erin (#9) 33.2 17 1.9 45 76.5 %
999974 Melissa (#10) 33.4 30 1.1 23 76.7 %
999978 Rebecca (#11) 29.3 22 1.3 32 72.7 %
999979 Alexis (#12) 26.2 42 0.6 17 76.2 %
999979 Charles (#13) 26.0 22 1.2 35 77.3 %
999978 Michelle (#14) 28.5 15 1.9 50 73.3 %
999977 Mark (#15) 29.0 20 1.5 37 75.0 %
999980 Allison (#16) 24.2 32 0.8 25 78.1 %
999978 Kevin (#17) 27.3 24 1.1 32 79.2 %
999980 Cody (#18) 26.8 21 1.3 35 71.4 %
999983 Cameron (#19) 23.7 27 0.9 26 66.7 %
999979 David (#20) 27.3 22 1.2 31 72.7 %
999984 Christopher (#21) 20.9 28 0.8 24 71.4 %
999981 Nicholas (#22) 24.3 30 0.8 24 73.3 %
999985 Austin (#23) 18.8 25 0.8 31 72.0 %
999986 Olivia (#24) 19.2 15 1.3 49 66.7 %
999986 Joseph (#25) 16.2 26 0.6 29 80.8 %
999982 Justin (#26) 26.0 113 0.2 7 64.6 %
999986 Maria (#27) 18.8 25 0.8 27 68.0 %
999991 Kimberly (#28) 11.2 21 0.5 37 76.2 %
999989 Brittany (#29) 12.8 34 0.4 20 73.5 %
999993 Madison (#30) 9.0 34 0.3 20 64.7 %
999992 Christina (#31) 9.6 32 0.3 21 71.9 %
999994 Kayla (#32) 7.8 38 0.2 19 68.4 %
999994 Joshua (#33) 7.1 22 0.3 35 72.7 %
999994 Anthony (#34) 6.4 40 0.2 17 75.0 %
999993 Jesse (#35) 9.0 191 0.1 5 61.3 %
999995 Alexandra (#36) 5.2 54 0.1 13 75.9 %
999996 Megan (#37) 5.1 45 0.1 16 57.8 %
999996 Benjamin (#38) 4.4 22 0.2 45 81.8 %
1000000 Mary (#39) -0.6 16 -0.1 48 68.8 %
1000000 Brianna (#40) -1.0 43 -0.0 16 72.1 %
999993 Aaron (#41) 9.0 126 0.1 6 65.9 %
999997 Chelsea (#42) 1.6 18 0.1 54 77.8 %
999999 Morgan (#43) -0.4 13 0.0 59 69.2 %
999997 Richard (#44) 3.0 12 0.3 61 58.3 %
999995 Abigail (#45) 6.3 99 0.1 8 71.7 %
999997 Alexander (#46) 3.3 66 0.1 11 75.8 %
1000001 Jordan (#47) -2.6 44 -0.1 16 70.5 %
1000002 Lauren (#48) -3.7 44 -0.1 17 65.9 %
1000000 Alyssa (#49) -1.2 27 -0.0 36 85.2 %
1000000 Adam (#50) -1.5 75 -0.0 10 68.0 %
1000003 Anna (#51) -4.8 55 -0.1 13 76.4 %
1000002 Laura (#52) -6.2 70 -0.1 11 57.1 %
1000003 John (#53) -6.5 79 -0.1 9 62.0 %
1000003 Jonathan (#54) -6.2 55 -0.1 13 65.5 %
1000004 Kaitlyn (#55) -8.1 71 -0.1 10 59.2 %
1000006 Katherine (#56) -12.2 48 -0.3 15 62.5 %
1000009 Andrew (#57) -14.8 60 -0.3 12 68.3 %
1000009 Elizabeth (#58) -13.7 13 -1.1 74 69.2 %
1000009 Amber (#59) -15.1 72 -0.2 10 66.7 %
1000013 Daniel (#60) -22.3 11 -2.0 86 63.6 %
1000018 Amanda (#61) -25.8 15 -1.7 104 73.3 %
1000015 Brian (#62) -22.4 51 -0.4 14 72.6 %
1000017 Brandon (#63) -26.3 13 -2.0 120 69.2 %
1000018 Eric (#64) -28.9 6 -4.8 262 66.7 %
1000015 Samantha (#65) -27.3 15 -1.8 54 60.0 %
1000017 Danielle (#66) -29.3 8 -3.6 195 62.5 %
1000018 Haley (#67) -29.6 8 -3.8 119 62.5 %
1000023 Juan (#68) -37.0 11 -3.4 131 63.6 %
1000023 Christian (#69) -37.9 11 -3.5 142 63.6 %
1000022 Matthew (#70) -39.9 7 -5.7 204 57.1 %
1000026 Kyle (#71) -41.2 9 -4.6 159 66.7 %
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