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 "Xcel Energy Inc (XEL)"

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

Find The Lastest Buy Signals for XEL Below.



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Algorithms Results since Jan/2010


  to  
Sort Factor Algorithm % Result # Trades % Result/Trade Days/Trade Hit % Detailed View
999957 Nathan (#1) 46.5 9 5.2 65 88.9 %
999963 Eric (#2) 40.8 8 5.1 67 87.5 %
999966 Samantha (#3) 38.9 7 5.6 69 85.7 %
999970 Robert (#4) 35.2 6 5.8 85 83.3 %
999971 Rachel (#5) 33.4 7 4.7 82 85.7 %
999975 Patrick (#6) 31.9 8 4.0 64 75.0 %
999972 Hannah (#7) 30.8 7 4.4 73 85.7 %
999972 Richard (#8) 30.6 7 4.4 69 85.7 %
999974 Danielle (#9) 28.0 9 3.1 59 88.9 %
999976 Heather (#10) 28.0 6 4.7 83 83.3 %
999974 Matthew (#11) 28.4 11 2.6 52 90.9 %
999974 Kyle (#12) 26.9 13 2.1 45 92.3 %
999978 Mary (#13) 25.5 10 2.6 52 80.0 %
999976 Morgan (#14) 25.5 8 3.3 64 87.5 %
999976 Christian (#15) 25.2 10 2.5 53 90.0 %
999976 Juan (#16) 23.8 16 1.5 37 93.8 %
999982 Ryan (#17) 24.9 6 4.2 94 66.7 %
999979 Jacob (#18) 24.4 6 4.0 82 83.3 %
999979 Haley (#19) 22.9 7 3.3 69 85.7 %
999982 Emily (#20) 20.2 7 2.9 72 85.7 %
999983 Daniel (#21) 20.2 9 2.2 55 77.8 %
999983 Amanda (#22) 17.7 17 1.1 32 88.2 %
999983 Aaron (#23) 20.2 98 0.2 6 77.6 %
999985 Brandon (#24) 16.6 13 1.3 41 84.6 %
999988 Jesse (#25) 17.8 142 0.1 5 62.7 %
999990 Kimberly (#26) 12.3 12 1.0 43 75.0 %
999992 Joshua (#27) 9.8 15 0.7 35 73.3 %
999993 Olivia (#28) 10.8 7 1.6 68 57.1 %
999993 Elizabeth (#29) 9.8 7 1.4 70 57.1 %
999987 Abigail (#30) 13.9 79 0.2 8 82.3 %
999994 Allison (#31) 7.1 21 0.3 23 71.4 %
999995 Austin (#32) 6.5 16 0.4 30 62.5 %
999994 Chelsea (#33) 7.2 9 0.8 56 66.7 %
999995 Erin (#34) 6.6 8 0.9 60 62.5 %
999998 Charles (#35) 2.4 13 0.2 37 61.5 %
999996 Anna (#36) 4.0 42 0.1 13 81.0 %
999996 Jessica (#37) 4.5 84 0.1 8 67.9 %
999998 Courtney (#38) 0.7 9 0.1 54 66.7 %
999997 Adam (#39) 3.1 61 0.1 9 80.3 %
1000000 Alexandra (#40) -0.7 30 -0.0 18 70.0 %
1000000 Benjamin (#41) -0.7 12 -0.1 42 75.0 %
1000000 Anthony (#42) -1.1 27 -0.0 19 70.4 %
1000001 Alyssa (#43) -2.9 13 -0.2 39 69.2 %
1000000 Rebecca (#44) -1.9 11 -0.2 42 54.6 %
999997 Amber (#45) 2.3 65 0.0 9 80.0 %
1000000 Christina (#46) -1.2 22 -0.1 22 63.6 %
999999 Laura (#47) -0.5 50 0.0 12 68.0 %
1000001 Ashley (#48) -2.6 20 -0.2 22 65.0 %
1000002 Alexander (#49) -3.6 44 -0.1 13 79.6 %
1000001 Jonathan (#50) -1.7 42 -0.1 14 76.2 %
1000002 Christopher (#51) -4.6 17 -0.3 26 58.8 %
1000002 Alexis (#52) -5.0 26 -0.2 19 69.2 %
1000003 Madison (#53) -7.2 22 -0.3 23 54.6 %
1000004 Brianna (#54) -7.1 27 -0.3 19 70.4 %
1000003 Brittany (#55) -7.3 20 -0.4 24 60.0 %
1000004 Andrew (#56) -6.1 48 -0.1 12 75.0 %
1000005 Brian (#57) -8.1 37 -0.2 15 78.4 %
1000002 Justin (#58) -5.3 81 -0.1 8 64.2 %
1000003 Melissa (#59) -7.9 18 -0.4 28 55.6 %
1000005 Cameron (#60) -8.7 14 -0.6 33 64.3 %
1000006 Jordan (#61) -9.5 32 -0.3 16 68.8 %
1000005 Jose (#62) -9.2 24 -0.4 21 66.7 %
1000005 Kelsey (#63) -10.3 18 -0.6 27 55.6 %
1000006 Kaitlyn (#64) -9.9 50 -0.2 12 66.0 %
1000007 John (#65) -11.1 56 -0.2 11 71.4 %
1000008 Katherine (#66) -12.0 37 -0.3 15 73.0 %
1000009 Lauren (#67) -14.0 32 -0.4 18 68.8 %
1000007 Kayla (#68) -13.4 25 -0.5 20 64.0 %
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