S&P 500 Stocks bearish high odds seasonal trades for March 2014

S&P 500 Stocks bearish high odds seasonal trades for March 2014

Four_seasons

image courtesy : ashdenizen.blogspot.com/2008/05/there-are-various-blogs-discussing.html

here are three S&P 500 Stocks that meet the following criteria of high odds seasonal trades of loosing in the month of March from seasonal perspective.

With the aid of ” Paststat Seaonality Search ” 

  • Current S&P 500 Constituents and the stock is trading since 1990 ( or with a minimum trading history of 20 years)
  • The Average loss in March is at-least -1%
  • Percentage win rate for March is less than or equal to 40% ( in other words they lost by more than 60% of the times in February)
  • Pay-Off Ratio ( defined as Avg win% divided by Avg Loss% ) more than 1

below the three most bullish S&P 500 stocks which qualifies for the bearish high odds seasonal trades for March

Symbol Company Name # # Wins % Wins Avg Avg Win # Loss Avg Loss Pay Off Max Min
ADM Archer Daniels Midland Company 24 9 38 -1.08 4.2 15 -4.25 0.99 8.3 -12.6
ORCL Oracle Corporation 24 9 38 -2.92 10.16 15 -10.77 0.94 28.03 -33.33

High Odds Seasonal Trades definitions

  • # : Total number of instances
  • Avg: Average March Monthly Returns in percentage
  • Max : Best March Monthly returns in percentage
  • Min: Worst March Monthly returns in percentage
  • # Wins : Number of winning March Months ( i’e number of months when returns are positive)
  • Avg if Win : Average % change if the returns in March month are positive
  • # Loss: Number of loosing March Months ( i’e number of months when returns are negative)
  • Avg if Loss : Average % change if the returns in March month are negative
  • % Wins: Percentage times that March Month had given positive returns.
  • Avg Win/ Avg Loss: Ratio of Average Win % divided by Average Loss% , a.k.a Pay-off Ratio.

warning ! Seasonality alone never justifies a trade all by itself, but it deserves as yet another tool in trader’s toolbox for market timing .

you might want to consider subscribing to our daily quant rants email  !!

check out Quant-Ideas  to aid the short term trader to find high probability winning trades

have you bought the Anatomy of $SPY on First Trading Day of the Month  , written the co-founder of this site, on Amazon yet ?

S&P 500 Stocks bearish high odds seasonal trades for February 2014

S&P 500 Stocks bearish high odds seasonal trades for February 2014

Four_seasons

image courtesy : ashdenizen.blogspot.com/2008/05/there-are-various-blogs-discussing.html

here are three S&P 500 Stocks that meet the following criteria of high odds seasonal trades of loosing in the month of Februrary from seasonal perspective.

With the aid of ” Paststat Seaonality Search ” 

  • Current S&P 500 Constituents and the stock is trading since 1990 ( or with a minimum trading history of 20 years)
  • The Average loss in February is at-least -2%
  • Percentage win rate for February is less than or equal to 33% ( in other words they lost 67% of the times in February)
  • Pay-Off Ratio ( defined as Avg win% divided by Avg Loss% ) more than 1

below the three most bullish S&P 500 stocks which qualifies for the bearish high odds seasonal trades for February 

Symbol Company Name # # Wins % Wins Avg Avg Win # Loss Avg Loss Pay Off Max Min
BBBY Bed Bath & Beyond Inc. 21 6 29 -2.81 5.77 15 -6.24 0.92 12.5 -11.99
MDT Medtronic, Inc. 24 8 33 -2.16 5.01 16 -5.75 0.87 17.05 -13.33

High Odds Seasonal Trades definitions

  • # : Total number of instances
  • Avg: Average February Monthly Returns in percentage
  • Max : Best February Monthly returns in percentage
  • Min: Worst February Monthly returns in percentage
  • # Wins : Number of winning February Months ( i’e number of months when returns are positive)
  • Avg if Win : Average % change if the returns in February month are positive
  • # Loss: Number of loosing February Months ( i’e number of months when returns are negative)
  • Avg if Loss : Average % change if the returns in February month are negative
  • % Wins: Percentage times that February Month had given positive returns.
  • Avg Win/ Avg Loss: Ratio of Average Win % divided by Average Loss% , a.k.a Pay-off Ratio.

warning ! Seasonality alone never justifies a trade all by itself, but it deserves as yet another tool in trader’s toolbox for market timing .

you might want to consider subscribing to our daily quant rants email  !!

check out Quant-Ideas  to aid the short term trader to find high probability winning trades

have you bought the Anatomy of $SPY on First Trading Day of the Month  , written the co-founder of this site, on Amazon yet ?

S&P 500 Stocks bearish high odds seasonal trades for January 2014

S&P 500 Stocks bearish high odds seasonal trades for January 2014

Four_seasons

image courtesy : ashdenizen.blogspot.com/2008/05/there-are-various-blogs-discussing.html

here are three S&P 500 Stocks that meet the following criteria of high odds seasonal trades of loosing in the month of January from seasonal perspective.

With the aid of ” Paststat Seaonality Search ” 

  • Current S&P 500 Constituents and the stock is trading since 1990 ( or with a minimum trading history of 20 years)
  • The Average loss in January is at-least -2%
  • Percentage win rate for January is less than or equal to 30%
  • Pay-Off Ratio ( defined as Avg win% divided by Avg Loss% ) more than 1

below the three most bullish S&P 500 stocks which qualifies for the bearish high odds seasonal trades for January 

Symbol Company Name # # Wins % Wins Avg Avg Win # Loss Avg Loss Pay Off Max Min
BF-B Brown-Forman Corporation 24 6 25 -4.09 2.69 18 -4.54 0.59 4.62 -16.12
CPB Campbell Soup Co. 24 7 29 -3.49 3.62 17 -6.42 0.56 6.92 -17.71
KO The Coca-Cola Company 24 7 29 -2.09 3.59 17 -4.43 0.81 10 -10.85
PGR Progressive Corp. 24 6 25 -4.09 7.6 18 -7.99 0.95 13.66 -26.25

High Odds Seasonal Trades definitions

  • # : Total number of instances
  • Avg: Average January Monthly Returns in percentage
  • Max : Best January Monthly returns in percentage
  • Min: Worst January Monthly returns in percentage
  • # Wins : Number of winning January Months ( i’e number of months when returns are positive)
  • Avg if Win : Average % change if the returns in January month are positive
  • # Loss: Number of loosing January Months ( i’e number of months when returns are negative)
  • Avg if Loss : Average % change if the returns in January month are negative
  • % Wins: Percentage times that January Month had given positive returns.
  • Avg Win/ Avg Loss: Ratio of Average Win % divided by Average Loss% , a.k.a Pay-off Ratio.

warning ! Seasonality alone never justifies a trade all by itself, but it deserves as yet another tool in trader’s toolbox for market timing .

you might want to consider subscribing to our daily quant rants email  !!

check out Quant-Ideas  to aid the short term trader to find high probability winning trades

have you bought the Anatomy of $SPY on First Trading Day of the Month  , written the co-founder of this site, on Amazon yet ?

S&P 500 Stocks bearish high odds seasonal trades for December

S&P 500 Stocks bearish high odds seasonal trades for December

Four_seasons

image courtesy : ashdenizen.blogspot.com/2008/05/there-are-various-blogs-discussing.html

here are four S&P 500 Stocks that meet the following criteria of high odds seasonal trades of loosing in the month of November from seasonal perspective.

With the aid of ” S&P 500 Stocks December Month Seasonality” Excel Working Sheet

  • Current S&P 500 Constituents and the stock is trading since 1990 ( or with a minimum trading history of 20 years)
  • The Average loss in December is more than1%
  • Percentage win rate for December is less than or equal to 40% , in other words the loosing rate is more than 60%
  • Pay-Off Ratio ( defined as Avg win% divided by Avg Loss% ) less  than 1

below the four most bearish S&P 500 stocks which qualifies for the “bearish  high odds seasonal trades “ for December

Symbol Company Name Month # Avg # Wins Avg if Win # Loss Avg if Loss % Wins Avg Win/ Avg Loss
BBY Best Buy Co. Inc. Dec 23 -6.24 8 12.49 15 -16.23 35 0.77
HAS Hasbro Inc. Dec 23 -1.46 9 5.47 14 -5.91 39 0.92

High Odds Seasonal Trades definitions

  • # : Total number of instances
  • Avg: Average December Monthly Returns in percentage
  • Max : Best December Monthly returns in percentage
  • Min: Worst December Monthly returns in percentage
  • # Wins : Number of winning December Months ( i’e number of months when returns are positive)
  • Avg if Win : Average % change if the returns in December month are positive
  • # Loss: Number of loosing December Months ( i’e number of months when returns are negative)
  • Avg if Loss : Average % change if the returns in December month are negative
  • % Wins: Percentage times that December Month had given positive returns.
  • Avg Win/ Avg Loss: Ratio of Average Win % divided by Average Loss% , a.k.a Pay-off Ratio.

warning ! Seasonality alone never justifies a trade all by itself, but it deserves as yet another tool in trader’s toolbox for market timing .

you might want to consider subscribing to our daily quant rants email  !

check out Quant-Ideas ( starting from $ 49.95 per month) to aid the speculators to find high probability winning trades.

S&P 500 Stocks bearish high odds seasonal trades for November

S&P 500 Stocks bearish high odds seasonal trades for November

Four_seasons

image courtesy : ashdenizen.blogspot.com/2008/05/there-are-various-blogs-discussing.html

here are four S&P 500 Stocks that meet the following criteria of high odds seasonal trades of loosing in the month of November from seasonal perspective.

With the aid of ” S&P 500 Stocks November Month Seasonality” Excel Working Sheet

  • Current S&P 500 Constituents and the stock is trading since 1990 ( or with a minimum trading history of 20 years)
  • The Average loss in November is more than 2%
  • Percentage win rate for November is less than or equal to 40% , in other words the loosing rate is more than 60%
  • Pay-Off Ratio ( defined as Avg win% divided by Avg Loss% ) less  than 1

below the four most bearish S&P 500 stocks which qualifies for the “bearish  high odds seasonal trades “ for November

Symbol Company Name # Avg Max Min # Wins Avg if Win # Loss Avg if Loss % Wins Avg Win/ Avg Loss
APA Apache Corp. 23 -3.26 7.05 -18.74 9 4.25 14 -8.09 39 0.53
DVN Devon Energy Corporation 21 -2.64 12 -13.13 8 6.48 13 -8.24 38 0.79
NE Noble Corp. 23 -4.18 25.62 -32.7 9 7.59 14 -11.75 39 0.65

High Odds Seasonal Trades definitions

  • # : Total number of instances
  • Avg: Average November Monthly Returns in percentage
  • Max : Best November Monthly returns in percentage
  • Min: Worst November Monthly returns in percentage
  • # Wins : Number of winning November Months ( i’e number of months when returns are positive)
  • Avg if Win : Average % change if the returns in November month are positive
  • # Loss: Number of loosing November Months ( i’e number of months when returns are negative)
  • Avg if Loss : Average % change if the returns in November month are negative
  • % Wins: Percentage times that November Month had given positive returns.
  • Avg Win/ Avg Loss: Ratio of Average Win % divided by Average Loss% , a.k.a Pay-off Ratio.

warning ! Seasonality alone never justifies a trade all by itself, but it deserves as yet another tool in trader’s toolbox for market timing .

you might want to consider subscribing to our daily quant rants email  !

check out Quant-Ideas ( starting from $ 49.95 per month) to aid the speculators to find high probability winning trades.

S&P 500 Stocks bearish high odds seasonal trades for October

S&P 500 Stocks bearish high odds seasonal trades for October

Four_seasons

image courtesy : ashdenizen.blogspot.com/2008/05/there-are-various-blogs-discussing.html

here are four S&P 500 Stocks that meet the following criteria of high odds seasonal trades of loosing in the month of October from seasonal perspective.

With the aid of ” S&P 500 Stocks October Month Seasonality” Excel Working Sheet

  • Current S&P 500 Constituents and the stock is trading since 1990 ( or with a minimum trading history of 20 years)
  • The Average loss in October is more than 2%
  • Percentage win rate for October is less than or equal to 40% , in other words the loosing rate is more than 60%
  • Pay-Off Ratio ( defined as Avg win% divided by Avg Loss% ) less  than 1

below the four most bearish S&P 500 stocks which qualifies for the “bearish  high odds seasonal trades “ for October

Symbol Company Name # Avg Max Min # Wins Avg if Win # Loss Avg if Loss % Wins Avg Win/ Avg Loss
HES Hess Corporation 23 -2.53 19.25 -26.65 8 6.62 15 -7.4 35 0.89
NEM Newmont Mining Corp. 23 -4.69 13.79 -32.06 7 8.38 16 -10.41 30 0.8
RTN Raytheon Co. 23 -2.03 20.21 -41.06 9 5.53 14 -6.89 39 0.8
THC Tenet Healthcare Corp. 23 -5.14 16.89 -41.92 8 8.31 15 -12.32 35 0.67

High Odds Seasonal Trades definitions

  • # : Total number of instances
  • Avg: Average October Monthly Returns in percentage
  • Max : Best October Monthly returns in percentage
  • Min: Worst October Monthly returns in percentage
  • # Wins : Number of winning October Months ( i’e number of months when returns are positive)
  • Avg if Win : Average % change if the returns in October month are positive
  • # Loss: Number of loosing October Months ( i’e number of months when returns are negative)
  • Avg if Loss : Average % change if the returns in October month are negative
  • % Wins: Percentage times that October Month had given positive returns.
  • Avg Win/ Avg Loss: Ratio of Average Win % divided by Average Loss% , a.k.a Pay-off Ratio.

warning ! Seasonality alone never justifies a trade all by itself, but it deserves as yet another tool in trader’s toolbox for market timing .

you might want to consider subscribing to our daily quant rants email  !

Subscribe to Free-1-week-trail of Quant Alerts !!

bearish high odds seasonal trades from S&P 500 Stocks for September

S&P 500 Stocks bearish high odds seasonal trades for September

Four_seasons

image courtesy : ashdenizen.blogspot.com/2008/05/there-are-various-blogs-discussing.html

here are six S&P 500 Stocks that meet the following criteria of high odds seasonal trades of loosing in the month of September from seasonal perspective.

With the aid of ” S&P 500 Stocks September Month Seasonality” Excel Working Sheet

  • Current S&P 500 Constituents and the stock is trading since 1990 ( or with a minimum trading history of 20 years)
  • The Average gain in September is less than at-least -2%
  • Percentage win rate for September is less than or equal to 30% , in other word the loosing rate is more than 70%
  • Pay-Off Ratio ( defined as Avg win% divided by Avg Loss% ) less  than 1

below the three most bearish S&P 500 stocks which qualifies for the “bearish  high odds seasonal trades “ for September

Symbol Company Name # Avg Max Min # Wins Avg if Win # Loss Avg if Loss % Wins Avg Win/ Avg Loss
NWL Newell Rubbermaid Inc. 23 -3.75 18.64 -30.34 7 8.75 16 -9.21 30 0.95
ROST Ross Stores Inc. 23 -4.33 16.46 -39.02 6 7.77 17 -8.61 26 0.9
TER Teradyne Inc. 23 -6.44 24.05 -46.01 7 8.63 16 -13.03 30 0.66

have you downloaded yet , “S&P 500 Stocks September Seasonality Excel Sheet” Excel Sheet 

High Odds Seasonal Trades definitions

  • # : Total number of instances
  • Avg: Average September Monthly Returns in percentage
  • Max : Best September Monthly returns in percentage
  • Min: Worst September Monthly returns in percentage
  • # Wins : Number of winning September Months ( i’e number of months when returns are positive)
  • Avg if Win : Average % change if the returns in September month are positive
  • # Loss: Number of loosing September Months ( i’e number of months when returns are negative)
  • Avg if Loss : Average % change if the returns in September month are negative
  • % Wins: Percentage times that September Month had given positive returns.
  • Avg Win/ Avg Loss: Ratio of Average Win % divided by Average Loss% , a.k.a Pay-off Ratio.

warning ! Seasonality alone never justifies a trade all by itself, but it deserves as yet another tool in trader’s toolbox for market timing .

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after downloading   S&P 500 Stocks September Seasonality Excel Sheet

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