here are some more performance reports:
aapl 2005 - 2018
TradeStation Performance Summary Expand
All Trades Long Trades Short Trades
Total Net Profit $18,213.00 $16,284.00 $1,929.00
Gross Profit $70,892.00 $43,042.00 $27,850.00
Gross Loss ($52,679.00) ($26,758.00) ($25,921.00)
Profit Factor 1.35 1.61 1.07
Roll Over Credit $0.00 $0.00 $0.00
Open Position P/L $1,561.00 $0.00 $1,561.00
Total Number of Trades 1,279 701 578
Percent Profitable 35.42% 37.52% 32.87%
Winning Trades 453 263 190
Losing Trades 819 434 385
Even Trades 7 4 3
Avg. Trade Net Profit $14.24 $23.23 $3.34
Avg. Winning Trade $156.49 $163.66 $146.58
Avg. Losing Trade ($64.32) ($61.65) ($67.33)
Ratio Avg. Win:Avg. Loss 2.43 2.65 2.18
Largest Winning Trade $2,040.00 $2,040.00 $1,496.00
Largest Losing Trade ($1,044.00) ($1,044.00) ($548.00)
Max. Shares/Contracts Held 100 100 100
Total Shares/Contracts Held 128,000 70,100 57,900
Account Size Required $4,617.00 $2,608.00 $2,759.00
Total Slippage $5,116.00 $2,804.00 $2,312.00
Total Commission $2,558.00 $1,402.00 $1,156.00
the buy and hold returns of 100 aapl shares from 2005 to this day would be something like 16,000 usd in profit. however, buying and holding would have gone through a number of awful periods where aapl has been sold down significantly and a 100 share position would have given back more than 4,000 usd in paper profits each time. my strategy generates superior returns with far smaller largest losses to buying and holding even when it does not include the instructions for all positions to be closed before each earnings announcement.
but well, people who don't know anything about automated strategies or rules based trading but still feel like running their mouths could still not be convinced. the price of aapl was bought higher by almost 4,000% from 6 to 230+ usd which would have helped a lot of non performing strategies pass a superficial examination, but ¿what about symbols that have gone nowhere like ge?
ge 2005 - 2018
TradeStation Performance Summary Expand
All Trades Long Trades Short Trades
Total Net Profit $2,899.00 $140.00 $2,759.00
Gross Profit $8,647.00 $3,458.00 $5,189.00
Gross Loss ($5,748.00) ($3,318.00) ($2,430.00)
Profit Factor 1.50 1.04 2.14
Roll Over Credit $0.00 $0.00 $0.00
Open Position P/L $474.00 $0.00 $474.00
Total Number of Trades 136 73 63
Percent Profitable 36.76% 36.99% 36.51%
Winning Trades 50 27 23
Losing Trades 86 46 40
Even Trades 0 0 0
Avg. Trade Net Profit $21.32 $1.92 $43.79
Avg. Winning Trade $172.94 $128.07 $225.61
Avg. Losing Trade ($66.84) ($72.13) ($60.75)
Ratio Avg. Win:Avg. Loss 2.59 1.78 3.71
Largest Winning Trade $993.00 $421.00 $993.00
Largest Losing Trade ($336.00) ($336.00) ($298.00)
Max. Shares/Contracts Held 100 100 100
Total Shares/Contracts Held 13,700 7,300 6,400
Account Size Required $793.00 $824.00 $773.00
Total Slippage $272.00 $146.00 $126.00
Total Commission $272.00 $146.00 $126.00
my solid, robust, profitable strategy would have returned very handsome profits in ge, even when buying and holding would have been absolutely destroyed. ge went from 36 usd in 2005 to less than 8 today with very modest volatility over this period and my strategy was still able to ride the wave for a significant profit.
and here are some performance reports for other strategies i have developed:
aapl 2005 - 2018 strategy -"b"-
TradeStation Performance Summary Expand
All Trades Long Trades Short Trades
Total Net Profit $12,931.00 $11,057.00 $1,874.00
Gross Profit $18,415.00 $13,175.00 $5,240.00
Gross Loss ($5,484.00) ($2,118.00) ($3,366.00)
Profit Factor 3.36 6.22 1.56
Roll Over Credit $0.00 $0.00 $0.00
Open Position P/L $5,934.00 $5,934.00 $0.00
Total Number of Trades 30 13 17
Percent Profitable 50.00% 69.23% 35.29%
Winning Trades 15 9 6
Losing Trades 15 4 11
Even Trades 0 0 0
Avg. Trade Net Profit $431.03 $850.54 $110.24
Avg. Winning Trade $1,227.67 $1,463.89 $873.33
Avg. Losing Trade ($365.60) ($529.50) ($306.00)
Ratio Avg. Win:Avg. Loss 3.36 2.76 2.85
Largest Winning Trade $4,676.00 $4,676.00 $1,652.00
Largest Losing Trade ($1,698.00) ($1,698.00) ($1,286.00)
Max. Shares/Contracts Held 100 100 100
Total Shares/Contracts Held 3,100 1,400 1,700
Account Size Required $1,922.00 $1,764.00 $1,568.00
Total Slippage $120.00 $52.00 $68.00
Total Commission $60.00 $26.00 $34.00
aapl 2005 - 2018 strategy -"c"-
TradeStation Performance Summary Expand
All Trades Long Trades Short Trades
Total Net Profit $15,902.00 $17,156.00 ($1,254.00)
Gross Profit $57,321.00 $38,928.00 $18,393.00
Gross Loss ($41,419.00) ($21,772.00) ($19,647.00)
Profit Factor 1.38 1.79 0.94
Roll Over Credit $0.00 $0.00 $0.00
Open Position P/L $1,463.00 $0.00 $1,463.00
Total Number of Trades 684 415 269
Percent Profitable 42.25% 44.82% 38.29%
Winning Trades 289 186 103
Losing Trades 393 227 166
Even Trades 2 2 0
Avg. Trade Net Profit $23.25 $41.34 ($4.66)
Avg. Winning Trade $198.34 $209.29 $178.57
Avg. Losing Trade ($105.39) ($95.91) ($118.36)
Ratio Avg. Win:Avg. Loss 1.88 2.18 1.51
Largest Winning Trade $2,271.00 $2,271.00 $1,291.00
Largest Losing Trade ($1,246.00) ($1,246.00) ($610.00)
Max. Shares/Contracts Held 100 100 100
Total Shares/Contracts Held 68,500 41,500 27,000
Account Size Required $4,002.00 $2,669.00 $4,247.00
Total Slippage $2,736.00 $1,660.00 $1,076.00
Total Commission $1,368.00 $830.00 $538.00
like i initially wrote, i have several (10+) strategies, like these 3 i have showcased, that make money consistently while trying to ride the wave and keeping risk capped, even when evaluated on positions in shares, not options. i can't post so much text and images in a forum as it would require to document these methods extensively, but those are the materials i have been sending by email to the people who have contacted me.
in conclusion, i have been doing a lot of thinking this week and it seems to me that the best thing i can do will be to get a regular job, with the primary objective of getting used to performing consistently during the morning hours again. a number of programmers that have contacted me have assured me that it is possible to automate strategies on options, so i will be leaning on their expertise and learning how to adapt my strategies to much more demanding programming languages like python, c and c#. once i have managed to get used to a daylight schedule again, trading my strategies as a side hustle, either by hand or with a fully automated setup is something that won't be a problem at all.