As promised, I carried out my comparison backtest of my original exit strategy (ORIG) vs. first profitable close (FPC) on CBOE going all the way back to its IPO in 2014 and I was not terribly surprised by the results. FPC is definitely the way to go on CBOE, in particular.
Overall, the success rates of the 2 exit strategies paired with identical algo-driven entries, were virtually identical from a win/loss perspective.
ORIG = 372-3* (all 3 “losers” were opened since Oct. 30th)
FPC = 373-2* (same as above)
So win rates of 99.2% and 99.5% are virtually identical. Given that this stock isn’t especially volatile, the similarity between the two isn’t surprising.
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From an average gain perspective, ORIG wins handily, as I also expected.
Average gain (ORIG vs. FPC) = 2.87% vs. 1.10%
Median gain (ORIG vs. FPC) = 2.41% vs. 0.83%
Either way you look at it, ORIG’s profit per trade was about 2.5-3x FPC. That might make you conclude ORIG is better, but you have to dig a little deeper to see why FPC wins, and it isn’t close, in terms of how I trade.
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Average holding period per lot in # of trading days:
ORIG = 27.4 days
FPC = 7.3 days
Median hold periods:
ORIG = 10 days
FPC = 1 days
Those median numbers are not misprints. Out of 375 trades over about 10 years, 57% closed profitably in 1 day and 90% closed profitably in 9 or fewer days with FPC. So FPC returns capital to work almost 4x faster, on average, and 10x faster based on the median trade. ______________________________________________________
The truest test is the % return/lot/day held. Again, this combines both how much an average trade made with how long it took to make that return. For comparison, the long term average return of the S&P 500 is around 10.5% per year, which is a return per trading day of .042%,
ORIG return/lot/day held = .105%
ORIG return/lot/day held = .151%
FPCs per day return is about 50% higher than ORIG, even though ORIG had much higher return per trade, because FPCs trades closed so much faster. By the way, those per day returns of almost 4x the S&P daily return are for a stock whose Beta has never been above .75 in its entire 10-year history.
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Finally, and not inconsequentially, comparing the max and average number of units of capital tied up here also favors FPC.
ORIG = 13 max / 4.39 average
FPC = 10 max / 2.34 average
Max capital outlay always occurs during big drawdowns with my trading method, so reducing max and average capital outlay essentially equates with smaller drawdowns. Reduced downside portfolio volatility is ALWAYS desirable. The max outlay isn’t as different here as it is in some stocks, simply because CBOE is so much less volatile than most and the big drawdown here was a "straight down" kind of drop.
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I think FPC shines brightest in times of high volatility, or in stocks that are inherently more volatile, so for comparison, I did a similar backtest for a very volatile stock that I trade (IREN).
With IREN, FPC had a daily return of .197%, a 50% better value than ORIG, with its median hold period being 2 days. That’s a nearly 4x better daily return than the B/H return for the S&P in a stock that is down almost 61% since its IPO (same as the backtest period).
Also, with the more volatile stock, the value of better capital outlay metrics is even clearer - ORIG would have also made money, but required a max of 35 units and an average of 17.5 units of capital (in a stock that is only 3 years old and has never even been through a macro crisis), while FPC had a max of 13 and an average of 6.08. That’s almost 3x less capital needed. And for a stock that fell at one point from around 20 all the way to just over 1, during the backtest period, that’s the difference between losing hope and making a very nice profit. You do NOT want to be trying up a lot of capital during THAT kind of bloodbath and watching your drawdown esplode.
The more I investigate FPC, the more I appreciate its value. Another time, I’ll touch on its specific performance during long downward runs in a stock (or maybe even bitcoin) and how its value as a risk and volatility reducer is especially valuable in those situations. I’ll also examine how quicker capital turnover affects position sizing. If you have any questions or comments, feel free to share and I’ll reply as quickly as I can.