The objective of this journal is to present out-of-sample results of a backtested long-only strategy that I believe will outperform the S&P 500 by 10% per year using a diversified portfolio of 25 liquid stocks. Although I may own several of these stocks, this is a paper-traded model portfolio, not a real one. I have chosen a 25-stock portfolio to minimize the contribution of any one particular stock and make it less likely that any reported results are due to chance.
The portfolio will be rebalanced every 4 weeks with the expectation that one-third to one-half of the positions will be replaced with each rebalancing. For ease of record-keeping, these rebalancings will not be staggered and I will not include commissions, dividends, or slippage in my reporting. Each of the 25 stocks will be equally weighted and purchased/sold on Monday's opening price. In actual trading, I would use discretion as to when to buy and sell.
Even with broad diversification, I expect some that in some years there will be months in which the system underperforms the S&P 500 by 5% or more. I wish this wasn't the case, but it is a price I must accept.
I understand the many risks inherent in backtesting. My expectation of beating the S&P by 10% is NOT based on backtests beating the S&P by this margin but rather assumes that out-of-sample results will not be nearly as good as backtested results. I am not trying to hit home-runs here or turn $100000 into $1000000 in a few years. Instead, I am looking for a realistic mechanical strategy with decent returns and no danger of blowing up when fully hedged. The objective is not to maximize returns but to outperform the S&P 500. In actual trading, I hedge my long positions with short positions when the market looks weak.
The model portfolio will buy the following on Monday's open:
AFAM
BIRT
CECO
DORM
FCFS
FINL
FRED
FSTR
HITK
INSP
JCOM
KAI
KFY
LMIA
LNN
MKSI
OVTI
QLGC
STNR
SYKE
SYX
TECD
TRLG
UEIC
VPRT
The portfolio will be rebalanced every 4 weeks with the expectation that one-third to one-half of the positions will be replaced with each rebalancing. For ease of record-keeping, these rebalancings will not be staggered and I will not include commissions, dividends, or slippage in my reporting. Each of the 25 stocks will be equally weighted and purchased/sold on Monday's opening price. In actual trading, I would use discretion as to when to buy and sell.
Even with broad diversification, I expect some that in some years there will be months in which the system underperforms the S&P 500 by 5% or more. I wish this wasn't the case, but it is a price I must accept.
I understand the many risks inherent in backtesting. My expectation of beating the S&P by 10% is NOT based on backtests beating the S&P by this margin but rather assumes that out-of-sample results will not be nearly as good as backtested results. I am not trying to hit home-runs here or turn $100000 into $1000000 in a few years. Instead, I am looking for a realistic mechanical strategy with decent returns and no danger of blowing up when fully hedged. The objective is not to maximize returns but to outperform the S&P 500. In actual trading, I hedge my long positions with short positions when the market looks weak.
The model portfolio will buy the following on Monday's open:
AFAM
BIRT
CECO
DORM
FCFS
FINL
FRED
FSTR
HITK
INSP
JCOM
KAI
KFY
LMIA
LNN
MKSI
OVTI
QLGC
STNR
SYKE
SYX
TECD
TRLG
UEIC
VPRT