12 years ago
Wednesday, October 13, 2010
Sunday, October 3, 2010
LT model signal change
A "green" and "black" signal have been generated by the LT model = 66% portfolio allocation into the QQQQ as of the market open of 10/4/10 ...
Sunday, September 26, 2010
Heads up for possible LT model signal change
Possible LT model signal change coming up for 10/4/10 ... stay tuned
Friday, July 2, 2010
Wednesday, June 30, 2010
LT model signal change
The "green" signal of the Long term model has gone to cash effective market open 7/1/10 ...
Tuesday, February 16, 2010
Monday, February 15, 2010
LT model signal change
A "green" signal has been generated by the LT model = 33% portfolio allocation into the QQQQ as of the market open of 2/16/10 ...
Thursday, February 4, 2010
Sunday, January 31, 2010
LT model signal change
The "black" signal of the Long term model has gone to cash effective market open 2/1/10 ...
Monday, January 25, 2010
Thursday, January 21, 2010
Building a profitable long term index investing model part 2
In part 2, we magnify the LT model's returns through the use of the
" Ultra QQQ " exchange traded fund ** ( symbol QLD). That is, during the "blue" signals, we apply a 33% portfolio allocation into the QLD instead of the QQQQ. Comparing part 1 to part 2, returns are increased and risk ( through the use of leverage ) is increased, yet to the extent that the leverage is applied to ONLY 1 of the 4 components that make up the model.
Also, since QLD has only "actively" been in existence since the beginning of 2007, we have to "simulate" leveraged returns on the signals in question prior to the 3/12/07 signal by applying a leverage calculation to the indices themselves. We additionally took into consideration the aspect of performance "slippage" that is reflected in the mechanics of leveraged ETFs
( certain structural pricing fluctuations in the internal portfolio composition through the use of futures contracts and option contracts that cause them to "overperform" or "underperform" the "stated" 200% returns ). With this in mind, we used a more conservative leverage factor of 150%. As an example of this discrepancy, the recent signal of 3/16/09 had achieved a 112% return using the QLD vs. a 49% return achieved by the QQQQ ( as shown in the 4th panel in pt.1 ); a MORE than 200% performance comparatively.
Another point of note is the addition of the data column on the left containing " % of portfolio invested " and the " average % portfolio invested " at the bottom of the 4th pane. As one can see, the model achieves a notable return while being 100% invested in just 8 out of 40 years and having an average of only 44% of portfolio capital put to work over 40 years .
** QLD "seeks daily investment results, before fees and expenses, that correspond to twice (200%) the daily performance of the NASDAQ 100 Index".
View model's signals below :
" Ultra QQQ " exchange traded fund ** ( symbol QLD). That is, during the "blue" signals, we apply a 33% portfolio allocation into the QLD instead of the QQQQ. Comparing part 1 to part 2, returns are increased and risk ( through the use of leverage ) is increased, yet to the extent that the leverage is applied to ONLY 1 of the 4 components that make up the model.
Also, since QLD has only "actively" been in existence since the beginning of 2007, we have to "simulate" leveraged returns on the signals in question prior to the 3/12/07 signal by applying a leverage calculation to the indices themselves. We additionally took into consideration the aspect of performance "slippage" that is reflected in the mechanics of leveraged ETFs
( certain structural pricing fluctuations in the internal portfolio composition through the use of futures contracts and option contracts that cause them to "overperform" or "underperform" the "stated" 200% returns ). With this in mind, we used a more conservative leverage factor of 150%. As an example of this discrepancy, the recent signal of 3/16/09 had achieved a 112% return using the QLD vs. a 49% return achieved by the QQQQ ( as shown in the 4th panel in pt.1 ); a MORE than 200% performance comparatively.
Another point of note is the addition of the data column on the left containing " % of portfolio invested " and the " average % portfolio invested " at the bottom of the 4th pane. As one can see, the model achieves a notable return while being 100% invested in just 8 out of 40 years and having an average of only 44% of portfolio capital put to work over 40 years .
** QLD "seeks daily investment results, before fees and expenses, that correspond to twice (200%) the daily performance of the NASDAQ 100 Index".
View model's signals below :
Monday, January 18, 2010
Building a profitable long term index investing model part 1
Long term index investing system part 1.
The goal of this model is to outperform the market indices by diversifying risk across 4 robust quantitative "components" which have proven their profitability in a consistent and stable manner over a period of decades.
Investment position entries and exits via signals are indicated in black, blue and green text. Each colored "signal" ( as generated by one or more of the 4 quantitative "components" ) represents a 33% "long" portfolio allocation. Thus the portfolio equity allocation increments taken are as follows: 1) cash 2) 33% 3) 66% 4) and 100%.
The "end result" * trading vehicle used in taking portfolio positions in part 1 is the QQQQ exchange traded fund; an ETF that "mimics" the movement of the Nasdaq 100 index.
* Signal testing in the model over multiple decades involved a "rolling" composite of market indices: starting with the SP 500 index, moving through the Nasdaq composite, the Nasdaq 100 index, and finally the QQQQ **.
** As Nasdaq index data is scant prior to 1974, the data set starts with the SP 500 and evolves system investment return calculation through the Nasdaq index, the Nasdaq 100, and finally the QQQQ: a popular Exchange traded fund that mimics the movement of the Nasdaq 100 index .
View model's signals below :
The goal of this model is to outperform the market indices by diversifying risk across 4 robust quantitative "components" which have proven their profitability in a consistent and stable manner over a period of decades.
Investment position entries and exits via signals are indicated in black, blue and green text. Each colored "signal" ( as generated by one or more of the 4 quantitative "components" ) represents a 33% "long" portfolio allocation. Thus the portfolio equity allocation increments taken are as follows: 1) cash 2) 33% 3) 66% 4) and 100%.
The "end result" * trading vehicle used in taking portfolio positions in part 1 is the QQQQ exchange traded fund; an ETF that "mimics" the movement of the Nasdaq 100 index.
* Signal testing in the model over multiple decades involved a "rolling" composite of market indices: starting with the SP 500 index, moving through the Nasdaq composite, the Nasdaq 100 index, and finally the QQQQ **.
** As Nasdaq index data is scant prior to 1974, the data set starts with the SP 500 and evolves system investment return calculation through the Nasdaq index, the Nasdaq 100, and finally the QQQQ: a popular Exchange traded fund that mimics the movement of the Nasdaq 100 index .
View model's signals below :
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