• StormGuard Options
StormGuard-Off
turns off StormGuard so that it is possible to
use
inverse ETFs and other inversely correlated
funds as an improved means to do
well during down-markets. Since StormGuard overrides the
decision of the stock/fund selection algorithm,
it must be disabled in order for inverse funds
to be selected during down-markets. It is
noteworthy that long-term treasury funds, such
as FLBIX, VUSTX, TLT, and UBT (and many others) are generally
inversely correlated to the S&P 500 and can
be successfully used to improve performance
in Strategies that StormGuard Disabled.
However, for reasons described in the
Common Mode Noise
Reduction section, it is actually much
better to use treasury funds in conjunction with
a well-designed
Bear
Market Strategy controlled by
StormGuard-Armor.
StormGuard-Std. refers to the
standard version of StormGuard.
StormGuard-Std will only move into or out of $CASH
at month-end, and will additionally respect
specific extended minimum hold periods for
mutual funds if the Trade Automatic setting has
been selected. While it is not unusual to be
anxious about moving to the safety of $CASH when markets are
falling and thus to believe that the month-end trading
limitation is less safe. However, the opposite
is actually true. Backtesting shows there is actually a
slight performance advantage when trading
to/from $CASH only at month-end. However, if you
are the anxious type, you may prefer to use
StormGuard-AQR, which breaks does not abide by
that rule.
StormGuard-AQR (Asymmetric
Quick Response)
is a more aggressive StormGuard that
(a) "comes out of the hole" sooner following a
market selloff, (b) triggers sooner by not
adhering to month-end trading rules, and (c)
does not honor fund-specific
trade
hold rules. Its only limitation on moving
to/from $CASH is that the last trade in the
Strategy must have been at least 15 days ago.
The asymmetric timing design is predicated on
the observation that major market selloffs begin
slowly, but after bottoming, typically rebound
much more quickly. Capturing more of the fast
rebound is the objective. Because of its faster
response, S.G.-AQR is also prone to having about
twice as many trades to/from $CASH. It is not
uncommon for an initial market rebound to fail
and for S.G.-AQR to take the Strategy back to
$CASH again for a while.
StormGuard-Armor
is our most advanced market
direction/sentiment indicator, and was designed
with a primary focus on ultimate safety without
sacrificing any performance - and that objective
was met and exceeded. While all other StormGuard
option algorithms are based on measuring the
trend of the S&P (in one manner or another),
SG-Armor adds two additional views of the market
when making its decisions: (1) market volume,
and (2) new highs/lows. These additional
measures
of "market internals" are kind of like adding
the senses of hearing and seeing to feeling.
These measures betray changes in behavior of
important investor classes before it starts to
affect market prices. Seeing or hearing that a
rough patch of road may be ahead provides time
to react before you start feeling the presence
of that rough patch. Additional
technical details and performance information on
this extraordinary version of StormGuard can be
found on the
StormGuard-Armor page.
StormGuard-Armor only triggers on month-end and
will respect other trading limitations
provided under the
Trade
Automatic setting.
StormGuard-Dr.Don's is a market direction
indicator developed by Dr. Don Gimpel, long term
president of the Las Angeles AAII Chapter, using
the SMA 75/300 day crossover on SPY to determine
when to get out of the market, and the SMA
50/200 day crossover to determine when to get
back into the market. As implemented, it triggers only month-end.
StormGuard-Death-X (Death Cross) has been
the standard market direction indicator of the
industry for decades. It is the SMA 50/200 day
crossover of the S&P500, and is called the Death
Cross on the way down and the Golden Cross on
the way up. As implemented, it
triggers only month-end. It is provided as
a performance comparison base.
• SG-AQR Performance
Notes:
In a careful examination of
the difference between Chart-1 (S.G.-Std.) and
Chart-2 (S.G.-AQR) below, one can see that in
both of the mid-2003 and mid-2009 market
recoveries, a greater portion of the market
rebound is captured with S.G.-AQR resulting in
an increase in the average annual return from
28.2% to 31.2% - which translates to about an
30% additional return improvement related to each of those major
recovery events. That performance improvement
may justify paying an occasional early trading
fee if a fund needs to be sold early.
Please Note: StormGuard-AQR
doesn't perform better on all Strategies. In
order for it to be helpful, the Strategy
algorithm must select something at that time
which is rebounding aggressively out of the
hole. For example, if your strategy includes a
bond fund that was currently being held, then
there will be little difference between buying
back in to that bond fund versus continuing to
hold $CASH a bit longer. In one particular
examined ETF Strategy that was not helped by
S.G.-AQR, the reason identified was that the
algorithm had chosen the GLD ETF at that time,
and GLD was fairly flat in performance when the
market was otherwise seriously rebounding.
• SG-Armor
Performance Notes:
The four charts below are for the same Strategy
composed of a set of well diversified US ETFs
(SPY, MDY, etc.), but each using a different
StormGuard exit strategy. Exit Strategy #1 has
StormGuard-OFF, and one can easily see the
ravages of the 2008-2009 bear market in the
equity curve. Exit Strategy #2 uses the
well-known Death Cross to exit the market to
$CASH when the SMA 50/200 day crossover occurs,
and offers a marked improvement over doing
nothing. Exit Strategy #3 uses StormGuard-Armor
to exit the market to $CASH, and clearly is
superior to the Death Cross. Finally, Exit
Strategy #4 uses StormGuard-Armor in conjunction
with the TLH (a 10yr treasury ETF) as the Bear
Symbol (alternative to sitting in $CASH) and
leaves the others in the dust. Please review
the
Bear Market Strategies page for a
discussion on how hindsight selection bias can be
avoided during bear markets using a well-designed
Strategy that selects from a diverse set of asset
classes that often (but not always) do well during a
market crash.
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