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Trang 1Gap Trading Techniques
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Trang 2Finding a strategy that
back-tests successfully is rare;
find-ing one that is reproducible in
live trading is rarer still
The following intraday strategy — the
Morning Gap Reversal (MGR) —
capital-izes on the major indices’ tendency to
retrace toward the prior day’s close each
morning It has a high winning perc e n t a g e
tested in both bull and bear conditions —
an important characteristic for any
short-term strategy — and it is easy to execute
Each morning the opening price of an
index or stock is higher or lower than the
prior day’s closing price This price
change is called the morning gap if it is
above the previous day’s high (an “upgap”) or below the previous day’s low (a
“down gap”) However, for simplicity,
we will use “gap” to refer to the distancebetween the previous close and currentopen, regardless of whether or not theopen falls within the previous day’srange (see Figure 1)
First, we will analyze the behavior ofmorning gaps to determine if they pro-vide a logical basis for a trading strategy
Morning gap statisticsStatistically, price has a very high likeli-hood of filling between 50 and 100 per-cent of the gap between yesterd a y ’ sclose and today’s open during the trad-ing day Usually, a reversal that fills (orpartially fills) the gap will occur withinthe first 30 minutes of trading (by 10 a.m.ET)
T h ree years of back-testing fro mJanuary 1999 to January 2003 on theDow Jones Industrial Average (INDU),S&P 500 (SPX) and Nasdaq 100 (NDX)indices was conducted to verify the sta-tistical reliability of the basis for theMGR strategy The analysis wasdivided into three parts: first, deter-mining the frequency and extent ofmorning gap reversals; second, find-ing out how quickly morning gapsreversed; and third, identifyingimportant “time markers” withinthe reversal period
Table 1 summarizes the first part
of the analysis The columns showdifferent gap sizes, from 1 to 3 per-cent (positive or negative) The rowsshow what percentage of the gapswere filled, and the cells show howoften they were filled (at some pointduring the trading session)
The table shows 85 percent of thegaps between zero and 1 percent insize (positive or negative) closed atleast halfway, and 78 percent of thegaps closed between 90 and 100 per-cent
Although slightly less re l i a b l e ,gaps between 1 and 2 percent (posi-tive or negative) showed a similartendency to be partially retraced or
S&P 500 index-tracking stock (SPY),
one-minute
In the first half-hour of the trading session, the market will frequently retrace in
the direction of the previous day’s close.
FIGURE 1 MORNING “GAPS”: REVERTING TO THE CLOSE
Source: Great-Trade by Protrader
BY BRYAN C BABCOCK AND ARTHUR AGNELLI
Historical tests reveal the tendency of the major stock indices to revert to the previous day’s closing price in the early minutes of the trading session This
strategy takes its cue from that bit of market behavior.
Trang 3filled These gaps retraced by at least
half 78 percent of the time and retraced
between 90 and 100 percent 62 percent of
the mornings studied Gaps in the 2- to
3 - p e rcent range were somewhat less
likely to be filled
Only 14 percent of the gaps (in the
“Overall” column) closed between zero
and 9 percent, which includes those
mornings when price immediately
moved in the opposite direction of the
gap closure, creating what is known as a
“gap and run.”
The second part of the analysis
e x p l o red how quickly gaps re v e r s e d
The gaps typically closed half way (50
percent) by 9:55 a.m Of the gaps that
closed completely, 67 percent of them
did so in the first 30 minutes of the
trad-ing session, and 86 percent closed by the
end of the first hour of trading (10:30
a.m ET) The likelihood of additional
closure declined substantially after the
first hour of trading Gaps that were still
open after 60 minutes closed only 4.5
percent of the time Also, the success rate
diminished on days when economic
news was released 30 minutes after the
market open, at 10 a.m ET
The third portion of the analysis
iden-tified important time markers during the
g a p - reversal period Figure 2 (below)
shows the typical time markers for gap
reversals Just after the open, the major
indices tended to continue to move in the
d i rection of theopening price forthe first one to 10minutes A f t e rthis initial rally(or sell-off), themarket turnedand began toclose the morn-ing gap Thisreversal, on aver-age, began sixminutes after theopen, at 9:36 a.m
four-minute countertrend move (or “jig,”
which often fakes out traders into ing positions early) typically occurre d
cover-a round 9:42 cover-a.m cover-and lcover-asted until cover-appro imately 9:47 a.m
x-Before the bell:
Pre-market review processThe first step in trading the MGR is antic-ipating the direction of the openingmove Usually two hours before the mar-ket opens a reliable gap can be identified
by checking the pre-market stock index
f u t u res quotes on CNBC or Bloomberg
T V (Minute by minute pre-market index
f u t u res quotes are also available thro u g hthe Chicago Mercantile Exchange We bsite, w w w.cme.com.) Whether these con-tracts are trading up or down in the earlymorning can give you an indication ofthe possible direction of the stock market
o p e n Second, make note of how the futuresare affected in the pre-market by anyeconomic reports released at 8:30 a.m
E T This will indicate whether thefutures are strengthening or weakening
in pre-market trading Make a finalcheck of the futures at 9:10 a.m (20 min-utes prior to the market open)
Morning open — up gap
Morning peak on average 9:36 a.m EST
The primary time “milestones” in early trading show the
retracement to the previous close typically maximizes
around 9:53 a.m.
FIGURE 2A MORNING UP-GAP TIME MARKERS
The time markers for the typical down gap are the same
as those for up gaps
FIGURE 2B MORNING DOWN-GAP TIME MARKERS
Prior day closing price Prior day
closing price
Morning open — down gap
Trade is maximized 9:53 a.m.
Trade is maximized
The columns show morning gaps of different sizes
The rows indicate how much of the gaps were filled.
TABLE 1 MORNING GAP ANALYSIS
Trang 4T h e re are two qualifications for the
behavior of the futures in pre - m a r k e t
trading First, all three index futures
con-tracts (S&P, Nasdaq 100 and Dow) must
trade consistently in the same dire c t i o n
during the pre-market For example, if
the Dow futures are down 35 points at 8
a.m and rally to trade up 20 points by 9
a.m., they have changed from implying a
down opening to implying an up
open-ing This kind of behavior should not be
traded Similarly, if one contract is up
and the other is down (e.g., the Nasdaq is
up 5 and the Dow Jones is down 15), it is
not a good day to use the MGR strategy
Second, because a very narrow gap
reduces profit potential, gaps in the
futures contracts must be in excess of 5
points for the S&P 500 futures, 10 points
for the Nasdaq 100 futures and 20 points
for the Dow Jones futures
Other factors
In addition to watching pre-market
trad-ing activity, evaluate the support and
resistance in the market you intend to
trade Be aware of the projected opening
price of the security relative to any
sig-nificant support or resistance levels
Often a market that is gapping up will
open just under an established resistance
level; a market gapping lower might
open just above established support
Both indices and stocks exhibit themorning gap characteristics outlined
h e re Index-tracking stocks such asQQQ, DIA, or SPY are good vehicles fortrading the MGR strategy because, notbeing subject to the up tick rule, they areeasier to sell short than individual equi-ties For these reasons, it is recommend-
ed that you concentrate on the threemajor index-tracking stocks when trad-ing the MGR strategy
Trade entry The average reversal start time is 9:36a.m., which means the trade-entry win-dow is generally from 9:30 to 9:42 a.m If
a position has not been initiated by 9:42a.m., no trade is taken for the day Threeentry techniques can be used with theMGR strategy: time entry, pattern entryand staggered entry
A time entry consists of “playing theaverages” by entering a trade at 9:36 a.m.,
re g a rdless of what the market is doing atthe time This approach has the advantage
of being easy to execute, but it also ru n sthe risk of putting you immediately on thelosing side of the market Despite thesedisadvantages, a trader without a re a l -time trading setup system may prefer thismethod because of its simplicity
The pattern entry approach waitsfor the market to reverse toward the
p revious closing price before ing the trade The trade is taken onlyafter two complete one-minute bars
enter-in the direction of the reversal (i.e.,bars with closes below their opens,and the second bar with a lower lowthan the previous bar, if the re v e r s a l
d i rection is down), as shown in
F i g u re 3) The advantage of this
a p p roach is that by waiting for themarket to confirm the reversal prior
to entry, the trader avoids entering alosing position on days when themarket keeps running in the dire c-tion of the opening gap The disad-vantage is that the trader is alwayslate getting into the market and maymiss significant profits as a result The staggered entry combines thefirst two approaches by bre a k i n gthe entry into two equal halves Thefirst half of the trade is placed at 9:31a.m and the second half of the trade
is entered after two bearish minute bars in the direction of thereversal This way, if the marketreverses quickly, the trader has apartial position already in the market
one-H o w e v e r, if the market runs in the dire tion of the open, only half the trade isexposed
c-Stop placementEvery trader’s primary focus should be
c o n t rolling risk and losses Most traders
a re quick to take a small profit when themarket is willing to give a larger pro f i t ,while at the same time they expose them-selves to too much initial risk and areslow to take losses The following guide-lines are designed to let the market con-
t rol your profit while you control yourrisk
The strategy uses three kinds of loss orders, the sizes of which areintended for SPY, DIA and QQQ Thefirst type is the “high-low” stop Theprimary risk in an MGR trade is themarket will continue to run in the dire c-tion of the gap There f o re, if the index-tracking stock trades 15 cents above thehighest high of the morning (for upgaps) or below the lowest low of themorning (for down gaps) after 9:45 a.m.,the position should be closed This is theworst-case scenario and will yield thestrategy’s largest losses
stop-The second stop-loss is a trailing stop
One way to enter a trade is to wait for two consecutive bars that close lower than
they open (in the case of a downward reversal and potential short trade), with the
second bar also having a lower low than the first bar
FIGURE 3 PATTERN ENTRY
Source: Great-Trade by Protrader
Trang 5that requires evaluating where the
trade is relative to the best price it
has experienced up to that point
First, once a 25-cent profit has been
reached, move the stop to
breakeven When a 35-cent profit
is in place, trail the stop-loss 25
cents above the highest high (for a
short trade) or below the lowest
low (for a long trade) reached
dur-ing the trade
For example, if the position is
up 35 cents and moves back to
being up only 10 cents, exit the
trade; if the position is up 50 cents
and moves back to being up only
25 cents, exit the trade This
a p p roach continually moves the
stop in the direction of the trade
The third stop is the “time
stop.” Because this strategy is
most successful in the first 30
min-utes of trading (and because
eco-nomic announcements often occur
at 10 a.m ET), the time stop
liqui-dates any position that is still open
at 9:55 a.m This allows the trader
to take advantage of the most
ben-eficial time period without exposing the
trade to the volatility of adverse
reac-tions to news
In actual trading, the majority of
los-ing trades are stopped out with a loss of
50 cents or less In tests, a 50-cent
absolute stop in the SPY and DIA w a s
r a rely hit The lower price of the QQQ
made them even less susceptible to being
hit; the typical maximum loss in the
QQQ is closer to 30 cents than 50 cents
Position sizing
Correct position sizing will enable you
to focus on the strategy without being
distracted by unnecessary anxiety A
benchmark is to risk no more than 2
per-cent of account equity on a trade This
means a trading account of $25,000
could aff o rd to risk $500 per trade
($25,000 x 02 = $500) Because this
strat-egy typically stops out a losing trade
within 50 cents of the entry, it’s possible
to trade up to 1,000 ($0.50 x 1,000 = $500)
shares
C a v e a t s
The stop-loss rules are structured to let
the market determine how large the
profit should become when the trade
runs in the desired direction
However, when the gap closes
entire-ly before 9:55 a.m., half the positionshould be closed (The prior day’s close
is a natural resistance/support level; if it
is penetrated, the possibility of a around off that level emerges.) The sec-ond half of the position should be keptopen in case the market continues tomove profitably
turn-Finally, the “jig” mentioned in the tistics section occurs quite fre q u e n t l ybetween 9:42 and 9:47 a.m ET Becausethis countertrend move can fool a traderinto closing a position too quickly, try toavoid closing a position during this timeframe Stick to your original stop-losslevels
sta-Trade exampleFigure 4 shows the Dow Jones IndustrialAverage tracking stock (DIA) openinghigher (on Jan 23, 2003) than the preced-ing close, setting up a potential shortsale
Using the simplest entry approach, ashort trade was entered at 9:37 a.m ET at
$83.74 (the market was already starting
to retrace toward the previous closingprice of $83.24) The initial stop-loss wasplaced at $84.07, which corresponds tothe morning high plus 15 cents (Thechart also shows where the pattern entry
technique could have been used.) The market continued to move lower,first reaching the 25-cent profit level atapproximately 9:41 a.m., at which pointthe stop is moved to breakeven Next,DIA reaches the prior day’s closing pricearound 9:48 a.m When this target wasreached, 50 percent of the position wasclosed for a 50-cent profit
F rom this point onward, the balance ofthe position would be exited with the 25-cent trailing stop or at 9:55 a.m., whichev-
er comes first In this case, the time stopwas reached, closing the second half ofthe trade at $83.47 for a 27-cent profit Thetrade’s total profit was just over 38 cents,taking into account the two exits Statistical foundation
and tight risk controlThe MGR strategy is based on the favor-able statistical performance of earlymorning reversals back to the previousday’s closing price It combines a highwinning percentage with conservativerisk management
The strategy’s simplicity makes iteasy to monitor and “paper-trade” inreal-time, which lays the groundworkfor actual trading.Ý
For information on the authors see p 12.
In this case, the entire morning gap was filled in the first 20 minutes of trading,
at which point half the trade was liquidated and a 25-cent trailing stop was used to protect the remainder.
FIGURE 4 SHORT-TRADE EXAMPLE
Source: Great-Trade by Protrader
Dow Jones Industrial Average index-tracking
stock (DIA), one-minute
Exit 50 percent of the position (at 83.24) when the entire morning gap is closed
Exit remainder of position at 9:55 a.m ET(83.47)
Pattern entry(Two consecutive one-minutebars in the direction
of the reversal)Entry:
Price — 83.74Time — 9:37 a.m ET
Initial stop-loss is placed at themorning high plus 15 cents
Trang 6I n today’s markets, many stocks
can have large supply-demand
imbalances at the opening bell
Often, these imbalances result in
what are known as gaps, when the
open-ing price is higher or lower than the
pre-ceding close
News, in various forms, is generally
the catalyst for gap openings The most
common type is macroeconomic news
such as FOMC meetings, the release of
economic indicators such as
unemploy-ment or the Consumer Price Index (CPI),
or stock-specific news such as earnings
surprises or analyst upgrades or
down-grades
When buying interest exceeds sellinginterest, the gap will obviously be to theupside and vice versa However, what isnot known is the price level at which thestock will open, and the precise risksassociated with being long or short in aparticular situation
Until recently, these price levels wereoften determined exclusively by large
“off-floor” markets, such as Instinet, aninstitutional trading network that wasthe first outside-market-hours tradingmedium To d a y, with the advent ofmany other Electronic CommunicationsNetworks (ECNs), there are many moreretail traders active in pre- and post-market trading However, even thoughthe public has access to the pre-market,the levels that trade pre-market are stillmostly influenced by market makerswho bid or offer stock at price levelsaway from the previous day’s closewhen imbalances appear in their auto-mated systems
Because many of these imbalanced
o rders are “market on open ord e r s ”(meaning they are to be executed at the
“best” available price as soon as the
mar-ket opens), marmar-ket makers have anincentive to open a stock at extreme lev-els directly correlated to the imbalance.This simply means that if an imbalance
is on the demand side, and a given stock
is going to open strong, market makerswill open it as high as they can, takingthe opposite side of the trade on openbuy orders
Because most members of the publictrade only the long side of the market,many unsuspecting amateurs buy intogap-up openings at what often will bethe high price of the day As a result, it isworthwhile to explore the possibility oftrading situations when a gap will nothold (reverses), rather than thoseinstances when the stock followsthrough with a move in the same direc-tion Whether the stock reverses andcloses the gap or follows through in thesame direction, this move is perhaps thestrongest indication of what the trendwill be for the stock shortly after the gapopening In the example of bullish gaps,stocks that fail to meet new highs fromthe opening levels will have a greaterlikelihood to retrace and lose much of
comes the higher risk of opening gaps.
Learn how to spot the early warning signs
and how to take advantage of them.
The first clue that a stock is ripe for a gap opening
is an increase in volume over its normal daily average.
BY DAVID S NASSAR
TRADING Strategies
Trang 7the opening gap.
C o n v e r s e l y, stocks that re m a i n
strong and trade to new highs after the
opening gap will have a greater
likeli-hood of following through and
trend-ing higher While this shouldn’t be
interpreted too rigidly (there are other
indicators to monitor, such as index
strength and sector strength, etc.), it is
the strongest single indication of how a
stock will trade following a gap
open-ing
Regardless of whether gaps are to
the upside or downside, it is important
to study the impact they have on
stocks The following components and
considerations are most important
when trading gaps:
• Charged stocks/sectors;
• Volume and volatility;
• Chaos and over-activity;
• High risk (elasticity)
Let’s look at each of these factors
Where the action is:
Charged stocks and sectors
Once a sector is in the public eye, think
of the component stocks as being
pumped up or “charged.” When this
occurs, the volume in the stock will
increase, and there will be a
tremen-dous swing in the trading range from
one session to the next, either to the
upside or downside Before the
open-ing bell, in the absence of actual trade
a c t i v i t y, market makers will pre d i c t
price pattern changes — either slightly
before an event or immediately after one
— and bid the stock higher or lower
based on their predictions
If a major stock within a sector
experi-ences negative or positive news, it can
charge an entire sector Figure 1 shows
Intel (INTC) gapping down after
nega-tive news on inventories The entire
Philadelphia semi-conductor index
(SOX) became charged and volatile
immediately after As you can see fromthe chart, Intel did not hold its levelsafter the first gap and followed through
by trending lower, as did the SOX index
Early warning signs:
Volume and volatility The first clue that a stock is ripe for a gapopening is an increase in volume over itsnormal daily average Often, the volume
increase will occur before the news isknown This is an indication that news isleaking in the market and explains thecliché “stocks tell their own story” ahead
of news Remember, the biggest tradinghouses often have strong indications ofsector and stock stre n g t h / w e a k n e s s
b e f o re the media There f o re, whenincreases in daily volume accompanied
by directional bias are seen in theSource: QCharts by Quote.com
Starting in September 2000, the uptrend in Intel (top chart) came to a halt, punctuated by a series of downside gaps Typically viewed as a blue-chip stock free of extreme volatility, Intel became much more volatile after the first down gap; it became a "charged" stock that propelled the entire semiconductor sector lower (bottom chart).
FIGURE 1 CHARGING LOWER
Intel (INTC), daily
PHLX Semiconductor Sector Index (SOX), daily
75 70 65 60 55 50 45 40 35
1200.00 1150.00 1100.00 1050.00 1000.00 950.00 900.00 850.00 800.00 750.00 700.00 651.22 600.00
300,000,000 200,000,000 100,000,000 0 Volume
28 5 11 18 25 2 9 16 23 30 6 13 Sept Oct Nov.
2 1 28 5 11 18 25 2 9 16 23 30 6 13 Sept Oct Nov.
391⁄32
74,009,300
Trang 8absence of news, a gap is generally not
far behind
The best way to track volume is by
knowing the average daily volume for
the stock or sector in question, in
combi-nation with its key trading levels
(sup-port or resistance) Watching the time
and sales ticker is an excellent way to
monitor changing volume for short-term
intraday trades If the ticker is moving
fast, you are seeing an increase in
vol-ume — it’s that simple
When this occurs, you are generally
looking at a “vertical spread” (VS)
situa-tion A high VS means the price pattern
is changing rapidly, up or down, and
you will need to “lead” the market (i.e.,
place a limit order that is the best bid or
offer) to buy or sell as the range widens
A slower-moving issue that has a tight
“horizontal spread” (HS), where the
spread between the bid and ask is tight,
say 1⁄16, will not require leading If the
stock has a tight HS, you can easily “lift
offers” or “hit bids” — or even buy bids
and sell offers –— during tight price
range situations
To spot volume changes that may lead
to gaps, it is important to take a broader
view of both the volume and the market
itself Notice the dramatic volume
increase in Intel over the course of
sever-al days, in Figure 1 However, the
vol-ume interpretation changes within each
move and the stock will move the most
on the least volume once it is in motion
For example, when stocks are growing
weaker, panic and fear is heightened and
fewer buyers are stepping up Therefore,
as buyers disappear from the market,
stocks fall harder on light volume and
with a wider range before new support
levels are found Once the stock
estab-lishes support levels, the volume builds
dramatically as buyers remain strong,
while sellers are still in the market It is
at these levels that the true battle
between bulls and bears takes place
These campaigns are evidenced by
heavy buying and selling, which result
in small price movements until one sideultimately gains control Once a clearimbalance is revealed, whether bullish
or bearish, the volume tends to dry up asmarket participants start to lean over toone side of the supply/demand scale
For example, if the bulls gain control at a
key support level, buyers will exceedsellers and the stock will trade higher onless volume as the buyers lift thin offers
at each price level
The lesson here is that volume cates where the battles are foughtbetween bulls and bears, but once adominant bias is revealed, the stock willmove the most on lighter volume Gapsare the ultimate example of this: no vol-ume exists, but extreme price changedoes Once this gapping action begins,chaos is not far behind
indi-Chaos and high risk:
Are gaps worth it for you?
Chaos reaches its peak when stocks have
no real support or resistance levels insight For example, if a stock is not wellsupported until it trades 20 points lower,volatility will be extreme
These such conditions re p resent aday-trading environment only This isnot a time to take overnight positions
Remember, volatility can also be defined
as chaos and, therefore, you can throwyour technical tools and indicators outthe window If you want to day trade inthis climate, you must take a micro view
of the stock, taking small incrementalprofits and losses vs trying to trade theoverall trend
Also important is that gaps oftenreveal the beginning of new tre n d s However, if you’re a longer-term posi-tion trader in these situations, you musthave a much higher risk tolerancebecause these price fluctuations are part
of the equation Otherwise, you will stantly employ “discipline” at the wrongtime (placing stops too close, etc.) and
con-get whipsawed out of trades, takingmany losses Certainly, you also need aclear picture of what the broader priceaction looks like before even thinkingabout adding volatile, big-range stocks
to your watchlist It is also important todramatically lower your size in thesetrades, because the range of the price
swings offsets the trade size needed toprofit
Seeing the broader view of the market
is like a hurricane: When you’re in it, it ischaos, but if you can get far enoughaway, you can see the larger pattern and
d i rection When you trade chaoticstocks, you must trade them accordingly
or avoid them altogether
To determine if a chaotic market mate in general, and the overnight-gaptrade in particular, is for you, ask your-self the following questions:
cli-1 Do I have the account size required
to take the necessary risk?
2 Do I have the temperament and
the required level of risk tolerance?
3 Am I “in the money” and willing
to take on additional risk for additional reward?
4 Do I have clarity and confidence
enough to see the gap coming?
5 Did I day trade this stock the entire
day prior to the anticipated gap?
If you answered “no” to any of thesequestions, don’t even think about takingthe trade If you answered “yes” to all ofthe questions, then you have the criteria
to attempt it Here’s how to do it.Taking the trade
Let’s begin with the fact that, because ofvolatile price pattern movements duringthe day, stocks will tend to overreact orovertrade, moving to extreme price lev-els that are extreme This sets up a possi-ble correction for the next trading ses-sion, when market makers will often gapthe stock price to levels that are advanta-geous for them
The first gap that sets the stock in
Stocks tend to overreact and move to extreme price levels,
which sets up the possibility
of a correction in the next trading session.
Trang 9motion because of unforeseeable news is
generally not predictable However, the
gaps that may follow can occur for some
of the following reasons:
• Additional news, such as earnings
releases
• Short squeezes and profit taking
(“hook” closes)
• S&P 500 futures volatility
These different factors can provide
various signals that offer opportunities
for gap trades
Earnings Earnings are perhaps the
most significant factor re g a rding gap
trades, because they have such a
sub-stantial impact on both stocks and
sec-tors
The market is far more unforgiving of
missed earnings than it is re w a rding to
earnings that meet estimates Many
com-panies meet expectations and still get
h a m m e red the day after their
announce-ments This is because most positive ings expectations are built into the stockprice in the days prior to the report Forthis reason, stocks have a greater pro p e n-sity to fall when companies merely meet
earn-e x p earn-e c t a t i o n s When expectations are missed, thedownside bias is dramatic Therefore,you should rarely take an overnightposition in a company that is reportingearnings after the close If you do, yournatural bias should be to trade the shortside — especially in this market environ-ment, where good earnings are often nomatch for inflationary pressure, risinginterest rates and oil prices
Because so many stocks have anupside bias in the days prior to an earn-ings report, it is best to sell into the news
if you’re long the stock, and wait for theoutcome Figure 2 is an example of whatcompanies experience when they miss
expectations
Short squeezes and profit taking.
Short squeezes and profit taking are themost common reasons stocks will tend tobuild above-average volume into theclose and cause what is called a “hook”close
In a short squeeze, a stock is in a
d o w n t rend and market makers suspect
t h e re may be many short sellers in themarket The squeeze and the hook occurwhen the professionals begin to buy thestock rapidly into the close, causing price
to rise swiftly and forcing the short ers to cover in a panic Profit taking gen-erally occurs when a stock is in a rising
sell-t rend busell-t shows a weak close nied by high volume At this point,traders with long positions begin to sellthe stock to take a profit Figure 3 shows
accompa-an example of a short squeeze, while
F i g u re 4 is an example of a hook formedSource: QCharts by Quote.com
Leading up to the earnings release on Oct 27, shares of American Power Conversion (APCC) traded from 18 to 22 in five days The earnings didn’t live up to expectations and the stock gapped nearly seven points lower the following day.
FIGURE 2 EARNINGS DISAPPOINTMENT
American Power Conversion (APCC), 10-minute
22 21 20 19 18 17 16 15 14
13 1 ⁄ 16
1,000,000 500,000
255,300
0 Volume
11 12 13 14 15 10 11 12 13 14 15 10 11 12 13 14 15 10 11 12 13 14 15 10 11 12 13 14 15 10 11 12 13 14 15 10 11 12 13 14 15 10 1 1
10/20 Friday 10/23 Monday 10/24 Tuesday 10/25 Wednesday 10/26 Thursday 10/27 Friday 10/30 Monday
Trang 10during profit taking
If you’re not in a profitable situation
from day trading the stock, you should
not take the overnight gap trade It is
best to stand aside and trade the open
the following day, after the stock gaps
open — if it does If you had a profitable
day-trading session, you can take the
overnight position if you think the
risk-re w a rd risk-relationship is satisfactory
R e m e m b e r, when going after an
overnight position, it must always be
with purpose and confidence Never
hold a losing position overnight, hopingthe stock will “come back.” That is noth-ing but gambling
S&P 500 futures S&P 500 futures are
an important consideration when taking
an overnight gap trade You should look
at the correlation between the futuresmarket and the index in relation to thegap-trading plan you have in mind Ifthe futures are moving decisively highergoing into the close, and you have otherindependent reasons for the stock inquestion to gap higher the next day, and
all other questions and factors can be
a n s w e red favorably, you could keepyour long position overnight
The point is you must have clarity andconfirmation on all levels when taking aposition overnight Still, the most signif-icant piece of information comes fromthe stock itself and how it behaved whileyou where trading and watching it in thedays prior to the anticipated gap.Without this information, you will not
be able to make a decision whether totake a gap trade or not
Gap trading is a risky business, andthe professionals who quote stocks up ordown prior to the open have a vested
i n t e rest in doing so If you were a marketmaker who made your living buying andselling stocks from the public while pro-viding liquidity to the market, wherewould you open a stock with poor newsknowing you were to receive market on
The first gap that sets the stock
in motion because of unforeseeable news
is generally not predictable.
Source: QCharts by Quote.com
On Oct 26, Amgen (AMGN) closed the day near its high on a sudden spurt of buying that was likely the result of a short
becoming resistance.
FIGURE 3 SHORT SQUEEZE
Trang 11open orders? You would open it as low as
possible, where you felt the stock was
well supported This is known (from the
market maker’s perspective) as “buying
w e a k n e s s ”
Conversely, with strong news,
know-ing you would be sellknow-ing at the open,
where would you open the stock? The
higher the better, so that you could short
stock to buyers at what would be a nificant resistance level This is referred
sig-to as “selling strength.”
This is why gaps have a greater pensity to close immediately after theopen: After the initial panic selling ormania buying has been gobbled up by themarket maker or specialist, a vacuumoften develops and the stock will re v e r s e
pro-By contrast, if the stock continues to
fol-l o w - t h rough in the direction of the gap, it’s
a strong indication that the trend will tinue
con-Remember, however, that while theserules are good to use as a guide, theyshould not be traded with indiscretion.There are many factors that impact anyindividual gap-trading situation.ÝSource: QCharts by Quote.com
Transwitch Corp (TXCC) was on its way to recovery from a sell-off in the fiber optic group Along the way, profit taking
on Oct 30 forced the price lower at the end of the day The next morning the stock gapped higher, with the buyers once again firmly in control.
FIGURE 4 PROFIT-TAKING
Transwitch Corp (TXCC), 5-minute
56 54 52 50 48 46 44 42
200,000 150,000 100,000 50,000
The market is far more unforgiving of missed earnings
than it is rewarding to earnings that meet estimates
You should rarely take an overnight position in a company that is reporting earnings after the close If you do,
your natural bias should be to trade the short side.
Trang 12Trading Strategies
&
FUTURES OPTIONS
Watching pre-market volume is a good way to determine whether
to trade or fade the opening move.
BY JOHN CARTER
distance between the
reg-ular-session opening price
and the previous day’s
closing price — are stomach-churning
events when the market makes a big
move against you, but they represent
low-risk trade opportunities if you know
which gaps are likely to be followed by
predictable patterns
In terms of the price behavior that
fol-lows opening gaps, not all markets are
created equal Gaps in individual stocks
and commodities do not act the same as
those in “multi-item” instruments such
as stock indices because a news item willcontrol the entire market instead of just aportion of it Earnings announcements,corporate scandals and other company-specific events can create gaps in a com-ponent stock’s chart that never get filled
Because of the unpredictable nature ofvarious events that can impact the price
of an individual stock, they make poorcandidates for the opening-gap trade
In contrast, stock index futures such asthe E-mini S&P (ES) or the mini-sizedDow (YM) are better candidates foropening-gap plays because they consist
of multiple components that respond
dif-f e rently to news For example, although astock index futures contract may gap up
on a news item, there will be individualstocks within the index that will either
i g n o re the news or sell off This weighsthe index down and creates a tradeopportunity as the market fills the gap
The best markets for gap plays The S&P 500 and the Dow are the bestmarkets to trade the opening gap
because of the diversity of their nent stocks Both indices re p resent collec-tions of stocks from diff e rent industriesthat are more likely to react independent-
compo-ly to news events In the heavy Nasdaq, opening price gaps cantake longer to fill because the majority ofthe stocks will react similarly to news The key to trading opening gaps isbeing able to predict the likelihood aparticular gap will be filled Dissectingthe market conditions that produce agap is as important as analyzing a gapitself For example, an opening gap fol-lowing high pre-market cash tradingvolume can take weeks to get filledbecause high volume increases the oddsthe market will continue to move in thedirection of the gap
technology-Some of the biggest gaps are caused
by major news events, such as the break of a war, but gaps caused by minornews items are much more common
out-G e n e r a l l y, such gaps are smaller, fillquickly (see Table 1) and can be “faded”(the act of trading against the direction
of the gap) more effectively Let’s look at
Between Jan 15, 2002, through
February 2004 (528 occurrences),
an average of 76 percent of all
opening gaps closed at some point
during the same day This is the
breakdown by day of week Adding
the pre-market volume filter
increased the percentages.
TABLE 1 FILLING THE OPENING
GAP: RAW DATA
The higher the volume, the greater the likelihood the market will continue
in the direction of the opening gap As a result, no trade is taken when vol ume is above 70,000.
-TABLE 2 TRADE MANAGEMENT GUIDELINES
Pre-market volume
Trang 13the specific criteria for identifying those
gaps with the best chances of reversing
The pre-market volume indicator
The most important indicator for
deter-mining which opening gaps can be
faded is the pre-market volume in a
spe-cific set of stocks
Check the pre-market volume at 9:20
a.m ET (10 minutes before the re g u l a r
cash session opens) in the following
stocks: KLA-Tencor Corporation (KLAC),
Maxim Integrated Products, Inc (MXIM),
Novellus Systems, Inc (NVLS) and
Applied Materials, Inc (AMAT) These
re p resentative stocks were selected
t h rough a trial-and-error pro c e s s
If the market is really set up to move,
there will be significant volume in the
cash market in pre-market trading If the
market is setting up for a “head fake” (a
move in one direction that is quickly
reversed), pre-market volume will be
low, which reflects a lack of conviction in
the move This is the preferred setting
for an opening-gap trade
If the pre-market stocks have each
traded less than 30,000 shares at this
time, analysis of the prior 500 trading
days shows the opening gap, up or
down, had an 80-percent chance of
fill-ing the same day However, if the
vol-ume for each stock is between 30,000
and 70,000, the gap only has about a
60-percent chance of filling that day, while
the midpoint of the gap has an
85-per-cent chance of being hit
Finally, if the pre-market volume for
each stock is above 70,000, the chances of
the gap filling that day drop to 30
per-cent In these cases, you should ignore
the news and follow the direction of the
gap Table 2 provides guidelines for
using volume information to manage
trades As the volume increases, the
position size shrinks and the
profit-tak-ing becomes more conservative
If one stock has volume above 70,000
but the others are below the threshold,
check to see if the news pertains to this
company alone If it does, ignore it If the
news is not specific to the company,
trade the more conservative position
The strategy
Figure 1 is a five-minute chart of the
mini Dow futures You can use any timeinterval — a one-minute, five-minute or15-minute chart, etc — as long as youcan view the opening This means thechart must be set up to reflect the open-ing and closing of the regular tradingsession, 9:30 a.m to 4 p.m ET (4:15 p.m
for stock index futures prices) Manytraders are used to watching a separatechart of the continuous 24-hour futuressession, but of course, opening gaps
won’t show up
Figure 1 shows the first day in a set ofback-to-back earnings announcementsthat caused opposite reactions in themarket On the morning of Oct 15, 2003,
the Dow gapped up 47 points as a result
of a positive earnings report from Intel(INTC) On this day, pre-market volumewas below 30,000
As a result, the appropriate trade is toimmediately short the gap on the openusing a full position size, as indicated inTable 2 To keep things simple, we’ll usenine contracts as a full position, whichmakes a two-thirds position six contractsand a one-third position three contracts
We will use a $100,000 account, whichmeans we are trading one contract foreach $11,100 in the account for a full posi-tion Although you can trade a mini Dow
or E-mini S&P contract with only a few
Mini Dow futures (YM), five minute
Gap is filled for a 47-point gain, or $235 per contract (47 points x $5 per point).
11:00 12:00 13:00 14:00 15:00 9:00 10:00
10/15/03
9,8309,8209,8109,8009,7909,7809,7709,7609,7509,7409,7309,7209,7109,700
This 47-point-plus opening gap in the mini Dow futures was filled in the first hour of trading for a $235 per-contract profit.
FIGURE 1 THE OPENING GAP
Source: eSignal
If the market is poised to move, there will be significant pre-market volume
in certain stocks.
Trang 14FUTURES OPTIONS & Trading Strategies continued
thousand dollars, this trading plan
con-t rols risk by limicon-ting exposure re l a con-t i v e
to the amount of available capital Use a 1:1.5 re w a rd/risk ratio (risking1.5 points to make 1 point) for gaptrades that are less than 40 mini Dow
points or 4 E-mini S&P p o i n t s For gaps
l a rger than these, use a 1:1 re w a rd / r i s kratio In the case of Figure 1, we wouldrisk 47 points to make 47 points If thegap had been 30 points, we would risk
45 points
Some traders might question an
a p p roach that risks more than thepotential profit Most beginning tradersare taught to use a 3:1 reward/riskratio, risking 1 point to gain 3 Theyinevitably wonder why they are repeat-edly stopped out just before the marketturns In general, wider stops producemore winning trades; the key is to tradeonly those setups with a better than 80-percent chance of winning
The market sold off immediatelyafter the bell, filling the opening gapwithin an hour Ironically, the next dayIBM came out with a disappointingearnings report, knocking the market
down on the open Figure 2 shows the
resulting buy setup had just a smallopen loss at one point, although manytraders might have been stopped out
on the pullback around 11 a.m ET.However, keep in mind the strategy
is to maintain a reward/risk ratio of1:1, not to tighten your stop whenthe market moves in your favor Ifthe stop had been hit, the loss wouldhave been approximately $305 percontract ($2,745 for the nine-contractfull position), not including slippageand commissions This loss is rea-sonable because of the 80-percentsuccess rate of the setup
Using a tighter initial stop or ing stop would have turned thisposition into a losing trade or, atbest, a breakeven trade Using therisk parameters designed for thistrade setup allowed the position toremain open until the gap was filledfor a gain of 61 points As a rule,using a trailing stop will negativelyaffect the gap trade’s win/loss ratio When the trade is executed, thebest thing a trader can do is to walkaway and let the orders do theirwork This is the diff e rence between
trail-p rofessionals and amateurs:
P rofessionals won’t second-guess a
E-mini S&P 500 continuous contract (ES), five minute
The E-mini S&P futures made a downside opening gap on Aug 2, 2004, on terrorist
threats The market spent most of the day filling the gap.
FIGURE 3 EMOTIONS TRIGGER GAP
Source: TradeStation
Mini Dow futures (YM), five minute
Gap filled for a 61-point gain, or $305 per contract.
15:00 9:00 10:00 11:00 12:00 13:00 14:00
10/16/03
9,8009,7909,7809,7709,7609,7509,7409,7309,7209,7109,700
One day after the trade setup shown in Figure 1, the mini Dow contract
opened lower, setting up a long trade.
FIGURE 2 THE DAY AFTER
Source: eSignal
Trang 15trading methodology, while
ama-teurs are constantly adjusting
Ignore the reasons for the gap
The size or cause of a gap has little
impact on whether or not it will be
filled Figure 3 shows an example
of emotions triggering an opening
price gap when, on Aug 2, the
market gapped down on the open
because the U.S government
issued a terror warning the
previ-ous day There were rumors of a
plan to blow up a large financial
institution
H o w e v e r, after a choppy first
half of the day, the market firmed,
shorts got nervous and started
cov-ering, and the gap was filled by
1:30 p.m ET for a 6.75point S&P E
-mini profit ($337.50 per contract)
Relax and trade
F i g u re 4 shows a 15-minute chart of
the September mini Dow future s
(YMU04) with an opening gap on
Aug 18 that did not get filled for
six trading days (Other opening
gaps occurred before price
eventu-ally filled the first gap.) On this day,
the mini Dow gapped up a modest
44 points prior to the release of some
economic numbers The pre-market
vol-ume was modest, between 30,000 and
70,000 shares for the key stocks, so the
a p p ropriate step was to short a
two-t h i rds-size positwo-tion on two-the open
The market rallied, sold off a little just
prior to the economic numbers, and then
shot higher once the numbers were
released Using the 1:1 reward/risk ratio
resulted in a 44-point stop The market
never retraced to the gap’s midpoint
level (where half the position could be
c o v e red), and instead rallied right
through the stop, producing a loss of
$220 per contract For a two-thirds
posi-tion (six contracts) the loss was $1,320
This move left an open gap below the
market The next day the market opened
modestly lower, triggering a long trade
that resulted in a quick $65-per-contract
profit ($585 total) The following day the
market opened 52 points lower and
filled the gap a few hours later for a
$ 2 6 0 - p e r-contract profit ($2,340) The
next day, the market gapped up 44
points, triggering a short trade that came
close to the stop-loss point, but
eventual-ly filled the gap for a $255-per-contract
profit ($2,295) All these gaps followedlight pre-market volume, so they wereexecuted with full positions
On Aug 22, 2003, Intel announced
“cautious upside earnings re v i s i o n s ”The market exploded to the upside andgapped right above key resistance Thetrade was to short the 62-point gap with
a full-size position Six bars later, the get was hit for a 62-point profit, or $310per contract ($2,790)
tar-During the afternoon session, the ket traced out a bear flag pattern Wi t hthe opening gap under the market stillunfilled, the trade was to place a sell stop
mar-at 9,392 to let the trend of the market tiate the trade based on a breakdown ofthe flag The entry stop was filled and therisk point for the trade was above intra-day resistance at 9,455.The target was theAug 18 gap at 9,304 The market spentthe rest of the day trending lower, fillingthe gap and resulting in an 88-point gain,
ini-or $440 per contract ($3,960)
A brief window of opportunityThe market’s nature is to prevent asmany people as possible from consis-tently making money, which is why it iscrucial for a trader to follow rules for
each type of trade setup
Gaps are the one moment of the ing day where everyone has to showtheir poker hand, and this creates a bigadvantage for short-term traders.Understanding the dynamics behindopening gaps is paramount to tradingthem successfully.Ý
trad-For information on the author see p 10.
Mini Dow September futures (YMU04), 15 minute
Gap of +62 pointsfills in 6 bars
Short break of bearflag Target is gapfrom 8/18
Gap of +44 points fills in 9 bars
Gap of -52 points fills in 9 barsGap of +13 points
fills in 1 bar
Gap on 8/18 of +44 pointsfills on 8/25
8 / 1 8 1 3 : 1 5 8 / 1 9 1 1 : 4 5 1 4 : 1 5 8 / 2 0 1 2 : 4 5 8 / 2 1 1 3 : 4 5 8 / 2 2 1 2 : 1 5 8 / 2 5 1 3 : 1 5 8 / 2 6
9,5009,4809,4609,4409,4209,4009,3809,3609,3409,3209,3009,280
The first opening gap on this chart — which remained unfilled for the next six days — set up a short trade that was stopped out for a loss Subsequent opening gap trades were more successful.
FIGURE 4 MULTIPLE GAPS
“Morning reversal strategy” by Bryan
C Babcook and Arthur Agnelli,May 2003, p 36
“Technical Tool Insight: Gaps,” April
Trang 16System concept: Most traders are familiar
with the technical analysis axiom, “All gaps
are eventually closed.” A gap occurs when a
price bar’s high is lower than the previous low
or its low is higher than the previous high A
significant gap creates a void in which no
trades occur, as shown in Figure 1 An
“open-ing gap” occurs when price opens above the
previous high or below the previous low; such
gaps can be filled the same bar, in which case
no visible bar-to-bar gap (such as the one in
Figure 1) will appear on the chart
The idea that gaps are eventually closed
stems from the absence of trades within the
range of the gap Because there are no traders
who are holding positions within the gap zone
(some may have entered positions earlier in
the chart’s history), there is an absence of the
upside resistance that is typically caused by traders seeking to
exit at breakeven or a profit-target level Because of this lack of
resistance, price often moves sharply to close the gap when itfirst recovers and penetrates the gap zone This type of price
movement can also lead to the “islandreversal” pattern, which occurs when agap in one direction is followed by (afterone or more intervening bars) a gap in theopposite direction
This test is designed to see if the axiomregarding closing gaps holds water Thesystem tested here goes long the day after
a large gap down and holds the positionuntil price reaches the low of the barimmediately before the gap — i.e., whenthe gap is closed
This “system” is for experimental poses only The goal is to test the effective-ness of trading gaps in the simplest waypossible; no protective stops are included.Because of this, positions can be heldindefinitely and result in substantial draw-downs when gaps are never closed If youwanted to actually trade a gap-based sys-tem, you would most likely use a protec-tive stop to protect against these losses
pur-Rules:
1 Enter long on the open the day after a
down gap greater than the 20-bar age true range (ATR) is completed
aver-2 Place a limit order to sell the position at
the low price of the bar that
immediate-ly preceded the gap
3 The system will maintain multiple
E q u i t y Cash Linear reg
FIGURE 1 EQUITY CURVE
3/3/93 1/7/94 1/3/95 1/2/96 1/2/97 1/4/99 1/3/00 1/2/01 1/2/02 1/2/03Gap closer
FIGURE 2 SAMPLE TRADES
Source for all figures: Wealth-Lab Inc (www.wealth-lab.com)
Apple Computer (AAPL), daily
The system went long when Apple Computer gapped down more than 13 percent on
June 19, 2002 Price started moving in the direction of closing the gap, but another
down gap occurred on July 17, 2002, causing a new long position to be established.
The frequency of down gaps increased after the broad market topped out in early
2000 The system exposure (light green area) increased substantially after this point Note that many of these gaps are still open.
Trang 17open long positions (see Figure 2).
4 Hold the position indefinitely until the gap is
closed and the limit sell is triggered
Money management:Risk 9 percent of account
equity per trade This level was chosen because
it was the largest position size that allowed all
gaps to be traded during our test period
Starting equity: $100,000 ($10
slippage/com-mission deducted per trade)
Test data: The system was tested on the Active
Trader Standard Stock Portfolio, which contains
the following 18 stocks: Apple Computer
(AAPL), Boeing (BA), Citibank (C), Caterpillar
(CAT), Cisco (CSCO), Disney (DIS), General Motors (GM),
Hewlett Packard (HPQ), International Business Machines
(IBM), Intel (INTC), International Paper (IP), JPMorgan Chase
(JPM), Coke (KO), Microsoft (MSFT), Sears (S), Starbucks
(SBUX), AT&T (T) and Wal-Mart (WMT)
Test period:January 1993 through January 2003
System results: A total of 62 gaps occurred during the 10-year
test period Of these, 50 (80 percent) were closed for a profit
The remaining 12 gaps were open at the end of the test period
The average profit for the closed gaps (which took, on
aver-Disclaimer: The Trading System Lab is intended for educational purposes only to provide a perspective on different market concepts It is not meant to recommend or promote any trading system or approach Traders are advised to do their own research and testing to determine the validity of a trading idea Past performance does not
LEGEND: Net profit — profit at end of test period, less commission •
Exposure — the area of the equity curve exposed to long or short positions, as
opposed to cash • Profit factor — gross profit divided by gross loss • Payoff
ratio — average profit of winning trades divided by average loss of losing
trades • Recovery factor — net profit divided by max drawdown • Max DD
(%) — largest percentage decline in equity • Longest flat days — longest
period, in days, the system is between two equity highs • No trades — num
-ber of trades generated by the system • Win/Loss (%) — the percentage of
trades that were profitable • Avg profit — the average profit for all trades •
Avg hold time — the average holding period for all trades • Avg profit
(winners) — the average profit for winning trades • Avg hold time
(win-ners) — the average holding time for winning trades • Avg loss (losers) —
the average loss for losing trades • Avg hold time (losers) — the average
holding time for losing trades • Max consec win/loss — the maximum
number of consecutive winning and losing trades
LEGEND: Avg return — the average percentage for the period • Sharpe ratio
— average return divided by standard deviation of returns (annualized) • Best return — best return for the period • Worst return — worst return for
the period • % Profitable periods — the percentage of periods that were prof itable • Max consec profitable — the largest number of consecutive prof - itable periods • Max consec unprofitable — the largest number of consec - utive unprofitable periods
-Trading System Lab strategies are tested on a portfolio basis (unlessotherwise noted) using Wealth-Lab Inc.’s testing platform
If you have a system you’d like to see tested, please send the ing and money-management rules to editorial@activetradermag.com
trad-age, 100 trading days to close) was just under 11 percent Bycomparison, the average loss of the 12 gaps that are still open
is a sharp -32 percent, and the average number of trading daysthey have been open is about 350 (about one and a half years).That most of the gaps in the test portfolio within the past 10years have been closed reinforces the idea that gaps do have atendency to get filled — although it often takes a while.However, the damage done by the minority of gaps that didnot close wiped out most of the profits achieved from themajority of gaps that did close This leads to the conclusionthat trading gaps on their own entails significant risk
However, it is possible to combine gaps with other tradingtools and methods The old saying, “All gaps are eventuallyclosed,” may not be totally accurate, but knowing the odds aregood that a certain price target will be reached can play animportant role in a trading strategy.Ý
— Compiled by Dion Kurczek of Wealth-Lab Inc.
FIGURE 3 DRAWDOWN CURVE
P r o f i t a b i l i t y Trade statistics
D rawdown Avg loss (losers) %: - 3 1 8 0
STRATEGY SUMMARY
PERIODIC RETURNS
As more gaps were opened and more long positions established,
a large drawdown began in 2000.
Trang 18System concept:The stock Trading System Lab (p 54)
fea-tured an experimental system designed to trade gaps The
intention was to go long on every down gap and hold the
position until the gap was closed (if it ever closed) This
pro-vides useful information about the dynamics of gap
behav-ior
However, it is not possible to hold a losing futures
posi-tion in a similar manner because the higher leverage in
futures results in losses of a much larger magnitude Taking
this into account, the futures system goes long right when
price is starting to fill a down gap The absence of resistance
in the price void of the gap should provide positive
momen-tum for a long trade Based on the results of the stock test, it
is likely most of the gaps will be filled
In addition, this system uses three different exits to
pro-tect capital while giving trades room to breathe The
strate-gy uses a breakeven stop entered soon after the trade is
prof-itable to protect against a reversal When the gap is not filled
and prices do not reach our breakeven level, we employ a
wide stop-loss order
The system should have a large number of winning and
breakeven trades, and a small number of large losses
Because of the high expected win-loss ratio, the strategy uses an
aggressive maximum risk setting (10 percent equity loss per
trade) All traders must weigh these considerations and mine their personal risk tolerance when deciding on the stop-
deter-loss and maximum risk levels
Rules:
1 A long entry setup occurs when there is
a down gap greater than the 20-bar age true range (ATR) Multiple open trades are acceptable
aver-2 Go long on a buy stop order at the high
of the down-gap bar plus one tick
3 Exit with a profit using a limit order at
the low of the bar that preceded the down gap
4 Place a stop-loss order below the entry
price that is three times the distance between the entry price and the profit target level
Note: Wait until the close of the entry bar
before placing the profit target and loss orders
stop-5 As soon as the contract closes with a gain
of at least one percent, place a breakeven stop to exit at the entry price.
Risk control and money management:
1 Starting equity: $100,000 Deduct $10
slippage/commission per contract (entry and exit)
2 The number of contracts to buy is
deter-mined by calculating the distance between the entry price and the initial stop-loss level Buy the number of contracts that results in a maximum loss
FIGURE 2 SAMPLE TRADES
Gold futures (GC), daily
Equity Cash Linear reg
FIGURE 1 PORTFOLIO EQUITY CURVE
8/16/93 7/4/94 6/2/95 5/1/96 4/1/97 3/2/98 1/3/00 1/2/01 1/2/02
Trading System Lab
FUTURES
Gap closer
Gaps in gold trigger two trades The green lines represent the entry points and the red lines
represent the profit-target exits Notice how prices gapped up to close the first gap down,
forming an island reversal The second gap also closed, but not before the trade was
stopped out Increasing the stop-loss distance would have turned this trade into a winner.
The equity curve exhibits some volatility, but also an overall upward bias and extremely low market exposure This is a result of the small number of trades, as well as their short holding periods.
Trang 19LEGEND: Avg return — the average percentage for the period • Sharpe ratio — average return divided by standard deviation of returns (annualized)
• Best return — best return for the period • Worst return — worst return
for the period • % Profitable periods — the percentage of periods that were profitable • Max consec profitable — the largest number of consecutive profitable periods • Max consec unprofitable — the largest number of consecutive unprofitable periods
Test data: The system was tested on the Active Trader
Standard Futures Portfolio, which contains the
follow-ing 20 futures: DAX30 (AX), corn (C), crude oil (CL),
German bund (DT), Eurodollar (ED), Euro Forex (FX),
gold (GC), copper (HG), Japanese yen (JY), coffee (KC),
live cattle (LC), lean hogs (LH), Nasdaq 100 (ND),
natu-ral gas (NG), soybeans (S), sugar (SB), silver (SI), S&P
500 (SP) and10 year T-Notes (TY)
Test period: This test used ratio-adjusted data (from
Pinnacle Data Corp.) spanning August 1993 to
November 2002
Test results: There were a total of 69 trades during the
test period This was less than the number of gaps that
occurred, but because the system enters as price begins
to penetrate the gap, there could be setups that have not
trig-gered trades yet Eleven of the trades trigtrig-gered our breakeven
stop and were closed at the breakeven level Ten trades were
losers, while 48 were winners This confirms our expectation of
the system’s win-loss behavior
Counting breakeven trades as losers, the system had a
win-loss ratio of nearly 70 percent The average profit of winning
Trading System Lab strategies are tested on a portfolio basis (unlessotherwise noted) using Wealth-Lab Inc.’s testing platform
If you have a system you’d like to see tested, please send the ing and money-management rules to editorial@activetradermag.com
trad-Profitability Trade statistics
STRATEGY SUMMARY
LEGEND: Net profit — profit at end of test period, less commission •
Exposure — the area of the equity curve exposed to long or short positions, as
opposed to cash • Profit factor — gross profit divided by gross loss • Payoff
ratio — average profit of winning trades divided by average loss of losing
trades • Recovery factor — net profit divided by max drawdown • Max DD
(%) — largest percentage decline in equity • Longest flat days — longest
period, in days, the system is between two equity highs • No trades — num
-ber of trades generated by the system • Win/Loss (%) — the percentage of
trades that were profitable • Avg gain — the average profit for all trades •
Avg hold time — the average holding period for all trades • Avg gain
(winners) — the average profit for winning trades • Avg hold time
(win-ners) — the average holding time for winning trades • Avg loss (losers) —
the average loss for losing trades • Avg hold time (losers) — the average
holding time for losing trades • Max consec win/loss — the maximum
number of consecutive winning and losing trades
Disclaimer: The Trading System Lab is intended for educational purposes only to provide a perspective on different market concepts It is not meant to recommend or promote any trading system or approach Traders are advised to do their own research and testing to determine the validity of a trading idea Past performance does not
trades was 2.54 percent, while the average loss of losing tradeswas -2.65 percent Overall, these are very positive statistics,considering the degree to which the win-loss ratio is leaningtoward the win column
The similar behavior of gaps in stocks and futures is esting By analyzing the behavior of gaps in one market wewere able to design a profitable system based on the same phe-nomenon in a different market
inter-The message of this strategy is that it is worthwhile to payattention to gaps, especially when prices start to fill a gap Thelack of resistance in the gap area can be exploited if you can actquickly enough
— Compiled by Dion Kurczek and Volker Knapp of Wealth-Lab Inc.
PERIODIC RETURNS Avg Sharpe Best Worst % Max Max return ratio return return Profitable consec consec.
periods profitable unprofitable
Trang 20STOCK INDEX FUTURES TRADING COLLECTION
“Using the TICK to identify the intraday trend”
“Counterpunch stock index futures system"
“Extreme open-close days”
“The Fibonacci Swing Filter”
“Trading the opening gap”
“Hitting the street: The S&P 500 futures' intraday reactions to economic reports”
“Sector vs index: The single stock futures-Dow spread”
“Trading the basis: How stock index arbitrage impacts the market”
“Stock index spreads: S&P vs Naz”
“The multibar range breakout system”
“Following through in the S&Ps”
“Getting in on follow-through days”
“Follow-through in the E-Mini Nasdaq 100”
“Up-down volume and next-day follow-through”
“E-Mini morning reversal and afternoon breakout patterns”
“The telltale spread”
Trang 21T he TICK indicator measures
intraday momentum in
New York Stock Exchange
(NYSE) stocks by tracking
the difference between upticking stocks
(last price higher than previous price)
and downticking stocks (last price lower
than previous price) The TICK subtractsthe number of downticking stocks fromthe number of upticking ones to gener-ate a momentum snapshot of the market
at any given time
For example, if at 10 a.m 2,000 stockswere trading higher than their previous
prices while 1,500 stocks were tradinglower than their previous prices, theTICK value would be +500 (2,000-1,500).Traders typically use the TICK indicator
to gauge the level of buying or sellingpressure throughout the day If the TICKreading is high, the market is showing
“internal” strength, which is differentfrom the “outward” price movement According to popular interpretation,TICK levels that correspond with priceaction help confirm the market’s direc-tion, but TICK values that diverge fromprice can warn of possible reversals Forexample, a typical bullish signal occurswhen the S&P 500 is climbing when theTICK is positive (or trending higher).However, if the S&P 500 is rising but theTICK turns negative (or trends lower),the rally could be nearing its end (Formore information on the TICK, see
“TICK basics.”)
From analysis to trading
This kind of analysis depends on
logical-ly defining “high” or “low” TICK ings The following study analyzedintraday TICK behavior in the past fiveyears to find potentially bullish andbearish TICK levels However, theresulting trade strategy also relied onNYSE volume analysis and price action
read-to confirm the intraday trend and
gener-The second-largest NYSE volume occurred in the first 15 minutes of trading,
which is a good time to determine the daily trend because price moves are
more meaningful when backed by large volume
FIGURE 1 FIVE-YEAR AVERAGE NYSE VOLUME (15-MINUTE INTERVALS)
Using the TICK
TO IDENTIFY THE INTRADAY TREND
Analyzing TICK readings over the past five years provides
the foundation for an intraday trend strategy
BY DAVID BEAN
TRADING Strategies
Trang 22ate trade signals
The focus was on the first 15 minutes
of the daily trade session because over
the past five years the NYSE’s
second-largest volume has occurred during this
period Above-average TICK readings
generate buy signals at 9:45 a.m ET By
contrast, sell signals require
below-aver-age TICK readings along with
down-ward price moves (gaps or weakness)
within the first 15 minutes
The logic of this approach is that
high-volume periods combined with price
moves and TICK readings in the same
direction help determine the trend for
the rest of the day
Trend clues at market’s open
Figure 1 shows the NYSE’s average
vol-ume of more than 3,700 stocks in
15-minute intervals from 9:30 a.m to 4 p.m
ET over the past five years While
vol-ume is highest in the last 15 minutes of
trading, the second-highest volume
occurred in the first 15 minutes of the
regular session — from 9:30 a.m to 9:45
a.m
The day’s open and close stand out
because institutional traders must
exe-cute large amounts of market-on-open
and market-on-close orders; the price
moves that occur during these periods
can leave clues about the market’s likely
direction Although you can trade stocks
and stock-index futures in the
after-hours electronic market, those markets
offer very little volume to offset
posi-tions against overnight breaking news
while the U.S stock market is closed for
17.5 hours
Defining TICK thresholds
Table 1 shows statistics behind the TICK
indicator’s historical behavior over the
past five years Overall, the TICK had a
bullish bias The average daily TICK
high was nearly twice as large as the
daily low (+1,007 vs -673) Also, the
TICK’s average close after 15 minutes
was not only above zero (+201) but
exceeded +300 almost six times as often
as it fell below -300 Buy and sell signals
must take this upside bias into account
The strategy’s bullish and bearishthresholds are based on the TICK’s aver-age close of +201 after 15 minutes Thereare thresholds for both high and lowreadings as well as for where the TICKcloses The high and low thresholds are+750 and -350, which are approximately+/-550 from the average close of +201;
the closing TICK thresholds are +500and -100, which are approximately+/- 300 from the average close of +201
This means the TICK is bullish if iteither reaches +750 within the first 15minutes of trading or closes above +500
at 9:45 a.m Similarly, the TICK is bearish
if it drops below -350 within the first 15
TICK basics
The TICK is a very short-term (intraday) indicator that measures the
bullish (upticking) or bearish (downticking) activity in NYSE stocksthroughout the day TIKI is the symbol for the same indicator calcu-lated on Dow Jones Industrial Average stocks; some data services alsosupply the TICK calculated on Nasdaq stocks
The TICK is a breadth indicator that gives traders an intraday look at the nal” strength or weakness of the market — that is, the strength or weaknessbeyond whether the overall market is up on a point or percentage basis By com-paring the number of stocks advancing to stocks declining, the indicator reflectsthe market’s up or down momentum at a given moment
“inter-For example, if the S&P 500 index is up marginally but downticking stocks areconsistently outnumbering upticking stocks (and the number of downtickingstocks is increasing, reflected by a downtrending TICK indicator), it is likely thatonly a relative handful of strong stocks are propping up the overall market.When buying completes in these stocks, a down move may result
Two contrarian uses of the TICK indicator are to look for divergence betweenprice and the indicator, and to use high or low TICK readings to identify momen-tum extremes (similar to how many traders use oscillators like the relativestrength index or stochastics to locate overbought and oversold points)
A divergence occurs when price makes a new high (or low) but the TICKmakes a lower high (or higher low), failing to confirm the price move and warn-ing of a slackening of momentum and potential stall or reversal A similar phe-nomenon would be a steady trend in the TICK that runs counter to the trend ofthe market Extreme high or low TICK readings sometimes accompany marketclimaxes
Because the TICK is a snapshot of the market at a given moment (and is thusvery volatile), it can be deceptive Because of this, the TICK is commonlysmoothed with a 10-period moving average to remove some of the “noise” andbetter reveal the indicator’s direction and patterns
The TICK has had a bullish bias over the past five years Its aver- age daily high is nearly double its daily low, its average close every
15 minutes was +201, and it exceeded +300 nearly six times as often as it dropped below -300 (based on 15-minute intervals)
TABLE 1 FIVE-YEAR TICK STATS
TICK value
Avg closing value
No of 15-minutecloses above +300: 12,855
No of 15-minute
Trang 23minutes or closes below -100 at 9:45 a.m.
Trade rules
There are three long-entry and five
short-entry rules Although each rule is
independent, meaning it could be tested
individually, all eight rules are combined
to make a single system designed to
trade the S&P 500 E-Mini futures (ES)
The rules were also tested on the Russell
2000 E-Mini (ER2), Midcap 400 E-Mini
(EMD), Mini Dow (YM), and Nasdaq
100 E-Mini (NQ)
Long entries (at 9:45 a.m ET):
1 If the TICK’s high > +750 and the
TICK’s low > -350, buy at the
market.
2 If the TICK’s close > +500 and the
TICK’s low > -350, buy at the market.
3 If the close of the first 15-minutebar > the open + the average range (high - low) of all 27 of yesterday’s 15-minute bars, and the TICK’s
low > -350, buy at the market.
Short entries (at 9:45 a.m ET):
1 If today’s open > yesterday’s low - (2 * the average range of all 27 of yesterday’s 15-minute bars), the TICK’s low < -350, and the TICK’s
high < +750, sell short for the next
15 minutes (until 10 a.m.) at today’s open (limit)
2 If today’s open > yesterday’s low - (2 * the average range of all 27 of
yesterday’s 15-minute bars), the TICK’s close < -100, and TICK’s
high < +750, sell short for the next
15 minutes (until 10 a.m.) at today’s open (limit)
3 If the close of the first 15-minute bar > the previous day’s close, the TICK’s low < -350, and the TICK’s
high < +750, sell short for the next
15 minutes (until 10 a.m.) at yesterday’s close (stop)
4 If the close of the first 15-minute bar > the previous day’s close, the TICK’s close < -100, and the TICK’s
high < +750, sell short the next 15
minutes (until 10 a.m.) at yesterday’s close (stop)
5 If the close of the first 15-minute bar < the open - the average range
of all 27 of yesterday’s 15-minute bars and the TICK’s high < 750,
then sell short at the market Exit:
1 Stop-loss = R * contract’s point value * average range of all 27 previous 15-minute bars since the same time yesterday (R = multiplierthat can be optimized for each market or risk preference; default
The other two rules don’t wait foreither TICK threshold to be met To trig-ger a buy signal, price must climb fur-ther than the average range of all of yes-terday’s 15-minute bars (long rule 3), orprice must drop the same distancebefore selling short (short rule 5)
Strategy code
Tradestation EasyLanguage Code
{Data1 is @ES.D or any of the following: @ER2.D, @YM.D, @NQ.D, @EMD.D
Data2 is $TICK Both Data1 and Data2 are 15 minute charts – a custom
ses-sion should be built for @YM.D to trade between 8:30 am CST and 3:15 pm CST
If Time=945 and Open > LowD(1) - 2*Average(Range,27) and L of data2 < -350
and H of data2 < 750 Then Sell Short Next Bar at OpenD(0) Limit;
If Time=945 and Open > LowD(1) - 2*Average(Range,27) and C of data2 < -100
and H of data2 < 750 Then Sell Short Next Bar at OpenD(0) Limit;
If Time=945 and C > C[1] and L of data2 < -350 and H of data2 < 750 Then Sell
Short Next Bar at CloseD(1) Stop;
If Time=945 and C > C[1] and C of data2 < -100 and H of data2 < 750 Then
Sell Short Next Bar at CloseD(1) Stop;
If Time=945 and C>(O + Average(Range,27)) and L of data2 > -350 Then Buy
Next Bar at market;
If Time=945 and C<(O - Average(Range,27)) and H of data2 < 750 Then Sell
Short Next Bar at market;
SetStopLoss(R*BigPointValue*Average(Range,L1));
SetExitonClose;
Strategy code can be copied at www.activetradermag.com/code.htm.
Trang 24However, these rules still require the
TICK to remain above its average low
(-350) or below its average high (+750),
respectively
The first four short rules must be
exe-cuted using stop or limit orders For
example, if price climbs above day’s close by 9:45 a.m., it must dropback to that point before the system sellsshort with a stop order in the second 15minutes of the trading session (until 10a.m.) Also, if the opening price gaps
yester-below yesterday’s close, the strategysells short with a limit order at today’sopen in the second 15 minutes That gap,however, must be smaller than twice theaverage range of yesterday’s 15-minutebars
The stop-loss depends
on the average range ofyesterday’s 15-minute bars,the contract’s point value,and a multiplier (R) toadjust the stop size If thatstop-loss isn’t hit, the sys-tem holds the trade untilthe end of the day to letprofits run
Trade example
Figure 2 shows a 15-minutechart of the March 2006S&P 500 E-Mini futures(ESH06) on Feb 2 Themarket dropped slightly atthe open, and the TICKreadings at 9:45 a.m werelow (-383), high (+125), andclose (+99) The S&P 500had a short bias because theTICK’s low was below thebearish threshold of -350and its high was below thebullish level of +750.The system placed alimit order at 9:45 a.m atthe E-Mini’s opening price(1,284.00), and the S&P 500
The S&P 500 E-Mini fell slightly on Feb 2, and the TICK low (-383) was bearish by 9:45
a.m because it dropped below the lower threshold (-350) The system sold short at
1,284, and the S&P E-Mini sold off throughout the day — a gain of 12.75 points.
FIGURE 2 TRADE EXAMPLE
Source: Tradestation 8.1
The strategy was profitable across the major indices in different time periods All markets had a favorable percentage of gains, and all but one had average profits per trade of at least $54.72 However, the Nasdaq 100 didn’t perform as well.
TABLE 2 OVERALL TEST RESULTS
Start No of Profit Drawdown Percentage Avg Profit Avg Avg Ratio
Trang 25hit this price between 9:45 a.m and 10
a.m., going short 0.25 points from the
day’s high The market sold off
through-out the day, and the system exited at the
close (1,271.25) for a 12.75-point gain
The Russell 2000 E-Mini, Midcap 400
E-Mini, and mini Dow all took similar
trades as each of these markets climbed
back to the open and then dropped No
trade was triggered in the Nasdaq 100
E-Mini because this market didn’t trade
back to the open
Test results
The TICK strategy was tested on cal intraday price data going back atleast three years in the S&P 500 E-Minifutures, Russell 2000 E-Mini, Midcap 400E-Mini, Mini Dow, and Nasdaq 100 E-Mini Table 2 (p 5) shows results foreach index in different time periods fromSept 11, 1997 to Feb 1, 2006
histori-For comparison purposes, each indexwas also tested over the same time peri-
od — Jan 1, 2003 to Feb 1, 2006 (Table
3) Comparing Tables 2 and 3 shows thatalthough the average profit per tradedropped in recent years, the averagetrade is still large enough (at least
$39.79) to make money after slippageand commission costs (The Nasdaq 100E-Mini’s average profit of $15.21 wasthe exception to this rule.) Average prof-its fell because the markets’ daily rangeshave decreased in recent years The system trades often — roughlythree times a week in each market overthe past three years, or 500 trades in 750trading days
Overall, the system caught roughly
10 percent of the S&P 500’s 50-day age daily trend For example, if the S&PE-Mini has a 10-point daily range, andthe system captures 10 percent of it,then its average profit is one point($50) This roughly matches the sys-tem’s average profit in the S&P 500 inboth time periods (As of Feb 1, theS&P E-Mini’s 50-day average range was9.84 points.)
aver-Further research
One idea that deserves additional tion is to sell rallies short when the TICKsignals a downtrend, or buy dips after itsignals an uptrend at 9:45 a.m
atten-Instead of trading just one contractafter any of the eight rules signal a trade,you could trade multiple contracts (e.g.,one for each signal) However, you’dhave to limit short positions to three tobalance the size of long and short trades
in the market.Ý
Related reading
“The Crown pattern”
Active Trader, January 2004.
Here’s a way to use some specific calculations to improve the odds of trading
a variation of a classic chart pattern — on an intraday basis
“Intraday trading with the TICK”
Active Trader, April 2002.
Find out how the TICK indicator can complement other trading tools in
identi-fy low-risk trades Here’s how one trader combines the TICK with support and
resistance analysis and retracement levels
“Indicator insight: TICK/TIKI”
Active Trader, March 2001.
How to calculate and interpret the TICK, a popular short-term indicator that
measures intraday buying and selling pressure
You can purchase and download past articles at
www.activetradermag.com/purchase_articles.htm.
Performance suffered slightly in this second test because the markets’ daily ranges narrowed in the past three years However, most markets remained profitable even if you consider slippage and commission costs (not included)
trades profitable profit per factor winning losing avg win/
Trang 26Markets: Stock index futures.
System logic: This is basically the same countertrend
system tested on the Dow Jones stocks in the equity
Trading System Lab The only difference is the system
trades the futures markets in this test a little more
aggressively: There are only three markets (the S&P 500,
Nasdaq and Dow futures), and the lower margin
requirements of futures mean less money is tied up in
each position
As a result, when a trade reaches an initial exit level
(see Rules, below) the system will exit only one-third of the
posi-tion; the remaining two-thirds will be exited upon reaching the
sec-ond exit level (By comparison, the stock system exited trades in
two equal portions.) However, the actual rules for where and when
to enter and exit are the same
Two-thirds of the position is left open because the trailing stop
generates profits that are a tad better and more reliable than the
simple stop-loss exit Had the stop-loss exit turned out to be the
more reliable of the two, the relationships would have been
reversed This is simply a way to make the most of the statistical
traits of the system while limiting losses and locking in profits
(This approach was not used for the stock system because the same
relationship wasn’t as clear Also, the original position is smaller for
stocks, which makes trading in smaller and uneven-sized
incre-ments, i.e., thirds or quarters, etc., less feasible.)
Rules:
1 Go long tomorrow on the open if a) today’s close is below both
yesterday’s close and the close of the previous week, b) yesterday’s
close is below the previous day’s
close and c) the close of the previous
week is below the close of the week
before that
2 Exit one-third of the position with
a loss if the trade goes against you by
1 percent
3 Exit one-third of the position with
a profit if the trade goes your way by
4 percent
4 Exit two-thirds of the position
with a profit or loss if the trade
moves 1.6 percent away from your
maximum open profit (i.e., use a
trail-ing stop 1.6 percent away from the
high of the trade)
5 Exit two-thirds of the position
with a profit if the trade goes your
way by 4.5 percent
6 Exit the entire position after eight
days in the trade
Reverse the rules for short trades
Money management:Risk 6 percent
of available equity per market The
number of contracts to trade (CT) is
Counterpunch stock
index futures system
determined by the following formula:
CT = AC * PR / 4TR
where
AC = Available capital
PR = Percent risked 4TR = Four times the true range for the day preceding the entry
Test period:January 1993 to July 2002
Test data:Daily prices for the S&P 500, Nasdaq 100 and DowJones Industrial Average futures contracts $25 deducted for slip-page and commission per contract traded
Starting equity:$1 million (nominal)
Test results: The system did not fare as well on futures as it did
on individual stocks However, there are a few reasons for thisthat, when examined, make the results more understandable (For
SAMPLE TRADES
Source: Omega Research ProSuite
Dow Jones Industrial (DJ), daily
L-trail
L-trail
L-trail
L-trail S-trail S-target
Trang 27aggressively, which also would have created smootherequity growth.
Speaking of drawdown, note that both the mum drawdown and flat time for the test period are
maxi-not related to the current bear market Instead, they are
both a function of the limited trading opportunities inthe first part of the test period Currently, the system is
in a 20-percent drawdown, and although that is icant, and much more than most traders can tolerate, it
signif-is a far cry from the 80-plus percent decline in equityfor a buy-and-hold strategy in the Nasdaq 100 index.Another way to improve the results could be totrade it on other futures markets as well, such as thecurrencies, energies and interest rates Because of thesystem’s short-term nature, it is not suitable for agri-cultural commodities, which usually need longertrends to produce profits large enough to justify trad-
Disclaimer: The Trading System Lab is intended for educational purposes only to provide a perspective on different market concepts It is not meant to recommend or promote any trading system or approach Traders are advised to do their own research and testing to determine the validity of a trading idea Past performance does not guarantee future results; historical testing may not reflect a system’s behavior in real-time trading.
LEGEND: End equity ($) — equity at the end of test period • Total return
(%) — total percentage return over test period • Avg annual ret (%) —
average continuously compounded annual return • Profit factor — gross
profit/gross loss • Avg tied cap (%) — average percent of total available
cap-ital tied up in open positions • Win months (%) — percentage profitable
months over test period • Max DD (%) — maximum drop in equity •
Longest flat — longest period, in months, spent between two equity highs •
No trades — number of trades • Avg trade ($) — amount won or lost by
the average trade • Avg DIT— average days in trade • Avg win/loss ($)
— average winning and losing trade, respectively • Lrg win/loss ($) —
largest winning and losing trade, respectively • Win trades (%) — percent
winning trades • TIM (%) — amount of time there is at least one open
posi-tion for entire portfolio, and each market, respectively • Tr./Mark./Year —
trades per market per year • Tr./Month — trades per month for all markets
LEGEND: Cumulative returns — Most recent: most recent return from start to
end of the respective periods • Average: the average of all cumulative returns from start to end of the respective periods • Best: the best of all cumulative returns from start to end of the respective periods • Worst: the worst of all cumulative returns from start to end of the respective periods • St dev: the standard devia- tion of all cumulative returns from start to end of the respective periods
Annualized returns — The ending equity as a result of the cumulative returns,
raised by 1/n, where n is the respective period in number of years
Send Active Trader your systems
If you have a trading system or idea you’d like tested, send it to
us at the Trading System Lab We’ll test it on a portfolio of stocks or futures (for now, maximum 60 markets, using the last 2,500 trading days), using true portfolio analysis/optimization Most system-testing software only allows you to test one mar- ket at a time Our system-testing technique lets all markets share the same account and is based on the interaction within the portfolio as a whole
Start by e-mailing system logic (in TradeStation’s EasyLanguage or in an Excel spreadsheet) and a short description
to editorial@activetradermag.com , and we’ll get back to you
Note: Each system must have a clearly defined stop-loss level
and a suggested optimal amount to risk per trade.
Profitability Trade statistics
Drawdown TIM (%): 70 28.1
ROLLING TIME WINDOW RETURN ANALYSIS
Cumulative 12 24 36 48 60
months months months months months
Most recent: -8.30% 20.77% 26.18% 75.15% 89.69% Average: 9.10% 19.44% 31.22% 43.14% 55.41% Best: 52.95% 86.74% 101.76% 135.61% 147.21% Worst: -15.56% -22.47% -25.96% -17.60% -6.38%
St dev.: 15.03% 26.07% 37.05% 44.71% 46.18%
Annualized 12 24 36 48 60
months months months months months
Most recent: -8.30% 9.90% 8.06% 15.04% 13.66% Average: 9.10% 9.29% 9.48% 9.38% 9.22% Best: 52.95% 36.36% 26.36% 23.89% 19.84% Worst: -15.56% -11.95% -9.53% -4.72% -1.31%
St dev: 15.03% 12.28% 11.08% 9.68% 7.89%
STRATEGY SUMMARY
one thing, the amazing results from the stock test make
compar-isons a little unfair.)
The equity chart reveals the results for the futures markets
real-ly didn’t start to take off until late 1997 — almost halfway through
the testing period The big reason for this is that up until late 1996,
the S&P 500 was the only tradable market Trading in the other two
contracts didn’t begin until late 1996 (Dow) and late 1997
(Nasdaq) If you look at only the second half of the test period, the
estimated average annual return would probably be almost twice
the 7.87 percent the complete system produced
Adding other (foreign) stock indices to the mix probably would
have enhanced results even more by adding a bit of diversification,
which would have kept the drawdowns lower Trading more
mar-kets would also have allowed us to trade each market a little less
Trang 28TRADING Strategies
Traders are always looking for clues regarding when
a price move is likely to follow through vs stop in
its tracks Short-term traders especially watch price
behavior during a given trading system to
deter-mine whether to hold existing positions overnight or get out
before the close
The relationshipsbetween open andclose prices is oftenused to gauge themomentum during agiven trading peri-
od For example, abar that opens andcloses at roughly thesame price in themiddle of a tradingbar reflects balancedtrading during thatperiod A bar thatfollows several barswith higher highsand lows and opens
at a low price, tradesmuch higher, andthen closes back nearthe open, mightimply the upside
evaporated and adownturn could beimminent
The patterns wewill analyze hereoccur when priceopens near one end
of the day’s trading range (the high or low) and closes near theother extreme of the day’s range We’ll refer to these as strong-closing and weak-closing bars We’ll test these patterns to seewhat kind of price action typically follows them, and if they
Upper band — top 10% of bar
Lower band — bottom 10% of
bar
The upper band is the top 10 percent
of the bar and the lower band is the
bottom 10 percent of the bar An
open or close that occurs in either of
these bands can be considered to be
in an extreme of the bar’s range.
FIGURE 1 EXTREME BANDS
Source: TradeStation
Russell 2000 index (RUT.X), daily
Strong close days
16 23
550.00 545.00 540.00 535.00 530.00 525.00 520.00
A strong-close day (SCD) opens in the lower band (the bottom 10 percent of a price bar) and closes in the upper band (the top 10 percent of the bar).
FIGURE 2 STRONG CLOSE DAYS
Source: TradeStation
Bars that close near their highs or lows can sometimes trick traders into thinking follow-through price action is likely The following analysis incorporates the opening price and
a few simple risk-control and exit rules to capture follow-through moves when they are most likely.
BY XAVIER MARIA RAJ
Trang 29can be used as the basis for a trading
strategy
Defining strong and weak bars
The first step is to define what
consti-tutes strong- and weak-closing bars To
do this, we’ll use “bands” that capture
the top and bottom 10 percent of a price
bar The upper band is the top 10
per-cent of the bar and the lower band is the
bottom 10 percent of the bar (see Figure
1) An open or close that occurs in either
of these bands can be considered to be in
an extreme of the bar’s range
A strong-close day (SCD) opens in the
lower band and closes in the upper band
(Figure 2) Similarly, a weak-close day
(WCD) opens in the upper band and
closes in the lower band (Figure 3)
These days can be defined as follows:
Strong-close day (SCD) = Open <
(Low + Range/10) and Close > (High
-Range/10)
Russell 2000 index (RUT.X), daily
Weak-close day
July 7 14 21
A weak-close day (WCD) opens in the
upper band and closes in the lower band.
FIGURE 3 WEAK-CLOSE DAYS
21 28 Aug 4 11 18 25
500.00 495.00 490.00 485.00 480.00 475.00 470.00 465.00 460.00 455.00 450.00
In most cases, SCDs and WCDs were followed by price movement in the expected direction.
FIGURE 4 BASIC TRADE SIGNALS
Source: TradeStation
Strategy code
The following EasyLanguage code can be downloaded from the Active Trader Strategy Code page at www.activetradermag.com/code.htm Code for other
software platforms is also available
Initial system test:
VAR:X(0),Y(0),R(0); R=RANGE;
IF C>H-((R/10)) AND O<L+((R/10)) THEN X=1 ELSE X=0;
IF C<L+((R/10)) AND O>H-((R/10)) THEN Y=1 ELSE Y=0;
IF X=1 THEN Buy Next Bar AT H+.05 STOP;
IF Y=1 THEN Sell Short Next Bar AT L-.05 STOP;
Sell This Bar AT C;
Buy to Cover This Bar AT C;
Revised system test:
VAR:X(0),Y(0),R(0); R=RANGE;
IF C>H-((R/10)) AND O<L+((R/10)) THEN X=1 ELSE X=0;
IF C<L+((R/10)) AND O>H-((R/10)) THEN Y=1 ELSE Y=0;
IF X=1 THEN Buy Next Bar AT H+.05 STOP;
IF Y=1 THEN Sell Short Next Bar AT L-.05 STOP;
Sell This Bar AT C;
Buy to Cover This Bar AT C;
Sell Next Bar AT MEDIANPRICE-.05 STOP;
Buy to Cover Next Bar AT MEDIANPRICE+.05 STOP;
Sell AT ("P1") Next Bar H+10 LIMIT;
Buy to Cover AT ("P2") Next Bar L-10 LIMIT;
Trang 30Weak-close day (WCD) = Open > (High - Range/10) and
Close < (Low + Range/10)
Strong-close days suggest demand was high from the
begin-ning of the trading session and continued to be robust until the
closing bell; weak-close days indicate selling pressure was
dominant from the start of the day until the close
Let’s hypothesize that because demand or supply was solid
through the end of the day, there will be some follow-through
movement the day after an SCD or WCD
Trade rules
Now we can design some simple rulesbased on this pattern to test our hypoth-esis:
1 Go long the day after an SCD with
a buy-stop order one tick above the high of the SCD
2 Go short the day after a WCD
with a sell-stop order one tick below the low of the WCD
3 Exit all trades on the close.
The logic is simple: An extremelystrong or weak close implies furthermovement in that direction the follow-ing day, and a move beyond the range ofthe SCD or WCD confirms the up ordown momentum
Figure 4 (p 10) shows the signals erated based on the strategy for theRussell 2000 index (RUT.X) Notice thisperiod is dominated by rising prices,and there were more SCDs than WCDs.For the most part, there was follow-through in the expected direction afterboth types of bars
gen-Initial test
These basic rules were tested on theRussell 2000 and S&P 400 Midcap(MID.X) indices over 10 years of dailydata, from Jan 1, 1994 to Aug 29, 2003.The results for the Russell 2000 areshown in Table 1 and the S&P 400 resultsare in Table 2
The strategy yielded profit factors(gross profits divided by gross losses) of2.29 and 1.94 for the respective indices.The total number of trades generatedwere 637 for the Russell and 482 for theS&P 400, or approximately six and fivetrades per month, respectively The win-ning percentage was around 70 percentfor the Russell 2000 and 64 percent forthe S&P 400 Midcap, respectively These performance figures are quite respectable for such asimple, easy-to-execute strategy — especially considering thatthe parameters were unoptimized Now let’s see if this basicperformance can be enhanced with additional risk-control andprofit-taking rules
Augmenting the approach
We conducted a second test using simple stop-loss and pricetarget rules The stop-loss will be the midpoint of the SCD orWCD, and the profit target will be 10 index points above the
For such a simple set of trading rules, the test results were surprisingly
good Each market produced an average of six trades per month.
TABLE 1 INITIAL TEST: RUSSELL 2000
Source: TradeStation
Performance summary: All trades
Largest winning trade $10,275.00 Largest losing trade ($12,200.00)
Average winning trade $1,429.78 Average losing trade ($1,490.03)
Ratio avg win/avg loss 96 Avg trade (win & loss) $568.05
Max intraday drawdown($21,050.02)
The S&P 400 produced fewer trades than the Russell 2000 (482 vs 637) It
had a lower (but still quite good) profit factor of 1.94 and a winning
percent-age of 64 percent
TABLE 2 INITIAL TEST: S&P 400
Source: TradeStation
Performance summary: All trades
Largest winning trade $9,150.00 Largest losing trade ($10,375.00)
Average winning trade $1,470.47 Average losing trade ($1,353.18)
Ratio avg win/avg loss 1.09 Avg trade (win & loss) $457.00
Max intraday drawdown($24,525.00)
Trang 31high of an SCD or below the low of a WCD:
Stop-loss for long trade = Midpoint minus one tick
Stop-loss for short trade = Midpoint plus one tick
Long target = High plus 10 points
Short target = Low minus 10 points
As was the case with the basic trading
rules, these values are representative and
have not been optimized The definitions
and logic for the complete strategy are:
D1 = Current day (the SCD or WCD)
D2 = Next day
H1 = High of current day
L1 = Low of current day
M1 = Midpoint, or median price, of
current day
1 Long Entry: On an SCD (D1) place
a buy-stop order for the next
day (D2) at the high (H1) plus one
tick
2 Short Entry: On a WCD (D1) place
a sell-stop order for the next
day (D2) at the low (L1) minus one
tick
3 Long Exit: Place a stop-loss order
at the median price (M1) minus
one tick
4 Short Exit: Place a stop-loss order
at the median price (M1) plus one
tick
5 Long Target: Place a limit sell
order at the high (H1) plus 10
points
6 Short Target: Place a limit buy
order at the low (L1) minus 10
points
The performance for the two indices
after incorporating these stop-loss and
target rules are shown in Tables 3 and 4
Notice that although the winning
per-centages for each index declined (but
both remained about 60 percent), their
respective profit factors increased to 3.08
and 2.21, indicating the strategy became
more efficient Also notice the maximum
drawdowns decreased in both cases The
number of trades remained the same
Simplicity and room
for experimentation
As is often the case, a simple trading
idea produced some favorable results
This trading approach could be applied without any help from
a computer, and it lends itself to further modification andexperimentation
Testing across a wide range of markets and experimentingwith different upper and lower bands, stop-loss levels andprofit targets are excellent departure points.Ý
The winning percentage declined for the Russell 2000 (as it did for the S&P 400), but the profit factor increased.
TABLE 3 ENHANCED SYSTEM TEST: RUSSELL 2000
Source: TradeStation
Performance summary: All trades
Largest winning trade $4,975.50 Largest losing trade ($5,587.50)Average winning trade $1,518.64 Average losing trade ($1,070.86)Ratio avg win/avg loss 1.42 Avg trade (win & loss) $701.55
Max intraday drawdown($14,725.52)
Despite the lower winning percentage for both indices, the strategy was more efficient: It produced more profit with lower drawdown.
TABLE 4 ENHANCED SYSTEM TEST: S&P 400
Source: TradeStation
Performance summary: All trades
Largest winning trade $4,975.00 Largest losing trade ($8,875.00)Average winning trade $1,503.61 Average losing trade ($1,101.97)Ratio avg win/avg loss 1.36 Avg trade (win & loss) $508.95
Max intraday drawdown($13,725.00)
Trang 32BY G VETRIVEL
P rices move every second of every day, which
means many, if not most, market fluctuations
rep-resent random “noise” rather than meaningful
price moves No matter how short the time frame
a trader operates on, some price action is simply irrelevant
The challenge is finding a way to filter out noise and
identi-fy tradable price moves in your chosen time horizon There are
many ways to accomplish this Some traders require an initial
trade setup to be validated by a secondary rule, or filter, before
acting upon the signal Other traders approach the problem at
the source and attempt to smooth price data itself, so they
apply trading approaches to data that has already had its
“noise” removed
The method outlined here presents a way to smooth data
using Fibonacci-based price moves This process consists of
defining a price-swing structure that filters out shorter-term
price fluctuations so you react only when a trend of significant
magnitude changes direction
This Fibonacci-swing technique will
be illustrated using a simple
stop-and-reverse (SAR) strategy, which means
when a long position is exited a new
short position is simultaneously
estab-lished, and vice versa The strategy will
then be tested on eight years of daily
price data in four stock indices
Defining price swings with
Fibonacci ratios
The most common tool for smoothing
price data is the moving average, which
traders use to define trends and issue
trade signals For example, if price
moves above a moving average, the
trend is considered up, while the
oppo-site is true when price falls below the
moving average
The degree to which the data is
smoothed and the length of the trend
depends on how long the moving
aver-age is: The longer the lookback period
(e.g., 100 bars), the longer the trend the
average represents and the more
short-term price fluctuations are removed from the data; the shorterthe lookback period (e.g., 10 bars), the shorter the trend theaverage reflects
Similar logic applies to defining Fibonacci price swings Abreakout above or below the range of a Fibonacci-defined priceswing — for example, a 38.2-percent retracement of a previousmove — can be considered the end of an existing trend or thebeginning of a new trend, the magnitude of that trend beingdependent on the size of the price swings This logic allows us
to objectively determine market tops and bottoms
This technique does not attach any particular significance to
a single Fibonacci ratio and it does not have a fixed lookbackperiod, as does a moving average The ratios (which can changefor each bar) are determined by the current market conditions,which makes the Fibonacci-swing approach an adaptivesmoothing technique Also, this approach avoids the problem
of lag that affects all moving averages (the longer the average,the longer it takes to respond to changes in price direction)
Russell 2000 E-mini (ER), daily
38.2%
50%
1 2 0
9 23 March 8 15 22 29
595 590 585 580 575 570
Bar 1 is the new high and a short trade is triggered when the current bar (Bar 0) falls below the 50-percent level of Bar 2.
FIGURE 1 DEFINING A TOP AND GOING SHORT
Source: TradeStation
One way to filter market noise and focus on tradable price moves is to gauge price swings in terms of retracement percentages This approach creates an adaptive trading system that adjusts to the market’s behavior.
TRADING Strategies
Bottom
Trang 33Calculating Fibonacci price swings
The rules for calculating Fibonacci
swings for determining tops and
bot-toms use the following definitions:
• Current bar = Bar 0; previous bar =
Bar 1, etc
• Fibonacci ratios used: 23.6 percent,
38.2 percent, 50 percent, 61.8 percent,
78.6 percent and 87.5 percent
• Pairs of consecutive retracement
percentages are always used to define
price swings — i.e., 23.6 percent and 38.2
percent, 38.2 percent and 50 percent, etc
Pairing 23.6 percent and 50 percent
would be incorrect, for example
Defining a top/beginning of a down
swing: If Bar 1 retraces between 38.2 and
50 percent of Bar 2’s range (measured
downward from Bar 2’s high), and the
low of Bar 0 is below the 50-percent level
(the midpoint) of Bar 2’s range, then the
highest high between the previous
bot-tom and Bar 0 (including Bar 0) is a top
Other retracement ratios are applied
in a similar fashion For example, if Bar 1
retraces between 50 and 61.8 percent of
Bar 2, and the low of Bar 0 is below the
61.8-percent level of Bar 2’s range
(meas-ured downward from Bar 2’s high), then
the highest high between the previous
bottom and Bar 0 is a top The same
approach would be used for 23.6 percent
and 38.2 percent, and so on
Figure 1 shows how a top is defined
using this technique The low of Bar 1
retraces between 38.2 and 50 percent of
Bar 2’s range, and Bar 0’s low is below
the level of a 50-percent retracement of
Bar 2 The top is the highest high
between the previous bottom and Bar 0 (including Bar 0),
which means Bar 1’s high is the top
These rules are reversed to define lows
Defining a bottom/beginning of an up swing: If Bar 1
retraces between 38.2 and 50 percent of Bar 2’s range
(meas-ured upward from Bar 2’s low), and the high of Bar 0 is above
the 50-percent level of Bar 2’s range, then the lowest low
between the previous top and Bar 0 is a bottom
Similarly, if Bar 1 retraces between 50 and 61.8 percent of Bar
2, and the high of Bar 0 is above the 61.8-percent level of Bar 2’s
range (measured upward from Bar 2’s low), then the lowest
low between the previous top and Bar 0 is a bottom
Figure 2 (p 14) shows the identification of a bottom using
23.6 and 38.2 Fibonacci percentages: The high of Bar 1 retraced
between 23.6 percent and 38.2 percent of Bar 2 and the high of
Bar 0 retraced more than 38.2 percent of Bar 2 The bottom is
the lowest low between the previous top (Bar A) and Bar 0 As
a result, the low of Bar 1 is the bottom
Note: There cannot be two consecutive bottoms or tops
Entry and exit rules
The following rules are for the Fibonacci-swing trading system
we will test on different stock indices:
1 Enter long/exit short if Bar 0’s high is above the
38.2-per-cent level but below the 50-per38.2-per-cent level of Bar 1’s range Place
a buy-stop order to exit the existing short position and enterlong at the 50-percent level of Bar 1’s range
Repeat these calculations for the different percentage pairs
to determine the range that captures the current retracement
2 Enter short/exit long if Bar 0’s low is below the
61.8-per-cent level but above the 50-per61.8-per-cent level of Bar 1’s range Place
a sell-stop order to exit the existing long position and entershort at the 50-percent level of Bar 1’s range
Repeat these calculations for the different percentage pairs
to determine the range that captures the current retracement
3 Special outside bar condition: If there is an outside bar (a
bar with a high above the previous high and a low below theprevious low) or a gap bar (a low above the previous high or ahigh below the previous low), place the buy-stop order at thehigh or the sell-stop order at the low
Performance summary: All trades
Total net profit $662,375 Open position P/L $775 Gross profit $1,668,640 Gross loss $1,006,265
Total number of trades 771 Percent profitable 44.36% Number of winning trades 342 Number of losing trades 429 Largest winning trade $34,225 Largest losing trade $8,550.00
Average winning trade $4,879.06 Average losing trade $2,345.60
Ratio avg win/avg loss 2.08 Average trade (win and loss) $859.11 Max consecutive winners 6 Max consecutive losers 8 Avg number of bars in winners 4 Avg number of bars in losers 1 Max intraday drawdown $39,665
Profit factor 1.66 Max number of contracts held 1 Account size required $39,665
The tests produced an average of nearly 700 trades per market over eight years of daily data, which lends credibility to the results.
TABLE 1 S&P 500 TEST RESULTS
19 May 6 13 20 27 June 10 17
520 515 510 505 500 495 490 485
Bar 1 is the new low and a long trade occurs when Bar 0 rises above the percent retracement level of Bar 2 (measured from the bottom of Bar 2).
38.2-FIGURE 2 DEFINING A BOTTOM AND GOING LONG
Source: TradeStation
Trang 34If the stop-orders are not hit the next
day, the appropriate percentage pairs are
calculated on that day’s bar and new
orders are placed accordingly For each
bar, the system checks to see which
per-centage pair applies to the current
retracement As a result, the percentages
can change from bar to bar — e.g.,
38.2-and 50-percent one day, 50- 38.2-and
61.8-per-cent the next and so on
When the price swing is moving up,
ratios are calculated from the high to
determine the long exits and short
entries Similarly, ratios are calculated
from the low to determine the short exits
and long entries
Trade examples and test results
Returning to Figure 1 (p 13), because the low of Bar 1 retraced
between 38.2 and 50 percent of Bar 2 (measured from the top of
Bar 2 down), enter a sell-stop order at the 50-percent level of
Bar 2
In Figure 2 (p 14), because the high of Bar 1 retraced
between 23.6 percent and 38.2 percent of Bar 2 (measured from
the bottom of Bar 2 up), enter a buy-stop order at the
38.2-per-cent level of Bar 2
Because this is a stop-and-reverse strategy, the reverse
orders act as trailing stops for the current positions
Tables 1, 2 , 3 and 4 show the results of tests conducted on
the S&P 500 (SPX), Russell 2000 (RUTX), NIFTY (Indian NSE
Index), and Dow Jones Industrial Average (INDU) The test
spanned eight years of daily price data –– from Jan 1, 1997 toOct 25, 2004
The performance in these tables indicates the strategy isrobust: It has a winning percentage rate of at least 40 percent,
an average win/loss ratio of 2 and profit factor (gross it/gross loss) of 1.55 in all indices, except the Russell 2000,which had exceptionally good performance and a profit factor
prof-of 3.33 Slippage and commission charges were not included.The strategy produced more than 700 trades on average ineach index — more than 2,800 trades total The high number oftrades adds credibility to test results — confidence in futureresults is directly related to the number of samples in testing
By comparison, positive results for a long-term trend-following
System code
The following TradeStation EasyLanguage code for the Fibonacci stop-and-reverse system can be copied at
www.activetradermag.com/code.htm
if l>=h[1] then Sell Short Next Bar at l-.05 stop;
if l<h[1] and l>=h[1]-(h[1]-l[1])*.236 then Sell Short Next Bar at h[1]-(h[1]-l[1])*.236 -.05 stop;
if l<h[1]-(h[1]-l[1])*.236 and l>=h[1]-(h[1]-l[1])*.382 then Sell Short Next Bar at h[1]-(h[1]-l[1])*.382-.05 stop;
if l<h[1]-(h[1]-l[1])*.382 and l>=h[1]-(h[1]-l[1])*.5 then Sell Short Next Bar at h[1]-(h[1]-l[1])*.5-.05 stop;
if l<h[1]-(h[1]-l[1])*.5 and l>=h[1]-(h[1]-l[1])*.618 then Sell Short Next Bar at h[1]-(h[1]-l[1])*.618-.05 stop;
if l<h[1]-(h[1]-l[1])*.618 and l>=h[1]-(h[1]-l[1])*.786 then Sell Short Next Bar at h[1]-(h[1]-l[1])*.786-.05 stop;
if l<h[1]-(h[1]-l[1])*.786 and l>=h[1]-(h[1]-l[1])*.875 then Sell Short Next Bar at h[1]-(h[1]-l[1])*.875-.05 stop;
if l<h[1]-(h[1]-l[1])*.875 and l>l[1] then Sell Short Next Bar at l[1]-.05 stop;
if l<=l[1] then Sell Short Next Bar at l-.05 stop;
if h<=l[1] then Buy Next Bar at h+.05 stop;
if h>l[1] and h<=l[1]+(h[1]-l[1])*.236 then Buy Next Bar at l[1]+(h[1]-l[1])*.236+.05 stop;
if h>l[1]+(h[1]-l[1])*.236 and h<=l[1]+(h[1]-l[1])*.382 then Buy Next Bar at l[1]+(h[1]-l[1])*.382+.05 stop;
if h>l[1]+(h[1]-l[1])*.382 and h<=l[1]+(h[1]-l[1])*.5 then Buy Next Bar at l[1]+(h[1]-l[1])*.5+.05 stop;
if h>l[1]+(h[1]-l[1])*.5 and h<=l[1]+(h[1]-l[1])*.618 then Buy Next Bar at l[1]+(h[1]-l[1])*.68+.05 stop;
if h>l[1]+(h[1]-l[1])*.618 and h<=l[1]+(h[1]-l[1])*.786 then Buy Next Bar at l[1]+(h[1]-l[1])*.786+.05 stop;
if h>l[1]+(h[1]-l[1])*.786 and h<=l[1]+(h[1]-l[1])*.875 then Buy Next Bar at l[1]+(h[1]-l[1])*.875+.05 stop;
if h>l[1]+(h[1]-l[1])*.875 and h<h[1] then Buy Next Bar at h[1]+.05 stop;
if h>=h[1] then Buy Next Bar at h+.05 stop;
Performance summary: All trades
Total net profit $2,664.37 Open position P/L $5.06 Gross profit $3,807.75 Gross loss $1,143.38
Total number of trades 690 Percent profitable 52.03% Number of winning trades 359 Number of losing trades 331 Largest winning trade $84.44 Largest losing trade $16.53
Average winning trade $10.61 Average losing trade $3.45
Ratio avg win/avg loss 3.07 Average trade (win and loss) $3.8614 Max consecutive winners 11 Max consecutive losers 6 Avg number of bars in winners 4 Avg number of bars in losers 1 Max intraday drawdown $42.64
Profit factor 3.33 Max number of contracts held 100 Account size required $42.64
The Russell 2000 posted the highest profit factor and winning percentage of all the indices.
TABLE 2 RUSSELL 2000 TEST RESULTS
Source: TradeStation
Trang 35Performance summary: All trades
Total net profit $17,416.55 Open position P/L $132.67 Gross profit $52,101.54 Gross loss $34,684.98
Total number of trades 767 Percent profitable 43.02% Number of winning trades 330 Number of losing trades 437 Largest winning trade $1,423.27 Largest losing trade $337.60
Average winning trade $157.88 Average losing trade $79.37
Ratio avg win/avg loss 1.99 Average trade (win and loss) $22.71 Max consecutive winners 6 Max consecutive losers 10 Avg number of bars in winners 4 Avg number of bars in losers 1 Max intraday drawdown $1,253.21
Profit factor 1.50 Max number of contracts held 100 Account size required $1,253.21 Return on account 1,389.76%
The average winning trade/losing trade ratio was 2.00 for all four tests.
TABLE 4 DOW JONES INDUSTRIAL AVERAGE TEST RESULTS
Source: TradeStation
strategy that produces only 50 trades
over eight years of data will not be
near-ly as reliable as the statistics shown here
Smooth sailing
This technique is not the only way to
smooth data, but all smoothing or
filter-ing methods share the same goal — to
isolate the tradable moves in a market on
the time frame you wish to trade.Ý
Performance summary: All trades
Total net profit $3,887.18 Open position P/L $28.55 Gross profit $10,590.52 Gross loss $6,703.35
Total number of trades 729 Percent profitable 43.48% Number of winning trades 317 Number of losing trades 412 Largest winning trade $195.60 Largest losing trade $88.05
Average winning trade $33.41 Average losing trade $16.27
Ratio avg win/avg loss 2.05 Average trade (win and loss) $5.33 Max consecutive winners 6 Max consecutive losers 12 Avg number of bars in winners 4 Avg number of bars in losers 1 Max intraday drawdown $744.78
Profit factor 1.58 Max number of contracts held 1,000 Account size required $744.78
One downside is that maximum consecutive losers outnumbered maximum consecutive winners in three of the four tests.
TABLE 3 NIFTY INDEX TEST RESULTS
Source: TradeStation
The Fibonacci series is a number progression in which
each successive number is the sum of the two
immedi-ately preceding it: 1, 2, 3, 5, 8, 13, 21, 34 and so on
As the series progresses, the ratio of a number in the
series divided by the immediately preceding number
approaches 1.618, a number that is attributed significance
by many traders because of its appearance in natural
phe-nomena (the progression of a shell’s spiral, for example, as
well as in art and architecture, including the dimensions of
the Parthenon and the Great Pyramid) The inverse, 618
(.62), has a similar significance
Some traders use fairly complex variations of Fibonacci
num-ber to generate price forecasts, but a basic approach is to use
ratios derived from the series to calculate likely price targets
For example, if a stock broke out of a trading range andrallied from 25 to 55, potential retracement levels could becalculated by multiplying the distance of the move (30points) by Fibonacci ratios — say, 382, 50 and 618 — andthen subtracting the results from the high of the price move
In this case, retracement levels of 43.60 [55 - (30*.38)], 40[55 - (30*.50)] and 36.40 [55 - (30*.62)] would result Similarly, after a trading range breakout and an up move
of 10 points, a Fibonacci follower might project the size ofthe next leg up in terms of a Fibonacci ratio — e.g., 1.382times the first move, or 13.82 points in this case
The most commonly used ratios are 382, 50, 618, 786,1.00, 1.382 and 1.618 Depending on circumstances otherratios, such as 236 and 2.618, occasionally are used
Additional reading
The following articles have more
information about Fibonacci
num-bers:
“Technical Tool Insight:
Fibonacci ratios”
(Active Trader, April 2002, p 78).
This is a more detailed primer on
the
properties of Fibonacci numbers
“Absolute price projections”
by Tom DeMark and Rocke DeMark
(Active Trader, July 2004, p 38).
This article explores the authors’
unique application of Fibonacci
ratios to determine potential price
targets
The Fibonacci series
Trang 36BY JOHN CARTER
distance between the
reg-ular-session opening price
and the previous day’s
closing price — are stomach-churning
events when the market makes a big
move against you, but they represent
low-risk trade opportunities if you know
which gaps are likely to be followed by
predictable patterns
In terms of the price behavior that
fol-lows opening gaps, not all markets are
created equal Gaps in individual stocks
and commodities do not act the same asthose in “multi-item” instruments such
as stock indices because a news item willcontrol the entire market instead of just aportion of it Earnings announcements,corporate scandals and other company-specific events can create gaps in a com-ponent stock’s chart that never get filled
Because of the unpredictable nature ofvarious events that can impact the price
of an individual stock, they make poorcandidates for the opening-gap trade
In contrast, stock index futures such asthe E-mini S&P (ES) or the mini-sizedDow (YM) are better candidates foropening-gap plays because they consist
of multiple components that respond ferently to news For example, although astock index futures contract may gap up
dif-on a news item, there will be individualstocks within the index that will eitherignore the news or sell off This weighsthe index down and creates a tradeopportunity as the market fills the gap
The best markets for gap plays
The S&P 500 and the Dow are the best
markets to trade the opening gapbecause of the diversity of their compo-nent stocks Both indices represent collec-tions of stocks from different industriesthat are more likely to react independent-
ly to news events In the heavy Nasdaq, opening price gaps cantake longer to fill because the majority ofthe stocks will react similarly to news The key to trading opening gaps isbeing able to predict the likelihood aparticular gap will be filled Dissectingthe market conditions that produce agap is as important as analyzing a gapitself For example, an opening gap fol-lowing high pre-market cash tradingvolume can take weeks to get filledbecause high volume increases the oddsthe market will continue to move in thedirection of the gap
technology-Some of the biggest gaps are caused
by major news events, such as the break of a war, but gaps caused by minornews items are much more common.Generally, such gaps are smaller, fillquickly (see Table 1) and can be “faded”(the act of trading against the direction
an average of 76 percent of all
opening gaps closed at some point
during the same day This is the
breakdown by day of week Adding
the pre-market volume filter
increased the percentages.
TABLE 1 FILLING THE OPENING
GAP: RAW DATA
The higher the volume, the greater the likelihood the market will continue
in the direction of the opening gap As a result, no trade is taken when ume is above 70,000.
vol-TABLE 2 TRADE MANAGEMENT GUIDELINES
Source: Tradethemarkets.com
Pre-market volume
Trading the OPENING GAP
Watching pre-market volume is a good way to determine whether
to trade or fade the opening move.
Trang 37of the gap) more effectively Let’s look at
the specific criteria for identifying those
gaps with the best chances of reversing
The pre-market volume indicator
The most important indicator for
deter-mining which opening gaps can be
faded is the pre-market volume in a
spe-cific set of stocks
Check the pre-market volume at 9:20
a.m ET (10 minutes before the regular
cash session opens) in the following
stocks: KLA-Tencor Corporation (KLAC),
Maxim Integrated Products, Inc (MXIM),
Novellus Systems, Inc (NVLS) and
Applied Materials, Inc (AMAT) These
representative stocks were selected
through a trial-and-error process
If the market is really set up to move,
there will be significant volume in the
cash market in pre-market trading If the
market is setting up for a “head fake” (a
move in one direction that is quickly
reversed), pre-market volume will be
low, which reflects a lack of conviction in
the move This is the preferred setting
for an opening-gap trade
If the pre-market stocks have each
traded less than 30,000 shares at this
time, analysis of the prior 500 trading
days shows the opening gap, up or
down, had an 80-percent chance of
fill-ing the same day However, if the
vol-ume for each stock is between 30,000 and
70,000, the gap only has about a
60-per-cent chance of filling that day, while the
midpoint of the gap has an 85-percent
chance of being hit
Finally, if the pre-market volume for
each stock is above 70,000, the chances of
the gap filling that day drop to 30
per-cent In these cases, you should ignore
the news and follow the direction of the
gap Table 2 provides guidelines for
using volume information to manage
trades As the volume increases, the
position size shrinks and the
profit-tak-ing becomes more conservative
If one stock has volume above 70,000
but the others are below the threshold,
check to see if the news pertains to this
company alone If it does, ignore it If the
news is not specific to the company,
trade the more conservative position
The strategy
Figure 1 is a five-minute chart of themini Dow futures You can use any timeinterval — a one-minute, five-minute or15-minute chart, etc — as long as youcan view the opening This means thechart must be set up to reflect the open-ing and closing of the regular tradingsession, 9:30 a.m to 4 p.m ET (4:15 p.m
for stock index futures prices) Manytraders are used to watching a separatechart of the continuous 24-hour futuressession, but of course, opening gaps
won’t show up
Figure 1 shows the first day in a set ofback-to-back earnings announcementsthat caused opposite reactions in themarket On the morning of Oct 15, 2003,the Dow gapped up 47 points as a result
of a positive earnings report from Intel(INTC) On this day, pre-market volumewas below 30,000
As a result, the appropriate trade is toimmediately short the gap on the openusing a full position size, as indicated inTable 2 To keep things simple, we’ll usenine contracts as a full position, whichmakes a two-thirds position six contractsand a one-third position three contracts
We will use a $100,000 account, whichmeans we are trading one contract foreach $11,100 in the account for a full posi-tion Although you can trade a mini Dow
or E-mini S&P contract with only a fewthousand dollars, this trading plan con-trols risk by limiting exposure relative tothe amount of available capital
Use a 1:1.5 reward/risk ratio (risking1.5 points to make 1 point) for gap trades
Mini Dow futures (YM), five minute
Gap is filled for a 47-point gain, or $235 per contract (47 points x $5 per point).
11:00 12:00 13:00 14:00 15:00 9:00 10:00
10/15/03
9,830 9,820 9,810 9,800 9,790 9,780 9,770 9,760 9,750 9,740 9,730 9,720 9,710 9,700
This 47-point-plus opening gap in the mini Dow futures was filled in the first hour of trading for a $235 per-contract profit.
FIGURE 1 THE OPENING GAP
Source: eSignal
Trang 38that are less than 40 mini Dow points or
4 E-mini S&P points For gaps larger
than these, use a 1:1 reward/risk ratio Inthe case of Figure 1, we would risk 47points to make 47 points If the gap hadbeen 30 points, we would risk 45 points Some traders might question anapproach that risks more than the poten-tial profit Most beginning traders aretaught to use a 3:1 reward/risk ratio,risking 1 point to gain 3 They inevitablywonder why they are repeatedlystopped out just before the marketturns In general, wider stops producemore winning trades; the key is to tradeonly those setups with a better than 80-percent chance of winning
The market sold off immediately afterthe bell, filling the opening gap within
an hour Ironically, the next day IBMcame out with a disappointing earningsreport, knocking the market down on
the open Figure 2 shows the resulting
buy setup had just a small open loss atone point, although many traders mighthave been stopped out on the pullbackaround 11 a.m ET However, keep inmind the strategy is to maintain areward/risk ratio of 1:1, not to tightenyour stop when the market moves inyour favor If the stop had been hit,the loss would have been approxi-mately $305 per contract ($2,745 forthe nine-contract full position), notincluding slippage and commis-sions This loss is reasonable because
of the 80-percent success rate of thesetup
Using a tighter initial stop or ing stop would have turned thisposition into a losing trade or, atbest, a breakeven trade Using therisk parameters designed for thistrade setup allowed the position toremain open until the gap was filledfor a gain of 61 points As a rule,using a trailing stop will negativelyaffect the gap trade’s win/loss ratio When the trade is executed, thebest thing a trader can do is to walkaway and let the orders do theirwork This is the difference betweenprofessionals and amateurs: Pro-fessionals won’t second-guess a trad-ing methodology, while amateurs areconstantly adjusting
trail-Ignore the reasons for the gap
The size or cause of a gap has little
FUTURES OPTIONS & Trading Strategies continued
E-mini S&P 500 continuous contract (ES), five minute
The E-mini S&P futures made a downside opening gap on Aug 2, 2004, on terrorist
threats The market spent most of the day filling the gap.
FIGURE 3 EMOTIONS TRIGGER GAP
Source: TradeStation
Mini Dow futures (YM), five minute
Gap filled for a 61-point gain, or $305 per contract.
15:00 9:00 10:00 11:00 12:00 13:00 14:00
10/16/03
9,800 9,790 9,780 9,770 9,760 9,750 9,740 9,730 9,720 9,710 9,700
One day after the trade setup shown in Figure 1, the mini Dow contract
opened lower, setting up a long trade.
FIGURE 2 THE DAY AFTER
Source: eSignal
Trang 39impact on whether or not it will be
filled Figure 3 shows an example
of emotions triggering an opening
price gap when, on Aug 2, the
market gapped down on the open
because the U.S government
issued a terror warning the
previ-ous day There were rumors of a
plan to blow up a large financial
institution
However, after a choppy first
half of the day, the market firmed,
shorts got nervous and started
cov-ering, and the gap was filled by
1:30 p.m ET for a 6.75-point S&P
E-mini profit ($337.50 per contract)
Relax and trade
Figure 4 shows a 15-minute chart
of the September mini Dow futures
(YMU04) with an opening gap on
Aug 18 that did not get filled for
six trading days (Other opening
gaps occurred before price
eventu-ally filled the first gap.) On this
day, the mini Dow gapped up a
modest 44 points prior to the
release of some economic numbers
The pre-market volume was
mod-est, between 30,000 and 70,000
shares for the key stocks, so the
appropriate step was to short a
two-thirds-size position on the open
The market rallied, sold off a little just
prior to the economic numbers, and then
shot higher once the numbers were
released Using the 1:1 reward/risk ratio
resulted in a 44-point stop The market
never retraced to the gap’s midpoint
level (where half the position could be
covered), and instead rallied right
through the stop, producing a loss of
$220 per contract For a two-thirds
posi-tion (six contracts) the loss was $1,320
This move left an open gap below the
market The next day the market opened
modestly lower, triggering a long trade
that resulted in a quick $65-per-contract
profit ($585 total) The following day the
market opened 52 points lower and
filled the gap a few hours later for a
$260-per-contract profit ($2,340) The
next day, the market gapped up 44
points, triggering a short trade that came
close to the stop-loss point, but
eventual-ly filled the gap for a $255-per-contract
profit ($2,295) All these gaps followed
light pre-market volume, so they were
executed with full positions
On Aug 22, 2003, Intel announced
“cautious upside earnings revisions.”
The market exploded to the upside andgapped right above key resistance Thetrade was to short the 62-point gap with
a full-size position Six bars later, the get was hit for a 62-point profit, or $310per contract ($2,790)
tar-During the afternoon session, the ket traced out a bear flag pattern Withthe opening gap under the market stillunfilled, the trade was to place a sell stop
mar-at 9,392 to let the trend of the market tiate the trade based on a breakdown ofthe flag The entry stop was filled and therisk point for the trade was above intra-day resistance at 9,455.The target was theAug 18 gap at 9,304 The market spent
ini-the rest of ini-the day trending lower, fillingthe gap and resulting in an 88-point gain,
or $440 per contract ($3,960)
A brief window of opportunity
The market’s nature is to prevent asmany people as possible from consis-tently making money, which is why it iscrucial for a trader to follow rules foreach type of trade setup
Gaps are the one moment of the ing day where everyone has to showtheir poker hand, and this creates a bigadvantage for short-term traders.Understanding the dynamics behindopening gaps is paramount to tradingthem successfully.Ý
trad-Mini Dow September futures (YMU04), 15 minute
Gap of +62 points fills in 6 bars Short break of bear flag Target is gap from 8/18
Gap of +44 points fills in 9 bars
Gap of -52 points fills in 9 bars Gap of +13 points
fills in 1 bar
Gap on 8/18 of +44 points fills on 8/25
8/18 13:15 8/19 11:45 14:15 8/20 12:45 8/21 13:45 8/22 12:15 8/25 13:15 8/26
9,500 9,480 9,460 9,440 9,420 9,400 9,380 9,360 9,340 9,320 9,300 9,280
The first opening gap on this chart — which remained unfilled for the next six days — set up a short trade that was stopped out for a loss Subsequent opening gap trades were more successful.
FIGURE 4 MULTIPLE GAPS
Source: TradeStation
Related Active Trader articles
“Trading the overnight gap” by David Nassar, March 2001, p 66
“Morning reversal strategy” by Bryan C Babcook and Arthur Agnelli,May 2003, p 36
“Technical Tool Insight: Gaps,” April 2003, p 82
“Technical Tool Insight: Islands,” August 2002, p 82
You can purchase past articles online at www.activetradermag.com/
purchase_articles.htm and download them to your computer.
Trang 40BY DAVID BUKEY
econom-ic reports can be
frustrating because
the market’s
reac-tion to a bullish or bearish
release is often unpredictable or
short-lived Initial rallies or
sell-offs can be quickly reversed
because detailed economic
releases take time to interpret
To pinpoint how the market
tends to anticipate and respond
to major economic releases, we
focused on the announcement
days of five economic reports —
Fed interest-rate decisions,
employment, Consumer Price
Index (CPI), Gross Domestic
Product (GDP), and the Institute of
Supply Management’s (ISM)
manufac-turing index
The analysis measured the S&P 500
index’s performance on these days over
the past five years and also tracked the
intraday price moves of the S&P 500
E-mini futures contract (ES) as these
announcements hit the Street The S&P
E-mini trades nearly 24 hours a day,allowing us to measure the market’s ini-tial reaction to the employment, CPI,and GDP reports, which are released anhour before the equities markets open
(For brief descriptions of each report, see
“Economic number summary.”)The study shows the S&P’s overalldaily and intraday behavior on
announcement day for all five reports.Comparing the S&P’s pre-announce-ment price moves to its reaction to thesereports revealed several compelling pat-terns However, before we dig into intra-day tendencies, here’s a look at how themarket behaved on the five announce-ment days
HITTING THE STREET:
The S&P 500 futures’ intraday reactions
to economic reports
Highly anticipated economic news can send the market on a wild ride.
This study looks at intraday patterns in the S&P E-mini surrounding FOMC
announcements and the monthly job, CPI, GDP, and ISM reports.
inter-FIGURE 1 ANNOUNCEMENT-DAY PRICE MOVES