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Gap Trading Techniques

id4839281 pdfMachine by Broadgun Software - a great PDF writer! - a great PDF creator! - http://www.pdfmachine.com http://www.broadgun.com

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Finding 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.

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filled 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

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T 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

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that 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

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I 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

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the 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

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absence 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 9

motion 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 10

during 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 11

open 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 12

Trading 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 13

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 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 14

FUTURES 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 15

trading 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 16

System 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 17

open 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 18

System 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 19

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 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 20

STOCK 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 21

T 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

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ate 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 23

minutes 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 24

However, 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 25

hit 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 26

Markets: 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 27

aggressively, 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 28

TRADING 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 29

can 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 30

Weak-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 31

high 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 32

BY 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 33

Calculating 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 34

If 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 35

Performance 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 36

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 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.

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of 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

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that 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 39

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

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 40

BY 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

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