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Swing Trading: Volume Perspective

Basic economics dictates the
premise of supply and demand and their ramifications on price. This theory
holds that when demand exceeds supply price will appreciate, and when supply
overshadows demand asset prices will fall. Indeed this holds true when markets
rise and fall as it reflects the urgency of one side of the market to trade as
opposed to the other. Yet every trade has a counter party; a buyer and a
seller. On the face of it, this clearly indicates that demand and supply are
equal, yet that price is rarely static reports to a further dynamic lending
itself to momentum, inertia and urgency.

Markets are able to
fluctuate somewhat freely on light volume as prices are pushed around by one or
two big orders on a quiet trading day. Yet when trading volumes show a
significant increase from the norm, this indicates substantial market interest.
Here, buyers and sellers of varying points of view are increasingly interested
in divesting each other of their respective positions.

While 80% of all trading
activity has been found to be stop loss oriented, this alarming fact points to
the variety of motivations that market participants adopt to investment
decisions. Some are long term some short term; some are taking profits, some
losses. Amid the confusion, one thing can be certain. When trading volume
experiences a sharp increase – a dramatic market shift is imminent as the price
has motivated substantial participants to become involved in decision making.
At the end of a prevailing trend, volume will increase markedly, and so the
market confirms this by participation. Rarely would this occur mid-trend as by
definition a trend needs urgency of either supply or demand to outweigh one the
in order to maintain its course.

Proponents of other indications
such as technical analysis’ support and resistance, momentum’s MACD index, and
mathematics’ Fibonacci numbers will all seek confirmation with an increase in
volume prior to extending a signal. Primarily as the market needs to be
supporting or rejecting a certain price, the absence of volume can hardly
suggest that is the case. Indeed dwindling volumes are more an indication that
the trend has met a natural end and that a retracement is imminent. A
retraction in trading volume indicates that momentum is slowing and will find
much profit taking entering the market, which will itself perpetuate movement
back to true value.

In this sense, volume is
rarely an indicator applied in isolation and is keenly attuned to other
indicators and in particular, momentum. Still volume must be adjudged with
relative comparison as some markets have typical volumes that would astound
others. Volume ought never to be ignored as it indicates the bastion of trading
activity – participation.

Time Tested Trading Tips… November 20.

Steve Palmquist.Author of ‘The Timely Trades Letter’. ‘How to Take Money from the Markets’, and Money-Making Candlestick Patterns. I went to the Traders Expo in Las Vegas last week. While walking the floor of the show and talking to traders, I was amazed at the number of people who were looking for a new trading technique because the one they were using was ‘not producing results’ during the last few weeks. There were a lot of slick presentations on trading, but few contained any real data indicating how the system actually performed, or how the results varied by market condition. Trading a tool based on just a few examples is a good way to drain an account. Most of these people only had one trading tool, either focused on stocks or ETFs, and did not trade both. They had no idea how their trading tool performed in different market conditions. They had no idea of how to adapt to the market conditions instead of complaining about them. Trading the same tool constantly in all market conditions is a good way to drain an account. Moving blindly from one tool to another is also a good way to drain an account. Since stock and ETF trades often work in different timeframes; I have found that trading both is an advantage to me, and lets me participate in both short term and intermediate term movements. Understanding the current market conditions and having that information drive the selection of trading tools, number of positions traded, and position sizing, is one of the keys to success. It takes some time and effort to learn this. The ‘traders’ that are looking for a simple indicator or magic tool that will lead them to riches are asking for trouble. There are no magic tools. If there were tools that required no effort to learn, and always worked, then everyone would be rich. Trading, like other professions, requires some time, effort, and expense, in order to develop the skills. None of the people complaining about the recent market environment had used that information to adjust their trading styles. In my case, I have been standing aside for a couple weeks as the market has shown unusual volatility in a tight trading range. Both of those conditions are caution signs, and together indicate it is best to sit tight and focus on protecting previous profits until the market picks a direction; which it will when it is ready. None of the people complaining about the market environment and the results of their trading were sitting tight (as the recent conditions called for). They felt that since they were traders they should be trading. When I suggested they should be focused on generating profits, not trades, and the recent environment had the odds stacked against them they were very quiet except for a couple that argued they had to be trading in order to have the opportunity to make profits. I quoted a Kenny Rogers song and told them that successful traders need to ‘know when to hold them and know when to fold them’. Sometimes the best, and most profitable, strategy is to stand aside for a week or so and let the market sort itself out. Traders need to have studied their trading tools and market conditions to know which tool is most likely to be appropriate for the current market conditions. Trading should be data driven, not based on emotion, whishful thinking, or hot tips from TV hosts. To be data driven one needs to test and analyze trading tools and find out what really works, and when each tool should be used. Traders must understand which tool to use for a specific task, and have a clear understanding of how the tool works, and what can and cannot be done with it. I have extensively tested several trading systems, the results of this testing on specific trading trading tools are outlined in ‘How to Take Money from the Markets’, and Money-Making Candlestick Patterns. The testing process helps us understand how stocks usually behave after forming a specific pattern such as being outside the Bollinger Bands, showing strong distribution or accumulation, or pulling back or retracing during a trend. Understanding what a stock is most likely to do forms the beginning of a trading strategy. Trading without this information is taking unknown risks.

AIQ: FISHER TRANSFORM STOCHASTIC OSCILLATOR

The AIQ code for Sylvain Vervoort’s put/call ratio indicator — named the IFTStoch indicator — and the related system from his article in the November issue of Stocks & Commodities, “Applying The Put/Call Ratio Indicator,” is provided at the website noted at the end of this writeup.

The code has been modified from the author’s formulas, which used weighted averaging. That type of averaging is not offered in AIQ as a built-in function and had to be coded long style; the result was very inefficient code that ran too slowly to be of any use. So I modified the formulas by substituting exponential averaging for the weighted averaging. The code now runs fast enough to be useful, and the indicators can be plotted without hanging up the processor.
I believe that the modified code can produce similar results. Although the values are not the same as the author’s values when using the same parameters, the resulting shapes of the indicators are similar.
On my website, I have a “PCratio.dta” data file that can be downloaded and saved into the “C:wintes32tdata” folder. Once the file is saved, go to the Data Manager module and run the utility “Rebuild Master Ticker List” to complete the data file installation process.
Using the system from Vervoort’s article called the SVE_Stoch_IFT, I ran a test on the NASDAQ 100 list of stocks using the Portfolio Manager module. The following capitalization settings were used:
  • Maximum of 10 open positions
  • Size each position at 10% of mark-to-market total capital
  • Take no more than three new positions per day
  • Compute the mark-to-market capital each day
  • Choose signals based on the IFTStoch indicator for ranking in descending order for longs.
In Figure 6, I show the equity curve for long-only trading on the NASDAQ 100 list of stocks. The return averaged 19% per year with a maximum drawdown of 50% on March 9, 2009.
Image 1
The short side, when tested separately from the longs, lost 91% of the initial capital by January 7, 2004, and then ceased to trade due to limited capital. The results of the short-side test are not shown.
I did not attempt to filter the trades using the put/call ratio indicators, since the author did not supply specific code for this purpose.
The code and EDS file can be downloaded from www.TradersEdgeSystems.com/traderstips.htm.
—Richard Denning

n

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Tech bulletin – 10/27/2011

Windows OS automatic update causing corrupted registration

An update from Microsoft may casue your Trading Expert Pro to receive a ‘corrupted registration’ message. To resolve this issue follow these instructions

– Click on Start, Run (or start and in the search box of) and Type Regedit.

– Double click Regedit to start the Registry Editor.

– Double click H-Key Local Machine.

– Double click Software.

– Double click WoWxxxNode.

– Double click AIQ Systems.

– Double click TradingExpert 32.

– Highlight Registration and then press the Delete key on your keyboard.

Close the Windows Registry, open the TradingExpert main menu. The icons should auto-refresh.

If you are not a myTrack customer, give Barbara a call at 800-332-2999 to get a new key, or click on Applications, Registration and email us the Registration number.

THE JK HILO INDEX

By Jay Kaeppel

No single indicator will accurately forecast or coincide with every
market top or bottom. Here, two indicators have been combined to form one
indicator that can increase your chances of identifying buy or sell points.

As a student of the market, I have
crunched a few numbers over the years. At the same time I have tried, and
cautioned others also, to avoid the temptation to divide one number by another
or multiply one number by another simply because we can.

Not every calculation involving market indicators enjoys any real purpose. In
addition, many indicators react in a manner similar to other indicators. Almost
all overbought/oversold indicators tend to get more oversold as the market
declines and more overbought as the market rallies. So stringing together more
than a handful of similar indicators does not necessarily provide any additional
benefit.

The AIQ EDS code for Jay Kaeppel’s Jkhl indicator discussed in his article in this issue, “The JK HiLo Index,” can be downloaded from www.TradersEdgeSystems.com/traderstips.htm.

Image 1
AIQ SYSTEMS, THE JK HILO INDEX. This chart shows the JKHL indicator on a chart of the S&P 500 index together with a 200-bar moving average.

! THE JK HILO INDEX
! Author: Jay Kaeppel, TASC October 2011
! Coded by: Richard Denning 8/12/2011
! www.TradersEdgeSystems.com

! HIGH-LOW INDICATORS:
! JKlogic:
NewH is TickerUDF(“OCEXCH”,[New Highs]).
NewL is TickerUDF(“OCEXCH”,[New Lows]).
Adv is TickerUDF(“OCEXCH”,[Adv Issues]).
Dec is TickerUDF(“OCEXCH”,[Dec Issues]).
Unch is TickerUDF(“OCEXCH”,[Unch Issues]).
Tot is Adv + Dec + Unch.
PctNH is (NewH / Tot) * 100.
PctNL is (NewL / Tot) * 100.
HLidx is min(PctNH,PctNL).
avgHLidx is simpleavg(HLidx,10).

! JK VERSION OF HIGH LOW LOGIC INDICATOR:
JKlogic is iff(avgHLidx > 2.15 or avgHLidx < 0.40,avgHLidx,1).

! JK NEW HIGH PERCENT:
JKnH is simpleavg(NewH / (NewH + NewL),10).

! COMBINED TWO JK INDICATORS:
!Plot as single line with upper 90 lower 20 support
JKHL is JKlogic * JKnH * 100. 

—Richard Denning

n

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