Advance-decline, high-low and volume combine to create a new market yardstick.
By William Mason; pages 9–12.
Steel those nervesrelive one trader’s first day on the floor.
By Joseph Wilson; pages 13–15.
How logarithmic charts beat their arithmetic counterparts in detecting price
By Luis Ballesca Loyo; pages 16–20.
How to balance long and short stock for a 29%–40% annual return.
By Larry Christy; pages 21–25.
Dissect the innards of the most accurate of 40 stock market indicators.
By Arthur A. Merrill; pages 26–27.
Why chasing price most often takes money out of your pocket.
By Jerry Kopf; pages 28–29.
Complete Wilder’s DMI rules and test the accuracy of this system.
By Jim Summers; pages 30–34.
How odd lot short sales indicate stock market turning points.
By Arthur A. Merrill; page 37.
A graphic look at where the two camps of Elliotticians would send the Dow
Jones Industrial Average.
By Jack K. Hutson; page 39.
Build price data streams to test your trading systems.
By D. Howard Phillips; pages 40–42.
Elliott’s Rule of Equality demands a recount of the Supercycle’s
By Elliot Brenner; pages 43–46.
Test results show how well inside days predict the next day’s trading
By Toby Crabel; pages 47–49.
The founder of Commodity Research Institute lays out time-tested techniques
for off-floor traders.
By John Hill; pages 50–55.
Delve into a strategy that issues buy/sell signals for a number of common
By John A. Narvarte; pages 53–55.
A variation of Moving Average Convergence-Divergence selects daily and weekly
By Thomas Aspray; pages 56–61.
Some formula generators just don’t get the respect they deserveand
this one deserves it.
By John Sweeney; pages 62–66.
A numerical series that solves random walk to beat the markets.
By Peter Eliason; pages 69–72.
How well will your technical indicator predict the markets? Test it with
the cells method.
By David Aronson; pages 73–75.
A new indicator charts entry/exit points on the strength of money entering
and leaving the market.
By Gene Quong and Avrum Soudack; pages 76–77.
Work step-by-step through a time-honored charting method that has not lost
By Charles Idol; pages 78–81.
Evaluate any index or data set for turning points over a range of sensitivities.
By William Mason; pages 82–85.
Simple vs. complex formulas which gives you the most effective results?
By John Ehlers; pages 87–90.
Are popular trading strategies destabilizing the stock market?
By Robert A. Wood; pages 91–95.
A core strategy to keep you on the right side of the market.
By Steve Notis; pages 96–99.
Easy-to-access stock market statistics show whether the “smart money” is accumulating or distributing. By Arthur A. Merrill; page 100.
Who’s moving the stock market? Short sales clue you in to where the
power is stored.
By Arthur Merrill; pages 103–105.
Fundamental P&F patterns show you how to forecast price moves and profit
By Charles Idol; pages 106–108.
Create a customized oscillator from you collection of favorites.
By William Mason; pages 109–111.
No computer handy? Yes, you can forecast highs and lows with just a pen
By Curtis McKallip Jr; pages 112–114.
Use option activity to measure investor sentiment for daily or weekly stock
By Ray Hines; pages 115–118.
Test how profitability increases when you trade the ORB after an NR4 pattern.
By Toby Crabel; pages 119–120.
Tests reveal when range extensions and profitable intraday trading are most
By Thomas P. Drinka and Stephen M. Ptasienski; pages 121–123.
Finetune trading filters and trend channels with this enhanced QuickBASIC
By Anthony W. Warren PhD; pages 124–128.
Take inventory of your behavior and turn around habits that get in your
By James Covington Bryce; page 131.
Under careful analysis, cyclic commodities reveal their true natures.
By John Ehlers; pages 132–134.
Day trade commodities with cycles that predict tomorrow’s market direction.
By Russell L. Miller; pages 137–139.
Three short sales ratios say bullish is in for 1989.
By Arthur Merrill; pages 140–142.
Elliott, Gann and Fibonacci create a three-dimensional trading plan for
less risky profits.
By Robert Miner; pages 143–146.
Apply the stock market’s traditional breadth indicator to commodities
to forecast tops and bottoms.
By Thom Hartle; pages 147–149.
Learn how to trade two classic chart patterns as they unfold in real-time.
By Thomas Aspray; pages 150–153.
Value vs. dollar averaging which strategy wins out? By
Charles Idol; pages 154–156.
Step inside a real-time analysis/reviewer says is tops.
By Rich Rosen; pages 157–158.
Check out econometrics on disk for stock and mutual fund traders.
By Mark Hallinan; pages 159–160.
Two chart patterns probe better than one when it comes to pinpointing trending
By Toby Crabel; pages 161–163.
Calculate this indicator and discover how much enthusiasm the big operators
have for stocks.
By Arthur Merrill; pages 165–167.
Follow a three-step process to determine if you really want to
succeed in the markets.
By Van K. Tharp; pages 168–170.
Yes, there is quantifiable evidence for Monday trading blues and mid-week
By L.R. James; pages 171–173.
Three methods to overcome the data gap in new debit issues.
By Gerald S. Celaya. 174–176.
Feeling bogged down, waiting for your moving averages to cross? Here’s
a way to jazz up their response time.
By Grady Garrett; pages 177–179.
Point and figure charts for commodities? Yes! Add Gann angles and day trading
software to catch the most opportune signals.
By Douglas Arend; pages 180–184.
A new systems section tests results of the oldest trading tools.
By Peter Aan; pages 185–187.
Make downside profits when the bear hook pattern growls from you commodity
By Toby Crabel; pages 188–189.
Use John Ehlers’ trading system to find and exploit market cycles.
By John Sweeney; pages 190–193.
A novice speculator finds that CDs don’t have the same kick after
riding a commodity roller coaster.
By Jean Dilling; pages 194–198.
Use this complete set of equations to project prices on arithmetic and logarithmic
By Luis Ballesca Loyo; pages 201–202.
A new definition of value alerts traders to market changes. By Donald L. Jones; pages 203–208.
Be ready for an uptrend when the bull hook price pattern appears.
By Toby Crabel; pages 209–210.
Two Federal Reserve Board statistics give ominous signals for the 1989 stock
By Arthur Merrill; pages 211–213.
Uncover some of the driving forces behind precious metals’ price variances.
By L.R. James; pages 214–216.
When it comes to testing trading system quickly, this piece of software
is an indispensable tool.
By Jim Summers, PhD; pages 217–219.
The 40.68-month cycle may have shifted. Here’s how to tell.
By Gary Zin; pages 220–223.
Volatility determines what’s hot and what’s not; simulation
pinpoints profitable point spreads.
By Peter Eliason; pages 224–226.
The Kondratieff wave; economic phenomenon or statistical fiction?
By Jeff Walker; pages 227–239.
Is Wilder’s Volatility System for you? Check out the test results. By Peter Aan; pages 230–232.
Generate regular profits like the pros by combining the best of both worlds
opinion and math.
By Jerry Kopf; pages 233–234.
A top-notch charting program complete with data service.
By Steve Notis; pages 235–236.
Mean or standard deviation? Is one a better measure of risk?
By Clifford J. Sherry, PhD; pages 239–240.
Use your computer power to determine when commodities have more than a 50–50
chance of moving profitably.
By Kent Calhoun; page 241.
Tests reveal how RSI fares as an indicator of trend vs. overbought/oversold.
By Peter Aan; pages 243–245.
Ease your selection of financials with an index that shows divergence.
By Patrick Cifaldi; pages 246–248.
Catch short-term bounces in options with this new futures indicator.
By Dan Downing; pages 249–250.
Daily newspaper data tunes into the speculative tone of the market.
By Arthur Merrill; pages 251–253.
If a mechanical rule could be developed for spread trading, it could lead
to a low-risk portfolio of spreads that provides a superior alternative to
a portfolio of out-right futures positions. This author tests some rules
and finds that rigid rules prove unprofitable.
By Louis Lukac and B. Wade Brorsen; pages 254–258.
An author finds that the Investor’s Daily is all you need
to be a daily technician. This article shows you step-by-step how to look
By Thomas K. Lloyd; pages 259–262.
Work step-by-step through the short- and long-term charts of two stock picks.
By Charles Idol; pages 263–266.
Three simple equations uncover logical profit targets.
By Joe DiNapoli; pages 267–268.
Review five top-of-the-line systems to manage your accounts.
By Mike Takano; pages 269–272.
Duty or passion? In either direction there is poetry in work.
By Sara Nuss-Galles; page 273.
Quickly decipher market contraction/expansion with this clean, 2-dimensional
By Thom Hartle; pages 275–277.
Pinpoint and work out the biases in ratio indicators.
By William Mason; pages 278–281.
Offset the Demand Oscillator’s lag on the sell side with two momentums.
By Thomas Aspray; pages 282-285.
Get tactical with options: average your buys and sells, and don’t
forget the stop.
By Jerry Kopf; pages 286–287.
Open-to-close price patterns reveal workable beginnings for trading system
By Toby Crabel; pages 288–291.
Do funds exhibit classic P&F patterns? Take a test drive.
By Charles Idol; pages 292–294.
The channel breakout system embodies a refined version of Richard Donchian’s “weekly
rule” system formulated many years ago. If intraday stops are used to
reverse positions, this system has the advantage of being able to participate
in every well-defined major market move.
By Peter Aan; pages 295–297.
This short-to-intermediate leading indicator picks tops and bottoms and
forecasts a market peak.
By Richard Mogey; pages 298–300.
Smooth the ARMS Index, modify it or use just a piece of it to call the stock
market bearish or bullish.
By Arthur Merrill; pages 301–303.
Integrate spreadsheets, charting programs and data services to calculate
By Jim Summers; pages 304–306.
Customize indicators by tweaking momentum and filtering noise through moving
By John Ehlers; pages 307–309.
Pop-up windows and a mouse make sophisticated real-time analysis fast and
By Steve Notis; pages 310–314.
A new module puts CompuTrac head to head with the best of TA software.
By Toby Crabel; pages 315–320.
Are technically oriented managers using their clout to move markets?
By Wade Brorsen and Scott H. Irwin; pages 323–325.
Moving averages are great, but numeric filters show clearer trends and fewer
By J.S. Payne, PhD; pages 326–330.
How to work both the long and short sides of options.
By Jerry Kopf; pages 331–332.
Forecast change in trend with two well-known ratios.
By Marcus Robinson; pages 333–335.
Does the 5th estate have a 6th sense? Consider how well the financial press
performs as a market barometer.
By Grant Noble; pages 336–339.
Monitor the two most volatile stock exchanges for warning sings.
By Arthur Merrill; pages 340–342.
An author tests for statistical significance of historical patterns and
whether they are different from patterns observed in random data, and finds
that, often, they are not.
By Nelson Weiderman, PhD; pages 342–345.
An author looks at three reversal patterns that have two things in common:
a high that’s higher than the previous days high and a close that’s
below yesterday’s close. The conclusion? Find another method of detecting
market tops and bottoms.
By Peter Aan; pages 347–349.
Unverifiable data raises questions about undisclosed system.
By Vicki Parker Lee; pages 350–354.
Lessons from flight training keep this commodities broker flying high.
By Ana Maria Wilson; pages 355–356.
Don’t let compatibility problems bog you down in data drudgery.
By Steve Notis; pages 357–358.
Analyze U.S. contracts in foreign currency rates and indices.
By Charles Milmoe; pages 359–361.
Retracements, trading ranges and breakouts yield consistently profitable
stock market patterns.
By Tom Johnson and Market Boucher; pages 362–364.
The Market Facilitation Index is an objective means of measuring facilitation
of trade, or how well the market is working. Use this indicator to obtain
a realistic profile of the market at any given time.
By Charles F. Wright; pages 365–268.
A basic package that’s easy to use.
By Hans Hannula; pages 369–371.
Closing price sequences hold a key to next day price direction.
By Toby Crabel; pages 372–374.
By Joseph Barics; pages 375–377.
Download stock data from your TV, with no monthly charges.
By Jim Rader; pages 378–379.
Teaching technical theory isn’t complete until this floor trader’s
pupils understand not only what a trading model can, but what it can’t
By John Sweeney; pages 381–384.
A simple short-term oscillator identifies the market’s current potential
for higher or lower prices.
By Thom Hartle; pages 385–386.
Inside day chart formations give a strong clue to the market’s next-day
By Toby Crabel; pages 387–390.
Order masquerading as disorder a sweeping revolution in the sciences is
bringing to light the patterns underlying random behavior.
By Bernd Anders; pages 391–395.
Yes, the dynamics of supply, demand, equilibrium and elasticity taught in
ECON 101 do drive market patterns.
By Curtis McKallip; pages 396–399.
A step beyond artificial intelligence, neural networks promise a new way
to forecast the future by learning from the past.
By Carol H. Halquist and George F. Schmoll, II; pages 400–404.
Discern the randomness of time periods to make your technical tools more
By Frank Tarkany; pages 405–410.
Unfortunately, picking entry points typically gets more attention than picking
exiting points, when, actually, skillfully selected exit points can make
the difference between a profit and a loss.
By John Ehlers; pages 408–410.
Testing bears out that accolades are due this trailing stop system.
By Peter Aan; pages 411–413.
Research shows it pays to listen to what the advisors are saying then do
By Arthur Merrill; pages 414–415.
Buy-writes are fine for sideways markets but put-writes participate in trending
By Jerry Kopf; pages 416–417.
A new testing method identifies system parameters that hang on to profits
as the market shifts.
By Kent Calhoun; pages 418–421.
An interview with Jack Schwager on what makes the most successful traders
By Van K. Tharp; pages 423–427.
How to use tactical stock trading to save profits on a downtrend without
dampening out the uptrend ride.
By Hugh Logan; pages 428–430.
A seldom-used average that profits from every well-defined trend.
By Peter Aan; pages 431–432.
Does the Golden Ratio really show up in stock market data or is it all wishful
By Herbert H.J. Riedel; pages 433–436.
A volume-driven method for timing the market.
By James S. Gould, PhD; page 437.
Rather than focus on market direction, use hedging strategies that work
By Andrew J. Sterge; pages 438–441.
A one-of-a-kind charting program with unique indicators.
By James S. Gould, PhD; pages 442–444.
Systematically build a portfolio of stock funds that beats the market with
a minimum of turnover.
By Gary Zin, PhD; page 445–448.
Simple-to-draw Gann Lines enhance P&F’s ability to track large
moves and impending reversals.
By Douglas Arend; page 449–452.
Anticipate cycle tops and bottoms with a set of volume indicators.
By Mike Burk; page 453–455.
The creator of Equivolume charting introduces his basic concepts and a new
By Richard W. Arms, Jr; page 456–457.
Which calculation tells you whether a system will send you into bliss or
give you a nervous breakdown? PTMED. Read on!
By Kent Calhoun; pages 458–459.