Shaw revisits research comparing the Dow's repeated struggle with 1,000 to earlier difficulty around 100. He acknowledges that the study's intermediate projections did not hold and concludes that decimal milestones matter psychologically rather than possessing inherent market power.

The Dow repeatedly failed near a prominent round number
Historical analogies can break down
Base-ten milestones influence investor psychology
Analysts should admit when a study stops working

“Well that was all psychological anyway, you know”
Alan Shaw · 25:25

“But it was a fun exercise, Okay, it gave me something to talk about.”
Alan Shaw · 25:29

#round numbers#dow#market history#psychology

Hot Take· 1

Hot Take33:39

Why Too Many Hedge Funds Cannot Fit Through the Same Door

Asked why hedge funds struggled after the financial crisis, Shaw offers a compact crowding explanation. Too many managers pursue similar positions, so attempts to enter or exit simultaneously overwhelm the available opportunity and liquidity.

Popular strategies attract too much capital
Similar trades create congested exits
Crowding can erode formerly successful approaches
Industry growth changes the opportunity itself

“the door has to be opened bigger, meaning there's too many trades trying to get through the same or”
Alan Shaw · 33:54

“they're all crowded trade. I think so”
Alan Shaw · 34:00

#hedge funds#crowded trades#liquidity

Explainer· 1

Explainer15:43

Why Stocks Can Top When Business Has Never Looked Better

Shaw explains that stock prices discount expectations rather than merely reflecting current operating results. A company can report excellent earnings while its shares top because the favorable future is already priced in, just as a stock can bottom while business conditions remain terrible.

The company and its stock are separate analytical objects
Markets discount future expectations
Tops can form amid excellent current news
Behavioral forces such as fear and greed shape price

“Stocks can top out when the business couldn't be better, like they will bottom that out when the business couldn't be worse.”
Alan Shaw · 16:25

“Fear, greed, greed, fear, you know all that stuff. It all plays into that psychology”
Alan Shaw · 16:31

#discounting#behavioral finance#market psychology

Story· 3

Story03:02

How Flunking Out Led Alan Shaw to Wall Street

Shaw recounts leaving college, selling Wall Street Journal subscriptions, and impressing a brokerage manager who helped him secure an interview at Harris Upham. He entered research in a clerical role, attended night school, and found a formative mentor in market historian Ralph Rotnem.

Shaw's father reframed failure as part of success
A sales encounter opened the door to brokerage research
He began without a degree in a low-paid clerical position
Ralph Rotnem became his principal mentor

“You don't know what success is unless you fail every now and again.”
Alan Shaw quoting his father · 03:24

“Ralph was my mentor. I mean, he was the greatest walking living historian.”
Alan Shaw · 05:46

#career#mentorship#wall street#failure

Story06:31

The Food-Stock Report That Made Shaw an Instant Research Star

As a new consumer nondurables analyst, Shaw researched how convenience foods and high-margin products could transform food companies into growth stocks. The report appeared during a market cycle already favoring the sector, and nearly every recommendation doubled or tripled, teaching an implicit lesson about skill, timing, and favorable regimes.

Convenience foods were improving industry growth and margins
Shaw conducted extensive research before publishing
The market cycle strongly favored consumer nondurables
Exceptional performance rapidly established his reputation

“I did research, but upon research, upon research, upon research”
Alan Shaw · 07:35

“Within the next year, every stock in this report, if it didn't double, it tripled.”
Alan Shaw · 08:49

#food stocks#market cycles#equity research#career

Story42:09

The Teledyne Short That a Buyback Blew Up

Shaw describes recommending a Teledyne short after seeing what looked like a large top and first confirming that shares could be borrowed. Two days later, Henry Singleton announced a buyback roughly ten points above Shaw's recommended short price, producing a failure caused by an external corporate action he could not foresee.

The chart suggested a substantial top
Operational feasibility required checking stock-borrow availability
An unexpected buyback invalidated the short thesis
Some losses arise from events outside an analyst's information set

“I had a curl a call that failed that I could not learn from.”
Alan Shaw · 42:26

“two days after that recommendation went out, Mr Singleton announced a buy back”
Alan Shaw · 43:17

#teledyne#short selling#buybacks#risk

Q&A· 2

Q&A35:10

Do Autonomous Trading Computers Reproduce Human Market Emotion?

Reflecting on a computer-driven trading room at the Tokyo Stock Exchange, Shaw questions whether traditional behavioral interpretations survive when machines trade with one another. He does not claim an answer, instead asking whether algorithms can create analogues of emotional excess, overheating, and buying or selling climaxes.

Computer-to-computer trading removes visible human participation
Algorithms may operate beyond direct moment-to-moment control
Traditional chart analysis often interprets emotional behavior
Machine markets raise unresolved questions about climaxes and excess

“We're not running those computers. They're running themselves.”
Alan Shaw · 36:10

“Do the computers have emotions? Do they overheat an example, or they run out of power?”
Alan Shaw · 36:20

#algorithmic trading#behavior#technology#market structure

Q&A49:39

Where New Technical Analysts May Find Work Today

Shaw contrasts the many brokerage research departments of his early career with the diminished modern sell side. While he would once have advised starting in sell-side research and later switching, he suggests that today's buy side may offer more opportunity for the discipline.

Sell-side technical research roles were once widespread
Brokerage consolidation eliminated many traditional positions
Historical career advice no longer maps cleanly to today's market
The buy side may now offer better opportunities

“if we're back in those days, get a job on the cell side. You can always switch to the bye side.”
Alan Shaw · 51:14

“maybe more opportunity on the bye side than the cell side for this, for this, for this discipline.”
Alan Shaw · 51:31

#careers#buy side#sell side#research

Tool· 2

Tool23:18

Why a 40-Point Dow Move Needs Percentage Context

Shaw criticizes linear and nominal reporting when market levels have changed dramatically. He recommends geometric or semi-log charts because an identical point move has radically different significance at 500 and 20,000.

Nominal point moves lack scale context
Percentage significance changes with the index level
Semi-log charts make long-term comparisons more meaningful
Financial reporting can exaggerate insignificant fluctuations

“If you're studying the market today, throw out your linear charts. You need geometric charts, you need semi log graphs.”
Alan Shaw · 23:27

“one it was five hundred forty points was crashing, But not when it's twenty thousand.”
Alan Shaw · 23:55

#log charts#dow#market context#financial media

Tool44:19

Alan Shaw's Reading List for Technical Analysts

Shaw recommends a mix of technical classics, market history, contrary-opinion literature, and crowd psychology. His list includes William Giler, Edwards and Magee, Granville, Garfield Drew, Reminiscences of a Stock Operator, Popular Delusions and the Madness of Crowds, and contemporary work by Bob Prechter and Ned Davis.

Read technical-analysis history as well as current methods
Study crowd psychology and contrary opinion
Older books reveal how chartists actually worked
Cross-disciplinary reading strengthens market judgment

“How Charts can help You in the stock Market by William Giler, very simple published back in the sixties”
Alan Shaw · 44:32

“The Bandess of Crowds helped me along? Yes, uh, popular delusions and the Madness of crowds?”
Alan Shaw · 48:24

#books#technical analysis#crowd psychology#investing

Takeaway· 5

Takeaway22:01

What Analysts Lose When They Stop Updating Charts by Hand

Shaw argues that personally updating charts develops an intuitive feel for supply and demand that delegation may not provide. Even with staff maintaining hundreds of charts, he regularly updated several books himself so he could observe changes directly.

Repeated chart updates deepen pattern recognition
Delegating all maintenance can weaken direct observation
Experience creates a feel for changing supply and demand
Technology may improve speed while reducing engagement

“the thing I love to do is actually see what is really going on and update these charts.”
Alan Shaw · 22:28

“Letting someone else do it wasn't really benefiting me at all.”
Alan Shaw · 22:37

#charting#practice#pattern recognition#technology

Takeaway38:40

Stop Selling Technical Analysis with Shampoo Jargon

Shaw advises analysts to explain charts through accumulation, distribution, supply, and demand rather than colorful labels such as head and shoulders, wedges, or flags. Mechanistic language is clearer for clients and gives skeptics fewer opportunities to dismiss the analysis as unserious.

Describe why a pattern forms
Translate charts into supply-and-demand behavior
Avoid terminology that invites ridicule
Keep client communication concise and practical

“I'd never talked about the shampoo.”
Alan Shaw · 38:45

“bring up the reason that those patterns were forming as you're excused distribution, accumulations, supply demand.”
Alan Shaw · 39:22

#communication#technical analysis#clients#jargon

Takeaway43:51

Read Future Shock to Understand Faster Markets

Shaw recommends Alvin Toffler's work as a macro lens for understanding the accelerating rate of change. He argues that stock markets have sped up alongside technology, making awareness of societal and technological acceleration useful beyond conventional technical-analysis texts.

Technological change accelerates market behavior
Useful investing insights can come from outside finance
Future Shock provides a macro framework for acceleration
Historical tools must be reconsidered as markets evolve

“Start with the understanding of the acceleration of the rate of change, because that's what the stock markets have been doing for years now”
Alan Shaw · 43:58

“go back and read all of Alvin Toffler's books. Start with Future Shock.”
Alan Shaw · 43:54

#future shock#technology#books#market change

Takeaway51:38

Take the Work Seriously Without Taking Yourself Seriously

Looking back on his career, Shaw says creative communication and intellectual openness mattered more than appearing sophisticated. His playful rubber-band demonstration embodied a willingness to risk looking foolish if a simple story could open minds and clarify a market possibility.

Professional rigor does not require personal solemnity
Simple demonstrations can communicate difficult ideas
Fear of ridicule can suppress useful creativity
Technical analysis benefits from exploratory thinking

“I never took myself seriously. I took my work seriously.”
Alan Shaw · 51:46

“I was never afraid to make a fool out of myself.”
Alan Shaw · 51:51

#humility#creativity#career lessons#mindset

Takeaway53:25

Shaw's Final Rule: Keep Technical Analysis Simple

Despite the enormous growth in available computing power and analytical tools, Shaw remains committed to the KISS principle. He warns analysts against needless complexity and emphasizes extracting a clear market message rather than becoming buried in techniques or terminology.

More computing power does not guarantee better judgment
Complexity can obscure the market's message
Simple tools can remain effective
Analysts should resist unnecessary elaboration

“I also have a firm believer of the kiss syndrome. You all know that one. Keep it simple, stupid”
Alan Shaw · 53:30

“try not to get too oldly involved”
Alan Shaw · 53:37

#simplicity#kiss principle#technical analysis#decision making

Frameworks in this episode

Adaptive Point-and-Figure Compression

Blind-Chart Bias Test

Fundamentals for What, Technicals for When

Oversold Recovery Confirmation Rule

Rubber Band Reversal Thesis

Small-Loss, Big-Profit Discipline

Insights & moments

⚡Myth Buster· 1

Dow 1,000 Was Psychology, Not Mathematical Destiny

◆Hot Take· 1