The New Science of Technical Analysis — DeMark: COMPLETE

The author, cited openly from the book's own presentation material and the official biography at demark.com: Thomas R. DeMark began his career in 1971 as a securities analyst in the investment unit at National Investment Services — a pension and management concern in Wisconsin with billions under management. There, in the early 1970s, the question that came to define his life was awakened: when the portfolio is full of stocks and the stock exchange begins to buckle — exactly WHEN does one sell? Fundamental reports gave no answer to the timing question, and the technical analysis of that era gave only answers of the draw-a-line-and-see type.

In 1982 he founded DeMark Investment Advisory, advisor to some of the largest funds and managers — and the career as the institution's advisor was underway.

The book came out in the Wiley Finance series in September 1994, around 264 pages, with the subtitle's whole program in the title: The New Science of Technical Analysis — the NEW SCIENCE. The same year the book was published DeMark was special advisor to Leon Cooperman at Omega Advisors and founded Market Studies, a company that distributed his market timing software to data vendors such as Bloomberg and CQG. Before the book he had consulted for some of the world's largest trading institutions — Goldman Sachs, Dean Witter, Citibank, IBM's pension fund and Paul Tudor Jones are named in the official biography.

And after the book came the most famous relationship: Steven A. Cohen at SAC Capital (later Point72) — the Washington Post profiled the collaboration in 2012 under the headline The math of God, and Fortune could report in 2016 that Cohen consults DeMark daily, a collaboration lasting nearly thirty years. That background is what makes the book unique in the literature: it is written from inside institutional trading rooms, by someone whose indicators were used with real money before they were published.

The differentiation against the sibling courses in the book master, as the course assignment requires. Encyclopedia of Chart Patterns (Bulkowski) is the STATISTICS over subjective patterns — frequency and fake frequency measured after the fact. Martin Pring on Market Momentum (bk-060) is the CONCEPT of momentum — speed, divergence, three clocks. Bollinger on Bollinger Bands is the ADAPTIVE volatility — bands that breathe with the market. The Trend Following Bible (Abraham, bk-067) is the REGIME — breakout and risk over months.

The New Science of Technical Analysis is the MECHANICS — timing rules that are to be executable without a single eyeful: TD Points, TD Lines, qualified breaks, DeMarker, REI, Sequential, Combo. Where the other books describe phenomena, DeMark specifies rules. And where he cannot specify — Elliott waves, Gann angles, Fibonacci levels — he attacks, which chapter 11 is devoted to.

AKM1 bridge — the book's whole project can be formulated in AKM1's language: the judgment must be built into the definition. Where AKM1's twenty variables force fundamental analysis through the same hole every time, DeMark's TD rules force technical analysis through the same hole every time.

The difference is the raw material: AKM1 scores balance sheets, DeMark scores price closes. The course's controversy chapter (12) will show why that difference — testability versus adaptability — is the entire verdict.

The accusation, which the book drives through the entire text: traditional technical analysis is subjective art dressed as science. Trendlines are drawn where the eye thinks they fit — same chart, two analysts, two lines. Head-and-shoulders patterns are recognized in hindsight but rarely in advance. Elliott waves can be counted at least three ways on the same curve. Fibonacci retracements are applied with a handful of fixed numbers that no one has ever derived from the market's mechanics.

DeMark's question is not whether the patterns exist — it is: can the rule be written so exactly that a computer can follow it and two strangers get the same answer? If not, he says in substance, the tool is not an analysis but a projection surface.

The program he formulates — and which the whole book implements: first, signals are to be generated mechanically, without the analyst's judgment. Second, the definitions are to be exhaustive: he strives, in the book's own cause, to enumerate the price movement's permutations — every combination of tops, bottoms, gaps and closes is to have a rule, not a pleasure.

Third, the rules are to hold across markets and time frames: the same Sequential logic on futures, currencies, indexes and stocks, on daily as weekly bars. And fourth: price is the only raw material — no macro, no news, no feeling. That is why the book despite its age is still read: it is a whole method for converting price data into decision rules.

The course's honesty note, which the controversy chapter will carry through: objectivity is not the same as truth. A rule can be perfectly mechanical and still worthless — flipping a coin mechanically at every ninth close is also objective. The science in the title applies to the rule set (replicability), not to the existence of the edge (forecast power). The academic review of technical trading rules — Park and Irwin's survey from 2007 is the standard reference — finds documented profitability in certain studies but at the same time points out the data snooping risk: when thousands of rules are tested on the same history, some become significant by pure chance.

DeMark's library of dozens of indicators is exactly the type of workshop that critique describes. Keep both truths alive throughout the course: the mechanics are admired here, the evidence is tested in chapter 12.

AKM1 bridge — the philosophy is identical to AKM1's: the same analysis through the same hole every time. AKM1 solves it with twenty defined variables and a five-grade scale; DeMark solves it with countable definitions (four bars back, nine closes, thirteen steps).

Note also the kinship with the Quantitative Value course: Gray and Carlisle demanded that the model — not the gut — makes the decision; DeMark demanded that the definition — not the eye — draws the line. Same idea, two raw materials: balance sheet and price.