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Momentum, direction, and divergence cover

Momentum, direction, and divergence

by William Blau · 1995
Who this is for
Technical analysts and systematic traders who already use oscillators and want a more rigorous, less noisy version. Not a starting point for someone new to technical analysis.
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KEY TAKEAWAYS

What this book actually teaches

  1. 01Double-smoothing price momentum with two sequential EMAs produces oscillators that are both smoother and more responsive than single-smoothed RSI or stochastics.
  2. 02The True Strength Index (TSI) is Blau's signature indicator and the cleanest expression of the double-smoothing approach.
  3. 03Divergence between price and a smoothed oscillator is treated as the highest-value signal, though it is prone to hindsight bias in practice.
  4. 04Lookback parameters should be tested per market, not accepted as defaults — the engine generalizes, the settings do not.
  5. 05This is a methods monograph, not a trading system; risk management, sizing, and rigorous backtesting are out of scope.
◈ THE SUMMARY

What's in this book

Scored against ClearValue's published methodology ·

William Blau's argument in Momentum, Direction, and Divergence is that conventional momentum oscillators like the Relative Strength Index and the stochastic give lagging, noisy signals because they use single-period smoothing, and that double-smoothing the underlying price change — applying an exponential moving average to the momentum, then a second EMA to the result — produces indicators that are both smoother and more responsive. The book is a technical-analysis methods text aimed at building a better oscillator toolkit.

The arguments develop a small family of indicators. Blau introduces the True Strength Index (TSI), his best-known contribution, which double-smooths price momentum and its absolute value and divides them to produce a bounded oscillator that swings between meaningful extremes without the choppiness of an unsmoothed RSI. He extends the same double-smoothing logic to build directional indicators and to refine stochastic-style oscillators, arguing that the same engine — two EMAs applied in sequence — generalizes across the oscillator family. He then works through the practical interpretation: zero-line crossings, overbought/oversold thresholds, and especially divergence between price and oscillator, which he treats as the highest-value signal because it identifies waning momentum before the price reverses. The later chapters apply the indicators to futures and stock charts and discuss parameter selection — the lookback periods for the two EMAs — and how to test the indicators on a specific market rather than accepting default settings.

This is aimed at technical analysts, systematic traders, and active investors who already use oscillators and want a more rigorous, less noisy version. It assumes the reader is comfortable with EMAs, lookback periods, and basic chart interpretation.

The weaknesses are real. The book is narrow by design — it is a methods monograph on smoothing, not a complete trading system, so there is no risk management framework, no position sizing, and no edge testing beyond visual chart inspection. Visual chart inspection is itself a weak form of evidence; modern readers would want walk-forward backtests on out-of-sample data, and the book predates that standard. Divergence trading, which Blau elevates, is notoriously prone to hindsight bias — divergences are obvious after the reversal and ambiguous in real time. And the double-smoothing approach, while cleaner, still inherits the fundamental problem of all momentum oscillators: it works in trending and mean-reverting regimes differently, and the book does not give the reader a regime filter.

Worth reading for the technical analyst who specifically wants a better-engineered oscillator and is willing to do the testing work the book does not. Not a starting point for someone new to technical analysis.

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About William Blau

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