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Future trends from past cycles

Future trends from past cycles
indentifying share price trends and turning points through cycle, channel and probability analysis

  • ISBN: 9781871857047
  • Editorial: Harriman House Publishing
  • Lugar de la edición: Petersfield. Reino Unido
  • Encuadernación: Rústica
  • Medidas: 24 cm
  • Nº Pág.: 304
  • Idiomas: Inglés

Papel: Rústica
47,13 € 42,42 €
Stock en librería. Envío en 24/48 horas

Resumen

Harnessing probabilities with groundbreaking precision "Future Trends from Past Cycles" explains how to identify potential future trends and turning points in equity prices (short, long and medium-term) by analysing past cycles in market data. Brian Millard's renowned technical expertise and mathematical insight forms the basis of this fascinating guide, built around a blend of cycle, channel and probability analysis. With a thoroughly documented methodology, and numerous worked examples at every step of the process, this is an exceptionally lucid and insightful contribution to the literature of technical analysis. It will help the trader to harness probabilities to their advantage, and to limit their risk, with greater precision than ever before. Finding the key 10 percent with a trading triple lock, this book teaches you how to use cycles in your trading in a way that hasn't been attempted previously. At its heart are the three disciplines of cycle, channel and probability analysis, which ensure a triple lock on probability - massively reducing the blind spots and speculative nature common to more one-dimensional technical approaches. While the general view of technical analysts is that virtually all securities can be analysed for future movement, the detailed workings and research in this book shows that this is not the case. Only a small number, around 10percent, have cycles which extrapolation shows to be currently in a stable state and which therefore would appear to be predictable. Brian Millard details the mechanics of identifying this 10percent - estimating the stability of trend positions, drawing probability boundaries for price positions, and deducing the core probability of any given price trend. He looks closely at the various forms of risk at play in the markets, uncovers the hidden mathematics of price movement, and shows how to simulate future movements; as well as presenting ideas on the best new ways to read cycles, evaluate mathematical trends, p

Resumen

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