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businessJan 17, 201622:14pending

040: Larry Williams discusses algorithmic forecasting, the methods and applications of forecasting, cycles and seasonality, plus some forecasts for the markets in 2016.

About this episode

Larry Williams has been a guest of the podcast before, sharing insights from 50 years of trading in Episode 20.

In 1987 he won the World Cup™ trading championship, turning $10,000 to over $1.1 million in 12 months.

He is a published author, with a long list of best-selling books and has also created a number of market indicators including Williams %R, Ultimate Oscillator, the Williams Accumulation/Distribution Indicator, COT indices, cycle forecasts, market sentiment and value measures.

In this episode we'll be discussing algorithmic forecasting, the methods and applications of forecasting, cycles and seasonality, plus some forecasts for the markets in 2016.

In this episode we discuss

  • Why algorithmic forecasting can be so interesting and so challenging
  • Is forecasting just an academic exercise or can it actually be applied to real trading?
  • The difference between Larrys forecasts and others made in the media
  • How past cycles can project what may happen in the future
  • How Larry actually generates forecasts based on past market behaviour
  • Factors that can make forecasts inaccurate and why some factors aren't even considered when forecasting
  • How the forecasting process has changed over the years
  • Forecasts for the Australian and US markets in 2016
  • Which factors have the best forecasting ability

 

Disclaimer:
Trading in the financial markets involves a substantial risk of loss and is not suitable for everyone. All content produced by Better System Trader is for informational or educational purposes only and does not constitute trading or investment advice. Past performance is not necessarily indicative of future results.

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040: Larry Williams discusses algorithmic forecasting, the methods and applications of forecasting, cycles and seasonality, plus some forecasts for the markets in 2016.

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