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Decoding The Hidden Market Rhythm - Part 2: Metonic Cycles: A Non-Linear Approach To Identify And Trade Cycles That Influence Financial Markets - Couverture souple

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Von Thienen, Lars

 
9781499562590: Decoding The Hidden Market Rhythm - Part 2: Metonic Cycles: A Non-Linear Approach To Identify And Trade Cycles That Influence Financial Markets
Couverture souple
ISBN 10 : 1499562594 ISBN 13 : 9781499562590
Editeur : CreateSpace Independent Publishing Platform, 2014

Synopsis


The book introduces correlations between markets and external energy cycles like gravity and geomagnetism. Digital signal processing techniques are used to reverse engineer Gann’s master cycles, resulting in a 100% mechanical cycle-based trading system that has shown a compounded growth rate of 20% per year over the last 30 years when back-tested using the Dow.

The book introduces new non-linear indicators and reviews the significance of a cyclic sentiment predictor for the Dow Jones Industrial Average Index. To that end, using daily data covering the period from 1935 to 2013, ancient cycles are considered as predictors to forecast daily sentiment for years ahead of time.

Forecasts plotted as predictive indicators are transformed into a mechanical trading rule whose profitability has been evaluated against the Dow buy-and-hold performance of 1990-2013. The results suggest that trading based on recurring sentiment significantly outperforms the Dow in nearly all performance metrics, including net return, profitability, and Sharpe ratio.

Includes TradeStation / EasyLanguage code to rebuild indicators and trading system. Generic pseudo code and step-by-step guidelines included.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur


The book introduces correlations between markets and external energy cycles like gravity and geomagnetism. Digital signal processing techniques are used to reverse engineer Gann’s master cycles, resulting in a 100% mechanical cycle-based trading system that has shown a compounded growth rate of 20% per year over the last 30 years when back-tested using the Dow.

The book introduces new non-linear indicators and reviews the significance of a cyclic sentiment predictor for the Dow Jones Industrial Average Index. To that end, using daily data covering the period from 1935 to 2013, ancient cycles are condidered as predictors to forecast daily sentiment for years ahead of time.

Forecasts plotted as predictive indicators are transformed into a mechanical trading rule whose profitability has been evaluated against the Dow buy-and-hold performance of 1990-2013. The results suggest that trading based on recurring sentiment significantly outperforms the Dow in nearly all performance metrics, including net return, profitability, and Sharpe ratio.

Includes TradeStation / EasyLanguage code to rebuild indicators and trading system. Generic pseudo code and step-by-step guidelines included.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
CreateSpace Independent Publishing Platform
Date d'édition
2014
Langue
anglais
ISBN 10 
1499562594
ISBN 13 
9781499562590
Reliure
Broché
Numéro d'édition
2
Nombre de pages
238
Coordonnées du fabricant
Manufactured by Amazon on behalf of the author
https://www.amazon.fr/hz/contact-us

c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy
Luxembourg
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Luxembourg