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Candlestick forecasting for investments : applications, models and properties / Haibin Xie, Kuikui Fan and Shouyang, Wang

By:

Xie, Haibin

Contributor(s):

Material type: Text

TextSeries: Routledge Advances in Risk ManagementPublication details: London Routledge 2021Description: 114pISBN:

9780367703394

Subject(s):

DDC classification:

332.1 XIE-H

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Shelving location	Call number	Copy number	Status	Date due	Barcode	Item holds
Books	BITS Pilani Hyderabad	330	General Stack (For lending)	332.1 XIE-H (Browse shelf(Opens below))	GBP 38.99	Available		48452

Total holds: 0

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Previous	332.1 KID-N Contemporary banking in India /	332.1 NIT-V Banking and financial systems /	332.1 PAT-V Great bank robbery : NPAs, scams and the future of regulation /	332.1 XIE-H Candlestick forecasting for investments : applications, models and properties /	332.1028 JAN-S Machine learning for algorithmic trading : predictive models to extract signals from market and alternative data for systematic trading strategies with Python /	332.10285 SAM-S Retail banking technology :	332.1068 PER-A Reinventing financial regulation : a blueprint for overcoming systematic risk /	Next

Candlestick charts are often used in speculative markets to describe and forecast asset price movements. This book is the first of its kind to investigate candlestick charts and their statistical properties. It provides an empirical evaluation of candlestick forecasting. The book proposes a novel technique to obtain the statistical properties of candlestick charts. The technique, which is known as the range decomposition technique, shows how security price is approximately logged into two ranges, i.e. technical range and Parkinson range.

Through decomposition-based modeling techniques and empirical datasets, the book investigates the power of, and establishes the statistical foundation of, candlestick forecasting.

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