Empirical Optimization of Bollinger Bands for Profitability
Author(s) -
Oliver Williams
Publication year - 2006
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.2321140
Subject(s) - profitability index , computer science , economics , econometrics , finance
This paper endeavours to evaluate the profitability of Bollinger Bands through an empirical study. Bollinger Bands are able to capture sudden fluctuations in price level, which may be useful when tweaking its inputs to derive a trading rule. For the purpose of projecting prices, technical analysts have chosen a moving average of 20 days for short term analysis and 200 days for long term analyst. Moving averages in relation to profitability is the focus of this study. What follows is a discussion on the development of Bollinger Bands from trading bands, and moving averages. After testing a simple trading rule on the components of the DOW 30 index there is a revelation that a single moving average window cannot be used to derive an all (security) encompassing trading rule.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom