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ArticleAutomated trading with performance weighted random forests and seasonality

Ash Booth2013

Article2013

Automated trading with performance weighted random forests and seasonality

Ash Booth · Enrico Gerding · Frank McGroarty

153 citations·0/0 files stored·Expert Systems with Applications

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Stock Market Forecasting Methods Financial Markets and Investment Strategies Forecasting Techniques and Applications

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References

1970EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK*1970Efficient Capital Markets: A Review of Theory and Empirical Work 1980Stock returns and the weekend effect 2003Financial time series forecasting using support vector machines 2001Application of support vector machines in financial time series forecasting 1988Are Seasonal Anomalies Real? A Ninety-Year Perspective 2004Forecasting stock market movement direction with support vector machine 1999Using genetic algorithms to find technical trading rules

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2021Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework 2022A survey on machine learning models for financial time series forecasting 2024Data-driven stock forecasting models based on neural networks: A review 2015An intelligent short term stock trading fuzzy system for assisting investors in portfolio management 2021Stock Trend Prediction Using Candlestick Charting and Ensemble Machine Learning Techniques With a Novelty Feature Engineering Scheme

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1995Chapter 17 On the predictability of common stock returns: World-wide evidencechapter · 8 shared references 2006Seasonalities in China's Stock Marketsarticle · 8 shared references 2016Bridging the divide in financial market forecasting: machine learners vs. financial economistsarticle · 7 shared references 1995Calendar effects in the London Stock Exchange FT–SE indicesother · 7 shared references 2018Efficient Market Hypothesis And Stock Market Anomalies: Empirical Evidence In Four European Countriesarticle · 7 shared references 2002The anomalies that aren't there: the weekend, January and pre-holiday effects on the all gold index on the Johannesburg Stock Exchange 1987-1997article · 7 shared references

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Year2013

Typearticle

Published2013-12-13

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations153

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1016/j.eswa.2013.12.009

openalex_workW2113822305

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2018Examination of the profitability of technical analysis based on moving average strategies in BRICS

2020Predicting next day direction of stock price movement using machine learning methods with persistent homology: Evidence from Kuala Lumpur Stock Exchange

2019Computational approaches and data analytics in financial services: A literature review