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Applied Economics Volume 43, 2011 - Issue 14
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Original Articles

Stable classes of technical trading rules

Paolo Falbo Dipartimento Metodi Quantitativi, Università degli Studi di Brescia, Contrada Santa Chiara, 50 - 25122 Brescia, BS, Italy
&
Cristian Pelizzari Dipartimento Metodi Quantitativi, Università degli Studi di Brescia, Contrada Santa Chiara, 50 - 25122 Brescia, BS, ItalyCorrespondence[email protected]
Pages 1769-1785 | Published online: 06 Feb 2009

Citations (7)

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Read on this site (2)

Nicolas Huck & Komivi Afawubo. (2015) Pairs trading and selection methods: is cointegration superior?. Applied Economics 47:6, pages 599-613.
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Achilleas Zapranis & Prodromos E. Tsinaslanidis. (2012) Identifying and evaluating horizontal support and resistance levels: an empirical study on US stock markets. Applied Financial Economics 22:19, pages 1571-1585.
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Articles from other publishers (5)

Luís Lobato Macedo, Pedro Godinho & Maria João Alves. (2016) A Comparative Study of Technical Trading Strategies Using a Genetic Algorithm. Computational Economics 55:1, pages 349-381.
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Julien Hambuckers & Cédric Heuchenne. (2016) Estimating the Out-of-Sample Predictive Ability of Trading Rules: A Robust Bootstrap Approach. Journal of Forecasting 35:4, pages 347-372.
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Prodromos E. Tsinaslanidis & Achilleas D. ZapranisProdromos E. Tsinaslanidis & Achilleas D. Zapranis. 2016. Technical Analysis for Algorithmic Pattern Recognition. Technical Analysis for Algorithmic Pattern Recognition 57 83 .
Prodromos E. Tsinaslanidis & Achilleas D. ZapranisProdromos E. Tsinaslanidis & Achilleas D. Zapranis. 2016. Technical Analysis for Algorithmic Pattern Recognition. Technical Analysis for Algorithmic Pattern Recognition 1 28 .
Hui Zeng, Ben R. Marshall, Nhut H. Nguyen & Nuttawat Visaltanachoti. (2021) Technical Indicators and Cross-Sectional Expected Returns. SSRN Electronic Journal.
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