Technical indicators under pressure: Performance and limitations in the face of market shocks

This article examines the impact of geopolitical events on the reliability of technical indicators used in trend-following strategies. Using a database composed of daily series of several financial assets covering the period from January 2019 to November 2020, the study compares the behavior of indicators such as MMS_50, MME_20, RSI_14, MACD, and Stochastic %K between stable market conditions and periods of crisis, particularly those related to the Covid-19 pandemic. The analysis, performed in Python, reveals a marked deterioration in signal quality during periods of crisis: moving averages become less responsive, MACD loses consistency, and oscillators such as RSI are overused, which can generate false signals. Internal correlations between indicators are also altered, suggesting a break in the usual technical dynamics. A simple regression confirms the significant effect of preference on the trend, as measured by the MMS_50.

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Publication Details

Journal
RMd Economics Management & Social Sciences
Published
2025-01-01
DOI
https://doi.org/10.23882/emss25207
Primary Topic
Economic Growth and Productivity
Type
article
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article

Technical indicators under pressure: Performance and limitations in the face of market shocks

Rania LOUBARIS
RMd Economics Management & Social Sciences
Economic Growth and Productivity
article

Technical indicators under pressure: Performance and limitations in the face of market shocks

Rania LOUBARIS
article en

Abstract

This article examines the impact of geopolitical events on the reliability of technical indicators used in trend-following strategies. Using a database composed of daily series of several financial assets covering the period from January 2019 to November 2020, the study compares the behavior of indicators such as MMS_50, MME_20, RSI_14, MACD, and Stochastic %K between stable market conditions and periods of crisis, particularly those related to the Covid-19 pandemic. The analysis, performed in Python, reveals a marked deterioration in signal quality during periods of crisis: moving averages become less responsive, MACD loses consistency, and oscillators such as RSI are overused, which can generate false signals. Internal correlations between indicators are also altered, suggesting a break in the usual technical dynamics. A simple regression confirms the significant effect of preference on the trend, as measured by the MMS_50.

RMd Economics Management & Social SciencesVol. 2(2)
Institut de recherches économiques et sociales (FR)
Openalex Percentile: Top 70%
Economic Growth and Productivity
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