Investigating the profit performance of quantitative timing trading strategies in the Shanghai copper futures market, 2020–2022

Author:

Tian Hongyu1,Wang Wei2,Yang Mengxin3ORCID,Yilmaz Ali4

Affiliation:

1. Beijing Normal University—Hong Kong Baptist University United International College Zhuhai City China

2. UQ Business School University of Queensland Queensland Australia

3. HKU Business School, The University of Hong Kong Hong Kong China

4. School of Business and Law Central Queensland University Queensland Australia

Abstract

AbstractIn conducting an extensive examination, we scrutinize the efficacy of algorithmic trading strategies applied to Futures CopperMainContinuous in the Shanghai Futures Exchange, utilizing a comprehensive data set spanning from January 2020 to December 2022. To mitigate the potential risk of data‐snooping bias—the probability that any favorable results may inadvertently arise from random events rather than the inherent value of the strategies employed to generate these results—our study prudently conducts a reality check and advanced assessments. Throughout the evaluated period, the benchmark demarcation between the in‐sample and out‐of‐sample stages is established in February 2022. Regrettably, our meticulous exploration fails to identify any successful or advantageous algorithmic trading strategies within these categories, particularly following the systematic elimination of data snooping bias. These results underscore the intrinsic challenges in accurately identifying and implementing profit‐generating algorithmic trading strategies within the volatile and intricate futures market.

Publisher

Wiley

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