An Empirical Research of Futures Program Trading Based on RSI And CCI Indicators

Li Aiquan, Pan Hui, Weishi Shu, Ke Qi
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Abstract

Over the years, many scholars have conducted a wealth of empirical research on the effectiveness of technical indicator analysis in the financial market, and the conclusions are obviously different. Among them, two program trading models based on RSI and CCI indicators achieve an annual return rate of more than 180% in the empirical research of palm oil futures program trading, but the amount of data used in this study is too small, and the transaction cost is not considered. As the actual trading process has the characteristics that investors pay more attention to the sustainability of the model's profitability, and that investors’ trading varieties are diverse and with high transaction cost, this paper further verifies the sustainability and general applicability of these two models: using the closing price of 1-day and 30-minute K-line of 18 kinds of commodity futures in recent 10 years to investigate the changes of annual return rate, maximum withdrawal ratio etc. under different transaction costs and K-line cycles. The results show that the model’s profitability is time-varying, and the transaction cost has a greater influence on the rate of return of 30-minute K-lines than that of 1-day K-lines.
基于RSI和CCI指标的期货程序交易实证研究
多年来,许多学者对技术指标分析在金融市场中的有效性进行了丰富的实证研究,得出的结论明显不同。其中,基于RSI和CCI指标的两种程序化交易模型在棕榈油期货程序化交易的实证研究中实现了180%以上的年收益率,但本研究使用的数据量太少,且未考虑交易成本。由于实际交易过程中投资者更注重模型盈利能力的可持续性,以及投资者交易品种多样、交易成本高的特点,本文进一步验证了这两种模型的可持续性和普遍适用性:利用近10年18种商品期货的1日收盘价和30分钟k线,考察不同交易成本和k线周期下的年收益率、最大提现率等的变化。结果表明,模型的盈利能力是时变的,交易成本对30分钟k线收益率的影响大于1天k线收益率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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