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

Li Aiquan(Guangxi University of Finance and Economics)
Pan Hui(Guangxi University of Finance and Economics)
Shu Weishi(Nanning Business Department of Guangxi Zhongliang Futures Company)
Ke Qi(Guangxi University of Finance and Economics)

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.

Keywords

Program trading; RSI index; CCI index; Transaction cost

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References

Wagner W H, Edwards M. Best execution[J]. Financial Analysts Journal, 1993, 49:65-71.

Allam Z S, Thatch I. Slice Order in TASE: Strategy to hide?[R]. Working Paper, Georgia State University, 2007.

Park C., Irwin Shwetha do we known about the Profitability of technical Analysis?[J]. Journal of Economic Surveys, 2007(21):786-826.

Beetge F, Minkoff L, Equity premium Prediction: Are economic and technical Indicators unstable?[J]. Quantitative Finance, 2016,32(4):1193-1207

Lin Jibe, Gong Zheng. A comparative study of futures procedural trading strategy models - Taking palm oil futures trading as an example[J]. Journal of Zhong nan University of finance, politics and law. April 2018:128-134.

Chong,T.T.L., and Ng W.K.. Technical Analysis and the London Stock Exchange:Testing the MACD and RSI rules using the FT30[J].Applied Economics Letters, 2008 15(14):1111-1114.

Mingyuan Wu,Xiaotian Diao. Technical Analysis of three Stock Oscillators testing MACD.RSI and KDJ rules in SH&SZ stock markets.2015 4th international Conference on 2015.12.

Kim.K.-j. Financial Time Series Forecasting using Support Vector Machines[J]. Neurocomputing, 2003,55:307-319.

M.A.H Dempster and V. Leemans, An Automated FX Trading System Using Adaptive Reinforcement Learning, Expert Systems with Applications, vol 20, pp.543-552, 2006.

J.Zhang and D.Maringer, Indicator Selection for Daily Equity Trading with Recurrent Reinforcement Learning Trading, in GECCO 2013, pp.1757-1758, 2013

J.Zhang and D.Maringer, Using a Genetic Algorithm to Improve Recurrent Reinforcement Learning for Equity Trading, Computational Economics, pp.1-17, 2015.



DOI: http://dx.doi.org/10.26549/jfr.v4i1.2993

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