Take Profit and Stop Loss Trading Strategies Comparison in Combination with an MACD Trading System

A lot of strategies for Take Profit and Stop Loss functionalities have been propounded and scrutinized over the years. In this paper, we examine various strategies added to a simple MACD automated trading system and used on selected assets from Forex, Metals, Energy, and Cryptocurrencies categories and afterwards, we compare and contrast their results. We conclude that Take Profit strategies based on faster take profit signals on MACD are not better than a simple MACD strategy and of the different Stop Loss strategies based on ATR, the sliding and variable ATR window has the best results for a period of 12 and a multiplier of 6. For the first time, to the best of our knowledge, we implement a combination of an adaptive MACD Expert Advisor that uses back-tested optimized parameters per asset with price levels defined by the ATR indicator, used to set limits for Stop Loss.

[1]  Joachim Klement,et al.  Assessing Stop-Loss and Re-Entry Strategies , 2013, The Journal of Trading.

[2]  Clifford S. Ang.  High-Frequency Trading and Price Discovery , 2015 .

[3]  C. Osler,et al.  Stop-Loss Orders and Price Cascades in Currency Markets , 2002 .

[4]  A. Lo,et al.  When Do Stop-Loss Rules Stop Losses? , 2014 .

[5]  Stephen Thomas,et al.  Breaking into the blackbox: Trend following, stop losses and the frequency of trading – The case of the S&P500 , 2013 .

[6]  J. Wilder.  New Concepts in Technical Trading Systems , 1978 .

[7]  Hujun Yin,et al.  Exchange rate prediction using hybrid neural networks and trading indicators , 2009, Neurocomputing.

[8]  Wei Ding,et al.  Implementing a Simple Rule for DynamicStop-Loss Strategies , 2012, The Journal of Investing.

[9]  Xin Li,et al.  Optimal Mean Reversion Trading with Transaction Costs and Stop-Loss Exit , 2014, 1411.5062.

[10]  Brad M. Barber,et al.  Just How Much Do Individual Investors Lose By Trading? , 2007 .

[11]  Damien Challet,et al.  Do Google Trend Data Contain More Predictability than Price Returns? , 2014 .

[12]  Bruno Biais,et al.  Equilibrium High Frequency Trading , 2011 .

[13]  H. Stanley,et al.  Quantifying Trading Behavior in Financial Markets Using Google Trends , 2013, Scientific Reports.

[14]  Michael A. H. Dempster,et al.  Evolutionary reinforcement learning in FX order book and order flow analysis , 2003, 2003 IEEE International Conference on Computational Intelligence for Financial Engineering, 2003. Proceedings..

[15]  James Cornford,et al.  Customer focus in UK e-government: Or, putting the politics back into e-government , 2007 .

[16]  Gerald Appel,et al.  Technical Analysis: Power Tools for Active Investors , 2005 .

[17]  Terence Tai-Leung Chong,et al.  Technical analysis and the London stock exchange: testing the MACD and RSI rules using the FT30 , 2008 .

[18]  Oliver Chan,et al.  A Framework for Stop-Loss Analysis on Trading Strategies , 2014, The Journal of Trading.

[19]  A. Y. Lei,et al.  The Value of Stop Loss Strategies , 2009 .

[20]  P. Jain,et al.  Financial Market Design and Equity Premium: Electronic Versus Floor Trading , 2004 .

[21]  Orlando Belo,et al.  Multi-Agent Forex Trading System , 2010, Agent and Multi-agent Technology for Internet and Enterprise Systems.

[22]  Guofu Zhou,et al.  Taming Momentum Crashes: A Simple Stop-Loss Strategy , 2016 .

[23]  Clara Vega,et al.  Rise of the Machines : Algorithmic Trading in the Foreign Exchange Market , 2009 .

[24]  Francisco Guijarro,et al.  Stock market trading rule based on pattern recognition and technical analysis: Forecasting the DJIA index with intraday data , 2015, Expert Syst. Appl..

[25]  Charles M. Jones,et al.  Does Algorithmic Trading Improve Liquidity? , 2010 .

[26]  Antonia Azzini,et al.  Evolving neural networks for static single-position automated trading , 2008 .

[27]  Serhat Guven,et al.  Dynamic Pairs Trading Strategy for the Companies Listed in the Istanbul Stock Exchange , 2009 .

[28]  Stacy Williams,et al.  Adaptive systems for foreign exchange trading , 2004 .

[29]  Ilan Vertinsky,et al.  Mood in foreign exchange trading: Cognitive processes and performance , 2003 .

[30]  Sheridan Titman,et al.  Individual Investor Sentiment and Stock Returns , 2004 .

[31]  Maureen O'Hara,et al.  The Microstructure of the “Flash Crash”: Flow Toxicity, Liquidity Crashes, and the Probability of Informed Trading , 2011, The Journal of Portfolio Management.

[32]  Antonia Azzini,et al.  Evolutionary Single-Position Automated Trading , 2008, EvoWorkshops.