The authors name George Taylor's The Taylor Trading Technique, as well as Steve Moore's works on the computer analysis of futures markets and Derek Gipson's trading experience as theoretical basis for their own work. A few EA tests based on the up-to-date history data are presented at the end of the article. Yet another objective of the article is to develop tools allowing us to check if the strategy is still viable today, since Raschke and Connors used the market behavior at the end of the last century when creating it. Instead, it will fully implement structures that are easier to master. Therefore, besides its main objective, the code is designed to help move from the procedural programming to the object-oriented one. Besides, we are going to use the very same module for the development of an indicator for manual trading.Īs already said, the code provided in the article series is aimed mainly at slightly advanced novice programmers. Then, we are going to connect this module to the slightly edited version of the basic trading robot developed in the previous article of the series. The first objective of the article is to describe the development of the '80-20' trading strategy signal module using MQL5 language. The lifetime of an obtained signal is also relatively short, since the system is meant for intraday trading. But this time, we analyze the price movement on a significantly shorter history interval involving the previous day only. It is also focused on profiting from false breakouts and roll-backs from the borders. Similar to the strategies discussed in my previous article, the authors attribute it to the stage when the price tests the range borders. '80-20' is a name of one of the trading strategies (TS) described in the book Street Smarts: High Probability Short-Term Trading Strategies by Linda Raschke and Laurence Connors.
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