
What methods can you use to compare current market data with your statistics to make your next trading decision?
How will your system compare current market situation with the statistical data? You have some data that is associated with the rising market, some - with the falling market, and the rest of your statistics is associated with the sideways market. Will you record raw quotes, indicators values, or some custom calculations? What indicators or calculation methods to use? What else should be recorded? What kind of information will get into the statistics data? This is probably the most important question if you want to create your own statistical expert advisor. What period of time to use for statistics gathering? Common sense suggests that the longer is the period, the better will be the gathered statistics, but in fact, there could be some problems if the system collects the information from the periods that, due to some reasons, are unrelated to the current market's mechanics. If you want to build such trading system, you need to answer the following five questions first: Designing a statistical Forex system is a complex problem that involves market analysis, rules development, and real-time evaluator building. #FOREX EXPERT ADVISOR GENERATOR 1.06 UPDATE#
Statistics is collected into a special file in a format that is recognized by the system optionally, the system may update these statistics. Plain optimization of input parameters during some period isn't the same as collecting statistical information, thus not every optimized system or expert advisor is a statistical EA. Introduction into statistical Forex systemsĪ statistical Forex system is a system that relies on the information which was previously collected from the market and the amount of this information is proportional to the period of time, on which the market is analyzed. Please note that it is best to avoid using it in live account trading without a thorough modification, optimization, and testing. The expert advisors presented here are based on an EA developed by us for participation in trading contests. The ideas and examples presented here can be a foundation for your own self-learning statistical EAs in Forex. Even though building a self-learning EA appears to be a tough process, it isn't an overly complex task, especially, when you have some examples. Most expert advisors you will find do not collect statistical information to compare it later with the current market situation.
Further development of a self-learning EAĪn idea to build an expert advisor based on some self-learning system isn't new but is rarely used in retail Forex trading. Example of a statistical expert advisor. Introduction into statistical Forex systems.