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Fast Backtester Genetic Builder has its own very fast backtester that can test the performance of a strategy on a histrical data in a matter of miliseconds to seconds (depending on the length of the input price data file).
Export to MetaTrader Expert Advisor or pseudo code * The generated strategies can be exported to a MetaTrader Expert Advisor source code, ready to be run in the MetaTrader. There are no hidden or protected parts, it contains fully readable source code.
As additional option, the trading strategy rules can be exported to a pseudo code - human readable description of trading rules, which allow you to trade the strategy manually, or implement it in the language of your choice. * the strategies will work in virtually any trading software, not only in MetaTrader. We will be adding export functionality for other languages (for example for TradeStation, NinjaTrader, etc.) in the future.
In Sample and Out of Sample Testing With Genetic Builder you have the ability to divide the history data to In Sample and Out of Sample parts. The program can evolve the strategies on a given portion of data (in sample) - each resulting strategy is essentialy a hypothesis whose performance is confirmed or rejected by test on the rest of the data set (out of sample).
Supported Data and Timeframes Genetic Builder can work with virtually any data (forex, stocks, ETFs, Metals). It was developed to be compatible with MetaTrader as much as possible and it supports the same timeframes that are available in MetaTrader: M1, M5, M15, M30, H1, H4, D1 The Data Manager import function currently supports import of 1 Minute data in MetaTrader format, you can thus easily import the history data from your MetaTrader into Genetic Builder. The program doesn't support import of tick data yet * (as they are not supported in MetaTrader backtester either). * support for tick data and other timeframes is planned in the future versions.
Databank & Strategy results Databank is a storage of generated strategies. You can configure it to keep the 20, 100 or 500 best strategies that will emerge during the random generation or during genetic evolution. Results of the strategy tests are clearly visible including the Profit/Loss chart, list of trades and result overview.
Three Modes of Operation Genetic Evolution the full mode. Genetic Builder first generates initial population of random candidates and them uses genetic evolution process to evolve the population and to produce better and better candidates with each generation. The process ends when predefined number of generations is reached or when there's no further improvement. Random Generation in this mode GB continually generates and tests new random strategies, without using genetic evolution. The best candidates (based on predefined criteria) are stored into Databank so you can review them later. Strategy Testing additional mode that allows to test already generated strategies on different data and timeframes.