Hlaiman Business proposal.
Recently considerable growth of quantity of traders which prefer to trade in the markets in an automatic mode, by means of trading robots is observed. The market of automatic trading systems actively develops. The majority of them show high profit at testing for the historical data, but after some time of successful operation in real time, as a rule, admit procorfs. On change to out-of-date strategies – the new come. For periodic adjustment and-or upgrade of trading robots, to the trader to have to gain skills in programming or to use indirect experts.
If the trader does not possess sufficient knowledge in the field of programming and mathematics that qualitative implementation of its unique, trading strategy becomes inconvenient. Thus among the specialized software, the tools providing possibility of creation complex, adaptive in relation to the market, automatic strategies are insufficiently presented, and those from them which allow it, as a rule, are unavailable to a wide range of traders, because of high cost and so considerable complexity and demand durable period of mastering.
One of the most perspective directions of the adaptive analysis – are systems using neural technologies. Now they are successfully used, and continue to develop (Forecast Expert, STATISTICA Neural Networks, NeuroSolution, etc.). Similar systems allow to receive authentic forecasts in the field of production, marketing and the finance. As a rule, much in results of forecasting depends on correct data origination, a choice of intervals of the analysis, model customization, etc. In most cases an effective utilization and service of such systems well only to professionals in appropriate sphere.
There are so systems using neural technologies developed specially for the analysis of the market Forex (Neuroshell Trader, Safir XP, etc.). Operation with them is accessible even to the users who are not professionals in the field of neural technologies. As a rule, such systems possess a wide tooling of the technical analysis, and allow to optimize usage of these tools with the help neural networks. Despite wide functionality, support of various trading platforms (for example Safir XP and Neuroshell Trader in standard delivery – allow to co-operate in real time only with Omega TradeStation) is in most cases insufficiently realized. If there is the necessary of interactions of systems with other trading platforms, in most cases, the trader is forced to spend preformatting of the data (sometimes, such possibility is absent). There are alternative solutions, but as a rule, they do not provide sufficient speed and reliability of data exchange.
In spite of the fact that in the given direction developments, for systems using neural technologies are carried on program interaction on the basis of modern technologies (such as COM/DCOM Microsoft, CORBA Sun, Oracle, IBM etc., in most cases, is not realised.).
Proceeding from factors stated above we suggest to create system for automatic generation of strategies Forex on the basis of neural technologies. The system should consider disadvantages of existing systems, and to have a number of new possibilities.
It is supposed that the system is oriented to a wide range of consumers (traders), cost should not exceed cost of similar products and should be oriented to business lot sales. The system should represent the independent software product possessing maximum functionality of clones presented in the market, during too time considering their disadvantages. The program component model of system should assume ample opportunities for program interaction and the stage-by-stage extension of functionality (a scaled set of units). The User interface should assume maximum automation at all stages of operation and use the object-oriented environment (RAD, CASE, VISIO). Link of system with various trading platforms and the data sources (MetaTrader, Dukascopy, MBT Trader, Ninja Trader, TradeStation etc. Is supposed.) Presence of possibility of data processing of widespread formats (*.html reports on trade of traders or automatic strategies, data SuperCharts, Wall Street Analyst etc.). A wide arsenal of viewers, the analysis and data processing, creation and testing of multiple currency automatic strategies.
At the given development cycle there is the component model of system including system components (3d graphicts, cloud computing, encryption, interpreters etc), neural components (backpropagation neural network, random decision forests, genetic algorithms, progress p-net, etc), platform components (MT4, MT5, python, R etc). There is a ready to use serial application Hlaiman EA Generator.
We will be glad to cooperate. Best regards Hlaiman team.