The Altreva Adaptive Modeler is a popular software framework for developing agent-based modeling models of the financial market for the purpose of predicting the values of stocks trading in the real world market or other securities. In order to simulate financial markets, Altreva's Adaptive Modeler and other agent-based models are used to capture the complex complexities of a wide number of investors and traders with varying policies, different trading time periods, and different investment objectives. It is a useful application for the development of agent-based market simulation models for real-world market-traded instruments such as stocks, ETFs, currency pairs, cryptocurrencies, commodities, and other pricing forecasts.
Features of Altreva Adaptive Modeler
- Exportation of data
- Batch work and automation of command lines
- Includes User's Guide, Tutorial, Help with meaning and examples
- Professional dealers, buyers, and analysts used and supported
- Relevant for day trading, swing trading and other techniques
- Quick to use user interface for drag-and-drop.
- In order to visualize model evolution, actions and results, real-time charts and graphs.
- Help for up to 100 variables of custom feedback
- User-configurable genetic programming engine for trading rule formation.
- Help quote intervals from 1 millisecond to several days, or constant range bar or high-frequency tick data vector.
The program requires clients to select the information to be shown in the application, such as the graphs associated with the protection selected, the model depends on the operator or the exchange structure. Customers are given the option of setting diagrams on the progress of the virtual market to display statistics on changes occurring during various timeframes. For the selected duration, the product will show subtleties on population increase, as well as diagrams on the execution of the trade test method. The perspective on advertising depth can also be altered by customers. Customers can see the market's progress bit by bit, or they can let the software advance the model at its own rate.
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