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Adaptive Modeler 1.2.2 Download
Adaptive Modeler 1.2.2
Adaptive Modeler is a tool for creating agent-based market simulation models.
Last Week downloads: 0
Total downloads: 183
- Last Updated: Jul 13, 2009
- License: Freeware Free
- OS: Windows XP/2000/NT
- Requirements: .NET Framework 2.0 or higher
- Publisher: Altreva, Inc (1 more Applications)
User reviews
4 out of 5 based on 3 ratings for Adaptive Modeler 1.2.2
For Adaptive Modeler 1.2.2Publisher's description
An agent-based model is a dynamic system of interacting autonomous Entities. More specifically, an agent-based model of a financial market consists of a population of agents (representing investors with their own assets and trading strategy) and a price discovery mechanism (representing a market).
Key Features：
* easy to use drag-and-drop user interface
* real-time charts and plots to visualize model evolution, behavior and performance
* user configurable genetic programming engine for trading rule creation
* supports quote intervals ranging from 1 millisecond to multiple days or variable for constant range bars or high-Frequency tick data
* Trading Simulator with hedge-fund style performance overview
* various return & risk indicators (ALPHA, beta, Sharpe ratio, VaR, MAR ratio, historical & Monte Carlo simulations, etc.)
Adaptive Modeler version 1.2.2
- Bar Return dataseries for quantitative Analysis of bar-to-bar returns, log returns, absolute returns, etc.
- Autocorrelation indicators to measure autocorrelation of returns, volatility, volume and some other data series.
- Hurst exponent (time series predictability indicator)
- Moving Averages and Autocorrelation indicators can now be shown without their source.
- Several minor improvements and bug fixes (see release notes on forum) you can free download Adaptive Modeler 1.2.2 now.
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For Adaptive Modeler 1.2.2
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Please be aware that Brothersoft do not supply any crack, patches, serial numbers or keygen for Adaptive Modeler,and please consult directly with program authors for any problem with Adaptive Modeler.