.: Adaptive Modeler 0.96
Adaptive Modeler offers an alternative approach to trading software. While most conventional trading software aims to optimize a static trading strategy by back-testing on historic data, Adaptive Modeler creates a financial market simulation model that runs parallel to the real market and consists of thousands of individual agents. Agents trade on this virtual market according to technical trading rules that evolve through Genetic Programming. The evolution of trading rules combined with market pricing dynamics drives the agent population to recognize and anticipate recurring price patterns while constantly adapting to market changes. The collective behavior of the virtual market is the basis for trading signals.
Adaptive Modeler can be used for stocks, ETFs or other market traded securities.
Advantages:
- no curve fitting / overfitting of historic (training) data
- trading signals are based on multitude of trading strategies instead of only one or a few
- trading strategies are constantly adapting to market changes instead of being static
- puts user in charge of high level model evolution control instead of low level rule programming
Features:
- easy to use drag-and-drop user interface
- live charts to visualize model evolution, behavior and performance
- reads MetaStock ASCII, Yahoo CSV and other quote formats
- supports custom quote intervals (intraday, daily, etc.)
- Trading Simulator
- risk management functions (Historical/Monte Carlo simulations)
- includes samples and User's Guide
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Size |
3.70 MB |
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License |
Shareware |
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Price |
0 USD |
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Category |
Business & Finance / Others |
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Operating System |
WinNT 4.x,Windows2000,WinXP,Windows2003 |
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Developer |
Altreva |
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Program system requirements: Microsoft .Net Framework 1.1, 512 MB Ram New in this version: saving and loading of configurations, improved quote retrieval, bug fixes |
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Screenshot:
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Download NowFile size 3.70 MB 
Buy Now |
| trading,
financial market,
market,
simulation,
model,
agent-based,
stocks,
trading strategy,
strategy,
rule,
evolution,
genetic programming,
patterns,
forecasting,
predictive modeling,
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