Using ChaosHunter's Evolution Technology to Construct Neural Network Models

ChaosHunter can construct neural network formulas as well as standard mathematical formulas. Like the others, these formulas are completely open for inspection and transfer to other platforms.

Those of you who have previous experience with neural networks will appreciate the technological advances that ChaosHunter has made in this area. Network structures are completely controlled by evolution (genetic programming) to include:

1. Variables chosen from a pool
2. Inputs can be variables or math formulas containing variables, constants and time series indicators
3. Weights can be variables, constants, time series indicators, or formulas of those
4. Hidden neurons and connections controlled by evolution
5. Maximum size of the structure can be limited, but the algorithm promotes smaller, more compact structures
6. The complete formula for the nets is shown and can be transferred to Excel or computer programs
7. Evolution uses distributed processing across multiple cores and multiple computers
8. Nets are recurrent in that they can contain chaotic feedback from previous outputs
9. Time series indicators can be input as variables or evolved internally

In case your neural net building is for market trading and/or price time series:

10. Time series indicators included double as technical indicators
11. Evolution goal (fitness) can be profit instead of minimization of error
12. Instead of predictions of a target, the output of the net can be just buy/sell signals with evolved thresholds
13. The complete formulas for the nets can be transferred to popular trading platforms
14. ChaosHunter accepts almost any kind of bars as price data (minute, volume, tick, range, etc.)

In addition to the features above, neural networks can contain boolean and relational functions such as AND, OR, >, <, and IF-THEN if you desire to include them.

// Important Information and Disclaimers

Financial trading comes with substantial risk of loss, including possible loss of principal and other losses, even when using computerized trading methods, formulas, and systems. Success of a formula or trading method in the past does not guarantee or even imply success in the future. The use of any trading system or strategy does not and cannot guarantee that you will make profits, increase profits or minimize losses. Additionally, trading results based upon hypothetical or historically-tested trading systems do not necessarily compare to results of actual trading. No hypothetical or historical trading record can completely account for the level of risk present in actual trading. There is no guarantee that your hypothetical trading results, even if tested against historical data, will produce comparable actual trading results. In fact, there are frequently sharp differences between hypothetical or historically-tested performance results and the actual results subsequently achieved by any particular trading system or strategy. You agree that you understand the risks.

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