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Aaron Trading constructs and rigorously tests its managed forex trading models utilizing out-of-sample walk forward financial engineering principles utilizing back-adjusted continuous data. These techniques are utilized to avoid the fatal dangers of curve fitting and over optimization. Typically, curve fitting and general over optimization are responsible for the majority of failed managed forex trading models. Additionally, we apply other statistical measures in an attempt to design very stable and robust managed forex programs.
Aaron Trading applies these techniques at the core foundation of its managed forex trading model engineering because:
If given a large quantity of curve fitting and optimization an individual can apply almost any trading strategy or model to a given forex market and force it to be profitable. However, exploiting this approach, will usually create a managed forex trading model that trades the past well, but is subject to a heighten chance of failure in the future.
The out-of-sample walk forward approach represents a more “real world” simulation of the way a managed forex model is applied in actual trading. Furthermore, this approach also answers the following crucial questions:
- What impact will changes in trend and volatility levy on future performance?
- Is a trading model isolating random forex market events or something that has statistical merit?
- Will a managed forex trading system continue to generate profits post-optimization?
Answering the above questions provides the following benefits:
- It offers a more in-depth and vital assessment of the rate of post-optimization profitability and risk. Walk forward out-of sample approaches to managed forex system construction produce a statistical profile of multiple in sample and out-of-sample optimizations periods. Furthermore, because it is based on a significantly larger sample, as opposed to testing a single period of data, it demonstrates considerably greater statistical validity. Additionally, it also allows a precise comparison of measurements of profitability between rates of out-of-sample vs. in-sample trading.
- It detects if a managed forex model has been curve fitted or over optimized. A system that demonstrates profitably over a large number of walk-forward tests is most likely to be successful within future applications because of its greater statistical validity.
- It verifies the forward-trading ability of a trading system, i.e. how versatile is the managed forex model to market fluctuations and volatility.
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