The next part is an extrapolation from the very little they have indicated. I suspect they are doing the following:
- Generate initial strategies using a random genetic program that selects inputs from a subset of available technical, sentiment, and momentum indicators.
- Calibrate to best possible trading signal (given inputs) using a ANN (neural net)
- Evaluate utility function across some years of historical data
- Based on results, refine by breeding the strategies with a GA
- Rinse and Repeat
The approach can be expanded to incorporate more sophisticated models as inputs (such as basis function based signal decomposition, stochastic state systems, etc).
1 comment:
very cool
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