Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Forecasting non-stationary financial time series through genetic
  algorithm   We utilize a recently developed genetic algorithm, in conjunction with
discrete wavelets, for carrying out successful forecasts of the trend in
financial time series, that includes the NASDAQ composite index. Discrete
wavelets isolate the local, small scale variations in these non-stationary time
series, after which the genetic algorithm's predictions are found to be quite
accurate. The power law behavior in Fourier domain reveals an underlying
self-affine dynamical behavior, well captured by the algorithm, in the form of
an analytic equation. Remarkably, the same equation captures the trend of the
Bombay stock exchange composite index quite well.

27
The categories of this paper are: comp-gas
29
The categories of this paper are: funct-an
28
The categories of this paper are: alg-geom
7
The categories of this paper are: hep-th
12
The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
16
The categories of this paper are: stat
23
The categories of this paper are: solv-int
1
The categories of this paper are: cs
32
The categories of this paper are: atom-ph
15
The categories of this paper are: nucl-ex
21
The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
36
The categories of this paper are: cmp-lg
11
The categories of this paper are: hep-lat