SYSTEM DESIGN
Data Reduction
Daytrading The E-Mini
by Lawrence Chan
See how reducing data can boost your trading system performance.
There are many aspects of trading system
design. Traders often focus on signal generation and money management,
but ignore the most important and fundamental issue of all: the data. I
will show you how to preprocess raw data in such a way that even a simple
trading system will perform with excellent results.
INTRODUCTION
The Standard & Poor's e-mini is the hottest index future traded
at the Chicago Mercantile Exchange (CME). To trade a single S&P e-mini
contract, you need a futures brokerage account and enough money to cover
the margin. It's a very popular instrument among daytraders, since they
can buy and sell this contract as many times as they wish without worrying
about the complex margin requirements of stock daytrading.
The S&P e-mini contract is well known for its wild swings and behavior
that changes over time. Although many traders create mechanical models
to trade the S&P e-mini, it is challenging to produce models that consistently
make profits. One of the biggest difficulties in designing these mechanical
models is that the systems generate far too many false signals, no matter
how you adjust the rules.
I approached this problem from an angle I thought was unique: I improved
the quality of the data, because I firmly believe that preprocessing of
raw data is one of the most overlooked issues in technical analysis. Rather
than painstakingly analyzing every detail of S&P e-mini data, I removed
the noisy data. Once such data is removed from the charts, the indicators
perform better, which in turn leads to better trading system performance.
Figure 1: Effects of data reduction. Skipping the data
from the first and last 15 minutes of trading affects the 10-period simple
moving average.
...Continued in the August 2003 issue of Technical Analysis
of STOCKS & COMMODITIES
Excerpted from an article originally published in the August 2003
issue of Technical Analysis of STOCKS & COMMODITIES magazine. All rights
reserved. © Copyright 2003, Technical Analysis, Inc.
Return to August 2003 Contents
