Forex Trading Using Intermarket Analysis


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Forex Trading Using Intermarket Analysis - Forex Strategies ( PDFDrive )

Using neUral 
neTWorks To 
analyZe Forex


t r a d e s e c r e t s
64
Neural nets were used in corporate decision-making, medical diagnos-
tics, and many other applications before I began using them in finan-
cial forecasting in the late 1980s. Fortunately, traders using a program 
such as VantagePoint do not have to get under the hood and know 
exactly how neural networks function. Instead, they can concentrate on 
trading because expert developers have done extensive experimenta-
tion to develop the best trading model. However, to have confidence in 
a neural network trading model, it is worthwhile to have at least some 
understanding of neural networks and their training process.
inPUT layer
A critical first step in neural-network analysis is data input. The fore-
casts from a neural network are only as good as the data put into it. 
Collecting, cleaning, selecting, and preparing the data for analysis are 
all important. Neural networks are not limited to single-market data 
source: Market technologies, LLc (www.Markettechnologies.com)
neural networks Continuously try to find hidden patterns. like the 
human brain, neural networks “learn” by sifting through data over 
and over again to find patterns.
F
igure
6.1.


65
ForeX trading using interMarket anaLysis
inputs nor are they limited solely to technical data inputs. The data 
goes far beyond just price or technical indicators, including volume 
and open interest for the target market, intermarket data from related 
markets, and even fundamental data.
With VantagePoint, for example, the raw data inputs involved in 
forecasting moving averages for euro forex futures include the daily 
open, high, low, close, volume and open interest for euro forex, plus 
the daily open, high, low, close, volume and open interest data for 
nine related markets.
Each VantagePoint program is designed specifically for a particular 
target market and uses five neural networks, in a two-level hierarchy, 
to forecast five different indicators for that market (Figure 6.2). 
source: Market technologies, LLc (www.Markettechnologies.com)

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