Using Neural Networks to Analyze Intermarket Relationships

Abstract

Most traders instinctively know that what happens in one market influences prices in other markets. The challenge in intermarket analysis is quantifying these relationships. Enter neural networks, which can sift through price data and chart patterns to find which markets most influence a target market and the degree to which this influence affects price action in a constantly shifting environment.

TOPICS: Exchanges/markets/clearinghouses, big data/machine learning