Skip to main content

Pre-optimization Issues

  • Chapter
  • First Online:
Testing and Tuning Market Trading Systems
  • 1179 Accesses

Abstract

In essence, the stationarity of a time series (such as market price changes, indicators, or individual trade returns) refers to the degree to which its statistical properties remain constant over time. Statisticians may cringe at such a loose definition, but that captures the practical meaning of the term. When we use market history to create a (preferably) profitable trading system, we are implicitly counting on the historical patterns that produced backtesting profitability to remain in force for at least the near-term future. If we are not willing to make that assumption, we might as well give up trading system design.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 44.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 59.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Timothy Masters

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Masters, T. (2018). Pre-optimization Issues. In: Testing and Tuning Market Trading Systems. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4173-8_2

Download citation

Publish with us

Policies and ethics