Backtesting with Quantstrat
Harry Georgakopoulos
Chapter 7 in Quantitative Trading with R, 2015, pp 147-175 from Palgrave Macmillan
Abstract:
Abstract Backtesting is one of those activities in quantitative finance and trading that takes up a significant amount of time. It refers to the systematic methodology of testing out a particular hypothesis about market dynamics on a subset of historical data. It is akin to the scientific method in that it attempts to reconcile hypotheses with empirical observations. The end goal is to form predictions that result in profitable outcomes. The implicit assumption in all of this is that the historical patterns will, with high probability, manifest again in the future. The ultimate goal is to be ready to capitalize on those patterns when they are again detected
Keywords: Trading Strategy; Sharpe Ratio; Risk Metrics; Cumulative Return; Trade Size (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pal:palchp:978-1-137-43747-1_7
Ordering information: This item can be ordered from
http://www.palgrave.com/9781137437471
DOI: 10.1057/9781137437471_7
Access Statistics for this chapter
More chapters in Palgrave Macmillan Books from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().