PortfolioEffectHFT (1.7)

High Frequency Portfolio Analytics by PortfolioEffect.


R interface to PortfolioEffect cloud service for backtesting high frequency trading (HFT) strategies, intraday portfolio analysis and optimization. Includes auto-calibrating model pipeline for market microstructure noise, risk factors, price jumps/outliers, tail risk (high-order moments) and price fractality (long memory). Constructed portfolios could use client-side market data or access HF intraday price history for all major US Equities. See for more information on the PortfolioEffect high frequency portfolio analytics platform.

Maintainer: Andrey Kostin
Author(s): Andrey Kostin [aut, cre], Aleksey Zemnitskiy [aut], Oleg Nechaev [aut], Craig Otis and others [ctb, cph] (OpenFAST library), Daniel Lemire, Muraoka Taro and others [ctb, cph] (JavaFastPFOR library), Joe Walnes, Jorg Schaible and others [ctb, cph] (XStream library), Dain Sundstrom [ctb, cph] (Snappy library), Extreme! Lab, Indiana University [ctb, cph] (XPP3 library), The Apache Software Foundation [ctb, cph] (Apache Log4j and Commons Lang libraries), Google, Inc. [ctb, cph] (GSON library), Free Software Foundation [ctb, cph] (GNU Trove and GNU Crypto libraries)

License: GPL-3

Uses: ggplot2, rJava, zoo, testthat
Reverse depends: PortfolioEffectEstim

Released over 3 years ago.