[R] [R-pkgs] PortfolioEffectHFT - High Frequency Portfolio Analytics

[Alexey Zemnitskiy]

Dear R enthusiasts,

I would like to announce PortfolioEffectHFT package availability on CRAN:
https://cran.r-project.org/web/packages/PortfolioEffectHFT/

It is an R interface to PortfolioEffect Quant service for backtesting high
frequency trading (HFT)  strategies, intraday portfolio analysis and
optimization. PortfolioEffect is a cloud-based service, which is free to
use with your own market data, but also has an integrated (optional) access
to high frequency prices for all major US Equities (8,000+ symbols).

Package features:

- Auto-calibrating model pipeline for market microstructure noise, risk
factors, price jumps/outliers, tail risk (high-order moments), price
fractality (long memory) and was designed to give tick-resolution
analytics.

- Over 40+ portfolio and position-level metrics to compute intraday risk
and performance from modern and post-modern portfolio theory.

- Single-period constraint portfolio optimization (classic Markowitz and
extensions for tail risk) with scalar, vector-based and user-defined
functional constraints.

- Multi-period constraint portfolio optimization that accounts for previous
portfolio rebalancing (trading strategy optimization).

- Transactional costs were also implemented in this release.

More details in the package manual:
https://cran.r-project.org/web/packages/PortfolioEffectHFT/vignettes/PortfolioEffectHFT.pdf

Or on the website (nightly builds and latest updates):
https://www.portfolioeffect.com/docs/platform/quant/


Sincerely,

Aleksey Zemnitskiy

	[[alternative HTML version deleted]]

_______________________________________________
R-packages mailing list
R-packages at r-project.org
https://stat.ethz.ch/mailman/listinfo/r-packages