Software repository
Paper review
Download paper
Software archive
Review
Editor: @Fei-Tao (all papers)
Reviewers: @ady00 (all reviews), @shagunsodhani (all reviews)
Authors
Robert A. Caulk (0000-0001-5618-8629), Elin Törnquist (0000-0003-3289-8604), Matthias Voppichler, Andrew R. Lawless, Ryan McMullan, Wagner Costa Santos, Timothy C. Pogue, Johan van der Vlugt, Stefan P. Gehring, Pascal Schmidt (0000-0001-9328-4345)
Citation
Caulk et al., (2022). FreqAI: generalizing adaptive modeling for chaotic time-series market forecasts. Journal of Open Source Software, 7(80), 4864, https://doi.org/10.21105/joss.04864
@article{Caulk2022,
doi = {10.21105/joss.04864},
url = {https://doi.org/10.21105/joss.04864},
year = {2022},
publisher = {The Open Journal},
volume = {7},
number = {80},
pages = {4864},
author = {Robert A. Caulk and Elin Törnquist and Matthias Voppichler and Andrew R. Lawless and Ryan McMullan and Wagner Costa Santos and Timothy C. Pogue and Johan van der Vlugt and Stefan P. Gehring and Pascal Schmidt},
title = {FreqAI: generalizing adaptive modeling for chaotic time-series market forecasts},
journal = {Journal of Open Source Software}
}
Tags
Machine Learning adaptive modeling chaotic systems time-series forecasting
Altmetrics
Markdown badge
License
Authors of JOSS papers retain copyright.
This work is licensed under a Creative Commons Attribution 4.0 International License.
