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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 = {Caulk, Robert A. and Törnquist, Elin and Voppichler, Matthias and Lawless, Andrew R. and McMullan, Ryan and Santos, Wagner Costa and Pogue, Timothy C. and van der Vlugt, Johan and Gehring, Stefan P. and Schmidt, Pascal},
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
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