A B-P ANN Commodity Trader
Abstract
An Artificial Neural Network recognize a buy/sell particular commodity Propagation of errors algorithm was used to encode the the Long/Short desired output and 18 fundamental variables plus 6 (or 18) Trained on one technical variables into year of past data to predict long/short market positions in the future that would have made $10,301 profit on an investment of less than $1000. relationship between
Cite
Text
Collard. "A B-P ANN Commodity Trader." Neural Information Processing Systems, 1990.Markdown
[Collard. "A B-P ANN Commodity Trader." Neural Information Processing Systems, 1990.](https://mlanthology.org/neurips/1990/collard1990neurips-bp/)BibTeX
@inproceedings{collard1990neurips-bp,
title = {{A B-P ANN Commodity Trader}},
author = {Collard, Joseph E.},
booktitle = {Neural Information Processing Systems},
year = {1990},
pages = {551-556},
url = {https://mlanthology.org/neurips/1990/collard1990neurips-bp/}
}