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/}
}