< Back to Article

Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data

Fig 16

An example of predicting stock prices using the feature fusion LSTM-CNN model with a test dataset of between 500 and 1,000 data points.

The input data are candlebar chart and stock time series.

doi: https://doi.org/10.1371/journal.pone.0212320.g016