Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach.

•We converted 1-D financial technical analysis data to 2-D images for classification.•We used 2-D deep convolutional neural network for trend forecasting.•We propose a robust algorithmic trading model that works in any market condition.•To best of our knowledge, 2-D CNN with TA has not been used for financial trading before.•Model outperformed Buy & Hold, RSI, MA, LSTM, MLP over long time periods.