# Predict Forex Trend via Convolutional Neural Networks

arXiv: https://arxiv.org/abs/1801.03018 · HTML: https://mlsanity.com/paper/1801.03018/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 9 Jan 2018.

## Built on by (most cited first, 2 of 2)

- [EUR-USD Exchange Rate Forecasting Based on Information Fusion with Large Language Models and Deep Learning Methods](https://mlsanity.com/paper/2408.13214/) (2024)
- [EUR/USD Exchange Rate Forecasting incorporating Text Mining Based on Pre-trained Language Models and Deep Learning Methods](https://mlsanity.com/paper/2411.07560/) (2024)

## Abstract (arXiv)

Deep learning is an effective approach to solving image recognition problems. People draw intuitive conclusions from trading charts; this study uses the characteristics of deep learning to train computers in imitating this kind of intuition in the context of trading charts. The three steps involved are as follows: 1. Before training, we pre-process the input data from quantitative data to images. 2. We use a convolutional neural network (CNN), a type of deep learning, to train our trading model. 3. We evaluate the model's performance in terms of the accuracy of classification. A trading model is obtained with this approach to help devise trading strategies. The main application is designed to help clients automatically obtain personalized trading strategies.