A deep learning based stock trading model with 2-D CNN trend detection

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Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019 (2019, methodology): “The authors of [198] converted the time series of price data to 2-dimensional images using technical analysis and classified them with deep CNN.”
Deep Learning for Financial Applications : A Survey (2020, methodology): “[57] 17 ETFs 2000-2016 Price data, technical indicators CNN Accuracy, MSE, Profit, AUROC Keras, Tensorflow”
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends (2019, methodology): “CNN on the other hand, with its techniques of convolution, pooling and drop out mechanism reduces the tendency of overﬁtting [156].”
A Survey of Forex and Stock Price Prediction Using Deep Learning (2021, methodology): “We found that paper [22] had the highest accuracy compared to any other papers, paper [16] had the highest return rate followed by papers [14,18,21].”