A CNN trained on raw candlestick chart images predicts market strength at roughly 0.7 accuracy, and adding YOLO-detected candlestick patterns does not reliably improve that performance.
Stock Chart Pattern recognition with Deep Learning
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abstract
This study evaluates the performances of CNN and LSTM for recognizing common charts patterns in a stock historical data. It presents two common patterns, the method used to build the training set, the neural networks architectures and the accuracies obtained.
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Investigating Market Strength Prediction with CNNs on Candlestick Chart Images
A CNN trained on raw candlestick chart images predicts market strength at roughly 0.7 accuracy, and adding YOLO-detected candlestick patterns does not reliably improve that performance.