Shypd.aiThe largest open index of AI toolsDeep-Convolution-Stock-Technical-Analysis uses deep convolutional neural networks (CNNs) to model the stock market. It leverages technical analysis to predict future stock trends, requiring Python 3.5+ and TensorFlow.
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Deep-Convolution-Stock-Technical-Analysis is an open-source project that utilizes Deep Convolutional Neural Networks (CNNs) to model and predict stock market trends based on technical analysis. The system processes stock data as 1D images, analyzing patterns in Open, High, Low, Close, and Volume channels. It employs multiple convolutional layers and batch normalization to extract deep features, ultimately outputting bullish and bearish confidence scores. While the trained model is proprietary, the code is available for users to train their own models. It requires Python 3.5+ and TensorFlow, with TensorFlow-GPU highly recommended due to the computational demands of training.
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