akurgat/automating-technical-analysis
A financial trading application that uses a Transformer Encoder neural network to learn price patterns and recommend buy/sell/hold actions.

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This project applies deep learning to financial trading by combining popular technical analysis indicators (MACD, RSI, Stochastic) with a Transformer Encoder network to identify trading opportunities. Users interact with a Streamlit-based dashboard to analyze stocks and cryptocurrency in real-time, while the underlying model learns temporal price patterns to suggest optimal trading actions.