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.
Not currently ranked — collecting fresh signals.
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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.
Frequently asked
- What is 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.
- Is automating-technical-analysis open source?
- Yes — akurgat/automating-technical-analysis is open source, released under the MIT license.
- What language is automating-technical-analysis written in?
- akurgat/automating-technical-analysis is primarily written in Python.
- How popular is automating-technical-analysis?
- akurgat/automating-technical-analysis has 437 stars on GitHub.
- Where can I find automating-technical-analysis?
- akurgat/automating-technical-analysis is on GitHub at https://github.com/akurgat/automating-technical-analysis.