kieranjwood/trading-momentum-transformer
A deep learning implementation of a transformer architecture for momentum-based futures trading strategies.
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This repository implements the Momentum Transformer, a transformer-based architecture designed for financial trading and momentum strategies. It accompanies published research papers and uses deep learning techniques to predict market movements and generate trading signals. The code enables backtesting trading strategies on futures market data and implements attention mechanisms for interpretability in financial applications.
Frequently asked
- What is kieranjwood/trading-momentum-transformer?
- A deep learning implementation of a transformer architecture for momentum-based futures trading strategies.
- Is trading-momentum-transformer open source?
- Yes — kieranjwood/trading-momentum-transformer is open source, released under the MIT license.
- What language is trading-momentum-transformer written in?
- kieranjwood/trading-momentum-transformer is primarily written in Python.
- How popular is trading-momentum-transformer?
- kieranjwood/trading-momentum-transformer has 632 stars on GitHub.
- Where can I find trading-momentum-transformer?
- kieranjwood/trading-momentum-transformer is on GitHub at https://github.com/kieranjwood/trading-momentum-transformer.