tcsenpai/goldigger
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3 Commits

Author SHA1 Message Date
tcsenpai
1c9500e29a - Improved LSTM and GRU architectures for better efficiency. 
- Implemented early stopping for neural networks to prevent overfitting.
- Added more technical indicators for enhanced feature engineering.
- Introduced a weighted ensemble method for combining model predictions.
- Implemented a simple trading strategy based on predictions.
- Enhanced visualization to include trading strategy performance.
 2024-09-10 19:26:35 +02:00
tcsenpai
4c090cbd4a updated usage instructions 2024-09-10 18:43:02 +02:00
tcsenpai
ac3c2b396d first commit 2024-09-10 18:36:17 +02:00