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Deep Reinforcement Learning for Financial Trading Using Price Trailing
TLDR
A novel price trailing method is proposed that goes beyond traditional price forecasting by reformulating trading as a control problem, effectively overcoming the aforementioned limitations and leading to developing robust agents that can withstand large amounts of noise, while still capturing the price trends and allowing for taking profitable decisions. Expand
learn2learn: A Library for Meta-Learning Research
Meta-learning researchers face two fundamental issues in their empirical work: prototyping and reproducibility. Researchers are prone to make mistakes when prototyping new algorithms and tasksExpand