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Learning to trade cryptocurrencies with reinforcement learning

Learning to trade cryptocurrencies with reinforcement learning

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ST] or arXiv Focus to project that will add value for arXiv's community. Connected Papers What is Connected. AI ; Machine Learning cs. Learn more about arXivLabs. Have an idea for a learn more DOI s linking to related resources.

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The Most ACCURATE Machine Learning Indicator
We use a deep reinforcement learning agent to make trading actions, which can be either buy, sell, or hold. Generating Buy/Sell signals based on historical prices of an asset using a Deep Reinforcement Learning algorithm known as Duelling Deep Q. Li et al. [11] proposed another deep reinforcement learning architecture for high-frequency trading (HFT) of cryptocurrencies. The key component.

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More specifically, they constructed a tree-based model for return prediction, which was trained on technical indicators. To ensure that TraderNet does not overfit on data, the evaluation samples were only available during the evaluation and were not used on training. Second, the majority of these works lack a social indicator, which could possibly confirm several trend signals [ 5 ] alongside with the market data.