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Persistent link: https://www.econbiz.de/10013353143
We present a deep reinforcement learning framework for an automatic trading of contracts for difference (CfD) on indices at a high frequency. Our contribution proves that reinforcement learning agents with recurrent long short-term memory (LSTM) networks can learn from recent market history and...
Persistent link: https://www.econbiz.de/10012611307
We present a deep reinforcement learning framework for an automatic trading of contracts for difference (CfD) on indices at a high frequency. Our contribution proves that reinforcement learning agents with recurrent long short-term memory (LSTM) networks can learn from recent market history and...
Persistent link: https://www.econbiz.de/10012302717
Persistent link: https://www.econbiz.de/10012692566
portfolio optimization. Researchers have investigated various state of the art machine learning models to predict Bitcoin price … predict daily Bitcoin prices. We study and compare different approaches using the root mean squared error (RMSE). Experimental …
Persistent link: https://www.econbiz.de/10012611261
. The only exception is BitCoin, for which returns on Mondays are significantly higher than those on the other days of the …
Persistent link: https://www.econbiz.de/10011749972
exception is BitCoin, for which returns on Mondays are significantly higher than those on the other days of the week. In this …
Persistent link: https://www.econbiz.de/10011777581
This paper examines price overreactions in the case of the following cryptocurrencies: BitCoin, LiteCoin, Ripple and …
Persistent link: https://www.econbiz.de/10011794200
This paper examines price overreactions in the case of the following cryptocurrencies: BitCoin, LiteCoin, Ripple and …
Persistent link: https://www.econbiz.de/10011794922
Persistent link: https://www.econbiz.de/10012421566