Trading Cryptocurrency with Deep Deterministic Policy Gradients

Recently a student of mine developed a system to predict stock prices of cryptocurrencies. His work has been published as a book chapter in Springer’s prestigious lecture notes on computer science. You might want to read that here. You may as well have an interesting idea related to this on which we might work together.

Trading Cryptocurrency with Deep Deterministic Policy Gradients

Evan Tummon Muhammad Adil Raja Conor Ryan Part of the Lecture Notes in Computer Science book series (LNCS, volume 12489) The volatility incorporated in cryptocurrency prices makes it difficult to earn a profit through day trading. Usually, the best strategy is to buy a cryptocurrency and hold it until the price rises over a long period.

Here is a video of the presentation.

 

Photo by Victoria Reay

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CC BY-NC-ND 4.0 Trading Cryptocurrency with Deep Deterministic Policy Gradients by Psyops Prime is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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