SharkStock
PublicAutomate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement learning algorithm. We implement a sentiment analysis model using a recurrent convolutional neural network to predict the stock trend from the financial news. The objective of this paper is not to build a better trading bot, but to prove that reinforcement learning is capable of learning the tricks of stock trading.
convolutional-neural-networksdeep-reinforcement-learningpolicy-gradientrecurrent-neural-networkssentiment-classificationstock-markettrading-bot
Creat：2017-02-06T13:41:32
Update：2025-03-22T05:12:07
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