SharkStock
Automate 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.
Install / Use
/learn @BangaloreSharks/SharkStockREADME
# SharkStock
SharkStock is a automated stock trading bot that uses reinforcement learning. The project is under development.
Collborators:
- Anvitha G K Bhat
- Akhil Raj Azhikodan
Intallation Guide
- Create virtual environment
virtualenv senv
source senv/bin/activate
- Install dependencies
pip install -r requirements.txt
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