prernamishra08 / 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.

# 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