deep-trading-agent

(★ 795)

Deep Reinforcement Learning based Trading Agent for Bitcoin

File Explorer

Download Latest Version (.zip)

- - data_download.sh
  - README.md
- - CompleteSchema.png
  - ConvolutionThroughTime.png
  - GRUThroughTime.png
  - StateRepresentation.png
- - pip-9.0.1-py2.py3-none-any.whl
  - README.md
  - requirements.txt
  - setupVM.sh
  - ta-lib-0.4.0-src.tar.gz
  - TA-Lib-0.4.10.tar.gz
- - __init__.py
- - config.cfg
  - config.cfg.sample
  - example.cfg
- - __init__.py
  - agent.py
  - baseagent.py
  - deepsense.py
  - deepsenseparams.py
  - environment.py
  - history.py
  - replay_memory.py
  - util.py
- - __init__.py
  - generate.py
  - processor.py
- - __init__.py
  - config.py
  - constants.py
  - strings.py
  - util.py
- main.py
- preprocess.py
.dockerignore
.gitignore
CHANGE.md
Dockerfile
LICENSE
README.md

# Installation Guide

1. Get the code

git clone https://github.com/samre12/deep-trading-agent

Downloads the entire project code from GitHub to your computer.

cd deep-trading-agent

Moves into the project folder you just downloaded.

2. Docker

Easy Recommended

Prerequisites

Git Needed to download the project code from GitHub.
Docker Desktop Needed to build and run containers. Install it and keep it running in the background.

docker pull samre12/deep-trading-agent:latest

Type this command into your terminal and run it.

docker run -p 6006:6006 -it samre12/deep-trading-agent:latest

Runs the built image as an actual container.

docker build -t deep-trading-agent .

Builds a runnable image based on the Dockerfile.

docker run -p 6006:6006 -it deep-trading-agent

Runs the built image as an actual container.

✅ Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.

Pulled directly from this repo's README.

3. Python

Easy

Prerequisites

Git Needed to download the project code from GitHub.
Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.

⚠️ This is a large repository, so this method may point to an internal sub-package rather than the actual core product. Check the full README as well.

pip install -r assets/vm/requirements.txt

Installs the Python libraries listed in requirements.txt (or similar).

python <실행할 파일명>.py # README에서 정확한 실행 파일명을 확인하세요

Runs the Python script (or module).

✅ If it runs without errors and prints output in the terminal, it worked.