https://github.com/kprestel/py-investment

Extensible Algo-Trading Python Package.
https://github.com/kprestel/py-investment

algorithmic-trading finance financial fintech investing investment money python-3-6 python3 technical-analysis

Last synced: 1 day ago
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Extensible Algo-Trading Python Package.

• Host: GitHub
• URL: https://github.com/kprestel/py-investment
• Owner: kprestel
• License: other
• Created: 2016-10-23T21:15:14.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2023-02-10T21:24:11.000Z (over 1 year ago)
• Last Synced: 2024-09-29T16:42:59.153Z (4 days ago)
• Topics: algorithmic-trading, finance, financial, fintech, investing, investment, money, python-3-6, python3, technical-analysis
• Language: Python
• Homepage:
• Size: 1.23 MB
• Stars: 21
• Watchers: 8
• Forks: 6
• Open Issues: 11
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
PyInvestment

===

PyInvestment is still very *pre-alpha* and under active development.

#### Project Goals

  * Provide a simple yet extensible framework to perform real time quantitative financial analysis.

  * Provide a backtesting system to allow the user to test their trading strategy in as realistic of conditions as they see fit.

  * Be simple enough for a beginner to pick up and use while being sophisticated enough that professionals will *need* to use it.

  * Allow the user to use whatever data they want.

### Contributing

Being pre-alpha means that we *need* contributors to help make this project a success. 

Don't hesitate to send me an email with questions or even a pull request with a new feature you think would fit into our framework.



### Setup (Ubuntu 64-bit)

#### Docker Installation

Add key server for official Docker repo, update package list, verify repo

```

sudo apt-get adv --keyserver hkp://p80.pool.sks-keyservers.net:80 --recv-keys 58118E89F3A912897C070ADBF76221572C52609D

sudo apt-get update

```

Verify that you are pointing to official Docker repo (optional)

```

apt-cache policy docker-engine

```

Install Docker, check to see if daemon is running

```

sudo apt-get install docker-engine

sudo systemctl status docker

```

#### Docker Build 

##### (Option 1: local)

Use parameters in local `Dockerfile` to create docker instance

```

cd PyInvestment/

# Format: docker build --tag/-t / .

docker build --tag my/repo . 

docker volume create mongodata

docker run -p 27017:27017 -v mongodata:/data/db my/repo

```

##### (Option 2: repo)

```

docker pull ******

```