a Pythonic all-batteries-included framework for effective algorithmic trading. The framework is intended to simplify development, testing, deployment and evaluating algo trading strategies.
Project description
LiuAlgoTrader
Introduction
LiuAlgoTrader is a Pythonic all-batteries-included framework for effective algorithmic trading. The framework is intended to simplify development, testing, deployment and evaluating algo trading strategies.
LiuAlgoTrader can run on a Macbook laptop and hedge-on-the-go, or run on a multi-core hosted Linux server and it will optimize for best performance for either.
LiuAlgoTrader is Work-In-Progress, however it is a fully functional and powerful framework that may be used almost out-of-the-box. Assistance in development is highly appreciated, as well as comments and suggestions. Please check the Contribution section for further details.
Quickstart
This section describes the steps to install and setup LiuAlgoTrader for first use.
Prerequisite
- Paper, and preferable a funded Live account with Alpaca Markets.
- Installed PostgreSQL database.
Installation
To install LiuAlgoTrader just type:
pip install liualgotrader
First time run
LiuAlgoTrader applications require some configuration and setup which are best described in the documentation. However, to confirm your installation just type:
trader
Documentation
Is available here.
Development
Would you like to help me complete & evolve LiuAlgoTrader? Do you have a suggestion, comment, idea for improvement or a have a wish-list item? Don't be shy and email me at amichay@sgeltd.com
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file liualgotrader-0.0.37b2.tar.gz
.
File metadata
- Download URL: liualgotrader-0.0.37b2.tar.gz
- Upload date:
- Size: 36.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.1.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4b5f9ef8b565cd484e6c65778eded574dab5c6b2e8f86b3deca960130f8db8d8 |
|
MD5 | 60040376d21348e496bb333cb0677441 |
|
BLAKE2b-256 | 2fafe3913200096b3a29d892ee52cd911c85d614bd060af5149fd82c923ae82c |