From 7812cbb55febf4e104da38772a1ea869c757a935 Mon Sep 17 00:00:00 2001 From: Thomas Wiecki Date: Fri, 2 Jan 2015 18:10:29 +0100 Subject: [PATCH] DOC Update README to add call to action to join mailing list. --- README.md | 19 ++++--------------- 1 file changed, 4 insertions(+), 15 deletions(-) diff --git a/README.md b/README.md index 845fe51f..1d5a2f49 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,6 @@ Zipline ======= [![Gitter](https://badges.gitter.im/Join Chat.svg)](https://gitter.im/quantopian/zipline?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) - [![version status](https://pypip.in/v/zipline/badge.png)](https://pypi.python.org/pypi/zipline) [![downloads](https://pypip.in/d/zipline/badge.png)](https://pypi.python.org/pypi/zipline) [![build status](https://travis-ci.org/quantopian/zipline.png?branch=master)](https://travis-ci.org/quantopian/zipline) @@ -10,28 +9,18 @@ Zipline Zipline is a Pythonic algorithmic trading library. The system is fundamentally event-driven and a close approximation of how -live-trading systems operate. Currently, backtesting is well -supported, but the intent is to develop the library for both paper and -live trading, so that the same logic used for backtesting can be -applied to the market. +live-trading systems operate. Zipline is currently used in production as the backtesting engine powering Quantopian (https://www.quantopian.com) -- a free, community-centered platform that allows development and real-time backtesting of trading algorithms in the web browser. +[*Join our community!*](https://groups.google.com/forum/#!forum/zipline) + Want to contribute? See our [open requests](https://github.com/quantopian/zipline/wiki/Contribution-Requests) and our [general guidelines](https://github.com/quantopian/zipline#contributions) below. -Discussion and Help -=================== - -Discussion of the project is held at the Google Group, -, -. - -For other questions, please contact . - Features ======== @@ -104,7 +93,7 @@ Dependencies Quickstart ========== -See our [tutorial](http://nbviewer.ipython.org/github/quantopian/zipline/blob/master/docs/tutorial.ipynb) to get started. +See our [getting started tutorial](tutorial.md). The following code implements a simple dual moving average algorithm.