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Awesome-Quant download for Windows

Free download Awesome-Quant Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named Awesome-Quant whose latest release can be downloaded as awesome-quantsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Awesome-Quant with OnWorks for free.

请按照以下说明运行此应用程序:

- 1. 在您的 PC 中下载此应用程序。

- 2. 在我们的文件管理器 https://www.onworks.net/myfiles.php?username=XXXXX 中输入您想要的用户名。

- 3. 在这样的文件管理器中上传这个应用程序。

- 4. 从本网站启动任何 OS OnWorks 在线模拟器,但更好的 Windows 在线模拟器。

- 5. 从您刚刚启动的 OnWorks Windows 操作系统,使用您想要的用户名转到我们的文件管理器 https://www.onworks.net/myfiles.php?username=XXXXX。

- 6. 下载应用程序并安装。

- 7. 从您的 Linux 发行版软件存储库下载 Wine。 安装后,您可以双击该应用程序以使用 Wine 运行它们。 您还可以尝试 PlayOnLinux,这是 Wine 上的一个花哨界面,可帮助您安装流行的 Windows 程序和游戏。

Wine 是一种在 Linux 上运行 Windows 软件的方法,但不需要 Windows。 Wine 是一个开源的 Windows 兼容层,可以直接在任何 Linux 桌面上运行 Windows 程序。 本质上,Wine 试图从头开始重新实现足够多的 Windows,以便它可以运行所有这些 Windows 应用程序,而实际上不需要 Windows。

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Awesome-Quant


商品描述

awesome-quant is a curated list (“awesome list”) of libraries, packages, articles, and resources for quantitative finance (“quants”). It includes tools, frameworks, research papers, blogs, datasets, etc. It aims to help people working in algorithmic trading, quant investing, financial engineering, etc., find useful open source or educational resources. Licensed under typical “awesome” list standards.



功能

  • Collections of quant-finance libraries & packages across multiple languages (Python, R, C++, etc.)
  • Links to datasets and data sources for financial / market data
  • Resources for research, articles, blogs, educational content in quant finance
  • Frameworks/platforms, backtesting tools, risk management, portfolio optimization tools included
  • Curated; quality filtered; community contributions via pull requests are accepted
  • Tagged / organized by topic: algorithmic trading, time series, data visualization etc.


程式语言

Python


分类

算法交易

This is an application that can also be fetched from https://sourceforge.net/projects/awesome-quant.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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