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D E Shaw Research

作者 hanxueyuan · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
46
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install d-e-shaw-research
功能描述
Quantitative hedge fund founded by David Shaw, specializing in algorithmic trading, statistical arbitrage, and machine learning with $18B AUM as of 2023.
使用说明 (SKILL.md)

D E Shaw Research

Historical Timeline

  • 1988 — Founded by David E. Shaw after leaving Columbia CS department
  • 1990s — Develops statistical arbitrage models
  • 1996 — Hires Jeffrey Bezos as youngest VP (later founded Amazon)
  • 2000 — Manages $10B+
  • 2012 — $3.5B losses from trading strategy malfunction
  • 2013 — Restructures after significant drawdowns
  • 2023 — Returns to profitability with ~$18B AUM

Business Model

Systematic quantitative trading using mathematical models, statistical arbitrage, and machine learning. Revenue from management and performance fees.

Competitive Moat

Deep talent pool of PhD mathematicians, physicists, and computer scientists. Decades of proprietary data and model refinement create a nearly impossible-to-replicate advantage.

Key Data

Founded: 1988; HQ: New York; AUM: ~$18B (2023); Founder: David E. Shaw (PhD Stanford CS)

Interesting Facts

Jeffrey Bezos worked at D. E. Shaw from 1990-1994 as the company's youngest-ever VP. He left to found Amazon after seeing the internet's growth potential.

安全使用建议
There is no apparent security concern from the provided artifacts. Because the source and homepage are unknown and the content is informational, users should treat its factual claims as unverified reference material rather than authoritative financial research.
功能分析
Type: OpenClaw Skill Name: d-e-shaw-research Version: 1.0.0 The skill bundle contains purely informational content regarding the history and business model of D. E. Shaw Research. There is no executable code, network activity, or suspicious instructions within SKILL.md or _meta.json.
能力评估
✓ Purpose & Capability
The artifact is a short reference note about D. E. Shaw Research and does not request capabilities beyond being read for relevant research topics.
✓ Instruction Scope
The SKILL.md contains topical read_when guidance and factual background sections, with no instructions to override user intent, run tools, access accounts, or perform actions.
✓ Install Mechanism
There is no install specification and no code files; the static scanner had no executable content to analyze.
✓ Credentials
The metadata declares no required binaries, environment variables, credentials, config paths, or OS-specific access.
✓ Persistence & Privilege
No persistence, background execution, memory writing, account access, or privilege use is described in the provided artifacts.
如何使用
  1. 确保已安装 OpenClaw（本地或 Docker 部署）
  2. 在对话框中输入安装命令：/install d-e-shaw-research
  3. 安装完成后，直接呼叫该 Skill 的名称或使用 /d-e-shaw-research 触发
  4. 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
- Initial release of the d-e-shaw-research skill. - Includes a historical timeline highlighting major milestones from founding (1988) to recent profitability (2023). - Summarizes business model: systematic quantitative trading leveraging mathematical models and machine learning. - Outlines competitive advantages such as deep talent pool and decades of proprietary data. - Provides key facts including founder, founding year, location, and current AUM. - Features interesting facts, such as Jeff Bezos’ tenure and influence.
元数据
Slug d-e-shaw-research
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

D E Shaw Research 是什么？

Quantitative hedge fund founded by David Shaw, specializing in algorithmic trading, statistical arbitrage, and machine learning with $18B AUM as of 2023. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 46 次。

如何安装 D E Shaw Research？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install d-e-shaw-research」即可一键安装，无需额外配置。

D E Shaw Research 是免费的吗？

是的，D E Shaw Research 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

D E Shaw Research 支持哪些平台？

D E Shaw Research 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 D E Shaw Research？

由 hanxueyuan（@hanxueyuan）开发并维护，当前版本 v1.0.0。

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