← Back to Skills Marketplace
Quantitative Research
by
zhengxinjipai
· GitHub ↗
· v1.0.0
4384
Downloads
2
Stars
34
Active Installs
1
Versions
Install in OpenClaw
/install quantitative-research
Description
World-class systematic trading research - backtesting, alpha generation, factor models, statistical arbitrage. Transform hypotheses into edges. Use when "bac...
Usage Guidance
Install only if you want quantitative trading research and backtesting guidance. Treat its outputs as educational or analytical support, not financial advice or permission to trade; verify assumptions, data quality, costs, and risk independently before acting.
Capability Assessment
Purpose & Capability
The artifacts consistently describe quantitative trading research, backtesting, alpha validation, factor models, statistical arbitrage, regime testing, and transaction-cost modeling. The included examples are advisory research patterns, not live execution workflows.
Instruction Scope
The frontmatter and reference detection patterns include broad terms such as alpha, signal, predict, factor, regime, historical, and download. That can cause over-activation or overly finance-specific advice, but the resulting behavior remains domain guidance rather than privileged action.
Install Mechanism
The package contains Markdown reference files and a small skill.json only. No executable scripts, installer commands, dependency installation, binaries, or shell hooks are present.
Credentials
The skill does not request API keys, broker credentials, local profile/session stores, private data indexing, network access, or filesystem access beyond reading its bundled references.
Persistence & Privilege
No persistence, background worker, memory storage, privilege escalation, account mutation, or autonomous trading behavior is evidenced in the artifacts.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install quantitative-research - After installation, invoke the skill by name or use
/quantitative-research - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Quantitative Research Skill v1.0.0
- Initial release of quantitative trading research skill.
- Provides expertise in backtesting, alpha generation, factor models, and statistical arbitrage.
- Skill includes detailed personality, contrarian insights, and hard-earned “battle scars” from systematic trading experience.
- Mandates strict grounding in provided reference files for all advice (patterns, failure cases, validations).
- Responds to requests involving terms like backtest, alpha, factor model, statistical arbitrage, mean reversion, momentum, and regime detection.
Metadata
Frequently Asked Questions
What is Quantitative Research?
World-class systematic trading research - backtesting, alpha generation, factor models, statistical arbitrage. Transform hypotheses into edges. Use when "bac... It is an AI Agent Skill for Claude Code / OpenClaw, with 4384 downloads so far.
How do I install Quantitative Research?
Run "/install quantitative-research" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Quantitative Research free?
Yes, Quantitative Research is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Quantitative Research support?
Quantitative Research is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Quantitative Research?
It is built and maintained by zhengxinjipai (@zhengxinjipai); the current version is v1.0.0.
More Skills