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itsjustfred

Backtest Expert 0.1.0

by itsjustFred · GitHub ↗ · v1.0.0
cross-platform ✓ Security Clean
1291
Downloads
2
Stars
32
Active Installs
1
Versions
Install in OpenClaw
/install backtest-expert-0-1-0
Description
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies...
Usage Guidance
Reasonable to install from a security perspective. Treat the content as educational trading methodology, not financial advice, and verify you are installing the intended package because the registry and bundled metadata versions differ slightly.
Capability Analysis
Type: OpenClaw Skill Name: backtest-expert-0-1-0 Version: 1.0.0 The skill bundle contains only documentation files (`.md`) and a metadata file (`.json`). The `SKILL.md` and its referenced markdown files provide detailed, educational content on backtesting trading strategies. There is no executable code, no instructions for the AI agent to perform any actions beyond providing information, and no evidence of prompt injection attempts, data exfiltration, or other malicious or suspicious behaviors.
Capability Assessment
Purpose & Capability
The artifacts coherently provide educational methodology for systematic trading backtests, stress testing, bias prevention, and failed-test analysis; they do not include broker integration, trade execution, account mutation, or financial-data access capability.
Instruction Scope
Runtime instructions are limited to advisory workflows and references to local markdown files; no prompt overrides, hidden commands, external service use, or user-control bypasses were found.
Install Mechanism
The bundle contains only markdown files and a small JSON metadata file. Registry metadata lists version 1.0.0 while bundled _meta.json lists 0.1.0, which is a provenance consistency note rather than a behavioral security issue.
Credentials
No environment variables, credentials, network access, local indexing, package installs, or sensitive file access are requested.
Persistence & Privilege
No persistence, background workers, elevated privileges, memory writes, or mutation authority are present.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install backtest-expert-0-1-0
  3. After installation, invoke the skill by name or use /backtest-expert-0-1-0
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release with expert guidance for rigorous backtesting of trading strategies. - Provides a step-by-step workflow for systematic backtest development and validation. - Emphasizes robust, pessimistic testing and stress tests over curve-fitting or optimistic results. - Covers key principles: parameter sensitivity, slippage/friction modeling, and bias prevention. - Includes detailed reminders, common failure patterns, and references for further methodology and failed tests. - Applicable to anyone developing, evaluating, or troubleshooting systematic trading strategies.
Metadata
Slug backtest-expert-0-1-0
Version 1.0.0
License
All-time Installs 32
Active Installs 32
Total Versions 1
Frequently Asked Questions

What is Backtest Expert 0.1.0?

Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies... It is an AI Agent Skill for Claude Code / OpenClaw, with 1291 downloads so far.

How do I install Backtest Expert 0.1.0?

Run "/install backtest-expert-0-1-0" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Backtest Expert 0.1.0 free?

Yes, Backtest Expert 0.1.0 is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Backtest Expert 0.1.0 support?

Backtest Expert 0.1.0 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Backtest Expert 0.1.0?

It is built and maintained by itsjustFred (@itsjustfred); the current version is v1.0.0.

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