xingwudaoCommunity·28 Agent Skills Included

open-xquant

Deterministic quant strategy backtesting, auditing, and research reporting

Turns trading ideas into declarative, reproducible, and auditable quant research artifacts. Guides strategy brainstorming, spec building, backtest execution, bias audits, robustness tests, and report writing through gated phases. Eliminates hallucinated backtests and unverifiable results by enforcing hash-bound evidence at every step. Helps researchers and coding agents reject false strategies faster with deterministic CLI and SDK primitives.

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npx skills add xingwudao/open-xquant --all -g -y

Available:

Instructs the agent on the project structure, a strict test-first bug-fixing protocol, and how to route new component requests to the correct creation sub-skill with concrete file paths.

All Skills in This Repository (28)

Pure Emerald Level Indicators

📦 In Repo

xingwudao

configure-trade-execution

Configure open-xquant strategy execution parameters including fees, slippage, and lot size.

evaluate-factor

Routes factor evaluation tasks to cross-sectional or time-series workflows.

explore-data

Inspect local parquet market data and download missing historical prices.

build-report-charts

Generate standardized equity, drawdown, and trade charts for open-xquant reports.

evaluate-cross-sectional

Compute IC, Rank IC, ICIR, decay, and turnover for cross-sectional factors.

build-universe

Define valid tradable symbol pools for open-xquant workflows with parquet data checks.

create-component

Validate open-xquant component registry and route build requests to sub-skills.

tune-parameters

Validate quantitative trading strategy parameters with out-of-sample testing and overfit detection.

open-xquant

Route open-xquant quantitative research tasks to specialized leaf skills.

run-authorized-backtest

Execute authorized quant backtests with provenance tracking and post-run validation.

create-rule

Create framework-compliant trading rules for the open-xquant kernel.

review-performance

Evaluate open-xquant backtest metrics and audit findings to determine strategy viability.

Community

Intermediate

Frequently Asked Questions

FAQPage Schema

How to install open-xquant?▼

Run `npx skills add xingwudao/open-xquant --all -g -y` in your terminal to install all skills in this suite globally.

What problem does open-xquant solve?▼

It makes quant backtests deterministic and auditable, so identical specs and data always produce identical results. This prevents AI-generated or hand-written strategies from producing unreproducible, untrustworthy results.

How does the strategy research workflow run?▼

It follows a gated pipeline: brainstorm the idea, audit the idea, build and audit the spec, run an authorized backtest, then run reproducibility, bias, and robustness checks before writing the final report.

Does open-xquant work with Claude Code and other coding agents?▼

Yes. It ships prebuilt skills and worker roles for Claude Code, Codex, OpenCode, Cursor, OpenClaw, and TRAE, installed through its agent installer.

Can I use open-xquant without deep programming experience?▼

Yes. You describe your strategy in plain language and the agent builds a declarative YAML spec, while the framework handles validation, backtesting, and auditing.