strategy-builder

Convert natural-language trading ideas into structured WrenOS backtests, gates, and zoo-governed rankings.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/wrensignal/wrenOS --skill strategy-builder-wrensignal
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: strategy-builder
Source: https://github.com/wrensignal/wrenOS/tree/main/packs/core-skills-pack/strategy-builder
Command: npx skills add https://github.com/wrensignal/wrenOS --skill strategy-builder-wrensignal

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converts natural-language trading ideas into structured backtests, gates, and zoo-governed strategy rankings for WrenOS.

Core Features & Use Cases

  • NL-to-rule translation: translate a thesis into entry/exit rules and risk controls for backtesting.
  • Backtesting & governance: run walk-forward backtests, apply stability gates, and rank strategies in a dynamic zoo with champion/challenger dynamics.
  • Artifact generation: produce contracts, schemas, and artifacts for NL-rule translation, backtesting, and zoo governance to enable automation and auditing.

Quick Start

Describe a trading thesis in natural language and ask me to backtest it.

Frequently Asked Questions about strategy-builder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert natural language trading ideas into backtested strategies?

Natural language trading ideas are converted into backtested strategies through NL-rule translation, which translates your thesis into structured entry and exit rules and risk controls for walk-forward backtesting.

What is walk-forward backtesting and how does it evaluate trading rules?

Walk-forward backtesting evaluates trading rules by applying them across historical data segments, applying stability gates to validate performance, and generating structured artifacts and contracts for auditing and automation.

How do I rank and compare multiple trading strategies dynamically?

Multiple trading strategies are ranked and compared dynamically using zoo governance, which applies champion and challenger dynamics to evaluate and rank strategies based on their backtest and stability gate results.

Can I run backtests in paper mode without live trading?

You can run backtesting, evaluate strategies, and apply zoo governance in paper mode without live trading, generating structured contracts and artifacts for auditing strategy performance.

What schemas and artifacts are generated for backtest contracts and zoo governance?

Defined schemas and artifact outputs are generated for NL-rule translation, backtest contracts, and zoo governance contracts to enable automation, evaluation auditing, and structured strategy ranking.