zenigame-alpha-sieve

Analyze Alpha Sieve OOS results and generate validation reports.

Updated Apr 17, 2026
One-click install
npx skills add https://github.com/kent013/zenigame-fx --skill zenigame-alpha-sieve
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zenigame-alpha-sieve
Source: https://github.com/kent013/zenigame-fx/tree/main/.claude/skills/_archived/zenigame-alpha-sieve
Command: npx skills add https://github.com/kent013/zenigame-fx --skill zenigame-alpha-sieve

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Alpha Sieve execution and analysis to validate OOS results and generate comparative reports for alpha sieves.

Core Features & Use Cases

  • Single-process preload evaluation to score all individuals in a run.
  • Centralized reporting to DB and Parquet with sieve_source traceability.
  • Supports run / analyze / compare workflows and warmstart integration.

Quick Start

指定したRunの Alpha Sieve 実行結果を分析し、レポートを生成してください。

Frequently Asked Questions about zenigame-alpha-sieve

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

FAQPage Schema
How do I analyze Alpha Sieve OOS validation results across multiple runs?

To analyze Alpha Sieve OOS validation results, you can use this Skill to evaluate multiple runs and regimes, generating per-run scoring, regime summaries, and comparative reports. It outputs results to a database and Parquet store with sieve_source traceability.

What is the best way to generate reports from Alpha Sieve out-of-sample data?

Generating reports from Alpha Sieve out-of-sample data is handled through centralized reporting to a database and Parquet format. The Skill provides run, analyze, and compare workflows to process OOS results and produce validation insights with full traceability.

Can I compare Alpha Sieve performance across different trading regimes?

Comparing Alpha Sieve performance across different regimes is supported through the compare workflow. The Skill analyzes OOS results across multiple runs and regimes, providing regime summaries and per-run scoring to validate alpha sieve performance variations.

Does the Alpha Sieve analysis workflow support warmstart integration?

Yes, the Alpha Sieve analysis workflow supports warmstart integration alongside run, analyze, and compare workflows. This allows you to preload and score all individuals in a run using a single-process evaluation before storing results in a database and Parquet store.

How do I store Alpha Sieve evaluation results for traceability?

Storing Alpha Sieve evaluation results for traceability is done through centralized output to a database and Parquet store. The Skill ensures sieve_source traceability is maintained across all per-run scoring and regime summaries generated during the analysis process.