factor-mining

Name: factor-mining
Availability: InStock
Author: varsity-tech-product

Turn finance factor hypotheses into validated backtests and research artifacts.

12|1|Updated May 25, 2026

Search Tags:#performance analysis #quantitative research #alpha research #strategy development #financial signals #factor backtesting #factor mining

Ready to run

npx skills add https://github.com/varsity-tech-product/quandora-plugins --skill factor-mining-varsity-tech-product

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: factor-mining
Source: https://github.com/varsity-tech-product/quandora-plugins/tree/main/plugins/quandora/skills/factor-mining
Command: npx skills add https://github.com/varsity-tech-product/quandora-plugins --skill factor-mining-varsity-tech-product

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps finance agents turn factor hypotheses into validated, backtested research artifacts without manually coordinating data contracts, deduplication, validation, execution, and result retrieval.

Core Features & Use Cases

Factor Research: Explore reusable Factor Mining factor families, factor history, public research tasks, and custom factor ideas.
Validated Backtesting: Construct contract-compliant factor plugins, check duplicate risk, validate source code, submit backtests, resume interrupted runs, and interpret terminal results.
Artifact Management: Retrieve factor cards, performance charts, raw signal artifacts, and structured run manifests for later analysis.
Use Case: A quant researcher can submit a custom market factor, wait for its backtest, inspect in-sample metrics and diagnostics, and preserve the resulting research artifacts locally.

Quick Start

Use the factor-mining skill to list public tasks or run a custom factor idea through Quandora and summarize the backtest results.

Frequently Asked Questions about factor-mining

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

FAQPage Schema

How do I backtest custom financial signals for quantitative research?▼

You can backtest custom financial signals by constructing contract-compliant factor plugins and submitting them with inline source code for validation. The skill handles duplicate risk checks and returns backtest performance analysis results.

What is factor mining and how does it validate alpha research ideas?▼

Factor mining is the process of turning factor hypotheses into validated backtests and reusable research artifacts. It validates alpha research by executing contract-driven plugins and retrieving performance diagnostics.

Do I need an authenticated Quandora connection to run factor backtesting?▼

Yes, you require an authenticated Quandora Factor Mining connection to run factor backtesting. This credential-safe environment is necessary to submit source code, execute runs, and retrieve research artifacts.

How do I retrieve raw signal artifacts and performance charts after a backtest?▼

You retrieve raw signal artifacts and performance charts through controlled artifact retrieval after the backtest completes. The system provides structured run manifests and factor cards for later quantitative analysis.

Can I resume interrupted factor backtest runs during strategy development?▼

Yes, you can resume interrupted factor backtest runs during strategy development. The skill supports interrupted-run recovery to ensure your quantitative research tasks continue without losing previous progress.

Does factor deduplication check existing factor-family history before submitting new ideas?▼

Yes, factor deduplication checks existing factor-family history and public research tasks before submitting new ideas. This duplicate risk validation ensures your custom factor contributes unique alpha research value.