data-algo-fin

Diagnose trading-strategy weaknesses and ship Pine v6 or Python modules.

10|Updated Mar 24, 2026

Search Tags:#python #evaluation #strategy #confluence #trading #backtest #pine

Ready to run

npx skills add https://github.com/Fearvox/data-algo-skill --skill data-algo-fin

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: data-algo-fin
Source: https://github.com/Fearvox/data-algo-skill/tree/main/data-algo-fin
Command: npx skills add https://github.com/Fearvox/data-algo-skill --skill data-algo-fin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Data-Algo-Fin diagnostically analyzes trading-strategy weaknesses, recommends production-ready patterns, and ships Pine v6 / Python modules to implement fixes within the propfirm-v4 workflow.

Core Features & Use Cases

Diagnose strategy weaknesses and regime fit.
Propose 2-3 viable pattern options with trade-offs.
Ship Pine v6 indicators and Python modules; generate strategy-profile cards and three-panel visual reports; create memory profiles in .strategy-profile/ for reproducibility.

Quick Start

Provide a Pine v6 implementation for the chosen trading pattern and integrate it with the propfirm engine for immediate testing.

Frequently Asked Questions about data-algo-fin

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

FAQPage Schema

How do I diagnose trading strategy weaknesses and regime fit?▼

To diagnose trading strategy weaknesses and regime fit, you evaluate backtest metrics against current market conditions to identify performance degradation. This process proposes 2-3 viable production-ready pattern options with specific trade-offs and generates strategy-profile cards for reproducibility.

Can I generate Pine v6 indicators and Python modules for the same trading strategy?▼

Yes, you can ship Pine v6 indicators and Python modules for the same trading strategy. The workflow generates production-ready code for both environments, integrating Pine implementations with the propfirm engine for immediate testing while archiving memory profiles in `.strategy-profile/` for reproducibility.

What is a strategy-profile card and when do I need it for backtesting?▼

A strategy-profile card is a diagnostic summary generated to evaluate trading strategy weaknesses and regime fit during backtesting. You need it when transitioning strategies through the Diagnose, Recommend, Decide, and Ship workflow to ensure reproducible results and clear visualization reports.

How do I transition a trading strategy from backtest to live-paper trading?▼

To transition a trading strategy from backtest to live-paper trading, you apply the propfirm-v4 workflow across the Diagnose, Recommend, Decide, and Ship stages. This generates strategy-profile cards, creates three-panel visual reports, and ships Pine v6 or Python modules for live-paper execution.

Does this backtest evaluation workflow support Python and Pine script integration?▼

Yes, this backtest evaluation workflow supports both Python and Pine script integration. It ships Pine v6 indicators and Python modules as production-ready patterns, applying diagnostic analysis across backtests and live-paper transitions while generating visualization reports within the propfirm-v4 workflow.

What are the limitations of using confluence patterns in trading backtests?▼

Confluence patterns in trading backtests can suffer from regime misfit and overfitting if not properly evaluated. This Skill diagnoses these strategy weaknesses by proposing 2-3 viable pattern options with explicit trade-offs, ensuring you understand the limitations before shipping Pine v6 or Python modules.