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Indicator Architect

Translate trading ideas into PineScript V5 and Python indicators.

Updated Apr 1, 2026
Search Tags:#python#backtesting#indicator#pine-script#tradingview#signal-design
One-click install
npx skills add https://github.com/quickxz35-ux/bookmap-crypto-addon --skill indicator-architect
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Indicator Architect
Source: https://github.com/quickxz35-ux/bookmap-crypto-addon/tree/main/skills/indicator_architect
Command: npx skills add https://github.com/quickxz35-ux/bookmap-crypto-addon --skill indicator-architect

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Indicator Architect helps AI subagents translate high-level trading ideas into executable PineScript indicators and Python-based backends, reducing manual coding effort and speeding up iteration.

Core Features & Use Cases

  • PineScript V5 expert: writes complex strategies with alerts, labels, and multi-chart inputs.
  • Python (QuantLib/Pandas): processes large datasets into clear buy/sell signals and backtesting results.
  • End-to-end tooling: supports design, refinement, and deployment of indicators and decision tools across TradingView and Python environments.

Quick Start

Provide a high-level strategy and generate an initial PineScript or Python indicator draft from a user idea.

Frequently Asked Questions about Indicator Architect

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

FAQPage Schema
How do I translate high-level trading ideas into executable PineScript indicators?▼

To translate trading ideas into PineScript indicators, provide a high-level strategy to generate an initial PineScript V5 draft with alerts, labels, and multi-chart inputs for automated signal generation.

Can I use Python with Pandas to backtest trading signals generated from TradingView strategies?▼

You can use Python with Pandas and QuantLib to process large datasets into clear buy/sell signals and backtesting results, supporting reusable logic across multiple assets and timeframes.

What is the best way to generate multi-step tooling for automated signal design across assets?▼

The best way to generate multi-step tooling for automated signal design is translating strategies into scalable architecture, producing clean, testable code for both TradingView and Python environments.

Do I need proficiency in PineScript V5 and Python to build automated backtesting workflows?▼

Yes, building automated backtesting workflows requires proficiency in PineScript V5 and Python, specifically utilizing libraries like QuantLib and Pandas to ensure clean, testable code generation.

Does this approach support writing complex TradingView strategies with alerts and multi-chart inputs?▼

Yes, this approach supports writing complex TradingView strategies by generating PineScript V5 code that includes custom alerts, labels, and multi-chart inputs for end-to-end indicator deployment.

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