trading-bot-development

Name: trading-bot-development
Availability: InStock
Author: enesmeyzin98

Automate development and maintenance of Meridian's 10-layer trading bot.

Updated Apr 22, 2026

Search Tags:#development #ui #risk-management #indicators #strategies #trading-bot #meridian

Ready to run

npx skills add https://github.com/EnesMeyzin98/Meridian --skill trading-bot-development

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: trading-bot-development
Source: https://github.com/EnesMeyzin98/Meridian/tree/main/agents/skills/trading-bot-development
Command: npx skills add https://github.com/EnesMeyzin98/Meridian --skill trading-bot-development

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Meridian's 10-layer trading bot development workflow enables engineers to build, extend, and maintain a complex crypto trading platform with safe, auditable changes across data, indicators, strategies, risk, learning, portfolio, and UI.

Core Features & Use Cases

Extend indicators, strategies, risk logic, learning components, and operator UI panels across all layers
Integrate new data sources and maintain traceability with governance requirements
Use cases include adding a new indicator, a new strategy, a UI panel, or an API endpoint while preserving safety constraints

Quick Start

Create a new indicator in the codebase and wire it into the pipeline for immediate testing.

Frequently Asked Questions about trading-bot-development

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

FAQPage Schema

How do I add a new indicator to a trading bot pipeline safely?▼

To add a new indicator to a trading bot pipeline, you create the indicator in the codebase and wire it into the pipeline for immediate testing. This process ensures traceable changes that respect strict risk gating and L6/L7 constraints.

What is a 10-layer trading bot architecture?▼

A 10-layer trading bot architecture is a modular structure spanning data, indicators, strategies, risk, learning, portfolio, and UI layers. It enables engineers to build and extend a complex crypto trading platform with safe, auditable changes.

Can I integrate new data sources into a crypto trading platform without breaking safety constraints?▼

Yes, you can integrate new data sources into a crypto trading platform while preserving safety constraints. The workflow requires modular code organization, strict risk gating, and operator approval workflows to maintain governance and traceability.

How do I extend trading bot strategies with operator approval workflows?▼

Extending trading bot strategies with operator approval workflows involves applying modular code changes that satisfy L6/L7 constraints. Comprehensive documentation in AGENTS.md and SKILL.md ensures all strategy modifications remain auditable and traceable.

What's the best way to maintain risk logic in an automated trading system?▼

The best way to maintain risk logic in an automated trading system is using strict risk gating within a 10-layer modular architecture. This approach enforces safe, auditable changes across learning components and portfolio rules with operator oversight.

When should I not use a modular 10-layer structure for trading bot development?▼

You should avoid a modular 10-layer structure for trading bot development if your project does not require strict risk gating, operator approval workflows, or comprehensive documentation to manage complex, multi-layered crypto trading scenarios.