system-architecture.md

Community

Turn trading strategy into a safe, deliverable system.

Authorsarkcesscrewpay
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill eliminates ambiguity in deploying an AI trading intelligence workflow by defining the end-to-end production architecture, data flow, and safety guardrails so analysis can be delivered to humans without autonomous execution.

Core Features & Use Cases

  • Defines a production-ready architecture: maps the full pipeline from TradingView alerts through webhook ingestion, macro/broker validation, reasoning, memory, scheduling, and WhatsApp delivery.
  • Implements a safety-first decision pipeline: enforces rules like no auto-trading, macro danger overrides, broker health checks, and confidence thresholds for WAIT/PREPARE/EXECUTE messaging.
  • Enables modular skill orchestration: specifies how a “Master Trading Brain” consumes multiple referenced skill documents (e.g., risk assessment, timing engine, integrations) to generate high-quality intelligence reports.

Quick Start

Ask an AI to generate a deployment checklist and module interface map for the system-architecture.md workflow so each layer can be implemented consistently.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: system-architecture.md
Download link: https://github.com/sarkcesscrewpay/trading-intelligence-system/archive/main.zip#system-architecture-md

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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