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system-architecture.md

Define production architecture for alert-driven AI trading intelligence workflows.

Updated May 19, 2026
Search Tags:#system architecture#safety guardrails#ai trading#webhook ingestion#macro validation#broker risk checks#whatsapp delivery
One-click install
npx skills add https://github.com/sarkcesscrewpay/trading-intelligence-system --skill system-architecture-md
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: system-architecture.md
Source: https://github.com/sarkcesscrewpay/trading-intelligence-system/tree/main/skills/system_architecture_md_trading_intelligence_v_1
Command: npx skills add https://github.com/sarkcesscrewpay/trading-intelligence-system --skill system-architecture-md

SYSTEM DOCUMENTATION & REQUIREMENTS

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.

Frequently Asked Questions about system-architecture.md

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

FAQPage Schema
How do I build a safe AI trading intelligence system that delivers alerts without auto-trading?▼

An AI trading intelligence system prevents autonomous trading by enforcing deterministic safety guardrails, applying macro danger overrides, and requiring confidence thresholds before dispatching market analysis alerts to humans.

How do I ingest TradingView webhook alerts for AI market analysis and WhatsApp delivery?▼

TradingView webhook ingestion captures alert events and routes them through a validation pipeline that checks macro and broker conditions, orchestrates reasoning, and formats the final intelligence report for WhatsApp delivery.

What is the best way to add safety guardrails to an automated trading alert workflow?▼

Safety guardrails for trading alert workflows are implemented through broker health checks, macro validation overrides, and confidence scoring rules that restrict message dispatch to only WAIT, PREPARE, or EXECUTE notifications.

How do I prevent message spam when sending AI trading intelligence via WhatsApp?▼

Preventing WhatsApp message spam in trading pipelines requires deterministic decision rules that evaluate confidence thresholds and macro danger conditions, ensuring only validated, high-quality market intelligence reports are dispatched.

How does confidence scoring work in an AI trading intelligence pipeline?▼

Confidence scoring in an AI trading pipeline evaluates reasoning quality and market conditions, assigning a threshold value that determines whether the system outputs a WAIT, PREPARE, or EXECUTE message to the human recipient.

Can I use a Master Trading Brain to orchestrate multiple AI trading skills for market analysis?▼

A Master Trading Brain orchestrates modular AI trading skills by consuming multiple referenced documents for risk assessment and timing, generating cohesive intelligence reports rather than executing autonomous trades.

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