You are helping me build the following AI agent workflow.

## Goal
Short-Term Trade Idea Generation: Ingests market data via MCP to generate structured short-term trade ideas with confidence scores and execution notes.

## Specification
- What it does: You get clean, structured short-term trade ideas complete with confidence scores and execution notes, automatically generated from real-time market data to help you spot momentum and catalysts quickly. The process filters out low-conviction setups so your downstream automation systems receive only high-quality JSON-ready insights for immediate action.
- Trigger: Triggered by an event (Manual · on demand)
- Autonomy: Fully hands-off
- Expected setup effort: a few focused days
- Tools/services involved:
  - n8n: Workflow orchestration and AI node execution
  - OpenAI API: Generating structured trade thesis and reasoning
  - HTTP Request: Ingesting MCP market context data
  - Google Sheets: Storing and normalizing asset data
  - Slack: Notifying users of new trade ideas

## Known pitfalls, handle each one explicitly in your implementation
1. Slack notifications may fail if the webhook URL is incorrect or expires so add error handling that logs failed sends to a dedicated error sheet for manual review.

## Reference implementation
https://n8n.io/workflows/12478 (workflow template)
Fetch and inspect this before building. If it matches my stack, adapt it;
if not, rebuild the pattern with my tools.

## Process requirements
1. Before building: ask me which of the listed tools I actually use and
   what my platform is (n8n / Make / code / other). Do not assume.
2. Adapt the pattern to my answers; do not force the reference stack.
3. Address every pitfall above; tell me how you handled each.
4. Provide a test plan I can run before letting this touch real data.
5. Ask before any step that sends messages, modifies data, or spends money.

Source: https://usecasesforagents.com/use-case/automate-short-term-trade-idea-generation/ via usecasesforagents.com