Automating a Weekly Forex Newsletter with AI Summaries

The Challenge

Elena runs a weekly forex newsletter with 2,000 subscribers. Each edition required analyzing 20+ currency pairs, writing commentary on major moves, and creating a market overview. The process took 5-6 hours every Sunday. Consistency was hard to maintain: some weeks the analysis was thorough, others it was rushed when time was short.

The Solution

Elena automated the data-gathering phase entirely. A Python script runs every Sunday morning, pulling AI summaries for her 20 tracked pairs and the currency heatmap for the weekly overview. She then reviews, edits, and adds her personal commentary to the generated draft.

# Sunday morning automation
pairs = ["EURUSD", "GBPUSD", "USDJPY", ...]  # 20 pairs

for pair in pairs:
    summary = api.get(f"/v1/summary?symbol={pair}&timeframe=D1")
    sections.append(format_section(pair, summary))

heatmap = api.get("/v1/heatmap")
overview = generate_overview(heatmap)

newsletter = compile_newsletter(overview, sections)
send_draft_to_email(newsletter)

The Results

• 4 hours saved per week: Data gathering dropped from 4+ hours to 15 minutes. Elena spends 1 hour on editing and personal commentary.
• Consistent quality: Every edition covers the same pairs with the same depth of analysis. No more rushed editions on busy weeks.
• Better insights: The AI summaries catch patterns Elena sometimes missed, adding analytical depth to the newsletter.
• Scalable coverage: Adding new pairs to the newsletter requires adding one line to the script, not hours of additional analysis.

Architecture

Cron (Sunday 08:00 UTC) → Python script
  → /v1/summary (20 pairs x D1)
  → /v1/heatmap (weekly overview)
  → Markdown template → HTML email draft
  → Gmail draft (Elena reviews + edits)
  → Mailchimp send (Sunday evening)

Key Endpoints Used