TickAtlas

Use Case

Financial Content & Newsletters

AI-generated market summaries, currency heatmaps, indicator snapshots, and economic calendar data to power newsletters, blogs, and financial content at scale.

The Challenge

Financial content creators — newsletter writers, market analysts, fintech bloggers — need fresh market data every day. Writing "EURUSD RSI is currently 67.3 on the daily chart" requires manually checking multiple platforms. Generating a weekly heatmap, summarizing indicator states across major pairs, and producing consistent daily market briefs is time-consuming work that should be automated.

How TickAtlas Solves It

AI Market Summaries

/v1/summary generates natural-language analysis with bias, confidence, and key levels. Drop directly into your newsletter.

Currency Heatmap

/v1/heatmap provides strength/weakness data across all currency pairs. Visualize which currencies are moving.

Economic Calendar

/v1/calendar lists upcoming events with forecasts and actuals. Generate "what to watch this week" sections automatically.

Indicator Snapshots

/v1/multi gives you RSI, MACD, and ADX across your watchlist in one call. Build data tables for your market reports.

Key Endpoints

Content Generation Architecture

architecture
┌──────────────────────────────────────────────────────────┐
              Content Generation Pipeline

  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐
 /v1/summary /v1/heatmap /v1/calendar
 AI Analysis Currency Map Events
  └──────┬───────┘  └──────┬───────┘  └──────┬───────┘

         └─────────┬───────┴─────────┬───────┘

           ┌──────────────────────────────┐
 Template Engine
 (Jinja2, Handlebars, etc.)   │               │
           └──────────┬───────────────────┘

         ┌────────────┼────────────┐

   Newsletter    Blog Post    Market Report
   (Mailchimp)  (WordPress)  (PDF export)                │
└──────────────────────────────────────────────────────────┘

Code Example

python
import requests
from datetime import datetime

API_KEY = "your_api_key"
BASE = "https://tickatlas.com/v1"
headers = {"X-API-Key": API_KEY}

def generate_daily_brief():
    """Generate a daily market brief for newsletter."""

    major_pairs = ["EURUSD", "GBPUSD", "USDJPY", "AUDUSD", "XAUUSD"]
    brief = f"# Daily Market Brief — {datetime.now().strftime('%B %d, %Y')}\n\n"

    # AI summaries for each major pair
    for symbol in major_pairs:
        summary = requests.get(f"{BASE}/summary", headers=headers,
            params={"symbol": symbol}).json()
        data = summary["data"]
        brief += f"## {symbol}\n"
        brief += f"**Bias:** {data['bias']} ({data['confidence']}% confidence)\n\n"
        brief += f"{data['summary']}\n\n"

    # Currency heatmap overview
    heatmap = requests.get(f"{BASE}/heatmap", headers=headers).json()
    brief += "## Currency Strength\n\n"
    brief += "| Currency | Strength |\n|----------|----------|\n"
    for currency, strength in heatmap["data"].items():
        brief += f"| {currency} | {strength:+.2f}% |\n"

    # Upcoming high-impact events
    calendar = requests.get(f"{BASE}/calendar", headers=headers,
        params={"impact": "high"}).json()
    brief += "\n## Key Events This Week\n\n"
    for event in calendar["data"]["events"][:5]:
        brief += f"- **{event['datetime'][:10]}** — {event['title']} ({event['currency']})\n"

    return brief

# Generate and send
newsletter_content = generate_daily_brief()
print(newsletter_content)
# Send via Mailchimp, ConvertKit, etc.

Recommended Plan

Starter Plan

$29/mo

Content generation is low-frequency — daily or weekly. 10,000 requests/day comfortably handles multiple newsletter editions, blog posts, and report generation.

  • ✓ /v1/summary for AI-written market analysis
  • ✓ /v1/heatmap for visual currency strength
  • ✓ /v1/calendar for event-driven content
View all plans →

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