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🚀 FinTech Trends Analyst

AI-Powered Bilingual FinTech Intelligence System for Newsletter Creation & Trend Analysis

A comprehensive system that combines automated news collection, intelligent trend analysis, and bilingual newsletter generation (English/繁體中文) with a focus on Asia-Pacific FinTech markets. Built with Claude Code agent framework.

License: MIT Python 3.8+ Status: Production Ready


📋 Table of Contents


✅ Current Status

Version: 1.0 (Production Ready) Last Updated: February 1, 2026

Completed Components

  • Historical Memory System - 3 structured JSON databases (sources, companies, trends)
  • Automated RSS Collection - Collects from 14 active news/newsletter sources
  • Bilingual Support - Full English and Traditional Chinese (繁體中文) support
  • Newsletter Templates - Markdown templates for both languages with examples
  • PDF Generation - Automated PDF creation with language-specific styling
  • Enhanced Agent - Claude Code agent with full system integration
  • Documentation Suite - Complete setup, architecture, and usage guides

System Metrics

Metric Count Details
News Sources 32 total 14 automated (RSS), 18 manual monitoring
Tracked Companies 113 Across payments, banking, crypto, etc.
Trend Categories 13 With regional priorities and lifecycle stages
Languages 2 English, Traditional Chinese (繁體中文)
Credibility Tiers 5 levels 10.0 (regulatory) to 7.5 (newsletters)

What's Working

✅ RSS collection from multiple sources ✅ Article analysis and trend classification ✅ Bilingual newsletter generation ✅ PDF export with proper CJK font support ✅ Company mention tracking ✅ Historical archiving (quarterly structure)

Ready for Testing

⏳ End-to-end workflow (collection → analysis → newsletter → PDF) ⏳ Real-world newsletter generation in both languages ⏳ Database updates from actual article processing


🎯 Overview

The FinTech Trends Analyst is an intelligent system designed for FinTech analysts, researchers, and newsletter creators who need to:

  • Monitor 32+ premium FinTech news sources automatically
  • Analyze 113 key companies across all FinTech categories
  • Track 13 major trend categories with regional focus
  • Generate publication-ready trend briefs and newsletters
  • Maintain historical context and trend evolution data

Who is this for?

  • 📰 Newsletter creators (biweekly/monthly FinTech digests)
  • 🏦 Financial institutions tracking industry trends
  • 💼 FinTech investors monitoring market developments
  • 🔬 Researchers analyzing FinTech ecosystem evolution
  • 📊 Analysts producing regular market intelligence

✨ Features

🤖 Intelligent Agent System

  • Claude-powered analysis using advanced AI reasoning
  • Contextual understanding of FinTech terminology and trends
  • Multi-source synthesis connecting patterns across articles
  • Historical memory tracking trends over time

📡 Automated News Collection

  • RSS feed monitoring from 14+ premium sources
  • Smart filtering removes jobs, events, non-articles
  • Deduplication handles same story from multiple outlets
  • Credibility scoring weights sources by reliability

🗄️ Knowledge Management

Sources Database (32 sources)

  • News sites: TechCrunch, CoinDesk, American Banker
  • Newsletters: FinTech Brainfood, Bankless, The Generalist
  • Trade publications: Finextra, PYMNTS, The Block
  • Asian sources: The Asian Banker, Tech in Asia, Nikkei

Companies Tracking (113 companies)

  • Traditional banks: JPMorgan, DBS, CTBC, Cathay
  • FinTech unicorns: Stripe, Plaid, Revolut, Klarna
  • Super apps: Grab, Ant Group, Tencent, LY Corporation
  • Crypto: Coinbase, Binance, Circle

Trends Index (13 categories)

  • Payments & Digital Banking
  • Embedded Finance & Super Apps
  • Blockchain & Crypto
  • AI in Financial Services
  • RegTech & Compliance

🌏 Geographic Focus

Primary: Taiwan, Japan, South Korea, Singapore, China, Southeast Asia Secondary: US, Europe, Hong Kong

📝 Bilingual Publishing System

  • Languages: English and Traditional Chinese (繁體中文)
  • Auto-detection: Identifies language from filename or content
  • Markdown newsletters with professional templates
  • PDF generation with language-specific fonts and styling
    • English: Uses pdflatex with standard fonts
    • 繁體中文: Uses XeLaTeX with Noto Sans CJK TC
  • Template examples in both languages
  • Terminology mapping for trend status, priorities, etc.

🏗️ Architecture

fintech-trends/
├── data/                                    # Knowledge Bases
│   ├── sources-database.json               # 32 sources + credibility (0-10)
│   ├── companies-tracking.json             # 113 tracked companies
│   └── trends-index.json                   # 13 categories + lifecycle stages
│
├── scripts/                                 # Automation Tools
│   ├── rss_collector.py                    # RSS collection (14 sources)
│   └── generate_pdf.py                     # PDF generation with i18n
│
├── templates/                               # Publishing Templates
│   ├── newsletter_template.md              # English template
│   ├── newsletter_template_zh-TW.md        # 繁體中文模板
│   ├── example_newsletter.md               # English example
│   ├── example_newsletter_zh-TW.md         # Chinese example
│   ├── pdf_config.yaml                     # PDF config (EN)
│   ├── pdf_config_zh-TW.yaml               # PDF config (ZH-TW)
│   └── language_config.json                # Bilingual terminology
│
├── sources/                                 # Collection Outputs
│   └── collected_articles_*.json           # Timestamped collections
│
├── archive/                                 # Historical Storage
│   ├── 2025-Q1/                            # Quarterly organization
│   │   ├── edition_2025-01_en.md
│   │   └── edition_2025-01_zh-TW.md
│   └── 2025-Q2/
│
└── docs/                                    # Documentation
    ├── ARCHITECTURE.md                     # System design
    ├── SETUP.md                            # Installation guide
    └── TEMPLATES_GUIDE.md                  # Publishing workflow

System Flow:

RSS Feeds → Collector → Raw Articles → Agent Analysis → Language Selection
    ↓                         ↓                  ↓              ↓
Sources DB            Deduplication      Trend Ranking    (EN or ZH-TW)
Credibility              ↓                     ↓              ↓
Scoring          Companies DB         Regional Focus  → Template Fill
                 Trends Index         Credibility            ↓
                      ↓                    ↓          Newsletter (MD)
                 Mentions Track     Historical Data          ↓
                                                        PDF Generator
                                                        (pdflatex/xelatex)
                                                             ↓
                                                    Professional PDF

See ARCHITECTURE.md for detailed architecture documentation.


🚀 Quick Start

Prerequisites

  • Python 3.8+ (Download)
  • Claude Code CLI (Installation guide)
  • Git for version control
  • Pandoc for PDF generation (Install guide)
  • LaTeX distribution:
    • macOS: brew install basictex
    • Linux: sudo apt-get install texlive-latex-base texlive-fonts-recommended
    • Windows: MiKTeX
  • Noto Sans CJK TC font (for Traditional Chinese PDFs):
    • macOS: brew install font-noto-sans-cjk-tc
    • Linux: sudo apt-get install fonts-noto-cjk
    • Or download from Google Fonts

Installation

# Clone the repository
git clone https://github.com/laiyenju/fintech-trends-analyst.git
cd fintech-trends-analyst

# Install Python dependencies
pip install -r requirements.txt

# Verify installation
python scripts/generate_pdf.py --check

# Check data files
ls -la data/  # Should show 3 JSON files

# Check templates
ls -la templates/  # Should show bilingual templates

First Collection

# Collect articles from RSS feeds (last 14 days)
cd scripts
python rss_collector.py

Expected output:

🚀 Starting RSS collection from 14 sources...
📅 Collecting articles from last 14 days

📡 Collecting from techcrunch_fintech...
   ✅ Collected 23 articles from techcrunch_fintech
📡 Collecting from coindesk...
   ✅ Collected 45 articles from coindesk
...
✨ Collection complete!
📊 Total articles collected: 127
💾 Saved to: ../sources/collected_articles_20250121_143022.json

Generate Your First Newsletter

# Launch Claude Code
claude-code

# In the Claude Code session:
> "Generate newsletter from collected articles"

The agent will:

  1. Ask for language preference (English or 繁體中文)
  2. Read the latest collected articles (from sources/)
  3. Load all three databases (sources, companies, trends)
  4. Classify articles by trend category using trends-index
  5. Identify company mentions using companies-tracking
  6. Calculate credibility scores from sources-database
  7. Rank trends using formula: priority × mentions × regional_relevance × credibility
  8. Fill appropriate template (EN or ZH-TW) with top 5-8 trends
  9. Save to archive/YYYY-QX/edition_YYYY-MM_LANG.md
  10. Provide PDF generation command

Generate PDF

cd scripts

# Auto-detect language from filename
python generate_pdf.py ../archive/2025-Q1/edition_2025-01_zh-TW.md

# Or specify explicitly
python generate_pdf.py ../archive/2025-Q1/edition_2025-01.md --language en

# Generate HTML preview (faster for checking)
python generate_pdf.py ../archive/2025-Q1/edition_2025-01.md --preview

See TEMPLATES_GUIDE.md for detailed publishing workflow.


📖 Usage

Typical Biweekly Newsletter Workflow

Week 1-2: Continuous Collection

# Run collector periodically (e.g., every 3 days)
cd scripts
python rss_collector.py

Publication Day: Analysis & Generation

# 1. Final collection
python scripts/rss_collector.py

# 2. Launch agent
claude-code
> "Generate this period's newsletter from collected articles"

# Agent will ask: "Which language? 1. English or 2. 繁體中文"
> 1  # or 2 for Traditional Chinese

# 3. Agent generates newsletter:
#    ✅ Analyzes ~100+ articles
#    ✅ Identifies top 5-8 trends
#    ✅ Tracks company mentions
#    ✅ Calculates regional relevance
#    ✅ Fills template in selected language
#    ✅ Saves to archive/YYYY-QX/edition_YYYY-MM_LANG.md

# 4. Generate PDF
python scripts/generate_pdf.py ../archive/2025-Q1/edition_2025-01_en.md

# 5. Review, edit if needed, publish!

Result: Professional bilingual newsletter in ~2-3 hours (vs. 8-10 hours manually)

Ad-Hoc Trend Research

# Launch agent
claude-code
> "Analyze recent embedded finance trends in Asia-Pacific"

# Agent will:
# - Search historical articles
# - Check companies-tracking for relevant players
# - Synthesize trend evolution
# - Provide actionable insights

Custom Company Tracking

# Add companies to data/companies-tracking.json
# Then ask agent:
> "Track all mentions of Toss Bank in recent articles"

See USAGE.md for more examples.


⚙️ Configuration

Adding New Sources

Edit data/sources-database.json:

{
  "your_source_id": {
    "name": "Source Name",
    "type": "newsletter",  // news_site, newsletter, trade_publication
    "url": "https://example.com",
    "rss_feed": "https://example.com/feed",
    "credibility_score": 8.0,  // 0-10
    "update_frequency": "weekly",
    "geographic_focus": "global",
    "specialty": ["fintech", "payments"],
    "status": "active",
    "region": "asia_pacific"
  }
}

Adding Companies

Edit data/companies-tracking.json:

{
  "company_id": {
    "name": "Company Name",
    "category": "digital_banking",
    "region": "taiwan",
    "tracking_reason": "market_leader",
    "type": "fintech",
    "specialty": ["mobile_banking", "ai"],
    "status": "active"
  }
}

Customizing Trend Categories

Edit data/trends-index.json to modify the 13 trend categories, regional priorities, or lifecycle stages.

See CONFIGURATION.md for detailed configuration guide.


📚 Documentation


🎨 Customization

This system is designed to be highly customizable:

Change Geographic Focus

Currently focused on Asia-Pacific. To shift focus:

  1. Update trends-index.json → Change primary_geographic_focus
  2. Update companies-tracking.json → Add/prioritize regional companies
  3. Update sources-database.json → Add regional news sources

Change Update Frequency

Default: Biweekly newsletters

To change to monthly:

  • Adjust max_age_days parameter in rss_collector.py to 30
  • Update newsletter metadata in trends-index.json

Change Trend Categories

The 13 default categories cover broad FinTech. To specialize:

  • Edit trends-index.json categories
  • Adjust priority levels
  • Modify impact assessment framework

🤝 Contributing

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

Areas for Contribution

  • 🌐 New data sources - Add regional or specialized sources
  • 🏢 Company additions - Expand company tracking database
  • 🔧 Tool improvements - Enhance RSS collector or add new scripts
  • 📝 Documentation - Improve guides and examples
  • 🌍 Localization - Add support for non-English sources

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.


🙏 Acknowledgments

  • Fubon Think Tank for the initial source and company framework
  • Claude Code by Anthropic for the agent framework
  • FinTech Brainfood, Bankless, and other newsletter creators for inspiration
  • The global FinTech community for continuous innovation

📧 Contact

For questions, suggestions, or collaboration:


🗺️ Roadmap

✅ Version 1.0 (Current - Production Ready)

Core Intelligence:

  • ✅ RSS collection from 14 active sources
  • ✅ Knowledge bases (32 sources, 113 companies, 13 trend categories)
  • ✅ Enhanced Claude Code agent with full system integration
  • ✅ Trend ranking algorithm with credibility weighting
  • ✅ Company mention tracking and database updates

Bilingual Publishing:

  • ✅ English and Traditional Chinese (繁體中文) support
  • ✅ Language auto-detection from filename/content
  • ✅ Professional Markdown newsletter templates (both languages)
  • ✅ PDF generation with language-specific fonts (pdflatex/xelatex)
  • ✅ Complete examples in both languages

Infrastructure:

  • ✅ Historical archiving (quarterly organization)
  • ✅ Comprehensive documentation suite
  • ✅ Quality assurance checklist

🔮 Version 1.1 (Planned)

  • 🔄 Automated scheduling - Cron job for periodic RSS collection
  • 🔄 Email distribution - Direct newsletter sending
  • 🔄 Trend visualization - Charts showing lifecycle progression
  • 🔄 API endpoints - For sources without RSS feeds
  • 🔄 Simplified Chinese support (简体中文) - Third language option

🚀 Version 2.0 (Future Vision)

  • 📊 Predictive analytics - ML-based trend emergence prediction
  • 🤝 Team collaboration - Multi-user workspace with role management
  • 🌐 Additional languages - Japanese, Korean support
  • 📱 Web dashboard - Visual analytics and interactive exploration
  • 🔔 Real-time alerts - Breaking news notifications
  • 🔍 NER-based discovery - Automated company/startup detection

⭐ If you find this project useful, please star the repository!

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AI-Powered Bilingual FinTech Intelligence System for Newsletter Creation & Trend Analysis (English/繁體中文)

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