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.
- Current Status
- Overview
- Features
- Architecture
- Quick Start
- Usage
- Configuration
- Documentation
- Contributing
- License
Version: 1.0 (Production Ready) Last Updated: February 1, 2026
- ✅ 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
| 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) |
✅ 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)
⏳ End-to-end workflow (collection → analysis → newsletter → PDF) ⏳ Real-world newsletter generation in both languages ⏳ Database updates from actual article processing
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
- 📰 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
- 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
- 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
- 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
- Traditional banks: JPMorgan, DBS, CTBC, Cathay
- FinTech unicorns: Stripe, Plaid, Revolut, Klarna
- Super apps: Grab, Ant Group, Tencent, LY Corporation
- Crypto: Coinbase, Binance, Circle
- Payments & Digital Banking
- Embedded Finance & Super Apps
- Blockchain & Crypto
- AI in Financial Services
- RegTech & Compliance
Primary: Taiwan, Japan, South Korea, Singapore, China, Southeast Asia Secondary: US, Europe, Hong Kong
- 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.
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.
- 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
- macOS:
- 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
- macOS:
# 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# Collect articles from RSS feeds (last 14 days)
cd scripts
python rss_collector.pyExpected 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
# Launch Claude Code
claude-code
# In the Claude Code session:
> "Generate newsletter from collected articles"The agent will:
- Ask for language preference (English or 繁體中文)
- Read the latest collected articles (from
sources/) - Load all three databases (sources, companies, trends)
- Classify articles by trend category using
trends-index - Identify company mentions using
companies-tracking - Calculate credibility scores from
sources-database - Rank trends using formula:
priority × mentions × regional_relevance × credibility - Fill appropriate template (EN or ZH-TW) with top 5-8 trends
- Save to
archive/YYYY-QX/edition_YYYY-MM_LANG.md - Provide PDF generation command
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 --previewSee TEMPLATES_GUIDE.md for detailed publishing workflow.
Week 1-2: Continuous Collection
# Run collector periodically (e.g., every 3 days)
cd scripts
python rss_collector.pyPublication 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)
# 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# 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.
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"
}
}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"
}
}Edit data/trends-index.json to modify the 13 trend categories, regional priorities, or lifecycle stages.
See CONFIGURATION.md for detailed configuration guide.
- SETUP.md - Detailed setup and installation guide
- ARCHITECTURE.md - System architecture and design decisions
- TEMPLATES_GUIDE.md - Publishing workflow and PDF generation
- CONTRIBUTING.md - How to contribute (sources, companies, code)
- GITHUB_CHECKLIST.md - Pre-publication checklist
This system is designed to be highly customizable:
Currently focused on Asia-Pacific. To shift focus:
- Update
trends-index.json→ Changeprimary_geographic_focus - Update
companies-tracking.json→ Add/prioritize regional companies - Update
sources-database.json→ Add regional news sources
Default: Biweekly newsletters
To change to monthly:
- Adjust
max_age_daysparameter inrss_collector.pyto 30 - Update newsletter metadata in
trends-index.json
The 13 default categories cover broad FinTech. To specialize:
- Edit
trends-index.jsoncategories - Adjust priority levels
- Modify impact assessment framework
Contributions are welcome! Please see CONTRIBUTING.md for guidelines.
- 🌐 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
This project is licensed under the MIT License - see the LICENSE file for details.
- 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
For questions, suggestions, or collaboration:
- Issues: GitHub Issues
- Discussions: GitHub Discussions
- Contributions: See CONTRIBUTING.md
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
- 🔄 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
- 📊 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!