Document Processing
Filtering the noise for Far View Capital
David Hathaway, a Portfolio Manager, was overwhelmed by the sheer volume of financial news. We built a system to find exactly what he needed, automatically.
The Problem
In finance, missing a headline can cost money. But reading every single article from every source is impossible. David was spending too much time scanning RSS feeds.
- ×Manual scanning of dozens of RSS feeds
- ×Information overload from irrelevant articles
- ×Fear of missing critical updates on specific companies
- ×No centralized archive of past news
The Solution
Automated "Smart Digest"
1
1. Fetching
System constantly watches RSS feeds (e.g., Newswire).
2
2. Filtering
It filters articles based on a strict list of financial keywords.
3
3. Summarizing
OpenAI (ChatGPT) reads relevant articles and creates a 3-5 bullet point summary.
4
4. Archiving
Data is stored in a Postgres database (preventing duplicates).
5
5. Delivery
A clean HTML email digest is sent specifically when he wants it.
The Results
10h+
Saved Weekly
On reading noise
100%
Signal
Only relevant news
Archive
Searchable DB
Historical data
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