Financial News Gets Smarter When Machines Actually Read

Most traders still manually scan hundreds of headlines daily. We built something different for Vietnam's financial community — algorithms that parse market sentiment from news sources faster than you can refresh your feed, turning real-time information into actionable market intelligence.

Financial news processing dashboard showing real-time market analysis

Numbers That Actually Matter in Market Hours

When breaking news hits at 9:47 AM and you're still reading the third paragraph, someone else already traded on it. Here's what our systems handled last quarter serving institutional clients across Southeast Asia.

2.8M
Articles Processed

Q1 2025 across Vietnamese and international sources

14s
Average Processing Time

From article publication to sentiment classification

87%
Accuracy Rate

Validated against expert financial analyst classifications

Machine learning model analyzing Vietnamese financial market data Real-time sentiment analysis visualization for stock market news

How We Turn Headlines Into Market Intelligence

Financial news processing isn't magic. It's pattern recognition at scale, combined with domain expertise about what moves markets. We trained our models on seven years of Vietnamese market data to understand what "restructuring" means versus "strategic repositioning" in local business context.

1

Source Aggregation

Our crawlers monitor 340+ Vietnamese and international financial news sources continuously. Every article gets timestamped and categorized by sector before it hits the processing pipeline.

2

Natural Language Processing

The system parses each article for entities, sentiment markers, and contextual relationships. It knows that "profit warning" from a major bank carries different weight than the same phrase from a small manufacturer.

3

Sentiment Classification

Beyond simple positive-negative scoring, we classify news by impact probability and market sector relevance. A mining regulation change gets flagged differently than tech sector news.

4

Alert Distribution

High-impact classifications trigger immediate notifications through your preferred channels. Everything else goes into daily digests organized by sectors you're watching.

Financial data processing workflow showing news analysis stages
Duyen Pham, senior financial analyst reviewing market data
Thu Nguyễn, lead data scientist for financial modeling Our team serves clients across Ho Chi Minh City's financial district

Built for Vietnam's Market Reality

We're not adapting Western tools for local markets. Our systems were trained from day one on Vietnamese financial language, regulatory patterns, and market dynamics. That means understanding why "cổ tức" context matters differently than generic dividend news.

Since launching in early 2023, we've processed news for institutional clients managing over $2.4 billion in assets across Southeast Asian markets. The difference shows up in response time — when policy changes hit during lunch hour, you're not waiting for manual analysis.

Dual Language Processing

Full Vietnamese and English news analysis with culturally-aware sentiment detection that understands local business communication patterns.

Custom Alert Thresholds

Define what matters to your portfolio. Energy sector volatility might need instant alerts while tech news can wait for daily summaries.

Historical Pattern Analysis

Every classification gets compared against seven years of market movement data to identify which types of news actually moved prices historically.