Back to Portfolio
FinPulse
Real-time Market Sentiment Analysis Engine
78%
Prediction Accuracy
12ms
Processing Speed
50+
Data Sources
Signal in the Noise
A boutique hedge fund needed to identify market-moving news faster than the Bloomberg terminal. Generic sentiment analysis tools struggled with financial jargon and nuance.
Domain-Adaptive Pretraining
We pre-trained a custom 7B-parameter model on 10 years of financial reports and news. The resulting model parses news streams in real-time, assigning sentiment scores and confidence intervals that feed directly into the trading algo.
Input Stream
Context Retrieval
Core
Orchestrator
Action Engine
Response Gen
System Architecture v1.0
Key Outcomes
- 200ms latency advantage over competitors.
- 15% increase in alpha generation for Q3.
- Automated 90% of manual news monitoring.