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Data Intelligence

Alternative Data Platform

ClientQuantitative Hedge Fund
IndustryInvestment Management
Duration6 months
Team5 engineers
3.2%
Alpha Generated
Incremental annual alpha from alt data signals
15+
Data Sources
Integrated and normalized into unified platform
Real-time
Signal Updates
Continuous processing and signal generation

The Challenge

A quantitative fund needed differentiated data sources beyond traditional financials. They wanted to incorporate satellite imagery, social sentiment, and web traffic into investment models but lacked infrastructure to process and integrate these diverse data sources.

Our Solution

Developed a unified alternative data platform that ingests satellite data, Twitter/Reddit sentiment, Google Trends, and web scraping data. ML models process and normalize data, generating trading signals delivered in real-time.

Our Approach

1

Evaluated 50+ alternative data sources for signal quality and coverage

2

Built scalable data ingestion pipeline handling terabytes of daily data

3

Developed NLP models for sentiment analysis across social platforms

4

Created signal generation framework with backtesting integration

5

Implemented real-time alerting for actionable trading signals

Technology Stack

PythonSparkKafkaTensorFlowSnowflakeAirflow

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