GenAI in Factor Modeling Data Pipelines: A Hedge Fund Workflow on AWS
Industries Blog
This article discusses a comprehensive AWS-based solution for factor modeling in hedge funds, leveraging serverless technologies and generative AI to enhance quantitative investment strategies.
- Uses AWS Lambda, EventBridge, and Batch for automated data collection from sources like Yahoo Finance, SEC filings, and web searches
- Implements generative AI for sentiment analysis and extracting insights from financial documents
- Utilizes AWS Step Functions to orchestrate parallel computing for factor mining across thousands of securities
- Stores and processes data using ClickHouse database with tables tracking factor values, timeseries, and performance metrics
- Provides a Streamlit visualization dashboard to display factor effectiveness and statistical results
The solution offers hedge funds and quantitative analysts a scalable, cloud-native platform to develop sophisticated trading strategies by efficiently processing and analyzing complex financial data.
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