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Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Vector Databases for Quant Finance: Real-Time Feature Stores and Embedding Pipelines for Trading AI: Build Intelligent Market Systems with Pinecone, F

Vector Databases for Quant Finance: Real-Time Feature Stores and Embedding Pipelines for Trading AI: Build Intelligent Market Systems with Pinecone, F

Paperback

Investing & Finance

ISBN13: 9798272874849
Publisher: Independently Published
Published: Nov 3 2025
Pages: 634
Weight: 1.84
Height: 1.28 Width: 6.00 Depth: 9.00
Language: English
Reactive Publishing

In the new era of financial AI, speed and intelligence define the edge. Vector Databases for Quant Finance reveals how cutting-edge data architectures, once reserved for large-scale tech, are now transforming quantitative trading and portfolio management.

This book bridges the gap between data engineering and quantitative strategy, teaching you how to build real-time pipelines that connect streaming market data to AI-driven trading models. You'll learn to design intelligent feature stores, build embedding-based similarity search systems, and integrate vector databases such as Pinecone, FAISS, and Chroma into live trading environments.

Also from

Schwartz, Alice

Also in

Investing & Finance