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VAST Data Platform for Quantitative Trading

An Engine for Alpha Generation

A new class of trading strategies has emerged that relies on enriched market data, alternative data, and large-scale simulations to enable predictive trading.

 

The VAST Data Platform delivers the scale, performance, and ease of management to empower trading teams to understand market dynamics by analyzing vast reserves of data.

The VAST Data Platform is built on an edge-to-cloud architecture that delivers unified structured and unstructured data services where the power of a parallel file system with the simplicity of a NAS meets the scalability and affordability of a data lake.

New trading strategies require a holistic view of data at massive scale

Trading teams rely on algorithms that require fast access to vast amounts of data to predict and capitalize on market events.

 

In addition to traditional market data, trading desks also use synthetic data to train machine learning models, and new markets like cryptocurrency are generating even more data.

The VAST Data Platform brings a radical new approach to this challenge, where unstructured and structured data are fully synthesized on a unified architecture to extract insights from massive data sets.

 

The VAST DataBase is an exabyte-scale transaction and analytical system that provides flash-optimized queries across massive data sets.

 

Researchers gain the agility to discover correlations over unstructured and structured data to predict and understand market conditions like never before.

Accelerate Complex Queries

The VAST DataBase plugins accelerates queries by up to 100X*

 

Plugins available for Spark, Trino, Dremio, and additional query engines plus native SQL and analytics applications.

Point of comparison: VAST DataBase + Spark vs. Spark + S3

Please visit our Vast Data Platform page to view VAST Data’s introduction to the VAST Data Platform as well as videos that explain in detail the VAST DataStore, DataBase, DataEngine and DataSpace.

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Trusted by the world’s leading quantitative and systematic trading teams

PDF – Blog Post - G-Research + VAST Data

G-Research, a quantitative finance research firm, builds a bigger crystal ball with the performance and scale of the VAST Data Platform.

 

A new class of trading strategies has emerged that relies on enriched market data, alternative data, and large-scale simulations to enable predictive trading.

 

The VAST Data Platform delivers the scale, performance, and ease of management to empower trading teams to understand market dynamics by analyzing vast reserves of data.

 

By marrying massive AI infrastructure with massive datasets to understand market dynamics, G-Research can now predict and capitalize on market events before they happen.

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VAST + Aquatic Capital Management

Aquatic Capital Management is using applied research and AI to build investment strategies that rely on algorithms that can quickly access large amounts of data to predict and capitalize on market trends.

 

Aquatic turned to VAST Data and its ability to synthesize structured and unstructured data in a unified architecture that could extract insights from massive datasets.

 

How is this changing the world of investing? What data problems is the company facing and how is VAST helping power its business?

Jump Trading + VAST Data — Enabling Cutting Edge Machine-Learning Models for Algorithmic Trading

Jump Trading Group uses VAST’s highly performant, low-latency Universal Storage to feed more data into its algorithms and make more informed trading decisions.

 

VAST Data completely changes the economics of flash storage. Data access accelerates and application performance improves enabling financial institutions to quickly process market data and AI data sets at any scale.

The VAST Experience: High-Performance Quantitative Trading and Research

VAST Data’s Universal Storage is a data storage platform that combines high-performance storage with low-cost, scalable capacity.

 

The platform is designed to support a wide range of workloads and use cases, including HPC, quantitative trading, bioinformatics, and large-scale computational resources.

 

In this video, Vegim Begolli, CIO, and Tony Mellios, Infrastructure Engineer at a leading Quant Trading firm talk about breaking the tradeoff between performance and capacity for any workload with VAST's Universal Storage.

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