Transforming Hedge Funds with Data Science & Analytics

Acuity is the leading global provider of hedge fund solutions, including hedge fund data science and analytics solutions, trusted by over 350+ asset management and private market clients. With over two decades of experience, we specialize in delivering hedge fund analytics, data science, and digital engineering services to some of the world’s largest hedge funds and financial institutions on Wall Street. Top 3 out of the top 10 global hedge funds rely on Acuity to derive Alpha and improve fund performance across their portfolio using our expertise in hedge fund data science.

We have operational expertise in managing alternative, financial, and in-house proprietary datasets. Our team is platform-agnostic and focuses on creating sustainable solutions to complex data challenges faced by hedge funds, utilizing advanced hedge fund analytics tools and strategies to drive superior investment outcomes.

Success Stories

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Strategic data production partner to a top 3 hedge fund

  • USD1.1m in annualized cost savings
  • Deployed a strong Data Validation 
Framework
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Advanced analytics and visualizations for Credit Research

  • 100% automated publishing of
model data
  • Highly scalable with improved 
quality
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Natural language processing
(NLP) for ESG investing

  • 100% Auditability
  • Automated coverage of over 
3,000 holdings
  • Global key developments updated 
within 24 hours
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ETF analytics to identify 
intraday trading opportunities

  • Dashboard for informed investment
decision making with time windows, discounts, and half-
spreads
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Why Choose Acuity for Hedge Fund Data Solutions?

25mn+

Alternative data sets delivered weekly

10,000+

Unique Investment Securities Analysed

30,000+

Companies screened for PE investment

$35 Trillion+

Combined AUM of buy-side clients

65,000+

Indices covered

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Data Science, Engineering & AI Services

Scalable data acquisition,transformation and analysis

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ACQUIRE

(Rav Data)

  • Traditional data: financial, market data, operational metrics, macro economics
  • Proprietary data: in-house data lake, subscribed data sources
  • Alternative data: individuals, business and machines
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PREPARE

(Transformation)

  • Data transformation: cleansing, structuring, enrichment, normalizing, data splitting, tagging
  • Exploratory data analysis: identify missing values, duplicates, imbalances
  • Features Engineering
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ANALYSE

(Modeling)

  • Supervised machine learning
  • Unsupervised machine
    learning
  • Deep learning
  • Natural language processing, Unstructured data mining
  • Stochastic/statistical modeling
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REPORT

(Insights)

  • Bespoke reporting: data, dashboards, data lakes, bespoke emails, reports
  • Proprietary outputs: signals on client-defined criteria, bespoke indices
  • Insights which are descriptive, diagnostic, predictive or prescriptive for various contexts

Our Technology Stack

Snowflake

Databricks

Python

AWS

Power BI

Tableau

SAS

R Programming Language

Google Cloud

Microsoft Azure

Looker Studio

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