Proxy index modeling platform hero

NDA project

Proxy Index
Modeling Platform

Web-based analytics platform for building proxy indices and modeling risk exposure using custom weighting, correlations, and financial indicators.

Industry

Finance / Investment

Country

Austria

Platform

Web

Partnership model

Turnkey Product Development

Client Context

The client needed a flexible analytical tool to model and replicate market indices using custom-selected financial instruments.

Traditional tools lacked transparency and flexibility, making it difficult to experiment with different compositions, evaluate risk exposure, and adjust strategies dynamically.

Challenge

  • Operational Pain: Manual and time-consuming index modeling processes

  • Technical Limitation: Need for dynamic calculations across multiple time intervals and datasets

  • Business Risk: Limited ability to test and validate investment hypotheses

  • Analytical Complexity: Handling correlations, deviations, and financial indicators in one system

Proxy index modeling platform demo

Solution

The system allows users to select financial instruments, assign weights across custom time segments, and model index behavior against a chosen benchmark. Data is processed through analytical pipelines that calculate correlations, deviations, and volatility indicators.

The architecture combines data processing with visualization, enabling users to iteratively refine index composition and immediately evaluate the impact of their decisions.

Team

  • 3x

    Developers

  • 1x

    Project Manager

  • 1x

    QA
    Engineer

  • 3x

    Developers

  • 1x

    Project Manager

  • 1x

    QA
    Engineer

What We Delivered

  • Interactive web application for proxy index creation

  • Visualization layer for index performance and indicators

  • Financial data processing and analytics engine

  • Custom weighting and time segmentation functionality

  • Correlation and deviation analysis module

Timeline & Cost

Full breakdown is available under NDA

Discovery & Planning: 3–4 weeks

Architecture & Design: 4–6 weeks

Development: 4–6 months

Total Timeline: ~6–8 months

Discovery Phase: $25K–$40K

Design & Architecture: $40K–$70K

Development: $180K–$320K

Total Investment: $300K–$450K

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Impact & Results

Operational:

Reduced time required to construct and test custom indices

Technical:

Established a flexible data processing system supporting complex financial calculations

Business:

Enabled faster validation of investment strategies and risk scenarios

Technology Stack

  • Python
  • Pandas
  • Scikit-learn
  • Flask
  • Dash
  • and more...

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