Operational:
Reduced time required to construct and test custom indices
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NDA project
Web-based analytics platform for building proxy indices and modeling risk exposure using custom weighting, correlations, and financial indicators.
Finance / Investment
Austria
Web
Turnkey Product Development
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.
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
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.
3x
Developers
1x
Project Manager
1x
QA
Engineer
3x
Developers
1x
Project Manager
1x
QA
Engineer
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
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
Share a few details — we'll map scope, timeline, and cost
Reduced time required to construct and test custom indices
Established a flexible data processing system supporting complex financial calculations
Enabled faster validation of investment strategies and risk scenarios