Operational:
Automated signal generation reduced manual workload
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NDA project
AI-driven platform generating real-time trading signals for faster investment decisions.
Finance / Investment
Institutional Investment Fund
Web & Desktop
Turnkey Product Development
An Austrian institutional investment fund approached us in 2020, long before the mainstream AI hype, with a bold idea: to create a platform that empowers their traders and portfolio managers with real-time trading signals, powered by machine learning and data analytics.
The goal was to migrate the underlying logic/algorithms behind numerous Excel spreadsheets & make the system learn iteratively.
Data Fragmentation: Market data scattered across sources
Decision Latency: Manual analysis slowed reactions
Signal Trustworthiness: Recommendations required explainability
Scalable Processing: Continuous real-time data handling needed
We built a predictive analytics platform aggregating real-time and historical market data.
Proprietary ML models integrate technical and fundamental indicators, generating actionable trading signals with backtesting capabilities and cloud-scalable analytics.
3x
Python Developers
1x
DevOps
2x
Data Engineer
1x
Project Manager
1x
QA
Engineer
3x
Python Developers
1x
DevOps
2x
Data Engineer
1x
Project Manager
1x
QA
Engineer
Trading signal platform
Market data integration framework
ML prediction models
Strategy backtesting system
Buy/Sell/Hold signal engine
Cloud analytics environment
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
Automated signal generation reduced manual workload
Improved portfolio decision consistency
Contributed to higher ROI performance