Development of an analytical system for real-time tracking of prices and supply in the natural resources sector.
Client: Investor Consortium
Duration: 6 months
Technologies: Python, APIs, Dashboards
Active investors lacked access to a clear and prompt synthesis of disparate data from global commodity markets. Decisions were made based on delayed weekly reports, missing rapid arbitrage opportunities.
We designed a platform that automatically aggregates data from open sources and market APIs, transforming it into visual indices and intelligible trends. We emphasized financial discipline through customized filters for each user's risk profile.
We implemented a Python backend for collecting and cleaning data from over 15 primary sources. The interface provides interactive stock charts and a main "data stream" that highlights anomalies and correlations between different resources (e.g., copper and energy).
Key result: Subscribers of the newsdailydiet platform can now identify trends 70% faster and can configure alerts for specific volatility thresholds.
Back to ProjectsOur team of analysts transforms raw data into actionable insights for natural resource markets.
With over 12 years in commodity cycle analysis, Alexandra anticipates structural shifts in supply and demand for critical minerals.
Monitors investment movements in renewable energy and infrastructure, identifying funding trends one quarter in advance.
Specialized in the impact of political decisions on global supply chains, with a focus on Eastern Europe and Central Asia.
We collaborate for informed financial discipline.
For specific questions about our methodologies, contact us at info@newsdailydiet.com