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Forecasting pipelines across market and economic data
Built as part of Quantura, my forecasting and research product. I implemented a shared data workflow for Alpaca, Dukascopy, Gemini, Treasury Fiscal Data, World Bank Data360 and BigQuery public datasets.
The work covers provider discovery, series selection, timestamp and unit normalization, observed-history downloads, six forecast quantiles and scheduled execution. Data coverage and model requirements remain explicit, and missing observations are not invented.
Deliverables include Python/TypeScript integrations, JSON/CSV exports, asynchronous job handling and chronological historical evaluation.
I can build a similar workflow for your supported time-series data, with clear inputs, milestones and operating costs.
Explore: https://quantura.studio/
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