TimeCopilot: Open-Source Agentic Framework for Financial Time Series Forecasting
Published 7 Nov 2025 ยท arXiv
Key Points
- First open-source agentic framework combining Time Series Foundation Models (TSFMs) with Large Language Models (LLMs)
- Automates complete forecasting pipeline: feature analysis, model selection, cross-validation, forecast generation
- Provides natural language explanations and supports direct queries about future predictions
Implications
Reduces technical barriers for BFSI professionals to implement advanced forecasting without deep ML expertise.
Action Required
Evaluate framework for risk modelling, demand forecasting, and market prediction use cases.
functional_specialist researcher executive global peer-reviewed-paper