Get a practical, one-sitting blueprint for using advanced predictive analytics to forecast market trends and guide trading strategies. This micro course connects the dots between deep learning, large language models, and real-time signal processing, showing how to integrate multiple data streams into sharper, faster market insights. You’ll see how neural networks handle complex time series forecasting, how LLMs extract actionable signals from economic news, and how reinforcement learning adapts strategies in volatile environments. Finish with an action plan for applying these techniques directly to your trading or investment workflows.
You’ll learn how to:
- Build advanced time series forecasts with deep neural networks
- Use large language models for economic news summarisation and signal extraction
- Combine multiple data sources with multimodal market signal fusion
- Apply reinforcement learning in highly volatile market conditions
- Generate real-time sentiment and event-driven trading signals
Who it’s for: Traders, quantitative analysts, portfolio managers, data scientists, and financial strategists who want a concise, actionable guide to AI-powered market forecasting.