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4min chapter
Ep. 26: Deep Learning Promises to Bring Algorithmic Investing Smarts to the Rest of Us
The AI Podcast
From Theory to Practice in Algorithmic Trading
This chapter explores the transition from theoretical concepts in algorithmic trading to their practical application using machine learning and regression techniques. It details the journey of building predictive models from historical data, culminating in strategies that effectively identify market inefficiencies.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode