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The AI Podcast

Ep. 26: Deep Learning Promises to Bring Algorithmic Investing Smarts to the Rest of Us

Jun 14, 2017
Gaurav Chakravorty, co-founder and head of trading at Qplum, shares insights on democratizing algorithmic investing. He discusses how machine learning can empower everyday investors, breaking down complex concepts into accessible strategies. The conversation highlights the shift from traditional methods to advanced algorithmic trading, addressing challenges and transformative potential. Gaurav emphasizes the importance of transparency in finance and critiques high fees, advocating for deep learning as a game-changer that levels the playing field in investing.
22:00

Podcast summary created with Snipd AI

Quick takeaways

  • Gaurav Chakravorty underscores the transformative power of machine learning in investing, shifting from intuition-based to data-driven decision-making for greater accuracy.
  • The potential democratization of algorithmic trading through deep learning could level the investing playing field, enhancing access to advanced financial tools for all investors.

Deep dives

The Role of AI in Finance

Artificial intelligence is well-suited for the finance and investing industry due to the vast amounts of data available for analysis. This environment allows algorithms to make sense of complex data sets and make informed trading decisions. Gaurav Chakravorty highlights how his journey with machine learning transformed traditional investing, especially emphasizing the shift from intuition-based decisions to data-driven approaches. His success with algorithmic trading, generating over $1.4 billion, illustrates the potential of AI to revolutionize finance by enabling more precise and rapid responses to market changes.

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