Dan Buckley

Dan Buckley

Dan Buckley is a US-based trader, consultant, and part-time writer with a background in macroeconomics and mathematical finance.

As a writer, Buckley tries to make trading and finance concepts more accessible to a broader audience.

He tailors his content to cater to varying levels of expertise, ranging from those starting on their trading journey to experienced traders seeking deeper insights, new ideas, or looking to translate theoretical knowledge into practical, real-world applications.

Buckley has a Bachelor of Arts degree in Economics from Harvard.

You can reach Dan Buckley on dan.buckley@daytrading.com.

Latest articles written by Dan

  1. Individual Traders (“Retail”) in the US Stock Market [Facts, Figures, Statistics]
    Blog Post (Mar 25, 2025)
    What percentage of the markets are individual retail traders vs. institutional? We take a look at various estimates and trends.
  2. Reinforcement Learning Algorithms for Trading
    Blog Post (Mar 21, 2025)
    Trading with AI? Know which RL algorithms deliver real results in risk control, portfolio rebalancing, and execution.
  3. Reinforcement Learning - Applications in Trading
    Blog Post (Mar 16, 2025)
    Reinforcement learning (RL) for traders. Discover adaptive AI that learns and optimizes, with various frameworks.
  4. Trade-Offs in Trading
    Blog Post (Mar 10, 2025)
    How do successful traders handle trade-offs? Learn the balance between risk and reward, short-term focus vs. long-term growth, and more.
  5. Multi-Armed Bandit (MAB) Methods in Trading
    Blog Post (Mar 10, 2025)
    Imagine standing in a casino with rows of slot machines, each promising different payouts. Your goal?  Maximize your winnings without knowing which machine is “hot.”  This captures the essence of Multi-Armed Bandit (MAB) problems – a framework for balancing exploration (testing uncertain options) and exploitation (leveraging known winners).  In trading, MAB methods are a capital […]

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