Utilizing Elixir for Machine Learning in Trading

Sam McDavid, a principal software engineer, shares his journey of integrating machine learning with trading using Elixir. The talk covers various aspects from choosing trading strategies, building models, and evaluating results. Sam starts by pointing out the limitations of Python in trading and moves on to discuss the application of Elixir. The presentation includes explanations on technical analysis, the process of transforming trading data into models, and techniques like reinforcement learning for optimization. Sam emphasizes the importance of consistency in strategies and the challenges in deep reinforcement learning using Axon in Elixir. The session also highlights the practical implementation through a gen server model and the evaluation of trading results.