• Boosting and Neural Networks

    Petar Maymounkov is one the most brilliant computer scientists of our age. At qplum's FinTech and Data Science meetup he presents techniques that can be applied to learn from a number of ideas in a scientific manner. He shows how to improve a Deep Learning approach with Boosting

  • FinTech in Investment Management

    The new investing landscape where traders are losing jobs and data scientists rule. Why is this happening? What do I need to do to have a job ten years later?

  • Investment Management using Deep Learning and Big Data

    The new investing landscape where traders are losing jobs and data scientists rule. Why is this happening? What do I need to do to have a job ten years later?

  • Choosing the right machine learning algorithm

    We will look at how representation learning is at the heart of choosing the right machine learning algorithm

  • Using deep learning to trade: Practical lessons for technologists

    What kinds of deep learning have we found useful at qplum? Technical and operational aspects of trading using deep learning. Key bottlenecks in training and inference. Software frameworks and which hardware platforms have proven most useful for those workloads. What does a deployment look like? What are the scaling challenges and key drivers of cost? How does devops work when a lot of the dev is handled by machines.

  • Ten year cycle of innovation in trading

    The next ten years are going to be about deep learning. We show what happened in the past and what were the business drivers, and how the business drivers are converging behind making investing a utility powered by Deep Learning

  • Towards the science of investing - Deep Learning

    The next ten years are going to be about deep learning. We show what happened in the past and what were the business drivers, and how the business drivers are converging behind making investing a utility powered by Deep Learning

  • Deep Learning in Trading

    The next ten years are going to be about deep learning. We show what happened in the past and what were the business drivers, and how the business drivers are converging behind making investing a utility powered by Deep Learning

  • AI and Deep Learning in Trading

    The next ten years are going to be about deep learning. We show what happened in the past and what were the business drivers, and how the business drivers are converging behind making investing a utility powered by Deep Learning

  • US household wealth index

    The US household wealth index is the right index for individual investors to compare themselves to, if they want to see how well they are investing.

  • How to invest in way to reduce the impact of taxes

    How should an investor go about maximizing their post-tax returns, and how we at qplum are helping them do it

  • Execution Algorithms

    Execution algorithms are a class of intraday trading strategies that can help an investor or a portfolio manager try to get the best available price on that day

  • Investing is a science

    In this talk, I'll present a set of ideas, some results and some quizzes that show that we have all the tools necessary to finally make investing a science and not a game or competition.

  • A.I. and Trading an evolving relationship

    We will talk about past attempts to make investing into a science and where are opportunities of Deep Learning and Artificial Intelligence based disruption in portfolio management today.

  • How to remove overfitting in trading

    The main challenge in some fields of applied data-science is to remove overfitting. We will talk about the approaches taken to reduce overfitting over the years ad the state of the art currently.

  • Top strategies in pension fund investing

    How Artificial-Intelligence, FinTech, Liability-Driven-Investing are reshaping the landscape of institutional investing

  • The evolution of trading and FPGA

    The evolution of trading, the three sources of returns in financial markets, and the state of the art in trading based on information processing. Olivier Baetz will talk about FPGA and its critical role in high speed trading infrastructure.