Category: Events

Events

Your guide to events we host and sponsor around the D.C. area.

Nov 11th, 2020 - Essential Mathematics for Quant Finance with Chris Conlan

Register for the webinar with Zoom: https://us02web.zoom.us/webinar/register/WN_SCI-KimrQd2jbS7FZbVMAg The Bethesda Data Science Meetup is back and going virtual. This is the sixth in a series of whiteboard lectures on quant trading. We will build a knowledge graph of essential mathematical concepts in quantitative finance to help you fill any gaps and discover … Read more ...

Oct 29th, 2020 - Non-parametric Methods in Trading Simulation

Register with Zoom: https://us02web.zoom.us/webinar/register/WN_wYA6erZbT4W3dqS3_FwUWg The Bethesda Data Science Meetup is back and going virtual. This is the fifth in a series of whiteboard lectures on quant trading. We will talk about how to run non-parametric statistical tests on your trading strategy to determine if it is any good. Common non-parametric methods … Read more ...

Oct 15th, 2020 - Introduction to Computational Efficiency with Python

Register with Zoom: https://us02web.zoom.us/webinar/register/WN_b6MYC_A2T9mtVC4WvniZYA The Bethesda Data Science Meetup is back and going virtual. This will be a crossover lecture in our weekly quant trading series. When dealing with large financial data, it is very important to write efficient algorithms. We will talk about how to write efficient algorithms, how to … Read more ...

Oct. 8th, 2020 - Designing a Trading Strategy Simulator

RSVP and get details on Meetup.com This will be the third in a series of lectures on quant trading. Last week, we talked about how to measure risk-adjusted return in a consistent and comparable fashion. This week, we will talk about how to simulate the performance of a strategy, thus … Read more ...

Sept 24th, 2020 - Quant Trading: The Absolute Basics

RSVP and get detail on Meetup.com The Bethesda Data Science Meetup is back and going virtual. This will be the second in a series of whiteboard lectures on quant trading. We will start by covering various trading performance metrics and statistical properties of financial time series. A lot of the … Read more ...

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