Join Jonathan Regenstein, Director Financial Services, RStudio, for a presentation on R applications in trading. Visit IBKR YouTube Channel: https://youtu.be/krdgh0e2t6g
Required R Packages: Tidyverse, PerformanceAnalytics, PortfolioAnalytics, TTR, tidyquant, quantmod, xts, ggplot2, plotly, leaflet
Description: R is one of the fastest growing open-source statistical programming languages in the financial world. In this webinar, we will create and code a real (but simple) trading strategy in order to explore R’s data import, wrangling, visualization and modeling tools. The goal is to introduce the general framework and flexibility of the R ecosystem, along with the principles of tidy data as applied in finance. It is not necessary to have any experience with R or programming but attendees should have the desire to dig into data and code.
Sponsored by: RStudio
Speaker: Jonathan Regenstein, Director Financial Services, RStudio
Disclosure: Interactive Brokers
The analysis in this material is provided for information only and is not and should not be construed as an offer to sell or the solicitation of an offer to buy any security. To the extent that this material discusses general market activity, industry or sector trends or other broad-based economic or political conditions, it should not be construed as research or investment advice. To the extent that it includes references to specific securities, commodities, currencies, or other instruments, those references do not constitute a recommendation by IBKR to buy, sell or hold such investments. This material does not and is not intended to take into account the particular financial conditions, investment objectives or requirements of individual customers. Before acting on this material, you should consider whether it is suitable for your particular circumstances and, as necessary, seek professional advice.
Disclosure: Order Types / TWS
The order types available through Interactive Brokers LLC’s Trader Workstation are designed to help you limit your loss and/or lock in a profit. Market conditions and other factors may affect execution. In general, orders guarantee a fill or guarantee a price, but not both. In extreme market conditions, an order may either be executed at a different price than anticipated or may not be filled in the marketplace.