Don’t miss these articles on R, Python, Data Science and Machine Learning trends!
- “Why Should I Use R: The Excel R Data Wrangling Comparison: Part 1” – Jumping Rivers.
Amieroh Abrahams demonstrates a comparison between Excel and R for data wrangling. - Our new community page lists upcoming R and Data Science events: /campus/ibkr-quant-news-upcoming-quant-conferences/
- “Hyperparameters: Optimization and Tuning for Machine Learning” – QuantInsti. Chainika Thakar discusses categorization of hyperparameters for training Machine Learning models and offers specific examples on how to tune them.
- “Artificial Intelligence: the Past, the Present and the Future” – Alpha Architect.
Elisabetta Basilico, PhD, CFA, reviews a paper on the brief history of artificial intelligence. - “Nonfarm Payrolls February 2023” – Total Wealth Partners. Will Klinke, Principal, writes about the nonfarm payrolls for February 2023.
- “Exploring the finnhub.io API” – Robot Wealth. Kris Longmore, founder of Robot Wealth, explores the finnhub.io API.
- “Algo Trading with ChatGPT” – QuantInsti. Varun Pothula goes over some basic ChatGPT concepts and offers examples of its applications in Algorithmic Trading.
- “Data Science Mental Models – Optimizing your Thinking and Decision-Making” – AlgoTrading101. Igor Radovanovic shares his experience working with Data Science mental models and offers insights on how to optimize your thinking and decision-making.
- “Generalized Least Squares (GLS) Estimator” – SH Fintech Modeling. Learn about the generalized least squares (GLS) estimator with this tutorial.
- “Four Ways to Reverse a String in R” – TheAutomatic.net. Examine some of the methods such as base R commands and R packages.
- “Concurrency and the TWS Python API” – Interactive Brokers. This practical Python tutorial helps you learn about the concurrency concept, which is a process when several operations take place at the same time.
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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.
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Disclosure: API Examples Discussed
Throughout the lesson, please keep in mind that the examples discussed are purely for technical demonstration purposes, and do not constitute trading advice. Also, it is important to remember that placing trades in a paper account is recommended before any live trading.
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.
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