Don’t miss these recent articles on Python, Algo Trading, Data Science and R!
- Automation of Trading: 7 Things to Keep in Mind While Building Your Program. IBKR API expert Yassine Raouz outlines essential items to consider when building an Algo Trading program.
- Power Couple: Prop Trading & Education. Robot Wealth Part 1. Our contributing writer, Burt Shulman, interviews Kris Longmore, CEO of Robot Wealth, on combining his passions for the markets, tech and teaching, and why he and cofounder James Hodges wear Hawaiian shirts when they trade.
- Wrapping C Code in an R Package. Jonathan Carroll provides step-by-step instructions on building an R package and then demonstrates how to wrap C code around it.
- Quantitative Value Investing Strategy in Python – Part I. The QuantInsti team reviews terms used in quantitative value investing such as Price-to-Earnings (P/E) Ratio, Return on Equity (ROE) and Price-to-Book (P/B) Ratio, and shows practical examples of using Python in this context.
- Mastering Python Linters: A Guide for Developers. In this AlgoTrading101 story, Igor Radovanovic elaborates on Python Linters and how they can transform your code.
- Johansen Cointegration Test: Learn How to Implement it in Python. This tutorial from QuantInsti talks about key properties of Johansen cointegration test and then delivers a demo on implementing it in Python.
- Rudder Casting: Defining the Heart of a Data Warehouse. Roberto Delgado Castro discusses defining the center of a Data Warehouse.
- Do Polluters Earn Higher Expected Returns? Yes. Tommi Johnsen, Ph.D., shares insights on the impact of industrial pollution on market pricing. Read more in this Alpha Architect blog feature.
- Nonfarm Payrolls December 2023. Will Klinke, Principal at Total Wealth Partners, offers monthly insights on the nonfarm payrolls.
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.
The views and opinions expressed herein are those of the author and do not necessarily reflect the views of Interactive Brokers, its affiliates, or its employees.
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.
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.
