Be sure not to miss the latest articles on Python, IBKR API, and Algo Trading!
- Connecting Python to Excel | In the first article from the new series on customizing an Excel workbook with Python, Andrew Wise, IBKR API Support Supervisor, demonstrates how to request live market data through the API.
- Getting Started with the Interactive Brokers Native API | Founder of Robot Wealth, Kris Longmore, shows how to easily install and configure the IBKR API and retrieve account information.
- Authenticating with the IBKR Client Portal REST API | Andrew Wise presents a podcast on using the IBKR’s modern REST API to trade, monitor, and manage your IBKR account.
- A Conversation with Robot Wealth, Part Three: Ideas and Edges: Rules-Based and Collaborative Systematic Trading | In this interview, Kris Longmore shares the three core principles that anchor Robot Wealth’s approach to collaborative systematic trading: flexibility, opportunism, and finding ‘edges.’
- Blankly – Python Backtesting Guide | If you’re interested in learning about Blankly, an open-source Python backtester, check out this AlgoTrading101 post by Igor Radovanovic.
- Python: t-SNE Dimensional Reduction Technique | SHLee AI Financial Model demonstrates applications of t-SNE (t-Distributed Stochastic Neighbor Embedding) in Python.
- Breaking Bad Momentum Trends | Larry Swedroe has reviewed recent research on momentum strategies and shares his thoughts on them in this Alpha Architect article.
- QuantInsti’s tutorial “Clean, Transform, Optimize: The Power of Data Preprocessing” covers the basics of data preprocessing, offers ready-to-use Python scripts for data preprocessing, and discusses the fundamentals of data preparation and preprocessing.
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.
