IBKR Webinars – Quant and Machine Learning Presentations

Articles From: Interactive Brokers
Website: Interactive Brokers

Quant Innovation

Check out IBKR’s extensive collection of Quant and Machine Learning webinar recordings.

Find insights on backtesting quant strategies using the IBKR’s TWS API, Big Data, statistics in trading, and use cases of ML techniques. In addition, learn about automation of trading strategies using technical analysis, cloud computing investment opportunities, and the BioRevolution.

Follow the links below to view presentations by the following contributors:

Watch Quant and Machine Learning Presentations

Interactive Brokers is not affiliated with the above mentioned presenters and does not endorse or recommend any information or advice provided by them.

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: 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.