Check out these helpful resources on quantitative and algorithmic trading!
- 2025 QuantNet Ranking of Best Financial Engineering Programs – the 2025 QuantNet ranking of the best financial engineering, mathematical, and quantitative finance master’s programs in the US provides info on placement and admission stats.
- Python for Machine Learning in Finance – PyQuant News demonstrates how to build a Machine Learning model in Python.
- Trading 101: Understanding the Expected Value of Uncertain Bets – Kris Longmore from Robot Wealth discusses how adopting a probabilistic mindset can enhance trading decisions.
- A Setup to Trade Forex Algorithmically Using the Interactive Brokers API – José Carlos Gonzáles Tanaka reviews two Python trading setup solutions: one for intermediate to advanced Python users and the other for beginner to intermediate users. Find details in this QuantInsti story.
- Forecasting Earnings, Artificial Intelligence (AI) Versus Equity Analysts – in this Alpha Architect feature, Larry Swedroe reviews a recent paper by Shaffer and Wang that explores a method for applying LLM models to estimate earnings from annual 10-K filings.
- Developing Trading Algorithms with Python – PyQuant News explores the reasons why Python is an excellent choice for trading algorithms.
- LangChain for Equity Investment Analysis – Manusha Rao gives an overview of the LangChain application for equity analysis in this tutorial by QuantInsti.
- Don’t Trade News. Trade Market Structure – Tim Quast, the Founder and CEO of Market Structure EDGE, provides insights into the rules and mechanics of the stock market.
- Nonfarm Payrolls December 2024 – Will Klinke, Principal of Total Wealth Partners, examines the December 2024 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: 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.
Disclosure: Forex
There is a substantial risk of loss in foreign exchange trading. The settlement date of foreign exchange trades can vary due to time zone differences and bank holidays. When trading across foreign exchange markets, this may necessitate borrowing funds to settle foreign exchange trades. The interest rate on borrowed funds must be considered when computing the cost of trades across multiple markets.
Join The Conversation
For specific platform feedback and suggestions, please submit it directly to our team using these instructions.
If you have an account-specific question or concern, please reach out to Client Services.
We encourage you to look through our FAQs before posting. Your question may already be covered!