Check out these recent articles featuring tips and news on R, Python, quant and algo trading!
- A Step by Step Guide to Write an R package That Uses C++ Code (Ubuntu): Mauricio Vargas Sepulveda from Pacha.dev delivers a tutorial on how to write an R package that uses C++ code (Ubuntu):
- 6 Packages for Using R in Finance: Find insights on the echoice2, bidask, hofa, IBrokers, rsims and portfolio.optimization packages.
- Submergence: A Tool to Assess Drawdowns and Recoveries: In this Alpha Architect story, Elisabetta Basilico, PhD, CFA, explores the history of drawdowns and recoveries.
- How to Rebalance Smart Beta Strategies Smarter: Quantpedia explores the importance of rebalancing Smart Beta strategy.
- VectorBT – An Introductory Guide: in this AlgoTrading101 featured article, Igor Radovanovic discusses VectorBT, an open-source Python library for quant analysis and backtesting.
- Neural Network In Python: Types, Structure And Trading Strategies – Part II: Chainika Thakar from QuantInsti provides guidance on how to train a neural network.
- Why Defining Constants Is Important – a Python Example: Andrew Treadway, TheAutomatic.net, demonstrates a practical example on this topic.
- Python: Split a 2d Array Vertically and Convert It into a 3d Array: Sang-Heon Lee, SH Fintech Modeling, shows how to split a 2d array into subsets of 2d arrays and convert them into a 3d array.
- Nonfarm Payrolls April 2023: Will Klinke, Principal at Total Wealth Partners, offers insights on the nonfarm payrolls for April 2023.
- Watch our API tutorials to learn about assorted functionalities in Excel, Python and R:
- Check out these webinar recordings for trends in AI, TA and algo trading:
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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: TOGGLE Relationship with IBKR
IB Global Investments LLC, a subsidiary of Interactive Broker Group Inc., the parent company of Interactive Brokers LLC, is a minority owner of Toggle AI.
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: Displaying Symbols on Video
Any stock, options or futures symbols displayed are for illustrative purposes only and are not intended to portray recommendations.
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: R API Disclosure
This software is in no way affiliated, endorsed, or approved by Interactive Brokers or any of its affiliates. It comes with absolutely no warranty and should not be used in actual trading unless the user can read and understand the source. IBrokers is a pure R implementation of the TWS API.
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