Be sure to read these dev tutorials and FinTech articles!
Programming Topics
- R
- Pivot Tables in R For Financial Analysis of Public Trusts in Costa Rica – Roberto Delgado Castro presents an R programming model that analyzes official financial statements of trusts to output financial scores for each trust.
- How to Run R from the Task Scheduler – Find out how to run R from the Task Scheduler with this story by TheAutomatic.net.
- Python
- Random Forest Algorithm In Trading Using Python – Chainika Thakar from QuantInsti discusses decision trees and random forest algorithms for trading in Python.
- Portfolio Data and Account Information via the Python API – Learn how to retrieve portfolio data and account information via the IBKR Python API.
- Dplython…dplyr for Python! – TheAutomatic.net talks about dplython, a Python package similar to dplyr.
- Python: Download Stock Prices Using the yfinance Package – SHLee AI Financial Model presents how to retrieve stock prices using Python.
- Java
- How to Use Obba for a Link between Java and Excel – Sang-Heon Lee demonstrates Obba – a Java object handler for Excel spreadsheet applications.
FinTech Articles
- Slippage in Model Backtesting – Dr. Pawel Lachowicz, Quant at Risk, shares practical tips and insights on slippage in model backtesting.
- How to Start a Hedge Fund – Chainika Thakar from QuantInsti provides an overview of the hedge fund industry and outlines steps to start a hedge fund.
- Does Investing in a More Concentrated Fund Result in Better Performance? – Tommi Johnsen, Ph.D., looks at a study on fund concentration. Read about it in this Alpha Architect featured story.
- What is Quantamental? 3 Techniques to Investing – Lucas Liew, AlgoTrading101, explores 3 categories of quantamental techniques.
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: 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: Hedge Funds
Hedge Funds are highly speculative, and investors may lose their entire investment.
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