{"id":232645,"date":"2025-10-27T12:10:44","date_gmt":"2025-10-27T16:10:44","guid":{"rendered":"https:\/\/ibkrcampus.com\/campus\/?p=232645"},"modified":"2025-10-27T12:18:09","modified_gmt":"2025-10-27T16:18:09","slug":"ibkr-quant-blog-highlights-from-october-2025","status":"publish","type":"post","link":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/ibkr-quant-blog-highlights-from-october-2025\/","title":{"rendered":"IBKR Quant Blog Highlights from October 2025"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">This resource presents examples involving Python, R, and data analysis using real-world scenarios.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/principal-component-analysis-pca-a-crucial-tool-in-data-classification\/\">Principal Component Analysis (PCA): A Crucial Tool In Data Classification<\/a> &#8211; Roberto Delgado&nbsp;Castro explains how PCA reduces the complexity of large datasets, uncovers hidden patterns, and streamlines data for Machine Learning applications.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/quant-systematic-trading-vs-discretionary\/\">Quant Systematic Trading vs Discretionary<\/a> &#8211; Kris Longmore from Robot Wealth provides insightful comparisons between traditional discretionary trading strategies and the increasingly popular, data-driven systematic approaches.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/build-a-pairs-trading-strategy-in-python-a-step-by-step-guide\/\">Build a Pairs Trading Strategy in Python: A Step-by-Step Guide<\/a> &#8211; Databento explains data extraction and how to implement a pairs trading strategy using Python.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/mastering-technical-analysis-with-python-tools\/\">Mastering Technical Analysis with Python Tools<\/a> &#8211; PyQuant News presents a practical guide to technical analysis using Python, featuring step-by-step coverage of moving averages, RSI, and MACD indicators.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/return-causality-among-cryptocurrencies-evidence-from-a-rolling-window-toda-yamamoto-framework\/\">Return Causality among Cryptocurrencies: Evidence from a Rolling Window Toda\u2013Yamamoto Framework<\/a> &#8211; Tribhuvan Bisen and Shubham Pandey (Quant Insider) examine the causal relationships among six major cryptocurrencies, shedding light on market dynamics and interconnections.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/when-llms-go-abroad-why-u-s-ai-models-are-too-optimistic-on-chinese-stocks\/\">When LLMs Go Abroad: Why U.S. AI Models Are Too Optimistic on Chinese Stocks<\/a> &#8211; Elisabetta Basilico (Alpha Architect) investigates whether U.S.-developed Large Language Models tend to produce more optimistic forecasts for international stocks.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/documenting-your-code-in-r-quick-glimpse-and-best-practices\/\">Documenting Your Code In R: Quick Glimpse And Best Practices<\/a> &#8211; Roberto Delgado Castro shares that effective code documentation bridges the gap between human understanding and machine instructions.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/a-golden-opportunity-to-upgrade-a-60-40\/\">A Golden Opportunity to Upgrade a 60\/40?<\/a> &#8211; Wesley Gray, Ph.D. (Alpha Architect CEO), explores the potential benefits of incorporating gold into the classic 60\/40 stock-bond portfolio, aiming to enhance diversification and returns.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/ethical-implications-of-ai-in-finance\/\">Ethical Implications of AI in Finance<\/a> &#8211; PyQuant News discusses the growing influence of AI in financial markets and raises important questions about the ethical challenges that come with its widespread adoption.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/reproducible-quantitative-research-beyond-pure-mcp-workflows\/\">Reproducible Quantitative Research \u2013 Beyond Pure MCP Workflows<\/a> &#8211; Deltaray examines the evolving landscape of quantitative research, highlighting the difficulty of reproducibility as autonomous AI agents accelerate workflows but may obscure transparency.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/options-indicators\/\">Options Indicators<\/a> &#8211; Visual Sectors presents a case study using the Accumulation Change Indicator (ACI) to evaluate overall equity sentiment. The method integrates delta-adjusted open interest to classify market sentiment as bullish or bearish.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This resource presents examples involving Python, R, and data analysis using real-world 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