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Continue reading →: Resolving InaccessibleObjectException in Java 17 with OANDA v20 SDK and GsonWhile integrating the OANDA v20 SDK into a Spring Boot application for algorithmic trading, I encountered a persistent InaccessibleObjectException when running the application with Java 17. This error stems from Java’s module system restrictions introduced in Java 9 and enhanced in subsequent versions, including Java 17. In this blog post,…
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Continue reading →: Diving into Java Concurrency Models: A Self-Learner’s Journey with Fork/Join Framework and the Actor ModelConcurrency has always been a fascinating topic for me. As I delved deeper into Java programming, I realized that understanding concurrency isn’t just about making programs run faster; it’s about making them more efficient and responsive. Modern applications demand high performance, and concurrency plays a pivotal role in achieving that.…
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Continue reading →: Latency Optimization Techniques: Unlocking Performance with Lock-Free Programming, Memory Barriers, and Efficient Data StructuresIn today’s fast-paced digital landscape, the demand for low-latency systems has never been greater. Industries like finance, gaming, and high-frequency trading rely heavily on systems where every millisecond counts. A delay as minimal as a few microseconds can be the difference between success and failure, profit and loss, or victory…
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Continue reading →: Navigating Algorithmic Trading Strategies: A Comprehensive Guide to Risk, Reward, and Strategy DurationIn the fast-paced world of financial markets, algorithmic trading has become a cornerstone for traders seeking efficiency and precision. By automating trade execution based on predefined criteria, algorithms can process vast amounts of data at speeds unattainable by humans. This post delves into various algorithmic trading strategies, exploring their mechanics, assessing their…
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Continue reading →: Understanding the FIX Protocol for Algorithmic Trading: Heartbeats, Logins, and Sequence NumbersAs someone who’s relatively new to the world of algorithmic trading, I’ve been diving deeper into the behind-the-scenes processes that make real-time trading possible. One of the first things I came across is the Financial Information eXchange (FIX) protocol. It sounded intimidating at first, but as I began to explore…
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Continue reading →: My Journey into Smart Routing Strategies: Exploring Volume Weighted Average Price (VWAP) vs. Time Weighted Average Price TWAP in Algorithmic TradingOver the past few weeks, I’ve been diving into algorithmic trading, and one of the most interesting challenges I’ve encountered is the execution of large orders without influencing the market too much. As I dug deeper, two strategies kept popping up: VWAP (Volume Weighted Average Price) and TWAP (Time Weighted…
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Continue reading →: Discovering Java 21’s Multithreading Features: A Journey into Virtual Threads, Structured Concurrency, and MoreAs I dove into Java 21’s new multithreading capabilities, I found myself on an exciting learning journey. While concurrency is nothing new, Java 21 introduces some fascinating concepts like Virtual Threads and Structured Concurrency that are worth exploring. I invite you to join me as we take this step-by-step approach…
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Continue reading →: Algorithmic Trading and Benchmarking: What I’ve Learned About Strategy Development So FarAs someone diving into the world of algorithmic trading, I’ve quickly realized that there’s a lot more to building a profitable strategy than simply coding an algorithm and deploying it live. One of the most important lessons I’ve learned is the critical role of backtesting, benchmarking, and validation before taking…
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Continue reading →: The Future of Trading Platforms: AI-Driven Features That Will Revolutionize How You TradeIn today’s fast-paced financial markets, traders and developers alike are constantly seeking an edge. With advancements in artificial intelligence (AI), the future of trading platforms is looking more sophisticated, intuitive, and powerful than ever. Whether you’re a trader looking to optimize your strategies or a developer building the next-gen trading…
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Continue reading →: Why We Still Need Software Engineers: The Hidden Power of Microservices in Modern ArchitecturesIn today’s world of no-code platforms, plug-and-play integrations, and an endless array of third-party services, you might wonder if we still need software engineers to design and build complex systems. After all, can’t most applications just plug into APIs directly and get everything they need without too much complexity? Well,…
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Continue reading →: Jupyter Notebook: A Powerful Tool for Algorithmic Trading with OANDA APIDisclaimer The content of this blog post is for informational purposes only and does not constitute financial advice. Algorithmic trading involves significant risk, and past performance is not indicative of future results. Before implementing any trading strategy, please consult with a financial advisor and conduct thorough research. Jupyter Notebook is…
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Continue reading →: Anaconda Python: Your Ultimate Guide to Mastering Data ScienceIn a captivating episode of the Lex Fridman podcast, Travis Oliphant, a pivotal figure in the development of Anaconda, unveiled the journey behind this transformative platform. Anaconda has become a foundational tool in the data science ecosystem, offering a powerful open-source distribution that streamlines package management and deployment for both…
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Continue reading →: Cash vs. CFDs in Trading Algorithms: Practical Differences and Python CodeAlgorithmic trading has revolutionized the way markets operate, enabling traders to execute orders at lightning speed and implement complex strategies that are impossible to carry out manually. However, when diving into algorithmic trading, it’s crucial to understand the instruments you’re trading, particularly the difference between cash markets and Contracts for…
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Continue reading →: The Hidden Costs of Algorithmic Trading: Why They Matter and How to Calculate Themhe Hidden Costs of Algorithmic Trading: Why They Matter and How to Calculate Them In the world of algorithmic trading, the focus often lies on developing sophisticated strategies, optimizing performance, and analyzing historical data. However, there’s an element that can quietly erode profits if not carefully considered: trading costs. While…
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Continue reading →: Algorithmic Trading 101: Cash Accounts vs. Margin AccountsAlgorithmic trading has revolutionized the financial markets by automating trades based on predefined strategies. However, when venturing into this space, one crucial decision traders face is choosing between a cash account and a margin account. Both account types offer distinct advantages and limitations that can significantly impact trading strategies. This…
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Continue reading →: Understanding Market, Limit, and Stop Orders in TradingDisclaimer: The information provided in this blog post is for educational purposes only and does not constitute financial advice. Always consult with a qualified financial advisor before making any investment decisions. When it comes to stock trading, understanding the different types of orders available can make a significant difference in…
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Continue reading →: Understanding Market Limit and Stock Orders in the Context of Algorithmic TradingDisclaimer: The information provided in this blog post is for educational purposes only and does not constitute financial advice. Always consult with a qualified financial advisor before making any investment decisions. In the fast-paced world of stock trading, where every millisecond can make a difference, understanding the mechanics of market…
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Continue reading →: Understanding Netting vs. Hedging in Algorithmic TradingDisclaimer: The information provided in this blog post is for educational purposes only and does not constitute financial advice. Always consult with a qualified financial advisor before making any investment decisions. Algorithmic trading has transformed financial markets by allowing traders to execute large orders at lightning speed, minimize human error,…
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Continue reading →: Basic Concepts in Algorithmic TradingDisclaimer: The information provided in this blog post is for educational purposes only and does not constitute financial advice. Always consult with a qualified financial advisor before making any investment decisions. Algorithmic trading involves using computer algorithms to trade financial instruments automatically. Here are some essential concepts simplified with examples…
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Continue reading →: Top 10 Common Mistakes in Software Development and How to Avoid ThemSoftware development is a complex field that involves much more than just writing code. Throughout the process, developers can encounter various pitfalls that can impact the quality, performance, and usability of their software. Here are the top 10 common mistakes in software development and how to avoid them: 1. Poor…
Hello,
I’m Sean
Welcome to the Scalable Human blog. Just a software engineer writing about algo trading, AI, and books. I learn in public, use AI tools extensively, and share what works. Educational purposes only – not financial advice.
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