✨Algorithmic Trading Theory and Practice - A Practical Guide With Applications On The Vietnamese Stock Market

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Whether you are an individual investor, a hedge fund manager, a financial advisor, or a quantitative trader, everyone who participates in the financial markets faces a universal challenge: making investment decisions - what to buy or sell and when to act. But how do we make those decisions? Are they driven by instinct, emotion, a blend of technical indicators, macroeconomic analysis, broker reports, intrinsic value calculations, or even complex mathematical models? Regardless of the method, one thing is clear: when we act, we do so with a belief, the belief that our decision will lead to a favorable outcome. At the very least, we hope it will yield a meaningful return. And yet, after thousands of trades and countless hours of testing, many begin to ask an insightful question: Are our decisions truly based on substance, or are we simply making arbitrary guesses wrapped in sophistication? At ALGOTRADE, we faced the same doubts for years. But instead of relying on intuition, we turned to science. We asked: Can we improve the accuracy of investment decisions for future performance through structured, data-driven methods? Surprising? Perhaps. But yes, we mean what we say: future, not past. After numerous iterations and no shortage of costly mistakes, we found it possible. By applying techniques from data science and statistical modeling, we discovered that certain investment strategies can indeed produce consistent profits under forward-looking conditions. But this insight led to a second, even more ambitious question: If we can verify a strategy's effectiveness, can we automate the entire investment process, like building a self-driving car for trading? Again, the answer was yes. This book is the result of that journey. We attempt to distill and share the essential knowledge and practical experience we have gained, centered around four core pillars: 1 How to form a trading hypothesis, based on measurable edges and clear prerequisites, to increase your probability of success. 2 How to verify the potential of a trading strategy with a high degree of statistical confidence. 3 How to fully automate the execution of a strategy in real-world markets. 4 How to implement these concepts using PLUTUS, the open-source algorithmic trading framework developed by us, including real examples we have built and refined, so that you can apply them directly. We wrote this book not just to share what we have learned, but to invite you into the process. We hope it will challenge your thinking, improve your systems, and help you develop an algorithmic trading mindset grounded in logic, data, and reproducibility. Above all, we look forward to hearing from you, your feedback, your ideas, and your experiences. The ALGOTRADE Team

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Algorithmic Trading Theory and Practice - A Practical Guide With Applications On The Vietnamese Stock Market

Whether you are an individual investor, a hedge fund manager, a financial advisor, or a quantitative trader, everyone who participates in the financial markets faces a universal challenge: making investment decisions - what to buy

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