Технические разборы стратегий, риск-менеджмента, бэктестов и архитектуры на Python. От инженера для инженеров — без воды и магии.
Получение данных, симуляция, метрики (Sharpe, max drawdown), типовые ошибки переобучения. С формулами и кодом.
Расчёт размера позиции по % от капитала, dynamic SL, R/R, защита от серий убытков. Формула Risk-USDT и position sizing.
Слои: scanner → strategy → executor → position tracker → persistence → monitoring. Разбор живого Phantom бота.
Динамический SL: ATR-based vs swing-based. Когда какой работает, формулы расчёта, примеры на Python.
Curve-fitting и как Walk-Forward Analysis отделяет рабочие стратегии от шума. Реализация на Python.
Welcome to the GuardLabs research blog, the intellectual engine room where our theories are forged, tested, and shared. This is more than just a collection of articles; it's a public-facing journal of our ongoing exploration into market dynamics, system thinking, and robust trading methodologies. Here, we move beyond the foundational concepts and delve into the nuances that separate fragile strategies from resilient ones. Our purpose is to cultivate a community of critical thinkers who appreciate the complexity of the markets and seek to navigate them with intellectual rigor. We share our findings not as definitive truths, but as well-researched perspectives intended to challenge your assumptions and deepen your own analytical framework. This is where our commitment to transparency and education takes its most tangible form.
Our content is structured around three core pillars of inquiry. First, you will find **Backtest Deconstructions**, where we don't just present results, but dissect the entire process, highlighting common pitfalls like data snooping and overfitting, and demonstrating how to design more honest historical analysis. Second, we publish **Edge Case Analyses**, which explore how systems behave under extreme duress—during flash crashes, volatility spikes, or prolonged, directionless markets. These articles stress-test the boundaries of conventional wisdom. Finally, our **System Thinking Essays** take a higher-level view, discussing the philosophies of building anti-fragile trading systems, managing model complexity, and the psychology of interacting with an algorithmic or systematic process. These essays provide the mental models for building your own robust frameworks.
The content is produced by the GuardLabs internal research team. Our group consists of individuals with backgrounds in quantitative analysis, system design, and risk management. Each article is a collaborative effort, reflecting our collective focus on empirical evidence and logical consistency. We don't feature guest posts or sponsored content; every word published here is a direct result of our own research and is held to our internal standards of quality and intellectual honesty. The goal is to provide a consistent, high-signal voice dedicated to the science of trading.
This blog is for the serious student of the market, regardless of their experience level. While a beginner might find our foundational Phantom Paper methodology a better starting point, the curious novice will find our essays accessible and thought-provoking. Experts will appreciate the nuance and rigor of our quantitative analyses. We write for those who have moved past the "get rich quick" mindset and are interested in the deeper questions of how markets work and how to build a sustainable edge. Our goal is to elevate the conversation for everyone.
No. In line with our core philosophy, we do not publish ready-to-use trading strategies or signals. Doing so would undermine our mission to foster independent thinking. Instead, you will find the building blocks and mental models necessary to construct and validate your own strategies. We teach you how to analyze, how to test, and how to think about risk. The articles provide the tools and the framework, but you, the trader, must be the architect of your own system. This approach ensures you truly own and understand your methodology.
They are two sides of the same coin. The Phantom Paper methodology, which you can read about on our main trading page, is the practical application—the "how." It's the disciplined framework for practice and execution. This blog provides the theoretical and philosophical underpinnings—the "why." The research we publish here informs the principles we teach in our methodology. The blog is where we explore the ideas, and the methodology is how we put those ideas into disciplined action. Together, they form a complete ecosystem for developing as a trader.
The blog serves as our research and development wing, where we explore new and sometimes experimental ideas. While every post is rigorously checked internally, the content should be considered research notes, not finalized, audited systems. Our core, teachable methodologies, however, undergo a much more stringent process of validation and review, which is part of our commitment to quality. You can learn more about our general approach to verification and security on our audit page, which outlines the principles we apply to all our core products and services.
We encourage readers to explore based on their interests. Use the category tags on each post to find related content, whether you're interested in backtesting, risk philosophy, or market microstructure. For a foundational understanding of our approach, we recommend starting with our core articles on system thinking. From there, you can dive into specific case studies or backtest deconstructions that catch your eye. The blog is designed for non-linear exploration, allowing you to build a mosaic of knowledge at your own pace.