About Me


I called this blog "Lucky Alex's Log," a name so steeped in irony it practically requires a hazmat suit. Because if my life has hammered home one undeniable truth, it's that waiting for luck is a spectacularly inefficient strategy. My journey has been less a stroll and more a determined, often stumbling, ascent through a dense forest of unforeseen obstacles, perfectly illustrating that timeless Russian adage: "the responsibility of saving a drowning person lies upon the drowning person."

My deep and abiding fascination with the intricate, often baffling, world of quantitative finance ignited roughly two decades ago with Forex trading. The allure was potent: a domain where your outcomes were a direct reflection of your capabilities. No navigating office politics, no depending on the whims of others – just pure skill, rigorous analysis, and the unforgiving truth of the market. This resonated deeply with my fiercely independent spirit.

Like many who first step into these turbulent waters, I was briefly seduced by the mythical sirens of instant wealth and the dubious pronouncements of self-anointed gurus. Several sharp, often expensive, lessons later, a fundamental truth became crystal clear: sustainable success is painstakingly built through relentless learning, meticulous research, and a healthy, bordering on cynical, skepticism. The fantasy of overnight riches evaporated, replaced by a commitment to genuinely understanding the market's complex rhythms.

Recognizing the inherent limitations of manual trading, particularly when starting with limited capital, I embarked on a parallel, and equally challenging, journey into the realm of programming. C# quickly became my language of choice, its structure and power aligning seamlessly with my analytical mindset. Simultaneously, my fascination with technical analysis naturally deepened into a rigorous study of statistics – the very language of market probabilities and patterns.

The emergence of machine learning presented an entirely new and captivating frontier. The potential to leverage algorithms for predictive insights in trading was an irresistible prospect, leading to a series of intensely personal projects. These ranged from the humorously misguided (a truly ill-fated attempt at cracking the lottery code) to the significantly more ambitious – including the successful development of a multistate reinforcement learning beta distribution AI from the ground up.

In recent years, my focus has laser-intensified. I've dedicated countless hours to constructing a comprehensive library of statistical tools. What's particularly noteworthy is that the vast majority of these are custom-built, often representing original approaches rather than standard implementations of well-known principles. To be completely honest, at this stage, my codebase is a testament to years of organic growth, resembling a rather enthusiastic, and somewhat disorganized, jungle. Furthermore, while I've developed an API wrapper for Bybit (skillfully leveraging their existing infrastructure to create a more extensive and tailored interface), my tools are currently more akin to highly functional prototypes than elegantly optimized solutions. Yet, against all odds, this intensely personal and somewhat chaotic endeavor has begun to yield a glimmer of consistent profitability.

This blog, "Lucky Alex's Log," will serve as a brutally honest chronicle of this ongoing expedition into the world of algorithmic trading. Here, I will rigorously test and backtest a variety of trading strategies, meticulously dissecting the often-messy results as I strive to transform them into robust, automated algorithms. Beyond the technical deep dives, I'll also share unfiltered glimpses into my personal experiences, as well as my often-cynical yet hopefully insightful, observations on the broader crypto landscape – including the ever-present scams and the occasional genuinely promising idea. Who knows what other unexpected paths this log might take?

So, if you're intrigued by the messy reality behind the pursuit of data-driven trading, appreciate a healthy dose of self-awareness (and perhaps share a similar history of life throwing curveballs), then stick around and witness, against all odds, whether this collection of custom-built, slightly chaotic prototypes, including a fully developed reinforcement learning AI, can evolve into a consistently profitable endeavor. You might just glean some valuable insights from my inevitable stumbles – or at the very least, find a kindred spirit in navigating the often-unlucky realities of this world.

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