Time Cycles and Astrology

Time Cycles and Astrology are often considered taboo or pseudoscientific, especially in finance, statistics, and engineering. At Fractiz, we’re not promoting traditional astrology or mystic theories, and I am not an astrologer by training. I don't claim deep expertise in classical techniques. I bring a skeptical yet curious mindset shaped by years of experience in computer science, algorithmic trading, and data analysis.

Over time, I’ve explored select features inspired by time cycles, traditional astrology, and other theories and used them as inputs to probabilistic and machine learning models. Surprisingly, some of these experiments have led to meaningful predictions, not just in market behavior but sometimes aligning with significant real-world events like economic events, geopolitical shifts, or natural disasters. These insights were mostly kept to myself or within small circles, but the patterns were compelling enough to warrant deeper exploration. After all, markets respond to more than just charts—they react to the world.

If you’re here expecting mysticism, you won’t find it.

If you’re here expecting mysticism, you won’t find it. But it's worth examining whether a mystical or mythological theory can be framed as a hypothesis and tested with real data. At Fractiz, we’re open to exploring the unconventional, finding relations, and sharing those here — so long as it's approached with transparency, critical thinking, and a commitment to data. The work here is ongoing and evolving; more evidence will be shared as the journey unfolds.

Early dismissals

I used to dismiss these theories outright, until one correlation I stumbled upon changed everything. I had to investigate. That experience sent me down a rabbit hole I couldn't ignore.

Over time, I also found that forecasts do not always work. These are forecasts and not predictions. The forecasts are probabilistic, not deterministic—just like any model. That variability is part of what makes this exploration so fascinating.

Correlation is not causation.

I'm not claiming to know the "why" behind these patterns, nor do I have the resources or training to investigate their root causes. That's not the goal.

Why do we call it Time Cycles?

I don't use conventional methods of time cycles, astrology, ancient timing techniques, or anything else. I use a subset of fundamental features, and calling them one over the other would be misleading. I work with a subset of their features, stripped of interpretive frameworks, and focus purely on their potential as time-based signals. These features are mixed, matched, and embedded into probabilistic models and machine learning systems to test for real-world relevance. That's why I prefer the broader and more neutral term "time cycles"—it reflects the essence without the baggage.

Validate everything

Whether it's a technical setup like a 3-bar reversal or a planetary conjunction, both are qualitative ideas until tested. At Fractiz, we treat every pattern—market-based, celestial, time-cycle, or something else—as a hypothesis to be validated with data.

⚠️ Disclaimer: This content is purely educational and analytical and represents my personal market analysis and trading plan. It should NOT be interpreted as trading advice, actionable signals, or recommendations. Trading involves a substantial risk of financial loss. Always perform your analysis and consult with a qualified financial advisor before making trading decisions.