Greetings! My name is Ivan and I have specialised in identifying hidden patterns in economic development for the past three years.
My work is based on multivariate statistical analysis, enabling me to classify markets based on their actual economic behaviour rather than relying on traditional approaches. Using big data algorithms guarantees objective forecasts and exceptional accuracy in strategic positioning.
The findings presented below are based on segmenting 20 European markets according to their actual metrics, such as compound annual growth rates (CAGR), volatility and volume, rather than geography. If you require mathematical precision for your strategy and want to transform big data analytics into a dramatic increase in business turnover, contact us to gain access to customised insights and professional expertise.
Get in touch if you're interested in this topic.
Hi there,
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Ivan,
Really interesting angle on market segmentation especially the part about classifying markets based on actual behavioral metrics rather than geography. Most people still think in borders instead of patterns.
I’m quietly building something in the ads space, and one thing I keep questioning is whether we’re still thinking about channels too traditionally like “SEO vs ads vs social” — instead of looking at how demand actually behaves underneath.
-From your experience working with economic behavior patterns:
-Do you think ad distribution itself has measurable behavioral clusters?
-Is there real structural demand for smarter channel selection, or is most of it still intuition-driven?
-When you segment markets, do you see differences in how businesses acquire customers within those clusters?
I’m trying to understand whether the future of ads/distribution is just better execution or better classification.Would genuinely love your take
Hey Ivan
This caught my attention because I actually run automated trading systems on the execution side. Forex, gold, indices. I've built the infrastructure for trade execution, risk management, account management across multiple clients and broker compliance handling.
What I don't have is what you're describing. The pattern recognition and forecasting layer. I've got the engine but I'm always looking for better signal inputs.
Few ways I could see this going:
Your market insights feeding into automated execution systems
Building a dashboard or SaaS tool around your analysis methodology
Turning your forecasting into something productized that others can subscribe to
What's your current setup? Are you doing this analysis manually or do you have systems running already? And what's the end goal for you, consulting, building a product, or something else?
Would be good to chat and see if there's something here.
Chase