Where AI Meets the Markets
Exploring how Artificial Intelligence can forecast the future of financial markets.
There’s something exciting about starting fresh — a new chart, a new dataset, a new idea.
After more than a decade building intelligent systems that personalize learning for millions of students, I’m returning to one of my first passions: financial markets. But this time, I’m bringing along everything I’ve learned about machine learning, data science, and artificial intelligence.
Why this, why now
I’m an entrepreneur, engineer, and AI researcher, with a master’s in Artificial Intelligence. Over the past years, I’ve built educational platforms powered by adaptive learning and gamification — impacting over 1 million students.
But before education technology, I was fascinated by the financial markets. I’ve invested in stocks, derivatives, and options. I loved the logic, the psychology, and the mathematics behind price movements.
Now, as I dive deeper into the crypto world, I see an opportunity to merge both sides of my life: AI + Finance.
That’s why I’m launching Market Price Predictions: a space to explore how machine learning, neural networks, and large language models can help us better understand — and perhaps anticipate — market behavior.
What to expect here
This publication is both a research log and a learning journey.
Each week, I’ll share analyses, forecasts, and insights powered by AI models — especially foundation models for time series forecasting, such as Chronos (by Amazon Science), and other neural approaches.
Here’s what you can expect:
Weekly Forecast Reports
Predictions for major assets — starting with Bitcoin, Ethereum, Solana, XRP, and Hyperliquid — across different horizons:
7 days
1 month
3 months
6 months
12 months
I'm starting with these assets because they are what I'm investing right now. If you want more, such as stocks, just ask me in the comments!
Transparent Backtesting
Every forecast will be tracked and compared with real market data — so you can see how accurate the predictions were, not just in theory but in practice.
Methodological Insights
I’ll explain how the models are built, the data used, and the math behind the predictions — for readers who love to understand what’s under the hood. And because I'm a nerd who likes talking about this stuff.
Research, Not Financial Advice
This is a space for analysis, curiosity, and experimentation. I’m not a financial advisor. My posts are for educational and research purposes — but if you’re into quantitative thinking, AI, or investing, you’ll feel right at home.
The community I want to build
Market Price Predictions is for those who are curious about the intersection of intelligence and markets:
Traders who want a data-driven edge
Investors looking for insights
Quant analysts and researchers experimenting with models
Machine learning engineers exploring real-world forecasting
I’ll also use this space to document my own progress — what works, what fails, and what I learn along the way.
If you’ve ever wondered how far AI can go in predicting market dynamics, this is your front-row seat.
And if you know someone who might enjoy it, share it — it helps more than you think.