Research-driven market intelligence across financial markets — combining technical and fundamental analysis with AI-powered insights across TradFi, CeFi, and DeFi. Backed by hands-on experience in investing and trading, alongside extensive knowledge in the IT-Tech sector.
| Asset Class | Allocation | Sector / Industry | Weight | |||
|---|---|---|---|---|---|---|
| Equities | 68% | Aerospace-Defense | 42% | |||
| Commodities | 11% | Robotics-AI-UAM-AAM | 25% | |||
| Forex | 4% | Energy | 16% | |||
| ETF | 2% | Software-AIP | 12% | |||
| CFD | 2% | Hardware | 3% | |||
| Other / $ | 13% | Other | 2% |
Sector / Industry Mix
| Sector / Industry | Weight | |
|---|---|---|
| Aerospace-Defense | 42% | |
| Robotics-AI-UAM-AAM | 25% | |
| Energy | 16% | |
| Software-AIP | 12% | |
| Hardware | 3% | |
| Other | 2% |
Allocation Note
Companies make acquisitions or expand their product offer, which means that their sector of activity is not always consistent or updated with the actual state and to some extent they operate outside the area initially defined becoming sufficiently diversified. Allocation may be aggressive or defensive depending on market realities and micro-macro events.
Equities, stocks, exchange-traded funds, contracts for difference and index funds.
Forex, major, minor currency pairs around the world.
Regulated exchange-traded digital assets, financial services and platforms operated by centralized entities.
Precious metals, energy and agricultural futures.
Blockchain-based financial system, crypto, peer-to-peer, DeFi tools
Monitoring spanning European and North American - sessions overlap.
Core Pillars
Higher timeframe analysis (H4, D1, W1) to confirm primary market direction and sector rotation.
Entries triggered by confluence of key technical levels, fundamental catalysts and sector alignment.
Preserving capital through diversification, position sizing, price targets and stops.
Central bank policy, earnings cycles, geopolitical developments and macro sentiment form the fundamental background.
No emotion or attachment, making decisions based on logic and valid arguments.
Ongoing process of reviews to assess whether the original thesis remains valid, adapting and adjusting approach.
Research process—from pattern recognition to strategy clarification, data collection and decision support. AI increases analytical depth and accelerates insight generation beyond conventional processing capabilities.
Collection and interpretation of data about market conditions, competitors and trends. Probability, not certainty.
Comparison, charts, analysis and data-driven decision-making based on multiple sources.
Process of inquiry, investigation, undertaken to discover new knowledge, interpret facts, revise existing theories.
Expert Advisors in MQL4/5 with AI-assisted development. Custom parameters from proprietary research.
To extract strategic business value, assess future revenue streams, SWOT analysis.
Conclusions from gathered data, adaptation, contextual intuition, AI oversight.
Master’s degree in Economics and practical experience with an individual approach to markets. Built on rule-based decision supported by analytical research, demand cycles and macro-micro news-data elevated by AI.
Markets are constantly evolving. Their entire structure is transforming with the rapid advancement of new technologies. The ability to actively invest and participate in these changes - the ones that will define the future - is, and will continue to be, crucial.
While the role of data aggregation tools and analytical methods has changed, the human element — intuition, judgment, and a deep understanding of market behavior — remains unmatched.
+ Past Experience related to Tech·IT
| Agile-Scrum | Yes |
| Jira | Yes |
| SaaS | Yes |
| BI-eCommerce | Yes |
| Backlog | Yes |
| AI-Claude-Grok etc. | Yes |
| Corpo-Startup | Yes |
| International teams | Yes |
| Time Zone | CET · EST |
| Exp in IT / Markets | Parallel |
| Remote | Yes, familiar |
| Open to work-collab | Yes, open minded |
| Creative | Of course :) |