Traditional Finance
Equities, stocks, exchange-traded funds, contracts for difference and index funds.
StocksEquitiesETFCFDIndices
Research-DrivenMarket
Intelligence
Research-driven market intelligence across financial markets — combining technical and fundamental analysis with AI-powered insights. Backed by hands-on experience in investing and trading, alongside practical knowledge in the IT-Tech sector.
| Asset Class | Allocation |
|---|---|
| Equities | High |
| Commodities | Mid |
| Forex | Low |
| ETF | Minor |
| CFD | Minor |
| Other / $ | Balanced |
| Sector | Industry Mix | Weight |
|---|---|
| Aerospace-Defense | High |
| Robotics-AI / UAM-AAM-eVTOL | High |
| Software-AIP / Quantum | Mid |
| Energy / Hardware | Mid |
| Other | Low |
| Alternative Investments | Low |
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.
NEW
Latest portfolio update. Increased exposure to quantum computing and aerospace
NOTE
Portfolio update. Increased exposure to robotics, aerospace and air mobility
NOTE
Revision, adding positions in the energy and hardware sector
UPDATE
Updating algoEA based on research and own parameters. Rewrite-EA = AI
ALERT
Exited a company due to intensifying competition and limited progress
3.1
3.2
Forex
FX markets and currency pairs.
FXUSDEURJPYGBP
3.3
Commodities
Precious metals, energy and agricultural futures.
GoldSilverOilCoffeeand more
3.4
Centralized Finance
Regulated exchange-traded digital assets, financial services and platforms operated by centralized entities.
CeFiDigital AssetsRegulated
3.5
Decentralized Finance
Blockchain-based financial system, DeFi tools
Web3P2PNFT
3.6
Session Coverage
Monitoring spanning North American and European - sessions overlap.
GlobalCET-ESTEU-US
Position trading is a long-horizon strategy built on the convergence of macroeconomic themes, sector momentum and multi-timeframe technical structure. Rather than reacting to daily noise, positions are held from weeks to years—allowing fundamental narratives to fully materialize into price. Patience, discipline and thesis validation form the core of this approach.
Typical Holding PeriodWeeks—Months—Years
Primary TimeframesH4 / D1 / W1
IndicatorsTrend
Demand CyclesMarket
4.1 — Trend
Trend Identification
Higher timeframe analysis (H4, D1, W1) to confirm primary market direction, sector rotation and stock opportunities.
MomentumTrendTechnicalEarly
4.2 — Entry
Entry Criteria
Entries triggered by confluence of key technical levels, fundamental catalysts and sector alignment.
Price ActionSupportBreakoutPullback
4.3 — Risk
Risk
Preserving capital through diversification, position sizing, price targets and stops. Assessment of risk taking-management.
PortfolioSizingTP/SL
4.4 — Macro
Macro Overlay
Central bank policy, earnings cycles, geopolitical developments and macro sentiment form the fundamental background.
MacroEarningsGeopoliticsPolicy
4.5 — Exit
Exit Point
Decisions based on thesis invalidation and predefined targets, not attachment.
TargetAssertiveInvalidation
4.6 — Review
Review
Ongoing process of reviews to assess whether the original thesis remains valid, adapting and adjusting approach.
RecheckEvent-DrivenThesis Check
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.
5.1
Market Intelligence
Collection and interpretation of data about market conditions, competitors and trends.
5.2
Data Dashboards
Comparison, charts, analysis and data-driven decision-making based on multiple sources.
5.3
Research
Process of inquiry, investigation, undertaken to discover new knowledge, interpret facts, revise existing theories.
5.4
Insights
To extract strategic business value, assess future revenue streams, SWOT analysis.
5.5
Human-AI synergy
Conclusions from gathered data, adaptation, contextual intuition, AI oversight.
5.6
Algo Strategies
Expert Advisors in MQL4/5 with AI-assisted development. Custom parameters from proprietary research.
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.
| In addition, past Experience related to Tech·IT | |
|---|---|
| Business Intelligence-QA | Yes |
| SaaS-eCommerce | Yes |
| AI-Claude-Grok etc. | Yes |
| Corpo-Startup | Yes |
| International teams | Yes |
| Agile-Scrum | Yes |
| Jira | Yes |
| Time Zone | CET · EST |
| Exp in IT / Markets | Parallel |
| Remote / Hybrid | Yes, familiar |
| Open to work-collab | Yes, open minded |
| Creative | Of course |