Conviction-Based Capital Allocation | Cross-Asset Macro Strategy & Long-Term Investment Analysis
I manage a private multi-asset portfolio across crypto, stocks, and commodities, using a conviction-driven strategy grounded in macroeconomic research, technical confluence, and psychological discipline. My investment approach is structured around understanding cross-asset flows, global risk regimes, and capital allocation frameworks with a long-term orientation.
Note: All visuals and frameworks are illustrative and simplified for portfolio presentation purposes. They do not represent the full scope or execution specifics of my investment methodology.
Note: All visuals and frameworks are illustrative and simplified for portfolio presentation purposes. They do not represent the full scope or execution specifics of my investment methodology.
Market Regimes – Identifying Macro Trends
Rather than relying on isolated signals, I take a multi-asset perspective to understand market phases and rotations. My process integrates global liquidity conditions, macro catalysts, and relative strength shifts between key assets to anticipate transitions in trend and risk posture.
I focus on how capital flows between markets (crypto, equities, commodities, and currencies) reveal changes in investor sentiment and opportunity windows. This top-down perspective allows me to align my strategy with the broader macro environment, particularly during periods of volatility expansion or trend reversal.
Note: This overview is intentionally high-level and conceptual to protect proprietary aspects of my investment process.
MACD - Momentum & Reversal Confluence
Used primarily for timing entries during mid- to late-stage trends. I rely on MACD divergence and histogram crossovers as confluence to larger structural breaks in momentum, particularly during major stock or gold rotations.
Aroon Oscillator – Market Phase Confirmation
Aroon is my go-to for identifying whether an asset is in consolidation or entering a defined bullish/bearish trend. It complements other lagging indicators and helps filter noise, especially in sideways conditions.
RSI – Overextension & Reversal Precision
The Relative Strength Index (RSI) is a core component of my short-to-mid-term execution framework. I use it not just to detect overbought or oversold conditions, but more importantly to observe momentum shifts, hidden divergences, and compression zones ahead of structural reversals. RSI, combined with volume and trend confluence, often signals when a move is nearing exhaustion — especially in high-leverage environments like ETFs or gold spot trading.
Behavioral Anchors – Fear, Greed & Sentiment Models
Investment psychology plays a central role in my long-term portfolio decisions. I often cross-reference the Crypto Fear & Greed Index and CNN’s sentiment models to assess whether market behavior is rational or euphoric. These inform risk-on/risk-off allocations.
Macro Events – Policy, Liquidity & Risk Posture
Macro catalysts such as FOMC meetings, quantitative easing/tightening cycles, inflation data, and liquidity reports guide my high-timeframe strategy. These inputs shape my macro narrative and define how aggressively I deploy capital into positions.
