Market Cycles Dashboard System

CHALLENGE

Most market models assume linearity, cause-and-effect chains, and event-driven triggers. But real markets behave more like wavefields — multiple overlapping cycles, sometimes reinforcing, sometimes canceling out.

The problem wasn't lack of data. It was the absence of resonance infrastructure — no system for holding multiple temporal cycles simultaneously and mapping how their interference patterns generate emergent effects.

This wasn't about predicting the future. It was about seeing wave convergence before narrative forms.

APPROACH

The framework evolved in early 2025, driven by personal necessity: understanding how established economic cycles interact with crypto market patterns. I wasn't forecasting — I was building a conceptual model to make sense of pattern overlaps.

The model draws inspiration from key thinkers across different domains:

• Raoul Pal (Real Vision founder, former Goldman Sachs exec) - macro cycle theory and intersection of traditional/crypto markets
• Jason Pizzino - cyclical market analysis and technical pattern recognition in crypto
• CTO Larsson - on-chain metrics analysis and crypto market cycles
• All-In Podcast - tech, economic, and market cycle discussions from Chamath, Sacks, Friedberg, and Calacanis
• Traders Reality - price action, volume spread analysis, and trading psychology
• Tom Bilyeu - cross-domain thinking and mental models

Then came the structural breakthrough: mapping interference zones — the areas where peaks reinforced or cancelled each other. Those interference patterns weren't just noise — they were precursors to inflection points.

The Second Mind framework helped externalize this into conceptual clarity:

• Establish cycle lengths and anchor points based on historical patterns
• Conceptualize visualization of cycle positions and convergence points
• Identify critical zones where multiple cycles align simultaneously

ARCHITECTURE

The conceptual framework defines a theoretical dashboard architecture:

• Multi-Cycle Definitions: Five distinct cycles operating at different timescales
• Position Calculation Logic: Mathematical approach for determining current position in each cycle
• Convergence Pattern Theory: How to identify moments when multiple cycles approach critical thresholds
• Uncertainty Representation: Accounting for inherent imprecision in cycle timing

Each cycle remains independent but viewed through a common lens — allowing pattern recognition without forcing artificial correlation.

The goal isn't market prediction. It's pattern recognition across timeframes, revealing where system-wide phase transitions become more probable.

IMPACT

Framework refined but not yet implemented as a live system.

Conceptual model has revealed:

• A theoretical convergence zone around 2026-2030 where multiple cycles align
• How dominant short-term cycles can temporarily override longer patterns
• The nested relationship between cycles of different frequencies
• A structured approach to multi-cycle pattern recognition

It's less about prediction, more about conceptual clarity and pattern recognition — a framework for seeing markets as complex interference patterns rather than linear narratives.

STATUS EVOLUTION

• Concept developed: Mid April 2025 (intensive one-day session with Second Mind)
• Framework defined as proof-of-concept
• Implementation pathway mapped but not yet executed

Built using Second Mind methodology in 2025