BTC…ETH…ETH gas…Fear & Greed…Live data · not advice

Academy School · Chapter 7 of 14

Market Cycles & Macro

How liquidity, rates, halvings, and flows shape crypto cycles.

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Liquidity and Money Supply

Global liquidity can influence demand for risk assets, including crypto. When capital is abundant, speculative appetite often rises; when conditions tighten, enthusiasm can fade quickly.

Crypto does not trade in isolation. Macro conditions can amplify the strength or weakness of market moves, even when the underlying technology has not changed.

  • Liquidity can influence risk appetite.
  • Crypto is not isolated from macro.
  • Conditions can amplify market moves.
Core idea

Macro liquidity helps explain why crypto markets can expand or contract together.

Halvings and Supply Shocks

Bitcoin halvings reduce the rate of new issuance. That matters because supply changes can influence market expectations, especially when paired with changing demand.

Still, a halving is not a magic price event. Markets are shaped by many forces at once, so simple stories should be treated with caution.

  • Halvings reduce new issuance.
  • Supply changes matter with demand.
  • Simple narratives can mislead.
Core idea

Halvings matter, but they are only one input in a broader market system.

Institutions and ETF Flows

Institutional products can change who can access crypto and how capital enters the market. That does not remove volatility, but it can alter distribution and pace of demand.

Flow dynamics matter because they reflect actual capital movement rather than opinion. Good analysis distinguishes access, narrative, and realized participation.

  • Access can change market structure.
  • Flows show actual capital movement.
  • Institutional access does not remove risk.
Core idea

Flows often matter more than slogans when reading market structure.

Reading the Cycle

Markets often move through phases such as accumulation, expansion, euphoria, and correction. These stages are useful as a lens, but real markets are messier than any single pattern.

The best cycle analysis uses probabilities, not certainty. That approach keeps expectations flexible and reduces the urge to force every market into a perfect script.

  • Cycles often change in phases.
  • No cycle repeats perfectly.
  • Use probabilities, not certainty.
Core idea

Cycle thinking should guide judgment, not pretend to predict the future.

Further reading

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